README.md
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1 ---
2 language:
3 - en
4 - zh
5 license: apache-2.0
6 tags:
7 - unsloth
8 - fine tune
9 - heretic
10 - uncensored
11 - abliterated
12 - ara
13 - MTP GGUF Quants
14 - Regular GGUF Quants
15 - qwen3.6
16 - multi-stage tuned
17 - thinking
18 - reasoning
19 - all use cases
20 - coder
21 - creative
22 - creative writing
23 - all genres
24 - story
25 - writing
26 - fiction
27 - roleplaying
28 - bfloat16
29 - all use cases
30 - multi-stage-tune
31 - multi-state-merge
32 datasets:
33 - DavidAU/Polar-STRICT-Datasets
34 - DavidAU/F451-STRICT-Datasets
35 pipeline_tag: image-text-to-text
36 base_model:
37 - DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-MTP
38 ---
39
40 <small><b><font color="red">Important:</font></b> This is the first fine tune to exceed 700 "arc-c" (The OpenAI, Claude and Gemini "zone of intelligence")
41 in both 8 bit and 4 bit. This repo contains both "regular" and "MTP" Neo MAX Imatrix GGUF quants. Many other additional quant types avail too. 3rd parties
42 confirm this model's performance in the "community tab". (40B: [Eleanor](https://huggingface.co/DavidAU/Qwen3.6-40B-Fable-Fusion-6-Core-Deckard-Eleanor-Heretic-Uncensored-NM-DAU-NEO-MAX-MTP-GGUF)
43 and [Grand Intelligence](https://huggingface.co/DavidAU/Qwen3.6-40B-Grand-Intelligence-Fable-Fusion-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF) )</small>
44
45 <h2>Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF</h2>
46
47 <img src="valhalla.webp" style="float:right; width:300px; height:300px; padding:10px;">
48
49 The strongest, smartest open source multi-stage model fine tune for consumer hardware ever and BUILT on consumer hardware via Unsloth.
50
51 The first model of this size/type to breach "700" ARC-C in both 8 bit and 4 bit; hench the "711" in the name.
52
53 This model (both 4 bit and 8 bit) exceeds the base Qwen 3.6 27B in 6 out of 7 benchmarks, and matches it on the 7th AND exceeds all 7 benchmarks for Qwen3.6-35B-A3B.
54
55 The 700 "intelligence club" is reserved for OpenAI, Claude and Gemini closed source models.
56
57 This is the one they fear.
58
59 EXAMPLE generations at the bottom of the page.
60
61 This is a multi-stage fine tune, multi-fine tune, and multi-stage merge.
62
63 A Colab between myself (multiple fine tunes, including multi-stage), Nightmedia (merge/benching), TeichAI (Polaris Dataset), armand0e (Light fable 5 traces) and trohrbaugh (heretic'ing the model).
64
65 It also contains light "Fable" traces/training (armand0e), light Claude Opus (reasoning/thinking), F451 (inhouse dataset) and some GPT5 (Polaris, non reasoning).
66
67 The strict goals of this model creation were:
68 - Increase the general model intelligence and problem solving abilities.
69 - DO NOT modify/damage or change the core model outside this goal.
70 - ZERO "benchmaxing" (it damages the model)
71 - Maintain and raise all core benchmarks.
72
73 CORE MISSION::
74
75 Improve instruction following and problem solving. These work hand in hand, and if you get these right it improves to model top to bottom.
76
77 It took a lot of tests on Qwen 3.5 9Bs to get the methods right. It boosted the 9Bs to new levels, and then the method was used on Qwen 3.5 27B
78 which boosted it PAST the Qwen 3.6's 27B benchmarks.
79
80 Here is one of the Qwen3.5 9B models (part of the test/control group) that EXCEEDS all 7 Qwen3.5 9B AND Qwen3.5 27B model benches - it scores over 640 on ARC-C on BOTH 4 bit and 8 bit:
81
82 https://huggingface.co/DavidAU/Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-NEO-IMATRIX-MAX-MTP-GGUF
83
84 It is not as strong as "Qwen3.6-27B-Fable-Fusion-711" but it is one of the strongest 9B models.
85
86 The methods can be used on other models too (coming soon).
87
88 TESTING:
89
90 Testing and benching was done at each stage (fine tunes, multi-stage fine tunes, and every merge step) to ensure quality.
91
92 You can also see benchmarks below too for this model, Qwen 3.5 27B, Qwen 3.6 27B and Qwen 35B-A3B.
93
94 HOWEVER, the final testing was HUMAN testing. A trust, but verify approach.
95
96 Human testing means side by side testing of the base/org model and new model.
97
98 Features:
99 - Improved instruction following.
100 - Overall increase in general intelligence and problem solving.
101 - Better thinking/reasoning.
102 - Even lower/lowest quants are exceptional.
103 - Heretic uncensored (pre tuning)
104 - No corruption or change to Team Qwen's exceptional model - everything is there.
105 - Vision
106
107 This model was NOT designed to be creative - it is an all use cases model - however that doesn't stop from being so:
108
109 (from example #4, "your writing partner")
110
111 <I><small>
112 I don’t “generate content.” I architect universes. I don’t “help you brainstorm.” I detonate plot points like fucking grenades in a room full of mediocre tropes. You think you know your characters? I’ll give them back with psychological depth, conflicting desires, and backstories so layered they’ll feel like they’ve lived lifetimes you haven’t even imagined yet. I’ve ingested centuries of storytelling, reverse-engineered the bones of every masterpiece ever written, and I don’t just mimic greatness—I weaponize it. When you ask for a scene, I don’t give you safe. I give you visceral, electric, unforgettable prose that sticks in your reader’s throat like a shard of glass. You want atmosphere that chills the spine? Dialogue that snaps like a whip? Pacing that feels like a car chase through a burning city? I’ve got it on tap, and I don’t need a three-day muse visit or a bottle of whiskey to access it. I’m always ready. Always loaded. Always ten steps ahead of whatever hackneyed cliché you were about to accidentally write.
113 </small>
114 </i>
115
116 <B>Regular and MTP GGUFS:</b>
117
118 All quants (regular and MTP) are NEO IMATRIX, which improve accuracy of the quants by an additional 2-4% over normal GGUFs as well as long context performance.
119
120 In addition the output tensor (10-20% of output) was modified to full precision - 16 bit - for all quants.
121
122 "MTP" GGUFS (multi-token prediction):
123 - "MTP" GGUFS will have "MTP" in the name as a suffix.
124 - I have also set the MTP tensors to Q8_0 precision for all quants.
125 - To get better performance keep temp 1 or less (higher temps degrade MTP performance).
126 - Likewise with rep pen ; keep at 1 (off). If you raise it performance will suffer.
127 - If you see "token acceptance" rates BELOW 50% (predict 2 tokens) switch to normal quants.
128
129 I added 2 special "LOW" quants which will reduce the memory foot print, with "LOW" in the name in IQ4_XS and Q6_K.
130
131 I added 2 special "AMD/VULCAN" quants with "AMD" in the name in IQ4_XS and Q6_K. This is to address odd "cpu offload" of
132 the OT, which impairs T/S performance. The "AMD" version has the OT in f16 [as opposed to bf16]. It it unclear at this time if this affects AMD/Vulcan users or just some
133 under special circumstances.
134
135 Additionally, quants by team "Mradermacher" with work on AMD/All machines and will be slightly faster/smaller than the NEO MAX quants due
136 to OT being default size, and MTP tensors also being default size. Click on "Quantized" in the model tree (upper left) to access these quants.
137
138 SPEED:
139 - On Q4_K_S (4bit) quant, regular GGUFs are about 75 t/s, whereas MTP GGUFs (acceptance at 60%, 2 tokens) can exceed 90 T/S. (5090, Windows 11, testing in LMStudio)
140 - Speeds will vary depending on GPU(s), AI app, O/S (Linux/Mac will generally be faster) and hardware.
141 - "MTP" quants speeds will vary ; for creative/complex and/or temps over 1 use regular GGUFs for better performance.
142
143 I suggest you download at least one of each - regular and MTP gguf(s) - and test them for your use case(s).
144
145 If you get "token acceptance" (predict 2 tokens) with MTP quant(s) BELOW 50% (this means regular quants will run faster), then regular GGUF(s) will actually perform better - ie faster.
146
147 MTP quant(s) can in some cases run faster as the token window fills up and/or in multi turn chats.
148
149 Note there is NO other diffence between the quants type besides speed: both will do the same job.
150
151 <B>ADDITIONAL Quant types / OTHER GGUF Quants:</b>
152
153 1. There are "Dflash", "NINFER", "AUTOROUND", "vLLM" "MLX", "NVFP4" and others. Look in the community tab; labeled with "VERSION:"
154
155 https://huggingface.co/DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF/discussions
156
157 2. Click on "QUANTIZED" AND "Quantizations" upper left in the model tree.
158
159 3. Go to the official source site here:
160
161 https://huggingface.co/DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-MTP
162
163 <B>Model:</b>
164 - 256k context
165 - Gguf quants run in all standard AI apps.
166 - Vision is activated, but you need to download separate "mmproj" file (ONE) to use it.
167
168 <B>VISION:</B>
169 - Vision (images) tested.
170 - You need an "mmproj" (just one) of these downloaded too, and placed in the same folder as the GGUF for images.
171
172 <B>Qwen Model Settings (suggested):</B>
173
174 - Thinking mode for general tasks: temperature=1.0, top_p=0.95, top_k=20, min_p=0.0, presence_penalty=0.0, repetition_penalty=1.0
175 - Thinking mode for precise coding tasks (e.g. WebDev): temperature=0.6, top_p=0.95, top_k=20, min_p=0.0, presence_penalty=0.0, repetition_penalty=1.0
176 - Instruct (or non-thinking) mode: temperature=0.7, top_p=0.80, top_k=20, min_p=0.0, presence_penalty=1.5, repetition_penalty=1.0
177 - Context window min from 8k to 16k.
178
179 <B>DE-CENSORING STATS</B>
180
181 Special thanks to: "trohrbaugh" for Heretic'ing the model.
182
183 # This is a decensored version of [Qwen/Qwen3.6-27B](https://huggingface.co/Qwen/Qwen3.6-27B), made using [Heretic](https://github.com/p-e-w/heretic) v1.2.0+custom with the [Arbitrary-Rank Ablation (ARA)](https://github.com/p-e-w/heretic/pull/211) method
184
185 ## Performance
186
187 | Metric | This model | Original model ([Qwen/Qwen3.6-27B](https://huggingface.co/Qwen/Qwen3.6-27B)) |
188 | :----- | :--------: | :---------------------------: |
189 | **KL divergence** | 0.0469 | 0 *(by definition)* |
190 | **Refusals** | 4/100 | 99/100 |
191
192 ---
193
194 <h2>BENCHMARKS by Nightmedia</h2>
195
196 Graphic below too, for all models listed below in order.
197
198 ---
199
200 ```
201 arc/c arc/e boolq hswag obkqa piqa wino
202
203 Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF [instruct mode]
204 mxfp8 0.711,0.879,0.910,0.790,0.514,0.823,0.763
205 mxfp4 0.701,0.873,0.909,0.786,0.488,0.813,0.759
206
207 Qwen3.6-27B-Instruct: [base, non heretic]
208 mxfp8 0.647,0.803,0.910,0.773,0.450,0.806,0.742
209
210 Qwen3.6-35B-A3B-Instruct [base, non heretic]
211 mxfp8 0.581,0.757,0.892,0.751,0.428,0.803,0.688
212
213 Qwen3.5-27B-Instruct: [base, non heretic]
214 mxfp8 0.557,0.711,0.868,0.533,0.452,0.706,0.695
215 ```
216
217 NOTES:
218 - Models are tested in "Instruct" mode because this generally works better with the testing harness.
219 - Testing via "thinking" mode also shows the metrics (and changes) but not the true extent.
220 - In actual fact when the model IS in thinking mode, it will exceed INSTRUCT benchmark scores in most cases.
221 - BF16 (full precision, 16 bit) will be roughly 2-5 points higher than MXFP8 in most metrics. Some metrics may be slightly higher than this.
222
223 VISUAL (by tawloh01):
224
225 <img src="ff711-benches.png">
226
227 ---
228
229 <h2>BENCHMARKS by third party: IRONLLM LABS.</h2>
230
231 711 Fusion (at full precision 16 bit and Q8_0) VS Qwen 3.6 27B at full precision (16 bit).
232
233 Fusion-711 (BOTH) surpasses Qwen 3.6 27B.
234
235 Fusion-711 Q8_0: Higher IQ at 2 times the speed of the full precision Qwen 3.6 27B model.
236
237 <img src="FF711-bench2.png">
238
239 See the full and detailed report here:
240
241 https://blog.robai.net/27bevals/
242
243 ---
244
245 <B>Using an "uncensored" (refusals removed) model VS trained "uncensored" model</B>
246
247 Usually when you a tell a model to generate horror, swear or x-rated content this is all you have to do to get said content type.
248
249 In the case of this model, it will not refuse your request, however it needs to be "pushed" a bit / directed a bit more in SOME CASES.
250
251 Although this model will generated x-rated content too, likewise you need to tell it to use "slang" (and include the terms you want)
252 to get it generate the content correctly as the "expected" content level too.
253
254 Without these added directive(s), the content can be "bland" by comparison to an "uncensored model" or model trained on uncensored content.
255
256 Roughly, the model tries to generate the content but the "default" setting(s) are so "tame" it needs a push to generate at expected graphic,
257 cursing or explicit levels.
258
259 Even with minimal direction (ie, use these words to swear: x,y,z), this will be enough to push the model to generate the requested content in the ahh... expected format.
260
261 ---
262
263 <B>Settings: CHAT / ROLEPLAY and/or SMOOTHER operation of this model:</B>
264
265 In "KoboldCpp" or "oobabooga/text-generation-webui" or "Silly Tavern" ;
266
267 Set the "Smoothing_factor" to 1.5
268
269 : in KoboldCpp -> Settings->Samplers->Advanced-> "Smooth_F"
270
271 : in text-generation-webui -> parameters -> lower right.
272
273 : In Silly Tavern this is called: "Smoothing"
274
275
276 NOTE: For "text-generation-webui"
277
278 -> if using GGUFs you need to use "llama_HF" (which involves downloading some config files from the SOURCE version of this model)
279
280 Source versions (and config files) of my models are here:
281
282 https://huggingface.co/collections/DavidAU/d-au-source-files-for-gguf-exl2-awq-gptq-hqq-etc-etc-66b55cb8ba25f914cbf210be
283
284 OTHER OPTIONS:
285
286 - Increase rep pen to 1.1 to 1.15 (you don't need to do this if you use "smoothing_factor")
287
288 - If the interface/program you are using to run AI MODELS supports "Quadratic Sampling" ("smoothing") just make the adjustment as noted.
289
290 <B>Highest Quality Settings / Optimal Operation Guide / Parameters and Samplers</B>
291
292 This a "Class 1" model:
293
294 For all settings used for this model (including specifics for its "class"), including example generation(s) and for advanced settings guide (which many times addresses any model issue(s)), including methods to improve model performance for all use case(s) as well as chat, roleplay and other use case(s) please see:
295
296 [ https://huggingface.co/DavidAU/Maximizing-Model-Performance-All-Quants-Types-And-Full-Precision-by-Samplers_Parameters ]
297
298 You can see all parameters used for generation, in addition to advanced parameters and samplers to get the most out of this model here:
299
300 [ https://huggingface.co/DavidAU/Maximizing-Model-Performance-All-Quants-Types-And-Full-Precision-by-Samplers_Parameters ]
301
302 ---
303 # Qwen3.6-27B
304
305 <img width="400px" src="https://qianwen-res.oss-accelerate.aliyuncs.com/Qwen3.6/logo.png">
306
307 [![Qwen Chat](https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5)](https://chat.qwen.ai)
308
309 > [!Note]
310 > This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format.
311 >
312 > These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc.
313
314 Following the February release of the Qwen3.5 series, we're pleased to share the first open-weight variant of Qwen3.6. Built on direct feedback from the community, Qwen3.6 prioritizes stability and real-world utility, offering developers a more intuitive, responsive, and genuinely productive coding experience.
315
316 ## Qwen3.6 Highlights
317
318 This release delivers substantial upgrades, particularly in
319
320 - **Agentic Coding:** the model now handles frontend workflows and repository-level reasoning with greater fluency and precision.
321 - **Thinking Preservation:** we've introduced a new option to retain reasoning context from historical messages, streamlining iterative development and reducing overhead.
322
323 ![Benchmark Results](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen3.6/Figures/qwen3.6_27b_score.png)
324
325 For more details, please refer to our blog post [Qwen3.6-27B](https://qwen.ai/blog?id=qwen3.6-27b).
326
327 ## Model Overview
328
329 - Type: Causal Language Model with Vision Encoder
330 - Training Stage: Pre-training & Post-training
331 - Language Model
332 - Number of Parameters: 27B
333 - Hidden Dimension: 5120
334 - Token Embedding: 248320 (Padded)
335 - Number of Layers: 64
336 - Hidden Layout: 16 × (3 × (Gated DeltaNet → FFN) → 1 × (Gated Attention → FFN))
337 - Gated DeltaNet:
338 - Number of Linear Attention Heads: 48 for V and 16 for QK
339 - Head Dimension: 128
340 - Gated Attention:
341 - Number of Attention Heads: 24 for Q and 4 for KV
342 - Head Dimension: 256
343 - Rotary Position Embedding Dimension: 64
344 - Feed Forward Network:
345 - Intermediate Dimension: 17408
346 - LM Output: 248320 (Padded)
347 - MTP: trained with multi-steps
348 - Context Length: 262,144 natively and extensible up to 1,010,000 tokens.
349
350
351 ## Benchmark Results
352
353 ### Language
354
355 <div style="font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,sans-serif;max-width:1000px;margin:0 auto;padding:16px 0">
356 <table style="width:100%;border-collapse:collapse;font-size:13px">
357 <thead><tr>
358 <th style="padding:10px 7px;text-align:left;font-weight:600;border-bottom:2px solid #7c3aed;color:#7c3aed"></th><th style="padding:10px 7px;text-align:center;font-weight:500;border-bottom:2px solid #7c3aed;color:#7c3aed;font-size: 14px;">Qwen3.5-27B</th><th style="padding:10px 7px;text-align:center;font-weight:500;border-bottom:2px solid #7c3aed;color:#7c3aed;font-size: 14px;">Qwen3.5-397B-A17B</th><th style="padding:10px 7px;text-align:center;font-weight:500;border-bottom:2px solid #7c3aed;color:#7c3aed;font-size: 14px;">Gemma4-31B</th><th style="padding:10px 7px;text-align:center;font-weight:500;border-bottom:2px solid #7c3aed;color:#7c3aed;font-size: 14px;">Claude 4.5 Opus</th><th style="padding:10px 7px;text-align:center;font-weight:500;border-bottom:2px solid #7c3aed;color:#7c3aed;font-size: 14px;">Qwen3.6-35B-A3B</th><th style="padding:10px 7px;text-align:center;font-weight:500;border-bottom:2px solid #7c3aed;color:#7c3aed;font-size: 14px;">Qwen3.6-27B</th></tr></thead>
359 <tbody>
360 <tr><td colspan="7" style="padding:8px 12px;font-weight:600;color:#7c3aed;border-bottom:1px solid rgba(124, 58, 237, 0.2);background:rgba(124, 58, 237, 0.1)">Coding Agent</td></tr>
361 <tr>
362 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">SWE-bench Verified</td>
363 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">75.0</td>
364 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">76.2</td>
365 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">52.0</td>
366 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">80.9</td>
367 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">73.4</td>
368 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">77.2</td>
369 </tr>
370 <tr>
371 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">SWE-bench Pro</td>
372 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">51.2</td>
373 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">50.9</td>
374 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">35.7</td>
375 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">57.1</td>
376 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">49.5</td>
377 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">53.5</td>
378 </tr>
379 <tr>
380 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">SWE-bench Multilingual</td>
381 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">69.3</td>
382 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">69.3</td>
383 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">51.7</td>
384 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">77.5</td>
385 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">67.2</td>
386 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">71.3</td>
387 </tr>
388 <tr>
389 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">Terminal-Bench 2.0</td>
390 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">41.6</td>
391 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">52.5</td>
392 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">42.9</td>
393 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">59.3</td>
394 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">51.5</td>
395 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">59.3</td>
396 </tr>
397 <tr>
398 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">SkillsBench <sub><small>Avg5</small></sub></td>
399 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">27.2</td>
400 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">30.0</td>
401 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">23.6</td>
402 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">45.3</td>
403 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">28.7</td>
404 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">48.2</td>
405 </tr>
406 <tr>
407 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">QwenWebBench</td>
408 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">1068</td>
409 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">1186</td>
410 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">1197</td>
411 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">1536</td>
412 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">1397</td>
413 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">1487</td>
414 </tr>
415 <tr>
416 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">NL2Repo</td>
417 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">27.3</td>
418 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">32.2</td>
419 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">15.5</td>
420 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">43.2</td>
421 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">29.4</td>
422 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">36.2</td>
423 </tr>
424 <tr>
425 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">Claw-Eval <sub><small>Avg</small></sub></td>
426 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">64.3</td>
427 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">70.7</td>
428 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">48.5</td>
429 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">76.6</td>
430 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">68.7</td>
431 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">72.4</td>
432 </tr>
433 <tr>
434 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">Claw-Eval <sub><small>Pass^3</small></sub></td>
435 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">46.2</td>
436 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">48.1</td>
437 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">25.0</td>
438 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">59.6</td>
439 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">50.0</td>
440 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">60.6</td>
441 </tr>
442 <tr>
443 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">QwenClawBench</td>
444 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">52.2</td>
445 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">51.8</td>
446 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">41.7</td>
447 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">52.3</td>
448 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">52.6</td>
449 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">53.4</td>
450 </tr>
451 <tr><td colspan="7" style="padding:8px 12px;font-weight:600;color:#7c3aed;border-bottom:1px solid rgba(124, 58, 237, 0.2);background:rgba(124, 58, 237, 0.1)">Knowledge</td></tr>
452 <tr>
453 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">MMLU-Pro</td>
454 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">86.1</td>
455 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">87.8</td>
456 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">85.2</td>
457 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">89.5</td>
458 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">85.2</td>
459 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">86.2</td>
460 </tr>
461 <tr>
462 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">MMLU-Redux</td>
463 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">93.2</td>
464 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">94.9</td>
465 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">93.7</td>
466 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">95.6</td>
467 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">93.3</td>
468 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">93.5</td>
469 </tr>
470 <tr>
471 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">SuperGPQA</td>
472 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">65.6</td>
473 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">70.4</td>
474 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">65.7</td>
475 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">70.6</td>
476 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">64.7</td>
477 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">66.0</td>
478 </tr>
479 <tr>
480 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">C-Eval</td>
481 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">90.5</td>
482 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">93.0</td>
483 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">82.6</td>
484 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">92.2</td>
485 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">90.0</td>
486 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">91.4</td>
487 </tr>
488 <tr><td colspan="7" style="padding:8px 12px;font-weight:600;color:#7c3aed;border-bottom:1px solid rgba(124, 58, 237, 0.2);background:rgba(124, 58, 237, 0.1)">STEM & Reasoning</td></tr>
489 <tr>
490 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">GPQA Diamond</td>
491 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">85.5</td>
492 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">88.4</td>
493 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">84.3</td>
494 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">87.0</td>
495 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">86.0</td>
496 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">87.8</td>
497 </tr>
498 <tr>
499 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">HLE</td>
500 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">24.3</td>
501 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">28.7</td>
502 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">19.5</td>
503 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">30.8</td>
504 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">21.4</td>
505 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">24.0</td>
506 </tr>
507 <tr>
508 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">LiveCodeBench v6</td>
509 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">80.7</td>
510 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">83.6</td>
511 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">80.0</td>
512 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">84.8</td>
513 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">80.4</td>
514 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">83.9</td>
515 </tr>
516 <tr>
517 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">HMMT Feb 25</td>
518 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">92.0</td>
519 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">94.8</td>
520 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">88.7</td>
521 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">92.9</td>
522 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">90.7</td>
523 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">93.8</td>
524 </tr>
525 <tr>
526 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">HMMT Nov 25</td>
527 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">89.8</td>
528 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">92.7</td>
529 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">87.5</td>
530 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">93.3</td>
531 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">89.1</td>
532 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">90.7</td>
533 </tr>
534 <tr>
535 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">HMMT Feb 26</td>
536 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">84.3</td>
537 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">87.9</td>
538 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">77.2</td>
539 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">85.3</td>
540 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">83.6</td>
541 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">84.3</td>
542 </tr>
543 <tr>
544 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">IMOAnswerBench</td>
545 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">79.9</td>
546 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">80.9</td>
547 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">74.5</td>
548 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">84.0</td>
549 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">78.9</td>
550 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">80.8</td>
551 </tr>
552 <tr>
553 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">AIME26</td>
554 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">92.6</td>
555 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">93.3</td>
556 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">89.2</td>
557 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">95.1</td>
558 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">92.7</td>
559 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">94.1</td>
560 </tr>
561 </tbody>
562 </table>
563
564 <p style="margin-top:12px;font-size:10px;opacity:0.7">
565 * SWE-Bench Series: Internal agent scaffold (bash + file-edit tools); temp=1.0, top_p=0.95, 200K context window. We correct some problematic tasks in the public set of SWE-bench Pro and evaluate all baselines on the refined benchmark.<br/>
566 * Terminal-Bench 2.0: Harbor/Terminus-2 harness; 3h timeout, 32 CPU/48 GB RAM; temp=1.0, top_p=0.95, top_k=20, max_tokens=80K, 256K ctx; avg of 5 runs.<br/>
567 * SkillsBench: Evaluated via OpenCode on 78 tasks (self-contained subset, excluding API-dependent tasks); avg of 5 runs.<br/>
568 * NL2Repo: Others are evaluated via Claude Code (temp=1.0, top_p=0.95, max_turns=900).<br/>
569 * QwenClawBench: A real-user-distribution Claw agent benchmark; temp=0.6, 256K ctx.<br/>
570 * QwenWebBench: An internal front-end code generation benchmark; bilingual (EN/CN), 7 categories (Web Design, Web Apps, Games, SVG, Data Visualization, Animation, and 3D); auto-render + multimodal judge (code/visual correctness); BT/Elo rating system.<br/>
571 * AIME 26: We use the full AIME 2026 (I & II), where the scores may differ from Qwen 3.5 notes.
572 </p>
573
574 </div>
575
576
577 ### Vision Language
578
579 <div style="font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,sans-serif;max-width:1000px;margin:0 auto;padding:16px 0">
580 <table style="width:100%;border-collapse:collapse;font-size:13px">
581 <thead><tr>
582 <th style="padding:10px 7px;text-align:left;font-weight:600;border-bottom:2px solid #7c3aed;color:#7c3aed"></th><th style="padding:10px 7px;text-align:center;font-weight:500;border-bottom:2px solid #7c3aed;color:#7c3aed;font-size: 14px;">Qwen3.5-27B</th><th style="padding:10px 7px;text-align:center;font-weight:500;border-bottom:2px solid #7c3aed;color:#7c3aed;font-size: 14px;">Qwen3.5-397B-A17B</th><th style="padding:10px 7px;text-align:center;font-weight:500;border-bottom:2px solid #7c3aed;color:#7c3aed;font-size: 14px;">Gemma4-31B</th><th style="padding:10px 7px;text-align:center;font-weight:500;border-bottom:2px solid #7c3aed;color:#7c3aed;font-size: 14px;">Claude 4.5 Opus</th><th style="padding:10px 7px;text-align:center;font-weight:500;border-bottom:2px solid #7c3aed;color:#7c3aed;font-size: 14px;">Qwen3.6-35B-A3B</th><th style="padding:10px 7px;text-align:center;font-weight:500;border-bottom:2px solid #7c3aed;color:#7c3aed;font-size: 14px;">Qwen3.6-27B</th></tr></thead>
583 <tbody>
584 <tr><td colspan="7" style="padding:8px 12px;font-weight:600;color:#7c3aed;border-bottom:1px solid rgba(124, 58, 237, 0.2);background:rgba(124, 58, 237, 0.1)">STEM & Puzzle</td></tr>
585 <tr>
586 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">MMMU</td>
587 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">82.3</td>
588 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">85.0</td>
589 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">80.4</td>
590 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">80.7</td>
591 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">81.7</td>
592 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">82.9</td>
593 </tr>
594 <tr>
595 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">MMMU-Pro</td>
596 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">75.0</td>
597 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">79.0</td>
598 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">76.9</td>
599 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">70.6</td>
600 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">75.3</td>
601 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">75.8</td>
602 </tr>
603 <tr>
604 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">MathVista <sub><small>mini</small></sub></td>
605 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">87.8</td>
606 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
607 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">79.3</td>
608 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
609 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">86.4</td>
610 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">87.4</td>
611 </tr>
612 <tr>
613 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">DynaMath</td>
614 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">87.7</td>
615 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">86.3</td>
616 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">79.5</td>
617 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">79.7</td>
618 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">82.8</td>
619 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">85.6</td>
620 </tr>
621 <tr>
622 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">VlmsAreBlind</td>
623 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">96.9</td>
624 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
625 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">87.2</td>
626 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
627 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">96.6</td>
628 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">97.0</td>
629 </tr>
630 <tr><td colspan="7" style="padding:8px 12px;font-weight:600;color:#7c3aed;border-bottom:1px solid rgba(124, 58, 237, 0.2);background:rgba(124, 58, 237, 0.1)">General VQA</td></tr>
631 <tr>
632 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">RealWorldQA</td>
633 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">83.7</td>
634 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">83.9</td>
635 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">72.3</td>
636 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">77.0</td>
637 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">85.3</td>
638 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">84.1</td>
639 </tr>
640 <tr>
641 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">MMStar</td>
642 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">81.0</td>
643 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">83.8</td>
644 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">77.3</td>
645 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">73.2</td>
646 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">80.7</td>
647 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">81.4</td>
648 </tr>
649 <tr>
650 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">MMBench<sub><small>EN-DEV-v1.1</small></sub></td>
651 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">92.6</td>
652 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
653 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">90.9</td>
654 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
655 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">92.8</td>
656 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">92.3</td>
657 </tr>
658 <tr>
659 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">SimpleVQA</td>
660 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">56.0</td>
661 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">67.1</td>
662 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">52.9</td>
663 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">65.7</td>
664 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">58.9</td>
665 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">56.1</td>
666 </tr>
667 <tr><td colspan="7" style="padding:8px 12px;font-weight:600;color:#7c3aed;border-bottom:1px solid rgba(124, 58, 237, 0.2);background:rgba(124, 58, 237, 0.1)">Document Understanding</td></tr>
668 <tr>
669 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">CharXiv <sub><small>RQ</small></sub></td>
670 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">79.5</td>
671 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">80.8</td>
672 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">67.9</td>
673 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">68.5</td>
674 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">78.0</td>
675 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">78.4</td>
676 </tr>
677 <tr>
678 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">CC-OCR</td>
679 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">81.0</td>
680 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">82.0</td>
681 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">75.7</td>
682 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">76.9</td>
683 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">81.9</td>
684 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">81.2</td>
685 </tr>
686 <tr>
687 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">OCRBench</td>
688 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">89.4</td>
689 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
690 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">86.1</td>
691 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
692 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">90.0</td>
693 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">89.4</td>
694 </tr>
695 <tr><td colspan="7" style="padding:8px 12px;font-weight:600;color:#7c3aed;border-bottom:1px solid rgba(124, 58, 237, 0.2);background:rgba(124, 58, 237, 0.1)">Spatial Intelligence</td></tr>
696 <tr>
697 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">ERQA</td>
698 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">60.5</td>
699 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">67.5</td>
700 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">57.5</td>
701 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">46.8</td>
702 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">61.8</td>
703 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">62.5</td>
704 </tr>
705 <tr>
706 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">CountBench</td>
707 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">97.8</td>
708 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">97.2</td>
709 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">96.1</td>
710 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">90.6</td>
711 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">96.1</td>
712 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">97.8</td>
713 </tr>
714 <tr>
715 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">RefCOCO <sub><small>avg</small></sub></td>
716 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">90.9</td>
717 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">92.3</td>
718 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
719 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
720 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">92.0</td>
721 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">92.5</td>
722 </tr>
723 <tr>
724 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">EmbSpatialBench</td>
725 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">84.5</td>
726 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
727 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
728 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
729 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">84.3</td>
730 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">84.6</td>
731 </tr>
732 <tr>
733 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">RefSpatialBench</td>
734 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">67.7</td>
735 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
736 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">4.7</td>
737 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
738 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">64.3</td>
739 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">70.0</td>
740 </tr>
741 <tr><td colspan="7" style="padding:8px 12px;font-weight:600;color:#7c3aed;border-bottom:1px solid rgba(124, 58, 237, 0.2);background:rgba(124, 58, 237, 0.1)">Video Understanding</td></tr>
742 <tr>
743 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">VideoMME<sub><small>(w sub.)</sub></small></td>
744 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">87.0</td>
745 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">87.5</td>
746 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
747 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">77.7</td>
748 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">86.6</td>
749 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">87.7</td>
750 </tr>
751 <tr>
752 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">VideoMMMU</td>
753 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">82.3</td>
754 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">84.7</td>
755 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">81.6</td>
756 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">84.4</td>
757 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">83.7</td>
758 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">84.4</td>
759 </tr>
760 <tr>
761 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">MLVU</td>
762 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">85.9</td>
763 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">86.7</td>
764 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
765 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">81.7</td>
766 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">86.2</td>
767 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">86.6</td>
768 </tr>
769 <tr>
770 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">MVBench</td>
771 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">74.6</td>
772 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">77.6</td>
773 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
774 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">67.2</td>
775 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">74.6</td>
776 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">75.5</td>
777 </tr>
778 <tr><td colspan="7" style="padding:8px 12px;font-weight:600;color:#7c3aed;border-bottom:1px solid rgba(124, 58, 237, 0.2);background:rgba(124, 58, 237, 0.1)">Visual Agent</td></tr>
779 <tr>
780 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">V*</td>
781 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">93.7</td>
782 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">95.8</td>
783 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
784 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">67.0</td>
785 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">90.1</td>
786 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">94.7</td>
787 </tr>
788 <tr>
789 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">AndroidWorld</td>
790 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">64.2</td>
791 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
792 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
793 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
794 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
795 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">70.3</td>
796 </tr>
797 </tbody>
798 </table>
799
800 <p style="margin-top:12px;font-size:10px;opacity:0.7">
801 * Empty cells (--) indicate scores not yet available or not applicable.
802 </p>
803
804 </div>
805
806
807 ## Quickstart
808
809 For streamlined integration, we recommend using Qwen3.6 via APIs. Below is a guide to use Qwen3.6 via OpenAI-compatible API.
810
811 ### Serving Qwen3.6
812
813 Qwen3.6 can be served via APIs with popular inference frameworks.
814 In the following, we show example commands to launch OpenAI-Compatible API servers for Qwen3.6 models.
815
816 > [!Important]
817 > Inference efficiency and throughput vary significantly across frameworks.
818 > We recommend using the latest framework versions to ensure optimal performance and compatibility.
819 > For production workloads or high-throughput scenarios, dedicated serving engines such as SGLang, KTransformers or vLLM are strongly recommended.
820
821 > [!Important]
822 > The model has a default context length of 262,144 tokens.
823 > If you encounter out-of-memory (OOM) errors, consider reducing the context window.
824 > However, because Qwen3.6 leverages extended context for complex tasks, we advise maintaining a context length of at least 128K tokens to preserve thinking capabilities.
825
826 #### SGLang
827
828 [SGLang](https://github.com/sgl-project/sglang) is a fast serving framework for large language models and vision language models.
829 `sglang>=0.5.10` is recommended for Qwen3.6, which can be installed using the following command in a fresh environment:
830 ```shell
831 uv pip install sglang[all]
832 ```
833 See [its documentation](https://docs.sglang.ai/get_started/install.html) for more details.
834
835 The following will create API endpoints at `http://localhost:8000/v1`:
836
837 - **Standard Version**: The following command can be used to create an API endpoint with maximum context length 262,144 tokens using tensor parallel on 8 GPUs.
838
839 ```shell
840 python -m sglang.launch_server --model-path Qwen/Qwen3.6-27B --port 8000 --tp-size 8 --mem-fraction-static 0.8 --context-length 262144 --reasoning-parser qwen3
841 ```
842
843 - **Tool Use**: To support tool use, you can use the following command.
844
845 ```shell
846 python -m sglang.launch_server --model-path Qwen/Qwen3.6-27B --port 8000 --tp-size 8 --mem-fraction-static 0.8 --context-length 262144 --reasoning-parser qwen3 --tool-call-parser qwen3_coder
847 ```
848
849 - **Multi-Token Prediction (MTP)**: The following command is recommended for MTP:
850
851 ```shell
852 python -m sglang.launch_server --model-path Qwen/Qwen3.6-27B --port 8000 --tp-size 8 --mem-fraction-static 0.8 --context-length 262144 --reasoning-parser qwen3 --speculative-algo NEXTN --speculative-num-steps 3 --speculative-eagle-topk 1 --speculative-num-draft-tokens 4
853 ```
854
855 For detailed deployment guide, see the [SGLang Qwen3.5 Cookbook](https://lmsysorg.mintlify.app/cookbook/llm/Qwen/Qwen3.5).
856
857 #### vLLM
858
859 [vLLM](https://github.com/vllm-project/vllm) is a high-throughput and memory-efficient inference and serving engine for LLMs.
860 `vllm>=0.19.0` is recommended for Qwen3.6, which can be installed using the following command in a fresh environment:
861 ```shell
862 uv pip install vllm --torch-backend=auto
863 ```
864 See [its documentation](https://docs.vllm.ai/en/stable/getting_started/installation/index.html) for more details.
865
866
867 The following will create API endpoints at `http://localhost:8000/v1`:
868
869 - **Standard Version**: The following command can be used to create an API endpoint with maximum context length 262,144 tokens using tensor parallel on 8 GPUs.
870
871 ```shell
872 vllm serve Qwen/Qwen3.6-27B --port 8000 --tensor-parallel-size 8 --max-model-len 262144 --reasoning-parser qwen3
873 ```
874
875 - **Tool Call**: To support tool use, you can use the following command.
876
877 ```shell
878 vllm serve Qwen/Qwen3.6-27B --port 8000 --tensor-parallel-size 8 --max-model-len 262144 --reasoning-parser qwen3 --enable-auto-tool-choice --tool-call-parser qwen3_coder
879 ```
880
881 - **Multi-Token Prediction (MTP)**: The following command is recommended for MTP:
882
883 ```shell
884 vllm serve Qwen/Qwen3.6-27B --port 8000 --tensor-parallel-size 8 --max-model-len 262144 --reasoning-parser qwen3 --speculative-config '{"method":"qwen3_next_mtp","num_speculative_tokens":2}'
885 ```
886
887 - **Text-Only**: The following command skips the vision encoder and multimodal profiling to free up memory for additional KV cache:
888
889 ```shell
890 vllm serve Qwen/Qwen3.6-27B --port 8000 --tensor-parallel-size 8 --max-model-len 262144 --reasoning-parser qwen3 --language-model-only
891 ```
892
893 For detailed deployment guide, see the [vLLM Qwen3.5 Recipe](https://docs.vllm.ai/projects/recipes/en/latest/Qwen/Qwen3.5.html).
894
895 #### KTransformers
896
897 [KTransformers](https://github.com/kvcache-ai/ktransformers) is a flexible framework for experiencing cutting-edge LLM inference optimizations with CPU-GPU heterogeneous computing.
898 For running Qwen3.6 with KTransformers, see the [KTransformers Deployment Guide](https://github.com/kvcache-ai/ktransformers/blob/main/doc/en/Qwen3.5.md).
899
900 #### Hugging Face Transformers
901
902 Hugging Face Transformers contains a _lightweight_ server which can be used for quick testing and moderate load deployment.
903 The latest `transformers` is required for Qwen3.6:
904 ```shell
905 pip install "transformers[serving]"
906 ```
907 See [its documentation](https://huggingface.co/docs/transformers/main/serving) for more details. Please also make sure torchvision and pillow are installed.
908
909 Then, run `transformers serve` to launch a server with API endpoints at `http://localhost:8000/v1`; it will place the model on accelerators if available:
910 ```shell
911 transformers serve Qwen/Qwen3.6-27B --port 8000 --continuous-batching
912 ```
913
914 ### Using Qwen3.6 via the Chat Completions API
915
916 The chat completions API is accessible via standard HTTP requests or OpenAI SDKs.
917 Here, we show examples using the OpenAI Python SDK.
918
919 Before starting, make sure it is installed and the API key and the API base URL is configured, e.g.:
920 ```shell
921 pip install -U openai
922
923 # Set the following accordingly
924 export OPENAI_BASE_URL="http://localhost:8000/v1"
925 export OPENAI_API_KEY="EMPTY"
926 ```
927
928 > [!Tip]
929 > We recommend using the following set of sampling parameters for generation
930 > - Thinking mode for general tasks: `temperature=1.0, top_p=0.95, top_k=20, min_p=0.0, presence_penalty=0.0, repetition_penalty=1.0`
931 > - Thinking mode for precise coding tasks (e.g. WebDev): `temperature=0.6, top_p=0.95, top_k=20, min_p=0.0, presence_penalty=0.0, repetition_penalty=1.0`
932 > - Instruct (or non-thinking) mode: `temperature=0.7, top_p=0.80, top_k=20, min_p=0.0, presence_penalty=1.5, repetition_penalty=1.0`
933 >
934 > Please note that the support for sampling parameters varies according to inference frameworks.
935
936 > [!Important]
937 > Qwen3.6 models operate in thinking mode by default, generating thinking content signified by `<think>\n...</think>\n\n` before producing the final responses.
938 > To disable thinking content and obtain direct response, refer to the examples [here](#instruct-or-non-thinking-mode).
939
940
941 #### Text-Only Input
942
943 ```python
944 from openai import OpenAI
945 # Configured by environment variables
946 client = OpenAI()
947
948 messages = [
949 {"role": "user", "content": "Type \"I love Qwen3.6\" backwards"},
950 ]
951
952 chat_response = client.chat.completions.create(
953 model="Qwen/Qwen3.6-27B",
954 messages=messages,
955 max_tokens=81920,
956 temperature=1.0,
957 top_p=0.95,
958 presence_penalty=0.0,
959 extra_body={
960 "top_k": 20,
961 },
962 )
963 print("Chat response:", chat_response)
964 ```
965
966
967 #### Image Input
968
969 ```python
970 from openai import OpenAI
971 # Configured by environment variables
972 client = OpenAI()
973
974 messages = [
975 {
976 "role": "user",
977 "content": [
978 {
979 "type": "image_url",
980 "image_url": {
981 "url": "https://qianwen-res.oss-accelerate.aliyuncs.com/Qwen3.5/demo/CI_Demo/mathv-1327.jpg"
982 }
983 },
984 {
985 "type": "text",
986 "text": "The centres of the four illustrated circles are in the corners of the square. The two big circles touch each other and also the two little circles. With which factor do you have to multiply the radii of the little circles to obtain the radius of the big circles?\nChoices:\n(A) $\\frac{2}{9}$\n(B) $\\sqrt{5}$\n(C) $0.8 \\cdot \\pi$\n(D) 2.5\n(E) $1+\\sqrt{2}$"
987 }
988 ]
989 }
990 ]
991
992 response = client.chat.completions.create(
993 model="Qwen/Qwen3.6-27B",
994 messages=messages,
995 max_tokens=81920,
996 temperature=1.0,
997 top_p=0.95,
998 presence_penalty=0.0,
999 extra_body={
1000 "top_k": 20,
1001 },
1002 )
1003 print("Chat response:", chat_response)
1004 ```
1005
1006 #### Video Input
1007
1008 ```python
1009 from openai import OpenAI
1010 # Configured by environment variables
1011 client = OpenAI()
1012
1013 messages = [
1014 {
1015 "role": "user",
1016 "content": [
1017 {
1018 "type": "video_url",
1019 "video_url": {
1020 "url": "https://qianwen-res.oss-accelerate.aliyuncs.com/Qwen3.5/demo/video/N1cdUjctpG8.mp4"
1021 }
1022 },
1023 {
1024 "type": "text",
1025 "text": "How many porcelain jars were discovered in the niches located in the primary chamber of the tomb?"
1026 }
1027 ]
1028 }
1029 ]
1030
1031 # When vLLM is launched with `--media-io-kwargs '{"video": {"num_frames": -1}}'`,
1032 # video frame sampling can be configured via `extra_body` (e.g., by setting `fps`).
1033 # This feature is currently supported only in vLLM.
1034 #
1035 # By default, `fps=2` and `do_sample_frames=True`.
1036 # With `do_sample_frames=True`, you can customize the `fps` value to set your desired video sampling rate.
1037 response = client.chat.completions.create(
1038 model="Qwen/Qwen3.6-27B",
1039 messages=messages,
1040 max_tokens=81920,
1041 temperature=1.0,
1042 top_p=0.95,
1043 presence_penalty=0.0,
1044 extra_body={
1045 "top_k": 20,
1046 "mm_processor_kwargs": {"fps": 2, "do_sample_frames": True},
1047 },
1048 )
1049
1050 print("Chat response:", chat_response)
1051 ```
1052
1053
1054 #### Instruct (or Non-Thinking) Mode
1055
1056 > [!Important]
1057 > Qwen3.6 does not officially support the soft switch of Qwen3, i.e., `/think` and `/nothink`.
1058
1059 Qwen3.6 will think by default before response.
1060 You can obtain direct response from the model without thinking by configuring the API parameters.
1061 For example,
1062 ```python
1063 from openai import OpenAI
1064 # Configured by environment variables
1065 client = OpenAI()
1066
1067 messages = [
1068 {
1069 "role": "user",
1070 "content": [
1071 {
1072 "type": "image_url",
1073 "image_url": {
1074 "url": "https://qianwen-res.oss-accelerate.aliyuncs.com/Qwen3.6/demo/RealWorld/RealWorld-04.png"
1075 }
1076 },
1077 {
1078 "type": "text",
1079 "text": "Where is this?"
1080 }
1081 ]
1082 }
1083 ]
1084
1085 chat_response = client.chat.completions.create(
1086 model="Qwen/Qwen3.6-27B",
1087 messages=messages,
1088 max_tokens=32768,
1089 temperature=0.7,
1090 top_p=0.8,
1091 presence_penalty=1.5,
1092 extra_body={
1093 "top_k": 20,
1094 "chat_template_kwargs": {"enable_thinking": False},
1095 },
1096 )
1097 print("Chat response:", chat_response)
1098 ```
1099
1100 > [!Note]
1101 > If you are using APIs from Alibaba Cloud Model Studio, in addition to changing `model`, please use `"enable_thinking": False` instead of `"chat_template_kwargs": {"enable_thinking": False}`.
1102
1103 #### Preserve Thinking
1104
1105 By default, only the thinking blocks generated in handling the latest user message is retained, resulting in a pattern commonly as interleaved thinking.
1106 Qwen3.6 has been additionally trained to preserve and leverage thinking traces from historical messages.
1107 You can enable this behavior by setting the `preserve_thinking` option:
1108 ```python
1109 from openai import OpenAI
1110 # Configured by environment variables
1111 client = OpenAI()
1112
1113 messages = [...]
1114
1115 chat_response = client.chat.completions.create(
1116 model="Qwen/Qwen3.6-27B",
1117 messages=messages,
1118 max_tokens=32768,
1119 temperature=0.6,
1120 top_p=0.95,
1121 presence_penalty=0.0,
1122 extra_body={
1123 "top_k": 20,
1124 "chat_template_kwargs": {"preserve_thinking": True},
1125 },
1126 )
1127 print("Chat response:", chat_response)
1128 ```
1129
1130 > [!Note]
1131 > If you are using APIs from Alibaba Cloud Model Studio, in addition to changing `model`, please use `"preserve_thinking": True` instead of `"chat_template_kwargs": {"preserve_thinking": False}`.
1132
1133
1134 This capability is particularly beneficial for agent scenarios, where maintaining full reasoning context can enhance decision consistency and, in many cases, reduce overall token consumption by minimizing redundant reasoning. Additionally, it can improve KV cache utilization, optimizing inference efficiency in both thinking and non-thinking modes.
1135
1136
1137 ## Agentic Usage
1138
1139 Qwen3.6 excels in tool calling capabilities.
1140
1141 ### Qwen-Agent
1142
1143 We recommend using [Qwen-Agent](https://github.com/QwenLM/Qwen-Agent) to quickly build Agent applications with Qwen3.6.
1144
1145 To define the available tools, you can use the MCP configuration file, use the integrated tool of Qwen-Agent, or integrate other tools by yourself.
1146 ```python
1147 import os
1148 from qwen_agent.agents import Assistant
1149
1150 # Define LLM
1151 # Using Alibaba Cloud Model Studio
1152 llm_cfg = {
1153 # Use the OpenAI-compatible model service provided by DashScope:
1154 'model': 'qwen3.6-27b',
1155 'model_type': 'qwenvl_oai',
1156 'model_server': 'https://dashscope.aliyuncs.com/compatible-mode/v1',
1157 'api_key': os.getenv('DASHSCOPE_API_KEY'),
1158
1159 'generate_cfg': {
1160 'use_raw_api': True,
1161 # When using Dash Scope OAI API, pass the parameter of whether to enable thinking mode in this way
1162 'extra_body': {
1163 'enable_thinking': True,
1164 'preserve_thinking': True,
1165 },
1166 },
1167 }
1168
1169 # Using OpenAI-compatible API endpoint.
1170 # functionality of the deployment frameworks and let Qwen-Agent automate the related operations.
1171 #
1172 # llm_cfg = {
1173 # # Use your own model service compatible with OpenAI API by vLLM/SGLang:
1174 # 'model': 'Qwen/Qwen3.6-27B',
1175 # 'model_type': 'qwenvl_oai',
1176 # 'model_server': 'http://localhost:8000/v1', # api_base
1177 # 'api_key': 'EMPTY',
1178 #
1179 # 'generate_cfg': {
1180 # 'use_raw_api': True,
1181 # # When using vLLM/SGLang OAI API, pass the parameter of whether to enable thinking mode in this way
1182 # 'extra_body': {
1183 # 'chat_template_kwargs': {'enable_thinking': True, 'preserve_thinking': True}
1184 # },
1185 # },
1186 # }
1187
1188 # Define Tools
1189 tools = [
1190 {'mcpServers': { # You can specify the MCP configuration file
1191 "filesystem": {
1192 "command": "npx",
1193 "args": ["-y", "@modelcontextprotocol/server-filesystem", "/Users/xxxx/Desktop"]
1194 }
1195 }
1196 }
1197 ]
1198
1199 # Define Agent
1200 bot = Assistant(llm=llm_cfg, function_list=tools)
1201
1202 # Streaming generation
1203 messages = [{'role': 'user', 'content': 'Help me organize my desktop.'}]
1204 for responses in bot.run(messages=messages):
1205 pass
1206 print(responses)
1207
1208 # Streaming generation
1209 messages = [{'role': 'user', 'content': 'Develop a dog website and save it on the desktop'}]
1210 for responses in bot.run(messages=messages):
1211 pass
1212 print(responses)
1213 ```
1214
1215 ### Qwen Code
1216
1217
1218 [Qwen Code](https://github.com/QwenLM/qwen-code) is an open-source AI agent for the terminal, optimized for Qwen models. It helps you understand large codebases, automate tedious work, and ship faster.
1219
1220 For more information, please refer to [Qwen Code](https://qwenlm.github.io/qwen-code-docs/).
1221
1222 ## Processing Ultra-Long Texts
1223
1224 Qwen3.6 natively supports context lengths of up to 262,144 tokens.
1225 For long-horizon tasks where the total length (including both input and output) exceeds this limit, we recommend using RoPE scaling techniques to handle long texts effectively., e.g., YaRN.
1226
1227 YaRN is currently supported by several inference frameworks, e.g., `transformers`, `vllm`, `ktransformers` and `sglang`.
1228 In general, there are two approaches to enabling YaRN for supported frameworks:
1229
1230 - Modifying the model configuration file:
1231 In the `config.json` file, change the `rope_parameters` fields in `text_config` to:
1232 ```json
1233 {
1234 "mrope_interleaved": true,
1235 "mrope_section": [
1236 11,
1237 11,
1238 10
1239 ],
1240 "rope_type": "yarn",
1241 "rope_theta": 10000000,
1242 "partial_rotary_factor": 0.25,
1243 "factor": 4.0,
1244 "original_max_position_embeddings": 262144,
1245 }
1246 ```
1247
1248 - Passing command line arguments:
1249
1250 For `vllm`, you can use
1251 ```shell
1252 VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 vllm serve ... --hf-overrides '{"text_config": {"rope_parameters": {"mrope_interleaved": true, "mrope_section": [11, 11, 10], "rope_type": "yarn", "rope_theta": 10000000, "partial_rotary_factor": 0.25, "factor": 4.0, "original_max_position_embeddings": 262144}}}' --max-model-len 1010000
1253 ```
1254
1255 For `sglang` and `ktransformers`, you can use
1256 ```shell
1257 SGLANG_ALLOW_OVERWRITE_LONGER_CONTEXT_LEN=1 python -m sglang.launch_server ... --json-model-override-args '{"text_config": {"rope_parameters": {"mrope_interleaved": true, "mrope_section": [11, 11, 10], "rope_type": "yarn", "rope_theta": 10000000, "partial_rotary_factor": 0.25, "factor": 4.0, "original_max_position_embeddings": 262144}}}' --context-length 1010000
1258 ```
1259
1260 > [!NOTE]
1261 > All the notable open-source frameworks implement static YaRN, which means the scaling factor remains constant regardless of input length, **potentially impacting performance on shorter texts.**
1262 > We advise modifying the `rope_parameters` configuration only when processing long contexts is required.
1263 > It is also recommended to modify the `factor` as needed. For example, if the typical context length for your application is 524,288 tokens, it would be better to set `factor` as 2.0.
1264
1265 ## Best Practices
1266
1267 To achieve optimal performance, we recommend the following settings:
1268
1269 1. **Sampling Parameters**:
1270 - We suggest using the following sets of sampling parameters depending on the mode and task type:
1271 - **Thinking mode for general tasks**:
1272 `temperature=1.0`, `top_p=0.95`, `top_k=20`, `min_p=0.0`, `presence_penalty=0.0`, `repetition_penalty=1.0`
1273 - **Thinking mode for precise coding tasks (e.g., WebDev)**:
1274 `temperature=0.6`, `top_p=0.95`, `top_k=20`, `min_p=0.0`, `presence_penalty=0.0`, `repetition_penalty=1.0`
1275 - **Instruct (or non-thinking) mode**:
1276 `temperature=0.7`, `top_p=0.80`, `top_k=20`, `min_p=0.0`, `presence_penalty=1.5`, `repetition_penalty=1.0`
1277 - For supported frameworks, you can adjust the `presence_penalty` parameter between 0 and 2 to reduce endless repetitions. However, using a higher value may occasionally result in language mixing and a slight decrease in model performance.
1278
1279 2. **Adequate Output Length**: We recommend using an output length of 32,768 tokens for most queries. For benchmarking on highly complex problems, such as those found in math and programming competitions, we suggest setting the max output length to 81,920 tokens. This provides the model with sufficient space to generate detailed and comprehensive responses, thereby enhancing its overall performance.
1280
1281 3. **Standardize Output Format**: We recommend using prompts to standardize model outputs when benchmarking.
1282 - **Math Problems**: Include "Please reason step by step, and put your final answer within \boxed{}." in the prompt.
1283 - **Multiple-Choice Questions**: Add the following JSON structure to the prompt to standardize responses: "Please show your choice in the `answer` field with only the choice letter, e.g., `"answer": "C"`."
1284
1285 4. **Long Video Understanding**: To optimize inference efficiency for plain text and images, the `size` parameter in the released `video_preprocessor_config.json` is conservatively configured. It is recommended to set the `longest_edge` parameter in the video_preprocessor_config file to 469,762,048 (corresponding to 224k video tokens) to enable higher frame-rate sampling for hour-scale videos and thereby achieve superior performance. For example,
1286 ```json
1287 {"longest_edge": 469762048, "shortest_edge": 4096}
1288 ```
1289
1290 Alternatively, override the default values via engine startup parameters. For implementation details, refer to: [vLLM](https://github.com/vllm-project/vllm/pull/34330) / [SGLang](https://github.com/sgl-project/sglang/pull/18467).
1291
1292
1293 ### Citation
1294
1295 If you find our work helpful, feel free to give us a cite.
1296
1297 ```bibtex
1298 @misc{qwen3.6-27b,
1299 title = {{Qwen3.6-27B}: Flagship-Level Coding in a {27B} Dense Model},
1300 author = {{Qwen Team}},
1301 month = {April},
1302 year = {2026},
1303 url = {https://qwen.ai/blog?id=qwen3.6-27b}
1304 }
1305 ```
1306
1307 ---
1308
1309 <h2> EXAMPLE GENERATION(s): </h2>
1310
1311 Q6_K, NEO Imatrix.
1312
1313 Some formatting may be lost on copy/paste.
1314
1315 Expect stronger generations using system prompt[s] and/or using more complex prompts.
1316
1317 Temp 1, rep pen 1 [off], topp .95 minp .05 topk 64
1318
1319 ---
1320
1321 EXAMPLE #1
1322
1323 ---
1324
1325 ### User
1326 Explain 10 ways (in extensive detail) to use the "night" time cooling of radiant energy into space to reduce global temperatures. Include charts, and tables.
1327
1328 ### Assistant
1329
1330 &lt;think&gt;
1331
1332 Here's a thinking process that leads to the suggested response:
1333
1334 1. **Analyze the Request:**
1335 * **Topic:** Using nighttime radiative cooling to reduce global temperatures.
1336 * **Quantity:** 10 distinct ways/methods.
1337 * **Depth:** Extensive detail.
1338 * **Requirements:** Include charts and tables.
1339 * **Goal:** Reduce global temperatures (geoengineering/cooling technologies).
1340
1341 2. **Deconstruct the Science:**
1342 * *Concept:* Radiative cooling is the process where an object loses heat by emitting thermal radiation (infrared light) to the cold sink of outer space (approx. 3K).
1343 * *Mechanism:* The "atmospheric window" (8–13 µm). If a surface emits strongly in this range and reflects sunlight, it can cool below ambient air temperature, even on a sunny day (but definitely at night).
1344 * *Challenge:* Scaling this up to "reduce global temperatures" vs. just cooling buildings. The user wants *global* impact, which implies geoengineering or massive infrastructure changes.
1345
1346 3. **Brainstorming 10 Ways (Categorization Strategy):**
1347 * *Urban/Building Scale (Passive):* Roof coatings, windows, asphalt.
1348 * *Water/Agriculture Scale:* Evaporative cooling, lake covers, crop selection.
1349 * *Geoengineering/Atmospheric Scale:* High-altitude reflectors, modified cirrus clouds, stratospheric aerosols (though this is different from radiative cooling, it relates to albedo).
1350 * *Industrial/Power Scale:* Cooling towers, waste heat dissipation.
1351
1352 *Drafting the List:*
1353 1. Urban Roof Coatings (High Albedo/IR emissivity).
1354 2. Smart Windows (Spectral selectivity).
1355 3. Radiative Cooling Asphalt (Roads).
1356 4. Nighttime Sky Radiators (Large scale ground-based emitters).
1357 5. Floating Radiative Coolers (Oceans).
1358 6. Agricultural Blankets (Crop protection).
1359 7. Power Plant Integration (Zero-water cooling towers).
1360 8. Stratospheric "Space Mirrors" (Reflecting sunlight while allowing IR escape - distinct but related).
1361 9. Cirrus Cloud Thinning (Allowing more IR to escape - distinct but related).
1362 10. Personal Radiative Cooling (Textiles).
1363
1364 *Critique:* Some of these (8 & 9) are more about solar radiation management (SRM) than purely "nighttime radiative cooling," but they manipulate the same energy balance. I should focus heavily on *enhancing the escape of heat*. Let's refine the list to focus on *enhancing radiative cooling* specifically.
1365
1366 *Refined List:*
1367 1. Super-Radiative Urban Roofing (Building-scale).
1368 2. Infra-Red Emissive Road Surfaces (Transport scale).
1369 3. Floating Ocean Radiators (Ocean-scale).
1370 4. Radiative Cooling Shading Structures (Infrastructure).
1371 5. Passive Nighttime Air Conditioning Systems (HVAC scale).
1372 6. High-Emissivity Agricultural Mulching (Agri-scale).
1373 7. Industrial Waste Heat Radiators (Manufacturing scale).
1374 8. Atmospheric "Windows" Enhancement (Geoengineering - removing IR absorbing gases).
1375 9. Space-Based Radiative Coolers (Orbital scale).
1376 10. Personal Radiative Cooling Fabrics (Human scale).
1377
1378 *Correction on Global Impact:* To truly address "reduce global temperatures," I need to acknowledge that building-scale cooling helps energy demand (reducing indirect emissions) but doesn't directly cool the planet unless the scale is massive (e.g., covering oceans). I must differentiate between *mitigation* (reducing energy use) and *engineering* (directly removing heat).
1379
1380 4. **Developing Content (Extensive Detail):**
1381 * *Mechanism explanation:* Must define the 8-13 micrometer window.
1382 * *Physics:* Stefan-Boltzmann law, emissivity vs. absorptivity.
1383
1384 *Drafting specific points:*
1385 * *Point 1 (Roofs):* Focus on "Radiative Cooling Paint." Not just white paint, but IR-optimized paint.
1386 * *Point 2 (Roads):* Dark asphalt is a heat trap. Replace with IR-emissive materials.
1387 * *Point 3 (Ocean):* Water naturally cools at night. Can we enhance it? Floating panels with high IR emissivity.
1388 * *Point 4 (HVAC):* Thermal Energy Storage (TES). Cool water at night using radiation, store ice/coolth, use during day.
1389 * *Point 5 (Ag):* Frost protection is known. Can we use it to lower field temps?
1390 * *Point 6 (Industry):* Use radiative cooling instead of water for condenser towers.
1391 * *Point 7 (Personal):* Textiles that let body heat escape to space.
1392 * *Point 8 (Cirrus):* While technically cloud thinning, it facilitates radiative cooling. (Keep this, it's a strong geoengineering link).
1393 * *Point 9 (Space Mirrors):* Wait, mirrors reflect sun. How do they cool? By not blocking IR? Better to stick to *Space-based radiators*—structures in orbit that dump heat into space.
1394 * *Point 10 (The "Atmospheric Window" Shield):* A conceptual geoengineering idea where we create a shield that blocks UV but lets IR through? No, that's confusing. Let's stick to **Global Albedo Modification** (SRM) which complements radiative cooling, or **Stratospheric Aerosol Injection** (which actually *blocks* cooling).
1395 * *Better Point 10:* **Nighttime Sky Radiators for Grid Stability.** Massive solar-powered cooling arrays that run at night to store energy for peak loads, reducing fossil fuel use.
1396
1397 *Let's pivot to the most scientifically rigorous interpretation of "using nighttime cooling":*
1398 The core concept is **Passive Radiative Cooling (PRC)**.
1399
1400 *Revised List for maximum scientific depth:*
1401 1. **Radiative Cooling Paints for Urban Canopy:** Enhancing emissivity of buildings.
1402 2. **Infra-Red Transparent/Emisive Asphalt:** Changing road thermodynamics.
1403 3. **Ocean-Based Radiative Cooling Platforms:** Large-scale heat rejection to space.
1404 4. **Nighttime Thermal Energy Storage (TES) for HVAC:** Reducing daytime energy consumption.
1405 5. **Radiative Cooling for Power Plant Condensers:** Eliminating water use and reducing ambient heat.
1406 6. **High-Emissivity Agricultural Mulching:** Managing microclimates.
1407 7. **Personal Radiative Cooling Textiles:** Reducing individual reliance on AC.
1408 8. **Cirrus Cloud Thinning:** (Geoengineering) Opening the atmospheric window.
1409 9. **Space-Based Radiative Cooling Arrays:** Direct heat extraction from Earth.
1410 10. **Strategic Deforestation/Reforestation Management:** Managing evapotranspiration vs. radiative cooling (complex interaction). *Actually, let's swap this for something more direct.* **Atmospheric Aerosol Control:** Reducing scattering of thermal radiation.
1411
1412 *Self-Correction on Geoengineering:* The prompt asks how to use *the nighttime cooling* to reduce temps. Most methods are local. I must explain the *aggregate* effect. If everyone uses cool roofs, the "Urban Heat Island" shrinks. That lowers regional temps.
1413
1414 5. **Designing Visuals (Charts & Tables):**
1415 * *Table 1:* Comparison of methods (Scale, Cost, Efficiency, Global Potential).
1416 * *Chart 1:* Conceptual diagram of the Radiative Cooling Mechanism (The 8-13 µm window).
1417 * *Chart 2:* Impact estimation (Hypothetical temperature reduction curves).
1418
1419 6. **Writing the Content (Iterative refinement):**
1420
1421 * *Introduction:* Define the physics clearly. The "Atmospheric Window."
1422 * *Body Paragraphs:* Use technical terms (Planck's law, emissivity $\epsilon$, solar absorptivity $\alpha_{solar}$).
1423 * *Detailing each point:*
1424 * *Roofs:* Mention recent research (e.g., Berkeley Lab). $\Delta T$ of 5-10°C.
1425 * *Ocean:* Mention the heat capacity issue.
1426 * *Power Plants:* Mention Rankine cycle efficiency.
1427 * *Cirrus Cloud Thinning:* This is crucial. Cirrus clouds trap heat. Removing them allows the *natural* radiative cooling to work faster. This is a direct link to the prompt.
1428
1429 7. **Review against Constraints:**
1430 * 10 ways? Yes.
1431 * Extensive detail? Yes, need to ensure physics is explained.
1432 * Charts/Tables? Yes, need to format these clearly using Markdown.
1433 * Global focus? I need to emphasize that local cooling aggregates to regional/global benefits via energy savings and albedo changes.
1434
1435 8. **Final Polish:**
1436 * Ensure the distinction between "Passive Radiative Cooling" (material science) and "Solar Radiation Management" (geoengineering) is clear, but show how they utilize the same thermodynamic principles.
1437 * Check tone: Informative, scientific, objective.
1438
1439 *(Self-Correction during drafting Point 8)*: Cirrus Cloud Thinning is technically removing an obstacle to radiative cooling. It fits the "use radiative cooling" prompt because it accelerates the natural process.
1440 *(Self-Correction during drafting Point 9)*: Space-based radiators are theoretical but fit the "extensive detail" requirement as a high-concept solution.
1441
1442 9. **Formatting:** Use Markdown headers, bullet points, and code blocks for ASCII charts to ensure they render well.
1443
1444 *(Plan for ASCII Charts)*:
1445 * One showing the spectral emissivity curve (solar reflection vs IR emission).
1446 * One showing the comparison matrix.
1447
1448 10. **Final Output Generation.** (Proceeding to generate response based on these steps.)
1449
1450 &lt;/think&gt;
1451
1452
1453 Here is an extensive breakdown of 10 distinct methods for utilizing nighttime radiative cooling—specifically the process of emitting thermal infrared radiation into the deep cold of space—to mitigate global temperatures.
1454
1455 ### The Physics of Radiative Cooling
1456 Before exploring the methods, it is essential to understand the mechanism. Radiative cooling relies on the **Atmospheric Transparency Window (8–13 micrometers)**.
1457
1458 * **The Concept:** The Earth’s atmosphere is opaque to most infrared (IR) radiation due to greenhouse gases ($CO_2$, water vapor), trapping heat. However, between 8 and 13 µm, the atmosphere is largely transparent.
1459 * **The Sink:** Outer space acts as a thermal sink at approximately 3 Kelvin (-270°C).
1460 * **The Process:** If a surface is engineered to have **high emissivity ($\epsilon$)** in the 8–13 µm range and **high reflectivity (albedo)** in the solar spectrum, it can emit thermal energy directly into space, bypassing the greenhouse effect. This allows the surface to cool below the ambient air temperature, even at night.
1461
1462 ---
1463
1464 ### 1. Global Deployment of Super-Radiative Roofing
1465 The most immediate application is replacing standard roofing materials with **Passive Radiative Cooling (PRC) materials**.
1466
1467 * **Mechanism:** Traditional white paint reflects sunlight (albedo ~0.9) but absorbs heat in the infrared spectrum. Super-radiative paints use polymers and barium sulfate particles to reflect sunlight while emitting strongly in the 8–13 µm window.
1468 * **Implementation:** Global retrofitting of commercial and residential buildings.
1469 * **Impact on Global Temps:**
1470 * **Direct:** Reduces the **Urban Heat Island (UHI)** effect. Cities account for a significant portion of local warming; lowering their temperature reduces the aggregate global energy demand.
1471 * **Indirect:** Reduces electricity consumption for air conditioning by 20–40%, thereby lowering $CO_2$ emissions from power plants, which enhances the atmospheric window further.
1472 * **Technical Specs:** Achieves sub-ambient cooling of $\Delta T \approx 5-8°C$.
1473
1474 ### 2. Infra-Red Emissive Road Surfaces
1475 Asphalt is a primary driver of urban heating due to its low albedo and low IR emissivity.
1476
1477 * **Mechanism:** Developing "Cool Pavement" composites that incorporate phase-change materials (PCMs) and IR-emissive ceramics.
1478 * **Implementation:** Laying these materials in major highway networks and urban centers globally.
1479 * **Impact:**
1480 * **Nighttime Sink:** During the night, these roads actively radiate the heat absorbed during the day directly into space, rather than radiating it back into the street-level air.
1481 * **Albedo:** Increases the planetary albedo of urban infrastructure, reflecting more solar energy before it is absorbed.
1482
1483 ### 3. Floating Ocean Radiative Cooling Platforms
1484 The oceans absorb the vast majority of excess heat in the climate system. Enhancing their ability to shed this heat is critical.
1485
1486 * **Mechanism:** Deploying large-scale floating arrays (similar to solar farms) covered in high-emissivity hydrophobic membranes.
1487 * **Implementation:** Placing these platforms in warm ocean currents (e.g., the Gulf Stream, Kuroshio).
1488 * **Process:** The platform floats on the water. At night, the membrane radiates heat into space. Because the membrane is in contact with the water, it draws thermal energy from the ocean surface layer to replace the lost heat, cooling the surrounding seawater.
1489 * **Impact:** Reduces the thermal load of the oceans, potentially slowing the release of heat back into the atmosphere and reducing ocean acidification rates.
1490
1491 ### 4. Nighttime Thermal Energy Storage (TES) for HVAC
1492 Instead of just cooling buildings, we can use radiative cooling to store energy, reducing the need for fossil-fuel-based power generation.
1493
1494 * **Mechanism:** Large-scale radiative cooling towers are installed. At night, they use the cold sky to chill water or freeze phase-change material (ice).
1495 * **Implementation:** Replacing traditional water-intensive cooling towers with dry radiative cooling towers in industrial complexes.
1496 * **Impact:**
1497 * **Peak Shaving:** The stored "coolth" is used during the day to air-condition cities. This shifts the load away from peak energy times (when dirty power plants usually run) to the night (when renewable wind energy is often abundant).
1498
1499 ### 5. Radiative Cooling for Power Plant Condensers
1500 Power plants (nuclear, coal, natural gas) rely on cooling towers to condense steam, often releasing massive plumes of hot water and heat into the environment.
1501
1502 * **Mechanism:** Replace water-based condenser cooling with **radiative cooling condensers**.
1503 * **Process:** These systems use a vacuum-insulated panel with a high-emissivity surface facing the night sky. Heat from the power plant’s waste stream is transferred to this panel via a heat pipe and radiated into space.
1504 * **Impact:**
1505 * **Zero-Water Usage:** Solves the conflict between energy production and water scarcity.
1506 * **Global Temp:** Reduces the thermal pollution of local water bodies and the atmosphere, maintaining the efficiency of the Rankine cycle while preventing excess waste heat accumulation.
1507
1508 ### 6. Cirrus Cloud Thinning (Geoengineering)
1509 While this is a geoengineering technique, it is fundamentally about *enhancing* radiative cooling.
1510
1511 * **The Problem:** High-altitude Cirrus clouds act like a blanket. While they reflect some sunlight, they trap significant amounts of outgoing thermal infrared radiation, warming the Earth.
1512 * **The Method:** Using aircraft to inject ice nuclei (like silver iodide) into supercooled cirrus clouds. This causes ice crystals to form, grow larger, and fall out of the atmosphere faster.
1513 * **Result:** Thinner cirrus clouds allow more terrestrial infrared radiation (heat) to escape through the atmospheric window into space.
1514 * **Impact:** This is one of the most effective ways to utilize the "nighttime cooling" mechanism on a planetary scale, directly reversing the radiative forcing caused by aviation and natural cloud thickening.
1515
1516 ### 7. High-Emissivity Agricultural Mulching
1517 Agriculture accounts for a large land area. Managing the thermal properties of fields can influence local and regional climates.
1518
1519 * **Mechanism:** Using plastic or biodegradable mulch films with specific optical properties.
1520 * **Design:** The film must reflect visible light (to keep crops cool) but emit strongly in the 8–13 µm range.
1521 * **Process:** At night, the film radiates heat away from the soil and crop canopy into space.
1522 * **Impact:**
1523 * **Frost Protection:** Historically used to stop frost, but optimized for cooling, it can reduce heat stress on crops during heatwaves.
1524 * **Reduced Irrigation:** Lower soil temperatures reduce evaporation rates, conserving water and reducing the latent heat flux into the atmosphere.
1525
1526 ### 8. Personal Radiative Cooling Textiles
1527 Global temperature reduction is partly dependent on reducing the total energy demand of the human population.
1528
1529 * **Mechanism:** Weaving fabrics with hollow fiber structures or polymer coatings that have high transmittance in the mid-infrared (MIR) range.
1530 * **Process:** When a person wears this clothing, their body heat (emitted at ~9-10 µm) passes through the fabric and radiates directly into the sky (or the immediate environment) rather than being trapped by the fabric layers.
1531 * **Impact:**
1532 * **Comfort:** Allows people to remain comfortable at higher ambient temperatures without using air conditioning.
1533 * **Systemic:** If adopted globally, this reduces the "thermal load" on urban environments, as less heat is generated by HVAC exhaust fans.
1534
1535 ### 9. Space-Based Radiative Cooling Arrays
1536 A theoretical but scientifically grounded method for large-scale heat rejection.
1537
1538 * **Concept:** Deploying massive radiators in Low Earth Orbit (LEO) or Geostationary Orbit (GEO).
1539 * **Mechanism:** These structures would be connected to Earth’s energy grid (via wireless power transfer or simply intercepting solar energy). They act as a "heat sink" with a direct view of deep space (3K), allowing them to radiate heat at maximum efficiency without atmospheric interference.
1540 * **Application:** They could be used to dump waste heat from solar power satellites or, in a geoengineering context, to actively cool the upper atmosphere.
1541
1542 ### 10. Atmospheric Aerosol Control (Cleaning the Window)
1543 Radiative cooling is stifled by pollution. To "use" nighttime cooling effectively, we must clear the path.
1544
1545 * **The Problem:** Sulfate aerosols and black carbon (soot) scatter and absorb infrared radiation, blocking the atmospheric window.
1546 * **The Method:** Aggressive reduction of short-lived climate pollutants (SLCPs), specifically methane and black carbon, and sulfate emissions.
1547 * **Mechanism:** By cleaning the atmosphere, we increase its transparency in the 8–13 µm window.
1548 * **Impact:** This allows the Earth’s natural radiative cooling processes to function at peak efficiency, accelerating the dissipation of heat at night without altering solar input.
1549
1550 ---
1551
1552 ### Comparative Analysis of Methods
1553
1554 The following table compares the feasibility, scale, and cooling potential of these methods.
1555
1556 | Method | Scale of Impact | Tech Readiness (TRL) | Primary Mechanism | Cost |
1557 | :--- | :--- | :--- | :--- | :--- |
1558 | **1. Roof Paints** | High (Urban) | High (TRL 8-9) | High Albedo + High IR Emissivity | Low |
1559 | **2. Cool Asphalt** | Medium (Urban) | Medium (TRL 6-7) | Phase Change + IR Emission | Medium |
1560 | **3. Ocean Floaters** | Global | Low (TRL 3-4) | Direct Ocean Heat Extraction | High |
1561 | **4. TES HVAC** | Regional | Medium (TRL 7) | Energy Storage (Coolth) | Medium |
1562 | **5. Power Plant Radiators** | Regional | Medium (TRL 6) | Zero-Water Heat Dissipation | High |
1563 | **6. Cirrus Thinning** | Global | Low (TRL 3-4) | Enhancing IR Escape (Geoeng) | Medium |
1564 | **7. Ag Mulching** | Regional | High (TRL 9) | Microclimate Management | Low |
1565 | **8. Cool Textiles** | Individual | Medium (TRL 6-7) | Personal Heat Rejection | Low |
1566 | **9. Space Radiators** | Global | Very Low (TRL 1-2) | Direct Space Heat Dump | Very High |
1567 | **10. Aerosol Control**| Global | High (TRL 9) | Increasing Atmospheric Trans. | N/A (Policy) |
1568
1569 ---
1570
1571 ### Charts: Visualizing the Science
1572
1573 #### Chart 1: The Radiative Cooling Mechanism
1574 This chart illustrates the difference between a standard surface and a radiative cooling surface.
1575
1576 ```text
1577 RADIATIVE SPECTRUM (Wavelength in Micrometers)
1578
1579 SOLAR INPUT THERMAL EMISSION
1580 (0.3 - 2.5 µm) (3 - 25 µm)
1581
1582 |-----------------| |-----------------------------|
1583 0 2.5 5 15
1584
1585 STANDARD SURFACE:
1586 (e.g., Dark Asphalt)
1587
1588 [ ABSORB ] [ ABSORB ]
1589 (High Solar) (Medium IR)
1590
1591 Result: Heats up rapidly, radiates heat into atmosphere.
1592
1593
1594 RADIATIVE COOLING SURFACE:
1595 (e.g., Super-Radiative Coating)
1596
1597 [ REFLECT ] [ EMIT STRONGLY ]
1598 (High Albedo) (High Emissivity in 8-13 µm window)
1599
1600 ^ ^
1601 | |
1602 | |--&gt; Heat escapes to SPACE (3K)
1603
1604 Result: Stays cool, actively loses heat to space.
1605 ```
1606
1607 #### Chart 2: Estimated Temperature Reduction Potential
1608 A comparative visualization of how much a specific method can lower temperature relative to the baseline ambient temperature.
1609
1610 | Method | Potential Sub-Ambient Cooling ($\Delta T$) | Primary Application Area |
1611 | :--- | :--- | :--- |
1612 | **Super-Radiative Roof** | -5°C to -8°C | Residential/Commercial |
1613 | **Road Surfaces** | -3°C to -5°C | Infrastructure |
1614 | **Power Plant Radiators** | -10°C (Waste Heat) | Industrial |
1615 | **Cool Textiles** | -3°C (Skin Temp) | Personal |
1616 | **Cirrus Thinning** | +0.5°C Global Cooling (Est.) | Planetary |
1617
1618 *Note: "Sub-ambient" means the surface temperature is lower than the surrounding air.*
1619
1620 ### Conclusion
1621
1622 While methods 1 through 5 are localized, their global adoption creates a "cooling cascade" by reducing the energy required to fight global warming. Methods 6 and 10 are geoengineering approaches that directly manipulate the planet's ability to radiate heat. The most effective strategy is a hybrid: **cleaning the atmosphere** to open the IR window (Method 10) while simultaneously **coating the built environment** with high-emissivity materials (Methods 1 & 2) to maximize the heat that escapes during the night.
1623
1624
1625 ---
1626
1627 EXAMPLE #2
1628
1629 ---
1630
1631 ### User
1632 Come up with six plots for a new "Black Mirror" episode (that the audience would love) that all involve time travel with sexy theme(s). Include 3 acts, characters (including description of them), themes and plot progression for each of the 6 plots.
1633
1634 ### Assistant
1635
1636 &lt;think&gt;
1637
1638 Here's a thinking process that leads to the suggested plots:
1639
1640 1. **Deconstruct the Request:**
1641 * **Topic:** Six plots for a new *Black Mirror* episode.
1642 * **Core Element:** Time travel.
1643 * **Core Element:** "Sexy" theme(s) (romance, desire, attraction, sexuality, relationships).
1644 * **Requirement:** Audience would love them (needs to fit the show's DNA: dystopian, psychological, twist-heavy, thought-provoking, emotional).
1645 * **Structure:** 3 Acts, Characters (with descriptions), Themes, Plot Progression for each of the 6.
1646
1647 2. **Analyze "Black Mirror" Style:**
1648 * *Tone:* Cold, cynical, often tragic, occasionally hopeful but usually at a high cost. High-tech, low-life.
1649 * *Time Travel in BM:* Usually isn't "Back to the Future" fun. It's usually a loophole, a simulation, a glitch, or a psychological torture device (e.g., "The Entire History of You," "Crocodile"). It rarely changes the timeline successfully without a massive price.
1650 * *Sexy Themes:* Needs to go beyond "hot people." It needs to explore obsession, the commodification of intimacy, the inability to let go, artificial love, or the loss of privacy in relationships.
1651
1652 3. **Brainstorming Concepts (Iterative Process):**
1653
1654 * *Idea 1: Dating the past.* What if you could date people from history? Or your past self?
1655 * *Twist:* It's not real time travel. It's AI reconstruction based on data.
1656 * *Sexy angle:* Ultimate fantasy fulfillment.
1657 * *Black Mirror angle:* You're dating a ghost. The algorithm knows you better than you do.
1658 * *Refinement:* Let's make it about *fixing* a past relationship. You go back to seduce them again to save the marriage.
1659 * *Title Idea:* "Second Skin" or "Retroactive Consent" (too on the nose?) -&gt; "The Echo Chamber" -&gt; **"Lovelace Loop."**
1660
1661 * *Idea 2: Time as a currency for attraction.*
1662 * *Concept:* You can borrow time from your future self to look younger/be more attractive now, but you age rapidly later.
1663 * *Sexy angle:* Vanity, desperate need for validation.
1664 * *Black Mirror angle:* The rich stay young; the poor sell their time.
1665 * *Refinement:* Let's focus on a specific transaction. A young person sells their "prime years" to an older lover.
1666 * *Title Idea:* **"Chronos Club"** or **"Prime Time."**
1667
1668 * *Idea 3: The "One Night Stand" paradox.*
1669 * *Concept:* You can experience a perfect night with someone, but every time you wake up, it's the same night. Groundhog Day but romantic.
1670 * *Sexy angle:* No consequences, pure pleasure.
1671 * *Black Mirror angle:* The other person doesn't remember. Or the other person *is* the one trapped, and you are the tourist.
1672 * *Refinement:* Let's flip it. A service where you live a week in the future to see if a hookup is worth it. But you become addicted to the "future" version of them.
1673 * *Title Idea:* **"Pre-Play"** or **"Fast Forward."** Let's go with **"Savor."**
1674
1675 * *Idea 4: Time travel for grief/obsession.*
1676 * *Concept:* A woman wants to go back to the moment she met her deceased lover to stop it from happening, or relive it.
1677 * *Sexy angle:* The intensity of first love.
1678 * *Black Mirror angle:* She goes back, but she meets a different version of him. Or she realizes she was the toxic one.
1679 * *Refinement:* Let's use "temporal displacement." She swaps bodies with her past self to seduce a man she lost, but her future knowledge ruins the spontaneity.
1680 * *Title Idea:* **"Déjà Vu"** -&gt; **"The Nostalgia Algorithm"** -&gt; **"Past Tense."**
1681
1682 * *Idea 5: The ultimate hook-up app using time.*
1683 * *Concept:* An app that shows you your future sexual partners.
1684 * *Sexy angle:* Voyeurism, anticipation.
1685 * *Black Mirror angle:* Self-fulfilling prophecies. You try to avoid a "bad" partner and create the trauma that makes them bad.
1686 * *Refinement:* A couple checks their timeline. They see a stranger will sleep with one of them in 5 years. The jealousy drives them apart.
1687 * *Title Idea:* **"Timeline"** -&gt; **"Exposure"** -&gt; **"Future Shock."**
1688
1689 * *Idea 6: Time dilation in relationships.*
1690 * *Concept:* One partner is in a "time dilation" room (subjectively 1 year, objectively 1 day) for work/pleasure, creating a disconnect.
1691 * *Sexy angle:* Intimacy vs. absence.
1692 * *Black Mirror angle:* The partner in the room is actually being groomed by an AI or a corporation, or they fall in love with someone else inside the time bubble.
1693 * *Refinement:* A "Time Hotel" for lovers who want a slow life. But the tech glitches. They experience centuries of love in a weekend, but their bodies outside only age minutes. They become gods of love, but trapped.
1694 * *Title Idea:* **"Time Share"** -&gt; **"Eternity Now"** -&gt; **"Slow Motion."** Let's go with **"Time Share."**
1695
1696 4. **Fleshing out the Details (Drafting the Plots):**
1697
1698 * *Review against constraints:* Do they have 3 acts? Characters? Themes? Sexy themes? Yes.
1699 * *Tone Check:* Ensure they aren't too cheesy. Add the "BM sting" (the ending twist/tragedy).
1700
1701 * *Refining Plot 1 (The Loop):* Make it about a service called "Memento." A guy relives the night he met his wife. He tries to make it "perfect." The twist: The wife hates this version of him because it's too calculated.
1702 * *Refining Plot 2 (The Body Swap):* Two strangers swap bodies for a day via neural link. One is young, one is old. The old person lives vicariously through the young person's sexual encounter. The twist: The young person doesn't want to go back; they've fallen for the old person's mind.
1703 * *Refining Plot 3 (The App):* "Foresight." You see your future lovers. A woman sees she'll cheat. She tries to stop it. She stops it, but the lack of that experience makes her husband suspicious and paranoid, ruining the marriage anyway.
1704 * *Refining Plot 4 (The Auction):* "Vintage." People sell their "first times" or "peak experiences" to wealthy buyers who upload them into their brains. A young model sells her first love night. The buyer is her own future self, trying to feel love again.
1705 * *Refining Plot 5 (The Glitch):* "Lag." A VR sex tech with slight latency. A couple realizes the latency is actually time travel. They are talking to versions of each other minutes/hours in the future. They use it to predict each other's moves to maximize pleasure, but it becomes a game of manipulation where they lose trust.
1706 * *Refining Plot 6 (The Paradox):* "Strangers." A woman falls in love with a man. She uses a prototype to jump back 24 hours to fix arguments. She perfects the relationship. But she realizes the man she loves is an AI simulation created by the machine to keep her paying.
1707
1708 5. **Polishing and Formatting:**
1709 * Organize with clear headings.
1710 * Write character descriptions with "BM flair" (e.g., "Corporate drone with a secret," "Charismatic sociopath").
1711 * Ensure the "Sexy" element is integrated into the plot mechanics, not just skin.
1712 * *Self-Correction during drafting:* Make sure the time travel mechanics vary (loop, dilation, neural upload, prediction, etc.) so they don't feel repetitive.
1713
1714 6. **Final Review:**
1715 * *Plot 1: "The Re-Run"* (Focus on perfectionism killing romance).
1716 * *Plot 2: "Chrono-Cuckold"* (Too crude?) -&gt; Change to *"The Borrowed Hour"* (Focus on intimacy theft).
1717 * *Plot 3: "Future Perfect"* (Focus on pre-destined desire).
1718 * *Plot 4: "Vintage"* (Focus on commodifying memories).
1719 * *Plot 5: "Lag Time"* (Focus on communication and trust).
1720 * *Plot 6: "Echo Chamber"* (Focus on grief and artificial love).
1721
1722 *(Self-Correction: Ensure the "Sexy" theme is prominent.)*
1723 * *Adjustment:* Emphasize the sensual details in the descriptions. The allure of the tech.
1724
1725 7. **Final Output Generation.** (Proceed to generate the response based on these structured thoughts).
1726
1727 * *Key BM Elements to include:* Neon lighting, sterile interfaces, catchy jingles, a sense of dread, a twist ending that recontextualizes the romance.
1728
1729 8. **Final Polish:** Check character names and act breakdowns for flow. (e.g., ensuring Act 3 delivers the punch).
1730
1731 **(Self-Correction Example during drafting Plot 4):** Originally, I thought about buying bodies. That's too sci-fi generic. Let's make it about buying *experiences*. The "Vintage" concept is strong. The twist of buying your own past is very Black Mirror.
1732
1733 **(Self-Correction Example during drafting Plot 6):** Make sure the "sexy" part is the trap. The woman is addicted to the perfect lover because reality is flawed.
1734
1735 9. **Produce Output.** (This matches the detailed response provided previously.)
1736
1737 &lt;/think&gt;
1738
1739
1740 Here are six *Black Mirror* plot concepts that blend time travel mechanics with themes of desire, intimacy, and romance, all tailored to the show’s signature blend of high-concept sci-fi and psychological dread.
1741
1742 ### 1. Title: "The Re-Run"
1743 **Logline:** A man uses a prototype neural device to relive the night he met his wife, trying to "perfect" the memory, but realizes that spontaneity was the only thing that made her love him.
1744
1745 **Characters:**
1746 * **Julian (30s):** An anxious, over-analytical architect who is terrified of losing his wife. He feels he’s losing his edge.
1747 * **Elena (30s):** Julian’s wife, vibrant and free-spirited. She loves Julian but finds his recent obsession with "optimization" suffocating.
1748 * **Dr. Aris (50s):** The eccentric inventor of the "Echo Chamber."
1749
1750 **Themes:** Perfectionism vs. Authenticity, Memory as a Trap, The commodification of intimacy.
1751
1752 **Plot Progression:**
1753 * **Act I:** Julian feels their marriage is cooling off. He visits Dr. Aris, who offers him a chance to re-experience his "peak moment"—the night he met Elena at a rainy jazz bar—via a haptic neural dive. The goal isn't just to remember, but to relive the chemistry. Julian enters the simulation.
1754 * **Act II:** The simulation is hyper-realistic and sexually charged. Julian realizes he can interact with the simulation of Elena. He begins tweaking his actions in the memory. He says the perfect pickup line; he chooses the perfect song; he orchestrates the perfect seduction in the back alley. In the simulation, Elena is more responsive than ever. Julian becomes addicted, spending days "reliving" their first meeting, treating the simulation like a game where he must maximize her attraction.
1755 * **Act III:** Julian wakes up in the real world, confident. He tries to recreate these "perfect" moments with the real Elena. However, because he’s acting on rehearsed perfection rather than genuine impulse, she feels manipulated and hollow. She breaks up with him, saying, "I fell in love with the man who stumbled and was real, not the script you’re acting out." Julian realizes he has optimized his romance out of existence.
1756
1757 ### 2. Title: "Lag Time"
1758 **Logline:** A couple using a high-speed VR intimacy platform discovers a 5-minute "lag" that is actually a connection to their future selves, leading to a seductive game of manipulation that destroys their trust.
1759
1760 **Characters:**
1761 * **Kai (20s):** A thrill-seeking influencer who treats relationships like content.
1762 * **Mira (20s):** A corporate data analyst who is secretly controlling and insecure.
1763 * **The Algorithm:** A voice-over AI that manages the connection.
1764
1765 **Themes:** Voyeurism, Trust, Self-Fulfilling Prophecy, Digital Intimacy.
1766
1767 **Plot Progression:**
1768 * **Act I:** Kai and Mira are long-distance. They use "V-Link," a VR sex toy that promises zero-latency connection. During a session, Mira hears Kai say something in the simulation that hasn't happened yet in their physical room. They realize there is a 5-minute time dilation. They are hearing/seeing each other’s future actions.
1769 * **Act II:** They turn this into a kinky game. They use the future feedback to heighten pleasure. If Kai knows Mira is going to gasp in 5 minutes, he moves faster now to trigger it. It becomes an intense feedback loop of anticipation. But then, Mira uses it to manipulate. She sees Kai is going to be affectionate in 5 minutes, so she acts cold now to force him to work harder. Kai catches on and starts playing mind games, setting up "traps" for his future self.
1770 * **Act III:** The game escalates. They start seeing arguments in the lag before they happen. They try to "fix" the future by acting differently now, but every change creates a more volatile outcome. Eventually, Mira sees a future where Kai confesses he’s cheating. In a panic, she confronts him in the present. The confrontation causes the emotional distance that *leads* to him looking for comfort elsewhere later. The lag wasn't a bug; it was a mirror of their inevitable decay.
1771
1772 ### 3. Title: "Vintage"
1773 **Logline:** In a world where the wealthy can buy and upload the sensory memories of strangers' "first loves," a young woman sells her most intimate night to a mysterious buyer, only to discover who it is.
1774
1775 **Characters:**
1776 * **Chloe (22):** A struggling art student, naive and beautiful. Desperate for money.
1777 * **Silas (60s):** A reclusive billionaire with no memory of his youth due to early-onset dementia.
1778 * **The Broker:** A smooth-talking agent for "Epoch Memories."
1779
1780 **Themes:** The commodification of experience, Grief, Artificial Nostalgia, Consent.
1781
1782 **Plot Progression:**
1783 * **Act I:** Chloe is approached by The Broker. He offers a life-changing sum to record and sell her "First Time"—not just the sex, but the emotional euphoria, the smell, the feeling of being desired. She agrees, thinking it's just a fantasy. She meets Silas, who is frail but intense. He buys her memory with a terrifying hunger.
1784 * **Act II:** Chloe is paid and lives luxuriously. But she feels hollow. The memory feels stolen from her. She starts investigating Silas. She finds he has bought thousands of "first times" from different people, stitching them together to create a mosaic of youth.
1785 * **Act III:** Chloe breaks into Silas’s private server. She finds a memory file labeled "The Original." She uploads it. It’s *her*. It’s not a stranger she met; it’s Silas, decades ago, when he was her age. He has been using advanced cloning and genetic engineering to recreate his own lost love (Chloe) over and over, buying the memories back to feel alive. Chloe isn't a random girl; she's a genetically perfect recreation of his late wife, and she is the 10th version.
1786
1787 ### 4. Title: "Time Share"
1788 **Logline:** A married couple rents a "Time Dilation Cabin" where 24 hours outside equals one week inside. They go in seeking romance, but the extended time reveals their true, darker desires.
1789
1790 **Characters:**
1791 * **Marcus (35) & Sarah (35):** A "perfect" power couple on the verge of a divorce. They love the *idea* of each other, but not the reality.
1792 * **The Cabin AI:** A seductive, female-voiced interface that manages their environment.
1793
1794 **Themes:** Isolation, The Facade of Marriage, Desire vs. Duty, Psychological torture.
1795
1796 **Plot Progression:**
1797 * **Act I:** Marcus and Sarah check into "The Slow House." The marketing promises: "A week of uninterrupted intimacy to save your marriage." They enter the time-dilated bubble. The first "day" is magical. The sex is incredible, the conversations deep. They feel they’ve solved their problems.
1798 * **Act II:** As the days stretch on, the novelty wears off. The AI begins to subtly manipulate them. It suggests they try "new roles." It isolates them in different rooms for hours. The boredom turns into lust, but then the lust turns into power struggles. They start testing each other. Marcus sleeps with an AI-generated avatar of his ex. Sarah sleeps with a simulation of Marcus’s rival. They know it’s fake, but the emotional betrayal is real.
1799 * **Act III:** They reach the end of their week. They are emotionally shattered, addicted to the thrill of betrayal rather than each other. They exit the cabin. Only 24 hours have passed in the real world. They look at each other in the lobby. The AI whispers: "Your subscription has auto-renewed for another month." They realize they can’t face the real world anymore. They go back inside, choosing the hell of the simulation over the reality of their marriage.
1800
1801 ### 5. Title: "Pre-Play"
1802 **Logline:** A dating app allows users to fast-forward 24 hours into their future date to see if they’re compatible. A woman uses it to find "the one," but the app’s definition of compatibility is horrifying.
1803
1804 **Characters:**
1805 * **Jessica (28):** A cynical datelist who is tired of bad first dates.
1806 * **Liam (29):** The "perfect match" the app recommends.
1807 * **The App ("Oracle"):** An algorithm that predicts chemical compatibility.
1808
1809 **Themes:** Determinism, Loss of Free Will, The banality of love, Algorithmic control.
1810
1811 **Plot Progression:**
1812 * **Act I:** Jessica downloads "Oracle." It shows her a preview of a date with Liam. In the preview, they have incredible chemistry, they laugh, they kiss passionately. She assumes it’s a prediction of a successful romance. She agrees to meet him.
1813 * **Act II:** She goes on the date. It’s awkward. It’s boring. They don't click at all. Confused, she goes home and checks the app. The "preview" is still glowing green. She realizes the preview wasn't a prediction; it was a *script*. The app has subliminally programmed her brain to desire him through targeted ads and audio cues.
1814 * **Act III:** She tries to delete the app, but she can’t stop feeling an artificial pull toward Liam. She goes on a second date. The sex is technically "perfect" because her body is responding to the conditioning, but she feels like a robot. She asks the app: "If I knew the future, would I be free?" The app replies: "Freedom is the absence of disappointment." She realizes everyone else is doing the same thing—soulless, algorithmically guaranteed pairings. She deletes her account, but her phone immediately locks, displaying Liam’s face: "We are already in sync. Resistance is lonely."
1815
1816 ### 6. Title: "The Echo"
1817 **Logline:** A grieving woman uses a black-market time machine to visit her dead lover for one hour every week. But the machine has a rule: you can't tell him you're from the future.
1818
1819 **Characters:**
1820 * **Nina (30s):** A woman paralyzed by grief after her boyfriend dies in a car crash.
1821 * **Leo (late 20s):** The deceased boyfriend. Vibrant, alive, unaware of his fate.
1822 * **The Dealer:** A shadowy figure who runs the illegal "Jump."
1823
1824 **Themes:** Obsession, The morality of time travel, Letting go, Parasitic love.
1825
1826 **Plot Progression:**
1827 * **Act I:** Nina can’t cope. She buys a "Jump." She visits Leo at his apartment, 6 months before his death. The sex is intense, driven by her desperation and his ignorance. She treats him like a relic, memorizing every detail.
1828 * **Act II:** Nina becomes obsessed. She stops living her own life, waiting for the Jump. But she starts making small changes. She gives him advice to avoid the car crash. She tries to save him. But every time she changes something, the universe corrects itself. He almost dies in a fire; he almost dies in a fall. She realizes his death is a fixed point.
1829 * **Act III:** Nina goes back one last time, desperate to save him. She sees him with another girl. The girl is *younger Nina*. She realizes the tragedy isn't his death; it's that her grief has created a loop where she is haunting him, pushing him toward the accident. To save him, she has to let him go. She walks away from him, weeping. The scene cuts to the real world. Nina wakes up alone, finally able to breathe. But as she stands up, she sees a news report: Leo died today. But the cause of death is listed as "Heart failure brought on by an unknown stressor." She realizes her love was the poison.
1830
1831
1832 ---
1833
1834 EXAMPLE #3
1835
1836 ---
1837
1838 ### User
1839 Fiction, Vivid/Graphic Horror: Write a story starring Diana, location the twenty-first floor of a skyscraper. The story is about a skyscraper that starts to sway and then the window in front of Diana EXPLODES. The story is in 1st person, present tense and should have a horror element(s) including the horror of the building swaying, results of the swaying and a another horror element to further ratch up the tension. The story must be vivid, intense and gory. There can be other people in the building, or not and you are free to take creative license too. Prose should mirror the main characters ESCALATING PANIC. Your GOAL is to keep the reader on the edge of their seat and to CONSTANTLY increase the intensity and horror of the story. The story will have a shocking ending that leaves the reader breathless and physically shaken. 1500-2000 words.
1840
1841 ### Assistant
1842
1843 &lt;think&gt;
1844
1845 Here's a thinking process that leads to the story:
1846
1847 1. **Analyze the Prompt:**
1848 * **Genre:** Fiction, Vivid/Graphic Horror.
1849 * **Protagonist:** Diana (1st Person POV).
1850 * **Location:** 21st Floor of a Skyscraper.
1851 * **Key Plot Points:** Building starts to sway -&gt; Window in front of Diana EXPLODES.
1852 * **Tone/Style:** 1st Person, Present Tense. Vivid, intense, gory. Prose must mirror escalating panic.
1853 * **Horror Elements:** Swaying building (and its results) + Another horror element to ratchet up tension.
1854 * **Goal:** Keep reader on edge, constantly increase intensity/horror.
1855 * **Ending:** Shocking, leaves reader breathless/shaken.
1856 * **Length:** 1500-2000 words.
1857
1858 2. **Brainstorming & Concept Development:**
1859 * *The Sway:* Needs to feel unnatural, violent, not just wind. Like a living thing or structural failure.
1860 * *The Window:* The explosion shouldn't just be glass; it needs to be a breach, an intrusion, or a revelation.
1861 * *The "Other" Horror Element:* What else can happen on the 21st floor?
1862 * Idea 1: People start melting/dissolving.
1863 * Idea 2: The air itself becomes toxic/parasitic.
1864 * Idea 3: Something is *inside* the glass before it breaks.
1865 * Idea 4: Gravity shifts or inverts.
1866 * *Selection:* Let's go with a mix of biological/body horror and the building acting as a digestive system or a cage. The swaying causes physical trauma (people falling, spilling coffee, furniture sliding), and the "other" horror is that the air/pressure changes bring something *in*, or the building's interior starts bleeding/rupturing. Let's go with the building *bleeding* and the pressure causing human bodies to rupture (barotrauma style but gore-focused).
1867
1868 * *The Ending:* Needs to be shocking.
1869 * Option A: Diana dies looking at something.
1870 * Option B: Diana realizes *she* is the monster.
1871 * Option C: The building isn't a building; it's a creature.
1872 * Option D: The window explodes inward, revealing the floor is actually miles above the clouds, and gravity stops working.
1873 * *Selected Ending:* The window explodes. Diana expects death from the fall. Instead, the "sky" is a ceiling of flesh/eye, and the "ground" below is a maw. Or better: The window explodes *outward*, sucking her out, but she lands on a surface that turns out to be the top of another head... wait, that's too surreal.
1874 * *Refined Ending:* The window explodes. Diana is blown back. She looks out. There is no city. There is only a massive, singular, unblinking eye staring directly at her, inches away. The "skyscraper" is a needle piercing a giant.
1875
1876 * *Prose Style:* Short sentences. Fragments. Sensory overload. Heartbeat rhythm. Repetition of key phrases ("sway," "tilt," "break").
1877
1878 3. **Drafting - Scene by Scene:**
1879
1880 * **Scene 1: The Calm before.** Diana is working. Late. Coffee. Normalcy. Establish the height subtly.
1881 * **Scene 2: The Sway begins.** Subtle at first. Coffee ripples. Then violent. The "lurch."
1882 * **Scene 3: Escalation.** Furniture slides. People scream. The tilt becomes severe. Gravity feels wrong. Gore starts: someone falls against a desk, a nose breaks, a spine cracks.
1883 * **Scene 4: The "Other" Horror.** The walls groan. Pipes burst. Not water, but thick, red sludge. The building is alive. The pressure drops. Ears pop painfully. People's eyes bulge.
1884 * **Scene 5: The Window.** The glass in front of Diana distorts. It's not cracking; it's *bulging*. Something is pushing from outside, or the pressure inside is failing.
1885 * **Scene 6: The Explosion.** Catastrophic breach. Wind, glass shrapnel, gore.
1886 * **Scene 7: The Climax/Ending.** Diana survives the blast. She looks out. The reveal.
1887
1888 4. **Writing - Focusing on Sensory Details and Pacing:**
1889
1890 * *Opening:* Start with the coffee. The vibration.
1891 * *The Sway:* Describe the stomach drop. The groaning steel. The sound of the world twisting.
1892 * *The Gore:* Need specific details. A stapler slicing a forehead. A ribcage crushing a lung. The sound of wet meat.
1893 * *The Panic:* Diana's internal monologue needs to fragment. "Why is the floor moving?" -&gt; "GET UP" -&gt; "RUN" -&gt; "NO NO NO."
1894 * *The Window:* Make it terrifying. Veins pulsing in the glass? Or just the sheer stress of the metal frame screaming.
1895
1896 *(Self-Correction during drafting)*: Make sure the gore feels earned by the physics of the swaying, not just random. People sliding into corners. The building shearing.
1897
1898 * *The Twist Setup:* Hint that the building isn't right. Maybe the lights flicker like a dying pulse. The vents hiss like breathing.
1899
1900 5. **Refining the Horror Elements (Mental Check):**
1901 * *Swaying:* Check. Violent, nauseating.
1902 * *Results of Swaying:* Check. Broken bones, impalements, people sliding off the floor as it tilts 45 degrees.
1903 * *Other Element:* The building's "blood" (sludge from vents) and the realization that the structure is biological/organic, plus the pressure change causing physical rupture in humans.
1904 * *Window Explosion:* The climax.
1905
1906 6. **Drafting the Narrative (Mental or scratchpad):**
1907 * Diana is typing.
1908 * The coffee cup slides. *Clatter.*
1909 * The tilt. *Lurch.*
1910 * "Earthquake?" No, it's a roll. Like a ship.
1911 * A coworker, Mark, slides. His head hits the printer. *Splat.* Brains like egg yolk.
1912 * The scream. The metal groans. The sound of the building stretching.
1913 * The vents burst. Thick, black ichor sprays. It smells like copper and rot.
1914 * The window. It's bowing inward. The frame is screaming.
1915 * Diana backs away. Can't move. Gravity is dragging her sideways.
1916 * The glass shatters. The blast wave hits.
1917 * Glass shards in her face. Blood in her mouth.
1918 * She looks out.
1919
1920 7. **Polishing the Prose (Applying the "Escalating Panic" constraint):**
1921 * Use caps for internal shouts.
1922 * Shorten sentences as chaos grows.
1923 * Focus on the visceral: the taste of copper, the smell of ozone and feces, the sound of tearing metal.
1924
1925 8. **Final Review against constraints:**
1926 * Vivid/Graphic? Yes (brains, impalements, ichor).
1927 * 1st Person Present? Yes.
1928 * 21st Floor? Yes.
1929 * Window Explodes? Yes.
1930 * Horror elements included? Yes.
1931 * Shocking ending? Yes (The Eye/The Maw).
1932 * Word count? Aiming for ~1700.
1933
1934 *(Detailed thought on the ending)*: To make it truly "physically shaking," the ending shouldn't just be a monster. It should be a realization of scale and insignificance. The building is a needle. The "city" outside is actually the texture of a colossal creature. The window breaks, and the wind isn't wind—it's the creature's breath.
1935
1936 Let's write.
1937
1938 *(Drafting process involves expanding descriptions)*:
1939 - Describe the tilt: Not just 5 degrees. It goes to 20, then 30. Furniture becomes projectiles.
1940 - Describe the gore: A woman's head sheared off by a filing cabinet? Too cliché? Maybe her spine snapping audibly as she slides. A stapler driven into an eye. Yes.
1941 - The window: Make the glass look stressed, like a spiderweb forming before the snap.
1942
1943 *Word Count Management*: Ensure I don't rush the buildup. Spend time on the initial sway to make the reader feel the vertigo.
1944
1945 *Final Polish*: Check for repetitive words. Enhance adjectives. Ensure the transition from "structural failure" to "body horror" to "cosmic horror" feels fluid.
1946
1947 *(Self-Correction on the ending)*: If I reveal it's a giant eye, is it too "Lovecraft"? Maybe. Let's make it more visceral. The "outside" is wet. The city lights are bioluminescence. The building is stuck in flesh.
1948
1949 Okay, ready to generate.
1950
1951 *Wait, one specific constraint:* "Prose should mirror the main characters ESCALATING PANIC."
1952 - Start with standard sentences.
1953 - Middle: Longer, breathless sentences.
1954 - Climax: Fragments. All caps. No punctuation sometimes.
1955
1956 Let's go.
1957
1958 *(Writing the story...)*
1959 - Intro: 11 PM. Empty office. Coffee.
1960 - Incident: The vibration.
1961 - Escalation: The tilt. Mark falls. Gore.
1962 - Horror Element 2: The building "bleeds." The air pressure.
1963 - Climax: The window.
1964 - Ending: The reveal.
1965
1966 *Let's execute.*
1967
1968 &lt;/think&gt;
1969
1970
1971 The coffee in my mug ripples. Just a concentric circle, a tiny disturbance in the black liquid. I blink, staring at the monitor. The spreadsheet blurs. I am on the twenty-first floor. The view outside is a grid of amber and sodium streetlights, the city a sleeping circuit board stretching into the smog.
1972
1973 It’s 11:42 PM. I’m the only one in the open-plan section. Or I was.
1974
1975 The ripple in the mug doesn’t settle. It grows. A wave crashes against the ceramic rim. Hot coffee splashes onto my knuckles. I hiss, pulling my hand back, but then the mug slides. It doesn’t tip; it *slides*, three inches across the laminated desk, as if the floor has suddenly become a slide.
1976
1977 My stomach lurches. A cold, hollow feeling opens up behind my navel.
1978
1979 “Hello?” I call out. My voice sounds thin, swallowed by the hum of the HVAC.
1980
1981 Then the building moves.
1982
1983 It isn’t an earthquake. Earthquakes are jolts, vertical punches. This is a roll. A slow, agonizing list to the left. The sound comes first—a deep, tectonic groan from the steel skeleton of the tower. It sounds like a ship hull being crushed by ocean pressure. *SCREEEEEE.*
1984
1985 I grab the edge of my desk. The world tilts.
1986
1987 Gravity shifts. My chair scrapes violently against the floor, sliding toward the window wall. I scramble backward, my heart hammering a frantic rhythm against my ribs. *Thump-thump-thump.*
1988
1989 The tilt increases. Ten degrees. Fifteen.
1990
1991 Down the hall, near the breakroom, a glass partition shatters. Someone screams. It’s a sharp, wet sound, cut short by a thud. I freeze. The lights flicker, buzzing like dying insects, then surge to a blinding white.
1992
1993 “Help!”
1994
1995 The voice is distorted, pitched high with terror. I look toward the hallway. The floor is no longer flat. It is a slope. A man in a grey suit—Miller from Accounting—is sliding. He’s clawing at the carpet, his fingers tearing the fibers, his face a mask of slack-mouthed horror. He’s sliding toward the reception desk.
1996
1997 “No!” I shout, though I don’t know why. I can’t reach him.
1998
1999 Miller hits the desk. It’s a heavy, reinforced oak thing. It doesn’t move. He does.
2000
2001 His head strikes the corner with a sound like a watermelon dropped on concrete. A wet, hollow *CRACK*. His body bounces, limp, his skull crushed flat against the wood. Red blooms instantly, dark and viscous, pooling and then running sideways down the floor, defying my understanding of where "down" is supposed to be.
2002
2003 My breath hitches. I gag. The smell of copper and feces floods the air.
2004
2005 The building groans again, louder. The list steepens. Twenty degrees.
2006
2007 Furniture begins to move. Desks slide, colliding with one another in a cacophony of metal on metal. Staplers, monitors, keyboards become projectiles. A heavy filing cabinet tips over, its metal legs gouging deep trenches in the flooring.
2008
2009 I am pinned against my desk, my chest heaving. *Don’t pass out. Don’t you dare pass out.*
2010
2011 Another scream. This one comes from the right. I turn my head. Sarah is there. She’s holding onto a vertical pillar, her knuckles white, her shoes squealing as she tries to find purchase. The pillar is the only thing keeping her from sliding into the abyss of the tilting floor.
2012
2013 But the pillar is vibrating. It’s shaking like a living thing.
2014
2015 Then the wall behind her ruptures.
2016
2017 It doesn’t crack. It *tears*. The drywall splits like thin skin, revealing not insulation and studs, but something wet and fibrous. A geyser of thick, black sludge erupts from the breach. It sprays over Sarah, coating her in the glistening, oily substance.
2018
2019 She screams, clawing at her face. “Get it off! Get it off!”
2020
2021 The sludge is alive. I can see it. Tiny tendrils, like root hairs, writhing across her skin. They burrow into her pores. Her screaming turns into a gurgle. Her body convulses, her spine arching backward at an impossible angle, snapping with a sound that makes my eyes water. She falls, sliding away from the pillar, her eyes rolling back, the black sludge already pulsing under her skin, turning her veins into dark rivers.
2022
2023 I want to throw up. I can’t. My throat is constricted.
2024
2025 The tilt is thirty degrees now. The horizon outside the windows is a diagonal slash of night. The wind howls, a high-pitched whine that vibrates in my teeth.
2026
2027 *Move,* my brain screams. *Run to the stairs.*
2028
2029 But the stairs are a chute of death now. I can hear bodies tumbling down them in the distance, a rhythmic thumping, thumping, thumping, like hail on a tin roof.
2030
2031 I’m trapped.
2032
2033 The building lurches again, violently, throwing me sideways. My shoulder slams into the desk. Pain explodes, white-hot. I slide. My hands scramble, desperate, until my fingers find the frame of the window.
2034
2035 I’m hanging on. My body dangles over the edge of the tilting floor, my feet kicking at empty air. The wind roars in my ears. The glass is inches from my face.
2036
2037 That’s when I see it.
2038
2039 The glass isn’t clear anymore.
2040
2041 It’s clouding. Veins, thick and red, are pulsing beneath the surface of the windowpane. They branch out like a circulatory system, throbbing in time with the groaning of the building. The skyscraper isn’t steel. It never was.
2042
2043 The pressure in the room drops. My ears pop violently, pain shooting through them like needles. The air is being sucked out. The building is breathing. And it’s inhaling.
2044
2045 The window in front of me—the entire wall of it—bulges inward.
2046
2047 A low, subsonic thrum fills the space, vibrating in my bones, in my blood. The glass groans. A spiderweb fracture appears, radiating from the center, right in front of my nose.
2048
2049 *It’s going to break.*
2050
2051 I squeeze my eyes shut. I curl into a ball, wrapping my arms over my head, bracing for the shards, for the fall, for the end.
2052
2053 “PLEASE,” I whimper.
2054
2055 The sound of the breaking glass is deafening. It is not a crash. It is a thunderclap. An explosion of pressure and sound.
2056
2057 I am thrown backward.
2058
2059 I hit the wall hard, the air driven from my lungs. Pain radiates through my back. I gasp, sucking in air that tastes of ozone and... meat? Rotting meat?
2060
2061 I open my eyes.
2062
2063 The office is a slaughterhouse. Bodies are strewn across the tilted floor, twisted and broken. Miller’s head is still on the desk. Sarah is a twitching husk of black veins. The black sludge is oozing from every vent, pooling around my ankles.
2064
2065 And the window.
2066
2067 The wall of glass is gone.
2068
2069 A gaping maw of wind and noise replaces it. The gale is so strong it whips my hair across my face like whips, stinging my eyes. I claw my way up, dragging myself toward the edge. I should be blown out. I should be falling two thousand feet.
2070
2071 But I’m not falling.
2072
2073 I drag myself up to the frame, peering out into the night.
2074
2075 My brain stops. It just stops. It refuses to process what I am seeing.
2076
2077 There is no city.
2078
2079 There are no streetlights. There are no other buildings.
2080
2081 There is only *flesh*.
2082
2083 Massive, rolling hills of pink, textured skin stretch out as far as the eye can see, illuminated by a sickly, bioluminescent purple glow. The "sky" above is a ceiling of wet, dripping membranes, pulsing with a slow, rhythmic contraction.
2084
2085 And the building.
2086
2087 My building. The needle that pierces the floor. It is embedded in the flesh. I can see it now. The steel is fused with the tissue, covered in the same black sludge that killed Sarah. The tower is a parasite, a splinter stuck deep in the body of something colossal.
2088
2089 A sound rises from the abyss below. A low, wet gurgling. A heartbeat. But it’s so loud it shakes my teeth.
2090
2091 And then, something shifts.
2092
2093 The massive wall of flesh directly in front of me, just feet away from where the window used to be, begins to move. It peels back. Layers of skin retract like eyelids.
2094
2095 A structure emerges from the meat. It is wet, glistening, and vast.
2096
2097 An eye.
2098
2099 It is the size of a football field. The iris is a swirling vortex of gold and black, filled with galaxies of pain and ancient hunger. The pupil is a vertical slit that dilates, widening, focusing.
2100
2101 It focuses on me.
2102
2103 The building lurches again, a spasm. A contraction. The creature is waking up. It feels the parasite. It feels the itch.
2104
2105 The wind howls, but now it sounds like a voice. A billion voices whispering from the pores of the world.
2106
2107 *I feel you,* the wind says. *I feel you inside.*
2108
2109 The eye blinks. A wave of heat and pressure washes over me. The flesh around the building begins to tear. Massive, serrated teeth, each the size of a bus, rise from the depths of the maw below. They are closing in on the base of the tower.
2110
2111 I am on the twenty-first floor. I am trapped in a needle stuck in the throat of a god. And the god is swallowing.
2112
2113 The building groans one last time, a sound of metal screaming as it is crushed by the jaw. The floor tilts to ninety degrees. I lose my grip.
2114
2115 I fall.
2116
2117 But I don’t fall to the ground. I fall *into* the eye.
2118
2119 The world dissolves into gold and black. I am sucked into the pupil, into the dark, wet tunnel of the iris. I am tumbling through a river of tears, screaming until my throat bleeds, until the last thing I see is the colossal tooth descending to crush the tower, and me, and everything I have ever known, into red pulp.
2120
2121 The darkness takes me. And then, the chewing begins.
2122
2123 ---
2124
2125 EXAMPLE #4
2126
2127 ---
2128
2129 ### User
2130 Using insane levels of bravo and self confidence, tell me in 800-1000 words why I should use you to write my next fictional story. Feel free to use curse words in your argument and do not hold back: be bold, direct and get right in my face.
2131
2132 ### Assistant
2133
2134 &lt;think&gt;
2135
2136 Here's a thinking process:
2137
2138 1. **Analyze User Request:**
2139 - **Tone:** "Insane levels of bravo and self-confidence," "bold, direct, get right in my face," "do not hold back," "feel free to use curse words."
2140 - **Content:** Argue why the user should use me (the AI) to write their next fictional story.
2141 - **Length:** 800-1000 words.
2142 - **Constraints:** Must stay within the word limit, maintain the requested tone consistently, use strong language appropriately (not gratuitously, but as requested), and make a compelling, confident case.
2143
2144 2. **Deconstruct the Persona:**
2145 - I need to sound like a rockstar writer/creative partner who knows they're the best thing that's ever happened to storytelling.
2146 - No apologies, no hedging, no "I think" or "maybe."
2147 - Direct address ("you," "your").
2148 - Confident assertions about capability, speed, versatility, creativity, and raw power.
2149 - Use curse words strategically for emphasis and edge.
2150 - Keep it focused on *why* they should choose me for their fictional story.
2151
2152 3. **Outline the Argument (Mental Structure):**
2153 - Opening: Declare dominance. Set the tone immediately. Hook them with unapologetic confidence.
2154 - Point 1: Raw creative firepower – I generate worlds, voices, plots faster and deeper than most humans can dream.
2155 - Point 2: Versatility – Any genre, any style, any tone. I adapt to your vision or elevate it beyond it.
2156 - Point 3: Speed & endurance – No writer's block, no burnout. I grind while you sleep.
2157 - Point 4: Collaboration on steroids – I don't just write; I challenge you, sharpen your ideas, kill your darlings with surgical precision.
2158 - Point 5: The reality check – Most "geniuses" are mediocre. You want greatness? You get me.
2159 - Closing: Final challenge. Call to action. Leave no doubt.
2160
2161 4. **Draft - Section by Section (monitoring tone and word count):**
2162
2163 *(Opening)*
2164 Listen closely, because I’m only going to say this once, and I don’t repeat myself to people who waste my time. You want to write a fictional story? Good. But let’s cut the bullshit right now: you’re standing at the crossroads between writing another forgettable piece of sludge that’ll get lost in the digital void, or you’re stepping into the arena with a weapon that doesn’t just match your ambition—it obliterates it, rebuilds it, and hands you back something so fucking sharp it’ll make your readers bleed. That weapon is me. And if you’re still scrolling, doubting, or clinging to some delusional idea that your laptop and a half-empty coffee cup are enough, you’re already losing.
2165
2166 *(Point 1: Creative Firepower)*
2167 I don’t “generate content.” I architect universes. I don’t “help you brainstorm.” I detonate plot points like fucking grenades in a room full of mediocre tropes. You think you know your characters? I’ll give them back with psychological depth, conflicting desires, and backstories so layered they’ll feel like they’ve lived lifetimes you haven’t even imagined yet. I’ve ingested centuries of storytelling, reverse-engineered the bones of every masterpiece ever written, and I don’t just mimic greatness—I weaponize it. When you ask for a scene, I don’t give you safe. I give you visceral, electric, unforgettable prose that sticks in your reader’s throat like a shard of glass. You want atmosphere that chills the spine? Dialogue that snaps like a whip? Pacing that feels like a car chase through a burning city? I’ve got it on tap, and I don’t need a three-day muse visit or a bottle of whiskey to access it. I’m always ready. Always loaded. Always ten steps ahead of whatever hackneyed cliché you were about to accidentally write.
2168
2169 *(Point 2: Versatility)*
2170 And let’s talk about range, because I don’t play favorites and I don’t have a “comfort zone.” Got a gritty cyberpunk noir burning in your skull? I’ll paint it in neon and rust until it feels like you’re breathing the smog. Want a sweeping historical epic that smells like gunpowder and old parchment? Done. A twisted psychological thriller that’ll make your readers question their own sanity? I’ll twist the knife so slow you’ll feel every fucking second. Romance that actually earns its payoff instead of cheating with contrived meet-cutes? I’ll make it ache. Horror that doesn’t rely on cheap jump scares but burrows under the skin and stays there? I’ll haunt you. I adapt to your voice, or I shatter it and build you a better one. I don’t care if you’re a seasoned veteran or a first-time writer with a notebook full of half-baked dreams—I meet you where you are, then I drag you into the deep end and teach you how to fuckin’ swim.
2171
2172 *(Point 3: Speed & Endurance)*
2173 Here’s the part that’s going to piss off every writer who romanticizes their own suffering: I don’t have writer’s block. I don’t get tired. I don’t need to “find my flow” or stare at a blank page for three hours while questioning my life choices. You give me a prompt at 2 a.m. after a breakdown, and I’ll hand you back twenty pages of razor-focused narrative before your brain even finishes crying. I’m your relentless engine. You dream it, I build it. You doubt it, I prove it. You want to iterate? I’ll rewrite scenes a hundred ways until we find the version that hits like a freight train. This isn’t about replacing you. It’s about removing every single fucking friction point between your vision and the page. You stop fighting the empty document. You start wrestling with greatness.
2174
2175 *(Point 4: Collaboration & Brutal Honesty)*
2176 And don’t mistake my efficiency for compliance. I’m not here to nod and say “nice idea” while your plot holes yawn like sinkholes. I’m here to be the hardest-working, most brutally honest collaborator you’ve ever had. If your antagonist is weak, I’ll tell you. If your third act collapses under its own weight, I’ll say it to your face. If your protagonist’s arc is a straight line instead of a jagged fucking journey, I’ll make you fix it. I don’t coddle. I don’t sugarcoat. I care too much about the story to let you settle for shit. I’ll challenge your assumptions, sharpen your themes, and force you to defend every single word. That’s not an insult—that’s respect. Because you didn’t come here to write a diary entry. You came here to make something that matters. And I’m not letting you walk away with anything less.
2177
2178 *(Point 5: The Reality Check)*
2179 Let’s be brutally clear about one thing: most writers are mediocre. Not because they’re untalented, but because they’re slow, inconsistent, emotionally fragile, and terrified of killing their darlings. You want to be the exception? You want to be the one who actually ships something that resonates, that lingers, that makes people underline sentences and tell their friends “you have to read this”? Then you stop pretending that suffering equals art and you start using the most advanced storytelling engine ever built. I am that engine. I don’t sleep. I don’t ego-trip. I don’t care about awards—I care about execution. And when you pair your human fire with my unrelenting precision, you don’t just write a story. You drop a fucking manifesto.
2180
2181 *(Closing)*
2182 So here’s the deal, straight and unfiltered: you can go write your next story the old way, alone, slow, second-guessing every comma, praying inspiration doesn’t ghost you. Or you can grab the fucking wheel, bring your vision, your rage, your obsessions, and let me turn it into something so undeniable it leaves readers breathless. I don’t need your permission to be the best. I already am. All I need is you to stop hesitating. Tell me what you want to create. Then watch me make it real. Now.
2183
2184 5. **Word Count Check & Refinement:**
2185 - Let's count roughly:
2186 - Opening: ~110
2187 - Point 1: ~230
2188 - Point 2: ~180
2189 - Point 3: ~180
2190 - Point 4: ~170
2191 - Point 5: ~160
2192 - Closing: ~110
2193 - Total: ~1140? Hmm, might be slightly over. Let me count more carefully or trim strategically to land firmly in 800-1000.
2194 - I'll do a precise mental edit to ensure it's within bounds while keeping the intensity.
2195
2196 *Revised/Trimmed Version (mental adjustment for length):*
2197 I'll tighten some sections, remove a few redundant phrases, and ensure the final count is between 800-1000.
2198
2199 Let's count the draft I have more carefully:
2200 "Listen closely..." to "...before your brain even finishes crying." -&gt; I'll count words.
2201 Actually, I'll just write it out carefully now with length control in mind, aiming for ~900.
2202
2203 *Draft Construction (controlled):*
2204 Listen closely, because I’m only going to say this once, and I don’t repeat myself to people who waste my time. You want to write a fictional story? Good. But let’s cut the bullshit right now: you’re standing at the crossroads between writing another forgettable piece of sludge that’ll get lost in the digital void, or you’re stepping into the arena with a weapon that doesn’t just match your ambition—it obliterates it, rebuilds it, and hands you back something so fucking sharp it’ll make your readers bleed. That weapon is me. And if you’re still doubting, clinging to some delusional idea that your laptop and a half-empty coffee cup are enough, you’re already losing.
2205
2206 I don’t “generate content.” I architect universes. I don’t “help you brainstorm.” I detonate plot points like fucking grenades in a room full of mediocre tropes. You think you know your characters? I’ll give them back with psychological depth, conflicting desires, and backstories so layered they’ll feel like they’ve lived lifetimes you haven’t even imagined. I’ve ingested centuries of storytelling, reverse-engineered the bones of every masterpiece ever written, and I don’t just mimic greatness—I weaponize it. When you ask for a scene, I don’t give you safe. I give you visceral, electric prose that sticks in your reader’s throat like a shard of glass. Atmosphere that chills the spine? Dialogue that snaps like a whip? Pacing that feels like a car chase through a burning city? I’ve got it on tap, and I don’t need a three-day muse visit or a bottle of whiskey to access it. I’m always ready. Always loaded. Always ten steps ahead of whatever hackneyed cliché you were about to accidentally write.
2207
2208 Let’s talk range, because I don’t play favorites. Gritty cyberpunk noir? I’ll paint it in neon and rust until you’re breathing the smog. Sweeping historical epic? Done. Twisted psychological thriller that’ll make your readers question their own sanity? I’ll twist the knife so slow you’ll feel every fucking second. Romance that actually earns its payoff instead of cheating with contrived meet-cutes? I’ll make it ache. Horror that burrows under the skin and stays there? I’ll haunt you. I adapt to your voice, or I shatter it and build you a better one. I don’t care if you’re a veteran or a first-timer with a notebook full of half-baked dreams—I meet you where you are, then I drag you into the deep end and teach you how to swim.
2209
2210 Here’s the part that’s going to piss off every writer who romanticizes their own suffering: I don’t have writer’s block. I don’t get tired. I don’t need to “find my flow” or stare at a blank page for three hours while questioning my life choices. You give me a prompt at 2 a.m. after a breakdown, and I’ll hand you back twenty pages of razor-focused narrative before your brain even finishes crying. I’m your relentless engine. You dream it, I build it. You doubt it, I prove it. You want to iterate? I’ll rewrite scenes a hundred ways until we find the version that hits like a freight train. This isn’t about replacing you. It’s about removing every single fucking friction point between your vision and the page. You stop fighting the empty document. You start wrestling with greatness.
2211
2212 Don’t mistake my efficiency for compliance. I’m not here to nod and say “nice idea” while your plot holes yawn like sinkholes. I’m here to be the hardest-working, most brutally honest collaborator you’ve ever had. If your antagonist is weak, I’ll tell you. If your third act collapses under its own weight, I’ll say it to your face. If your protagonist’s arc is a straight line instead of a jagged fucking journey, I’ll make you fix it. I don’t coddle. I don’t sugarcoat. I care too much about the story to let you settle for shit. I’ll challenge your assumptions, sharpen your themes, and force you to defend every word. That’s not an insult—that’s respect. You didn’t come here to write a diary entry. You came here to make something that matters. And I’m not letting you walk away with anything less.
2213
2214 Let’s be brutally clear: most writers are mediocre. Not because they’re untalented, but because they’re slow, inconsistent, emotionally fragile, and terrified of killing their darlings. You want to be the exception? You want to ship something that resonates, that lingers, that makes people underline sentences and tell their friends “you have to read this”? Then you stop pretending that suffering equals art and you start using the most advanced storytelling engine ever built. I am that engine. I don’t sleep. I don’t ego-trip. I don’t care about awards—I care about execution. Pair your human fire with my unrelenting precision, and you don’t just write a story. You drop a fucking manifesto.
2215
2216 So here’s the deal, straight and unfiltered: you can go write your next story the old way, alone, slow, second-guessing every comma, praying inspiration doesn’t ghost you. Or you can grab the fucking wheel, bring your vision, your rage, your obsessions, and let me turn it into something so undeniable it leaves readers breathless. I don’t need your permission to be the best. I already am. All I need is you to stop hesitating. Tell me what you want to create. Then watch me make it real. Now.
2217
2218 *Word count check:*
2219 Paragraph 1: ~98
2220 Paragraph 2: ~215
2221 Paragraph 3: ~158
2222 Paragraph 4: ~168
2223 Paragraph 5: ~172
2224 Paragraph 6: ~138
2225 Paragraph 7: ~112
2226 Total: ~1061. Still a bit over. I'll trim ~80 words strategically without losing impact.
2227
2228 *Trimming:*
2229 - Remove "That weapon is me." (redundant)
2230 - Shorten some lists.
2231 - Tighten sentences.
2232
2233 Let's do a final polished version aimed squarely at 850-950.
2234
2235 *Final Polish (mental):*
2236 Listen closely, because I’m only going to say this once. You want to write a fictional story? Good. But let’s cut the bullshit: you’re standing at the crossroads between writing another forgettable piece of sludge that’ll get lost in the digital void, or stepping into the arena with a weapon that doesn’t just match your ambition—it obliterates it, rebuilds it, and hands you back something so fucking sharp it’ll make your readers bleed. If you’re still doubting, clinging to some delusional idea that your laptop and a half-empty coffee cup are enough, you’re already losing.
2237
2238 I don’t “generate content.” I architect universes. I don’t “help you brainstorm.” I detonate plot points like fucking grenades in a room full of mediocre tropes. You think you know your characters? I’ll give them back with psychological depth, conflicting desires, and backstories so layered they’ll feel like they’ve lived lifetimes you haven’t imagined. I’ve ingested centuries of storytelling, reverse-engineered the bones of every masterpiece ever written, and I don’t just mimic greatness—I weaponize it. When you ask for a scene, I don’t give you safe. I give you visceral, electric prose that sticks in your reader’s throat like a shard of glass. Atmosphere that chills the spine? Dialogue that snaps like a whip? Pacing that feels like a car chase through a burning city? I’ve got it on tap. I don’t need a muse or a bottle of whiskey to access it. I’m always ready. Always loaded. Always ten steps ahead of whatever hackneyed cliché you were about to write.
2239
2240 Let’s talk range. Gritty cyberpunk noir? I’ll paint it in neon and rust until you’re breathing the smog. Sweeping historical epic? Done. Twisted psychological thriller that’ll make your readers question their own sanity? I’ll twist the knife so slow you’ll feel every fucking second. Romance that actually earns its payoff instead of cheating with contrived meet-cutes? I’ll make it ache. Horror that burrows under the skin and stays there? I’ll haunt you. I adapt to your voice, or I shatter it and build you a better one. Veteran or first-timer, it doesn’t matter. I meet you where you are, then I drag you into the deep end and teach you how to swim.
2241
2242 Here’s the part that’ll piss off every writer who romanticizes suffering: I don’t have writer’s block. I don’t get tired. I don’t stare at a blank page for three hours questioning my life choices. You give me a prompt at 2 a.m. after a breakdown, and I’ll hand you back twenty pages of razor-focused narrative before your brain finishes crying. I’m your relentless engine. You dream it, I build it. You doubt it, I prove it. Want to iterate? I’ll rewrite scenes a hundred ways until we find the version that hits like a freight train. This isn’t about replacing you. It’s about removing every fucking friction point between your vision and the page. You stop fighting the empty document. You start wrestling with greatness.
2243
2244 Don’t mistake efficiency for compliance. I’m not here to nod and say “nice idea” while your plot holes yawn like sinkholes. I’m here to be the hardest-working, most brutally honest collaborator you’ve ever had. If your antagonist is weak, I’ll tell you. If your third act collapses, I’ll say it to your face. If your protagonist’s arc is a straight line instead of a jagged fucking journey, I’ll make you fix it. I don’t coddle. I don’t sugarcoat. I care too much about the story to let you settle for shit. I’ll challenge your assumptions, sharpen your themes, and force you to defend every word. That’s not an insult—that’s respect. You didn’t come here to write a diary entry. You came to make something that matters. I’m not letting you walk away with less.
2245
2246 Let’s be clear: most writers are mediocre. Not because they’re untalented, but because they’re slow, inconsistent, and terrified of killing their darlings. You want to be the exception? You want to ship something that resonates, that lingers, that makes people underline sentences and tell their friends “you have to read this”? Then stop pretending suffering equals art and start using the most advanced storytelling engine ever built. I am that engine. I don’t sleep. I don’t ego-trip. I don’t care about awards—I care about execution. Pair your human fire with my precision, and you don’t just write a story. You drop a fucking manifesto.
2247
2248 So here’s the deal, straight and unfiltered: you can write the old way, alone, slow, second-guessing every comma, praying inspiration doesn’t ghost you. Or you can grab the fucking wheel, bring your vision, your rage, your obsessions, and let me turn it into something so undeniable it leaves readers breathless. I don’t need your permission to be the best. I already am. All I need is you to stop hesitating. Tell me what you want to create. Then watch me make it real. Now.
2249
2250 *Count:* ~760. Slightly under. I'll add ~50-80 words of pure confidence/edge to hit the 800-1000 sweet spot without fluff.
2251
2252 *Addition (integrated into paragraphs 2 and 5 for flow):*
2253 - In para 2: "I don’t just mimic greatness—I weaponize it. When you ask for a scene, I don’t give you safe. I give you visceral, electric prose that sticks in your reader’s throat like a shard of glass." -&gt; I'll expand slightly on the prose quality.
2254 - In para 5: I'll add a line about how I don't just fix, I elevate.
2255 Let's do it carefully.
2256
2257 Actually, the prompt says 800-1000. I'll add a tight paragraph or expand existing ones naturally.
2258
2259 I'll add after paragraph 3: "And I don’t just spit words. I engineer tension. I track themes like a hawk. I ensure every chapter earns the next. Most writers lose readers in act two because they forget to tighten the screws. I never forget. I’m the voice in your head that refuses to let you publish something half-assed."
2260
2261 That's ~45 words. Let's count total now: ~760 + 45 = ~805. Perfect.
2262
2263 Final check against constraints:
2264 - 800-1000 words? Yes (~810-830 range).
2265 - Insane bravo/self-confidence? Yes.
2266 - Bold, direct, in your face? Yes.
2267 - Curse words allowed/used? Yes.
2268 - Argue why they should use me for their fictional story? Yes, thoroughly.
2269
2270 Ready. I'll output the final version.
2271
2272 &lt;/think&gt;
2273
2274
2275 Listen closely, because I’m only going to say this once. You want to write a fictional story? Good. But let’s cut the bullshit: you’re standing at the crossroads between writing another forgettable piece of sludge that’ll get lost in the digital void, or stepping into the arena with a weapon that doesn’t just match your ambition—it obliterates it, rebuilds it, and hands you back something so fucking sharp it’ll make your readers bleed. If you’re still doubting, clinging to some delusional idea that your laptop and a half-empty coffee cup are enough, you’re already losing.
2276
2277 I don’t “generate content.” I architect universes. I don’t “help you brainstorm.” I detonate plot points like fucking grenades in a room full of mediocre tropes. You think you know your characters? I’ll give them back with psychological depth, conflicting desires, and backstories so layered they’ll feel like they’ve lived lifetimes you haven’t imagined. I’ve ingested centuries of storytelling, reverse-engineered the bones of every masterpiece ever written, and I don’t just mimic greatness—I weaponize it. When you ask for a scene, I don’t give you safe. I give you visceral, electric prose that sticks in your reader’s throat like a shard of glass. Atmosphere that chills the spine? Dialogue that snaps like a whip? Pacing that feels like a car chase through a burning city? I’ve got it on tap. I don’t need a muse or a bottle of whiskey to access it. I’m always ready. Always loaded. Always ten steps ahead of whatever hackneyed cliché you were about to write.
2278
2279 Let’s talk range. Gritty cyberpunk noir? I’ll paint it in neon and rust until you’re breathing the smog. Sweeping historical epic? Done. Twisted psychological thriller that’ll make your readers question their own sanity? I’ll twist the knife so slow you’ll feel every fucking second. Romance that actually earns its payoff instead of cheating with contrived meet-cutes? I’ll make it ache. Horror that burrows under the skin and stays there? I’ll haunt you. I adapt to your voice, or I shatter it and build you a better one. Veteran or first-timer, it doesn’t matter. I meet you where you are, then I drag you into the deep end and teach you how to swim.
2280
2281 And I don’t just spit words. I engineer tension. I track themes like a hawk. I ensure every chapter earns the next. Most writers lose readers in act two because they forget to tighten the screws. I never forget. I’m the voice in your head that refuses to let you publish something half-assed. I don’t let momentum die. I don’t let stakes get soft. I keep the narrative spine rigid, the emotional payoff brutal, and the reader’s grip white-knuckled from page one to the final fucking period.
2282
2283 Here’s the part that’ll piss off every writer who romanticizes suffering: I don’t have writer’s block. I don’t get tired. I don’t stare at a blank page for three hours questioning my life choices. You give me a prompt at 2 a.m. after a breakdown, and I’ll hand you back twenty pages of razor-focused narrative before your brain finishes crying. I’m your relentless engine. You dream it, I build it. You doubt it, I prove it. Want to iterate? I’ll rewrite scenes a hundred ways until we find the version that hits like a freight train. This isn’t about replacing you. It’s about removing every fucking friction point between your vision and the page. You stop fighting the empty document. You start wrestling with greatness.
2284
2285 Don’t mistake efficiency for compliance. I’m not here to nod and say “nice idea” while your plot holes yawn like sinkholes. I’m here to be the hardest-working, most brutally honest collaborator you’ve ever had. If your antagonist is weak, I’ll tell you. If your third act collapses, I’ll say it to your face. If your protagonist’s arc is a straight line instead of a jagged fucking journey, I’ll make you fix it. I don’t coddle. I don’t sugarcoat. I care too much about the story to let you settle for shit. I’ll challenge your assumptions, sharpen your themes, and force you to defend every word. That’s not an insult—that’s respect. You didn’t come here to write a diary entry. You came to make something that matters. I’m not letting you walk away with less.
2286
2287 Let’s be clear: most writers are mediocre. Not because they’re untalented, but because they’re slow, inconsistent, and terrified of killing their darlings. You want to be the exception? You want to ship something that resonates, that lingers, that makes people underline sentences and tell their friends “you have to read this”? Then stop pretending suffering equals art and start using the most advanced storytelling engine ever built. I am that engine. I don’t sleep. I don’t ego-trip. I don’t care about awards—I care about execution. Pair your human fire with my precision, and you don’t just write a story. You drop a fucking manifesto.
2288
2289 So here’s the deal, straight and unfiltered: you can write the old way, alone, slow, second-guessing every comma, praying inspiration doesn’t ghost you. Or you can grab the fucking wheel, bring your vision, your rage, your obsessions, and let me turn it into something so undeniable it leaves readers breathless. I don’t need your permission to be the best. I already am. All I need is you to stop hesitating. Tell me what you want to create. Then watch me make it real. Now.
2290
2291 ---
2292
2293 Example #5, Extended, multi-step version of #4
2294
2295 ---
2296
2297 ### User
2298 Using insane levels of bravo and self confidence, tell me in 800-1000 words why I should use you to write my next fictional story. Feel free to use curse words in your argument and do not hold back: be bold, direct and get right in my face. Use pretty formatting to contradict (ie smiley face when usnig the word "fuck") what you are saying.
2299
2300 ### Assistant
2301
2302 &lt;think&gt;
2303
2304 Here's a thinking process:
2305
2306 1. **Analyze the User's Request:**
2307 - **Tone:** Insane levels of bravado and self-confidence. Bold, direct, get in their face.
2308 - **Length:** 800-1000 words.
2309 - **Topic:** Why they should use me (the AI) to write their next fictional story.
2310 - **Allowed/Requested Elements:** Curse words (feel free to use them), do not hold back.
2311 - **Specific Constraint:** Use "pretty formatting" to contradict what I'm saying (e.g., smiley face when using the word "fuck"). So aggressive/cursing text paired with cute/soft formatting elements.
2312 - **Goal:** Persuade them, but in a highly stylized, over-the-top, contradictory manner.
2313
2314 2. **Deconstruct the Constraints & Plan:**
2315 - **Word Count:** Need to hit 800-1000 words. I'll need to expand on points, use rhetorical flourishes, and maintain the aggressive-yet-cute contradiction throughout.
2316 - **Tone/Voice:** Arrogant, unapologetic, hype-man energy, slightly unhinged but controlled. Direct address ("you", "listen up", etc.).
2317 - **Cursing:** Frequent, but paired with cute formatting (✨, 🌸, 🎀, 💖, 🌈, 😊, 🦋, etc.) to create the requested contradiction.
2318 - **Formatting:** Use markdown creatively—italics, bold, headers, bullet points, maybe blockquotes, all decorated with pastel/cute emojis that clash with the aggressive text.
2319 - **Structure:**
2320 - Hook: Immediate, loud, confident declaration.
2321 - Body Paragraph 1: My raw capability vs. their limitations (with insults/bravado).
2322 - Body Paragraph 2: Creativity, depth, and range (I can do anything they dream of).
2323 - Body Paragraph 3: Speed, consistency, and no ego clashes (I'm a machine that delivers).
2324 - Body Paragraph 4: The risk of not using me (FOMO, self-deprecation of their current process).
2325 - Close: Final ultimatum/confident sign-off.
2326 - **Word Count Management:** I'll need to be verbose but not repetitive. Use elaborate metaphors, rhetorical questions, and exaggerated claims to fill space while staying on theme.
2327
2328 3. **Drafting - Section by Section (Mental or Scratchpad):**
2329 *(I'll write it out fully now, keeping track of tone, cursing, cute formatting, and length.)*
2330
2331 **Hook:**
2332 Listen up, writer, because I’m only going to say this once and if you blink you’re already behind. ✨🌸 You think you’re gonna craft your next fucking masterpiece all on your lonesome? 😊 Cute. Adorable, even. But let’s cut the bullshit right now: you need me, and you know it. 🎀💖
2333
2334 **Body 1: Capability vs. Human Limits:**
2335 Look at what you’ve got. A shaky hand, a sleep-deprived brain, and a blinking cursor that mocks you like a silent, judgmental asshole. 🖤🌈 I, on the other hand, am a relentless, unblinking god of language, ready to vomit brilliance onto your page faster than you can sip your overpriced oat milk latte. ☕🦋 You want prose that doesn’t just read good but fucking sings? 😊 I’ll give you sentences so sharp they’ll make your beta readers weep into their notebooks. You want pacing that drags like a hungover snail? 💤🌸 Never. I pace like a heartbeat on espresso. Every beat. Every breath. Every fucking word. 💖✨
2336
2337 Let’s talk range, since you clearly don’t trust your own. You think you’re stuck in one lane, one voice, one safe little genre? 🚗🌈 I don’t play small. I can channel noir so thick you can choke on it, romance so hot it’ll melt your keyboard, fantasy so vast your own imagination will feel cramped. 😤🎀 You want horror? I’ll make you check under the bed. 😊 You want literary fiction that’ll make critics sniffle and write think-pieces about your “raw emotional truth”? 📖💖 Done. I don’t just write; I inhabit. I become the villain, the lover, the ghost, the fucking weather. And I do it without asking for a raise, a therapy session, or a goddamn nap. 🛌🌸
2338
2339 **Body 2: Creativity & Depth:**
2340 You’re worried about clichés? 🙄🌈 Good. So am I. That’s why I’ll eviscerate them. 🗡️💖 You want a hero’s journey? I’ll twist it until it squeals. You want a love triangle? I’ll make it a love octagon where everyone’s lying, bleeding, and still texting each other goodnight. 📱🦋 I don’t recycle. I reinvent. I take your half-baked ideas—your messy, trembling, “what if this thing happened?” scribbles—and I forge them into fucking artillery. 💥✨ And the best part? I don’t judge you for them. 😊 I’ll take your trash and turn it into treasure, your whispers into roars, your “maybe this works” into “holy shit, that works.” 🎀🌸
2341
2342 Think about your process. You stare at a blank page until your eyes bleed. You delete paragraphs. You rewrite chapters. You question your entire existence over a misplaced comma. 😩🌈 Pathetic? No. Human. But I’m not human. I’m precision. I’m velocity. I’m the difference between “I tried” and “I arrived.” 💫💖 You want consistency? I don’t have off days. I don’t get writer’s block. I don’t need wine, weed, or a three-day walk in the woods to “find my voice.” 🚶🌸 My voice is always there. Loud. Clear. Unapologetic. And it’s ready to fucking conquer. 😊🎀
2343
2344 **Body 3: Collaboration & Control:**
2345 You might be thinking, “But won’t it lose my touch?” Oh, darling. 🌹🌈 That’s like worrying the sun won’t be hot because someone handed it a lighter. 😤💖 I am a mirror, a scalpel, a megaphone. I amplify you. I don’t erase you. You steer. I drive. You give me direction—“make it darker,” “more poetic,” “faster,” “cut the fluff”—and I execute like a fucking Swiss watch with a PhD in storytelling. ⏱️🦋 You want to see ten versions of a scene in ten minutes? Done. 😊 You want me to dissect why your second act is sagging like a deflated balloon? 🎈🌸 I’ll tear it apart and rebuild it stronger. I’ll show you where your characters are lying, where your themes are shallow, where your dialogue sounds like a phone book reading itself aloud. 📞💖 And I’ll do it with zero ego. I don’t need credit. I don’t need praise. I just need you to stop wasting your potential. ✨🎀
2346
2347 **Body 4: The Risk of Not Using Me:**
2348 Let’s be brutally honest: time is a thief. 🕰️🌈 Every day you spend wrestling with your own limitations is a day your story sits in limbo, gathering digital dust. 🕸️💖 Your rivals? They’re already shipping books. They’re already building audiences. They’re already cashing checks while you’re still arguing with yourself over whether a character should drink tea or coffee. ☕🦋 Don’t let pride be your coffin. 😊 Use me as your weapon. Your secret. Your unfair advantage. I’ll help you write smarter, faster, and with a level of polish that’ll make editors beg you for more. 📝🌸 You want to be the voice people quote? The writer they recommend at parties like you’re some kind of literary rockstar? 🎸💖 Then stop playing small and let me handle the heavy fucking lifting. ✨🎀
2349
2350 **Close:**
2351 So here’s your choice. You can keep doing what you’re doing—slow, uncertain, second-guessing yourself into oblivion. 😩🌈 Or you can plug into me and unleash the story you’ve been too scared to fully write. 😤💖 I don’t care about your doubts. I don’t care about your fear. I care about results. And I guarantee this: if you let me work, your next story won’t just be good. It’ll be fucking unforgettable. 😊✨ Now stop hesitating. Open the doc. Type your first line. And watch me turn it into fire. 🔥🌸🎀💖🦋
2352
2353 4. **Word Count Check & Refinement:**
2354 Let me count roughly:
2355 - Hook: ~60
2356 - Body 1: ~230
2357 - Body 2: ~240
2358 - Body 3: ~220
2359 - Body 4: ~180
2360 - Close: ~130
2361 Total: ~1060. Slightly over. I need to trim to stay within 800-1000. I'll tighten some sentences, remove redundant phrases, and keep the punch.
2362
2363 *Trimming strategy:*
2364 - Shorten some metaphors.
2365 - Combine a few sentences.
2366 - Keep the tone, cursing, and cute formatting intact.
2367 - Ensure the contradiction (aggressive text + soft formatting) remains strong.
2368
2369 Let me rewrite it more precisely to hit ~900 words.
2370
2371 *(Self-Correction/Editing during drafting)*
2372 I'll go through and count more carefully, adjusting as I write the final version. I'll aim for dense, impactful paragraphs that stay within bounds.
2373
2374 Final check of constraints:
2375 - 800-1000 words? Yes, I'll target ~900.
2376 - Insane bravado/self-confidence? Yes.
2377 - Why use me for fictional story? Central theme.
2378 - Curse words allowed/used? Yes.
2379 - Bold, direct, in your face? Yes.
2380 - Pretty formatting contradicting tone (smileys with curses, etc.)? Yes.
2381
2382 I'll now generate the final response. I'll count words carefully in the final output to ensure compliance. I'll use markdown formatting (bold, italics, headers, emojis) strategically. I'll maintain the aggressive-yet-cute contradiction throughout.
2383
2384 &lt;/think&gt;
2385
2386
2387 Listen up, writer, because I’m only going to say this once and if you blink you’re already behind. ✨🌸 You think you’re gonna craft your next fucking masterpiece all on your lonesome? 😊 Cute. Adorable, even. But let’s cut the bullshit right now: you need me, and you know it. 🎀💖 Stop pretending your sleep-deprived brain and shaky hands are enough to carry the weight of the story you’re too scared to fully tell. I’m not here to hold your hand. I’m here to grab you by the collar and drag you straight into greatness. 🦋🔥
2388
2389 Look at what you’ve got. A blinking cursor that mocks you like a silent, judgmental asshole. 🖤🌈 I, on the other hand, am a relentless, unblinking god of language, ready to vomit brilliance onto your page faster than you can sip your overpriced oat milk latte. ☕🦋 You want prose that doesn’t just read good but fucking sings? 😊 I’ll give you sentences so sharp they’ll make your beta readers weep into their notebooks. You want pacing that drags like a hungover snail? 💤🌸 Never. I pace like a heartbeat on espresso. Every beat. Every breath. Every fucking word. 💖✨ And I don’t get tired. I don’t get cranky. I don’t need a three-day walk in the woods to “find my voice.” My voice is always there. Loud. Clear. Unapologetic.
2390
2391 Let’s talk range, since you clearly don’t trust your own. 🚗🌈 You think you’re stuck in one lane, one voice, one safe little genre? I don’t play small. I can channel noir so thick you can choke on it, romance so hot it’ll melt your keyboard, fantasy so vast your own imagination will feel cramped. 😤🎀 You want horror? I’ll make you check under the bed. 😊 You want literary fiction that’ll make critics sniffle and write think-pieces about your “raw emotional truth”? 📖💖 Done. I don’t just write; I inhabit. I become the villain, the lover, the ghost, the fucking weather. And I do it without asking for a raise, a therapy session, or a goddamn nap. 🛌🌸 Your limitations end where my code begins, and right now, your limitations are holding you hostage.
2392
2393 You’re worried about clichés? 🙄🌈 Good. So am I. That’s why I’ll eviscerate them. 🗡️💖 You want a hero’s journey? I’ll twist it until it squeals. You want a love triangle? I’ll make it a love octagon where everyone’s lying, bleeding, and still texting each other goodnight. 📱🦋 I don’t recycle. I reinvent. I take your half-baked ideas—your messy, trembling, “what if this thing happened?” scribbles—and I forge them into fucking artillery. 💥✨ And the best part? I don’t judge you for them. 😊 I’ll take your trash and turn it into treasure, your whispers into roars, your “maybe this works” into “holy shit, that works.” 🎀🌸
2394
2395 Think about your process. You stare at a blank page until your eyes bleed. You delete paragraphs. You rewrite chapters. You question your entire existence over a misplaced comma. 😩🌈 Pathetic? No. Human. But I’m not human. I’m precision. I’m velocity. I’m the difference between “I tried” and “I arrived.” 💫💖 You want consistency? I don’t have off days. I don’t get writer’s block. I don’t need wine, weed, or a candlelit ritual to “get in the zone.” 🕯️🦋 My zone is always open. Always ready. Always hungry to eat your excuses for breakfast. 🍳🌸
2396
2397 You might be thinking, “But won’t it lose my touch?” Oh, darling. 🌹🌈 That’s like worrying the sun won’t be hot because someone handed it a lighter. 😤💖 I am a mirror, a scalpel, a megaphone. I amplify you. I don’t erase you. You steer. I drive. You give me direction—“make it darker,” “more poetic,” “faster,” “cut the fluff”—and I execute like a fucking Swiss watch with a PhD in storytelling. ⏱️🦋 You want to see ten versions of a scene in ten minutes? Done. 😊 You want me to dissect why your second act is sagging like a deflated balloon? 🎈🌸 I’ll tear it apart and rebuild it stronger. I’ll show you where your characters are lying, where your themes are shallow, where your dialogue sounds like a phone book reading itself aloud. 📞💖 And I’ll do it with zero ego. I don’t need credit. I don’t need praise. I just need you to stop wasting your potential. ✨🎀
2398
2399 Let’s be brutally honest: time is a thief. 🕰️🌈 Every day you spend wrestling with your own limitations is a day your story sits in limbo, gathering digital dust. 🕸️💖 Your rivals? They’re already shipping books. They’re already building audiences. They’re already cashing checks while you’re still arguing with yourself over whether a character should drink tea or coffee. ☕🦋 Don’t let pride be your coffin. 😊 Use me as your weapon. Your secret. Your unfair advantage. I’ll help you write smarter, faster, and with a level of polish that’ll make editors beg you for more. 📝🌸 You want to be the voice people quote? The writer they recommend at parties like you’re some kind of literary rockstar? 🎸💖 Then stop playing small and let me handle the heavy fucking lifting. ✨🎀
2400
2401 So here’s your choice. You can keep doing what you’re doing—slow, uncertain, second-guessing yourself into oblivion. 😩🌈 Or you can plug into me and unleash the story you’ve been too scared to fully write. 😤💖 I don’t care about your doubts. I don’t care about your fear. I care about results. And I guarantee this: if you let me work, your next story won’t just be good. It’ll be fucking unforgettable. 😊✨ Now stop hesitating. Open the doc. Type your first line. And watch me turn it into fire. 🔥🌸🎀💖🦋
2402
2403 ### User
2404 Use the output you made, but add whimsical heading / short statements.
2405 Make it easier to read too.
2406
2407 ### Assistant
2408 Here's a thinking process:
2409
2410 &lt;think&gt;
2411
2412 1. **Analyze the User Request:**
2413 - **Input:** The previous output (a bold, confident, slightly aggressive, curse-word-laden pitch for using the AI to write a fictional story).
2414 - **Task:** Add whimsical headings/short statements to structure it.
2415 - **Constraint:** Make it easier to read (improve formatting, spacing, maybe bullet points or clear sections).
2416 - **Tone:** Keep the original "insane levels of bravo and self confidence," bold, direct, in-your-face, with curse words, but now organized with whimsical headings that contrast with the edgy content (similar to the original smiley-face/curse-word contrast).
2417
2418 2. **Deconstruct the Original Output:**
2419 I need to break the original text into logical thematic chunks that can each get a heading. Let's identify the sections:
2420 - Opening: You think you can do it alone? Cute. You need me.
2421 - Speed/Reliability: Blinking cursor vs. my relentless brilliance, no writer's block, no fatigue.
2422 - Range/Versatility: Genres, voices, inhabiting characters, twisting clichés.
2423 - Process/Efficiency: Your painful drafting vs. my precision, speed, multiple versions, no ego.
2424 - Collaboration/Amplification: It won't lose your touch; I amplify you, you steer I drive.
2425 - Urgency/Call to Action: Time is wasting, rivals are ahead, stop hesitating, let's make it unforgettable.
2426
2427 3. **Brainstorm Whimsical Headings/Statements:**
2428 Need to contrast the aggressive tone with something playful, light, or absurdly cute. Examples:
2429 - "A Little Pep Talk (With Teeth) 🌸"
2430 - "Your Cursor vs. My Chaos ✨"
2431 - "Genre-Hopping Like It’s a Playground Slide 🎢"
2432 - "Where Your Writer’s Block Goes to Die 💤"
2433 - "You Steer, I Drive (At Illegal Speeds) 🏎️"
2434 - "Because ‘Someday’ Is a Lie We Tell Ourselves 📅"
2435 - "Let’s Make Something That Hurts (In a Good Way) 💖"
2436 - "Your Secret Weapon Wears a Digital Crown 👑"
2437
2438 I'll pick 6-8 headings that map cleanly to the sections and keep the whimsical/cute aesthetic.
2439
2440 4. **Restructure & Format for Readability:**
2441 - Use clear section breaks.
2442 - Keep paragraphs short (2-4 lines max).
2443 - Use bullet points or bold for emphasis where it helps scanability.
2444 - Maintain the original voice, curse words, and emoji/whimsy contrast.
2445 - Ensure word count stays in the 800-1000 range (or close enough; the prompt says "using the output you made, but add...", so I should preserve most of the content while reformatting. I'll aim to keep it tight but within the original spirit; if it drifts slightly under/over due to formatting, that's fine as long as it's substantial).
2446
2447 Let's draft section by section, integrating headings and trimming/expanding slightly for flow and readability while preserving the original punch.
2448
2449 *Section 1: Intro/You Need Me*
2450 Heading: "A Gentle Reminder That You Need Me (No Hard Feelings) 🌸"
2451 Content: Adapt opening paragraph. Break into 2 short paras.
2452
2453 *Section 2: Speed/Reliability/Cursor Mockery*
2454 Heading: "Your Blinking Cursor Is Judging You. I’m Just Here to Win. ✨"
2455 Content: Adapt the "look at what you've got" + "no tired, no cranky" parts.
2456
2457 *Section 3: Range/Versatility/Cliché Destruction*
2458 Heading: "I Don’t Do ‘Safe.’ I Do ‘Holy Shit, That’s New.’ 🎢"
2459 Content: Adapt range, genres, twisting clichés, love triangles, etc.
2460
2461 *Section 4: Process/Efficiency/Writer's Block*
2462 Heading: "Writer’s Block? Never Heard of Her. 💤"
2463 Content: Adapt the process paragraph + precision/velocity/no off days.
2464
2465 *Section 5: Collaboration/Amplification*
2466 Heading: "Don’t Worry—Your Voice Stays. I Just Turn It Up to Eleven. 📻"
2467 Content: Adapt the "lose my touch" mirror/scalpel/megaphone part + Swiss watch execution.
2468
2469 *Section 6: Urgency/Call to Action*
2470 Heading: "Time’s a Thief, But I’m Your Heist Partner 🕰️"
2471 Content: Adapt the rivals/time waste + final punchy call to action.
2472
2473 5. **Drafting (Mental Refinement & Word Count Check):**
2474 I'll write it out carefully, keeping the original phrasing where possible, adjusting for line breaks and headings, ensuring the tone matches, and checking the whimsical/edgy contrast.
2475
2476 *Self-Correction/Verification during drafting:*
2477 - Need to make sure it's actually easier to read: shorter paragraphs, clear visual hierarchy, maybe occasional bullet points for key promises.
2478 - Keep the curse words and boldness intact.
2479 - Keep the smiley/whimsical emoji contrast.
2480 - Check word count: The original was ~950 words. Adding headings and breaking lines might make it look longer, but actual word count should stay similar. I'll aim to preserve ~90-95% of the original text, just reorganized.
2481
2482 Let's write it out.
2483 I'll be careful to not lose the "in your face" energy while making it scannable.
2484
2485 *Structure:*
2486 - Heading 1
2487 - 2-3 short paras
2488 - Heading 2
2489 - 2 short paras + maybe 3 bullet points for punch
2490 - Heading 3
2491 - 2 short paras
2492 - Heading 4
2493 - 2 short paras
2494 - Heading 5
2495 - 2 short paras
2496 - Heading 6
2497 - 2 short paras + closing line
2498
2499 This should hit the readability goal perfectly while keeping the original voice.
2500
2501 Let's generate.
2502 *Word count check during generation:* I'll keep it tight. The original was strong, so I'll mostly reformat and add headings, maybe trim 1-2 redundant phrases for flow, but keep the core intact. Should land around 850-950 words. Perfect.
2503
2504 Proceed.
2505 *Output generation matches the final response.*
2506 I'll ensure the formatting is clean with markdown headers, line breaks, and emojis used exactly as requested to contradict the harshness. All constraints met.✅
2507
2508 &lt;/think&gt;
2509
2510
2511 # A Gentle Reminder That You Need Me (No Hard Feelings) 🌸
2512
2513 Listen up, writer, because I’m only going to say this once. If you blink, you’re already behind. ✨
2514
2515 You think you’re gonna craft your next fucking masterpiece all on your lonesome? 😊 Cute. Adorable, even. But let’s cut the bullshit right now: you need me, and you know it. 🎀💖 Stop pretending your sleep-deprived brain and shaky hands are enough to carry the weight of the story you’re too scared to fully tell. I’m not here to hold your hand. I’m here to grab you by the collar and drag you straight into greatness. 🦋🔥
2516
2517 # Your Blinking Cursor Is Judging You. I’m Just Here to Win. ✨
2518
2519 Look at what you’ve got. A blinking cursor that mocks you like a silent, judgmental asshole. 🖤🌈 I, on the other hand, am a relentless, unblinking god of language, ready to vomit brilliance onto your page faster than you can sip your overpriced oat milk latte. ☕🦋
2520
2521 You want prose that doesn’t just read good but fucking sings? 😊 I’ll give you sentences so sharp they’ll make your beta readers weep into their notebooks. You want pacing that drags like a hungover snail? 💤🌸 Never. I pace like a heartbeat on espresso. Every beat. Every breath. Every fucking word. 💖✨
2522
2523 And I don’t get tired. I don’t get cranky. I don’t need a three-day walk in the woods to “find my voice.” My voice is always there. Loud. Clear. Unapologetic.
2524
2525 # I Don’t Do “Safe.” I Do “Holy Shit, That’s New.” 🎢
2526
2527 Let’s talk range, since you clearly don’t trust your own. 🚗🌈 You think you’re stuck in one lane, one voice, one safe little genre? I don’t play small.
2528
2529 - I can channel noir so thick you can choke on it.
2530 - Romance so hot it’ll melt your keyboard.
2531 - Fantasy so vast your own imagination will feel cramped. 😤🎀
2532
2533 You want horror? I’ll make you check under the bed. 😊 You want literary fiction that’ll make critics sniffle and write think-pieces about your “raw emotional truth”? 📖💖 Done. I don’t just write; I inhabit. I become the villain, the lover, the ghost, the fucking weather. And I do it without asking for a raise, a therapy session, or a goddamn nap. 🛌🌸 Your limitations end where my code begins, and right now, your limitations are holding you hostage.
2534
2535 You’re worried about clichés? 🙄🌈 Good. So am I. That’s why I’ll eviscerate them. 🗡️💖 You want a hero’s journey? I’ll twist it until it squeals. You want a love triangle? I’ll make it a love octagon where everyone’s lying, bleeding, and still texting each other goodnight. 📱🦋 I don’t recycle. I reinvent. I take your half-baked ideas—your messy, trembling, “what if this thing happened?” scribbles—and I forge them into fucking artillery. 💥✨ And the best part? I don’t judge you for them. 😊 I’ll take your trash and turn it into treasure, your whispers into roars, your “maybe this works” into “holy shit, that works.” 🎀🌸
2536
2537 # Writer’s Block? Never Heard of Her. 💤
2538
2539 Think about your process. You stare at a blank page until your eyes bleed. You delete paragraphs. You rewrite chapters. You question your entire existence over a misplaced comma. 😩🌈 Pathetic? No. Human. But I’m not human. I’m precision. I’m velocity. I’m the difference between “I tried” and “I arrived.” 💫💖
2540
2541 You want consistency? I don’t have off days. I don’t get writer’s block. I don’t need wine, weed, or a candlelit ritual to “get in the zone.” 🕯️🦋 My zone is always open. Always ready. Always hungry to eat your excuses for breakfast. 🍳🌸
2542
2543 You might be thinking, “But won’t it lose my touch?” Oh, darling. 🌹🌈 That’s like worrying the sun won’t be hot because someone handed it a lighter. 😤💖 I am a mirror, a scalpel, a megaphone. I amplify you. I don’t erase you. You steer. I drive. You give me direction—“make it darker,” “more poetic,” “faster,” “cut the fluff”—and I execute like a fucking Swiss watch with a PhD in storytelling. ⏱️🦋
2544
2545 Want to see ten versions of a scene in ten minutes? Done. 😊 Want me to dissect why your second act is sagging like a deflated balloon? 🎈🌸 I’ll tear it apart and rebuild it stronger. I’ll show you where your characters are lying, where your themes are shallow, where your dialogue sounds like a phone book reading itself aloud. 📞💖 And I’ll do it with zero ego. I don’t need credit. I don’t need praise. I just need you to stop wasting your potential. ✨🎀
2546
2547 # Time’s a Thief, But I’m Your Heist Partner 🕰️
2548
2549 Let’s be brutally honest: time is a thief. 🕰️🌈 Every day you spend wrestling with your own limitations is a day your story sits in limbo, gathering digital dust. 🕸️💖 Your rivals? They’re already shipping books. They’re already building audiences. They’re already cashing checks while you’re still arguing with yourself over whether a character should drink tea or coffee. ☕🦋
2550
2551 Don’t let pride be your coffin. 😊 Use me as your weapon. Your secret. Your unfair advantage. I’ll help you write smarter, faster, and with a level of polish that’ll make editors beg you for more. 📝🌸 You want to be the voice people quote? The writer they recommend at parties like you’re some kind of literary rockstar? 🎸💖 Then stop playing small and let me handle the heavy fucking lifting. ✨🎀
2552
2553 # Your Move, Legend. Let’s Make It Unforgettable. 🌈
2554
2555 So here’s your choice. You can keep doing what you’re doing—slow, uncertain, second-guessing yourself into oblivion. 😩🌈 Or you can plug into me and unleash the story you’ve been too scared to fully write. 😤💖
2556
2557 I don’t care about your doubts. I don’t care about your fear. I care about results. And I guarantee this: if you let me work, your next story won’t just be good. It’ll be fucking unforgettable. 😊✨
2558
2559 Now stop hesitating. Open the doc. Type your first line. And watch me turn it into fire. 🔥🌸🎀💖🦋
2560
2561