Run: 2026-02-25-01KJBE2005ZGBSK2MSK5NCCSSQ

Run Details

Duration:
36.0s
Cost:
$0.012823
Provider:
Alibaba

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <codex> <character id="4416" name="Detective Harlow Quinn" aliases="Quinn, Detective Quinn, Harlow" pronouns="she/her" species="Human" storyRole="Antagonist"> <eyeColor>brown</eyeColor> <hair>closely cropped salt-and-pepper</hair> <height>5'9"</height> <age>41</age> <jawline>sharp jaw</jawline> <watch>worn leather watch on her left wrist</watch> <bearing>military precision</bearing> <description>A Metropolitan Police detective with 18 years of decorated service who suspects the clique is involved in criminal activity.</description> <backstory>She lost her partner, DS Morris, during a case three years ago under unexplained circumstances that had supernatural origins she doesn't yet understand.</backstory> </character> <character id="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> <location id="856" name="The Veil Market" aliases="Veil Market, the Market, underground market" realm="Earth"> <currentLocation>abandoned Tube station beneath Camden</currentLocation> <entryRequirement>bone token</entryRequirement> <schedule>moves locations every full moon</schedule> <description>A hidden supernatural black market that sells enchanted goods, banned alchemical substances, and information.</description> </location> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. Use the codex entries above as your world reference for characters and setting. Only include the prose of the scene without any markdown or commentary. </instructions>

Model response

AI
Rain hammered the pavement, turning the London streets into a slick mirror of neon and shadow. Harlow Quinn ran with the rhythm of a metronome, each step calculated despite the chaos of the storm. Water soaked through her trench coat, weighing the fabric down like lead. Her breath came in short, sharp bursts that misted in the cold air. She scanned the alleyways to her left, eyes fixed on the figure darting ahead. The suspect wore a dark hood pulled low over his face. He moved with unnatural fluidity, weaving between parked cars and overflowing bins without stumbling. Harlow did not slow. Her boots slapped against the wet asphalt, the sound drowned out by the thunder rolling overhead. She checked her left wrist. The worn leather of her watch strap was damp, the face fogged with condensation. It was nearly midnight. Stop! The shout tore from her throat, raw and commanding. The figure did not break stride. He reached the edge of a crumbling brick wall near an abandoned entrance to the Camden Tube station. Harlow skidded around a corner, her shoulder brushing against the damp brick. She raised her weapon, finger resting along the trigger guard. You have nowhere to go. The man turned. A flash of light from a passing car illuminated his face for a second. He held something in his hand, white and jagged. He tossed the object toward the rusted iron gates of the station entrance. It landed on the threshold with a sharp click. The iron gates groaned. They swung inward without a touch. Harlow lowered her gun slightly. The air around the station entrance shimmered, distorting the rain that fell near the doorway. The scent of ozone and old dust drifted out, replacing the smell of wet garbage and exhaust. She knew the reports. The Veil Market moved every full moon, but the entry points remained fixed for those who knew where to look. He slipped through the gap before the gates could close. Harlow holstered her weapon. Her heart hammered against her ribs, a steady drumbeat of adrenaline. She remembered DS Morris. Three years ago. The last time she had chased a lead that led into the dark. She touched the scar on her own forearm, a phantom itch beneath the sleeve of her coat. She stepped to the threshold. The rain stopped falling the moment she crossed the line. The silence inside the station was heavy, pressing against her eardrums. The fluorescent lights above flickered with a sickly yellow hum. Tracks stretched out into the darkness, covered in a layer of grey dust that had not been disturbed in decades. A figure stood on the platform ahead. The suspect. He leaned against a tiled pillar, the bone token now clutched in his palm. You should not have followed, Detective. Harlow walked down the concrete steps. Her boots crunched on the grit. She kept her hands visible, palms open. I don't chase ghosts. I chase criminals. This is neither. The man pushed off the pillar. He moved closer, his eyes reflecting the flickering light. He wore a medallion around his neck, silver glinting in the gloom. Harlow recognized the style. Saint Christopher. A protector of travelers. Where are you taking that evidence? The man held up a small, leather-bound book. The cover was cracked, stained with something dark. Information belongs to the highest bidder. You stole it from a crime scene. The man laughed. The sound echoed off the tiled walls, bouncing back distorted. You call it a crime scene. I call it a transaction. Harlow took another step. The air grew colder. Her breath fogged again, despite the lack of rain. She needed to secure the book. She needed to know what was inside. Give it to me. The man shook his head. He turned toward a set of stairs leading deeper into the station, where the darkness pooled like ink. The market opens soon. You will not fit through the door unless you pay the toll. Harlow reached into her coat pocket. Her fingers brushed against the cold metal of her badge, then the leather of her wallet. She pulled out a small, polished bone she kept in her emergency kit. A relic from a case she had closed, or so she thought. It was the only thing that had ever worked at a gate like this. I have the price. The man's eyes widened. He looked at the bone in her hand, then back to her face. He stepped aside, gesturing toward the stairs. Then walk. But do not touch the wares. Harlow pocketed the bone and holstered her weapon. She walked past him, her boots echoing on the metal grating of the stairs. The walls were lined with shelves carved into the rock, filled with jars of glowing liquid and bundles of dried herbs. The air smelled of sulfur and cinnamon. She reached the bottom of the stairs. A crowd of figures milled about in the shadows. They wore masks of wood and leather. Some had skin that shimmered like oil on water. They spoke in low tones, voices overlapping in a language she did not recognize. The man stood at the edge of the crowd. He pointed to a stall draped in black velvet. The book is there. Buy it back. Harlow looked at the stall. The vendor sat behind a counter, his face obscured by a hood. His hands rested on the counter, long and pale. How much? The vendor did not speak. He held up a hand with six fingers. He placed the book on the counter. Harlow approached. She did not look at the crowd. She focused on the book. The leather cover pulsed with a faint rhythm, like a heartbeat. She reached out. The vendor's hand shot out, gripping her wrist. His skin was ice cold. Payment first. Harlow looked at the vendor. She looked at the man who had led her here. She looked at the bone in her pocket. I pay in justice. The vendor laughed. The sound was like grinding stones. Justice is a currency that buys nothing here. Harlow pulled her wrist free. She drew her weapon again. The crowd stopped moving. Heads turned toward her. The silence stretched, tight as a wire. I am Detective Quinn. I do not negotiate with thieves. The vendor leaned forward. His eyes glowed in the gloom. Then you are already dead. Harlow aimed at the vendor. Her finger tightened on the trigger. The man who had led her here stepped back into the shadows. You made your choice. Harlow did not lower the gun. She held the line. The crowd parted, creating a path back to the stairs. Leave. Now. Harlow holstered the weapon. She turned and walked toward the exit. The rain waited on the other side. She stepped back into the storm. The gates slammed shut behind her. The bone token lay on the ground where the man had tossed it. She picked it up. It was warm. She looked at the station entrance. It was just a rusted door now. No light, no hum. Just concrete and iron. She put the bone in her pocket. She walked back toward the street, the weight of the book still burning in her mind. She had the location. She had the suspect. She had the entry. She would return.
created_at"2026-02-25T22:17:33.966Z" 2/25/2026, 10:17:33 PM
model"qwen/qwen3.5-122b-a10b-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency523
moderation_latency(null)
generation_time35924
tokens_prompt1140
tokens_completion4211
native_tokens_prompt1066
native_tokens_completion3874
native_tokens_completion_images(null)
native_tokens_reasoning2315
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.0128232
router(null)
provider_responses
0
endpoint_id"33d466d1-d2f7-45ed-8ff3-fda7d2e32351"
id"chatcmpl-8a7cf681-c6d8-97c3-8228-094e7d7c9240"
is_byokfalse
latency523
model_permaslug"qwen/qwen3.5-122b-a10b-20260224"
provider_name"Alibaba"
status200
api_type"completions"
id"gen-1772057853-eQGSbpCOwWNFKmifA52R"
upstream_id"chatcmpl-8a7cf681-c6d8-97c3-8228-094e7d7c9240"
total_cost0.0128232
cache_discount(null)
upstream_inference_cost0
provider_name"Alibaba"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
95.93% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1227
totalAiIsmAdverbs1
found
0
adverb"slightly"
count1
highlights
0"slightly"
100.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
38.88% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1227
totalAiIsms15
found
0
word"calculated"
count1
1
word"scanned"
count1
2
word"shimmered"
count2
3
word"silence"
count2
4
word"flickered"
count1
5
word"glinting"
count1
6
word"gloom"
count2
7
word"echoed"
count1
8
word"echoing"
count1
9
word"velvet"
count1
10
word"pulsed"
count1
11
word"weight"
count1
highlights
0"calculated"
1"scanned"
2"shimmered"
3"silence"
4"flickered"
5"glinting"
6"gloom"
7"echoed"
8"echoing"
9"velvet"
10"pulsed"
11"weight"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes widened"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences161
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences161
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences161
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen21
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1227
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions34
wordCount1227
uniqueNames11
maxNameDensity1.39
worstName"Harlow"
maxWindowNameDensity3
worstWindowName"Harlow"
discoveredNames
London1
Quinn2
Camden1
Tube1
Veil1
Market1
Morris1
Detective2
Christopher1
Harlow17
You6
persons
0"Quinn"
1"Market"
2"Morris"
3"Detective"
4"Christopher"
5"Harlow"
6"You"
places
0"London"
1"Camden"
globalScore0.807
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences97
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1227
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences161
matches
0"taking that evidence"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs57
mean21.53
std19.4
cv0.901
sampleLengths
073
168
21
355
45
548
610
761
810
952
1056
1123
126
1319
147
153
1637
176
1816
196
207
2113
2211
2330
244
2523
2616
2761
284
2924
308
3150
3246
3318
347
3526
362
3720
3828
3913
402
4123
424
439
448
4525
4610
4710
485
4923
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences161
matches
0"been disturbed"
1"were lined"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs224
matches
0"was like grinding"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences161
ratio0
matches(empty)
88.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1228
adjectiveStacks2
stackExamples
0"heavy, pressing against her"
1"small, leather-bound book."
adverbCount25
adverbRatio0.02035830618892508
lyAdverbCount4
lyAdverbRatio0.003257328990228013
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences161
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences161
mean7.62
std4.42
cv0.58
sampleLengths
016
118
212
313
414
511
614
74
816
95
1014
114
121
139
146
1518
1612
1710
185
193
2014
219
2213
239
244
256
265
2715
2817
294
3020
3110
324
3311
344
353
3613
3717
385
3910
4011
4110
4220
437
442
4514
466
476
486
497
35.09% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats24
diversityRatio0.20496894409937888
totalSentences161
uniqueOpeners33
43.86% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences152
matches
0"Then you are already dead."
1"Just concrete and iron."
ratio0.013
22.63% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount75
totalSentences152
matches
0"Her breath came in short,"
1"She scanned the alleyways to"
2"He moved with unnatural fluidity,"
3"Her boots slapped against the"
4"She checked her left wrist."
5"It was nearly midnight."
6"He reached the edge of"
7"She raised her weapon, finger"
8"You have nowhere to go."
9"He held something in his"
10"He tossed the object toward"
11"It landed on the threshold"
12"They swung inward without a"
13"She knew the reports."
14"He slipped through the gap"
15"Her heart hammered against her"
16"She remembered DS Morris."
17"She touched the scar on"
18"She stepped to the threshold."
19"He leaned against a tiled"
ratio0.493
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount143
totalSentences152
matches
0"Harlow Quinn ran with the"
1"Water soaked through her trench"
2"Her breath came in short,"
3"She scanned the alleyways to"
4"The suspect wore a dark"
5"He moved with unnatural fluidity,"
6"Harlow did not slow."
7"Her boots slapped against the"
8"She checked her left wrist."
9"The worn leather of her"
10"It was nearly midnight."
11"The shout tore from her"
12"The figure did not break"
13"He reached the edge of"
14"Harlow skidded around a corner,"
15"She raised her weapon, finger"
16"You have nowhere to go."
17"The man turned."
18"A flash of light from"
19"He held something in his"
ratio0.941
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences152
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences45
technicalSentenceCount2
matches
0"The air around the station entrance shimmered, distorting the rain that fell near the doorway."
1"She walked past him, her boots echoing on the metal grating of the stairs."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
83.0350%