Run: 2026-04-27-01KQ70J246SWZXQHFATSPC6T82

Run Details

Duration:
1m 39s
Cost:
$0.015943
Provider:
Alibaba

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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> 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.

Model response

AI
Rain fell in cold needled sheets across Camden High Street. Detective Harlow Quinn did not slow her pace. Her boots struck the slick asphalt with measured thuds, every step calibrated by eighteen years of service to the Metropolitan Police and a spine tempered by military precision. Her breath plumed in the damp air, controlled despite the sprint. Up ahead, a shadow detached itself from the mouth of a service alley, turning with the frantic grace of a cornered animal. Quinn’s hand drifted to her holster. She kept her center low, shoulders squared, eyes fixed on the fleeing figure. The streetlamp’s amber bleed caught the suspect mid-stride. Short curly dark brown hair plastered to a skull that turned just enough to reveal a warm brown eye, a flash of olive skin, and a Saint Christopher medallion swinging against a narrow chest. Tomás Herrera. The name surfaced in her mind like a pulled tooth. Twenty-nine years old. Born in Seville. Former NHS paramedic turned underground stitcher. She had his file memorized. She also knew he moved in circles that operated beyond the reach of handcuffs and paper trails. She pushed harder. The rain soaked through her jacket, plastering her closely cropped salt-and-pepper hair to her scalp. Water ran in cold rivulets down her sharp jawline. Her left wrist caught the ambient light: a worn leather watch, its face cracked, ticking a steady rhythm against her pulse. She did not check the time. She used the sensation to ground herself. Eighteen years of chasing men who knew how to disappear taught you to trust your body before your eyes. Herrera ducked past a towering brick wall adorned with peeling posters and the flickering green neon sign of a bar called the Raven’s Nest. The sign buzzed like an angry insect, casting emerald streaks across the wet pavement. Quinn knew the place. Silas owned it. The walls inside were supposedly lined with old maps and black-and-white photographs, but Quinn cared about the rumors of a hidden back room accessible through a sliding bookshelf. A place for people who needed rooms that did not exist on blueprints. Herrera did not stop at the entrance. He slipped into a narrow gap between the brickwork and a rusted dumpster, vanishing into the gloom. Quinn followed. Her shoulder brushed damp stone as she squeezed through the gap. The rain faded to a distant drumbeat. The air grew heavy, tasting of wet concrete and ozone. A chain-link fence blocked the path, sagging on rusted hinges and secured with a padlock that had long since forfeited its bite. Herrera had not bothered with the lock. He had slipped through a jagged tear in the mesh. Quinn drew her pocketknife, sliced the weakened wire, and pushed through. Her boots sank into mud. The ground sloped sharply downward, following the contour of a forgotten service tunnel. Concrete walls wept condensation. Faded blue tiles gave way to peeling paint. An old sign bolted to a rusted bracket read Camden Town in chipped white lettering. Next Stop. The words were a relic. The lines below the city had been rerouted decades ago, leaving this hollow behind to collect water and silence. The tunnel opened into a cavernous space where platforms once held commuters. Now they held stalls. Tarps draped over wooden crates. Lanterns hung from rusted steel beams, their flames burning with an unnatural steadiness. The smell hit her first. Crushed mint, ozone, copper, something sweet and rotting like overripe plums. Quinn killed her flashlight. She pressed flat against a support pillar, rainwater dripping from her hair into her eyes. She did not blink. Below her, the abandoned Tube station had been reborn. Figures moved through the gloom. Cloaked vendors stood behind tables laden with curved glass vials, bundles of dried roots, and metal instruments that caught the lantern light. A merchant in a leather apron weighed a handful of dark stones against brass scales. Another offered wrapped parcels that hummed with a faint vibration. Quinn’s gloved fingers found the worn edge of her leather watch. She twisted the strap, a nervous habit that had become a grounding ritual since the warehouse three years ago. Since Morris fell. Since his chest caved in with no weapon in sight and the brass called it a tragic slip down concrete stairs. Since they buried the evidence, buried the case, and buried the truth underneath a mountain of bureaucratic indifference. Herrera’s silhouette appeared at a lower stall near the platform edge. He spoke to a hooded figure, gesturing toward a canvas satchel. The figure nodded, reaching into a crate marked with a chalk sigil. Quinn shifted her weight. Her right hand found the grip of her service revolver. The steel was cold. Familiar. She could call it in. She could back out, report the coordinates, let the brass decide whether to risk officers in a place that traded in poisons and whispers. The radio on her shoulder radio crackled with dead air. She had killed the transmission an hour ago. Discipline. If she brought a squad down here, they would panic. They would fire at shadows. They would die like Morris died, without understanding what cut them down. But if she went down alone, she crossed a line she had sworn never to cross. No more badges as shields. No more chain of command. Just her, the dark, and a market that moved every full moon, that required bone tokens for entry, that existed because the daylight world needed somewhere to dump its nightmares. She looked down at the rusted turnstile. Knuckle-bones, drilled and strung, lay scattered across the concrete like discarded candy. Payment and permission. A threshold. Herrera turned away from the stall, tucking the satchel under his arm. He began to move toward a stairwell that led deeper into the tunnel network. Quinn’s heart hammered against her ribs. Eighteen years of training warred with three years of grief. The Met taught her to secure the perimeter. To wait for backup. To follow procedure. Procedure had not saved Morris. Procedure had buried him. Her fingers tightened on her weapon. The rain dripped from the ceiling, pooling around her boots. She could hear the murmur of haggling below, the clink of glass, the low thrum of something that vibrated in her teeth. The clique was moving something tonight. Something that required off-book medics and hidden markets and men who vanished into concrete tombs. If she let him pass, the trail went cold again. If she followed, she stepped into the dark without a net. She unclipped the radio from her shoulder strap. Pressed the transmit button. Listened to the silence. Then she slid it back into her holster. Her boots shifted on the wet concrete. The railings groaned under her grip as she descended. Each step was a calculation. Weight distribution. Breath control. Sightlines. The market’s noise swelled around her, a murmur of voices that spoke in clipped phrases and hushed tones. She caught the glint of Herrera’s medallion again as he disappeared through a curtain of heavy beads. Quinn touched the scar on her own left wrist, a souvenir from a knife fight in Manchester that never made the official report. Pain was a compass. It pointed forward. She stepped through the curtain. The air changed instantly, thick and warm, smelling of ozone and crushed mint. Vendors turned their heads in unison. Eyes met eyes. No sirens whined. No backup arrived. Just the weight of the revolver, the ticking of the watch, and the long drop into the dark.
created_at"2026-04-27T08:23:11.757Z" 4/27/2026, 8:23:11 AM
model"qwen/qwen3.5-plus-20260420"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1050
moderation_latency(null)
generation_time98504
tokens_prompt914
tokens_completion7523
native_tokens_prompt870
native_tokens_completion6498
native_tokens_completion_images(null)
native_tokens_reasoning4916
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.0159432
router(null)
provider_responses
0
endpoint_id"8b4a0fbb-6705-4f8d-a7f1-ad18ecc0edbc"
id"chatcmpl-146f750f-d7c5-9e52-aa20-eae870371e81"
is_byokfalse
latency1050
model_permaslug"qwen/qwen3.5-plus-20260420"
provider_name"Alibaba"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777278191-qSqvPtUa5ZxAxQMdaGdl"
session_id(null)
api_type"completions"
id"gen-1777278191-waAOFsVtYD4UslidYeVF"
upstream_id"chatcmpl-146f750f-d7c5-9e52-aa20-eae870371e81"
total_cost0.0159432
cache_discount(null)
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provider_name"Alibaba"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
96.01% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1253
totalAiIsmAdverbs1
found
0
adverb"sharply"
count1
highlights
0"sharply"
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)
48.12% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1253
totalAiIsms13
found
0
word"measured"
count1
1
word"calibrated"
count1
2
word"pulse"
count1
3
word"gloom"
count2
4
word"silence"
count2
5
word"weight"
count3
6
word"familiar"
count1
7
word"vibrated"
count1
8
word"glint"
count1
highlights
0"measured"
1"calibrated"
2"pulse"
3"gloom"
4"silence"
5"weight"
6"familiar"
7"vibrated"
8"glint"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences127
matches(empty)
97.86% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount1
narrationSentences127
filterMatches
0"watch"
1"decide"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences127
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen34
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1253
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions41
wordCount1253
uniqueNames20
maxNameDensity0.88
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Camden2
High1
Street1
Harlow1
Quinn11
Metropolitan1
Police1
Saint1
Christopher1
Herrera7
Seville1
Raven1
Nest1
Town1
Stop1
Tube1
Morris3
Met1
Manchester1
Since3
persons
0"Harlow"
1"Quinn"
2"Saint"
3"Christopher"
4"Herrera"
5"Raven"
6"Morris"
7"Met"
8"Since"
places
0"Camden"
1"High"
2"Street"
3"Metropolitan"
4"Seville"
5"Town"
6"Manchester"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences82
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1253
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences127
matches(empty)
25.26% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs6
mean208.83
std49.79
cv0.238
sampleLengths
0186
1190
2151
3206
4208
5312
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences127
matches
0"been rerouted"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs211
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences127
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1262
adjectiveStacks1
stackExamples
0"paramedic turned underground stitcher."
adverbCount23
adverbRatio0.018225039619651346
lyAdverbCount5
lyAdverbRatio0.003961965134706815
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences127
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences127
mean9.87
std6.86
cv0.695
sampleLengths
010
18
228
311
422
56
613
78
834
92
1010
113
123
136
145
1517
163
1715
189
1921
206
217
2219
2324
2414
254
263
2728
2813
297
3017
312
3211
337
3410
3522
367
3710
3811
395
4013
414
428
4315
442
455
4619
4712
484
495
57.48% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats17
diversityRatio0.4251968503937008
totalSentences127
uniqueOpeners54
84.75% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences118
matches
0"Just her, the dark, and"
1"Then she slid it back"
2"Just the weight of the"
ratio0.025
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount32
totalSentences118
matches
0"Her boots struck the slick"
1"Her breath plumed in the"
2"She kept her center low,"
3"She had his file memorized."
4"She also knew he moved"
5"She pushed harder."
6"Her left wrist caught the"
7"She did not check the"
8"She used the sensation to"
9"He slipped into a narrow"
10"Her shoulder brushed damp stone"
11"He had slipped through a"
12"Her boots sank into mud."
13"She pressed flat against a"
14"She did not blink."
15"She twisted the strap, a"
16"He spoke to a hooded"
17"Her right hand found the"
18"She could call it in."
19"She could back out, report"
ratio0.271
91.36% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount87
totalSentences118
matches
0"Rain fell in cold needled"
1"Detective Harlow Quinn did not"
2"Her boots struck the slick"
3"Her breath plumed in the"
4"Quinn’s hand drifted to her"
5"She kept her center low,"
6"The streetlamp’s amber bleed caught"
7"The name surfaced in her"
8"She had his file memorized."
9"She also knew he moved"
10"She pushed harder."
11"The rain soaked through her"
12"Water ran in cold rivulets"
13"Her left wrist caught the"
14"She did not check the"
15"She used the sensation to"
16"Herrera ducked past a towering"
17"The sign buzzed like an"
18"Quinn knew the place."
19"Silas owned it."
ratio0.737
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount6
totalSentences118
matches
0"Now they held stalls."
1"If she brought a squad"
2"To wait for backup."
3"To follow procedure."
4"If she let him pass,"
5"If she followed, she stepped"
ratio0.051
58.11% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences59
technicalSentenceCount7
matches
0"Eighteen years of chasing men who knew how to disappear taught you to trust your body before your eyes."
1"A chain-link fence blocked the path, sagging on rusted hinges and secured with a padlock that had long since forfeited its bite."
2"Cloaked vendors stood behind tables laden with curved glass vials, bundles of dried roots, and metal instruments that caught the lantern light."
3"She twisted the strap, a nervous habit that had become a grounding ritual since the warehouse three years ago."
4"Just her, the dark, and a market that moved every full moon, that required bone tokens for entry, that existed because the daylight world needed somewhere to du…"
5"She could hear the murmur of haggling below, the clink of glass, the low thrum of something that vibrated in her teeth."
6"Something that required off-book medics and hidden markets and men who vanished into concrete tombs."
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
91.7650%