Run: 2026-04-27-01KQ774RH5VKA1MWQ3Y19JY85X

Run Details

Duration:
36.9s
Cost:
$0.008262
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 hammered the asphalt, turning London’s night into a shifting mosaic of shattered neon and slick black stone. Harlow Quinn didn’t break stride. Her boots met the wet pavement with the same measured cadence they had for eighteen years. Military precision in the way she cut through crosswalks, shoulders square, spine straight, breath controlled despite the sprint. The suspect, some lean courier with a damp duffel and a head start, ducked under a bus shelter and vanished into a narrow service alley. Harlow followed. She checked her left wrist. The worn leather strap of her watch dug into her pulse point. 11:42 PM. Three years since DS Morris fell into the static, three years since the file closed with a cause listed as undetermined, though neither of them had believed it. The paperwork couldn’t explain what took him. Only the fringe networks, the underground clinics, the whispered names of things that moved in the spaces between streetlights. And now she had a thread. A name lifted from a burner phone, a lead on the clique that had been bleeding information through the capital’s seams. Now he was running toward Camden, and Harlow was right behind him. The alley opened to a steep concrete stairwell half-buried in the pavement, concealed behind a rusted maintenance door. No official markings. No police cordon. Just descending into damp stone and the low hum of discarded electricity. The suspect didn’t hesitate. He dropped down, vanished into the gloom. Harlow stopped at the threshold. The air below smelled of wet masonry, ozone, and something coppery beneath it, like old blood and crushed herbs. Rain slicked her closely cropped salt-and-pepper hair, dripping down her sharp jaw. She should call it in. Radio the backup she’d deliberately left off the channel. Protocol demanded she secure the perimeter, wait for a team, treat this as a potential ambush. But Morris’s face surfaced unbidden. The rain in his trench coat. The way he hadn’t bled out so much as faded, leaving only an empty radio channel and a cold body. She descended. The stairs opened into a cavernous space that had once been an abandoned Tube station. The tiled walls were darkened with decades of grime and water stains, but the cavern now pulsed with an artificial twilight. Tension wires strung with mismatched bulbs cast long, distorted shadows over stalls carved from reclaimed shipping crates, overturned benches, and rusted maintenance carts. This was The Veil Market. The name meant nothing in any police database, but the signs written in chalk and spray paint spoke clearly enough: *Alchemical reagents, restricted, do not resell. Tinctures, wards, information.* The air hummed with low conversation, the clink of glass, the rustle of parchment, and the steady drip of condensation from rusted pipes overhead. It moved every full moon, they said, but tonight it sat beneath Camden like a buried lung. She moved along the periphery, keeping to the shadows. The suspect was gone, swallowed by the crowd. Harlow’s eyes scanned the merchants. Not police. Not civilians. Too deliberate. A woman with fingers stained indigo measured drops into a vial that smoked without heat. A man in a waxed coat sold carved bone charms from a velvet tray. Somewhere behind a curtain of beaded glass, a gramophone wheezed a jazz standard too slow for this pace. The place was a living archive of things the law didn’t officially acknowledge. A figure emerged from a deeper archway and stepped into Harlow’s field of view. Tall, olive skin darkened by moisture, short curly hair plastered to his forehead. A tarnished Saint Christopher medallion swung against his chest. His left forearm bore a silvery ridge of scar tissue, pale against his tan. He moved with the quiet efficiency of a man used to triage, not theft. Tomás Herrera. She’d pulled his file three times. NHS suspended. Unauthorized treatments. Supernatural patients. He ran an off-the-books clinic for people like the ones who haunted her nightmares, and he knew exactly where she was. He caught her eye. Didn’t flinch. Just lifted a hand, palm open, and gestured to a wrought-iron turnstile half-hidden behind a tapestry of faded maps. Harlow’s jaw tightened. She followed his gaze past the turnstile to a small brass plate bolted to the stone. An inscription: *Bone token required at threshold.* Her pulse kicked up, steadying her breath. A toll. Or a test. Behind her, deeper in the station, a familiar silhouette slipped between two stalls. The suspect. He didn’t look back. Harlow stood at the threshold, rainwater dripping from her trench coat onto the tiled floor. The market breathed around her, a ecosystem of secrets and contraband. She had eighteen years of decorated service, a badge, and a mandate to bring suspects in under the law. This place operated on a different jurisdiction. No cameras. No witnesses. Just bone tokens and whispered oaths. If she crossed over without the toll, the merchants would shut her down. Or worse, they would remember her name, mark her, and the lead would turn to ash. If she went back, the trail would dissolve in the rain. Morris’s memory would remain an open wound. Herrera stepped forward, his voice low, cutting through the ambient murmur. “You don’t look like you’re here for the remedies, Detective.” Harlow didn’t answer. Her hand hovered near her sidearm. Not a threat. A habit. “Where did you go?” “Past the token.” He nodded toward the turnstile. “Or I could have signaled you to retreat. You’d have saved yourself the trouble.” “I don’t do trouble,” she said, though her voice lacked its usual steel. “I do justice.” “Justice doesn’t move underground.” Herrera’s eyes flicked to the turnstile, then back to her. “You’re looking for something. Or someone. The clique pays well for silence. They pay better to keep it. You’re chasing a ghost, Harlow. Ghosts don’t bleed. They don’t leave fingerprints. They just take.” The rain echoed in the tunnels above. Distant sirens were swallowed by the stone. Harlow’s thumb brushed the worn leather of her watch. All the years she’d chased paper trails and foregone the dark. Now the dark had a name, and it was walking away. She reached into her coat pocket. Fingers closed around a small evidence bag. Inside rested a human molar, collected from a scene that didn’t make it into the official report. A souvenir from the Morris case. A fragment of a ritual she still couldn’t piece together, but something in the market’s atmosphere told her it would suffice. Herrera watched her. He knew what it was. Everyone down here did. “That’s not how it works,” he said quietly. “The market doesn’t take relics. It takes offerings.” Harlow’s breath caught. The plastic crinkled in her grip. “I’m not offering it to a shopkeeper.” “No,” Herrera agreed. “You’re offering it to the dark. There’s a difference.” Above them, a train announcement crackled through a rusted speaker, distorted by decades of water damage. The sound vibrated through the soles of her boots. The suspect was further in now. Harlow could see his silhouette near an archway draped in heavy canvas. He was heading for the deeper levels. The part where alchemical substances traded hands like currency and information was bought with secrets. She stepped forward. The crowd parted instinctively, sensing the weight of her presence, the rigidity of her stance. Herrera didn’t block her. He just watched, his hands loose at his sides, the Saint Christopher medallion catching the dim light. “You know what happens when you cross the line, Quinn,” he said. It wasn’t a warning. It was a statement of fact. “You stop asking questions with answers in the newspaper. You start carrying questions that don’t have one. You step outside the jurisdiction you know, and you might not step back into it.” Harlow reached into her pocket. Slotted the tooth into the narrow iron slit beside the turnstile. The mechanism clicked. A sound like a rifle bolt closing. The gate swung inward without resistance. Beyond it, the corridor narrowed. The air grew colder, thicker, smelling of crushed myrrh, old copper, and damp stone. Harlow Quinn stepped across the threshold. Her boots made no sound on the tile. Her jaw set. Her brown eyes fixed on the canvas archway. She didn’t look back. The rain above was a memory. The law was a shell she’d stepped out of. All that remained was the pursuit. Behind her, Herrera exhaled slowly, the sound lost in the hum of the station. “God help us,” he murmured, though whether he meant himself or her, she wouldn’t know, and she wouldn’t ask. Harlow pushed through the curtain. The market swallowed her whole. She moved forward, shoulders squared, breath steady, cutting through the dim light like a blade. The suspect was gone, but the trail was still warm. She followed it into the deep, into the quiet dark where the city’s secrets waited to be dug up.
created_at"2026-04-27T10:18:15.981Z" 4/27/2026, 10:18:15 AM
model"qwen/qwen3.6-flash"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency630
moderation_latency(null)
generation_time36859
tokens_prompt914
tokens_completion6190
native_tokens_prompt870
native_tokens_completion5363
native_tokens_completion_images(null)
native_tokens_reasoning3391
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"
usage0.008262
router(null)
provider_responses
0
endpoint_id"2435bec9-c808-4f27-9fc8-12f3460d7b66"
id"chatcmpl-90fc8e5f-4f0c-9a07-b054-296b1c90ecf4"
is_byokfalse
latency630
model_permaslug"qwen/qwen3.6-flash"
provider_name"Alibaba"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777285095-lsej8fXwXYJDnazUUmLP"
session_id(null)
api_type"completions"
id"gen-1777285095-vmp0gRChEmt0LD9aU7sb"
upstream_id"chatcmpl-90fc8e5f-4f0c-9a07-b054-296b1c90ecf4"
total_cost0.008262
cache_discount(null)
upstream_inference_cost0
provider_name"Alibaba"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
75.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags7
adverbTagCount1
adverbTags
0"he said quietly [quietly]"
dialogueSentences16
tagDensity0.438
leniency0.875
rawRatio0.143
effectiveRatio0.125
93.25% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1482
totalAiIsmAdverbs2
found
0
adverb"deliberately"
count1
1
adverb"slowly"
count1
highlights
0"deliberately"
1"slowly"
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)
29.15% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1482
totalAiIsms21
found
0
word"mosaic"
count1
1
word"shattered"
count1
2
word"measured"
count2
3
word"pulse"
count2
4
word"gloom"
count1
5
word"potential"
count1
6
word"pulsed"
count1
7
word"tension"
count1
8
word"database"
count1
9
word"scanned"
count1
10
word"velvet"
count1
11
word"standard"
count1
12
word"tapestry"
count1
13
word"familiar"
count1
14
word"flicked"
count1
15
word"silence"
count1
16
word"echoed"
count1
17
word"vibrated"
count1
18
word"weight"
count1
highlights
0"mosaic"
1"shattered"
2"measured"
3"pulse"
4"gloom"
5"potential"
6"pulsed"
7"tension"
8"database"
9"scanned"
10"velvet"
11"standard"
12"tapestry"
13"familiar"
14"flicked"
15"silence"
16"echoed"
17"vibrated"
18"weight"
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
narrationSentences142
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences142
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences151
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen33
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans2
markdownWords14
totalWords1482
ratio0.009
matches
0"Alchemical reagents, restricted, do not resell. Tinctures, wards, information."
1"Bone token required at threshold."
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions11
unquotedAttributions1
matches
0"It moved every full moon, they said, but tonight it sat beneath Camden like a buried lung."
93.69% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions38
wordCount1332
uniqueNames11
maxNameDensity1.13
worstName"Harlow"
maxWindowNameDensity2
worstWindowName"Harlow"
discoveredNames
London1
Quinn2
Morris4
Camden2
Harlow15
Tube1
Veil1
Market1
Saint2
Christopher2
Herrera7
persons
0"Quinn"
1"Morris"
2"Harlow"
3"Market"
4"Saint"
5"Christopher"
6"Herrera"
places
0"London"
globalScore0.937
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences92
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1482
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences151
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs32
mean46.31
std35.85
cv0.774
sampleLengths
084
1112
2113
331
42
5134
688
799
851
912
1019
11109
1221
1318
1422
1516
1647
1745
1857
1912
2016
2116
2212
2365
2439
2554
2616
2710
2850
2925
3033
3154
92.91% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences142
matches
0"were darkened"
1"was gone"
2"were swallowed"
3"was bought"
4"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs224
matches
0"was running"
1"was walking"
2"was heading"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences151
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1339
adjectiveStacks0
stackExamples(empty)
adverbCount29
adverbRatio0.021657953696788648
lyAdverbCount11
lyAdverbRatio0.008215085884988798
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences151
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences151
mean9.81
std6.75
cv0.688
sampleLengths
018
15
216
318
425
52
65
712
82
928
107
1119
126
1321
1412
1518
163
173
1812
194
207
215
2219
2312
245
259
2616
275
286
2920
302
3115
3221
3323
345
3526
3627
3717
389
398
405
412
422
432
4415
4514
4618
4713
4814
4913
49.23% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.3509933774834437
totalSentences151
uniqueOpeners53
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount6
totalSentences124
matches
0"Only the fringe networks, the"
1"Just descending into damp stone"
2"Somewhere behind a curtain of"
3"Just lifted a hand, palm"
4"Just bone tokens and whispered"
5"All that remained was the"
ratio0.048
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount33
totalSentences124
matches
0"Her boots met the wet"
1"She checked her left wrist."
2"He dropped down, vanished into"
3"She should call it in."
4"It moved every full moon,"
5"She moved along the periphery,"
6"His left forearm bore a"
7"He moved with the quiet"
8"She’d pulled his file three"
9"He ran an off-the-books clinic"
10"He caught her eye."
11"She followed his gaze past"
12"Her pulse kicked up, steadying"
13"He didn’t look back."
14"She had eighteen years of"
15"Her hand hovered near her"
16"He nodded toward the turnstile"
17"she said, though her voice"
18"She reached into her coat"
19"He knew what it was."
ratio0.266
68.87% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount97
totalSentences124
matches
0"Harlow Quinn didn’t break stride."
1"Her boots met the wet"
2"Military precision in the way"
3"The suspect, some lean courier"
4"She checked her left wrist."
5"The worn leather strap of"
6"The paperwork couldn’t explain what"
7"A name lifted from a"
8"The alley opened to a"
9"The suspect didn’t hesitate."
10"He dropped down, vanished into"
11"Harlow stopped at the threshold."
12"The air below smelled of"
13"Rain slicked her closely cropped"
14"She should call it in."
15"Radio the backup she’d deliberately"
16"Protocol demanded she secure the"
17"The rain in his trench"
18"The way he hadn’t bled"
19"The stairs opened into a"
ratio0.782
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount4
totalSentences124
matches
0"Now he was running toward"
1"If she crossed over without"
2"If she went back, the"
3"Now the dark had a"
ratio0.032
90.91% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences55
technicalSentenceCount4
matches
0"Only the fringe networks, the underground clinics, the whispered names of things that moved in the spaces between streetlights."
1"The stairs opened into a cavernous space that had once been an abandoned Tube station."
2"He ran an off-the-books clinic for people like the ones who haunted her nightmares, and he knew exactly where she was."
3"Inside rested a human molar, collected from a scene that didn’t make it into the official report."
53.57% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount1
matches
0"she said, though her voice lacked its usual steel"
25.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount2
fancyTags
0"Herrera agreed (agree)"
1"he murmured (murmur)"
dialogueSentences16
tagDensity0.313
leniency0.625
rawRatio0.4
effectiveRatio0.25
89.0528%