Run: 2026-04-27-01KQ779N1R4TV4MWAHCAN80Y7R

Run Details

Duration:
3m 6s
Cost:
$0.042058
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 hard, slanting sheets, turning Soho’s cobblestones into a black mirror. Harlow Quinn’s boots struck the pavement with metronomic force, each step calibrated, each breath measured. At five foot nine, she cut through the downpour with a bearing that never quite shed its parade-ground discipline, even when her lungs burned and the cold seeped into her joints. Eighteen years on the Metropolitan Police had sanded her down to wire and bone. Tonight, the wire was pulled tight. Ahead, a dark figure carved through the storm, shoulders hunched, coat flaring like a torn sail. He ducked past the distinctive green neon sign of the Raven’s Nest, the light bleeding emerald across wet brick and puddled gutter water. Quinn didn’t slow. She knew that gait. Knew the way he favored his right side, the way his left arm stayed tucked close to his ribs. Tomás Herrera. Off-the-books medic. Ghost in her case files. The man who kept the clique breathing when they should have been in morgue drawers. She pushed harder. Rain slicked her closely cropped salt-and-pepper hair against her skull. Water tracked down the sharp line of her jaw, stinging her brown eyes. The worn leather watch on her left wrist caught a flash of streetlamp as she checked the time without breaking stride. Twenty-three hundred hours. The city was hollowing out, surrendering to the weather. Herrera vaulted a low iron fence, his movements fluid, economical. A paramedic’s grace, born in Seville and refined on London’s ambulance routes before he threw his NHS license away treating patients who bled wrong and healed too fast. He hit the alley running, boots splashing through oily puddles. Quinn followed, shoulder clipping damp brick, hand resting instinctively near her hip where her warrant card and sidearm sat heavy beneath her soaked trench. She didn’t draw. Not yet. She needed him conscious. She needed him talking. He cut left toward Camden, abandoning the main thoroughfare for a service road that sloped downward. The rain intensified, drumming against corrugated metal and drowned-out traffic. Quinn’s lungs burned. She forced her breathing into rhythm, military precision overriding fatigue. Three years ago, she’d run like this behind DS Morris. Three years ago, the chase had ended in a warehouse that smelled of copper and ozone, and Morris hadn’t walked out. The case file said structural collapse. The coroner said blunt force trauma. Quinn knew better. She’d seen the scorch marks that defied chemistry. She’d heard the low, vibrating hum that made her teeth ache. She didn’t understand it then. She was starting to now. Herrera disappeared down a concrete stairwell choked with weeds and rusted signage. An old Underground entrance. The grate hung crooked on its hinges. Quinn hit the steps, boots ringing against wet stone. The air grew thick, smelling of damp earth, stale urine, and something sharper. Ozone. Her pulse kicked. She descended into the dark, hand trailing the slick wall for balance. Emergency lighting flickered somewhere below, casting long, wavering shadows. The tunnel opened into a vaulted space. Tiled walls, peeling advertisements, the ghost of a Camden Town station sign. But this wasn’t a transport hub anymore. Beyond the rusted ticket barriers, the darkness moved. Lanterns hung from exposed piping, throwing amber light over stalls built from salvaged scaffolding and tarps. Figures drifted through the gloom, faces obscured by hoods, masks, or shadows. The air tasted metallic, sweetened by something like burnt honey and crushed herbs. Quinn stopped at the edge of the concourse, water dripping from her coat hem. Her eyes adjusted. Glass jars lined a wooden table, contents suspended in viscous fluid. Pale roots. Iridescent scales. Something that pulsed with a slow, rhythmic contraction. A woman in a waxed canvas apron weighed coins that didn’t clink. They whispered. Herrera stood thirty yards ahead, near a stairwell leading deeper. He’d stopped running. He turned, rain still gleaming on his olive skin, his short curly dark brown hair plastered to his forehead. His coat hung open. Beneath it, a silver chain caught the lantern light. A Saint Christopher medallion rested against his collarbone. His left sleeve was pushed up, revealing the pale ridge of a scar running the length of his forearm. Knife work. Old. He didn’t reach for a weapon. He just watched her, chest heaving, warm brown eyes unreadable in the half-light. Quinn’s hand hovered over her holster. The market breathed around her. Somewhere, a vendor muttered in a language that bent the vowels wrong. A child’s laughter echoed from a tunnel that shouldn’t exist. The Veil Market. She’d heard the whispers in intercepted calls, in the ramblings of junkies who swore they’d bought dreams in glass vials and alchemical stimulants that stopped a heart for exactly forty seconds. It moved locations every full moon. Tonight’s lunar cycle sat fat and white behind the storm clouds. The geometry matched. The rumors matched. And it demanded a toll. At the barrier, a wooden post stood driven into the cracked tile. Nailed to it was a shallow iron dish. Inside rested a collection of small, yellowed objects. Knuckle joints. Vertebrae. Teeth. A sign, hand-painted on warped plywood, read: FLESH OUT. BONE IN. NO EXCEPTIONS. Quinn’s jaw tightened. Rainwater pooled around her boots. She could turn back. Call it in. Wait for tactical, for a cordon and floodlights and procedure. But procedure hadn’t saved Morris. Procedure hadn’t explained the way his radio had screamed before it went dead, or the way his body had been found with his eyes wide and his mouth full of ash. The clique operated in the cracks. Herrera patched them up. And this market fed them. If she walked away now, the trail went cold. Again. Herrera took a step back toward the deeper tunnels. He didn’t run. He waited. An invitation. Or a test. Quinn unclasped her watch. The leather strap came away with a soft sigh. She rubbed her thumb over the cracked face, feeling the familiar groove of the bezel. Eighteen years of rules. Eighteen years of believing the world made sense if you just followed the lines. She slipped the watch into her pocket. Her fingers brushed the cold steel of her sidearm, then moved past it. She reached into her coat, found the small evidence bag she’d carried for weeks. Inside rested a single phalanx, recovered from the warehouse where Morris died. She’d logged it as animal remains. The lab had returned it unclassified. She’d kept it anyway. A cop’s superstition. A widow’s relic. She stepped forward. The iron dish waited. The market held its breath. Herrera’s medallion caught the light again, a tiny anchor in the gloom. Quinn tipped the bag. The bone clicked against the metal. It sounded like a key turning in a lock. She crossed the barrier. The air shifted instantly, pressing against her skin like a second atmosphere. The whispers sharpened. The lanterns burned brighter. Herrera turned and descended into the lower concourse, his footsteps echoing against tile that hadn’t seen a train in decades. Quinn followed, water shedding from her coat, her bearing straight, her eyes scanning the stalls, the faces, the shadows that moved with purpose. She didn’t know what waited below. She didn’t know if she’d walk out. But the hum was back, low and familiar, vibrating in her molars. And this time, she was running toward it.
created_at"2026-04-27T10:20:56.255Z" 4/27/2026, 10:20:56 AM
model"qwen/qwen3.6-max-preview-20260420"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1265
moderation_latency(null)
generation_time186153
tokens_prompt914
tokens_completion5988
native_tokens_prompt870
native_tokens_completion5247
native_tokens_completion_images(null)
native_tokens_reasoning3618
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
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origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.0420576
router(null)
provider_responses
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endpoint_id"ca7fc0c7-f23d-4ac5-b2e0-945be5b61787"
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is_byokfalse
latency1265
model_permaslug"qwen/qwen3.6-max-preview-20260420"
provider_name"Alibaba"
status200
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1220
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
30.33% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1220
totalAiIsms17
found
0
word"calibrated"
count1
1
word"measured"
count1
2
word"pulse"
count1
3
word"flickered"
count1
4
word"wavering"
count1
5
word"gloom"
count2
6
word"pulsed"
count1
7
word"rhythmic"
count1
8
word"gleaming"
count1
9
word"unreadable"
count1
10
word"echoed"
count1
11
word"familiar"
count2
12
word"footsteps"
count1
13
word"echoing"
count1
14
word"scanning"
count1
highlights
0"calibrated"
1"measured"
2"pulse"
3"flickered"
4"wavering"
5"gloom"
6"pulsed"
7"rhythmic"
8"gleaming"
9"unreadable"
10"echoed"
11"familiar"
12"footsteps"
13"echoing"
14"scanning"
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
narrationSentences144
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences144
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences144
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen32
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1220
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
totalMentions42
wordCount1220
uniqueNames18
maxNameDensity0.98
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Soho1
Quinn12
Metropolitan1
Police1
Raven1
Nest1
Herrera8
Seville1
London1
Camden2
Morris4
Underground1
Town1
Saint1
Christopher1
Veil1
Market1
Eighteen3
persons
0"Quinn"
1"Police"
2"Raven"
3"Herrera"
4"Morris"
5"Saint"
6"Christopher"
7"Market"
places
0"Soho"
1"Seville"
2"London"
3"Camden"
4"Town"
globalScore1
windowScore1
90.48% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences84
glossingSentenceCount2
matches
0"something like burnt honey and crushed herbs"
1"sounded like a key turning in a lock"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1220
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences144
matches
0"knew that gait"
59.68% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs14
mean87.14
std31.27
cv0.359
sampleLengths
079
189
2144
3114
496
5103
694
795
845
986
1019
11114
1243
1399
97.95% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences144
matches
0"was pulled"
1"was pushed"
2"been found"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs230
matches
0"was hollowing"
1"was starting"
2"was running"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences144
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1229
adjectiveStacks0
stackExamples(empty)
adverbCount29
adverbRatio0.023596419853539462
lyAdverbCount6
lyAdverbRatio0.004882017900732303
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences144
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences144
mean8.47
std6.41
cv0.757
sampleLengths
013
115
231
314
46
516
623
73
84
919
102
112
125
1315
143
1510
1613
1721
183
199
2010
2128
2210
2324
243
252
264
274
2816
2910
303
3110
3210
3321
346
356
363
378
3811
395
405
4112
424
437
449
4513
461
473
4812
499
52.55% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats16
diversityRatio0.3819444444444444
totalSentences144
uniqueOpeners55
26.25% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences127
matches
0"Somewhere, a vendor muttered in"
ratio0.008
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount37
totalSentences127
matches
0"He ducked past the distinctive"
1"She knew that gait."
2"She pushed harder."
3"He hit the alley running,"
4"She didn’t draw."
5"She needed him conscious."
6"She needed him talking."
7"He cut left toward Camden,"
8"She forced her breathing into"
9"She’d seen the scorch marks"
10"She’d heard the low, vibrating"
11"She didn’t understand it then."
12"She was starting to now."
13"Her pulse kicked."
14"She descended into the dark,"
15"Her eyes adjusted."
16"He’d stopped running."
17"He turned, rain still gleaming"
18"His coat hung open."
19"His left sleeve was pushed"
ratio0.291
66.30% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount100
totalSentences127
matches
0"Rain fell in hard, slanting"
1"Harlow Quinn’s boots struck the"
2"Tonight, the wire was pulled"
3"He ducked past the distinctive"
4"Quinn didn’t slow."
5"She knew that gait."
6"Ghost in her case files."
7"The man who kept the"
8"She pushed harder."
9"Rain slicked her closely cropped"
10"Water tracked down the sharp"
11"The worn leather watch on"
12"The city was hollowing out,"
13"Herrera vaulted a low iron"
14"A paramedic’s grace, born in"
15"He hit the alley running,"
16"Quinn followed, shoulder clipping damp"
17"She didn’t draw."
18"She needed him conscious."
19"She needed him talking."
ratio0.787
39.37% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences127
matches
0"If she walked away now,"
ratio0.008
61.99% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences53
technicalSentenceCount6
matches
0"A paramedic’s grace, born in Seville and refined on London’s ambulance routes before he threw his NHS license away treating patients who bled wrong and healed t…"
1"He cut left toward Camden, abandoning the main thoroughfare for a service road that sloped downward."
2"She’d heard the low, vibrating hum that made her teeth ache."
3"She’d heard the whispers in intercepted calls, in the ramblings of junkies who swore they’d bought dreams in glass vials and alchemical stimulants that stopped …"
4"Herrera turned and descended into the lower concourse, his footsteps echoing against tile that hadn’t seen a train in decades."
5"Quinn followed, water shedding from her coat, her bearing straight, her eyes scanning the stalls, the faces, the shadows that moved with purpose."
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
87.4966%