Run: 2026-03-18-01KM0A9QTFSE884T2FKBSEDKN7

Run Details

Duration:
27.1s
Cost:
$0.021348
Provider:
OpenAI

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 turned Soho into a bruise. It shone on the pavement in thin silver skins, pooled in gutter seams, ran in black threads along the curb. The green neon sign above The Raven’s Nest buzzed and hissed through the downpour, painting the wet street in sickly emerald. Harlow Quinn stood under the bar’s narrow awning with the collar of her coat turned up and watched a man in a charcoal hood hurry away from the front steps as if the night had bitten him. He had been inside twenty minutes. Long enough to meet someone. Long enough to lie. Harlow’s brown eyes tracked him across the street. He kept his head down, shoulders tight, one hand pressed to the inside pocket of his jacket. The movement had the sharpness of a man protecting something expensive or dangerous. In her experience, the difference was mostly academic. She pushed off the wall and followed. The city swallowed him at once. A black cab sliced past, tires hissing. Two tourists laughed under one umbrella and veered toward the glow of a kebab shop. The man slipped between them like smoke and cut into the rain-dark mouth of Greek Street. Harlow lengthened her stride. Her coat was already damp at the shoulders. Water beaded on her cropped salt-and-pepper hair and slid down the sharp line of her jaw. She breathed through her nose, measured and steady, the way she had learned years ago when a body on the floor or a gun in a hand could make every second feel crowded. Her left wrist felt the familiar drag of her worn leather watch against her skin. Eleven forty-three. Too late for innocent errands. The man glanced back once. Not long enough to see her face clearly, but enough. He broke into a run. “Shit,” Harlow muttered, and went after him. He cut hard left through a narrow lane beside a shuttered tailor’s shop, his shoes skidding on the wet cobbles. Harlow took the corner tighter, one hand brushing brick, and saw him ahead under a spill of yellow light from a kitchen window. The alley smelled of fryer oil, rain, and old garbage. He shoved through a half-open service door, then burst out the other side into the street beyond. She came through and nearly caught him at the curb. He was faster than he looked. Wiry. Panicked. His hood slipped back a fraction and she caught a flash of pale skin, a mouth set in a hard line, eyes wide with the wild concentration of someone who already knew the cost of being caught. He barreled across Shaftesbury Avenue, dodging a bus that complained in a blast of diesel and brakes. Harlow stepped into the road behind him, raising a hand to a driver who leaned on his horn. Water sprayed up over her shoes. She ignored it. The suspect darted between two delivery vans, using a gap so narrow she almost lost him. A flash of movement by his hip caught her eye, and then something small and white flicked from his pocket, hit the asphalt, and skipped into the gutter. Harlow dropped without thinking, palm sliding on cold rainwater, and snatched it before the current took it. A bone token. Off-white, thumb-sized, etched with a shallow spiral that looked hand-carved and old enough to matter. She straightened and saw him thirty yards ahead, turning sharply toward Camden High Street. Not random. Never random. Not if he was running this hard toward a place he expected to reach. Harlow pocketed the token and ran harder. Camden at night had a different pulse than Soho. It was wider, meaner, all hanging signs and half-lit facades, the air thick with fried food, cigarette smoke, and the sour metallic stink of the rain hitting hot pavement. The suspect cut through a crowd outside a closed music venue, shoulders colliding with bodies, and disappeared under the railway arches where the street darkened abruptly. Harlow pushed through after him. The noise changed first. Aboveground, it had been traffic and laughter and the slap of rain. Under the arches the sound thinned into a damp echo, the city’s voice muffled by concrete and steel. Water dripped steadily from the girders overhead. Graffiti shone slick on the brick walls. The suspect vanished around the corner of a fenced-off stairwell that led down to an abandoned Tube entrance she had never noticed before. She slowed just enough to read the dark. No station signage. No warning lights. Just a rusted maintenance gate and a set of stairs descending into a mouth of shadow. A single bulb burned over the entrance, weak and yellow, as if the underground below was rationing electricity. Two figures stood by the gate in long coats, faces hidden in scarves. One of them looked up as she approached. His eyes fixed on her badge, then her face, then the bone token in her hand. Harlow stopped one step away from the threshold. Her pulse had not changed in rhythm, but she could feel it now, a hard, insistent drum in her throat. The air coming up from below was colder than the rain and smelled wrong—old stone, damp ash, something sweet and rotten beneath it, like lilies left too long in a closed room. The figure on the left held out a gloved hand. “Token.” Harlow looked at the stairs, then back at him. “What is this?” “Entry,” he said. The other one, a woman with a shaved head and a silver ring through one eyebrow, tilted her head and studied her with open suspicion. “You’re not market.” “No.” Harlow slipped the token from her coat pocket and held it between two fingers. “But the man who just ran in here is.” The first guard’s gaze sharpened. “Then you’d best decide quickly whether you want him.” Harlow did not like the way that sounded. She liked even less that the suspect had come here expecting to vanish among these people, in a place where police badges apparently meant less than carved bone. She thought of the last case that had gone wrong in a way no report could contain. Morris shouting in the dark. The sickening wrongness in the air. His face afterward, or what she remembered of it, because memory had a cruel way of filing certain details under pain and letting them rot there. Three years and she still had no clean explanation for what took him. Just the sense that there were parts of London built on older bones than anyone in uniform cared to admit. The suspect had answers. Or evidence. Or both. Behind her, a siren wailed far off and faded into the wet night. The city above kept moving, indifferent. Harlow tucked the token back into her palm and said, “I’m following him.” The guards exchanged one glance. “Then don’t draw trouble,” the woman said, and stepped aside. Harlow went down. The stairs were steep and slick. Water dripped through cracks in the concrete and collected in shallow black seams at each landing. The farther she descended, the warmer the air became, but not with comfort. It was the heat of bodies packed too close together beneath ground and secrecy, the kind that smelled of metal, perfume, incense, and old damp fabric. At the bottom, the abandoned Tube station opened up in a long vaulted chamber lit by lanterns, bare bulbs, and the glow of stalls assembled where platforms used to be. The tiled walls had been painted over, peeled away, repaired, painted again. Beyond the tracks, in the darkness of the tunnel mouths, she saw shadows moving. People in hooded coats. Faces half-hidden by veils, masks, scarves. A woman weighing a handful of teeth in her gloved palm. A man with three glass vials lined up on velvet, each filled with something that pulsed faintly in the light. Another stall draped in black cloth where bundles of dried herbs hung beside lockets, jars, and what looked uncomfortably like preserved eyes. The market. Not a rumor, then. Not a story to be dismissed by men who believed the world only expanded as far as their warrants. The bone token in Harlow’s hand felt suddenly colder. A train had once passed through this station. She could feel its memory in the curve of the roof, the shape of the platform, the long sweep of the tunnel. Now the rails were gone, hidden under makeshift flooring and crates. The sound here was a low oceanic murmur: bargaining, footsteps, the rattle of metal, fragments of voices in accents she could not place. Every so often a light shifted and caught a face that looked too attentive, too still, too ready. Harlow kept her shoulders square and her expression flat. Military precision, her old sergeant had once called it, half praise and half warning. Don’t advertise fear. Fear was a currency here. Her eyes searched the crowd. The suspect had vanished into the moving bodies near the far end of the platform, his dark hood blending with the dimness. Harlow started toward him, then checked herself. A man selling bundles of crystal dust watched her with a smile that held no humor. Another leaned from his stall and murmured something to a companion when he saw the badge clipped inside her coat. Too many eyes. Too much knowledge she didn’t have. She felt the first true thread of caution tighten in her chest. This was not just an underground market; it was a controlled ecosystem, one that had swallowed criminals, occultists, informants, and fools for who knew how long. She was standing in the middle of it with a detective’s badge and a bone key she didn’t understand. One wrong move and she could vanish here as neatly as the man she was chasing. Then she saw him again. He was farther down the platform now, weaving toward a stall draped in rust-red fabric. The vendor leaned in as he approached, and the suspect thrust something into the man’s hand. The vendor looked up, eyes narrowing. He said a single word Harlow couldn’t hear, but the suspect’s shoulders sagged as if that word had been a door opening. A transaction. Or a handoff. Harlow moved. She threaded through the crowd with her badge tucked out of sight and her hand close to her coat. A woman selling silver charms watched her pass and quietly drew a line of chalk over the threshold of her stall. Harlow ignored the gesture, though it put the hair at the back of her neck on alert. The suspect slipped behind a pillar marked with old route maps faded almost to nothing. Harlow rounded it and nearly collided with a table stacked with wax-sealed bottles. A hand shot out and caught her elbow. She turned, instant and ready, and found herself facing a thin man in a dark waistcoat whose smile showed just enough teeth to be a warning. “Wrong aisle,” he said. “I’m looking for someone.” “Aren’t we all?” He glanced at the token in her palm, and for the first time she saw his expression shift. Not surprise. Recognition. That was worse. “Who gave you that?” he asked. Harlow tightened her grip around the token. “A runner with a death wish.” The thin man’s smile vanished. “Then he’s already gone farther than he should have.” “Where?” He looked past her shoulder toward the deeper tunnels, where the market thinned and the light changed from amber to a colder, bluish tone. “Depends who’s asking.” Harlow leaned in just enough to make him understand she wasn’t bluffing. “Metropolitan Police.” He barked a short laugh, then seemed to think better of it when he saw her face. “No one here cares for your Metropolitan Police.” “Funny,” she said. “I’m finding I don’t care much for this place either.” His gaze flicked to her coat, to the badge, back to her eyes. He made a choice. People always did. “Turn left at the tunnel with the blue cloth,” he said. “If he made the exchange, he’ll head for the back market. But if you go there without protection, you’ll be noticed.” “By who?” “By anyone worth being noticed by.” He released her elbow and stepped back, already losing interest. Harlow started toward the tunnel, then paused just long enough to look at the market properly. The rows of stalls, the hidden trade, the furtive glances and coded exchanges. This was not a dead place. It was alive in the way a knife was alive. Quiet, sharp, waiting. Her instinct said stop. Get out. Call for units, if any unit would even believe her. Do not chase a suspect deeper into a place built to swallow evidence. But the other instinct, the one sharpened by three years of unanswered questions and the memory of Morris disappearing into a darkness nobody could explain, said this was where the answers were. Her left wrist ached where the watch band dug in. Time was passing. The suspect was still ahead. And if he got clean out of the market with whatever he had taken, she would lose him in the city above forever. Harlow slipped the bone token into her pocket, squared her shoulders, and walked into the tunnel after him.
created_at"2026-03-18T11:11:38.333Z" 3/18/2026, 11:11:38 AM
model"openai/gpt-5.4-mini-20260317"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency21207
moderation_latency(null)
generation_time26547
tokens_prompt914
tokens_completion4218
native_tokens_prompt810
native_tokens_completion4609
native_tokens_completion_images0
native_tokens_reasoning1886
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"completed"
usage0.021348
router(null)
provider_responses
0
endpoint_id"9ee065b2-3d1c-43bc-bdd7-28af3b148282"
id"resp_00ea2c15c9bb23310169ba886a66548193b7865a8ca865da5a"
is_byokfalse
latency167
model_permaslug"openai/gpt-5.4-mini-20260317"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773832298-8FcKYu0nqcNCxhHgTlIS"
upstream_id"resp_00ea2c15c9bb23310169ba886a66548193b7865a8ca865da5a"
total_cost0.021348
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags9
adverbTagCount0
adverbTags(empty)
dialogueSentences26
tagDensity0.346
leniency0.692
rawRatio0
effectiveRatio0
93.20% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount2207
totalAiIsmAdverbs3
found
0
adverb"sharply"
count1
1
adverb"quickly"
count1
2
adverb"suddenly"
count1
highlights
0"sharply"
1"quickly"
2"suddenly"
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)
63.75% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount2207
totalAiIsms16
found
0
word"measured"
count1
1
word"familiar"
count1
2
word"flicked"
count2
3
word"etched"
count1
4
word"pulse"
count2
5
word"echo"
count1
6
word"could feel"
count2
7
word"eyebrow"
count1
8
word"velvet"
count1
9
word"pulsed"
count1
10
word"footsteps"
count1
11
word"crystal"
count1
12
word"coded"
count1
highlights
0"measured"
1"familiar"
2"flicked"
3"etched"
4"pulse"
5"echo"
6"could feel"
7"eyebrow"
8"velvet"
9"pulsed"
10"footsteps"
11"crystal"
12"coded"
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
narrationSentences177
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount3
narrationSentences177
filterMatches
0"watch"
hedgeMatches
0"started to"
1"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences194
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen37
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords2206
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions12
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions48
wordCount2080
uniqueNames15
maxNameDensity1.25
worstName"Harlow"
maxWindowNameDensity2.5
worstWindowName"Harlow"
discoveredNames
Soho2
Raven1
Nest1
Quinn1
Greek1
Street2
Shaftesbury1
Avenue1
Camden2
High1
Tube2
London1
Harlow26
Morris2
Water4
persons
0"Raven"
1"Nest"
2"Quinn"
3"Harlow"
4"Morris"
5"Water"
places
0"Soho"
1"Greek"
2"Street"
3"Shaftesbury"
4"Avenue"
5"Camden"
6"High"
7"London"
globalScore0.875
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences126
glossingSentenceCount1
matches
0"police badges apparently meant less than car"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.453
wordCount2206
matches
0"Not long enough to see her face clearly, but enough"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences194
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs83
mean26.58
std25.46
cv0.958
sampleLengths
06
178
215
346
47
544
683
75
815
97
1070
1110
1245
1344
1444
1517
1618
1714
1818
197
2064
215
2271
238
2461
2516
2660
2711
2812
293
3028
3124
3214
3336
3487
358
3619
3713
385
3910
403
4161
42119
432
4423
459
4682
4731
485
4965
99.32% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences177
matches
0"being caught"
1"been painted"
2"were gone"
84.06% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount6
totalVerbs345
matches
0"was running"
1"was rationing"
2"was standing"
3"was chasing"
4"wasn’t bluffing"
5"was passing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount1
flaggedSentences2
totalSentences194
ratio0.01
matches
0"The air coming up from below was colder than the rain and smelled wrong—old stone, damp ash, something sweet and rotten beneath it, like lilies left too long in a closed room."
1"This was not just an underground market; it was a controlled ecosystem, one that had swallowed criminals, occultists, informants, and fools for who knew how long."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount2094
adjectiveStacks0
stackExamples(empty)
adverbCount74
adverbRatio0.03533906399235912
lyAdverbCount16
lyAdverbRatio0.007640878701050621
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences194
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences194
mean11.37
std8.08
cv0.711
sampleLengths
06
120
221
337
46
55
64
78
817
913
108
117
126
137
1415
1516
164
178
1816
1933
2015
212
225
235
2410
255
267
2720
2823
2910
3017
3110
326
331
341
3537
3617
3718
386
393
4016
4128
4217
433
4415
4514
462
472
4814
497
53.26% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats10
diversityRatio0.35051546391752575
totalSentences194
uniqueOpeners68
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount6
totalSentences159
matches
0"Too late for innocent errands."
1"Just a rusted maintenance gate"
2"Just the sense that there"
3"Too many eyes."
4"Too much knowledge she didn’t"
5"Then she saw him again."
ratio0.038
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount41
totalSentences159
matches
0"It shone on the pavement"
1"He had been inside twenty"
2"He kept his head down,"
3"She pushed off the wall"
4"Her coat was already damp"
5"She breathed through her nose,"
6"Her left wrist felt the"
7"He broke into a run."
8"He cut hard left through"
9"He shoved through a half-open"
10"She came through and nearly"
11"He was faster than he"
12"His hood slipped back a"
13"He barreled across Shaftesbury Avenue,"
14"She ignored it."
15"She straightened and saw him"
16"It was wider, meaner, all"
17"She slowed just enough to"
18"His eyes fixed on her"
19"Her pulse had not changed"
ratio0.258
66.92% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount125
totalSentences159
matches
0"It shone on the pavement"
1"The green neon sign above"
2"Harlow Quinn stood under the"
3"He had been inside twenty"
4"Harlow’s brown eyes tracked him"
5"He kept his head down,"
6"The movement had the sharpness"
7"She pushed off the wall"
8"The city swallowed him at"
9"A black cab sliced past,"
10"The man slipped between them"
11"Harlow lengthened her stride."
12"Her coat was already damp"
13"Water beaded on her cropped"
14"She breathed through her nose,"
15"Her left wrist felt the"
16"The man glanced back once."
17"He broke into a run."
18"Harlow muttered, and went after"
19"He cut hard left through"
ratio0.786
31.45% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences159
matches
0"Now the rails were gone,"
ratio0.006
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences90
technicalSentenceCount5
matches
0"Off-white, thumb-sized, etched with a shallow spiral that looked hand-carved and old enough to matter."
1"The suspect vanished around the corner of a fenced-off stairwell that led down to an abandoned Tube entrance she had never noticed before."
2"A single bulb burned over the entrance, weak and yellow, as if the underground below was rationing electricity."
3"It was the heat of bodies packed too close together beneath ground and secrecy, the kind that smelled of metal, perfume, incense, and old damp fabric."
4"Every so often a light shifted and caught a face that looked too attentive, too still, too ready."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount0
matches(empty)
73.08% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags8
fancyCount2
fancyTags
0"Harlow muttered (mutter)"
1"Harlow tucked (tuck)"
dialogueSentences26
tagDensity0.308
leniency0.615
rawRatio0.25
effectiveRatio0.154
91.6123%