Run: 2026-09-23-01M36P27JAZ8TVW9XFKCMAHT2F

Run Details

Duration:
40.6s
Cost:
$0.001261
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 smear of neon and black glass. Quinn kept the man in sight by watching the gaps between umbrellas. A charcoal coat, one shoulder hitching higher than the other. He slipped past a taxi, crossed against the light, and cut between two shuttered shops without once looking back. That meant he knew she was there. “Police,” she shouted, though she had no badge out and no expectation he’d stop. “Stop!” He ran. Quinn lengthened her stride. Her boots struck water hard enough to splash her trouser cuffs. She had chased men through worse weather, in worse shoes, with a cracked rib and a junior officer on the radio asking if she needed backup. None of that mattered now. The suspect had been at the Raven’s Nest for eleven minutes, talking to a woman Quinn had been watching for six weeks. A woman with no job, no fixed address, and three known connections to a clique Quinn believed was laundering more than money. The green neon Raven sign buzzed behind them, painting the wet pavement an unsteady color. Quinn had watched the man leave through the front door. He’d checked both directions, crossed the road, then bolted as soon as he saw her reflection in a dark shop window. He had something under his coat. She’d seen the hard outline shift when he moved. The man darted down an alley. Quinn followed, shoulder brushing brick. The air smelled of wet cardboard, fryer grease, and the sharp mineral stink of the city after rain. Somewhere behind her, a bus groaned through traffic. Ahead, the man’s shoes slapped puddles. He vaulted a low barrier and landed badly. His left leg buckled. Quinn closed the distance. “Hands where I can see them!” He twisted. For an instant she saw his face: pale, young, lips pulled back from his teeth. His eyes flicked past her to the alley mouth. Not calculating. Terrified. Then he threw a handful of something at her. Quinn turned her face and raised an arm. Grit peppered her coat and the back of her hand. A sting flared across her knuckles. She kept moving. He burst out onto a broader street and ran north. Quinn pressed her thumb to the radio clipped at her shoulder. “Quinn, pursuing male on foot, heading toward Camden. Dark coat, approximately six foot, carrying—” Static chewed the rest. Rain crackled against the mic. She tried again and got a burst of another officer’s voice, then nothing. Her worn leather watch sat tight on her left wrist, the second hand ticking beneath its scratched glass. She glanced at it without meaning to. 23:41. She had spent eighteen years learning when not to chase a bad feeling down a dark street. She had also spent three years learning that bad feelings could be right and still lead nowhere useful. Morris had been the one to call that stairwell a dead end. Quinn pushed the memory away. She had no room for it. Not with the suspect cutting between parked cars and shouldering through a crowd spilling from a late-night takeaway. People scattered. Someone swore at her. She didn’t slow. The man reached Camden High Street and veered toward the canal, then cut hard left into a narrow passage between a boarded-up chemist and a pub with its shutters down. Quinn caught the glimpse of his coat disappearing beneath a railway arch. She went after him. The arch spat her into a service yard. Beyond it, the city seemed to thin out: warehouses, fenced loading bays, a row of locked metal gates shining with rain. The man was halfway across the yard. He reached a rusted pedestrian gate and shoved through. Quinn reached it seconds later. The gate had swung shut but not latched. She slid through and found herself on a steep flight of steps descending between two retaining walls. At the bottom, the darkness swallowed the wet shine of the city. She drew her pistol. “Stop now,” she called. No answer. His footsteps thudded down the stairs, quick and uneven. Quinn followed with her free hand skimming the rail. The air changed as she descended. Rain smell fell away. Damp concrete, old rust, and something sweetly rotten took its place. At the foot of the stairs lay a service tunnel, tiled in white that had once been white. A faded Underground roundel hung crookedly on the wall. The station beyond it had been sealed for years, according to every map Quinn had checked. The suspect ran toward it. She slowed. The first rule in an unfamiliar space was to stop and listen. She did. Water ticked from a pipe. Somewhere beyond the tunnel, metal clanged. There was no sound of a train, no hum from lights, no voice on a public-address system. Just the wet scrape of the man’s shoes fading into the dark. Quinn’s pistol stayed level. Her heartbeat made a hard, steady knock beneath her ribs. Three years ago, Morris had gone down a flight of steps into a place that wasn’t on the building plans. Quinn had found his notebook later, pages swollen by water, his last written line only three words: Don’t trust the door. She tightened her jaw until the thought broke apart. The tunnel widened into the station concourse. Old ticket windows had been boarded over. The tiled walls were cracked and furred with soot. At the far end, an iron gate stood open, though Quinn could see the chain and padlock dangling from one side. The suspect slipped through it. Quinn reached the opening and stopped again. Beyond lay a platform, lit with lamps that hung from cables strung along the ceiling. Not electric work, she thought. The light had a low amber pulse, like coals seen through paper. People moved beneath it. Dozens of them. A market spread across the platform and down onto the tracks, its stalls crowded beneath patched awnings. There were tables of glass bottles, trays of silver objects, cages covered in black cloth. A woman in a yellow rain cape weighed something pale and knuckled in her palm. A man behind a counter was turning the pages of a book whose paper kept shifting in the draft. Quinn saw the suspect cut between two stalls. Nobody screamed or called for help. Nobody even looked up for long. The market flowed around him as if it had made room before he arrived. She holstered her pistol. A gun would bring panic, and panic in a crowd was its own kind of danger. She had no idea what people down there carried, or what they might call ordinary. On the floor by the gate, something pale caught the light. A token, no larger than a coin, lay in a shallow puddle. It was bone, carved with a black mark at its center. Quinn picked it up between finger and thumb. Warm. She looked at the market again. The suspect had reached the far end of the platform and was trying to force his way through a narrow doorway in the brickwork. A broad-shouldered man in a butcher’s apron caught his arm. The suspect jerked free and knocked over a rack of metal charms. The clatter rippled through the market. Heads turned. Quinn had choices. Call for backup, if the radio worked. Go back up and find another entrance. Wait and watch. Let him disappear into a place that might not even be on the map. He turned then, as if he’d felt her gaze. Their eyes met across the platform. His fear sharpened. He pointed at her and shouted something she couldn’t hear. A bell rang once, somewhere inside the market. The people began to close ranks. Quinn looked down at the bone token in her palm. Its carved mark seemed darker now, wet ink spreading into the grain. She could still feel its warmth through her glove. The opening in the gate had no lock, but the token had been left exactly where a person would find it. That might be an invitation. It might be a trap. Morris’s handwriting rose in her mind, the last three words on the water-warped page. Don’t trust the door. Quinn lifted her eyes. The suspect had vanished through the brick doorway. The butcher’s-apron man stood watching her now, broad hands empty at his sides. A woman in a silver veil held up a narrow strip of paper. On it, a name had been written in red. Quinn couldn’t read it from here. She could leave. She could keep her report clean and tell herself the suspect had gone where pursuit became unreasonable. She could explain the strange lamps and the stalls and the bone token as a concussion waiting to happen. Instead, she rolled the token over in her hand. A notch had been cut into its edge. The same notch as the charm pinned to the suspect’s coat, visible when he’d turned beneath the arch. He had used it to get through. She had watched him do it. The market was waiting to see whether she would follow. Quinn stepped over the threshold. The change in the air touched her first: a pressure against her ears, like diving too deep. The lamps steadied. The crowd’s noise rushed up around her, low and layered—haggling, murmured warnings, a child laughing somewhere out of sight. The bone token warmed against her palm until she nearly dropped it. The butcher’s-apron man shifted to block the platform. “Police,” Quinn said, showing her badge. Her voice sounded smaller than she wanted. “I’m looking for a man in a dark coat.” The man glanced at the badge, then at the bone in her hand. His mouth tightened. “Then you’d better hope he’s still a man.” Quinn went past him. She kept her eyes on the doorway where the suspect had disappeared. Behind her, the iron gate swung shut with a soft, final click. Somewhere in the station, the bell rang again.
created_at"2026-09-23T08:28:09.171Z" 9/23/2026, 8:28:09 AM
model"openai/gpt-6-luna-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency7549
moderation_latency(null)
generation_time40553
tokens_prompt888
tokens_completion2714
native_tokens_prompt810
native_tokens_completion2360
native_tokens_completion_images0
native_tokens_reasoning312
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"completed"
service_tier"default"
usage0.001261
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790152089-WwoWkILxlU98gKKoAU7f"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790152089-kwoAk3Wm6pG0R945z1iI"
upstream_id"resp_0f576ab82bfdb3f7016ab38d9955a487d19d6590243559a403"
provider_responses
0
endpoint_id"05e94e02-b9c2-4bbb-ba55-4082ee9ad687"
id"resp_0f576ab82bfdb3f7016ab38d9955a487d19d6590243559a403"
is_byokfalse
latency3512
model_permaslug"openai/gpt-6-luna-20260922"
provider_name"OpenAI"
status200
total_cost0.001261
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences8
tagDensity0.375
leniency0.75
rawRatio0
effectiveRatio0
96.99% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1661
totalAiIsmAdverbs1
found
0
adverb"sweetly"
count1
highlights
0"sweetly"
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)
78.93% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1661
totalAiIsms7
found
0
word"flicked"
count1
1
word"calculating"
count1
2
word"footsteps"
count1
3
word"electric"
count1
4
word"pulse"
count1
5
word"warmth"
count1
6
word"charm"
count1
highlights
0"flicked"
1"calculating"
2"footsteps"
3"electric"
4"pulse"
5"warmth"
6"charm"
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
narrationSentences169
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences169
filterMatches
0"watch"
hedgeMatches
0"seemed to"
1"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences174
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen31
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1660
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
66.56% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions43
wordCount1618
uniqueNames11
maxNameDensity1.67
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Soho1
Raven2
Nest1
Quinn27
Camden1
High1
Street1
Underground1
Morris3
Don2
Rain3
persons
0"Quinn"
1"Morris"
2"Rain"
places
0"Soho"
1"Raven"
2"Camden"
3"High"
4"Street"
globalScore0.666
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences121
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1660
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences174
matches
0"call that stairwell"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs65
mean25.54
std22.29
cv0.873
sampleLengths
011
141
27
315
42
590
646
715
843
916
106
1129
129
1327
1410
1525
1622
1761
1812
1938
2042
214
2245
2342
244
254
2611
2773
285
292
3054
3114
3241
339
3449
357
36105
378
3826
3935
4011
4132
4260
4334
4415
4513
468
476
4862
4914
94.88% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences169
matches
0"been sealed"
1"been boarded"
2"were cracked"
3"been left"
4"been written"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs285
matches
0"was laundering"
1"was turning"
2"was trying"
3"was waiting"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences174
ratio0.006
matches
0"The crowd’s noise rushed up around her, low and layered—haggling, murmured warnings, a child laughing somewhere out of sight."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1624
adjectiveStacks0
stackExamples(empty)
adverbCount43
adverbRatio0.02647783251231527
lyAdverbCount6
lyAdverbRatio0.003694581280788177
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences174
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences174
mean9.54
std5.75
cv0.603
sampleLengths
011
112
210
319
47
514
61
72
84
911
1026
115
1222
1322
1415
1510
1621
176
189
196
205
2118
228
236
248
254
264
276
282
2915
309
312
321
339
348
3510
366
373
3810
3911
4014
414
425
4313
4418
457
461
4717
4818
4912
41.33% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats15
diversityRatio0.2832369942196532
totalSentences173
uniqueOpeners49
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount6
totalSentences157
matches
0"Somewhere behind her, a bus"
1"Then he threw a handful"
2"Somewhere beyond the tunnel, metal"
3"Just the wet scrape of"
4"Instead, she rolled the token"
5"Somewhere in the station, the"
ratio0.038
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount45
totalSentences157
matches
0"He slipped past a taxi,"
1"she shouted, though she had"
2"Her boots struck water hard"
3"She had chased men through"
4"He’d checked both directions, crossed"
5"He had something under his"
6"She’d seen the hard outline"
7"He vaulted a low barrier"
8"His left leg buckled."
9"His eyes flicked past her"
10"She kept moving."
11"He burst out onto a"
12"She tried again and got"
13"Her worn leather watch sat"
14"She glanced at it without"
15"She had spent eighteen years"
16"She had also spent three"
17"She had no room for"
18"She didn’t slow."
19"She went after him."
ratio0.287
52.36% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount128
totalSentences157
matches
0"Quinn kept the man in"
1"A charcoal coat, one shoulder"
2"He slipped past a taxi,"
3"That meant he knew she"
4"she shouted, though she had"
5"Quinn lengthened her stride."
6"Her boots struck water hard"
7"She had chased men through"
8"None of that mattered now."
9"The suspect had been at"
10"A woman with no job,"
11"The green neon Raven sign"
12"Quinn had watched the man"
13"He’d checked both directions, crossed"
14"He had something under his"
15"She’d seen the hard outline"
16"The man darted down an"
17"Quinn followed, shoulder brushing brick."
18"The air smelled of wet"
19"He vaulted a low barrier"
ratio0.815
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences157
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences70
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount0
matches(empty)
25.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount1
fancyTags
0"she shouted (shout)"
dialogueSentences8
tagDensity0.375
leniency0.75
rawRatio0.333
effectiveRatio0.25
88.5350%