Run: 2026-09-23-01M36R34YB9PYZ8S2HAE343XD4

Run Details

Duration:
36.6s
Cost:
$0.001339
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
The green neon raven above the bar blinked twice, then steadied. Quinn saw the suspect notice it. He looked back over his shoulder, face washed white by the sign, and ran. She shoved through the door of the Raven’s Nest hard enough to rattle the glass. Rain gusted in after her, needling her cheeks. Behind her, the bar’s old maps and black-and-white photographs held their quiet counsel beneath the dim lamps. A man at the counter lifted his head. Nobody else moved. “Police,” Quinn snapped, though she was already out in the street. The suspect cut left into the rain. She went after him. He was lean, dressed in a dark coat with the collar turned up. He had a good head start and knew the streets. He slipped between a delivery van and a line of parked cars, then vaulted a low iron rail into an alley slick with runoff. Quinn took the rail at speed. Her shoe skidded on the far side; she caught herself against the brick, pain jolting through her palm, and kept moving. “Stop! Police!” He didn’t. The alley opened onto a narrow street. Headlights smeared across the wet pavement as a taxi braked and blared its horn. The suspect darted behind it. Quinn followed, one hand up against the glare. The cab’s rear wheels hissed through a puddle and soaked her trouser leg to the thigh. She was forty-one, not twenty-five, and she knew exactly what a chase did to the body: narrowed vision, bad choices, breath too shallow to be useful. She forced air into her lungs and fixed her eyes on the suspect’s shoulders. He turned down another passage, then plunged through the open doors of a late-night takeaway. A cook shouted. A woman clutched a paper bag to her chest. Quinn went through after him, shoulder grazing the doorframe, and emerged into a courtyard full of bins and rainwater. The suspect scrambled up a fire escape. Quinn took the stairs two at a time. The metal rang under her boots. At the top, he crossed a narrow landing and dropped onto the roof of a shed. He landed hard but rolled through it, came up running. The city spread beyond him in black glass and wet brick, every streetlight doubled in the puddles. Quinn swung a leg over the rail and lowered herself after him. Her shoe hit the shed roof. It flexed under her weight. “Police!” she shouted again. This time he glanced back. She saw the fear in his face, and something else: calculation. He reached inside his coat. Quinn’s hand went to her holster. “Hands where I can see them!” He pulled out a small pale object and flung it over the roof’s edge. It struck the pavement below and skittered into a gutter. The suspect dropped down after it, hit the ground running, and vanished around the corner. Quinn took the fire stairs down more carefully. The object lay in the gutter, wedged against a cigarette packet. She crouched and picked it up. A bone token. Smooth, old, thumb-sized, its surface carved with a crooked symbol like a door seen from above. Rain beaded on it but did not seem to wet it. She turned it over between her fingers. “Quinn.” Dispatch crackled in her earpiece. “Status?” She looked up. The corner where the suspect had disappeared showed only rain and the red tail-lights of a bus. “Pursuing on foot. Heading north from Soho. Suspect is male, dark coat, carrying—” She paused, the token cold in her palm. “Unknown item. I’m crossing into Camden.” “Say again? You’re a long way from Camden.” The man had been running north. She’d followed without checking the turns. Streets and alleys had pulled her along like a thread. Now the roar of traffic had thinned, and the city’s familiar face had slipped away. In the distance, a railway arch cut a black mouth through the brick. “Requesting another unit to my last location,” she said. “I’m continuing.” “Quinn, don’t lose the line.” “I won’t.” The earpiece hissed. She started toward the arch. Three years ago, Morris had been running ahead of her, too. A wet night. A locked door. A call for backup that had come too late and then, somehow, not at all. She had never found a reasonable account of what happened in the minutes before his death. She had the file, the statements, the physical evidence. She had the blank spaces where an explanation belonged. She closed her fingers around the token until its edge pressed into her palm. The arch led to a fenced-off Tube entrance, half-hidden behind a boarded shopfront. The railings were rusted. A faded roundel hung crooked above the stairwell, its lettering stripped away. The suspect stood at the top of the steps, watching her. “Stop right there,” Quinn said. She brought her warrant card up in one hand and kept the other free. “Come down slowly. Hands visible.” He stared at the card, then at her. Rain ran from his hair into his eyes. “You don’t know where you are,” he said. “I know you’re under arrest.” A brief laugh escaped him. It had no humor in it. “No, you don’t.” He stepped backward into the stairwell. Quinn descended three steps. The air changed. Street noise dulled behind her, and the smell of rain and exhaust gave way to something mineral and stale, like stone sealed underground for a hundred years. The stairs were slick. The suspect’s shape dwindled below, then disappeared. At the bottom, a passage opened beneath a low tiled arch. Quinn stopped. Her radio gave a sharp burst of static. “Quinn? We’ve lost your signal. Respond.” She tapped the earpiece. “I’m here.” Static. A sound rose from below: voices, many of them, layered beneath a clatter of metal and the low thrum of machinery. Quinn leaned over the railing. The passage descended farther than the station plan in her head allowed. A weak amber light spilled up from below. She knew abandoned stations. She knew the risk: unstable platforms, old cables, trespassers with knives. She knew how quickly an underground pursuit could turn into a body recovery. The proper move was to hold the stairs, call for backup, wait until she had a team and a map. The suspect was down there. So was whatever he had run to protect. And she had a token in her hand that had not been made for any ordinary door. Quinn looked back up the stairs. At the top, the rain turned the city lights into wavering smears. She could be outside again in seconds. She could put a unit at every exit, take the suspect when he had nowhere left to go. She could also let him disappear into whatever this was. Morris’s name rose in her mind with the same old, useless weight. Quinn hated that she still heard him in the silence—not words, exactly, but the expectation that she would keep moving. She unclipped her radio and held it to her mouth. “I’m at a disused Tube entrance off—” She glanced at the street sign through the rain, then gave dispatch the location. “Suspect has entered. I’m following to maintain visual. Send units and specialist support. Do not enter alone.” No answer came back. She looked down at the token. The carved symbol seemed deeper now, its lines dark with shadow. She had no evidence it would do anything. No rational reason to think the suspect had thrown it away except to mislead her. Her instincts said trap. Her training said wait. She put the token in her coat pocket and drew her baton. Then she descended. The passage ended at a tiled wall that should have sealed the station off. Instead, a narrow seam ran through the bricks. Quinn stopped close enough to feel cold air breathing through it. On the other side, a man spoke in a language she didn’t recognize. Another voice answered in English. “Token?” The suspect’s voice: “Lost it.” A pause. Then a woman’s voice, dry as paper. “Then you’re lost too.” Quinn slid the token from her pocket. The bone seemed to warm against her glove. At the seam, there was no lock, no handle. She held the token near the crooked symbol carved into the tile. For a moment nothing happened. Then the bricks shivered with a soft, deep click. The wall opened inward. Beyond lay a platform lit by hanging lamps and crowded with narrow stalls. People moved beneath the low iron ribs of the ceiling: a man in a silver mask weighing something in his palm; a child carrying a jar of blue fire; an old woman laying out little glass bottles on a strip of velvet. A sign made of black boards swung overhead, its lettering white and clean. THE VEIL MARKET. The place breathed heat, smoke, damp wool, and something sharp that stung Quinn’s eyes. She stood on the threshold with her baton in her hand and the rain still cold on her neck. Nobody looked surprised to see her. Nobody looked harmless. Farther down the platform, the suspect glanced back. Their eyes met. He ran. Quinn stepped into the market. The seam in the wall shut behind her with a sound like a bolt sliding home. Somewhere above, the city went on shining in the rain. Somewhere beyond the closed bricks, backup was still on its way. Quinn tightened her grip on the baton and followed.
created_at"2026-09-23T09:03:36.409Z" 9/23/2026, 9:03:36 AM
model"openai/gpt-6-luna-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency11146
moderation_latency(null)
generation_time36552
tokens_prompt888
tokens_completion2477
native_tokens_prompt810
native_tokens_completion2516
native_tokens_completion_images0
native_tokens_reasoning516
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"
usage0.001339
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1790154216-GvpEE3Py8R9eGbECgLKB"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790154216-35nHKZ8fOY6RvthF0YHM"
upstream_id"resp_0b52e66fce65c320016ab395e889fc87d1afa5c346d42bb207"
provider_responses
0
endpoint_id"05e94e02-b9c2-4bbb-ba55-4082ee9ad687"
id"resp_0b52e66fce65c320016ab395e889fc87d1afa5c346d42bb207"
is_byokfalse
latency4294
model_permaslug"openai/gpt-6-luna-20260922"
provider_name"OpenAI"
status200
total_cost0.001339
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
totalTags8
adverbTagCount1
adverbTags
0"she shouted again [again]"
dialogueSentences25
tagDensity0.32
leniency0.64
rawRatio0.125
effectiveRatio0.08
90.50% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1579
totalAiIsmAdverbs3
found
0
adverb"carefully"
count1
1
adverb"slowly"
count1
2
adverb"quickly"
count1
highlights
0"carefully"
1"slowly"
2"quickly"
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)
81.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1579
totalAiIsms6
found
0
word"weight"
count2
1
word"familiar"
count1
2
word"wavering"
count1
3
word"silence"
count1
4
word"velvet"
count1
highlights
0"weight"
1"familiar"
2"wavering"
3"silence"
4"velvet"
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
emotionTells1
narrationSentences154
matches
0"looked surprised"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount3
narrationSentences154
filterMatches(empty)
hedgeMatches
0"seem to"
1"started to"
2"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences170
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen42
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1578
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions11
unquotedAttributions0
matches(empty)
81.60% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions29
wordCount1462
uniqueNames7
maxNameDensity1.37
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Raven1
Nest1
Morris2
Tube1
English1
Quinn20
Rain3
persons
0"Raven"
1"Morris"
2"Quinn"
3"Rain"
places
0"English"
globalScore0.816
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences110
glossingSentenceCount1
matches
0"seemed deeper now, its lines dark with shadow"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.634
wordCount1578
matches
0"not words, exactly, but the expectation"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences170
matches
0"hated that she"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs76
mean20.76
std18.94
cv0.912
sampleLengths
011
120
251
311
47
54
674
72
82
950
1040
1153
1257
1323
144
1521
166
176
1814
1910
2015
2125
2230
237
247
2520
2627
278
2850
2911
305
312
328
3366
3414
3540
3624
3716
388
395
4014
416
4245
4313
4414
456
461
4746
4848
4913
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences154
matches
0"were rusted"
1"been made"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs255
matches(empty)
92.44% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount3
flaggedSentences3
totalSentences170
ratio0.018
matches
0"Her shoe skidded on the far side; she caught herself against the brick, pain jolting through her palm, and kept moving."
1"Quinn hated that she still heard him in the silence—not words, exactly, but the expectation that she would keep moving."
2"People moved beneath the low iron ribs of the ceiling: a man in a silver mask weighing something in his palm; a child carrying a jar of blue fire; an old woman laying out little glass bottles on a strip of velvet."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1472
adjectiveStacks1
stackExamples
0"same old, useless weight."
adverbCount44
adverbRatio0.029891304347826088
lyAdverbCount5
lyAdverbRatio0.0033967391304347825
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences170
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences170
mean9.28
std5.96
cv0.642
sampleLengths
011
16
214
315
48
517
68
73
811
97
104
1113
1210
1324
146
1521
162
172
187
1914
205
218
2216
2326
2414
2515
263
279
2819
297
308
316
3216
3310
3417
3512
366
375
384
395
4011
415
426
436
4414
4510
4615
478
4811
496
37.65% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats21
diversityRatio0.27647058823529413
totalSentences170
uniqueOpeners47
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount6
totalSentences146
matches
0"Then she descended."
1"Instead, a narrow seam ran"
2"Then a woman’s voice, dry"
3"Then the bricks shivered with"
4"Somewhere above, the city went"
5"Somewhere beyond the closed bricks,"
ratio0.041
83.01% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount50
totalSentences146
matches
0"He looked back over his"
1"She shoved through the door"
2"She went after him."
3"He was lean, dressed in"
4"He had a good head"
5"He slipped between a delivery"
6"Her shoe skidded on the"
7"She was forty-one, not twenty-five,"
8"She forced air into her"
9"He turned down another passage,"
10"He landed hard but rolled"
11"Her shoe hit the shed"
12"It flexed under her weight."
13"she shouted again"
14"She saw the fear in"
15"He reached inside his coat."
16"He pulled out a small"
17"It struck the pavement below"
18"She crouched and picked it"
19"She turned it over between"
ratio0.342
38.77% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount123
totalSentences146
matches
0"The green neon raven above"
1"Quinn saw the suspect notice"
2"He looked back over his"
3"She shoved through the door"
4"Rain gusted in after her,"
5"A man at the counter"
6"Nobody else moved."
7"Quinn snapped, though she was"
8"The suspect cut left into"
9"She went after him."
10"He was lean, dressed in"
11"He had a good head"
12"He slipped between a delivery"
13"Quinn took the rail at"
14"Her shoe skidded on the"
15"The alley opened onto a"
16"Headlights smeared across the wet"
17"The suspect darted behind it."
18"Quinn followed, one hand up"
19"The cab’s rear wheels hissed"
ratio0.842
34.25% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences146
matches
0"Now the roar of traffic"
ratio0.007
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences66
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount0
matches(empty)
70.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount2
fancyTags
0"Quinn snapped (snap)"
1"she shouted again (shout)"
dialogueSentences25
tagDensity0.2
leniency0.4
rawRatio0.4
effectiveRatio0.16
90.1071%