Run: 2026-09-23-01M36NVA4YAJVQTYMDNJJ1DPMH

Run Details

Duration:
38.1s
Cost:
$0.001198
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 man saw her in the green spill of the Raven’s Nest sign and ran. For half a second, Detective Harlow Quinn stayed where she was, rain ticking against her collar, one hand inside her coat. The man’s face had been turned toward the bar’s narrow windows, blurred by reflected neon and rainwater. Then he’d looked straight at her. Not startled. Not confused. He’d known. He cut between two black cabs and vanished into the traffic. Quinn went after him. A horn blared as she hit the road. Tires hissed through standing water, throwing cold spray across her trousers. She kept her eyes on the dark shape ahead: slim coat, pale shoes, one hand held tight against his ribs. He ran with his head down, shoulders pumping, and a limp he was trying to hide. “Police!” she shouted. The word went nowhere. Soho swallowed it in wet brick and late-night noise. He shoved through a knot of people beneath a striped awning. Quinn followed, clipping a shoulder, hearing an angry curse behind her. She didn’t look back. Eighteen years in the Met had taught her that a chase was mostly a matter of refusing to let the person ahead decide it was over. The rest was lungs, footing, and luck. Her worn leather watch knocked her wrist as she ran. She glanced at it anyway. 23:41. Rain blurred the face; the minute hand had crawled almost to the top. The man darted down a side street, past shuttered shopfronts and a restaurant with chairs stacked behind glass. He looked over his shoulder. Quinn caught a glimpse of a narrow nose, a white scar at the temple, eyes that flashed silver in the streetlight. Then he stumbled on the slick pavement, caught himself against a wall, and kept going. He was hurt. Or carrying something heavy. Quinn drew her baton but left it collapsed in her fist. Her other hand went to her radio. “Control, Quinn. Pursuit on foot, Soho heading north toward—” Static cracked in her ear. She tried again. More static. The man turned through a gate between two buildings. Quinn reached it a breath later and found an iron service passage beyond, crowded with bins and overflowing bags. The smell of wet cardboard and sour beer rose around her. At the far end, the man was already wrenching open a metal door. “Stop!” He looked at her once more. This time there was fear in his face. He slipped through the door and let it swing shut. Quinn hit it shoulder-first. It gave onto a set of stairs descending into darkness. Cold air breathed up from below, carrying a sharp mineral smell, like stones pulled from a riverbed. The door clanged shut behind her. She stopped at the top step. There was no street noise down there. No traffic, no voices, no city. Only the soft patter of rainwater dripping from her hair onto the concrete. She listened. A scrape, far below. Then footsteps, receding. Quinn took out her phone. No signal. She lifted it higher, as though the ceiling might be persuaded. The screen showed a blank wedge where the bars should have been. She could go back. Find the street. Get a uniformed unit to the alley, call it in properly, put a cordon around the entrance. The man might be caught by then. Or he might be gone. The thought of him getting away wasn’t what kept her at the top of the stairs. It was the smell. She had smelled it once before, three years ago, in a basement room with a locked door and blood drying on the floor. DS Morris had gone in first. Quinn had heard him call her name, then heard nothing at all. They’d found no second exit, no weapon, no explanation that made sense. The report had said misadventure, then unresolved circumstances, then nothing. She tightened her grip on the baton. A memory was not evidence. A smell was not a reason to abandon a pursuit. Down she went. The stairs ended at a platform tiled in cracked cream squares. An old station sign hung crooked from the wall, its lettering obscured by soot and peeling paint. Someone had laid a line of electric lamps along the platform, each one burning a low, cold blue. Beyond their reach, the tunnel curved away into blackness. The man’s footsteps had stopped. Quinn moved down the platform, keeping close to the wall. Her shoes squeaked on the damp tile. At the tunnel mouth, a narrow service door stood ajar. She put her shoulder against the wall and listened. Voices beyond it. A murmur of many people, rising and falling in a way that didn’t belong underground. She eased the door open. The passage beyond sloped downward. The blue lamps gave way to lanterns hung from iron hooks, then to a warm, wavering glow. Quinn followed the voices around a bend and came to a grille set into the rock. A man in a waxed coat stood in front of it, broad as a wardrobe. He had a bone-white token between two fingers. “Payment,” he said. The scarred man held out his hand. The guard glanced at him, then through the grille. Something was said on the other side. The guard let him pass. Quinn pressed herself back against the stone. Her pulse beat in her throat. The token looked like a knuckle bone, polished smooth and marked with a black line. She could see no wire, no camera, no reasonable way any of this belonged beneath a disused Tube station. The man was disappearing through the grille. Quinn moved. “Police,” she said, and the guard turned. She drove the baton into his wrist. The token jumped from his hand. He swore and came at her with his other arm, a heavy swing that caught her across the shoulder and shoved her into the wall. She dropped, snatched the token from the wet stones, and rolled under his next grab. The man behind the grille was gone. The guard reached for her coat. Quinn struck him low in the ribs with the baton. He grunted, more surprised than hurt, and she used the opening to slip through the grille. The sound hit her first. A crowd. Hundreds of voices, maybe more, all layered into a restless roar. Lanterns and bare bulbs lit a cavernous platform crowded with stalls. One sold glass bottles filled with blue liquid. At another, a woman in a red veil arranged teeth in velvet trays. Copper cages hung from hooks overhead, each containing a dark shape that shifted when Quinn looked up. The air smelled of candle grease, wet wool, and something sweet rotting beneath both. An abandoned Tube station had become a market. The scarred man pushed through the crowd ahead of her. He was moving fast now, one hand still clamped to his side. Quinn followed, token closed in her fist. People watched her pass. Their faces were pale in the lantern glow. Some wore ordinary coats; others had wrapped themselves in fabrics that caught the light like fish scales. No one seemed surprised by her. That was worse than if they’d shouted. A man selling glass eyes leaned across his stall. “You’re not welcome here.” Quinn didn’t break stride. “I’m not shopping.” The scarred man looked back from between two stalls. Their eyes met. He veered left, knocking a tray of small metal charms onto the stones. They clattered underfoot. Someone cursed. Quinn kept moving, catching the edge of a stall and nearly losing her balance. “Stop!” she shouted again. This time people turned. The word rippled through the market, and the murmuring thinned. The scarred man shoved into the crowd and vanished among hanging rugs. Quinn stopped beneath a sign painted with a black crescent. She could hear the guard behind her, not close yet, but coming. The tunnel back to the street was behind her. She had no radio, no backup, no clear route out. Her hand was slick around the token. Somewhere in front of her, a suspect was bleeding and fleeing through a place that should not exist. At the edge of her vision, a stallholder held up a small brass compass. Its needle spun without settling. Quinn’s stomach tightened. The compass had looked like Morris’s, the battered one he’d kept in his desk drawer. It could not be his. There were a thousand compasses in London. She forced her eyes away. The market’s far end opened into a passage marked by a strip of red cloth. The scarred man had gone that way. Quinn heard the guard’s boots behind her, then a shout that might have been her name or might have been something else. She had three choices: go back, call for help when she found a signal, and let the man disappear; stay and fight a crowd that had not decided what she was; or follow him deeper into the dark. Quinn slid the bone token into her pocket and drew her baton. The red cloth stirred in the draft from the passage. She went after him.
created_at"2026-09-23T08:24:22.438Z" 9/23/2026, 8:24:22 AM
model"openai/gpt-6-luna-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency7577
moderation_latency(null)
generation_time38097
tokens_prompt888
tokens_completion2182
native_tokens_prompt810
native_tokens_completion2234
native_tokens_completion_images0
native_tokens_reasoning353
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"
usage0.001198
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790151862-7HMy1zxobzibPYRJ6wa1"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790151862-LuJNigEy3tPjhKAvKZ2N"
upstream_id"resp_0c4ca129e1e08b12016ab38cb689ec87d1bcc21eae36f1e406"
provider_responses
0
endpoint_id"05e94e02-b9c2-4bbb-ba55-4082ee9ad687"
id"resp_0c4ca129e1e08b12016ab38cb689ec87d1bcc21eae36f1e406"
is_byokfalse
latency854
model_permaslug"openai/gpt-6-luna-20260922"
provider_name"OpenAI"
status200
total_cost0.001198
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
0.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags4
adverbTagCount1
adverbTags
0"she shouted again [again]"
dialogueSentences8
tagDensity0.5
leniency1
rawRatio0.25
effectiveRatio0.25
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1519
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)
73.67% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1519
totalAiIsms8
found
0
word"pumping"
count1
1
word"footsteps"
count2
2
word"electric"
count1
3
word"wavering"
count1
4
word"pulse"
count1
5
word"velvet"
count1
6
word"stomach"
count1
highlights
0"pumping"
1"footsteps"
2"electric"
3"wavering"
4"pulse"
5"velvet"
6"stomach"
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
narrationSentences160
matches
0"seemed surprised"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences160
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences164
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen38
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1519
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
76.57% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions32
wordCount1498
uniqueNames9
maxNameDensity1.47
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Raven1
Nest1
Detective1
Harlow1
Quinn22
Met1
Morris2
Tube2
London1
persons
0"Raven"
1"Harlow"
2"Quinn"
3"Morris"
places
0"London"
globalScore0.766
windowScore0.833
83.04% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences112
glossingSentenceCount3
matches
0"looked like a knuckle bone, polished smoo"
1"seemed surprised by her"
2"looked like Morris’s, the battered one he"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.658
wordCount1519
matches
0"not close yet, but coming"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences164
matches
0"gone that way"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs56
mean27.13
std21.71
cv0.8
sampleLengths
015
150
211
34
455
53
613
759
829
959
107
1127
1210
1352
141
1524
1637
176
1828
197
2030
2152
224
2363
2422
253
2655
275
2836
2918
305
3161
323
3328
3447
357
362
3745
3822
3932
405
4176
428
4371
4413
457
4644
474
4826
4966
98.68% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences160
matches
0"been turned"
1"was said"
2"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs271
matches
0"was trying"
1"was already wrenching"
2"was disappearing"
3"was bleeding"
90.59% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount4
flaggedSentences3
totalSentences164
ratio0.018
matches
0"Rain blurred the face; the minute hand had crawled almost to the top."
1"Some wore ordinary coats; others had wrapped themselves in fabrics that caught the light like fish scales."
2"She had three choices: go back, call for help when she found a signal, and let the man disappear; stay and fight a crowd that had not decided what she was; or follow him deeper into the dark."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1501
adjectiveStacks0
stackExamples(empty)
adverbCount36
adverbRatio0.023984010659560292
lyAdverbCount4
lyAdverbRatio0.002664890073284477
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences164
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences164
mean9.26
std5.81
cv0.627
sampleLengths
015
121
217
36
42
52
62
711
84
98
1011
1120
1216
133
144
159
1611
1711
184
1926
207
2110
225
231
2413
2518
265
2721
2815
293
304
3111
327
339
345
353
362
379
3819
3911
4013
411
426
438
4410
454
4610
4717
486
496
45.19% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.3006134969325153
totalSentences163
uniqueOpeners49
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount5
totalSentences148
matches
0"Then he’d looked straight at"
1"Then he stumbled on the"
2"Only the soft patter of"
3"Then footsteps, receding."
4"Somewhere in front of her,"
ratio0.034
95.68% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount46
totalSentences148
matches
0"He cut between two black"
1"She kept her eyes on"
2"He ran with his head"
3"He shoved through a knot"
4"She didn’t look back."
5"Her worn leather watch knocked"
6"She glanced at it anyway."
7"He looked over his shoulder."
8"He was hurt."
9"Her other hand went to"
10"She tried again."
11"He looked at her once"
12"He slipped through the door"
13"It gave onto a set"
14"She stopped at the top"
15"She lifted it higher, as"
16"She could go back."
17"It was the smell."
18"She had smelled it once"
19"They’d found no second exit,"
ratio0.311
41.08% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount124
totalSentences148
matches
0"The man saw her in"
1"The man’s face had been"
2"He cut between two black"
3"Quinn went after him."
4"A horn blared as she"
5"Tires hissed through standing water,"
6"She kept her eyes on"
7"He ran with his head"
8"The word went nowhere."
9"Soho swallowed it in wet"
10"He shoved through a knot"
11"Quinn followed, clipping a shoulder,"
12"She didn’t look back."
13"The rest was lungs, footing,"
14"Her worn leather watch knocked"
15"She glanced at it anyway."
16"Rain blurred the face; the"
17"The man darted down a"
18"He looked over his shoulder."
19"Quinn caught a glimpse of"
ratio0.838
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences148
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences71
technicalSentenceCount2
matches
0"A murmur of many people, rising and falling in a way that didn’t belong underground."
1"Somewhere in front of her, a suspect was bleeding and fleeing through a place that should not exist."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount1
matches
0"she said, and the guard turned"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount2
fancyTags
0"she shouted (shout)"
1"she shouted again (shout)"
dialogueSentences8
tagDensity0.5
leniency1
rawRatio0.5
effectiveRatio0.5
80.1500%