Run: 2026-09-23-01M36P2ZFWQ5XVYA6AMJE6EER9

Run Details

Duration:
37.0s
Cost:
$0.001211
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 above the Raven’s Nest shivered in the rain. Harlow Quinn watched its reflection break apart in the gutter and counted the seconds since the man in the charcoal coat had gone inside. At fifty-two, he came back out. He didn’t look toward her. That was what made her move. Quinn stepped from the narrow awning opposite the bar, rain needling the back of her neck. The man cut east, fast but not running, one hand pressed to the inside of his coat. She followed at half a block, letting a pair of late drinkers drift between them. Soho narrowed around them: wet brick, shuttered shopfronts, taxis hissing through puddles. Somewhere behind her, the Raven’s Nest’s door opened and laughter spilled into the street, then vanished. The man turned sharply down a side lane. Quinn lengthened her stride. “Police,” she called. “Stop.” He ran. His shoes slapped the pavement. He vaulted a stack of crates and shouldered through a fire door that banged against the wall. Quinn reached it in time to catch the last swing. Inside, a service corridor smelled of wet cardboard and old cooking oil. She drew her warrant card in one hand and her weapon in the other, then moved on the balls of her feet. The door at the far end opened to a street she knew. The man was already crossing it, head down beneath the rain. He had a good lead and knew where he was going. Quinn followed, keeping him in sight between the glare of headlights. She had spent three nights watching the Raven’s Nest, and two weeks before that following the same thin trail of names through police databases: men who turned up in hospital records without admissions, a missing evidence bag, a warehouse burglary that had left no broken locks. The clique around Silas’s bar had the discipline of a crew and the habits of people who thought the rules didn’t apply to them. She still had no proof. The man in the charcoal coat might be the first. He glanced back at the next junction. Their eyes met. Then he sprinted. Quinn pushed after him, coat flapping against her legs. The rain made the pavement slick. A bus roared past, spraying cold water over her shoes. She cut between two parked cars and heard the man’s breath, ragged now, somewhere ahead. He dodged around a night cleaner pushing a mop bucket. Quinn flashed her warrant card as she passed, too quick for the woman to read it. “Police. Keep clear.” The man slipped down a staircase between a closed kebab shop and a boarded-up newsagent. No street sign. No Tube symbol. Just a black mouth beneath a rusted handrail, and a weak yellow light bleeding up from below. Quinn stopped at the top. The city’s noise thinned. Rain ticked on the rail. From under the ground came a hum she felt more than heard, like a distant train that had no business running. She touched the radio clipped to her shoulder. “Control, Quinn. I’m going underground, south end of—” Static rasped. Then silence. She tried again. Nothing. The man was gone from view. Quinn went down. The stairs smelled of wet stone and pennies. At the bottom, a broad tunnel opened into an abandoned Tube station. Faded tiles ran along the walls; a rusted sign hung at a crooked angle, its lettering too worn to read. The tracks had been swallowed by black water and heaps of rubbish. Beyond them, lanterns glimmered in a passage cut through the far wall. Voices drifted from it. A low murmur, many people speaking at once. Quinn raised her weapon and moved along the platform, watching the dark water. The man in the charcoal coat stood at the passage mouth. He had taken something from his pocket: a pale sliver that caught the lantern light. Bone, she thought. A token. He turned it between finger and thumb. The passage light brightened. Then he looked back at her, and for a heartbeat Quinn saw fear in his face. Not fear of arrest. Fear of what was behind him. “Don’t,” he said. She raised her voice. “Hands where I can see them.” He disappeared into the passage. Quinn reached the opening and stopped. The air beyond it had a strange sweetness, like crushed herbs left too long in a cupboard. She could hear movement, metal clinking, someone laughing. The tunnel’s stonework looked old, but the lanterns were clean and bright. On the threshold lay a second bone token, wet on one side, as if it had been dropped there in haste. She didn’t pick it up. She thought of Morris. Three years ago, a staircase in a condemned building, a voice in the dark, and the radio going dead at the exact moment she needed it. She thought of the report that had called his death an accident and the locked drawer in her desk where she kept every page of the case. There had been no explanation. Only a blank place in the facts where something should have been. The hum under the station deepened. Quinn holstered her weapon, crouched, and examined the token without touching it. A narrow groove ran around its edge. On its flat face, someone had carved a mark like a door with no handle. Her training told her to wait for backup. Her experience told her backup wasn’t coming. A shout rose from the passage. Then a crash. The man in the coat cried out once, sharply, and was cut off. Quinn looked back toward the empty platform. The radio at her shoulder hissed, but no voice came through. She could retreat, climb the stairs, call for armed officers, and return with enough bodies to make the whole place answer questions. If the entrance stayed open. If the man stayed alive. The voices beyond the threshold shifted, turning toward her. She picked up the token. It was cold enough to sting her palm. The carved mark seemed deeper beneath her thumb, though she knew that was impossible. Somewhere behind her, from the direction of the platform, a train bell rang once. Quinn froze. The tracks lay under black water. No train had passed. Another bell. Closer. She stepped through the passage. The air changed at once. Warmth closed around her, thick with smoke, wax, and the sharp mineral stink of something chemical. The tunnel opened into a cavernous station hall crowded with stalls. Tables stood beneath patched tarps. Glass bottles glowed blue and violet. Coils of wire, tarnished charms, jars of dark liquid, and objects she refused to identify crowded the displays. People in rain-dark coats and bright scarves turned to watch her. Some had ordinary faces. Some did not. Quinn kept the token in one hand and her other hand near her weapon. The man in the charcoal coat was nowhere in sight. A stallholder with silver rings threaded through one ear leaned over a table. “You’re early,” she said. “Where did he go?” The stallholder smiled without warmth. “You’ll have to be more specific.” Quinn scanned the moving crowd. At the far end of the hall, a narrow archway stood open. Beyond it, darkness. A smear of blood marked the stone beside the entrance. She started toward it. Someone caught her sleeve. Quinn pivoted hard, pinning a thin man’s wrist against the stall. He hissed through his teeth. A row of glass vials rattled behind him. “Let go,” he said. “Tell me where the man went.” The man’s eyes flicked to the token in her hand. Whatever he saw there made the color leave his face. He tugged once, then stopped fighting. “You don’t belong here,” he said. “That makes two of us.” From beyond the arch came a scuff of shoes, then a muffled thud. Quinn released him and moved. The crowd parted grudgingly, a river splitting around a stone. She felt dozens of eyes on her back. The carved token chilled her palm. Behind her, the thin man muttered something she couldn’t catch. At the archway, she paused long enough to listen. No shouting now. No footsteps. Only the low hum, threading through the stones. She thought of Morris’s file, the parts she’d read so often the pages had softened at the folds. She thought of the report that said the stairwell had been empty when they found him. Then she stepped into the dark.
created_at"2026-09-23T08:28:33.667Z" 9/23/2026, 8:28:33 AM
model"openai/gpt-6-luna-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency11092
moderation_latency(null)
generation_time37018
tokens_prompt888
tokens_completion2060
native_tokens_prompt810
native_tokens_completion2260
native_tokens_completion_images0
native_tokens_reasoning496
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"
usage0.001211
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790152113-pOAgofGXjou1kB92WdMP"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790152113-p8gFChj89OnBKw64Hed9"
upstream_id"resp_0b9bb24d7a23c206016ab38db289c487d1bdc58f19b01053f3"
provider_responses
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endpoint_id"05e94e02-b9c2-4bbb-ba55-4082ee9ad687"
id"resp_0b9bb24d7a23c206016ab38db289c487d1bdc58f19b01053f3"
is_byokfalse
latency2091
model_permaslug"openai/gpt-6-luna-20260922"
provider_name"OpenAI"
status200
total_cost0.001211
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
totalTags5
adverbTagCount0
adverbTags(empty)
dialogueSentences13
tagDensity0.385
leniency0.769
rawRatio0
effectiveRatio0
92.87% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1403
totalAiIsmAdverbs2
found
0
adverb"sharply"
count2
highlights
0"sharply"
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)
75.05% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1403
totalAiIsms7
found
0
word"silence"
count1
1
word"warmth"
count2
2
word"scanned"
count1
3
word"flicked"
count1
4
word"chilled"
count1
5
word"footsteps"
count1
highlights
0"silence"
1"warmth"
2"scanned"
3"flicked"
4"chilled"
5"footsteps"
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
narrationSentences148
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences148
filterMatches(empty)
hedgeMatches
0"started to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences156
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen46
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1403
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
79.84% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions30
wordCount1354
uniqueNames6
maxNameDensity1.4
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Raven3
Nest3
Quinn19
Silas1
Tube2
Morris2
persons
0"Raven"
1"Nest"
2"Quinn"
3"Silas"
4"Morris"
places(empty)
globalScore0.798
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences94
glossingSentenceCount1
matches
0"seemed deeper beneath her thumb, though she knew that was impossible"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1403
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences156
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs65
mean21.58
std22.61
cv1.047
sampleLengths
035
16
211
376
48
54
64
72
866
945
1085
117
123
133
1466
153
1638
175
1830
1916
204
214
226
233
2464
2512
2644
2711
2826
293
3010
315
3264
335
3474
356
3634
3715
3822
3950
409
415
4236
4312
443
455
4679
4714
4810
4917
98.15% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences148
matches
0"was gone"
1"been swallowed"
2"been dropped"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs240
matches
0"was already crossing"
1"was going"
2"wasn’t coming"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences156
ratio0.006
matches
0"Faded tiles ran along the walls; a rusted sign hung at a crooked angle, its lettering too worn to read."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1357
adjectiveStacks0
stackExamples(empty)
adverbCount44
adverbRatio0.032424465733235076
lyAdverbCount6
lyAdverbRatio0.004421518054532056
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences156
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences156
mean8.99
std6.32
cv0.702
sampleLengths
011
124
26
35
46
516
617
715
812
916
108
114
123
131
142
155
1617
1710
1812
1922
2012
2111
2211
2311
2446
2524
265
2710
287
293
303
319
326
3310
3415
3510
3616
373
3815
393
403
4117
425
434
445
4521
468
478
482
492
51.50% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.33974358974358976
totalSentences156
uniqueOpeners53
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount9
totalSentences134
matches
0"Somewhere behind her, the Raven’s"
1"Then he sprinted."
2"Just a black mouth beneath"
3"Then he looked back at"
4"Only a blank place in"
5"Then a crash."
6"Somewhere behind her, from the"
7"Only the low hum, threading"
8"Then she stepped into the"
ratio0.067
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount34
totalSentences134
matches
0"He didn’t look toward her."
1"She followed at half a"
2"His shoes slapped the pavement."
3"He vaulted a stack of"
4"She drew her warrant card"
5"He had a good lead"
6"She had spent three nights"
7"She still had no proof."
8"He glanced back at the"
9"Their eyes met."
10"She cut between two parked"
11"He dodged around a night"
12"She touched the radio clipped"
13"She tried again."
14"He had taken something from"
15"He turned it between finger"
16"She raised her voice."
17"He disappeared into the passage."
18"She could hear movement, metal"
19"She didn’t pick it up."
ratio0.254
75.67% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount103
totalSentences134
matches
0"The green neon above the"
1"Harlow Quinn watched its reflection"
2"He didn’t look toward her."
3"That was what made her"
4"Quinn stepped from the narrow"
5"The man cut east, fast"
6"She followed at half a"
7"Soho narrowed around them: wet"
8"The man turned sharply down"
9"Quinn lengthened her stride."
10"His shoes slapped the pavement."
11"He vaulted a stack of"
12"Quinn reached it in time"
13"She drew her warrant card"
14"The door at the far"
15"The man was already crossing"
16"He had a good lead"
17"Quinn followed, keeping him in"
18"She had spent three nights"
19"The clique around Silas’s bar"
ratio0.769
74.63% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences134
matches
0"If the entrance stayed open."
1"If the man stayed alive."
ratio0.015
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences63
technicalSentenceCount2
matches
0"She had spent three nights watching the Raven’s Nest, and two weeks before that following the same thin trail of names through police databases: men who turned …"
1"He had taken something from his pocket: a pale sliver that caught the lantern light."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount0
fancyTags(empty)
dialogueSentences13
tagDensity0.385
leniency0.769
rawRatio0
effectiveRatio0
94.9236%