Run: 2026-09-23-01M37HVTD61KJAD8QDTQH5BVGF

Run Details

Duration:
1m 1s
Cost:
$0.030010
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="4414" name="Eva Kowalski" aliases="Eva, Evie" pronouns="she/her" species="Human" storyRole="Best Friend"> <eyeColor>green</eyeColor> <hair>curly red</hair> <height>5'4"</height> <age>26</age> <glasses>round glasses</glasses> <satchel>worn leather satchel full of books</satchel> <freckles>freckled complexion</freckles> <nervousHabit>tucking hair behind her left ear</nervousHabit> <description>Aurora's childhood friend and an occult researcher.</description> <backstory>Moved to London two years before Aurora and works as a research assistant at the British Museum's restricted archives. She holds a master's degree in Ancient History from Oxford.</backstory> </character> <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> <item id="2004" name="Veil Compass" aliases="the Compass, shadow compass" type="Tool" origin="The Veil Market"> <casingMaterial>small brass compass</casingMaterial> <faceMarkings>face etched with protective sigils</faceMarkings> <needle>points toward the nearest supernatural rift or portal</needle> <patina>casing has a patina of verdigris</patina> <creator>crafted by a Shade artisan</creator> <description>A compass attuned to supernatural energy.</description> </item> </codex> Write a fully fleshed out scene of at least 1000 words in the mystery genre. A detective arrives at a crime scene in an unusual location. Something is wrong — the evidence doesn't add up. A colleague is present, offering a different interpretation. Through careful observation and deduction, the detective begins to see what others have missed. 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 body lay at the bottom of nineteen steps. Quinn counted them on her way down, one hand skimming the damp brick wall. Above her, Camden traffic thudded over the sealed entrance to the old Tube station. Below, portable lamps threw white light across a platform tiled in blue and cream. The rails had been lifted years ago. Water had found the track bed instead, collecting in black pools between the sleepers left behind. Detective Sergeant Shah waited beside the body in paper overalls. “Male, forties, no identification. A contractor found him when he came to check a reported break-in. Looks like he fell down the stairs.” Quinn stopped on the last step. The man lay on his side, facing the platform wall, one arm trapped beneath his chest. Blood had pooled behind his head. His grey coat was buttoned to the throat, though the station was warm enough to make the back of Quinn’s neck damp. “Who said break-in?” “Control got an anonymous call at five twelve. Contractor arrived twenty minutes later. Padlock upstairs had been cut.” Shah glanced at her notebook. “He says the council has no work scheduled down here.” Quinn looked back up the stairs. A cordon ran across the street entrance. Beyond it she could see a slice of pale morning sky. “Anyone hear him fall?” “Not so far.” A scenes-of-crime officer stepped aside to let her through. Quinn crouched near the man’s feet. The soles of his boots were dark with mud. The steps she had just descended were coated in pale grit, disturbed by the contractor and the officers before her, but there was no mud on them. “He could have come in from the tunnel,” Shah said, following her gaze. “Climbed the stairs, lost his footing coming back down.” “Maybe.” The lower stair treads bore scuffs from police overshoes. Higher up, a pair of ridged boot prints climbed toward the street. None led down. Quinn stood. “Has anyone moved him?” “Only checked for a pulse. Paramedics said they left him as found.” She took in the position of his limbs, the coat bunched beneath one shoulder, the blood at his head. From the landing, it would be easy to believe he had tumbled. From here, she could see no mark on the sharp edge of the bottom step. “What’s the theory on the cut lock?” she asked. “Scrap thieves. He came with them, or after them. Somebody ran when he fell.” Shah had a talent for finding the ordinary explanation before anyone else found their notebook. It made her a good detective more often than not. Quinn walked along the platform. An enamel sign pointed toward a way out that had been bricked up. A faded advertisement promised a seaside holiday for nine pounds. Under it, a municipal clock showed seventeen minutes past one. Its hands were furred with rust. Her worn leather watch showed 6:41. “Contractor find anything missing?” she asked. “He hasn’t spotted anything. There isn’t much left to steal.” A faint smell reached Quinn beneath the damp and old dust. Hot sugar, perhaps. Roasting chestnuts. She looked toward the tunnel mouth, where the lamps failed to reach. “Generator exhaust?” she asked. “Petrol. Why?” “Something else.” Shah drew a breath. “I get wet brick.” Quinn came back to the body. The man’s near hand was visible now, pale fingers slightly curled. Green had stained the pads of his thumb and forefinger. “Can we look in his pockets?” “SOCO’s finished the initial photographs.” Quinn waited while the officer photographed the coat again. At her nod, he unbuttoned it and began laying the contents on a clean sheet: a folded receipt, three pound coins, a key with a red plastic tag, and a disc of yellow-white bone. The disc was no bigger than a shilling, pierced near one edge. Someone had polished it smooth with handling. Quinn kept her face still. Three years earlier, DS Morris had gone missing inside a building with one entrance. He had left his phone and his warrant card on a desk, and a small round object on the floor beside it. She had taken it for a button until a lab technician told her it was bone. By the time she had gone back to see it, the evidence bag had been signed out under a name no one at the lab recognised. “What is it?” Shah asked. “I don’t know.” The officer turned the coat pocket inside out. Something struck the floor with a hard, bright tap. A small brass compass rolled to the edge of the blood pool. Its casing was green with verdigris. Quinn picked it up by the rim of its open lid. Fine marks had been cut around the face, too deliberate to be scratches. “Someone paid for that,” Shah said. The needle swung toward the bricked-up way out. Quinn turned the compass. The needle swung back. She held it beside the steel handrail; it trembled but kept its bearing. “East?” Shah asked. “North’s behind us.” “Broken, then.” Quinn looked toward the wall. Behind the holiday poster, blue tiles ran down to the platform floor. They were the same blue as a fleck caught on the dead man’s collar. She left the compass with the officer and went over. The poster’s bottom corner had come loose. Someone had pasted it over a shallow recess in the tiling. Quinn pressed gently against one edge. A tile shifted. “Don’t touch any more,” Shah called. “We’ll get photographs.” Quinn stepped back. At floor level, the mortar along the recess was a shade lighter than the rest. Fresh grit lay on the tiles. A narrow brown smear marked the edge of the poster at shoulder height. Shah joined her. “You think he hit the wall?” “I think he was near it.” “He could have leaned against it before he went upstairs.” “He had mud on his boots when he died. Where are the prints back to the stairs?” Shah looked down the platform. The tiles between the recess and the body were dusty, but not empty. They held two broad, faint tracks, each about the width of a man’s shoulders. “Dragged?” Shah said. Quinn nodded. “Across the floor. Then lifted the last few feet, so he’d be at the bottom of the steps.” The scenes-of-crime officer brought a lamp. In its low light, the tracks became clearer. Fine blue dust lay along one seam of the man’s coat. The same dust had settled on the ledge beneath the poster. Shah crouched to examine it. “That’s a lot of work to make a fall look accidental.” “Less work than explaining what happened here.” A sound came from behind the tiled wall: three dull knocks, evenly spaced. Shah rose. “Pipes?” They waited. The sound did not repeat. From the tunnel came a brief murmur that might have been voices, cut off before Quinn could make out a word. “The contractor said he checked the whole station,” Shah said. “Did he check behind this?” “He didn’t know there was a behind.” Quinn looked again at the recess. There was no visible handle. One of the tiles near its centre had a shallow circular hollow, polished cleaner than the others. “Get the contractor down here,” she said. “Ask him when this wall went in. And have someone find the station plans.” Shah spoke into her radio. Quinn returned to the evidence sheet. The bone disc sat beside the dead man’s keys. On one face, worn almost beyond sight, someone had carved a circle around a single straight line. The compass needle pointed at the wall. She thought of Morris’s empty desk, the hurried way everyone had stopped asking how he could have left without passing the cameras. For three years she had tried to make those facts fit a building she knew. Now she looked across a station she did not. “Quinn?” Shah said. “The token,” Quinn said. “Photograph both sides. Then I want a closer look at that hollow in the tile.” Shah followed her gaze. The little recess was just wide enough for the disc. Beyond the wall, something metal rattled, followed by a voice too faint to understand. Both women heard it this time. Shah’s hand went to her radio. Quinn watched the needle hold steady in the officer’s gloved palm. Whatever lay behind the tiles, the dead man had carried two things that belonged to it. Someone had brought him out, hidden the way back in, and counted on the stairs to tell the rest of the story.
created_at"2026-09-23T16:33:59.216Z" 9/23/2026, 4:33:59 PM
model"openai/gpt-6-sol-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency10268
moderation_latency(null)
generation_time60978
tokens_prompt896
tokens_completion2410
native_tokens_prompt835
native_tokens_completion2834
native_tokens_completion_images0
native_tokens_reasoning1034
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"
usage0.03001
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790181239-s64iPNaHrvLYNhxyrPgM"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790181239-Ii7YwMOxW898NEbDsuSN"
upstream_id"resp_09236313f1928952016ab3ff77514c87d1b740e5af06572e6f"
provider_responses
0
endpoint_id"1cfc7d9d-4404-4b8e-9ee4-58ae45c9dcd4"
id"resp_09236313f1928952016ab3ff77514c87d1b740e5af06572e6f"
is_byokfalse
latency1312
model_permaslug"openai/gpt-6-sol-20260922"
provider_name"OpenAI"
status200
total_cost0.03001
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
totalTags14
adverbTagCount0
adverbTags(empty)
dialogueSentences46
tagDensity0.304
leniency0.609
rawRatio0
effectiveRatio0
92.97% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1423
totalAiIsmAdverbs2
found
0
adverb"slightly"
count1
1
adverb"gently"
count1
highlights
0"slightly"
1"gently"
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)
92.97% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1423
totalAiIsms2
found
0
word"pulse"
count1
1
word"trembled"
count1
highlights
0"pulse"
1"trembled"
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
narrationSentences120
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences120
filterMatches
0"watch"
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences152
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen35
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1423
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions15
unquotedAttributions0
matches(empty)
33.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions46
wordCount1115
uniqueNames6
maxNameDensity1.97
worstName"Quinn"
maxWindowNameDensity4
worstWindowName"Shah"
discoveredNames
Camden1
Tube1
Sergeant1
Shah19
Quinn22
Morris2
persons
0"Sergeant"
1"Shah"
2"Quinn"
3"Morris"
places(empty)
globalScore0.513
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences84
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1423
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences152
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs72
mean19.76
std17.04
cv0.862
sampleLengths
023
151
233
350
43
533
628
73
851
922
101
1124
126
1312
1446
159
1614
1725
1844
196
206
2110
2228
234
242
252
268
2727
286
295
3062
315
3278
335
343
3517
3642
376
3829
393
403
412
4231
4337
449
4537
469
476
4810
4917
87.72% Passive voice overuse
Target: ≤2% passive sentences
passiveCount6
totalSentences120
matches
0"been lifted"
1"was buttoned"
2"were coated"
3"been bricked"
4"were furred"
5"been signed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs184
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences152
ratio0.007
matches
0"She held it beside the steel handrail; it trembled but kept its bearing."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1121
adjectiveStacks1
stackExamples
0"shallow circular hollow, polished cleaner"
adverbCount20
adverbRatio0.01784121320249777
lyAdverbCount3
lyAdverbRatio0.0026761819803746653
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences152
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences152
mean9.36
std5.87
cv0.627
sampleLengths
09
114
214
314
47
516
610
723
86
916
106
1122
123
1323
1410
156
167
1711
184
193
209
216
229
2327
2413
259
261
279
2812
293
302
314
3212
3319
3412
3515
369
3714
3815
3910
405
4113
4210
4310
446
456
466
4710
4811
493
78.07% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.48026315789473684
totalSentences152
uniqueOpeners73
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences103
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount14
totalSentences103
matches
0"His grey coat was buttoned"
1"She took in the position"
2"It made her a good"
3"Its hands were furred with"
4"Her worn leather watch showed"
5"She looked toward the tunnel"
6"He had left his phone"
7"She had taken it for"
8"Its casing was green with"
9"She held it beside the"
10"They were the same blue"
11"She left the compass with"
12"They held two broad, faint"
13"She thought of Morris’s empty"
ratio0.136
76.50% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount79
totalSentences103
matches
0"The body lay at the"
1"Quinn counted them on her"
2"The rails had been lifted"
3"Water had found the track"
4"Detective Sergeant Shah waited beside"
5"Quinn stopped on the last"
6"The man lay on his"
7"Blood had pooled behind his"
8"His grey coat was buttoned"
9"Shah glanced at her notebook"
10"Quinn looked back up the"
11"A cordon ran across the"
12"A scenes-of-crime officer stepped aside"
13"Quinn crouched near the man’s"
14"The soles of his boots"
15"The steps she had just"
16"Shah said, following her gaze"
17"The lower stair treads bore"
18"None led down."
19"She took in the position"
ratio0.767
97.09% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences103
matches
0"By the time she had"
1"Now she looked across a"
ratio0.019
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences54
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags14
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags13
fancyCount0
fancyTags(empty)
dialogueSentences46
tagDensity0.283
leniency0.565
rawRatio0
effectiveRatio0
91.7553%