Run: 2026-07-09-01KX41A6JN7TH0B1EX11VP4GET

Run Details

Duration:
14.8s
Cost:
$0.014605
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
By the time Detective Harlow Quinn reached the bottom of the stairs, the station clock had stopped at 2:17. It hung above the tiled platform, its brass hands fixed beneath a film of soot. The clock had no business being there. Quinn had studied the abandoned Camden spur’s plans on the ride over. The station had been sealed in 1986, its platforms stripped and its electrical lines disconnected. There was no clock in the photographs, no staircase leading down from the derelict service entrance, and certainly no crowd gathered beneath the city. Yet the crowd was there. Figures in dark coats and bright scarves stood beneath the dead station lamps, their faces pale and watchful. A woman with silver teeth whispered into a telephone with no cord. A man in a butcher’s apron held a cage containing something that moved under a black cloth. Stalls occupied the platform where the old tracks should have been, their awnings sagging over shelves of bottled smoke, bone-handled knives, glass jars full of blue fire. The air smelled of damp brick, hot metal, and something sweetly rotten. Quinn kept one hand near her holster as she stepped off the final stair. Her leather watch pressed cool against her left wrist. Sergeant Bell came behind her, breathing hard, one hand on the rail. “Tell me this is an illegal rave,” he said. “It isn’t.” “You sound very sure.” “I’m sure raves don’t usually have armed sentries.” At the far end of the platform, two men in gray coats watched them with the rigid patience of guards. Each carried a hooked staff. Neither looked surprised to see the police. A bone token lay in Quinn’s palm, warm from her grip. It was no larger than a shirt button, polished smooth and marked with a black line. A plainclothes officer had found it in the dead man’s pocket and, after three phone calls and one panicked confession, brought Quinn to the station entrance. The token had opened a brick wall that should have been solid. Now the wall stood behind them, seamless and blind. Bell stared at it. “We’re going back out.” “In a minute.” “Detective—” “Crime scene first.” Military precision had served Quinn better than courage. She moved through the market without hurrying, letting the crowd part around her. The stalls were arranged along the platform in a rough horseshoe, all facing a central kiosk that might once have sold newspapers. A blue police light pulsed inside the kiosk, though no vehicle could have reached the underground station. Eva Kowalski stood beside it. Her curly red hair was gathered badly at the back of her head, loose strands escaping around her round glasses. She wore a brown coat and clutched her worn leather satchel against her ribs. Freckles stood out sharply on her pale complexion. She tucked a curl behind her left ear when Quinn approached. “You came,” Eva said. “You called.” “I said someone was dead.” “You said someone had been murdered inside a place that doesn’t exist.” “It exists.” Quinn looked around at the impossible market. “That’s not the part I’m disputing.” Eva’s green eyes flicked toward Bell. “He shouldn’t be here.” “He’s my colleague.” “He’ll see what he expects to see.” Bell gave her a flat look. “I’m seeing a lot of things I didn’t expect.” The body lay inside the kiosk. The dead man had been placed on his back across a counter crowded with ledgers, brass instruments, and small stoppered bottles. He was in his fifties, perhaps, with a narrow face and a beard trimmed into two sharp points. His coat was dark green velvet, his throat bare. A neat circular wound marked the center of his chest. There was no blood on the counter, though a broad red stain spread beneath him and dripped down the front in long, glossy fingers. Quinn crouched at the kiosk entrance. No one had touched the body, Eva assured her. She had found him twenty minutes earlier after hearing a crash. “The guards let you through?” Quinn asked. “They know me.” “That isn’t an answer.” “It’s the only one I have.” Quinn examined the floor. Dust filmed the tiles everywhere except beneath the kiosk. There, a trail of blood ran from the body to the platform edge. The trail was irregular, broken by bare footprints. It crossed in front of the stall opposite and vanished beneath a stack of wooden crates. Quinn pointed. “Who moved him?” “No one,” Eva said. “Then why does the blood trail leave the body?” “Because the blood came from somewhere else.” Bell frowned. “That’s not how blood works.” Eva opened her satchel and pulled out a small notebook. “The victim is Orsin Vale. He sells information. Not ordinary information.” “Does he sell drugs?” Bell asked. “Sometimes.” “Weapons?” “Sometimes.” “Children?” Eva’s expression hardened. “No.” Quinn studied the dead man’s hands. His right fist was closed around a strip of gray cloth. His left had been cut across the palm, the wound shallow and deliberate. A line of blood ran along his wrist and stopped at the leather cuff of a silver bracelet. “Who found him?” Quinn asked. “I did.” “Why?” “Vale was supposed to meet me here.” “For what?” Eva hesitated. Then she reached into her satchel and removed a brass compass. It was small enough to fit in Quinn’s palm, its casing green with verdigris. Protective sigils had been etched around the face, fine as insect legs. The needle trembled, swung past north, and fixed toward the body. “An instrument,” Eva said. “It points toward supernatural rifts or portals.” Bell laughed once, without humor. “Of course it does.” Quinn ignored him. “You bought it from this market?” “Three months ago.” “Why bring it tonight?” “Because it started pointing here yesterday.” The compass needle quivered. It did not point at Vale’s chest. It pointed through him, toward the back wall of the kiosk. Quinn stood. The wall was tiled in cracked white ceramic. A poster advertising a train to Highgate peeled from it in strips. Beneath the poster, the grout had darkened into a vertical line. Quinn ran a gloved finger over the tiles. They were cold—colder than the air, cold enough to sting through the glove. “Your interpretation,” Quinn said to Eva. “Go on.” Eva glanced at the body. “Vale didn’t die here.” “That’s obvious from the blood.” “No. I mean he was killed somewhere else entirely. Somewhere connected to this place.” “By a portal?” “By whatever is on the other side of one.” Bell folded his arms. “There’s a simpler explanation. Someone stabbed him, dragged him here, and used all this theater to frighten witnesses.” Quinn turned to the blood trail. “If he was dragged, where are the drag marks?” “Under the blood.” “No. The dust is undisturbed on either side of the trail. There’s no smear beneath the body either. He was carried.” “Four men could carry him.” “Four men would leave footprints.” Bell looked toward the crowd. “They wiped them.” “Then why leave these?” She pointed to the bare footprints. There were six. Each print was narrow and long, the toes pressed deeply into the dust. They began at the body, crossed the blood, and ended at the crates. None pointed toward the kiosk entrance. None belonged to a human shoe. Quinn went to the crates. The nearest was stenciled with a symbol resembling an eye split down the middle. She lifted it aside. Behind it, the station wall had opened into blackness. Not a doorway. Not a tunnel. Blackness with depth. A faint wind moved through the market, lifting Eva’s hair and stirring the dead man’s coat. Somewhere beyond the opening, something clicked three times. Quinn drew her weapon. The market fell silent. Bell whispered, “What is that?” “A rift,” Eva said. Quinn kept her eyes on the opening. “You’re certain?” “No.” “Good.” She crouched again and looked at the blood trail from the other side. It had not been dragged beneath the crates. It had flowed toward them, uphill over the uneven tiles, against gravity. The dead man’s wound was a perfect circle, edges cauterized. No knife had made it. His blood had not spilled from the wound; it had emerged from the dark and poured across him afterward. Quinn’s gaze dropped to his closed fist. The gray cloth was not cloth. It was a narrow strip of skin, patterned with tiny black scales. She remembered Morris. Three years ago, beneath a railway arch in Southwark, her partner had vanished from a locked room. They had found his blood on the ceiling and a door-shaped burn in the brick. Quinn had spent eighteen months proving someone had murdered him. Every theory had failed. Every witness had lied. The case had been closed without a body. Now the black opening breathed cold air across her face. The clicking came again, closer. Eva touched her arm. “We need to leave.” “Not yet.” Quinn looked back at Vale. The silver bracelet on his wrist bore a tiny engraving: a three-pointed mark she recognized from the old Southwark evidence photographs. It had been hidden in the corner of Morris’s notebook, drawn three times in blue ink. The dead man had not been killed for his money or his information. He had been killed because he had opened something. And whatever had come through had taken the blood trail back with it. Quinn rose and faced the market guards. “Seal this platform.” The gray-coated men exchanged glances. “You don’t command this place,” one said. Quinn lifted her warrant card. “I command the murder investigation.” A shape moved behind the rift, tall enough to brush the unseen ceiling. Eva’s compass began to spin. Quinn tightened her grip on the gun. The evidence no longer failed to add up. It had been telling the truth all along. The crime scene was not where the murder had happened. It was where the murderer had left the door open.
created_at"2026-07-09T18:12:50.396Z" 7/9/2026, 6:12:50 PM
model"openai/gpt-5.6-luna-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2222
moderation_latency(null)
generation_time14550
tokens_prompt923
tokens_completion2885
native_tokens_prompt835
native_tokens_completion2295
native_tokens_completion_images0
native_tokens_reasoning171
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"
usage0.014605
router(null)
provider_responses
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endpoint_id"eebea444-34a5-4642-a766-cb319471d33a"
id"resp_0dd5270b9aca8a1d016a4fe4a277ec8190866406212be0a3ff"
is_byokfalse
latency328
model_permaslug"openai/gpt-5.6-luna-20260709"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1783620770-Yl7CIF8x1p1rcJhLSG9m"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783620770-fvUtjY7yRowQm5RmFT4b"
upstream_id"resp_0dd5270b9aca8a1d016a4fe4a277ec8190866406212be0a3ff"
total_cost0.014605
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags10
adverbTagCount0
adverbTags(empty)
dialogueSentences71
tagDensity0.141
leniency0.282
rawRatio0
effectiveRatio0
90.95% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1657
totalAiIsmAdverbs3
found
0
adverb"sweetly"
count1
1
adverb"very"
count1
2
adverb"sharply"
count1
highlights
0"sweetly"
1"very"
2"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)
78.88% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1657
totalAiIsms7
found
0
word"pulsed"
count1
1
word"flicked"
count1
2
word"velvet"
count1
3
word"etched"
count1
4
word"trembled"
count1
5
word"quivered"
count1
6
word"perfect"
count1
highlights
0"pulsed"
1"flicked"
2"velvet"
3"etched"
4"trembled"
5"quivered"
6"perfect"
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
narrationSentences142
matches
0"looked surprised"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences142
filterMatches
0"watch"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences202
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen28
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1656
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions11
unquotedAttributions0
matches(empty)
33.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions65
wordCount1326
uniqueNames11
maxNameDensity2.19
worstName"Quinn"
maxWindowNameDensity4
worstWindowName"Quinn"
discoveredNames
Detective1
Harlow1
Quinn29
Camden1
Bell10
Kowalski1
Eva15
Vale2
Highgate1
Morris2
Southwark2
persons
0"Harlow"
1"Quinn"
2"Bell"
3"Kowalski"
4"Eva"
5"Morris"
places
0"Vale"
1"Southwark"
globalScore0.406
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences97
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1656
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences202
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs113
mean14.65
std18.17
cv1.24
sampleLengths
019
173
25
374
412
535
69
72
84
98
1032
1165
129
138
143
151
163
1760
185
1953
204
212
225
2312
242
2513
2610
273
287
2915
306
3182
3226
337
343
354
366
3750
385
394
409
417
427
4321
446
451
461
471
481
494
75.61% Passive voice overuse
Target: ≤2% passive sentences
passiveCount12
totalSentences142
matches
0"been sealed"
1"were arranged"
2"was gathered"
3"been placed"
4"been etched"
5"was tiled"
6"was stenciled"
7"been dragged"
8"been closed"
9"been hidden"
10"been killed"
11"been killed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs212
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount1
flaggedSentences2
totalSentences202
ratio0.01
matches
0"They were cold—colder than the air, cold enough to sting through the glove."
1"His blood had not spilled from the wound; it had emerged from the dark and poured across him afterward."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1331
adjectiveStacks0
stackExamples(empty)
adverbCount25
adverbRatio0.018782870022539443
lyAdverbCount6
lyAdverbRatio0.004507888805409466
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences202
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences202
mean8.2
std5.5
cv0.671
sampleLengths
019
115
27
312
415
524
65
718
812
917
1027
1112
1214
139
1412
159
162
174
188
1920
205
217
2211
2316
2426
2512
269
274
284
293
301
313
328
3313
3422
3517
365
3720
3814
398
4011
414
422
435
4412
452
467
476
486
494
44.72% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats13
diversityRatio0.3069306930693069
totalSentences202
uniqueOpeners62
52.08% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences128
matches
0"Then she reached into her"
1"Somewhere beyond the opening, something"
ratio0.016
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount31
totalSentences128
matches
0"It hung above the tiled"
1"Her leather watch pressed cool"
2"It was no larger than"
3"She moved through the market"
4"Her curly red hair was"
5"She wore a brown coat"
6"She tucked a curl behind"
7"He was in his fifties,"
8"His coat was dark green"
9"She had found him twenty"
10"It crossed in front of"
11"His right fist was closed"
12"His left had been cut"
13"It was small enough to"
14"It did not point at"
15"It pointed through him, toward"
16"They were cold—colder than the"
17"She pointed to the bare"
18"They began at the body,"
19"She lifted it aside."
ratio0.242
34.22% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount109
totalSentences128
matches
0"It hung above the tiled"
1"The clock had no business"
2"Quinn had studied the abandoned"
3"The station had been sealed"
4"Figures in dark coats and"
5"A woman with silver teeth"
6"A man in a butcher’s"
7"Stalls occupied the platform where"
8"The air smelled of damp"
9"Quinn kept one hand near"
10"Her leather watch pressed cool"
11"Sergeant Bell came behind her,"
12"Each carried a hooked staff."
13"Neither looked surprised to see"
14"A bone token lay in"
15"It was no larger than"
16"A plainclothes officer had found"
17"The token had opened a"
18"Bell stared at it."
19"Military precision had served Quinn"
ratio0.852
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount3
totalSentences128
matches
0"By the time Detective Harlow"
1"Now the wall stood behind"
2"Now the black opening breathed"
ratio0.023
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences62
technicalSentenceCount1
matches
0"A man in a butcher’s apron held a cage containing something that moved under a black cloth."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags10
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags10
fancyCount1
fancyTags
0"Bell whispered (whisper)"
dialogueSentences71
tagDensity0.141
leniency0.282
rawRatio0.1
effectiveRatio0.028
90.3264%