Run: 2026-07-09-01KX41MPDS4C3G2X3CY588GDF9

Run Details

Duration:
14.7s
Cost:
$0.014971
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 abandoned station had been sealed for forty years, but Detective Harlow Quinn could still smell the old Tube in it: iron dust, damp concrete, stale electricity trapped beneath layers of paint. Her boots struck the platform with military precision. Once, the station had carried commuters beneath Camden toward somewhere brighter. Now its tiled walls sweated black water, and weeds pushed through the cracks between the rails. Emergency lamps had been strung along the platform, their red glow turning the puddles to blood. Uniformed officers stood in a loose ring around the body. Quinn stopped just beyond the cordon and checked her watch. The leather strap had softened with age, though the brass buckle remained clean. 02:17. The call had come twenty-three minutes earlier. “Detective.” DS Bell crossed toward her, tall and pale beneath a rain-spotted forensic jacket. He had arrived before her, as usual, and looked pleased with himself. “Victim’s male. Mid-thirties, estimated. No identification. No obvious weapon. We’ve got a possible witness.” “Possible?” “Woman found him. Says she heard a scream.” Quinn looked past him. The dead man lay beside the disused track, one arm twisted beneath his chest. His coat was expensive, black wool with a silver clasp at the throat. Blood had spread beneath him in a dark fan, but the body itself was strangely clean. No bruising on the hands. No defensive wounds. No grime on the knees or elbows. “Cause?” “Not confirmed. But I’d say stabbing.” “You’d say?” Bell crouched and pointed. A narrow puncture marked the victim’s shirt just below the ribs. “Small wound. Deep enough to kill, apparently. There’s blood on the fabric, though not much around him.” Quinn glanced at the rails. “And no blood on the track?” “Not yet. Forensics is still working.” “They’re working around footprints.” Bell’s expression tightened. “We had a lot of people coming through before the scene was secured.” “Who?” “Market traders. Witnesses. A few officers.” “What market?” He looked at her, then toward the tunnel mouth. “You know what this place is.” Quinn did. She had spent six months hearing contradictory reports about an illegal market beneath Camden: stolen antiquities, unlicensed drugs, forged documents, things more difficult to classify. The Veil Market, people called it. It moved every full moon, appearing in abandoned stations and disused cellars, always beneath a city that insisted such places were empty. Her partner, DS Morris, had been investigating similar rumors three years ago when he disappeared from a locked evidence room. No body had ever been found. Quinn had not believed in ghosts then. She did not believe in them now. But belief had become less important than pattern. “What did the witness say?” she asked. Bell nodded toward a woman seated on an overturned crate beside the wall. Eva Kowalski looked as if she had stepped out of a university library and fallen through the floor. Curly red hair framed her freckled face, and round glasses caught the emergency light. A worn leather satchel rested against her knees, bulging with books. She kept tucking a strand of hair behind her left ear. Quinn approached. “Miss Kowalski?” “Eva.” Her voice was steady, though her fingers were not. “Eva Kowalski.” “You found the body?” “I heard him cry out. I came around the corner and he was already on the ground.” “Did you see anyone leave?” “No.” “Anyone near him?” Eva hesitated. Her green eyes shifted toward the tunnel. “Miss Kowalski.” “There was someone standing over him.” Bell came up behind Quinn. “You didn’t mention that before.” “I was frightened.” “You were asked whether you saw anyone.” “I said I heard a scream.” Quinn watched her tuck her hair back again. The movement was practiced, almost automatic. Anxiety, perhaps. Or a delay tactic. “What did this person look like?” Quinn asked. Eva swallowed. “I couldn’t see their face. They wore a dark coat. They were holding something.” “What?” “A knife, I think.” “Which hand?” Eva’s gaze dropped to the body. “The right.” Bell made a small, satisfied noise. “There we are.” Quinn did not look at him. “And then?” “The person turned toward the tunnel. The lights went out.” “Only the lights?” “Yes.” “How long?” “Perhaps ten seconds. Maybe less. When they came back, no one was there.” Bell gestured toward the lamps. “Power fluctuation. The old station’s wiring is unstable. Killer used the darkness to escape.” “Through the tunnel?” “Most likely.” Quinn turned to the black mouth of the passage. The rails disappeared beneath a sagging archway, where darkness pooled thicker than it should have. The air flowing from it was cold enough to raise the hairs along her neck. “Why would the killer leave footprints behind?” she asked. Bell glanced down. A trail of wet boot prints led from the tunnel to the body. They stopped beside the corpse. “Could be the victim’s,” Bell said. Quinn crouched. The prints were narrow, deep-heeled, and sharply defined. They belonged to a woman’s boot, perhaps a size six. The sole pattern repeated cleanly in each impression. The victim wore smooth leather shoes, size eleven. Bell frowned. “Then the witness saw the killer approach.” “From the tunnel.” “Yes.” “And leave?” “The killer could have stepped over the track.” Quinn examined the nearest print. Water shone in its grooves. The imprint was fresh, but the puddle beside it held a thin skin of dust undisturbed since the print had been made. The boot had not merely crossed the floor. It had arrived through it. She rose. “Where’s the knife?” “Not recovered.” “Then we have a witness who saw a weapon, a body with a puncture wound, and no weapon.” “Thrown into the tunnel.” “After the lights came back?” Bell nodded. “Why no blood trail?” “Maybe the weapon was wiped.” “Blood doesn’t vanish from a wound because someone wipes the knife.” Eva looked up sharply. Quinn caught it. Fear, not at the body. At the statement. “Miss Kowalski,” she said, “you told us the lights went out after the attacker turned toward the tunnel.” “Yes.” “How did you know where they were facing?” “I saw their outline.” “In darkness?” “The emergency lamps were still glowing.” “They went out.” “For a moment.” “Then you couldn’t have seen the outline.” Eva’s hand rose to her hair and stopped halfway. Bell shifted. “Detective, she’s been through a shock.” Quinn pointed at the corpse. “The wound is on the left side.” Bell looked down. “So?” “If the attacker stood over him and stabbed with the right hand, they would have to be facing the victim’s feet or twist across the body. Neither matches the position described by the witness. But the puncture is too neat for a struggle. The fabric around it is singed.” She leaned closer. A faint gray rim circled the wound. Not burn damage exactly. The cloth had tightened, as though heat had passed through it without flame. “Chemical?” Bell asked. “Possibly.” Eva said, “It isn’t chemical.” Silence settled across the platform. Quinn turned. “You seem certain.” Eva looked at the body, then at the dark tunnel. She began tucking her hair behind her ear again, faster now. Bell stepped toward her. “What aren’t you telling us?” “I don’t know what happened.” “But you know what didn’t.” Eva’s satchel slipped from her knees. One of the books inside struck the floor with a heavy thump. Quinn saw the title stamped in faded gold: A Catalogue of Liminal Instruments. “Open the bag,” she said. Eva stared at her. “Now.” “I have nothing to do with the murder.” “I didn’t ask whether you did.” Eva’s cheeks colored. Slowly, she opened the satchel. Books crowded the interior—manuscripts, photocopies, a brass ruler, a magnifying glass. Beneath them lay a small brass compass, its casing green with verdigris. Protective sigils had been etched around the face. The needle spun once, twice, then snapped toward the tunnel. Bell gave a disbelieving laugh. “That’s your big breakthrough? A compass?” “It isn’t pointing north,” Eva said. Quinn took it from the satchel. The metal was cold against her palm. The needle trembled toward the archway, unwavering. “What does it point toward?” Eva’s lips parted. “The nearest rift.” Bell swore under his breath. “You’re saying there’s a gas leak?” “No.” “Some kind of electrical field?” “No.” Quinn held the compass closer to the tunnel. The needle jerked violently. Beneath the old station’s smell, she detected something else now: wet stone, ash, and the sharp metallic scent of a storm. The body’s blood had spread in a fan. Not outward from the wound, she realized, but away from it. The victim had been pulled backward while bleeding. The mark beneath his coat was not a stab wound. It was an entry point. She knelt and lifted the edge of the coat. A second puncture marked the fabric between the shoulder blades. Bell went still. Quinn looked at the body’s hands. There was no blood beneath the fingernails, no dirt, no sign he had fallen. His shoes did not touch the ground properly. The heels hovered a fraction above the wet concrete. Not hovered. Rested on a thin film of black glass. “Get everyone off the platform,” Quinn said. Bell stared at her. “What?” “Move.” Something clicked in the tunnel. The lamps flickered red. Every shadow on the platform leaned toward the archway. Eva rose too quickly, clutching her satchel. “It’s opening.” “What is?” “The rift.” Quinn watched the blackness ripple. A pale line appeared in the air, vertical and narrow, like a cut in fabric. Beyond it lay no tunnel, no brick, no abandoned track. There was only a distant silver landscape under a sky without stars. The dead man’s coat clasp shivered. Quinn reached for her radio. Static screamed through the speaker. From the rift came the faint sound of footsteps approaching over glass. Bell backed away. “Detective?” Quinn’s grip tightened around the compass. The needle pointed straight into the impossible opening. And then, from somewhere beyond the silver dark, a man called her name. “Morris?” she whispered. The footsteps stopped. The rift widened by an inch. Quinn drew her service pistol and stepped between it and the others. “Nobody moves.” Eva’s voice shook behind her. “That won’t stop what’s coming.” “No,” Quinn said, keeping her eyes on the opening. “But it might tell me what already came through.” She pointed at the corpse. The victim’s shadow lay in the wrong direction. It stretched toward the rift, though the emergency lamps shone from behind it. And as Quinn watched, the shadow slowly lifted its head.
created_at"2026-07-09T18:18:34.306Z" 7/9/2026, 6:18:34 PM
model"openai/gpt-5.6-luna-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency351
moderation_latency(null)
generation_time14207
tokens_prompt923
tokens_completion3087
native_tokens_prompt835
native_tokens_completion2356
native_tokens_completion_images0
native_tokens_reasoning0
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"
usage0.014971
router(null)
provider_responses
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endpoint_id"eebea444-34a5-4642-a766-cb319471d33a"
id"resp_02ef2f89cc57c801016a4fe5fa5ec48196bfb48812fd6a7547"
is_byokfalse
latency205
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-1783621114-OyI7PM2OvsjWYlf6muE4"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783621114-cEnce3CKp1YbDAxmThZG"
upstream_id"resp_02ef2f89cc57c801016a4fe5fa5ec48196bfb48812fd6a7547"
total_cost0.014971
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
totalTags12
adverbTagCount0
adverbTags(empty)
dialogueSentences106
tagDensity0.113
leniency0.226
rawRatio0
effectiveRatio0
85.73% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1752
totalAiIsmAdverbs5
found
0
adverb"sharply"
count2
1
adverb"slowly"
count2
2
adverb"quickly"
count1
highlights
0"sharply"
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)
80.02% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1752
totalAiIsms7
found
0
word"silence"
count1
1
word"etched"
count1
2
word"trembled"
count1
3
word"unwavering"
count1
4
word"flickered"
count1
5
word"footsteps"
count2
highlights
0"silence"
1"etched"
2"trembled"
3"unwavering"
4"flickered"
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
narrationSentences158
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences158
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences251
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen49
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1751
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions21
unquotedAttributions0
matches(empty)
33.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions76
wordCount1205
uniqueNames15
maxNameDensity2.32
worstName"Quinn"
maxWindowNameDensity4
worstWindowName"Quinn"
discoveredNames
Detective1
Harlow1
Quinn28
Tube1
Camden2
Bell20
Veil1
Market1
Morris1
Kowalski1
Eva15
Silence1
Catalogue1
Liminal1
Instruments1
persons
0"Harlow"
1"Quinn"
2"Camden"
3"Bell"
4"Morris"
5"Kowalski"
6"Eva"
places(empty)
globalScore0.338
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences91
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.571
wordCount1751
matches
0"Not outward from the wound, she realized, but away from it"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences251
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs156
mean11.22
std12.61
cv1.124
sampleLengths
032
151
210
331
41
539
61
78
84
958
101
116
122
1332
1411
156
164
1716
181
196
202
2115
2255
2320
246
2522
267
2767
282
292
3012
314
3217
335
341
353
369
372
386
3910
403
417
426
4320
448
4516
461
474
482
498
91.94% Passive voice overuse
Target: ≤2% passive sentences
passiveCount6
totalSentences158
matches
0"been sealed"
1"been found"
2"was practiced"
3"been made"
4"been etched"
5"been pulled"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs203
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences251
ratio0.004
matches
0"Books crowded the interior—manuscripts, photocopies, a brass ruler, a magnifying glass."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1209
adjectiveStacks0
stackExamples(empty)
adverbCount41
adverbRatio0.03391232423490488
lyAdverbCount13
lyAdverbRatio0.010752688172043012
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences251
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences251
mean6.98
std5.55
cv0.795
sampleLengths
032
18
211
316
416
510
610
713
81
97
101
1113
1212
1314
141
158
164
1714
1813
1916
205
213
227
231
246
252
264
2711
2817
295
306
316
324
333
3413
351
366
372
389
396
402
4125
426
4322
4420
456
467
477
488
497
50.93% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats11
diversityRatio0.332
totalSentences250
uniqueOpeners83
49.75% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences134
matches
0"Once, the station had carried"
1"Slowly, she opened the satchel."
ratio0.015
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences134
matches
0"Her boots struck the platform"
1"He had arrived before her,"
2"His coat was expensive, black"
3"He looked at her, then"
4"She had spent six months"
5"It moved every full moon,"
6"Her partner, DS Morris, had"
7"She did not believe in"
8"She kept tucking a strand"
9"Her voice was steady, though"
10"Her green eyes shifted toward"
11"They stopped beside the corpse."
12"They belonged to a woman’s"
13"It had arrived through it."
14"She leaned closer."
15"She began tucking her hair"
16"It was an entry point."
17"She knelt and lifted the"
18"His shoes did not touch"
19"She pointed at the corpse."
ratio0.157
60.75% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount107
totalSentences134
matches
0"The abandoned station had been"
1"Her boots struck the platform"
2"Emergency lamps had been strung"
3"Quinn stopped just beyond the"
4"The leather strap had softened"
5"The call had come twenty-three"
6"DS Bell crossed toward her,"
7"He had arrived before her,"
8"Quinn looked past him."
9"The dead man lay beside"
10"His coat was expensive, black"
11"Blood had spread beneath him"
12"Bell crouched and pointed."
13"A narrow puncture marked the"
14"Quinn glanced at the rails."
15"Bell’s expression tightened."
16"He looked at her, then"
17"She had spent six months"
18"The Veil Market, people called"
19"It moved every full moon,"
ratio0.799
37.31% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences134
matches
0"Now its tiled walls sweated"
ratio0.007
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences47
technicalSentenceCount1
matches
0"It moved every full moon, appearing in abandoned stations and disused cellars, always beneath a city that insisted such places were empty."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags12
fancyCount1
fancyTags
0"she whispered (whisper)"
dialogueSentences106
tagDensity0.113
leniency0.226
rawRatio0.083
effectiveRatio0.019
89.6590%