Run: 2026-07-09-01KX408YSWGYRAMF9ATXW4QZE4

Run Details

Duration:
12.8s
Cost:
$0.013315
Provider:
OpenAI

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <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> Continue the story using the following instructions: <instructions> 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. </instructions>

Model response

AI
Detective Harlow Quinn ducked beneath the strip of blue-and-white tape and entered the abandoned station. Cold air pressed against her face. It carried the smell of wet stone, old electricity, and something sweet rotting beneath the platforms. Her boots struck the tiled floor with clipped precision as she descended the last iron stair. The station had no name. London Transport had sealed it decades ago, though the painted roundel still clung to the far wall beneath layers of grime. The central bar had vanished. Someone had scratched a series of symbols across the circle, each mark filled with black wax. Uniformed officers stood along the platform, keeping their distance from the tracks. Quinn stopped at the bottom step and checked her watch. 02:17. “Tell me the body stayed where you found it.” Her colleague turned from the platform edge. Detective Sergeant Bell wore a raincoat over his suit, both sleeves darkened by drizzle. He held a paper cup in one hand and a torch in the other. “Morning to you as well.” “You called me out before dawn.” “I called you because the scene’s wrong.” Quinn looked towards the tracks. The body lay on the opposite platform, twenty feet away across two dead rails. A man in a dark overcoat rested on his back beside a rusted signal box. One arm stretched above his head. His fingers curled around a small brass compass. “Who found him?” “Two trespassers. They came through the service tunnel at one forty-three. Heard a voice. Then found him.” “Whose voice?” “They disagree. One heard a woman asking for help. The other heard a child.” “Convenient.” Bell sipped his coffee. “You think they killed him?” “I think people who enter abandoned stations after midnight rarely improve a crime scene.” She crossed towards the edge and crouched beside the nearest rail. The metal bore a dark sheen, but no rust had broken beneath it. She shone her torch along the track bed. No footprints. The platform opposite showed a scattering of marks: boot impressions around the body, a narrow heel near the signal box, and several overlapping smears that looked as though someone had dragged a heavy sack through dust. “Why did nobody cross?” she asked. Bell pointed at the gap. “Power was cut years ago, but the rails still carry a charge. The forensic officer touched one with a tester. It sparked.” “Both rails?” “Only the northbound line.” Quinn studied the body again. The dead man’s coat had been buttoned to the throat. His shoes remained clean. No blood stained the platform, though a thin red line marked his right temple. “Cause of death?” “Blunt-force trauma. One strike, according to the medic.” “Weapon?” “None found.” “Name?” “Jonas Vale. Thirty-eight. No fixed address. Police records show arrests for burglary, possession, and dealing in stolen antiquities.” Quinn’s gaze moved to the brass compass in his hand. “Antiquities?” Bell lifted his cup towards it. “That’s the odd part. The thing wasn’t there when the first officers arrived.” Quinn turned to him. “Who moved it?” “No one admits touching the body.” “Then it was placed after the scene was secured.” “Or it appeared.” “Objects don’t appear.” Bell gave her a tired smile. “You’ve spent too long in the rain.” Quinn stepped onto the edge of the platform. A yellow marker sat beside the body. Another marked the spot where the first officer had found a smear of blood. The distance between them measured almost four feet. “Your initial report says Vale collapsed here.” “He was found beside the signal box.” “Then why was his blood here?” “Dragged himself?” “With a fractured skull?” Bell looked across the tracks. “The medic thinks the head wound happened after death. He believes Vale was strangled first, then struck to stage the scene.” “Where’s the ligature?” “Not found.” Quinn stared at the dead man’s hands. His right fist held the compass. His left lay open, palm upwards. A crescent of black grit stained the skin below his thumb. She descended into the track bed. Bell’s expression tightened. “Quinn.” “Keep your coffee warm.” She stepped over the first rail and felt a faint vibration through the soles of her boots. Not the hum of electricity. The sensation resembled pressure behind the eyes, a pulse that rose and faded. The northbound rail shone beneath her torch. She touched nothing. The shine wasn’t water. It ran in a fine, unbroken line from the tunnel mouth to the body, though it stopped before the platform wall. Quinn climbed onto the opposite platform and examined the dead man. Vale’s overcoat had been torn at the left shoulder. Beneath it, his shirt showed a clean circular stain, dark at the centre and pale around the edges. The fabric hadn’t been cut. The mark resembled a ring pressed into wet cloth. She opened his coat pocket. A wallet. Three bank cards. A folding knife. A packet of cigarettes, dry despite the damp. No phone. “His phone’s missing,” Bell called from the other side. “Was it recovered?” “No signal. We searched the tunnel.” Quinn lifted Vale’s right hand by the wrist. The compass rested against his palm, its brass casing greened with verdigris. Protective sigils covered the face, etched in tight spirals around a clouded glass centre. The needle spun. Bell watched from across the rails. “That thing was pointing at the body when I saw it.” “It’s pointing at the tunnel now.” The needle jerked, swung back, and settled towards the signal box. Quinn crouched beside it. A hair clung to the dead man’s knuckles. Curly. Copper-red. She slipped it into an evidence bag. “Could be from the witness,” Bell said. “Neither witness has red hair.” “Then from the victim?” “Vale’s hair is black.” Bell crossed the rails despite the warning. He landed beside her with a grunt and looked at the compass. “What did you find?” “Your scene has a visitor.” “You mean the killer?” Quinn held up the bag. “Hair on the victim’s hand. Someone with red hair fought him.” Bell rubbed his jaw. “There’s no blood under his nails.” “He didn’t claw them. He grabbed them.” “Then why leave the hair?” “Because the killer didn’t leave it.” Bell glanced towards the tunnel. “You’re losing me.” “Look at the platform.” He followed her gaze. The body lay four feet from the blood marker. The boot impressions began beside the signal box, then crossed towards the corpse. None led back. Bell’s coffee cup trembled in his hand. “Could’ve been wiped,” he said. “Not the dust. Not with this much moisture in the air.” “Could’ve climbed down from the tunnel.” “Then why are there no marks on the track bed?” “Maybe they carried him.” “His shoes are clean. The soles would have picked up grit.” Bell looked at the compass. The needle had turned again. It now pointed directly at the tiled wall behind them. Quinn rose and swept her torch over the tiles. The wall appeared solid, but the dust pattern broke around a rectangular section. A narrow seam ran from floor to ceiling. Someone had sealed a doorway with plaster, then painted over it. The paint had blistered in a perfect oval around the compass’s direction. “Get the officers back,” Quinn said. Bell didn’t move. “What are you seeing?” “An entrance.” “To where?” Quinn pressed her palm near the seam. Heat seeped through the tiles. She withdrew her hand. “Not a room.” Bell’s face hardened. “We’re under Camden. There are service tunnels everywhere.” “Service tunnels don’t radiate heat through brick.” The compass needle quivered. A faint click sounded behind the wall. The officers on the opposite platform shouted. One of the trespassers began screaming. Quinn turned. The second man stood near the stairwell, his face bloodless. He pointed across the tracks, not at the sealed doorway, but at the dead body. Vale’s fingers had opened. The compass lay on the platform. Its needle no longer moved. Bell drew his weapon. “Nobody touch anything.” Quinn kept her eyes on Vale’s hand. A thin line of black grit ran from his palm to the edge of his sleeve. The same grit marked the floor beneath his shoulder, though no dust had disturbed the rest of the platform. She reached for the sleeve with a gloved hand and pulled it back. A narrow cut circled Vale’s wrist. The skin around it had gone grey. Beneath the cut, something had been written in ink so dark it seemed to swallow the torchlight. Three words. NO DOOR STAYS SHUT. Bell read them over her shoulder. “That wasn’t in the report.” “It was under his sleeve.” “Who wrote it?” Quinn looked at the sealed wall. The oval of blistered paint had widened. A thread of pale light leaked through the seam. “Someone who knew we’d come.” The station lights flickered. For one second, the dead signal box reflected in the tiled wall. In the reflection, a woman stood behind Quinn. Short. Curly red hair. Round glasses. A worn leather satchel pressed to her side. Quinn spun. The platform stood empty. Bell stared at her. “What?” Quinn’s left wristwatch ticked once, loud in the silence. She looked down. A smear of black grit crossed the leather strap. On the opposite platform, beneath the blue-and-white tape, Eva Kowalski’s satchel lay beside the tunnel mouth. The red hair on Vale’s knuckles gleamed in Quinn’s evidence bag. Eva had not yet arrived.
created_at"2026-07-09T17:54:41.091Z" 7/9/2026, 5:54:41 PM
model"openai/gpt-5.6-luna-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency517
moderation_latency(null)
generation_time12190
tokens_prompt1149
tokens_completion2691
native_tokens_prompt1009
native_tokens_completion2051
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"
usage0.013315
router(null)
provider_responses
0
endpoint_id"eebea444-34a5-4642-a766-cb319471d33a"
id"resp_0b7fc9efc7302f5c016a4fe0612dd481909496f8aaf0920542"
is_byokfalse
latency258
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-1783619681-xpF2tIwlfLYUOhO1brZt"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783619681-yNsQ64wM41n68PdrvAb0"
upstream_id"resp_0b7fc9efc7302f5c016a4fe0612dd481909496f8aaf0920542"
total_cost0.013315
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
totalTags5
adverbTagCount0
adverbTags(empty)
dialogueSentences77
tagDensity0.065
leniency0.13
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1562
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)
71.19% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1562
totalAiIsms9
found
0
word"measured"
count1
1
word"fractured"
count1
2
word"pulse"
count1
3
word"etched"
count1
4
word"trembled"
count1
5
word"perfect"
count1
6
word"quivered"
count1
7
word"flickered"
count1
8
word"silence"
count1
highlights
0"measured"
1"fractured"
2"pulse"
3"etched"
4"trembled"
5"perfect"
6"quivered"
7"flickered"
8"silence"
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
narrationSentences142
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences142
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences214
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen36
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1562
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
33.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions54
wordCount1113
uniqueNames8
maxNameDensity1.98
worstName"Quinn"
maxWindowNameDensity4
worstWindowName"Bell"
discoveredNames
Harlow1
Quinn22
Transport1
Sergeant1
Bell20
Vale6
Eva2
Kowalski1
persons
0"Harlow"
1"Quinn"
2"Transport"
3"Sergeant"
4"Bell"
5"Vale"
6"Eva"
7"Kowalski"
places(empty)
globalScore0.512
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences86
glossingSentenceCount1
matches
0"appeared solid but the dust pattern broke around a rectangular section"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.64
wordCount1562
matches
0"not at the sealed doorway, but at the dead body"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences214
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs145
mean10.77
std10.52
cv0.977
sampleLengths
015
138
25
342
412
511
69
735
85
96
107
115
1243
133
1417
152
1614
171
189
1914
2032
212
2236
236
2427
252
264
2733
283
298
301
312
321
3318
3410
351
3619
374
383
396
409
413
423
4313
4437
457
467
476
482
494
97.85% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences142
matches
0"been buttoned"
1"been torn"
2"been written"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs170
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences214
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1118
adjectiveStacks0
stackExamples(empty)
adverbCount18
adverbRatio0.016100178890876567
lyAdverbCount3
lyAdverbRatio0.0026833631484794273
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences214
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences214
mean7.3
std4.98
cv0.683
sampleLengths
015
16
216
316
45
521
65
716
812
910
101
119
127
1314
1414
155
166
177
185
1914
2015
216
228
233
2417
252
2614
271
284
295
3014
3111
3213
338
342
3536
366
375
3822
392
404
415
4210
434
4414
453
468
471
482
491
57.12% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.3568075117370892
totalSentences213
uniqueOpeners76
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences127
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount24
totalSentences127
matches
0"It carried the smell of"
1"Her boots struck the tiled"
2"Her colleague turned from the"
3"He held a paper cup"
4"His fingers curled around a"
5"She crossed towards the edge"
6"She shone her torch along"
7"His shoes remained clean."
8"His right fist held the"
9"His left lay open, palm"
10"She descended into the track"
11"She stepped over the first"
12"She touched nothing."
13"It ran in a fine,"
14"She opened his coat pocket."
15"She slipped it into an"
16"He landed beside her with"
17"He followed her gaze."
18"It now pointed directly at"
19"She withdrew her hand."
ratio0.189
19.06% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount112
totalSentences127
matches
0"Detective Harlow Quinn ducked beneath"
1"It carried the smell of"
2"Her boots struck the tiled"
3"The station had no name."
4"London Transport had sealed it"
5"The central bar had vanished."
6"Someone had scratched a series"
7"Quinn stopped at the bottom"
8"Her colleague turned from the"
9"Detective Sergeant Bell wore a"
10"He held a paper cup"
11"Quinn looked towards the tracks."
12"The body lay on the"
13"A man in a dark"
14"His fingers curled around a"
15"Bell sipped his coffee."
16"She crossed towards the edge"
17"The metal bore a dark"
18"She shone her torch along"
19"The platform opposite showed a"
ratio0.882
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences127
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences42
technicalSentenceCount1
matches
0"The platform opposite showed a scattering of marks: boot impressions around the body, a narrow heel near the signal box, and several overlapping smears that loo…"
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)
dialogueSentences77
tagDensity0.065
leniency0.13
rawRatio0
effectiveRatio0
85.9517%