Run: 2026-07-09-01KX409YJ4EY2VHGC06S5NEBGE

Run Details

Duration:
17.5s
Cost:
$0.017887
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 station had been abandoned since 1938, but the platform lights were burning when Detective Harlow Quinn came down the tiled stairs. They glowed a sickly amber behind wire cages, humming over the old Northern Line signs. Water ticked somewhere in the walls. The air smelled of wet brick, hot metal, and something sweetly rotten beneath it all. Quinn paused on the last step and checked her watch. 11:47 p.m. Her left wrist was damp from the climb, the worn leather strap darkened by rain. She wiped it with her thumb, then looked along the platform. Uniformed officers had sealed the stairwell with blue-and-white tape, though the tape seemed absurd here. No member of the public could have reached the station without passing through a locked service tunnel, and no one had admitted knowing the tunnel existed. Except Eva Kowalski. Eva stood beside the tiled pillar marked CAMDEN TOWN, clutching her worn leather satchel against her ribs. Her curly red hair had escaped its tie, and she kept tucking the same strand behind her left ear. Round glasses flashed in the amber light. She looked more like a junior archivist caught after closing time than a witness to murder. Perhaps that was why Quinn distrusted her. “Detective,” Eva said. “Kowalski.” Quinn descended onto the platform. “You’re a long way from the museum.” “I was called.” “By whom?” Eva glanced toward the body. That was not an answer. Quinn followed her gaze. A man lay on the yellow line at the platform edge, face turned toward the rails. He wore a dark wool coat, polished boots, and a silver mask tied over the back of his head with black ribbon. One hand was open beside him. The other gripped a white object that might have been a shard of porcelain. No blood. No obvious wound. A constable waited beside the body, pale and damp-haired. “Detective Quinn, I’m Constable Bell. Crime Scene’s on the way. Sergeant Pell is holding the entrance.” “Who found him?” “Miss Kowalski.” Quinn looked at Eva. “I heard a bell,” Eva said. “Then I came down and found him.” “What bell?” “The station bell.” “There’s no station bell.” “I’m aware of that.” Quinn let the silence settle. Eva’s fingers tightened around the satchel strap. A nervous habit, not guilt. Maybe. “Have you touched anything?” Quinn asked. “Only the door at the top of the stairs.” “Which door?” “The one that shouldn’t have been there.” Bell shifted. “We found the station sealed from the inside. No sign of forced entry. The victim’s identification is in his pocket. Sebastian Vale, forty-six, address in Chelsea. We ran him through the system. No convictions.” “No weapon?” “Not that we’ve found.” Quinn stepped beneath the wire cage and studied the scene. The platform was narrow, its edges crumbling toward a darkness where no rails should have been. The old track bed had been flooded with black water. It lay perfectly still, reflecting the lights without a ripple. A line of chalk marks circled the body, though they did not form any recognizable forensic boundary. Instead, they curled into small hooked shapes, each one crossed by a short vertical stroke. Quinn crouched just outside the chalk. “Who drew those?” Bell looked embarrassed. “Miss Kowalski said not to disturb them.” “I didn’t say that,” Eva murmured. “I said they might be significant.” “They’re chalk,” Quinn said. “They’re a containment ward.” Quinn looked up. “Then why is the dead man outside it?” Eva’s face tightened. Good, Quinn thought. At least one question had landed. She stood and moved closer to the body. The man’s coat was expensive, tailored at the shoulders. His boots were clean, except for the soles. The soles were caked in pale gray dust—not tunnel dust, which was brown with damp, but fine and powdery, like ash. She examined the exposed hand. No defensive wounds. The nails were clean. The white object in his fist was a narrow bone token, carved with a black line down the middle. “A charm?” Bell asked. “A key,” Eva said. Quinn reached for a glove. “You seem very certain.” Eva took one more strand of hair behind her ear. “It’s an entry token.” “To what?” “The Veil Market.” Bell made a sound that might have been a laugh, but it died quickly. Quinn had encountered the phrase before. It appeared in the margins of three investigations over the last year: missing antiques, a stolen crate of laboratory compounds, two men found unconscious in a locked railway tunnel. Each time, the trail went cold. Each time, some witness mentioned a market that moved with the moon. She had assumed it was a criminal network. A code name. A story used to frighten people who knew too much. “Is that what brought him here?” she asked. “Possibly.” “Then why is the token in his hand?” Eva stared at the body. “Because he was trying to leave.” Quinn crouched again. She took the token with forceps from Bell’s kit and lifted it toward the light. It was warm. That was the first wrong thing. The second was the black line. It did not run along the bone’s surface. It seemed to lie inside it, moving faintly when she tilted the token. She set it in an evidence bag. “Cause of death?” she asked. “Cardiac arrest, according to the preliminary assessment,” Bell said. “No trauma, no blood. There’s a bruise at the base of his neck, but nothing else.” “Cardiac arrest doesn’t explain the mask.” Eva stepped nearer, keeping her shoes beyond the chalk. “The mask may be ceremonial.” “Everything is ceremonial to you.” “Not everything.” Quinn ignored that. She inspected the mask. Black lacquer, narrow eyeholes, no mouth. The silver surface had been etched with a pattern that looked, at first, like branching cracks. She leaned closer. The cracks were letters. Not any alphabet she knew, but the arrangement stirred a memory from three years ago: a piece of metal recovered from the place where DS Morris had disappeared. Morris had carried it in a paper evidence bag, joking that it belonged in a museum. By morning, the bag was empty. By the end of the week, Morris was gone. Quinn had never found his body. She straightened. “Where is the market?” she asked. Eva’s green eyes flicked toward the dead tracks. “It isn’t here anymore.” “Was it?” “Yes.” “Explain.” Eva opened her satchel and removed a brass compass. It was small enough to fit in her palm, its casing covered in verdigris. Protective sigils had been etched around the face. The needle trembled, then swung away from north and pointed directly at the body. Quinn looked from the compass to the dead man. “Your compass is broken.” “It points toward supernatural rifts.” “There’s no such thing as a supernatural rift.” “Then you have a broken compass.” The needle jerked. It no longer pointed at the body. It pointed past him, into the black water below the platform. Quinn turned her head. The water remained still. But beneath its surface, something pale moved. She blinked, and the motion was gone. Bell began to speak. “Detective—” “Don’t,” Quinn said. She moved around the body, studying the ground. The chalk ward was interrupted in three places: beside the victim’s left boot, behind his head, and at the platform edge. The breaks looked accidental until she saw that each one aligned with a faint smear of gray dust. The man had not fallen onto the platform. He had been dragged. Not from the tunnel. From the water. Quinn followed the dust trail backward. It began at the edge, crossed the chalk, and stopped beside the victim’s shoulder. There were no footprints around it. No drag marks from fabric. Only the dust, sprinkled in a narrow curve like the path of an invisible hand. Eva watched her. “You see it now,” she said. “I see dust.” “You see a body that was moved after death.” Quinn looked at the corpse’s coat. The collar was wet. Not damp from rain or condensation—soaked through in a neat crescent around the neck. The rest of the coat was dry. She touched the fabric with a gloved finger. Cold water beaded beneath it. The bruise at the base of the neck was not a bruise. Four dark marks circled the throat, evenly spaced. Fingers. Too long, too narrow. Quinn rose slowly. “What did you hear before you found him?” she asked. “A bell,” Eva said. “One note. Then a man shouting.” “His voice?” “I don’t know. It came from the track.” “Did you see anyone?” “No.” “Did you hear footsteps?” Eva shook her head. “I heard the market closing.” Quinn looked toward the flooded rails. “What does that sound like?” “Doors. Stalls being packed. People leaving.” “People?” Eva’s mouth tightened. “You know what a market sounds like.” “Not one beneath a dead Tube station.” “No. You know this one.” That touched something sharp in Quinn. She turned away before Eva could read her face. On the far side of the platform, a door stood where the station plans said there should be a blank wall. It was painted red, its brass handle bright and clean. Quinn had not noticed it when she arrived. Now she could not look anywhere else. A thin line of gray dust lay beneath it. “Bell,” she said. “Get your men to cover that door.” The constable stared. “What door?” Quinn pointed. He frowned at the wall. “Detective, there’s nothing there.” Eva’s compass began to tick. Not loudly. Just enough for Quinn to hear. The needle pressed toward the red door, quivering against the glass. Quinn walked to it. The station lights dimmed as she crossed the platform. Behind her, Bell said her name, but the sound seemed to come from far away. The red paint was blistered, and beneath it she saw layers of other colors: green, blue, black, gold. A hundred doors painted over a hundred times. The handle was warm. She reached for it. “Don’t open it,” Eva said. Quinn’s hand stopped an inch away. “Why?” “Because the market has moved.” “To where?” Eva swallowed. “Somewhere close.” The dead man’s silver mask gave a soft metallic click. Quinn turned. The body had not moved. The mask had. Its blank eyeholes now faced the door. A bell rang beneath the platform. One clear note. The black water shuddered. Something struck the underside of the tiles. Once. Twice. A third time hard enough to crack the grout. Bell drew his weapon. “What the hell is that?” Quinn did not answer. She was staring at the bone token in its evidence bag. The black line inside it had widened into a branching shape. A map. It traced the outline of the station, then extended beyond it—through the platform, beneath the city, toward a point marked by a tiny black circle. Her left wristwatch stopped. 11:47 p.m. Eva came to stand beside her, close enough that Quinn could smell rain and old paper on her coat. “He wasn’t the killer,” Eva said. “He was bait.” Quinn kept her eyes on the red door. “Bait for what?” The door opened inward without a hand touching it. Beyond it lay not a room, but a crowded street beneath a sky with no stars. Lanterns burned blue and violet. Stalls leaned beneath striped awnings. Figures in masks turned toward the opening, their faces hidden, their attention sudden and complete. Somewhere in that impossible distance, a man began to laugh. Quinn thought of Morris. Of the empty evidence bag. Of every report filed under impossible and every witness dismissed as hysterical. Then she saw the gray dust on the dead man’s boots. He had not been trying to leave the market. He had been running from it. The laughter stopped. All the masked faces looked toward Quinn. Eva seized her sleeve. “Detective.” Quinn pulled free, but she did not step back. The evidence no longer pointed to a murder in an abandoned station. It pointed through the door, into a place that had been waiting for someone to notice the wrong detail. Behind her, the corpse sat upright. The silver mask turned toward her. And from beneath it came Morris’s voice. “Quinn,” it whispered. “You’re late.”
created_at"2026-07-09T17:55:13.613Z" 7/9/2026, 5:55:13 PM
model"openai/gpt-5.6-luna-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2100
moderation_latency(null)
generation_time17061
tokens_prompt923
tokens_completion3396
native_tokens_prompt835
native_tokens_completion2842
native_tokens_completion_images0
native_tokens_reasoning173
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"
usage0.017887
router(null)
provider_responses
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endpoint_id"eebea444-34a5-4642-a766-cb319471d33a"
id"resp_0871e471ed0a8538016a4fe081af708194a012170cdc7ecc73"
is_byokfalse
latency242
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-1783619713-IjumOcF7dXXYbqjJexD5"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783619713-l812c2q3yPX9DnfHqoC9"
upstream_id"resp_0871e471ed0a8538016a4fe081af708194a012170cdc7ecc73"
total_cost0.017887
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
totalTags20
adverbTagCount0
adverbTags(empty)
dialogueSentences90
tagDensity0.222
leniency0.444
rawRatio0
effectiveRatio0
87.75% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount2040
totalAiIsmAdverbs5
found
0
adverb"sweetly"
count1
1
adverb"perfectly"
count1
2
adverb"very"
count1
3
adverb"quickly"
count1
4
adverb"slowly"
count1
highlights
0"sweetly"
1"perfectly"
2"very"
3"quickly"
4"slowly"
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)
75.49% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount2040
totalAiIsms10
found
0
word"porcelain"
count1
1
word"silence"
count1
2
word"charm"
count1
3
word"etched"
count2
4
word"flicked"
count1
5
word"trembled"
count1
6
word"aligned"
count1
7
word"footsteps"
count1
8
word"traced"
count1
highlights
0"porcelain"
1"silence"
2"charm"
3"etched"
4"flicked"
5"trembled"
6"aligned"
7"footsteps"
8"traced"
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
narrationSentences211
matches
0"looked embarrassed"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount5
narrationSentences211
filterMatches
0"watch"
hedgeMatches
0"seemed to"
1"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences281
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
totalWords2037
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions25
unquotedAttributions1
matches
0"Behind her, Bell said her name, but the sound seemed to come from far away."
33.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions83
wordCount1630
uniqueNames9
maxNameDensity2.33
worstName"Quinn"
maxWindowNameDensity4
worstWindowName"Quinn"
discoveredNames
Detective1
Harlow1
Quinn38
Northern1
Line1
Eva26
Kowalski1
Bell9
Morris5
persons
0"Harlow"
1"Quinn"
2"Line"
3"Eva"
4"Kowalski"
5"Bell"
6"Morris"
places(empty)
globalScore0.334
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences119
glossingSentenceCount1
matches
0"seemed absurd here"
52.72% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches3
per1kWords1.473
wordCount2037
matches
0"not tunnel dust, which was brown with damp, but fine"
1"Not any alphabet she knew, but the arrangement stirred a memory from three years ago: a pie"
2"not a room, but a crowded street beneath a sky with no stars"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences281
matches
0"joking that it"
1"saw that each"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs171
mean11.91
std14.15
cv1.188
sampleLengths
022
136
210
32
467
53
659
77
83
913
103
112
125
135
144
1558
165
1725
183
192
204
2113
222
233
244
254
2618
276
289
292
307
3136
322
334
3410
3568
366
373
3810
3912
404
414
4211
433
449
4546
4631
474
484
499
88.63% Passive voice overuse
Target: ≤2% passive sentences
passiveCount10
totalSentences211
matches
0"been abandoned"
1"been flooded"
2"were caked"
3"been etched"
4"was gone"
5"been etched"
6"was gone"
7"was interrupted"
8"been dragged"
9"was blistered"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs291
matches
0"were burning"
1"was staring"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences3
totalSentences281
ratio0.011
matches
0"The soles were caked in pale gray dust—not tunnel dust, which was brown with damp, but fine and powdery, like ash."
1"Not damp from rain or condensation—soaked through in a neat crescent around the neck."
2"It traced the outline of the station, then extended beyond it—through the platform, beneath the city, toward a point marked by a tiny black circle."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1636
adjectiveStacks1
stackExamples
0"green, blue, black, gold."
adverbCount50
adverbRatio0.030562347188264057
lyAdverbCount11
lyAdverbRatio0.006723716381418093
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences281
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences281
mean7.25
std5.44
cv0.75
sampleLengths
022
115
26
315
410
52
615
711
815
926
103
1117
1219
137
1416
157
163
176
187
193
202
215
225
234
2416
2522
266
2714
282
293
309
3116
323
332
344
356
367
372
383
394
404
415
427
435
441
456
469
472
487
492
43.95% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats17
diversityRatio0.298932384341637
totalSentences281
uniqueOpeners84
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount8
totalSentences178
matches
0"Perhaps that was why Quinn"
1"Instead, they curled into small"
2"At least one question had"
3"Only the dust, sprinkled in"
4"Too long, too narrow."
5"Just enough for Quinn to"
6"Somewhere in that impossible distance,"
7"Then she saw the gray"
ratio0.045
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount38
totalSentences178
matches
0"They glowed a sickly amber"
1"Her left wrist was damp"
2"She wiped it with her"
3"Her curly red hair had"
4"She looked more like a"
5"He wore a dark wool"
6"It lay perfectly still, reflecting"
7"She stood and moved closer"
8"His boots were clean, except"
9"She examined the exposed hand."
10"It appeared in the margins"
11"She had assumed it was"
12"She took the token with"
13"It was warm."
14"It did not run along"
15"It seemed to lie inside"
16"She set it in an"
17"She inspected the mask."
18"She leaned closer."
19"It was small enough to"
ratio0.213
69.55% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount139
totalSentences178
matches
0"The station had been abandoned"
1"They glowed a sickly amber"
2"Water ticked somewhere in the"
3"The air smelled of wet"
4"Quinn paused on the last"
5"Her left wrist was damp"
6"She wiped it with her"
7"Eva stood beside the tiled"
8"Her curly red hair had"
9"She looked more like a"
10"Quinn descended onto the platform"
11"Eva glanced toward the body."
12"That was not an answer."
13"Quinn followed her gaze."
14"A man lay on the"
15"He wore a dark wool"
16"The other gripped a white"
17"A constable waited beside the"
18"Quinn looked at Eva."
19"Quinn let the silence settle."
ratio0.781
28.09% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences178
matches
0"Now she could not look"
ratio0.006
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences59
technicalSentenceCount1
matches
0"The soles were caked in pale gray dust—not tunnel dust, which was brown with damp, but fine and powdery, like ash."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags20
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags19
fancyCount2
fancyTags
0"Eva murmured (murmur)"
1"it whispered (whisper)"
dialogueSentences90
tagDensity0.211
leniency0.422
rawRatio0.105
effectiveRatio0.044
89.1173%