Run: 2026-09-23-01M36P4QH221Q8NCTNA7RXTWGV

Run Details

Duration:
1m 3s
Cost:
$0.002043
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
The station clock had stopped at 2:17, though its hands had no business moving at all. Quinn looked up at it from the foot of the tiled stairs. A strip of police tape stretched across the old ticket hall, sagging between a pillar and a rusted turnstile. Beyond it, a man lay on his back beneath a faded poster for a theatre that had closed before Quinn was born. The air smelled of wet brick, cold metal and something sweet beneath them, like bruised apples left in a drawer. Her boots crunched over grit. A constable raised the tape for her. “Found him at six,” he told her. “A trader from the market. Name’s Tomas Vale. No witnesses willing to speak.” Quinn ducked under the tape and checked her watch. The worn leather strap had cracked along its edge. “Who found him?” “Market security. They called it in, then vanished before the response team arrived.” “Vanished where?” The constable glanced at the dark tracks. “That’s the question.” Quinn took in the hall. The old station had once served Camden’s northern line; now its platforms ended in walls of brick and concrete. Someone had set up stalls along the ticket hall and hung lanterns from the ironwork. A dozen stood dark. The rest cast a greenish light over counters stacked with bottles, bone charms and objects Quinn had no names for. The market’s customers had left behind overturned stools and open crates, but not a single coat or bag. A uniformed officer stood beside the body with a notebook. DS Bell waited near the turnstile, sleeves rolled to the elbows, his face pinched by the damp. “Robbery,” Bell called. “One dead merchant, scattered stock, vanished crowd. We’ve got a knife wound and no weapon. Whoever did it got spooked and ran.” Quinn stopped beside a stall tipped onto its side. Three silver coins lay in the dust. A glass jar had broken, spilling a black paste across the stone. “Then they ran without taking the coins.” “Could’ve been interrupted.” “By whom?” Bell spread his hands. “The security team. The police. The station clock.” Quinn crouched near the body. Vale wore a long grey coat buttoned to the throat. His right hand rested on his chest; the left curled around a pale token carved from bone. A narrow wound darkened the cloth below his ribs. The blood beneath him had dried at the edges, but its centre still shone. No blood marked the stone between the body and the nearest stall. “Has anyone moved him?” “Not since the first officer checked for a pulse.” Quinn leaned closer without touching the coat. The dead man’s face had a waxy cast, his mouth open just enough to show a line of dark teeth. His boots looked clean. The seams of his trousers held no grit, despite the rubble scattered across the floor. Bell crouched opposite her. “Could be a stiletto. He folded before he got far.” “Where’s the blood from the wound?” “Under him.” “Not on the coat?” Bell leaned in. The hole in the fabric had darkened at its rim, but the surrounding wool showed no broad stain. Quinn followed the crease of the coat from the wound to Vale’s right hip. There, a thin stripe of blood had dried beneath a button, as if it had run along the fabric while he lay on his side. She looked at his hands. The left palm held the bone token. Dust had collected in the lines of his knuckles, except beneath the thumb, where a pale arc crossed the skin. “Someone put that in his hand,” Bell said. “Could be part of the market’s costume. Could be what they came for.” Quinn studied the fingers. The thumb pressed down on the token. The first two fingers curled beneath it. The position looked deliberate, but the joints had not stiffened at an angle that forced the hand open. Whoever placed it there had done so before rigor had set in. A small brass compass lay near the body’s left shoulder. Its casing carried a green crust of verdigris. Fine marks had been etched around the face, each one narrow as a hair. The needle pointed towards a blank stretch of wall where white tiles covered the brick. Bell followed her gaze. “Another trinket. The market’s full of them.” “Did anyone touch it?” “Not that I saw.” Quinn stood and walked the length of the hall. She counted four open exits: the stairway they had used, the platform passage, a service door hanging off one hinge, and a narrow arch into a tunnel that had been bricked up years ago. Each route bore a dusting of pale grit. The body’s area did not. “Where did the security team enter?” “The stairs,” Bell replied. “They found him there.” “Which security team?” “Two of them, according to the call.” “Names?” “No.” “Descriptions?” “None.” “Then you don’t know they existed.” Bell’s mouth tightened. “The caller knew enough to give the right location.” Quinn turned back to the corpse. “Who called?” “An anonymous mobile. The number disappeared.” She let the silence sit between them. Bell checked his notebook as if it might have improved. A woman stepped out from the shadow beside the old ticket booth. She had curly red hair, round glasses and a worn leather satchel thick with books. Damp curls clung to her coat collar. Freckles spread across her cheeks, pale under the green lantern light. “Eva Kowalski,” Bell muttered. “Your specialist.” “Research assistant,” Eva corrected. She tucked a strand of hair behind her left ear. “And the station isn’t on any current map, so if you want to argue titles, we’ll need to find a map first.” Quinn glanced at her satchel. “You came through the stairs?” “Through the entrance. A bone token got me past the market’s gatekeeper.” “Someone let you into a murder scene with that?” “Someone let your constables in, too.” Bell glanced at Quinn. Quinn gave him no answer. Eva had helped her before, though neither of them had called it friendship in front of the police. “What do you make of the token?” Quinn asked. “Market currency. Or an invitation, depending on who carved it.” Eva nodded at the object in Vale’s hand. “That one’s cut differently from the tokens I’ve seen. The groove along the edge means it was used to enter, not pay.” “Could the killer have left it as a signature?” “Could have. But Vale’s holding it.” “Maybe he was clutching it when he died,” Bell put in. “Last attempt to get out.” Eva looked at the dead man’s hand. “Then he’d have to clutch it without scraping the skin beneath his thumb.” Bell shifted his weight. “You’re reading a lot into a bit of bone.” “I’m reading the hand.” Quinn crouched again. The pale arc beneath Vale’s thumb matched the curve of the token’s edge. No broken skin, no pressure mark. The thumb rested where someone had set it. She looked at the pool beneath the body. It spread from Vale’s right shoulder, not his wound. A narrow runnel crossed the floor and disappeared beneath the turned-over stall. The liquid looked too thin at its edges, washed to a rusty pink. “Blood diluted with water,” Bell said. “Could’ve spilled from a bottle.” Quinn dragged her gaze back to the overhead ironwork. Condensation beaded on the pipe above the stall, but not above the corpse. The ceiling there remained dry. “Any water pipes over this hall?” “Not that I found,” Bell said. “Then how did the blood run?” Bell stood and looked at the stain. “Someone cleaned up. Slopped water over the floor.” “Why leave the body untouched?” He raised a shoulder. “Rushed.” Quinn took two steps around the corpse. The coat’s left hem had caught on a rough seam in the stone. She bent and found a fleck of white grit embedded in the wool. Not dust. Chalky, with a hard edge. She lifted it with a gloved finger and held it near the light. “Plaster,” Eva said. “Fresh enough to crumble.” “From the sealed arch?” “No. That brickwork’s older than I am. The tile wall’s newer. Some of it, at least.” Eva stepped towards the wall but stopped short of crossing the evidence marker. She pulled a small notebook from her satchel and compared the tiles to a hand-drawn plan. Quinn saw the tremor in the paper, then the stillness as Eva pressed it against the booth’s counter. “This station had a service corridor,” Eva said. “Behind the ticket office. It connected to a cable room. The plans show a door here.” She pointed to the tiled wall the compass needle faced. Bell let out a breath. “That was bricked up.” “According to the plans.” “Which are how old?” “Seventy years.” “Then they’re not evidence.” “No,” Quinn said. “The plaster is.” She crossed to the wall. The tiles formed a neat grid except near the floor, where one row sat a fraction out of line. At first glance, the misalignment looked like poor repair work. Quinn lowered herself until the light caught the grout. A fine grey powder lay along the bottom edge of the tiles. It gathered in a shallow fan on the floor, spreading away from the wall. She looked back at the footprints. Several tracks marked the grit between the stairs and the body: broad soles, narrow heels, a set of bare toes. They stopped in front of Vale. None continued towards the sealed arch, the service door or the platform passage. The station had swallowed every set of feet but the ones that ended at the corpse. “Those prints belong to the officers,” Bell said. “And the market crowd.” “Then where did Vale walk?” “Maybe he was carried.” “His coat caught on the stone. His boots have no grit. The blood ran from his shoulder, not his wound. You think someone carried him here, laid him down, then cleaned the floor around him.” Bell faced the wall. “And got out through a door that doesn’t exist.” Quinn studied the compass. Its green-caked needle held steady, aimed at the crooked tiles. Eva kept her notebook open. “This market moves every full moon. The location changes, but the rooms inside don’t always match the building around them.” Bell turned to her. “You’re telling me the station moved?” “I’m telling you the market moved here. Those aren’t the same thing.” Quinn tapped the nearest tile with the back of her gloved finger. It gave a faint, hollow note. The tile beside it answered with a solid click. She found another hollow patch lower down. Dust gathered at the seam. One corner held a fresh scrape, its pale mark hidden beneath the grey powder. “Get me the scene photographer,” she called. “And no one touches this wall.” Bell looked from the tiles to the compass. “You think the killer went through it?” “I think this room has an exit we haven’t counted.” Quinn traced the line of the grout with her eyes. At the base of the wall, the pale powder lay thickest beside a tile that sat level with the floor. She had been looking for footprints. The way out had left none.
created_at"2026-09-23T08:29:31.048Z" 9/23/2026, 8:29:31 AM
model"openai/gpt-6-luna-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency20453
moderation_latency(null)
generation_time62613
tokens_prompt1112
tokens_completion3376
native_tokens_prompt1009
native_tokens_completion3885
native_tokens_completion_images0
native_tokens_reasoning1490
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"
usage0.0020434
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790152171-ThryFucj9OGHbnUPOwHi"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790152171-jQE9ui4jqkcdAdvPnt1l"
upstream_id"resp_04880099e786861a016ab38deb25d887d1b301662da4f34c7c"
provider_responses
0
endpoint_id"05e94e02-b9c2-4bbb-ba55-4082ee9ad687"
id"resp_04880099e786861a016ab38deb25d887d1b301662da4f34c7c"
is_byokfalse
latency1470
model_permaslug"openai/gpt-6-luna-20260922"
provider_name"OpenAI"
status200
total_cost0.0020434
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags16
adverbTagCount0
adverbTags(empty)
dialogueSentences88
tagDensity0.182
leniency0.364
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1868
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)
86.62% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1868
totalAiIsms5
found
0
word"pulse"
count1
1
word"etched"
count1
2
word"silence"
count1
3
word"weight"
count1
4
word"traced"
count1
highlights
0"pulse"
1"etched"
2"silence"
3"weight"
4"traced"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"let out a breath"
count1
highlights
0"let out a breath"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences136
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences136
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences208
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
totalWords1868
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions19
unquotedAttributions0
matches(empty)
33.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions63
wordCount1279
uniqueNames5
maxNameDensity1.95
worstName"Quinn"
maxWindowNameDensity4
worstWindowName"Bell"
discoveredNames
Quinn25
Camden1
Bell22
Vale6
Eva9
persons
0"Quinn"
1"Camden"
2"Bell"
3"Vale"
4"Eva"
places(empty)
globalScore0.523
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences92
glossingSentenceCount1
matches
0"looked like poor repair work"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1868
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences208
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs104
mean17.96
std17.29
cv0.963
sampleLengths
016
153
232
320
421
513
62
710
881
927
1025
1128
127
133
142
1512
1655
1712
184
199
2046
2114
226
232
244
2560
2632
2721
2848
2947
3011
314
324
3356
346
358
363
377
381
391
401
411
426
4312
448
456
4617
4745
486
4936
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences136
matches
0"been etched"
1"been bricked"
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
emDashCount0
semicolonCount2
flaggedSentences2
totalSentences208
ratio0.01
matches
0"The old station had once served Camden’s northern line; now its platforms ended in walls of brick and concrete."
1"His right hand rested on his chest; the left curled around a pale token carved from bone."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1282
adjectiveStacks0
stackExamples(empty)
adverbCount15
adverbRatio0.01170046801872075
lyAdverbCount1
lyAdverbRatio0.00078003120124805
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences208
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences208
mean8.98
std5.86
cv0.652
sampleLengths
016
112
219
322
420
55
67
77
813
99
109
113
1213
132
147
153
165
1719
1815
194
2020
2118
2210
2317
243
2522
269
277
2812
297
303
312
324
338
345
3510
3617
379
3814
3912
404
419
427
4320
444
4515
464
4710
486
492
56.09% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.35096153846153844
totalSentences208
uniqueOpeners73
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences122
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount25
totalSentences122
matches
0"Her boots crunched over grit."
1"he told her"
2"His right hand rested on"
3"His boots looked clean."
4"She looked at his hands."
5"Its casing carried a green"
6"She counted four open exits:"
7"She let the silence sit"
8"She had curly red hair,"
9"She tucked a strand of"
10"She looked at the pool"
11"It spread from Vale’s right"
12"He raised a shoulder."
13"She bent and found a"
14"She lifted it with a"
15"She pulled a small notebook"
16"She pointed to the tiled"
17"She crossed to the wall."
18"It gathered in a shallow"
19"She looked back at the"
ratio0.205
0.98% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount112
totalSentences122
matches
0"The station clock had stopped"
1"Quinn looked up at it"
2"A strip of police tape"
3"The air smelled of wet"
4"Her boots crunched over grit."
5"A constable raised the tape"
6"he told her"
7"Quinn ducked under the tape"
8"The worn leather strap had"
9"The constable glanced at the"
10"Quinn took in the hall."
11"The old station had once"
12"Someone had set up stalls"
13"A dozen stood dark."
14"The rest cast a greenish"
15"The market’s customers had left"
16"A uniformed officer stood beside"
17"DS Bell waited near the"
18"Quinn stopped beside a stall"
19"A glass jar had broken,"
ratio0.918
40.98% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences122
matches
0"Whoever placed it there had"
ratio0.008
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences57
technicalSentenceCount1
matches
0"The position looked deliberate, but the joints had not stiffened at an angle that forced the hand open."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags16
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags14
fancyCount2
fancyTags
0"Bell muttered (mutter)"
1"Eva corrected (correct)"
dialogueSentences88
tagDensity0.159
leniency0.318
rawRatio0.143
effectiveRatio0.045
87.2669%