Run: 2026-09-23-01M36P1R0AJXAXS1YFCAWC28NE

Run Details

Duration:
49.1s
Cost:
$0.001749
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 entrance lay behind a fire door in the basement of a shuttered Camden printworks. Detective Harlow Quinn ducked beneath the strip of police tape and descended the iron steps, one hand on the rail. The air smelled of wet stone, old electricity and something sweet that had begun to turn. At the bottom, a uniformed constable held open the gate. The lock hung from its chain, untouched. “Only one way in,” he told her. “We checked the service corridor. Brick at the far end. No other doors.” Quinn glanced at his gloved hands. “And you opened the gate with?” He lifted a small bone token between finger and thumb. A black sigil had been carved into its flat side. “Found it on the step. Sergeant Malik took it from me before I could drop it.” “Good.” Quinn pulled a pair of gloves from her coat pocket. Her worn leather watch pressed against her left wrist as she snapped them on. The gate bore no fresh scratches. Beyond it, the station platform stretched into shadow, its tiled walls broken by old advertising frames and newer stalls assembled from planks and folding screens. Most stood empty. A few lamps still burned with green flames. Eva Kowalski waited beside a rusted ticket machine, her satchel braced against one hip. Her curly red hair had escaped its pins; she tucked it behind her left ear, then pushed her round glasses up her nose. “Tell me you didn’t touch anything,” Quinn said. “I didn’t touch the body. I did touch that token before I knew it mattered.” Quinn looked at the constable. “Bag it. Note who handled it and when.” The constable moved back toward the gate. Eva watched him go. “You’re welcome for the warning.” “You can be welcome after I know what you’ve walked me into.” “An abandoned Tube station under Camden,” Eva replied. “A man dead on the platform. A market that shouldn’t have been here at all.” Quinn’s gaze travelled over the stalls. A rack of glass bottles stood behind one counter. Each bottle held a different shade of smoke. At the far end, a narrow arch had been painted with a ring of white marks. The station map above it showed no tunnels beyond the old platform. “Who found him?” “I did. I came to speak to a bookseller. He wasn’t at his stall, so I followed the smell.” “Then you left the body alone?” “I called the police. I stayed by the gate.” A second figure emerged from the platform shadows. Sergeant Malik carried a notebook and wore the strained expression of a man who had spent the last half hour answering the same impossible question. “Victim’s name is Leander Vale,” he said. “No ID on him. A couple of traders recognised him. They called him a broker.” “Cause?” “Knife wound under the ribs, from what I can see. We’re waiting on the pathologist.” Malik pointed down the platform. “He’s lying beside the old ticket booth. There’s blood, but not as much as there ought to be. No weapon. No usable prints.” “Witnesses?” “Three traders. They all heard a bell at midnight and came out to find him. Nobody saw anyone enter or leave.” Quinn checked her watch. “And you believe them?” “I believe they agree with each other.” “That wasn’t my question.” Malik turned his notebook over in his hands. “There’s no sign of a struggle. The gate was locked when they arrived. They say the station has no second exit.” Eva stepped between them before Quinn could answer. “The market moves at the full moon. It changes location. The station may have other ways out that don’t show on a map.” Malik gave her a level look. “That’s one interpretation.” “Your interpretation is what?” “That Vale was killed elsewhere and brought in before the gate was locked. Plain enough.” “Then someone carried a body past the traders,” Eva replied. “Or through a wall.” “Or the traders lied.” Quinn started down the platform. “We’ll leave the walls out of it until we’ve checked the floor.” The body lay on its back beside the booth, one arm angled toward the track bed. Vale wore a dark coat and polished boots. His face had gone grey beneath a smear of grime. A brass compass rested in his open palm. Verdigris dulled the casing, and small protective sigils ringed its face. Its needle trembled toward the tiled wall. A dark pool spread from the wound in Vale’s side. It stopped at the edge of his coat. Quinn crouched. She did not touch the compass. She studied Vale’s cuffs, his boots, then the floor around him. Fine dust lay undisturbed on the toes of his right boot. His left heel held a pale streak, as if someone had dragged it through plaster. “Did anyone move him?” she asked. “No,” Malik replied. “The traders swear he was like this when they found him.” “Has anyone tested the blood?” “Not yet.” Quinn leaned closer to the pool. A thin line of red ran from its edge toward the track, but it broke at regular intervals. She followed the marks with her eyes. Each gap measured about the length of a hand. “Someone dragged him,” Malik said. “There. That settles the question.” “Maybe.” Quinn shifted her position. “What settled the blood?” Malik frowned. She pointed to the wound. “That cut went through his coat. If he bled here, we’d have blood under him, not a clean line starting beside his shoulder. The pool’s on top of the dust.” “Could be the dust came later.” “The dust lies on the blood.” Eva crouched beside the opposite shoulder, careful to keep her hands clear. “There’s a second stain.” Quinn followed her gaze. A brown-red smear crossed the fabric at the back of Vale’s collar. It had dried into the weave. The wound in his side still looked wet. “Could be old blood,” Malik said. “Could be,” Quinn replied. She examined the ticket booth. Its lower panel stood a finger’s width open. The brass compass needle pointed straight at it. A shallow scrape ran along the floor beneath the panel, almost hidden by the pool. Quinn crouched lower. The line curved away from the body, then vanished under a stall’s wooden counter. “Eva. What does the compass do?” “Points toward the nearest supernatural rift or portal.” Malik looked from Eva to the compass. “That’s convenient.” “It’s a tool,” Eva said. “Not a witness.” Quinn rose and inspected the old booth. Its window had been boarded from the inside. Dust coated the frame, except for a clean crescent on the sill. “Who owns this stall?” “Trader called Pell,” Eva replied. “He sells maps and routes. He wasn’t here tonight.” “Where is he now?” “I don’t know.” Malik flipped open his notebook. “The other traders said Pell left before midnight.” “Did they see him leave?” “He told them he was leaving.” Quinn turned to the wooden counter. A row of brass hooks hung beneath its lip. One hook had been bent outward. The scrape on the tiles ran to its base and stopped. She looked back at Vale’s polished boots. Dust on the toe. Pale plaster on the heel. A stain on the back of his collar. Blood pooled on top of the floor rather than beneath him. A scrape that ended beneath a counter. “Where did the traders find him?” she asked. “Here,” Malik replied. “Beside the booth.” “Not where he fell.” Malik’s eyes narrowed. “You think someone moved him.” “I think someone wanted us to think he was dragged in from the track. But this scrape didn’t come from his body. It came from something with a hard edge.” She pointed beneath the stall. A strip of black canvas peeked from the shadow. Quinn eased the counter outward by its solid frame. A low wooden trolley sat behind it, its wheels wrapped in felt. The canvas draped over a rectangular stain on the boards. Red had seeped through at one corner. Malik bent down. “That’s enough to bring the pathologist over.” “Don’t touch it.” Quinn traced the trolley’s wheel marks across the dusty tiles. They led from the booth to the body, then stopped before the blood pool. The marks looked like scuffs from a careless glance. Up close, each pair sat at the same angle, spaced as if the trolley had been lifted over the track grooves at measured intervals. Eva shifted her satchel higher on her shoulder. “The compass points at the booth. The wall behind it might not be a wall.” “Or the booth conceals a service hatch,” Malik replied. Quinn stared at the clean crescent on the sill. Someone had opened the panel from the inside. The missing weapon, the locked gate, the wet blood on an otherwise dry body: each had seemed like a separate problem. The trolley connected them. The booth offered a place to hide it, and the blood on the canvas matched the stain at Vale’s collar, not the wound in his side. She looked again at the fine dust on his boot toes. “He wasn’t brought here on that trolley,” she said. “Not first.” Malik held still, notebook open. Quinn pointed to the pale plaster on Vale’s heel. “He stood somewhere with fresh masonry dust. Then someone laid him on the trolley. The blood at his collar came first. The knife wound came later.” Eva’s fingers rose toward her hair, then stopped. “The wound in his side was made to explain the pool,” Quinn continued. “But it didn’t make the pool.” She reached for the bent hook beneath the stall, stopping just short of contact. “Get me a light under there,” she told Malik. “And nobody opens that booth until we know what the hook held.”
created_at"2026-09-23T08:27:53.232Z" 9/23/2026, 8:27:53 AM
model"openai/gpt-6-luna-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency17961
moderation_latency(null)
generation_time49087
tokens_prompt1112
tokens_completion2628
native_tokens_prompt1009
native_tokens_completion3297
native_tokens_completion_images0
native_tokens_reasoning1223
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"
usage0.0017494
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790152073-nOVYCdEYb7IAhya6iSyW"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790152073-JwjMHuPqr0YtzepVvJHK"
upstream_id"resp_0befe9675b8dea86016ab38d89577887d1bdbce2b32871c080"
provider_responses
0
endpoint_id"05e94e02-b9c2-4bbb-ba55-4082ee9ad687"
id"resp_0befe9675b8dea86016ab38d89577887d1bdbce2b32871c080"
is_byokfalse
latency1294
model_permaslug"openai/gpt-6-luna-20260922"
provider_name"OpenAI"
status200
total_cost0.0017494
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
totalTags20
adverbTagCount0
adverbTags(empty)
dialogueSentences80
tagDensity0.25
leniency0.5
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1629
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)
87.72% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1629
totalAiIsms4
found
0
word"trembled"
count1
1
word"measured"
count2
2
word"traced"
count1
highlights
0"trembled"
1"measured"
2"traced"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes narrowed"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences119
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount0
narrationSentences119
filterMatches
0"watch"
1"look"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences179
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen30
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1629
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions23
unquotedAttributions0
matches(empty)
39.11% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions59
wordCount992
uniqueNames7
maxNameDensity2.22
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Quinn"
discoveredNames
Camden1
Harlow1
Quinn22
Kowalski1
Malik16
Vale7
Eva11
persons
0"Harlow"
1"Quinn"
2"Kowalski"
3"Malik"
4"Vale"
5"Eva"
places(empty)
globalScore0.391
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences80
glossingSentenceCount1
matches
0"looked like scuffs from a careless glance"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1629
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences179
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs94
mean17.33
std16.18
cv0.934
sampleLengths
052
117
220
36
46
520
616
71
866
937
108
1115
125
138
147
159
1612
1723
1851
193
2019
216
229
2333
2422
251
2643
271
2821
298
307
314
3229
338
3423
359
364
3715
3814
394
4017
4160
4218
4345
446
4514
465
472
4840
4910
93.47% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences119
matches
0"been carved"
1"been painted"
2"been boarded"
3"been lifted"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs160
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences179
ratio0.006
matches
0"Her curly red hair had escaped its pins; she tucked it behind her left ear, then pushed her round glasses up her nose."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount993
adjectiveStacks0
stackExamples(empty)
adverbCount15
adverbRatio0.015105740181268883
lyAdverbCount1
lyAdverbRatio0.0010070493454179255
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences179
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences179
mean9.1
std5.87
cv0.646
sampleLengths
016
120
216
310
47
57
613
76
86
910
1010
1116
121
1310
1414
156
1625
173
188
1914
2023
218
2215
235
248
257
264
275
2812
298
3015
316
329
338
3416
3512
363
3719
386
399
408
4125
427
4315
441
4520
4623
471
4821
494
56.24% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.3575418994413408
totalSentences179
uniqueOpeners64
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences101
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount22
totalSentences101
matches
0"he told her"
1"He lifted a small bone"
2"Her worn leather watch pressed"
3"Her curly red hair had"
4"His face had gone grey"
5"Its needle trembled toward the"
6"It stopped at the edge"
7"She did not touch the"
8"She studied Vale’s cuffs, his"
9"His left heel held a"
10"She followed the marks with"
11"She pointed to the wound."
12"It had dried into the"
13"She examined the ticket booth."
14"Its lower panel stood a"
15"Its window had been boarded"
16"She looked back at Vale’s"
17"She pointed beneath the stall."
18"They led from the booth"
19"She looked again at the"
ratio0.218
9.50% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount91
totalSentences101
matches
0"The station entrance lay behind"
1"Detective Harlow Quinn ducked beneath"
2"The air smelled of wet"
3"The lock hung from its"
4"he told her"
5"Quinn glanced at his gloved"
6"He lifted a small bone"
7"A black sigil had been"
8"Quinn pulled a pair of"
9"Her worn leather watch pressed"
10"The gate bore no fresh"
11"Eva Kowalski waited beside a"
12"Her curly red hair had"
13"Quinn looked at the constable."
14"The constable moved back toward"
15"Eva watched him go."
16"Quinn’s gaze travelled over the"
17"A rack of glass bottles"
18"Each bottle held a different"
19"The station map above it"
ratio0.901
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences101
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences38
technicalSentenceCount2
matches
0"Sergeant Malik carried a notebook and wore the strained expression of a man who had spent the last half hour answering the same impossible question."
1"Up close, each pair sat at the same angle, spaced as if the trolley had been lifted over the track grooves at measured intervals."
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
totalTags18
fancyCount1
fancyTags
0"Quinn continued (continue)"
dialogueSentences80
tagDensity0.225
leniency0.45
rawRatio0.056
effectiveRatio0.025
86.2016%