Run: 2026-07-09-01KX41J70DK6RY5WDH3C28X9G8

Run Details

Duration:
14.6s
Cost:
$0.014263
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 police tape and entered the abandoned Tube station. The tunnel swallowed the city’s noise. Aboveground, Camden Market churned through its evening trade, all music, frying oil, and shouted prices. Down here, the station held its breath. Dust silvered the tiled walls. Old advertisements peeled from the columns in long, curled tongues. A dead escalator descended into the platform, its steps furred with rust. Someone had strung electric lamps along the rails, but half had failed, leaving the platform divided between hard white glare and pockets of shadow. Quinn stopped at the bottom step. A man lay beside the disused ticket booth. He wore a charcoal suit, polished shoes, and a silver ring shaped like a serpent. Blood had spread beneath his head in a dark fan. His right hand rested open on the tiles. His left clutched a torn strip of blue silk. Uniformed officers stood in a loose ring around him. Detective Inspector Vale waited near the body with a paper cup in one hand. He had loosened his tie and rolled his sleeves above the elbow. His shoes carried pale dust from the platform. “You took your time,” he called. Quinn checked her watch. The worn leather strap pressed against her left wrist. “You called me twelve minutes ago.” “Seven minutes ago.” “Your call log will settle it.” Vale glanced at the corpse. “The victim’s Adrian Bell. Antiquities dealer. One of the stalls down here belonged to him.” Quinn moved towards the body without crossing the chalk marks around it. “Who found him?” “Market security. A woman named Livia Sorn. She heard something fall, came through the ticket booth, and found Bell on his back.” “Something fall?” “A brass display case. It was on the counter.” Quinn looked at the booth. The ticket window stood open. Glass glittered across the floor inside, though the case itself had already been moved aside. A velvet-lined tray lay upside down beside it. “Who moved the case?” Vale raised his cup. “Sorn. She thought Bell might have been trapped beneath it.” “Then she contaminated the scene.” “She saved him.” “He was dead before the case fell.” Vale’s eyes narrowed. “You can tell that from here?” “I can tell the blood did not come from the case.” She stepped over the chalk and crouched beside Bell. His skull had split above the right ear. The wound showed a clean, narrow impact, not the broad crush a heavy brass case would have made. Blood had run beneath his neck and gathered along the grout. The body lay face-up, one knee bent, coat buttoned, tie centred. Quinn held her hands above the body, careful not to touch. “Temperature?” “Forty minutes, according to the medical examiner.” “Who made the estimate?” “Dr Patel.” “Based on?” Vale took a sip of coffee. “The usual.” “Which means?” He did not answer. Quinn studied Bell’s shoes. The soles were clean except for a crescent of wet black grit on the left heel. The platform floor had collected a different dust: grey, powdery, and undisturbed around the body. She stood. “Where was Bell’s stall?” “Across the platform. The purple awning.” Quinn followed his gaze. A narrow table stood beneath the awning, laden with sealed jars, bone-handled knives, and small objects wrapped in waxed cloth. A dark-haired woman watched from behind it, one hand resting on a stack of books. “The Market’s still operating?” “Apparently murder closes nothing.” “No one has left?” “Not through the official entrance.” Quinn turned towards the tunnel mouth. Beyond the lamps, the tracks vanished into blackness. “Unofficial entrance?” Vale pointed at the far end of the platform. “That access stairwell. It opens into a service passage. We’ve posted two officers there.” Quinn walked past the body. Her boots made no sound on the dust. The station map above the stairwell showed a line that no longer existed. Camden Town had changed its platforms twice since the station closed. The faded diagram marked a northern branch in red, its endpoint labelled simply Euston. A brass token rested on the lowest step. Quinn bent over it. It looked like a coin carved from bone. A narrow groove circled its edge. One side bore a symbol like an eye shut beneath a crescent. “Don’t touch that,” Vale warned. “I wasn’t going to.” “Market entry token. Sorn says Bell had one.” “Where is his?” “Not on him.” Quinn pointed towards the token. “That one was planted.” Vale’s mouth tightened. “Why?” “Because it sits on top of the dust.” He crouched beside her. “Someone dropped it.” “The stairs haven’t been used since the officers arrived. The dust around the token remains smooth. No skid. No scuff. It was placed there after the sweep.” “Or it fell from a pocket.” “Then it would have left a mark.” Vale looked from the token to the body. “You’re building a theory around a coin.” “Bone token.” “Fine. A bone token.” Quinn rose and looked along the platform. The lamps hummed. Shadows gathered behind the columns, thick enough to hide a person. At the centre of the station stood a circular iron table. Its surface carried trays of vials, folded maps, and small metal devices. One object caught the light: a small brass compass, its casing green with verdigris. Protective sigils covered the face. The needle spun once, stopped, then swung towards the far tunnel. Quinn walked towards it. “Leave the merchandise,” Vale called. “The market sellers don’t like police handling their stock.” “Then they should stop bringing it to crime scenes.” The compass sat beside a dark stain. Quinn leaned closer. The stain had dried in a thin crescent around the object, but no blood marked the compass itself. She looked at the needle. It pointed towards the tunnel. “Bell owned this?” Vale joined her. “Sorn says he dealt in rare instruments. Could be his.” “Could be?” “You know how witnesses behave down here.” Quinn lifted her gaze. “No. I know how witnesses behave when they expect questions.” A shadow shifted behind the purple awning. Quinn snapped her head around. The woman at Bell’s stall had disappeared. She crossed the platform in six strides. Vale followed, cursing under his breath. Behind the awning, shelves crowded the narrow space. A curtain hung at the rear, embroidered with silver thread. Quinn seized it and pulled it aside. Empty. A scuffed patch of floor showed where a crate had stood. Behind it, the wall tiles had cracked around a narrow iron door. Vale’s coffee hit the ground. “That wasn’t open when we arrived.” Quinn inspected the lock. No scratches. No fresh metal dust. The door had opened from the other side. “Where does it lead?” “Service passage.” “Your officers are outside this door.” “Outside the other access.” Quinn crouched. A smear of black grit crossed the threshold. The same grit marked Bell’s left heel. She held her torch over the passage floor. Footprints appeared in the beam: one set going in, two sets returning. The first prints were narrow, with a pointed heel. The second belonged to a heavier boot. One trail ended at the door. The other continued towards the platform. Quinn returned to Bell and examined the corpse again. The strip of blue silk lay clenched in his fingers. She used a pen to lift the edge. The cloth had no blood on it. “His hand was closed after death,” she said. Vale folded his arms. “That’s a strong claim.” “Look at the fingers. The nails contain no fibres. The silk was pushed into his hand.” “By the killer?” “By someone who wanted us to believe Bell grabbed it.” Vale glanced towards the market stalls. “Sorn wore blue.” “She still does?” “No. She changed coats.” “Where is the first one?” “In the security room.” Quinn stood and approached the nearest uniformed officer. “Constable, retrieve Sorn’s coat. Bag it before anyone touches it.” Vale caught her wrist. “Hold on.” Quinn looked down at his hand. He released her. “You think Sorn killed him?” “I think she wants us to think she did.” “Those aren’t the same thing.” “No. They’re not.” She pointed at Bell’s right hand. A pale ring marked the skin above his knuckle. The serpent ring remained on his finger, but the band had left a second indentation beneath it. “He wore another ring.” Vale bent over the body. “Could be an old mark.” “Too sharp. Recent removal.” Quinn searched the floor around Bell. Beneath the ticket booth, she found a broken thread of black wool. In the grout beside it, a fleck of white residue glittered like salt. She glanced at Vale’s rolled sleeves. “Where were you when the call came?” “On the platform entrance.” “Who found you?” “A market courier.” “Name?” “Didn’t get one.” Quinn’s eyes moved to his shoes. Pale dust clung to the soles. The same grey powder covered the platform, but his left shoe showed a dark smear at the edge. Black grit. Vale saw her looking. “I walked over here.” “From the entrance?” “Yes.” “Then why does your shoe carry grit from the service passage?” His face lost its loose, tired shape. The station’s white lamps caught the hard line of his cheek. “You’re accusing me?” “I’m asking where you went before you arrived.” “I told you.” “Your shoes disagree.” Vale looked towards the compass. The needle had stopped spinning. It pointed directly at him. Quinn drew her weapon. The officers around the body shifted, hands moving towards their holsters. “Detective Inspector Vale,” Quinn said, “step away from the platform.” He stared at the compass. “That thing’s a trick.” “Step away.” “You’ve spent three years chasing ghosts, Quinn. Morris died because he did the same.” The name entered the station like a dropped stone. Quinn kept the pistol level. “Take your hands out of your pockets.” Vale smiled without warmth. Behind him, the lamps flickered. The shadows beneath the columns stretched across the tiles, passing over Bell’s body, the bone token, and the open service door. Vale’s fingers emerged from his coat. A silver serpent ring gleamed between them.
created_at"2026-07-09T18:17:12.979Z" 7/9/2026, 6:17:12 PM
model"openai/gpt-5.6-luna-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency454
moderation_latency(null)
generation_time14338
tokens_prompt1149
tokens_completion2917
native_tokens_prompt1009
native_tokens_completion2209
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"
usage0.014263
router(null)
provider_responses
0
endpoint_id"eebea444-34a5-4642-a766-cb319471d33a"
id"resp_0a95c050efc1b341016a4fe5a90a448193bda455592d4c299d"
is_byokfalse
latency217
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-1783621032-wpVNtL07Jvy1Zd6K5n2e"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783621032-he3wv8bbV4ciJvIBoF8D"
upstream_id"resp_0a95c050efc1b341016a4fe5a90a448193bda455592d4c299d"
total_cost0.014263
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)
dialogueSentences97
tagDensity0.052
leniency0.103
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1678
totalAiIsmAdverbs0
found(empty)
highlights(empty)
80.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Patel"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
76.16% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1678
totalAiIsms8
found
0
word"churned"
count1
1
word"electric"
count1
2
word"silk"
count3
3
word"velvet"
count1
4
word"warmth"
count1
5
word"flickered"
count1
highlights
0"churned"
1"electric"
2"silk"
3"velvet"
4"warmth"
5"flickered"
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
narrationSentences144
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences144
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences236
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen27
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1678
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions12
unquotedAttributions0
matches(empty)
26.87% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions69
wordCount1137
uniqueNames11
maxNameDensity2.46
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn28
Tube1
Camden2
Market1
Inspector1
Vale22
Bell8
Town1
Euston1
One3
persons
0"Harlow"
1"Quinn"
2"Vale"
3"Bell"
places
0"Camden"
1"Town"
2"Euston"
3"One"
globalScore0.269
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences94
glossingSentenceCount1
matches
0"looked like a coin carved from bone"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1678
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences236
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs160
mean10.49
std11.02
cv1.051
sampleLengths
016
128
251
36
450
59
634
76
813
96
103
116
1220
1312
143
1522
162
179
1833
194
2014
215
223
237
249
2511
2657
2711
281
297
304
312
322
338
342
354
3635
372
384
396
4039
414
424
434
445
4514
462
4723
4813
4938
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences144
matches
0"been moved"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs201
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences236
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1141
adjectiveStacks1
stackExamples
0"lay upside down beside it."
adverbCount17
adverbRatio0.014899211218229623
lyAdverbCount2
lyAdverbRatio0.0017528483786152498
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences236
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences236
mean7.11
std4.42
cv0.622
sampleLengths
016
16
215
37
45
510
612
724
86
98
1015
1110
128
139
149
1514
1612
178
186
194
209
216
223
236
245
2515
2612
273
2822
292
309
315
325
3315
348
354
364
3710
385
393
407
413
426
4311
449
458
4618
4711
4811
4911
51.41% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.326271186440678
totalSentences236
uniqueOpeners77
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences134
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount23
totalSentences134
matches
0"He wore a charcoal suit,"
1"His right hand rested open"
2"His left clutched a torn"
3"He had loosened his tie"
4"His shoes carried pale dust"
5"She stepped over the chalk"
6"His skull had split above"
7"He did not answer."
8"Her boots made no sound"
9"It looked like a coin"
10"He crouched beside her."
11"Its surface carried trays of"
12"She looked at the needle."
13"It pointed towards the tunnel."
14"She crossed the platform in"
15"She held her torch over"
16"She used a pen to"
17"He released her."
18"She pointed at Bell’s right"
19"She glanced at Vale’s rolled"
ratio0.172
19.70% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount118
totalSentences134
matches
0"Detective Harlow Quinn ducked beneath"
1"The tunnel swallowed the city’s"
2"Aboveground, Camden Market churned through"
3"Dust silvered the tiled walls."
4"A dead escalator descended into"
5"Someone had strung electric lamps"
6"Quinn stopped at the bottom"
7"A man lay beside the"
8"He wore a charcoal suit,"
9"Blood had spread beneath his"
10"His right hand rested open"
11"His left clutched a torn"
12"Detective Inspector Vale waited near"
13"He had loosened his tie"
14"His shoes carried pale dust"
15"Quinn checked her watch."
16"The worn leather strap pressed"
17"Vale glanced at the corpse."
18"Quinn moved towards the body"
19"Quinn looked at the booth."
ratio0.881
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences134
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences41
technicalSentenceCount0
matches(empty)
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
fancyCount1
fancyTags
0"Vale warned (warn)"
dialogueSentences97
tagDensity0.052
leniency0.103
rawRatio0.2
effectiveRatio0.021
84.9382%