Run: 2026-07-09-01KX40XJ9K35VBGCTAF5G8G2VG

Run Details

Duration:
13.9s
Cost:
$0.014947
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
Rain had polished Camden’s pavements to black glass by the time Detective Harlow Quinn reached the shuttered entrance beneath the railway bridge. The station had been closed since 1987, though the council had never managed to remove the blue Underground roundel. Its paint had blistered around the edges. Graffiti crawled across the brickwork. A temporary police barrier sagged between two iron railings. Constable Reed stood beneath it with a torch in one hand and a paper cup in the other. “You’re late,” he called. Quinn checked the worn leather watch on her left wrist. “By three minutes.” “Which is late.” She gave him the look that had ended arguments in interview rooms. Reed lowered his cup. “What have we got?” “Male victim. Name’s Callum Venn, according to the wallet. Thirty-five. No phone. No witnesses.” Reed glanced at the black mouth of the stairwell. “Found by a pair of urban explorers at twenty past ten.” “Cause of death?” “Still waiting on the pathologist.” “You saw the body.” “I saw a body with a hole through the chest.” He swallowed. “Big one.” Quinn ducked under the barrier. The stairwell descended beneath Camden in a narrow run of cracked concrete. Water tapped from the ceiling. Each drop struck a different step, building a crooked rhythm in the dark. Her torch cut across old posters, rusted handrails and faded warnings about trespassing. At the bottom, an arched passage opened into the abandoned platform. The place smelled of wet stone, paraffin and something sweet enough to turn her stomach. Not decay. Not blood. Sugared almonds. Uniformed officers stood along the platform edge, their faces washed pale by portable lamps. Beyond them, the old tracks vanished into a tunnel stuffed with darkness. Someone had strung electric bulbs from the ceiling. Their wires sagged like vines. The crime scene occupied the centre of the platform. Callum Venn lay on his back beside a toppled wooden stall. He wore a dark coat, polished boots and a silver ring on every finger. His shirt had split from collar to belt. The wound in his chest looked less like a stab wound than a doorway cut into him: a clean, black-edged aperture beneath the breastbone. No blood had soaked the shirt. Quinn stopped three paces away. Detective Sergeant Lionel Vale crouched near the body, broad shoulders packed into a rain-darkened suit. He held a notebook over one knee. His hair had thinned to a grey strip above his ears, and his expression suggested that he had already solved the case. “Quinn,” he called. “You took your time.” “Reed made the same observation.” “Then Reed has an eye for detail.” Vale rose, brushing dust from his trousers. “Victim ran a protection racket around Camden. We’ve had complaints for months. The market crowd hated him. One of them finally opened him up.” “What market crowd?” Vale gestured around the platform. Stalls lined the opposite wall, most covered with black cloth. Glass jars glimmered beneath one counter. A cage held a cluster of pale moths that pressed their wings against the bars. At the far end, a woman with curly red hair stood beside a pillar, her worn leather satchel clutched against her ribs. Eva Kowalski watched the body through round glasses. Her green eyes moved from the wound to the stall, then to Quinn. Quinn recognised her from three previous investigations involving stolen museum artefacts and one minor explosion in Bloomsbury. “Miss Kowalski,” Quinn called. Eva tucked a curl behind her left ear. “Detective Quinn.” “What are you doing here?” “Research.” “At a crime scene?” “I was here before it became a crime scene.” Vale gave a humourless laugh. “She’s one of them. Occult books, secret societies, all that rubbish. She says this place is a market.” “It is a market,” Eva replied. Vale pointed towards the covered stalls. “It’s an illegal trading floor beneath a disused Tube station. We found the victim’s fingerprints on half the goods. The murder happened during a dispute over stolen alchemical chemicals. That interpretation fits the evidence.” “Which evidence?” “The body. The location. The victim’s record.” “Those are circumstances.” “They’re enough to start with.” Quinn moved closer to Venn. The platform’s tiles had been scrubbed clean in a rough circle around the body. Dust still gathered in the grout beyond it. A small brass object lay near the victim’s right hand. She crouched without touching it. The compass had a greenish patina along its casing. Protective sigils had been etched around the face, each one fine enough to require a jeweller’s tools. The needle trembled beneath the glass. It pointed not north, but towards the sealed tunnel. Quinn looked at the body again. “Who found him?” “Two students,” Vale said. “They ran upstairs. Reed met them in the street.” “Where are they?” “St John’s ambulance took one. Panic attack. The other went home with her parents.” “Did either of them touch the body?” “No.” “Did anyone?” Vale’s eyes narrowed. “Not that I know of.” Quinn stood and scanned the scene. Six pairs of police boots marked the dust beyond the circle. None crossed it. The explorers’ footprints began at the stairs and stopped beside the stall. A third set of prints appeared beside the body: narrow soles, sharp heels, each impression filled with a glimmering grey powder. She pointed her torch down. “Who walked here?” Vale glanced at the marks. “The victim, presumably.” “Venn wore boots.” “People change shoes.” “Did he?” Vale checked his notebook. “His wallet, keys and coat were intact. No spare shoes.” Quinn followed the prints. They began at the edge of the scrubbed circle, crossed to the wooden stall and ended at a small brass hatch in its front. The hatch stood open. Inside lay a nest of velvet, a broken glass vial and a smear of silver paste. She drew on a pair of gloves. “Careful,” Vale warned. “Forensics are on their way.” “They’ll forgive me.” She lifted the compass with a folded evidence bag and placed it on the stall’s counter. The needle jerked towards the tunnel. Then it swung back, pointing directly at Venn’s chest. Eva stepped nearer. “Don’t open it,” she said. Quinn looked at her. “The compass?” “The hatch.” “I already opened the hatch.” Eva’s fingers tightened around her satchel strap. “Then don’t put your hand inside.” Vale snorted. “This is what I mean. She’s been reading too many medieval grimoires.” “What’s inside?” Quinn asked. “Nothing you want.” “That answer has never stopped anyone in this profession.” Quinn crouched and angled her torch into the hatch. The velvet lining held several strands of dark hair, a coin stamped with a face that had too many eyes and a thumb-sized bottle filled with cloudy blue liquid. The bottle’s wax seal had broken. A faint shimmer moved through the liquid like a fish beneath ice. The sweet almond smell thickened. Vale moved beside her. “Alchemical drugs. Venn’s racket.” “Then why did the killer leave them?” “Didn’t have time to take them.” “He had time to scrub the floor.” Vale’s jaw worked. “You’re assuming the floor was scrubbed.” Quinn pointed to the clean circle. “The dust outside the circle contains footprints. Inside, none. The body fell here, but no one approached it. That means the body arrived after the floor was cleaned.” “Dragged?” “No drag marks.” “Carried.” “Then where are the footprints of the people who carried him?” Vale glanced down. The certainty slipped from his face. Quinn moved around the body. Venn’s coat had no creases across the shoulders or back. His boots sat squarely against the tiles. His left hand curled around nothing. The fingers had gone blue at the tips, but the skin around the wound remained unmarked. She examined the hole in his chest without touching it. Its edges had browned, not torn. A thin line of black residue traced the ribs beneath the split shirt. “No impact damage,” she said. Vale folded his arms. “The weapon could have been narrow.” “A weapon doesn’t remove blood.” “Burning does.” “Burning leaves heat damage. There’s none.” Eva tucked her hair behind her ear again. “It wasn’t a weapon.” Vale turned on her. “You’re not qualified to offer an opinion.” “I work in restricted archives at the British Museum. I’ve catalogued ritual injuries from three continents.” “Congratulations.” Eva ignored him and looked at Quinn. “The marks around the wound are transfer sigils. They open a passage through a living surface.” “A passage to where?” Eva glanced towards the tunnel. “That depends on what made it.” The lamps flickered. Every moth in the cage folded its wings at once. Quinn held the compass above the body. The needle spun so fast it blurred. Then the glass face cracked with a sharp pop. Vale reached for his radio. “Power surge?” “No,” Eva said. Quinn lowered the compass. The crack ran across the protective sigils and stopped at the centre of the face. Beneath it, a second needle had appeared, thin as a black hair. It pointed straight down. Quinn swept her torch across the tiles beneath Venn. The cleaned circle showed no blood, no drag marks and no footprints. But at the edge of the body’s shadow, where the lamps should have cast only darkness, a narrow line of grey powder curved beneath his ribs and continued into the grout. The line formed a doorway. Quinn looked at Vale. “Seal the station,” she ordered. He hesitated. “On what grounds?” She pointed to the body’s chest, then the powder beneath it. “The victim wasn’t killed here.” Vale’s radio crackled in his hand. From the tunnel came a faint metallic click, followed by the sound of a lock turning.
created_at"2026-07-09T18:05:56.415Z" 7/9/2026, 6:05:56 PM
model"openai/gpt-5.6-luna-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2340
moderation_latency(null)
generation_time13280
tokens_prompt1149
tokens_completion2879
native_tokens_prompt1009
native_tokens_completion2323
native_tokens_completion_images0
native_tokens_reasoning210
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"
usage0.014947
router(null)
provider_responses
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endpoint_id"eebea444-34a5-4642-a766-cb319471d33a"
id"resp_0cce3176fc505adf016a4fe30481148197882434ffb47ebdef"
is_byokfalse
latency227
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-1783620356-BlKkF37hHjGcLPqfMR06"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783620356-ZUPo104EbnDmx99J3kZ9"
upstream_id"resp_0cce3176fc505adf016a4fe30481148197882434ffb47ebdef"
total_cost0.014947
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
totalTags13
adverbTagCount0
adverbTags(empty)
dialogueSentences84
tagDensity0.155
leniency0.31
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1606
totalAiIsmAdverbs0
found(empty)
highlights(empty)
100.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
71.98% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1606
totalAiIsms9
found
0
word"stomach"
count1
1
word"electric"
count1
2
word"etched"
count1
3
word"trembled"
count1
4
word"scanned"
count1
5
word"velvet"
count2
6
word"traced"
count1
7
word"flickered"
count1
highlights
0"stomach"
1"electric"
2"etched"
3"trembled"
4"scanned"
5"velvet"
6"traced"
7"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
narrationSentences131
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences131
filterMatches
0"watch"
hedgeMatches
0"managed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences202
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen34
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1606
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
50.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions67
wordCount1107
uniqueNames13
maxNameDensity1.9
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Quinn"
discoveredNames
Camden2
Detective2
Harlow1
Quinn21
Underground1
Reed3
Venn5
Sergeant1
Lionel1
Vale19
Kowalski1
Bloomsbury1
Eva9
persons
0"Camden"
1"Harlow"
2"Quinn"
3"Reed"
4"Venn"
5"Sergeant"
6"Lionel"
7"Vale"
8"Kowalski"
9"Eva"
places
0"Bloomsbury"
globalScore0.551
windowScore0.5
87.50% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences80
glossingSentenceCount2
matches
0"appeared beside the body: narrow soles, sharp heels, each impression filled with a glimmering grey powder"
1"appeared, thin as a black hair"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.623
wordCount1606
matches
0"not north, but towards the sealed tunnel"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences202
matches
0"suggested that he"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs121
mean13.27
std14.99
cv1.129
sampleLengths
062
118
24
313
43
516
64
734
83
95
104
1114
125
1354
1415
154
162
1739
189
1957
206
215
2244
237
245
257
2631
273
2858
2921
3017
314
3210
335
341
354
369
3723
386
3940
402
417
423
435
4437
455
4641
476
483
4913
97.23% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences131
matches
0"been closed"
1"been scrubbed"
2"been etched"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs184
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences202
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount760
adjectiveStacks1
stackExamples
0"clean, black-edged aperture"
adverbCount14
adverbRatio0.018421052631578946
lyAdverbCount1
lyAdverbRatio0.0013157894736842105
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences202
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences202
mean7.95
std6.05
cv0.761
sampleLengths
022
119
27
35
49
518
64
710
83
93
1012
114
124
1323
1411
153
165
174
1812
192
205
2112
225
2313
2413
2511
2615
272
282
292
3014
3112
328
335
349
3511
3614
378
3824
396
405
4115
427
4322
443
454
465
477
487
4924
60.23% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.37623762376237624
totalSentences202
uniqueOpeners76
59.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences113
matches
0"Then it swung back, pointing"
1"Then the glass face cracked"
ratio0.018
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences113
matches
0"Its paint had blistered around"
1"She gave him the look"
2"Her torch cut across old"
3"Their wires sagged like vines."
4"He wore a dark coat,"
5"His shirt had split from"
6"He held a notebook over"
7"His hair had thinned to"
8"Her green eyes moved from"
9"She crouched without touching it."
10"It pointed not north, but"
11"She pointed her torch down."
12"They began at the edge"
13"She drew on a pair"
14"She lifted the compass with"
15"His boots sat squarely against"
16"His left hand curled around"
17"She examined the hole in"
18"Its edges had browned, not"
19"It pointed straight down."
ratio0.186
17.52% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount100
totalSentences113
matches
0"Rain had polished Camden’s pavements"
1"The station had been closed"
2"Its paint had blistered around"
3"Graffiti crawled across the brickwork."
4"A temporary police barrier sagged"
5"Constable Reed stood beneath it"
6"Quinn checked the worn leather"
7"She gave him the look"
8"Reed lowered his cup."
9"Reed glanced at the black"
10"Quinn ducked under the barrier."
11"The stairwell descended beneath Camden"
12"Water tapped from the ceiling."
13"Each drop struck a different"
14"Her torch cut across old"
15"The place smelled of wet"
16"Someone had strung electric bulbs"
17"Their wires sagged like vines."
18"The crime scene occupied the"
19"Callum Venn lay on his"
ratio0.885
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences113
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences43
technicalSentenceCount2
matches
0"She gave him the look that had ended arguments in interview rooms."
1"The velvet lining held several strands of dark hair, a coin stamped with a face that had too many eyes and a thumb-sized bottle filled with cloudy blue liquid."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags13
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags11
fancyCount2
fancyTags
0"Vale warned (warn)"
1"she ordered (order)"
dialogueSentences84
tagDensity0.131
leniency0.262
rawRatio0.182
effectiveRatio0.048
87.9153%