Run: 2026-03-09-01KKAC4NHQ2GTG1KJGHP4M9QBQ

Run Details

Duration:
1m 10s
Cost:
$0.046680
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="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> <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> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. 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 sheeted across Soho and turned Brewer Street into a strip of black glass. Headlights dragged through the water in broken ribbons. Taxis hissed past kerbs. Somewhere behind the traffic, a siren wailed and cut off. Detective Harlow Quinn came out of the alley at a run, coat open, shirt plastered to her back, breath burning her throat. Her boots slapped through a gutter swollen with cigarette ends and rain. Fifty feet ahead, a man in a dark coat clipped a shoulder off a late-night smoker and vaulted a bollard without breaking stride. Quinn drove harder. The man glanced back once. Pale face. Narrow chin. A flash of his mouth pulled thin with strain. Then he cut left under the green neon sign of The Raven’s Nest. Quinn swore and shouldered through the door a beat later. Heat, beer, and old wood hit her at once. The place sat in amber gloom, maps curling on the walls, black-and-white photographs hung crooked in frames that had seen too many winters. A couple at the bar jerked round. Someone near the dartboard let out a sharp protest when Quinn’s wet coat flung rain across his pint. The barman froze with a glass in his hand. Heavy shoulders. White shirt with the sleeves rolled. His eyes flicked past Quinn to the back corridor, then settled on her leather warrant card. “Police,” Quinn snapped. “Where did he go?” The barman set the glass down with care. “Busy night for running.” “Don’t waste my time.” “He’s not here.” Quinn crossed the floor. Her hand smacked the bar top, rattling a line of tumblers. “You looked at the back. I saw it. Which way?” A woman on a stool slid off and backed away. A man near the fruit machine muttered into his glass. The barman wiped his hands on a towel that stayed folded and neat despite the rush in the room. “You’ve got no warrant.” Quinn leaned in. Rain ran off her cropped hair and traced her cheek to her jaw. “I’ve got a suspect who lifted evidence from an active homicide board and put a knife in a uniform constable on Greek Street. I catch him now, or I come back with half the Met and peel your walls open plank by plank. Pick the version you like.” The barman held her gaze. No blink. No twitch. Then he tipped his chin towards the rear. “Through there.” Quinn moved before he finished. She shoved through a narrow corridor lined with framed naval charts and old photographs of prizefighters, shouldered into a stock room stacked with crates, and stopped dead. Empty. No man. No window. Brick walls wet with old damp. Shelves of bottles. A sagging sofa. A bookshelf crammed with paperbacks and ledgers against the far wall. She heard it then. A thud beyond the room. A scrape of wood against wood. Quinn lunged at the shelf and caught the edge as it swung back into place. Hidden hinges groaned. Cold air breathed through the gap, carrying coal dust, mildew, and something metallic underneath. Her pulse kicked harder. Behind her, the barman filled the doorway and planted a hand on the frame. “That’s private.” Quinn looked at the dark slit behind the shelf. Stone steps dropped away into black. “You should have led with that.” “You don’t want to go down there.” “Then your friend picked the right hole.” “He’s not my friend.” “Whose blood’s on the floor out there?” The barman’s jaw set. “You don’t have the right for this.” Quinn touched the butt of the Taser clipped under her coat, then thought better of it. Wrong kind of room for a clean arrest. Too many blind corners. Too much she didn’t know. She stepped closer to the opening. “You call this in, you tell them Detective Harlow Quinn went through in pursuit of a violent suspect.” “You go down there alone, you won’t like what follows you back.” Quinn turned her head. “You can add that to your statement.” She slipped through the gap and took the stairs two at a time. The noise of the bar died at once. London narrowed to the strike of her boots on stone and the rush of her breathing. The stairwell bent left, then right, old brick sweating under weak yellow bulbs caged in rust. Water dripped from overhead pipes. A train groaned somewhere far off, deep in the ground, like an animal turning in sleep. The steps ended at a service tunnel wide enough for two men abreast. The suspect had knocked over a stack of plastic crates in his hurry. One still spun on its edge. Quinn drew her torch and kept moving. The beam skimmed flaking station signs from another age, black letters ghosting through soot. CAM—. The rest had cracked away. She knew the abandoned lines under the city in broad strokes. Every detective in London did. Sealed stations. Wartime shelters. Smuggler routes. Bodies left where no one meant to go. Her radio crackled on her shoulder, choked by static. “Quinn, report.” She hit transmit as she jogged. “Foot pursuit. Male suspect. Dark coat, mid-thirties. Entered a concealed access below The Raven’s Nest. I’m underground.” Static. Then a sergeant’s voice, thin and annoyed. “You’re where?” “Underground.” “That line’s dead on our maps.” “Put units on exits around Camden and Soho. I’ll update when I have a route.” “Harlow, hold position till support—” The signal broke apart in a burst of hiss and went silent. Quinn lowered the radio. Good. One less voice in her ear. The tunnel forked. She crouched, touched two fingers to the wet concrete. Fresh scuff marks dragged right. A smear of muddy water marked the wall where a hand had caught itself. She followed. The air changed first. Less mould. More heat. A thread of sound drifted through the tunnel. Not train noise. Human noise. Voices layered over one another. Laughter. Metal clinking. Music with no clear source, all strings and low percussion and something like a flute played through a cracked lung. Quinn slowed. The right-hand tunnel opened onto a disused platform swallowed by shadows and weak electric light. Old enamel tiles showed through grime in strips of cream and green. The tracks had vanished under boards and patched steel plates, and in their place a market sprawled beneath the arches like a city grown inside a carcass. Stalls packed the platform edge and spilled onto the track bed. Tarpaulins hung from iron columns. Bare bulbs glowed behind coloured glass. Smoke twisted under the low ceiling and caught in the station lamps. People pressed shoulder to shoulder through the aisles, faces lit in flashes: sharp suits, council estate hoodies, old women with rings on every finger, men with shaved heads and antique umbrellas, girls in velvet coats, one child with a cage covered by a blanket that shuddered from inside. A butcher’s block held cuts of meat too dark and glossy to pass for beef. A woman in fox fur sold little stoppered bottles from a velvet tray. A table of teeth lay in tidy rows beside a stack of train tickets tied in red twine. An old man under a signal board thumbed through photographs that moved when the light hit them. Quinn stood in the mouth of the tunnel and took one stunned breath. No one stared at the old station. Plenty stared at her. The suspect shoved through the crowd forty yards ahead, head down, coat collar up. He clipped a hanging lamp and sent it swinging. Quinn moved. A woman at the nearest stall caught sight of Quinn’s warrant card and drew her wares under the counter with a quick practised sweep. “No police down here.” “Then move.” Quinn slammed through the crowd. Shoulders. Elbows. Wet wool. Perfume thick as syrup. A man with a gold tooth stepped across her path and spread both hands. “Bone token.” She didn’t slow. “Out of the way.” His gaze dropped to her empty hands. “No token, no market.” Quinn drove her shoulder into his chest and sent him crashing into a stack of wooden boxes. The lid burst off one. Dozens of pale knucklebones rattled across the tiles. A hiss rose from the crowd, sharp and displeased. The man grabbed for her coat. Quinn caught his wrist, twisted, and pinned him against a pillar. “Suspect in a dark coat came through here. Which way?” Pain split across his face. His free hand fluttered towards the bones skittering at his feet. “You pay first.” She bent his wrist another inch. He sucked air through his teeth. “There.” He jerked his chin down the platform. Quinn released him and pushed on. The market warped around her as she ran. A cage of black birds burst into frantic beating when she passed. Someone pulled a curtain across a booth full of blue flames burning in glass bowls. A butcher laughed with blood to his elbows. Two men argued over a map that changed shape between their hands. Quinn kept her eyes on the suspect. He hurdled a crate, slipped between a stall draped in yellow charms and a locked gate marked STAFF ONLY, and vanished into another tunnel mouth. She hit the gap seconds later and found herself face to face with a young man stepping out with a doctor’s bag in one hand and a torch in the other. He had short dark curls flattened by damp, warm brown eyes gone wary in an instant, olive skin, and a Saint Christopher medallion bright against his throat. His left forearm showed where his sleeve had ridden up, a white scar running its length. He planted his feet when he saw her. “Stop there.” Quinn checked just enough not to collide with him. “Move.” He looked past her to the market, then back to her badge. “You’re police.” “You’ve got eyes. Move.” “No one runs through the lower tunnels blind.” “My suspect just did.” “He knew the route.” “Then he can show me.” The man shifted his bag to the other hand. “You don’t know what sits beyond this platform.” Quinn’s breath steamed in the colder air pouring from the tunnel behind him. “I know a man stabbed a constable and stole case files linked to two bodies and a witness who vanished off Camden High Street. I know he ran here. That’s enough for tonight.” The man’s gaze narrowed as if he weighed the words for rot. “What case files?” Quinn took in the bag, the clean hands, the medallion, the faint chemical sting on his clothes beneath the rain. “You a medic?” He gave one short nod. “Tomás.” “Tomás what?” “Herrera.” “Fine, Herrera. You patch people up down here?” “I keep people breathing.” “Then keep this simple. He went through. I follow.” Herrera glanced into the tunnel at his back. The music from the market thinned behind them. Water ticked somewhere in the dark. “He won’t have gone far.” “Good.” “That wasn’t reassurance.” “I didn’t ask for any.” A commotion swelled behind Quinn. The gold-toothed gatekeeper had found his feet and brought company. Three men shouldered through the crowd, one pointing at her, another scooping up the spilled knucklebones and jamming them into his pocket as he ran. Herrera heard them and hissed a curse under his breath. “You started something.” “They started standing in my way.” One of the men shouted from the platform. “She smashed Mikey’s stall. Grab her.” Quinn turned halfway, judged the distance, the bottleneck, the tunnel, Herrera, the dark beyond him. Her hand brushed the radio. No signal. No backup. No map. The suspect gone deeper. The market waking up around her like a hive prodded with a stick. Herrera watched her face and read the calculation. “If you go in there, you lose the crowd. You also lose every easy exit.” “If I stay here, I lose him.” “You could walk out now.” Quinn looked back at the tunnel. Black brick. Cold breath. A curve that swallowed the light after ten yards. Three years ago Morris had gone through a warehouse door first because she had paused to call for support. She still saw the door swinging. Still heard the shot that came after. Still found her own hand reaching for a man she never dragged back. The men from the market closed in. One had a length of chain wrapped round his fist. Another held a narrow knife at his thigh and smiled like this counted as sport. Herrera stepped aside, only an inch, enough to clear the tunnel mouth. “You make the choice fast.” Quinn met his eyes. “You coming?” “No.” “Then don’t block the road.” She turned to the men bearing down on her and pulled one of the spilled knucklebones from her pocket where it must have lodged in the collision. Small. Pale. Polished by fingers. The one with the chain barked a laugh. “She found the toll.” Quinn flipped the bone at him. It struck his forehead and dropped. As he flinched, she pivoted, seized Herrera by the lapel, shoved him against the tunnel wall to clear her line, and drove into the dark passage at a sprint.
created_at"2026-03-09T22:40:31.812Z" 3/9/2026, 10:40:31 PM
model"openai/gpt-5.4-20260305"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency5069
moderation_latency(null)
generation_time70322
tokens_prompt1140
tokens_completion3628
native_tokens_prompt984
native_tokens_completion2948
native_tokens_completion_images0
native_tokens_reasoning160
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
usage0.04668
router(null)
provider_responses
0
endpoint_id"9ff5625c-403f-4d7f-b895-58ac7295062c"
id"resp_094ca0759cbae1dc0169af4c5fe9688194af588c11784dda82"
is_byokfalse
latency273
model_permaslug"openai/gpt-5.4-20260305"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773096031-D4cBbi3ef6yUTXfmn3hg"
upstream_id"resp_094ca0759cbae1dc0169af4c5fe9688194af588c11784dda82"
total_cost0.04668
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences67
tagDensity0.015
leniency0.03
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount2193
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)
81.76% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount2193
totalAiIsms8
found
0
word"gloom"
count1
1
word"flicked"
count1
2
word"traced"
count1
3
word"pulse"
count1
4
word"electric"
count1
5
word"velvet"
count2
6
word"fluttered"
count1
highlights
0"gloom"
1"flicked"
2"traced"
3"pulse"
4"electric"
5"velvet"
6"fluttered"
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
emotionTells0
narrationSentences198
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences198
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences264
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen48
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords2193
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
50.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions54
wordCount1783
uniqueNames14
maxNameDensity1.79
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Quinn"
discoveredNames
Soho1
Brewer1
Street1
Harlow1
Quinn32
Raven1
Nest1
Taser1
London2
Saint1
Christopher1
Herrera6
Morris1
One4
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Taser"
4"Saint"
5"Christopher"
6"Herrera"
7"Morris"
8"One"
places
0"Soho"
1"Brewer"
2"Street"
3"London"
globalScore0.603
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences126
glossingSentenceCount1
matches
0"something like a flute played through a crac"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount2193
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences264
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs145
mean15.12
std16.07
cv1.063
sampleLengths
036
157
23
331
410
557
633
77
88
94
104
113
1215
1310
1420
1519
164
1716
1848
1917
202
2132
221
2327
2415
2532
264
2714
282
2915
306
317
327
334
347
354
367
3739
3818
3912
404
417
4213
4361
4432
457
4650
479
482
496
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences198
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs292
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences264
ratio0.004
matches
0"CAM—."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1788
adjectiveStacks1
stackExamples
0"under weak yellow bulbs"
adverbCount37
adverbRatio0.02069351230425056
lyAdverbCount2
lyAdverbRatio0.0011185682326621924
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences264
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences264
mean8.31
std7.13
cv0.858
sampleLengths
014
18
24
310
422
512
623
73
85
92
102
119
1213
1310
149
1523
167
1718
189
192
206
2116
223
234
248
254
264
273
284
2911
3010
3110
3210
3319
344
353
3613
3748
385
392
402
418
422
435
4427
451
462
472
486
493
55.68% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats18
diversityRatio0.375
totalSentences264
uniqueOpeners99
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount8
totalSentences165
matches
0"Somewhere behind the traffic, a"
1"Then he cut left under"
2"Then he tipped his chin"
3"Too many blind corners."
4"Too much she didn’t know."
5"Then a sergeant’s voice, thin"
6"Still heard the shot that"
7"Still found her own hand"
ratio0.048
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount30
totalSentences165
matches
0"Her boots slapped through a"
1"His eyes flicked past Quinn"
2"Her hand smacked the bar"
3"She shoved through a narrow"
4"She heard it then."
5"Her pulse kicked harder."
6"She stepped closer to the"
7"She slipped through the gap"
8"She knew the abandoned lines"
9"Her radio crackled on her"
10"She hit transmit as she"
11"She crouched, touched two fingers"
12"He clipped a hanging lamp"
13"She didn’t slow."
14"His gaze dropped to her"
15"His free hand fluttered towards"
16"She bent his wrist another"
17"He sucked air through his"
18"He jerked his chin down"
19"He hurdled a crate, slipped"
ratio0.182
53.94% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount134
totalSentences165
matches
0"Rain sheeted across Soho and"
1"Headlights dragged through the water"
2"Taxis hissed past kerbs."
3"Detective Harlow Quinn came out"
4"Her boots slapped through a"
5"Quinn drove harder."
6"The man glanced back once."
7"A flash of his mouth"
8"Quinn swore and shouldered through"
9"The place sat in amber"
10"A couple at the bar"
11"Someone near the dartboard let"
12"The barman froze with a"
13"His eyes flicked past Quinn"
14"The barman set the glass"
15"Quinn crossed the floor."
16"Her hand smacked the bar"
17"A woman on a stool"
18"A man near the fruit"
19"The barman wiped his hands"
ratio0.812
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences165
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences72
technicalSentenceCount3
matches
0"The place sat in amber gloom, maps curling on the walls, black-and-white photographs hung crooked in frames that had seen too many winters."
1"People pressed shoulder to shoulder through the aisles, faces lit in flashes: sharp suits, council estate hoodies, old women with rings on every finger, men wit…"
2"An old man under a signal board thumbed through photographs that moved when the light hit them."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"Quinn snapped (snap)"
dialogueSentences67
tagDensity0.015
leniency0.03
rawRatio1
effectiveRatio0.03
91.1794%