Run: 2026-03-18-01KM09EPXX7160344REH7MJW1A

Run Details

Duration:
14.9s
Cost:
$0.012897
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 off the Soho awnings and turned the pavements into black glass. Detective Harlow Quinn drove her shoulder through the crowd outside The Raven’s Nest, ducked under a woman’s umbrella, and caught a glimpse of the man she had been tracking since Chelsea. Grey hood. White trainers. Left hand tucked to his ribs like he carried something sharp or precious. “Oi, stop!” Quinn’s voice cut through the hiss of traffic and the slap of rain. He looked back once, face slick with water and panic, then broke into a run. Quinn hit the street after him, boots skidding on the curb. A bus groaned past, red sides throwing up sheets of spray. The suspect vanished between a taxi and a delivery van, then reappeared on the far side, cutting hard through a knot of late drinkers. “Move!” Quinn barked, elbowing through a pair of smokers under a theatre canopy. One of them cursed her. The other raised a phone. Quinn kept running. The man shot down Greek Street, shoulders hunched, slipping in and out of the sodium light. Quinn’s lungs burned fast in the wet air. She had clocked him leaving a dead address in Fulham with a bag that had smelled faintly of antiseptic and rust. He had seen her car, seen her face, and bolted before she could get the cuffs on him. That alone was enough to make her chase. The look in his eyes had done the rest. A flash of movement ahead. He shoved through a cluster of tourists and nearly took a woman’s scarf with him. She spun, shouted something in Mandarin, and Quinn heard the slam of his shoes on wet stone. “Keep going,” Quinn muttered through clenched teeth. He angled east, not panicking now, choosing routes. That meant local knowledge. That meant planning. Quinn’s jaw tightened. She hated when they had plans. The man cut into a narrow lane between two closed restaurants, where the light went thin and the rain turned to a fine cold mist. Quinn followed, one hand brushing the brick as she swung around a corner slick with grease and water. The alley smelled of bin juice, old chips, and wet ash. He was faster than he looked. That annoyed her more than it should have. “Not getting away from me,” she called. He glanced over his shoulder, breath ragged enough to catch. His mouth opened. “Not from you,” he threw back. “From them.” Quinn nearly lost a step. “Who?” He didn’t answer. He sprinted out of the lane and into Wardour Street, where the traffic thinned at the late hour and the rain came down harder, hammering the roofs of parked cars. Quinn saw him weave around a cyclist, nearly clip the handlebars, then dive towards a service door half hidden beside a shuttered shop. The door had no sign. Just a tarnished brass handle and a peeling sticker for a pizza chain that had shut down years ago. He yanked it open and disappeared inside. Quinn reached it seconds later and found a flight of concrete steps dropping into darkness. A stale rush of air breathed up from below, carrying damp stone, bleach, and something else underneath, something metallic and sharp enough to taste. She took out her torch and swept the beam down the stairwell. “London Underground,” she muttered, though the tiles on the wall looked older than the line maps on the Tube. A sound came from below. Not footsteps. Voices. Low, quick, and threaded with tension. Quinn pushed the door wider and listened. Somewhere beneath the city, metal clinked against metal. A cart rattled. Someone laughed once, but it came out flat and wrong. The sound put a thin line across the back of her neck. Her radio crackled in her pocket. She slapped it on. “Control, I’m in pursuit. Suspect entered an access point off Wardour. I’m going underground.” Static answered, then a burst of almost-readable speech. “Quinn, units are tied up. Confirm location.” She stared into the stairwell. “You wouldn’t know it if I gave it to you.” “Quinn?” She clicked the radio off. The steps were damp and steep. Water dripped from pipes along the walls. Her torch beam snagged on old tiles, half the platform signage gone under layered posters and mould. She kept one hand near her holster as she descended, the other on the rail slick with grime. The suspect’s footsteps echoed ahead, then changed. Less concrete. More open space. He had reached somewhere below. Quinn went down another flight and caught a glimpse of a platform edge behind a hanging curtain of plastic strips. Beyond that, the dark widened into a chamber lit by low amber lamps and moving points of coloured light. Shadows shifted. People moved in clusters. Stalls lined the walls where the tracks had once run. The Veil Market. She knew the stories. Every detective in the Met had heard a version. Hidden beneath Camden. Full moon. Bone tokens. Enchanted knives, powders that could stop a heart, bottled things with teeth. A place that shifted when the moon turned. A place people reached for only when they had run out of legal ways and clean ones. The stories had never described the smell. Ozone and sweat. Wet wool. Incense burned over old concrete. Blood, faint but present, as real as the rest of it. Quinn lowered the torch. The suspect had gone straight into the crowd, hood down now, face lost among buyers in long coats and women in dark velvet, among men with split lips and inked knuckles, among figures whose eyes caught the light in strange ways. One stall sold jars full of cloudy liquid that pulsed when someone passed. Another had racks of knives hung beside rosaries and silver needles. A child no older than twelve sat cross-legged on a crate and passed wrapped parcels to a man with no eyebrows. Quinn stepped off the stairs and onto the platform. A woman at a nearby stall clocked the badge on Quinn’s belt and narrowed her eyes. “This isn’t your bit of town,” she called, voice coated in smoke. Quinn kept moving, scanning the faces ahead. “Lost my map.” The woman snorted and went back to her wares. The suspect shoved through a pair of buyers and vanished behind a curtain of hanging beads. Quinn followed, shoulders tight, ignoring the stares that tracked her as she went. The market had its own rhythm. Coins changed hands. Prices were whispered. Nobody raised their voice unless they meant to draw steel. She caught sight of the hood again, now near a stall draped in red cloth. The man had stopped there. He was leaning in to speak to the vendor, a thin figure in a cap with silver rings on every finger. Quinn took three steps closer. “You brought the tail,” the vendor murmured, eyes on the man’s wet sleeve. He shook his head hard. “She followed. I didn’t lead her.” The vendor’s gaze slid to Quinn. “Police.” Quinn stopped at the edge of the stall. “And you’re selling in a Tube station. We all have hobbies.” The man spun to face her. He was younger than she had first thought, maybe mid-twenties, pale now under the market lights. Rain dripped off his chin. His right hand clenched around something small and dark. Quinn saw the flash of bone before he hid it. The token was no bigger than a coin, carved from something yellowed and porous, drilled with a narrow hole and threaded on twine. It sat warm and grimy in his fist. “There,” Quinn said. “That’s what you nicked.” His eyes darted to the token and back. “It’s not stolen.” “Funny thing to say while you’re out of breath and running from the police.” “It keeps the door open.” Quinn frowned. “What door?” The vendor let out a short laugh that held no humour. “You should leave.” Quinn ignored her and kept her eyes on the suspect. “What’s your name?” His mouth worked once before he answered. “Mateo.” “Right, Mateo. You’re going to tell me what’s in the bag you took from Fulham, why you’ve dragged me into a hole under Camden, and why every person down here looks at you like you’ve stepped on a grave.” Mateo’s grip tightened around the token until his knuckles blanched. “I didn’t steal the bag for me. I was told to bring it here.” “By who?” He shook his head. A murmur moved through the crowd behind Quinn. She felt it before she heard it, the way the market shifted when someone important or dangerous entered a space. Conversations thinned. Heads turned. Quinn glanced back. Two figures had appeared at the top of the stairs, black coats beaded with rain. One of them was broad and still. The other was narrower, the outline sharp despite the gloom. A woman’s face emerged under the amber light, close-cropped hair silvering at the temples, sharp jaw set hard enough to crack stone. Detective Harlow Quinn knew that posture. Military precision. No wasted movement. Detective Quinn of the Met, same force, same badge, same relentless look that came from sitting too long with bad outcomes. Harlow Quinn’s stomach tightened. Quinn reached for her own holster, then stopped. Not because of the badge. Because she saw the way the station crowd reacted. People stepped aside before the woman even opened her mouth. “Harlow,” the detective called, voice carrying over the market noise like a knife across glass. “Step away from him.” Mateo swore under his breath. “You brought her?” Quinn shot him a look. “I didn’t invite her.” Harlow came down the steps at a measured pace, brown eyes cutting across the market, over the stalls, over the crowd, and landing on Quinn as if she had already worked the whole thing out and found Quinn lacking. “You’re in plain sight,” Harlow said. “That’s a mistake for an officer.” “I wasn’t aware you were giving lessons.” Harlow’s gaze flicked to the token in Mateo’s hand. “He’s carrying market currency. Which means he’s carrying market obligations.” Quinn shifted her weight. “You’ve been following this too.” Harlow’s mouth barely moved. “I’ve been watching a series of burglaries, assaults, and one very unhappy dead man who turned up with traces of substances that don’t exist on any standard schedule. Your suspect is linked.” Mateo took one step back from the stall. “I’m done. I brought it back. I kept my end.” The vendor folded her arms. “Your end wasn’t enough.” Quinn watched the crowd close in by inches, not openly, just enough. A man with a scar over one eye drifted closer to the stairs. A woman with a fur collar shifted behind a rack of charms. The market had no visible barriers, but it had turned the air itself into a fence. Quinn spoke without taking her eyes off Harlow. “If I walk out now, you’ll take him?” Harlow glanced at Mateo, then back to Quinn. “If I let him walk, someone else will collect him before dawn. You know that.” Quinn did know it. That was the problem. She had chased the man through rain, down through a door with no sign, into a place built for secrets and knives. Her instincts shouted at her to drag him back into the street, where she owned the ground and the rules. But the market behind her hummed with transactions she didn’t understand, and Mateo’s hand trembled around that bone token like it was the only thing keeping him upright. He swallowed and faced Quinn fully. “They want the bag opened,” he said. “Not here. Below here.” Quinn held his stare. “What’s in it?” His face tightened. “Something that shouldn’t breathe.” Harlow’s expression changed at that. Just a flicker. Quinn caught it. Quick as a blade. The detective knew more than she had said. Quinn stepped between them half a pace, eyes moving from the token to the stairs to the dark beyond the stalls. The market felt tighter now, the air pressed flat by attention she could not see. Her hand rested on the grip of her pistol. One pull and the whole place might ignite. Or the crowd might close and swallow her. Above, the rain still hammered the city streets. Below, the Veil Market waited with its teeth hidden behind cloth and candlelight. Quinn looked at the stairs. Then at Mateo. Then at Harlow Quinn’s hard, unreadable face.
created_at"2026-03-18T10:56:52.682Z" 3/18/2026, 10:56:52 AM
model"openai/gpt-5.4-mini-20260317"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2256
moderation_latency(null)
generation_time14657
tokens_prompt1140
tokens_completion3332
native_tokens_prompt984
native_tokens_completion2702
native_tokens_completion_images0
native_tokens_reasoning61
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"
usage0.012897
router(null)
provider_responses
0
endpoint_id"9ee065b2-3d1c-43bc-bdd7-28af3b148282"
id"resp_0b949eba4b33f7f80169ba84f4bf008194a8162e22cc066c81"
is_byokfalse
latency188
model_permaslug"openai/gpt-5.4-mini-20260317"
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-1773831412-Ma3flcrnFkEJaXEDUCWf"
upstream_id"resp_0b949eba4b33f7f80169ba84f4bf008194a8162e22cc066c81"
total_cost0.012897
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
totalTags11
adverbTagCount0
adverbTags(empty)
dialogueSentences48
tagDensity0.229
leniency0.458
rawRatio0
effectiveRatio0
97.58% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount2070
totalAiIsmAdverbs1
found
0
adverb"very"
count1
highlights
0"very"
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)
58.94% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount2070
totalAiIsms17
found
0
word"footsteps"
count2
1
word"tension"
count1
2
word"echoed"
count1
3
word"velvet"
count1
4
word"pulsed"
count1
5
word"scanning"
count1
6
word"grave"
count1
7
word"gloom"
count1
8
word"stomach"
count1
9
word"measured"
count1
10
word"flicked"
count1
11
word"weight"
count1
12
word"standard"
count1
13
word"trembled"
count1
14
word"flicker"
count1
15
word"unreadable"
count1
highlights
0"footsteps"
1"tension"
2"echoed"
3"velvet"
4"pulsed"
5"scanning"
6"grave"
7"gloom"
8"stomach"
9"measured"
10"flicked"
11"weight"
12"standard"
13"trembled"
14"flicker"
15"unreadable"
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
narrationSentences187
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences187
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences223
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen41
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords2070
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions14
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions90
wordCount1769
uniqueNames19
maxNameDensity2.66
worstName"Quinn"
maxWindowNameDensity5
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow11
Quinn47
Raven1
Nest1
Chelsea1
One4
Greek1
Street2
Fulham1
Mandarin1
Wardour1
Tube1
Veil2
Market2
Met2
Camden1
Mateo7
Detective3
persons
0"Harlow"
1"Quinn"
2"Nest"
3"Chelsea"
4"One"
5"Market"
6"Mateo"
7"Detective"
places
0"Soho"
1"Raven"
2"Greek"
3"Street"
4"Fulham"
5"Mandarin"
6"Wardour"
globalScore0.172
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences117
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount2070
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences223
matches
0"knew that posture"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs95
mean21.79
std18.77
cv0.862
sampleLengths
044
117
215
315
446
513
613
780
837
97
1024
1154
1214
137
1413
158
166
1756
1824
197
2039
2112
2219
2314
2440
2510
2614
2715
2815
291
305
3148
3217
3355
343
3557
3628
374
3886
399
4016
4112
4210
439
4451
4541
465
4713
4811
497
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences187
matches
0"were whispered"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs305
matches
0"was leaning"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences223
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1773
adjectiveStacks0
stackExamples(empty)
adverbCount50
adverbRatio0.02820078962210942
lyAdverbCount9
lyAdverbRatio0.005076142131979695
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences223
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences223
mean9.28
std7.25
cv0.781
sampleLengths
013
131
22
32
413
515
615
711
811
924
1013
115
125
133
1416
158
1621
1718
188
199
205
2115
2217
237
248
254
263
273
286
2925
3018
3111
326
338
347
3510
363
376
382
395
401
413
4230
4323
445
4519
467
4715
4824
4912
56.35% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.3542600896860987
totalSentences223
uniqueOpeners79
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount6
totalSentences170
matches
0"Just a tarnished brass handle"
1"Somewhere beneath the city, metal"
2"More open space."
3"Just a flicker."
4"Then at Mateo."
5"Then at Harlow Quinn’s hard,"
ratio0.035
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount40
totalSentences170
matches
0"He looked back once, face"
1"She had clocked him leaving"
2"He had seen her car,"
3"He shoved through a cluster"
4"She spun, shouted something in"
5"He angled east, not panicking"
6"She hated when they had"
7"He was faster than he"
8"He glanced over his shoulder,"
9"His mouth opened."
10"he threw back"
11"He didn’t answer."
12"He sprinted out of the"
13"He yanked it open and"
14"She took out her torch"
15"she muttered, though the tiles"
16"Her radio crackled in her"
17"She slapped it on."
18"She stared into the stairwell."
19"She clicked the radio off."
ratio0.235
30.59% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount146
totalSentences170
matches
0"Rain sheeted off the Soho"
1"Detective Harlow Quinn drove her"
2"Quinn’s voice cut through the"
3"He looked back once, face"
4"Quinn hit the street after"
5"A bus groaned past, red"
6"The suspect vanished between a"
7"Quinn barked, elbowing through a"
8"The other raised a phone."
9"Quinn kept running."
10"The man shot down Greek"
11"Quinn’s lungs burned fast in"
12"She had clocked him leaving"
13"He had seen her car,"
14"That alone was enough to"
15"The look in his eyes"
16"A flash of movement ahead."
17"He shoved through a cluster"
18"She spun, shouted something in"
19"Quinn muttered through clenched teeth"
ratio0.859
29.41% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences170
matches
0"Because she saw the way"
ratio0.006
98.90% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences65
technicalSentenceCount4
matches
0"She had clocked him leaving a dead address in Fulham with a bag that had smelled faintly of antiseptic and rust."
1"Quinn followed, shoulders tight, ignoring the stares that tracked her as she went."
2"Detective Quinn of the Met, same force, same badge, same relentless look that came from sitting too long with bad outcomes."
3"Harlow came down the steps at a measured pace, brown eyes cutting across the market, over the stalls, over the crowd, and landing on Quinn as if she had already…"
79.55% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags11
uselessAdditionCount1
matches
0"she called, voice coated in smoke"
66.67% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags10
fancyCount4
fancyTags
0"Quinn barked (bark)"
1"Quinn muttered (mutter)"
2"she muttered (mutter)"
3"the vendor murmured (murmur)"
dialogueSentences48
tagDensity0.208
leniency0.417
rawRatio0.4
effectiveRatio0.167
87.2663%