Run: 2026-03-18-01KM07DQS299PY4H9FRY75EZAM

Run Details

Duration:
17.4s
Cost:
$0.013657
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 hammered Soho in hard, bright needles, turning the pavement into a black mirror that bent the neon from The Raven’s Nest into a green smear. Detective Harlow Quinn came up out of the crosswalk with her collar up and her tie slack at the throat, one hand on her coat, the other on the damp grip of her service pistol under her jacket. A figure in a dark hood cut across the road ahead of her. Quinn caught a flash of pale knuckles, a satchel thumping against a hip, and the man vanished between a taxi rank and a shuttered boutique. “Don’t even think about it,” she muttered, and drove after him. He sprinted past a closed kebab shop, boots skidding on wet paving stones, then hit the corner hard enough to bounce off the brick and keep moving. Quinn pushed through the same turn, rain beading on her cropped hair, the city closing around her in narrow lanes of steam and glass. “Stop!” He glanced back once. Hood up. Face hidden. But she caught the shape of him, lean and quick, with a runner’s gait and shoulders set like he knew exactly where the gaps in the city lived. He flung himself into Greek Street. Quinn lengthened her stride. A cab shot through the crossing and she jerked back, mud and spray slapping her trousers. When the cab cleared, the man had already gained another twenty yards. He darted past the glowing windows of a late-night off-licence, then cut left, straight toward the green neon hanging above The Raven’s Nest. She frowned as she ran. That bar sat on the edge of too many things. Deals. Secrets. Men with clean shoes and dirty hands. Quinn had stood at its door before, listening to people lie through their teeth over music and whisky. She had never liked the place, and the place had never liked her back. The suspect hit the entrance, yanked the door open, and slipped inside. Quinn was on the threshold a second later. Warm air, stale beer, spilled gin, and the sour bite of wet wool rolled over her. The bar glowed low and amber beneath old maps and black-and-white photographs. A couple of late drinkers hunched over their glasses in the corner, heads turning at the rush of rain and boots. The suspect didn’t slow. He crossed the floor, one hand on the strap of his satchel, and shoved through the narrow gap beside the bar. Quinn’s gaze flicked to the back room door, then to the bookshelf built into the wall. She knew enough by now to recognise a hidden hinge when she saw one. A panel of spines sat crooked by half an inch. “Quinn, love, not your night,” a man called from behind the bar. Silas. Thick forearms, grey beard, eyes that missed nothing. She kept moving. “Move it out of my way.” Silas planted one hand on the bar, blocking her line by nothing more than the weight of his body. “You chase him in here, you’ll have a harder time getting out.” “Then let me through.” His mouth twitched, not quite a smile. “Not that simple.” The suspect banged something against the hidden door on the other side of the bookshelf, a sharp crack of wood on wood. Quinn saw the panel shift wider, just enough to open a black seam in the wall. She drew her pistol halfway and let Silas see the barrel. “Last chance.” Silas lifted both hands and stepped aside. Quinn shoved the bookshelf aside with her shoulder. The hidden door opened into a narrow passage that stank of dust and damp plaster. The man she chased was already halfway down the corridor, one hand dragging along the wall for balance. A bulb buzzed overhead and threw a sick yellow wash over his back. “Get back here!” He shot down a set of stairs and vanished. Quinn followed. The passage bent under the building and dropped steeply. Her boots rang on old concrete. The air cooled with every step, carrying a smell she didn’t expect under a bar in Soho: wet soil, old metal, and something sweeter under it, like crushed flowers left too long in a vase. She kept her pistol up, left hand brushing the wall for steadiness. At the bottom, the tunnel opened into a service corridor she had never seen. Pipes ran overhead. The floor sweated with rainwater. Voices drifted ahead, layered over the distant clatter of trains that no longer ran. Her quarry’s footsteps slapped away through the dark. He rounded another bend. Quinn caught up just enough to see his shoulder and the satchel swinging hard against his side. “Oi!” He glanced back and threw something over his shoulder. Quinn dropped without thinking. The object cracked against the wall above her head and burst in a puff of white dust. The corridor flashed with a bitter sting at the back of her throat. She coughed once, got one knee under her, and came up angry. The man had gained the next landing. “Son of a bitch,” she breathed. Then she saw where he’d gone. A set of iron steps descended into a widened chamber beneath the Tube, and at the chamber’s mouth stood two figures in long coats, faces half-covered, arms folded like bouncers outside a club. One of them held out a hand. The suspect reached him, said something Quinn couldn’t catch, and the guard stepped aside. Quinn slowed by a fraction. She had seen hidden markets before in rumours, in reports that came in at three in the morning and vanished by breakfast, but the underground trade beneath Camden had always sat in the category of nonsense until now. A bone token. She remembered reading the note from an informant. Entry required a bone token. The phrase had sounded like a drunk’s embellishment. Not anymore. The corridor widened into a platform that had long since been stripped of rails and official signs. Stalls lined the space where old commuters once waited, though no one here sold coffee or newspapers. Lanterns hung from wires. Sheets of plastic and patched tarpaulin formed crooked awnings. People moved between them in rain-dark coats, masks, wrapped scarves, and jewellery that flashed with a hard, cold shine. Glass jars glimmered with powders and pale liquids. Crates held wrapped bundles. A woman with silver rings up both ears weighed small black objects on brass scales. A man in a hooded leather apron sliced open a sack and sniffed the contents like a sommelier. Quinn froze at the edge of the platform. The suspect had vanished into the crowd. A hand touched her sleeve. She twisted fast, pistol rising. The man who had touched her had skin the colour of old paper and a face lined like cracked stone. He took one look at the gun and lifted his hands, palms out. “Easy, detective.” “How do you know who I am?” He glanced at her coat, her stance, the miserable rain still dripping from her sleeve. “Your face was on the wrong side of a few warnings.” Her eyes tracked over him, then over the market. Guards stood in pockets near the stalls. Not police. Their stillness looked rented from some colder profession. She kept her voice flat. “You see a man in a dark hood come through here.” The old man’s gaze shifted once, to her left. “Depends who’s asking.” “The Met.” He gave a tiny cough that might have been a laugh. “This place didn’t know the Met from a hole in the ground.” “Then let me fix that.” He leaned a little closer, his breath carrying tobacco and mint. “Name’s not what matters down here. What matters is whether you’ve got a bone token and whether you’re meant to be here.” She could hear the distant scrape of the suspect moving through the market, too quick to see, too direct for someone lost. He knew where he was going. That made her stomach tighten. “Move,” she said. The old man looked at her pistol again. “You go in armed, you’ll upset people.” “They can be upset on their own time.” His mouth twitched once more, then he stepped aside. Quinn stepped onto the market floor. The noise hit her first. Not loud, but layered. Murmured bargaining. Glass clinking. Fabric rustling. The metallic tap of a jewelled fingernail on a jar lid. Somewhere further in, someone coughed, and the sound echoed down the ribs of the old station. The place had no proper ceiling. Dark girders crossed overhead, and water bled through in steady lines from the city above, falling into buckets and plastic tubs. She moved past a stall stacked with sealed vials. Labels in curling ink hung from the necks: salt from grave soil, ash of rowan, tincture of blackthorn, and names she didn’t recognise. Her eyes cut left and right, hunting the hooded shape, but every face here wore a wall. A woman with a shaved head and gold hoops watched Quinn from behind a curtain of hanging charms. “Lost?” the woman asked. “Looking.” “That’s worse.” Quinn ignored her and kept walking. She spotted a flash of the suspect’s satchel near a stall draped in black velvet. He had stopped there, bent close to the vendor, one hand on the counter. Quinn edged nearer through a knot of bodies. The market crowd parted around her in uneasy little shifts, as if they sensed the badge under her coat even if they couldn’t see it. The suspect turned his head. He wore a surgical mask now, pulled tight below the eyes, but she caught his gaze: dark, sharp, and alarmed. “Police,” he hissed, and clamped a hand over the satchel. The vendor behind the black velvet looked up slowly. A woman in a heavy wool coat, chin high, hands folded over a stack of small brass boxes. She took in Quinn, the pistol, the wet clothes, and gave a thin smile with no warmth in it. “Not exactly welcome attire,” she said. “You seen him?” The suspect stepped back from the counter, and Quinn saw what he had bought or traded for. A small object wrapped in oilcloth, no bigger than a thumb. It gleamed once beneath the lantern light before he vanished it into his coat. Her pulse kicked. The vendor’s eyes narrowed. “You’re not taking anything from my stall.” Quinn kept her gun low but ready. “What did he buy?” “Nothing for your jurisdiction.” The suspect bolted. He shoved through a line of bodies, knocking a tray of pale stones to the floor. They scattered across the platform like teeth. Someone shouted. Quinn drove after him, shoulders hard, breath catching in her chest. The crowd narrowed, thickened, then split when they saw her weapon. A man grabbed her elbow from behind. She wrenched free and struck back with the butt of her pistol, catching his wrist. He let go with a curse. She slipped into the opening and saw the suspect at the far side of the platform, hurrying toward an archway screened by hanging tarps and strings of beads. The archway had no sign. Only two guards stood there, broad-shouldered and silent, each with a bone token hanging on a cord at the throat. One lifted a hand as the suspect approached. The suspect shoved something into his palm. Quinn closed the distance in a hard burst. “Police! Step away from him.” One guard turned. The token at his throat clicked softly against his chest. His expression didn’t change, but his eyes measured her and found no surprise at all. The suspect slipped under the tarp. Quinn stopped at the archway. Beyond it, a stairwell descended deeper than the station platform, the walls slick with condensation and old tile. A cold draft breathed up from below. Voices drifted from somewhere under the steps, low and brisk, like a trading floor or a betting ring. Her suspect was already halfway down. She could keep going. She had come this far. She had him cornered in a place no map marked and no warrant reached. But the guards blocked the entrance like a law of their own, and every instinct she had, honed on murder scenes and ambush corridors and the kind of silence that sat after bad things happened, told her this place did not belong to her, not even a little. One of the guards tipped his chin toward the stairs. “You’ll need a token.” Quinn kept her stare on the dark below. “I’m not here to shop.” “Then you’re here for a mistake.” The suspect’s footsteps disappeared into the lower levels. Her jaw tightened. Rain still dripped from the hem of her coat. The pistol felt heavier in her hand, small and useless against a place built on rules she didn’t know. She looked at the guard with the token, then at the open stairwell, then back toward the market floor where the crowd had already begun to close again, trading glances, pretending the chase had never happened. “You tell him I’m coming.” The guard’s eyes held hers. “He’ll know.” Quinn took one step toward the stairs, stopped, and listened to the underground breathe around her.
created_at"2026-03-18T10:21:23.63Z" 3/18/2026, 10:21:23 AM
model"openai/gpt-5.4-mini-20260317"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4000
moderation_latency(null)
generation_time17196
tokens_prompt1140
tokens_completion3495
native_tokens_prompt984
native_tokens_completion2871
native_tokens_completion_images0
native_tokens_reasoning132
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"
usage0.0136575
router(null)
provider_responses
0
endpoint_id"9ee065b2-3d1c-43bc-bdd7-28af3b148282"
id"resp_071c28916aa5d1780169ba7ca3ade481948f6beee4530fec52"
is_byokfalse
latency189
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-1773829283-hA8iAVVNNwsYk3ihvGo2"
upstream_id"resp_071c28916aa5d1780169ba7ca3ade481948f6beee4530fec52"
total_cost0.0136575
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
totalTags7
adverbTagCount0
adverbTags(empty)
dialogueSentences38
tagDensity0.184
leniency0.368
rawRatio0
effectiveRatio0
95.45% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount2199
totalAiIsmAdverbs2
found
0
adverb"slowly"
count1
1
adverb"softly"
count1
highlights
0"slowly"
1"softly"
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)
70.44% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount2199
totalAiIsms13
found
0
word"flicked"
count1
1
word"weight"
count1
2
word"footsteps"
count2
3
word"stomach"
count1
4
word"echoed"
count1
5
word"grave"
count1
6
word"velvet"
count2
7
word"warmth"
count1
8
word"pulse"
count1
9
word"measured"
count1
10
word"silence"
count1
highlights
0"flicked"
1"weight"
2"footsteps"
3"stomach"
4"echoed"
5"grave"
6"velvet"
7"warmth"
8"pulse"
9"measured"
10"silence"
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
narrationSentences178
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences178
filterMatches
0"see"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences209
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
totalWords2199
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
82.77% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions46
wordCount2008
uniqueNames11
maxNameDensity1.34
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Soho2
Raven2
Nest2
Harlow1
Quinn27
Greek1
Street1
Silas4
Tube1
Camden1
One4
persons
0"Raven"
1"Harlow"
2"Quinn"
3"Silas"
4"Camden"
5"One"
places
0"Soho"
1"Greek"
2"Street"
globalScore0.828
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences131
glossingSentenceCount2
matches
0"not quite a smile"
1"sounded like a drunk’s embellishment"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.455
wordCount2199
matches
0"Not loud, but layered"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences209
matches
0"reports that came"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs112
mean19.63
std21.36
cv1.088
sampleLengths
064
113
225
311
451
51
636
76
855
956
1012
1157
1225
1340
1412
159
163
176
1819
1912
204
217
223
2338
2411
252
267
2754
283
299
302
3162
3244
3321
341
359
3646
377
386
396
4040
4114
4269
43111
448
457
465
475
4833
492
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences178
matches
0"been stripped"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs326
matches
0"was going"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences209
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount2015
adjectiveStacks0
stackExamples(empty)
adverbCount69
adverbRatio0.03424317617866005
lyAdverbCount5
lyAdverbRatio0.0024813895781637717
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences209
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences209
mean10.52
std7.92
cv0.753
sampleLengths
026
138
213
325
411
527
624
71
84
92
102
1128
126
134
1416
1512
1623
175
1810
191
201
217
2218
2314
2412
258
2616
2712
2821
294
3021
3116
3214
3310
3412
351
368
373
386
3919
4012
414
427
433
4422
4516
4611
472
487
498
48.96% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.31100478468899523
totalSentences209
uniqueOpeners65
61.35% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences163
matches
0"Then she saw where he’d"
1"Somewhere further in, someone coughed,"
2"Only two guards stood there,"
ratio0.018
89.94% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount53
totalSentences163
matches
0"she muttered, and drove after"
1"He sprinted past a closed"
2"He glanced back once."
3"He flung himself into Greek"
4"He darted past the glowing"
5"She frowned as she ran."
6"She had never liked the"
7"He crossed the floor, one"
8"She knew enough by now"
9"She kept moving."
10"His mouth twitched, not quite"
11"She drew her pistol halfway"
12"He shot down a set"
13"Her boots rang on old"
14"She kept her pistol up,"
15"Her quarry’s footsteps slapped away"
16"He rounded another bend."
17"He glanced back and threw"
18"She coughed once, got one"
19"She had seen hidden markets"
ratio0.325
18.28% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount144
totalSentences163
matches
0"Detective Harlow Quinn came up"
1"A figure in a dark"
2"Quinn caught a flash of"
3"she muttered, and drove after"
4"He sprinted past a closed"
5"Quinn pushed through the same"
6"He glanced back once."
7"He flung himself into Greek"
8"Quinn lengthened her stride."
9"A cab shot through the"
10"He darted past the glowing"
11"She frowned as she ran."
12"That bar sat on the"
13"Men with clean shoes and"
14"Quinn had stood at its"
15"She had never liked the"
16"The suspect hit the entrance,"
17"Quinn was on the threshold"
18"The bar glowed low and"
19"A couple of late drinkers"
ratio0.883
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences163
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences81
technicalSentenceCount2
matches
0"People moved between them in rain-dark coats, masks, wrapped scarves, and jewellery that flashed with a hard, cold shine."
1"But the guards blocked the entrance like a law of their own, and every instinct she had, honed on murder scenes and ambush corridors and the kind of silence tha…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount0
matches(empty)
71.05% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount3
fancyTags
0"she muttered (mutter)"
1"she breathed (breathe)"
2"he hissed (hiss)"
dialogueSentences38
tagDensity0.184
leniency0.368
rawRatio0.429
effectiveRatio0.158
87.9416%