Run: 2026-03-18-01KM08ZHHGHVD9SM5V78B1MCC5

Run Details

Duration:
15.7s
Cost:
$0.013865
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 the windscreen of Detective Harlow Quinn’s unmarked Peugeot as she cut through Soho with one hand on the wheel and the other wrapped around a paper cup gone cold. The radio hissed with static and half a burglary call she no longer listened to. Ahead, a man in a black hooded coat darted out of a side street, shoulders hunched, one hand clamped around a narrow pouch that thumped against his hip. He slipped between a taxi and a delivery van, boots skidding through a sheet of water. Quinn saw the silver flash in his fist. Bone-white. Small. Shaped like a knucklebone. “Of course,” she muttered, and slammed the car into the curb. She was out before the wipers finished their sweep. Cold rain hit her face hard enough to sting. Her coat already clung to her back. She caught sight of the hooded man as he cut across Greek Street and vanished into a knot of pedestrians outside a kebab shop. “Police.” Nobody moved fast enough for her liking. She barreled through the crowd, shoulder-checking past a man with a folded umbrella and a woman shielding her hair with a takeaway bag. The suspect shot a glance over his shoulder. Quinn caught one look at his face under the streetlight—young, narrow-eyed, with a bruise blooming under one cheekbone—and he bolted. He headed south. Not random. Not panicked. He knew the streets. Quinn lengthened her stride and kept him in sight as he splashed past shuttered bars and narrow shopfronts glowing amber behind wet glass. A cyclist cursed when he clipped the kerb. The suspect ducked around him and vanished under a flickering sign. Quinn followed, boots slapping the pavement, breath sharp in her throat. The man knocked over a sandwich board outside a closed theatre and never looked back. “Stop!” Quinn’s voice cut through the rain and bounced off brick. He answered by shoving through a pair of tourists and sprinting harder. A bus hissed at the curb. Its doors folded open. The suspect slipped past them before the driver could react. Quinn hit the side panel with her palm and kept going around the rear, teeth clenched. “Joy,” she said, catching sight of him on the far pavement. “You’re not getting away that easy.” He turned down a lane so narrow the buildings leaned over it like old conspirators. Quinn had to slow to avoid a puddle hiding a broken bottle. The lane opened onto a wider road slick with headlights and red brake lights. The suspect cut straight across traffic, forcing a black cab to jam on its brakes. A horn blared. Quinn ran after him and felt the rain soak through her sleeves. The man led her past a row of closed restaurants, then into a service alley that smelled of rotting bins and hot grease. He vaulted a low barrier, landed badly, and almost went down. Quinn saw it. She closed the gap. “Done?” she called, lungs tight. He twisted and flashed the pouch at her. “Not even close.” His voice was young, London flat, and ragged with fear. He crammed the pouch into his jacket and sprinted out the far end of the alley. Quinn came out after him into a narrow street lit by a green neon sign buzzing above a dark frontage. The Raven’s Nest. She knew the place. Old maps on the walls, black-and-white photographs, a back room hidden behind a bookshelf. The sort of bar where people swallowed their lies with whiskey and kept their weapons close. The suspect shoved through the front door. A bell above it gave one thin chime. Quinn slowed just enough to glance through the glass. Inside, the bar sat half in shadow. A man behind the counter looked up, saw her, and looked away with immediate interest in not being involved. The suspect cut past the entrance and moved toward the rear of the room. Quinn pushed inside. Heat hit her first. Stale beer, wet wool, fried onions from a kitchen that had long since stopped caring. The room held a low murmur and the scrape of a pool cue. Every face turned a fraction, then turned back. “Evening, Detective.” Quinn followed the voice to the bar. Silas stood behind it, sleeves rolled to the forearms, a rag over one shoulder. His expression held the kind of calm that warned people not to mistake hospitality for weakness. “Not tonight, Silas.” His mouth twitched. “Rain must’ve driven you in.” “I’m not here for a drink.” “That would’ve been the kinder lie.” She shifted her gaze past him. The suspect had already slipped through the back room entrance. “Who’s he with?” Silas set the glass he’d been polishing on the counter and folded his arms. “You’re wet, cross, and loud. That means you already know enough to be dangerous.” “Move.” “Can’t.” Quinn’s jaw tightened. “I’ve got a man who ran in here with stolen property.” “Have you, now.” He nodded once toward the back. “Ask yourself why he ran here.” Quinn stared at him. “You expect me to answer questions when a suspect just ghosted through your bar?” Silas leaned closer, his voice dropping. “If you follow him, you’ll leave the ordinary world behind.” She gave him a hard look. “That supposed to scare me?” “No. It was supposed to save you time.” The suspect’s footsteps thudded somewhere beyond the back room. Quinn heard a chair scrape. Another voice muttered low and sharp, then fell away. She moved toward the rear. Silas caught her wrist. His grip was firm, not forceful, but enough to stop her. “Detective.” Quinn looked down at his hand on her sleeve, then back at his face. “Take your hand off me.” He did. She pushed through the back room. It was dimmer here, the air dustier. A long bookshelf occupied one wall, packed with paperbacks and old records and bottles with labels worn to ghosts. A narrow corridor yawned behind it, hidden unless you knew where to look. At the far end, the suspect had already disappeared. Quinn stepped in, rainwater dripping from her coat onto the bare boards. Her hand found the torch on her belt. She flicked it on and swept the beam across the corridor. Brick. Pipes. A sagging bulb. The smell of damp stone and old cigarette smoke. The corridor ended at a rusted door. Beyond it, voices rolled up from below. Not bar voices. Not London-night voices. Too many. Too low. Too careful. Quinn eased the door open and looked down a steep stairwell that descended into black. A man stood three steps below the landing, blocking her path. Short dark curls clung to his forehead. Olive skin gleamed under the weak light. A Saint Christopher medallion rested against his chest, and a scar ran the length of his left forearm where his sleeve had ridden up. Tomás Herrera. He looked as if he’d expected her. “Quinn.” She tightened her grip on the torch. “Herrera.” He glanced over her shoulder toward the bar, then back at her face. “You picked a bad night.” “I could say the same. Where’s the boy?” Tomás lifted one shoulder. “If you mean the runner, he went down already.” “Down where.” His mouth flattened. “You know where.” “I know there’s a suspect. I know he came in here with something I want. I don’t know why a market beneath Camden needs a bone token.” Tomás’s eyes sharpened. “Then you know more than you should.” Quinn took one step down the stair. “You sound worried.” “I sounded tired.” “Same thing with you lot.” He let out a short breath through his nose and moved aside just enough to let her see the stairwell below. The darkness opened into a cavernous platform lit by a patchwork of lanterns, chemical lamps, and strings of bare bulbs. Wet brick columns rose from a floor crowded with tables, crates, hanging tarps, and people who didn’t bother to pretend they were ordinary. A woman in a red coat examined a jar of something that pulsed faintly blue. A man with rings on every finger argued over a leather satchel while two others watched the passageways behind him. Somewhere deeper, a bell rang once, then twice. The market breathed like a thing with lungs. Quinn kept her face still. “Camden.” Tomás gave a dry nod. “It moves when the moon’s full. Tonight it’s here.” “Convenient.” “Not for me.” She stared past him at the station below. “That runner went into this?” “Yes.” “Then I’m going after him.” Tomás stepped down one stair and blocked the rest with his body. “You can’t just walk in and grab him.” “I’ve done harder.” “That’s what worries me.” Quinn’s gaze flicked to the crowd below. A knot of eyes had already settled on the stairwell. Not open hostility. Worse. Curiosity. Calculation. She lowered her voice. “What’s the entry?” Tomás’s jaw worked. “Bone token.” “I saw that.” “Then you know the price.” “The price is me asking nicely and getting nowhere.” “It’s not money.” “People usually sell things when money talks.” “Not here.” The runner’s voice cut through the market below, sharp with panic. “Forget it. I’m not going back empty.” Quinn turned her head. At the bottom of the stairwell, the hooded man stood with his back to the platform wall, clutching the pouch. A woman in a long dark coat faced him, one hand extended, palm up. Her nails gleamed like lacquered glass. “Give it over,” the woman said. “You’ve already brought heat.” “I said I’m not going back empty.” Quinn recognised fear in his posture and desperation in the way his elbow stayed tucked to his side, guarding the pouch. Tomás watched the same scene and went still. Quinn looked at him. “You know him.” “No.” “That wasn’t convincing.” He rubbed at his mouth with the back of his hand. “He came for stitches two nights ago. Took a knife to the ribs. Said he’d crossed the wrong crowd.” “And you patched him.” “I patched what I could.” Quinn stared him down. “You’re deep in this.” “I was already knee-deep before you came charging through the rain.” “Useful image.” Below, the dark-coated woman lifted her chin. “Last chance.” The runner backed up and hit the wall. He fumbled the pouch open and spilled the contents into his hand. Quinn saw the bone token up close now. Not just bone. Carved, worn smooth, drilled through the centre. Ancient-looking. Wrong in a way she couldn’t file under folklore and forget. Tomás whispered, “Don’t let him hand it over.” Quinn looked at him. “Why?” His eyes stayed on the token. “Because once it changes hands, everybody down there will know who brought it.” The runner swallowed hard. “I only need a name.” The woman in the dark coat smiled without warmth. “You needed one before you came.” Quinn stepped onto the stair and put a hand to the rail. Cold metal bit her palm. She looked down into the market, then back at Tomás, who stood between her and the stairs like a door left half latched. “Tell me what I’m walking into.” Tomás held her gaze for a beat. Rainwater dripped from Quinn’s hem onto the step between them. “People who trade in things that don’t want to be named.” Quinn’s mouth tightened. “That’s not an answer.” “It was the clean version.” The runner yanked the token back to his chest. “Back off.” The woman’s expression changed. Not anger. Recognition. “Who gave you that?” He shook his head too fast. “Doesn’t matter.” “It does if you want to leave.” Quinn shifted her weight, eyes flicking across the market’s exits, the movement of bodies, the shape of the platforms. No uniforms. No backup. No neat rules. Just wet stone, bad light, and a suspect with something in his pocket that had dragged her through half of Soho. She took one step down, then another. Tomás caught her sleeve again. “Harlow.” She looked at his hand, then at his face. “If I go down there, I’m not coming in polite.” “I know.” “And if this goes sideways—” “It already had.” Quinn gave a single short nod and freed her arm. Below, the crowd had begun to close. Not all at once. Quietly. A shift of shoulders. A crate dragged half a foot. A woman turning to face the stairwell. The runner backed away from the dark-coated woman and nearly collided with a man loading glass vials into a wooden case. Quinn set her jaw, then put her foot on the next step down.
created_at"2026-03-18T10:48:35.646Z" 3/18/2026, 10:48:35 AM
model"openai/gpt-5.4-mini-20260317"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3755
moderation_latency(null)
generation_time15321
tokens_prompt1140
tokens_completion3557
native_tokens_prompt984
native_tokens_completion2917
native_tokens_completion_images0
native_tokens_reasoning188
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"
usage0.0138645
router(null)
provider_responses
0
endpoint_id"9ee065b2-3d1c-43bc-bdd7-28af3b148282"
id"resp_024e56bb9f548e8f0169ba8303b4ac8194b2b9b17fa620d74e"
is_byokfalse
latency167
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-1773830915-PI34XZEjh9Yjwjcwacd3"
upstream_id"resp_024e56bb9f548e8f0169ba8303b4ac8194b2b9b17fa620d74e"
total_cost0.0138645
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
totalTags5
adverbTagCount0
adverbTags(empty)
dialogueSentences87
tagDensity0.057
leniency0.115
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount2093
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)
85.67% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount2093
totalAiIsms6
found
0
word"footsteps"
count1
1
word"flicked"
count2
2
word"pulsed"
count1
3
word"warmth"
count1
4
word"weight"
count1
highlights
0"footsteps"
1"flicked"
2"pulsed"
3"warmth"
4"weight"
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
emotionTells2
narrationSentences186
matches
0"d with fear"
1"p with panic"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences186
filterMatches
0"see"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences267
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen31
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords2091
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions11
unquotedAttributions0
matches(empty)
33.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions65
wordCount1656
uniqueNames16
maxNameDensity2.11
worstName"Quinn"
maxWindowNameDensity4
worstWindowName"Quinn"
discoveredNames
Detective1
Harlow1
Quinn35
Peugeot1
Soho2
Greek1
Street1
London2
Raven1
Nest1
London-night1
Saint1
Christopher1
Herrera1
Tomás11
Silas4
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Saint"
4"Christopher"
5"Herrera"
6"Tomás"
7"Silas"
places
0"Soho"
1"Greek"
2"Street"
3"London"
4"London-night"
globalScore0.443
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences122
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.478
wordCount2091
matches
0"not forceful, but enough to stop her"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences267
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs163
mean12.83
std14.2
cv1.107
sampleLengths
031
115
244
38
46
511
649
71
87
951
103
118
1253
1315
1411
1512
1636
1717
1856
193
2053
215
228
233
2426
2520
263
2734
2815
299
3040
313
3240
332
347
3530
363
373
385
396
406
4116
423
4314
4414
451
461
4714
483
496
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences186
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs287
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences1
totalSentences267
ratio0.004
matches
0"Quinn caught one look at his face under the streetlight—young, narrow-eyed, with a bruise blooming under one cheekbone—and he bolted."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1667
adjectiveStacks0
stackExamples(empty)
adverbCount56
adverbRatio0.033593281343731254
lyAdverbCount4
lyAdverbRatio0.0023995200959808036
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences267
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences267
mean7.83
std5.94
cv0.758
sampleLengths
031
115
228
316
48
51
61
74
811
99
109
117
1224
131
147
1523
168
1720
183
192
202
214
2223
238
2411
2511
2615
2711
2812
296
304
3110
3216
3311
346
3515
3612
3714
3815
393
4012
4123
4211
433
444
455
468
473
4810
4916
46.57% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.31086142322097376
totalSentences267
uniqueOpeners83
40.40% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences165
matches
0"Somewhere deeper, a bell rang"
1"Just wet stone, bad light,"
ratio0.012
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount45
totalSentences165
matches
0"He slipped between a taxi"
1"she muttered, and slammed the"
2"She was out before the"
3"Her coat already clung to"
4"She caught sight of the"
5"She barreled through the crowd,"
6"He headed south."
7"He knew the streets."
8"He answered by shoving through"
9"Its doors folded open."
10"she said, catching sight of"
11"He turned down a lane"
12"He vaulted a low barrier,"
13"She closed the gap."
14"she called, lungs tight"
15"He twisted and flashed the"
16"His voice was young, London"
17"He crammed the pouch into"
18"She knew the place."
19"His expression held the kind"
ratio0.273
35.76% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount140
totalSentences165
matches
0"The radio hissed with static"
1"He slipped between a taxi"
2"Quinn saw the silver flash"
3"she muttered, and slammed the"
4"She was out before the"
5"Her coat already clung to"
6"She caught sight of the"
7"Nobody moved fast enough for"
8"She barreled through the crowd,"
9"The suspect shot a glance"
10"Quinn caught one look at"
11"He headed south."
12"He knew the streets."
13"Quinn lengthened her stride and"
14"A cyclist cursed when he"
15"The suspect ducked around him"
16"Quinn followed, boots slapping the"
17"The man knocked over a"
18"Quinn’s voice cut through the"
19"He answered by shoving through"
ratio0.848
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences165
matches(empty)
ratio0
99.57% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences66
technicalSentenceCount4
matches
0"Ahead, a man in a black hooded coat darted out of a side street, shoulders hunched, one hand clamped around a narrow pouch that thumped against his hip."
1"The man led her past a row of closed restaurants, then into a service alley that smelled of rotting bins and hot grease."
2"Quinn eased the door open and looked down a steep stairwell that descended into black."
3"Just wet stone, bad light, and a suspect with something in his pocket that had dragged her through half of Soho."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount2
fancyTags
0"she muttered (mutter)"
1"Tomás whispered (whisper)"
dialogueSentences87
tagDensity0.057
leniency0.115
rawRatio0.4
effectiveRatio0.046
88.0432%