Run: 2026-03-18-01KM08MZ2CEAFDXH2VGSJZG7GV

Run Details

Duration:
13.1s
Cost:
$0.011272
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 glazed the street in black glass and turned every headlight into a smear. Detective Harlow Quinn hit the pavement at a run, coat flaring behind her, one hand clamped around the torch while the other kept her service pistol low and tight against her hip. Water kicked up from the soles of her shoes and snapped against her shins. London blurred around her in wet stone, bus exhaust, and the sour tang of old drains. The man in front of her glanced back over his shoulder and almost ate the curb. “Stop,” Quinn barked. He didn’t. He swung left between a shuttered vape shop and a kebab place with its sign half dead, shoulders hunched against the rain. Dark jacket. Hood up. Average height. Fast enough to have earned the first few streets, stupid enough to keep looking back. Quinn had clocked him outside The Raven’s Nest ten minutes ago, standing under that green neon sign with the rest of the Friday drunks and a face that had gone tight the moment she stepped out. He’d seen her badge. That had been enough. “Police,” she called, and the word cracked off the brick. He shoved through a crowd spilling from a taxi rank, shoulder-checking a woman in heels who swore at him in a sharp burst of Spanish. Quinn cut around the back of a delivery van, slipped on the wet road, caught herself with a palm on the side panel, and kept moving. The city narrowed into tunnels of light between buildings. Rain hammered the tops of bins. Sirens wailed somewhere far off, swallowed by traffic and weather. The suspect took a hard turn under an awning, then another, as if he knew the lanes by muscle memory. Quinn came through after him and saw the alley open ahead into a service yard lined with overflowing skips and stacked milk crates. No exit. He should have been trapped. Instead, he vanished. Quinn slowed, eyes scanning the slick walls, the fire escape, the fence with its bent metal teeth. Her torch beam slid across brick, then over a narrow steel door tucked behind a dangling curtain of ivy and old posters. The door stood ajar by a hand’s width. Fresh scrape marks scored the frame. Quinn pushed it wider with the muzzle of her pistol. Warm air breathed out from below. Not sewer stink. Not damp concrete. Something else. Wax. Smoke. Spice. A low thrum that she felt more than heard, like a bassline under the soles of her feet. She frowned at the stairwell dropping away into dark. “Bit theatrical,” she muttered, and clipped the torch between her teeth long enough to free her left hand. The worn leather watch on that wrist ticked against her skin as she checked the time. 11:43. Still within reason. Still a normal night in a city that lied for a living. She took the stairs. The steps ran steep and narrow, metal grated with age, each one holding a film of water that shone under the torch. Her boots rang in the enclosed shaft. The sound travelled down and came back altered, muffled, as if the place below had swallowed the echo and chewed it over. Voices drifted up. Not one or two. Many. A churn of talk in English and languages she couldn’t place. Laughter. A quick argument over price. Glass clinked. Somewhere below, a bell or chain or maybe a blade struck stone with a bright, thin note. The stairwell ended at a corridor with raw concrete walls painted in symbols that looked half graffiti and half warning. Red thread was tied around a pipe. A fox skull hung from a nail above a rusted fire door. Quinn paused just long enough to let her eyes adjust. The corridor opened into a station platform. Not an operating one. Not anything fit for the Tube. The tiled walls had cracked and darkened with damp. Old advertising frames lined the arches, their posters peeled into ragged skins. The rail tracks had gone, replaced by planks and mats and makeshift stalls built from pallets, metal cages, tarpaulin, and doors torn from somewhere upstairs in the city. Light hung from chains in clusters: bare bulbs, guttering candles, lanterns filled with blue gel, jars that glowed green at the edges. The whole place shimmered with reflected water from the ceiling, which dripped in slow, steady taps into buckets and tin pans. The market spread through the abandoned station like a fever dream wearing a stolen coat. Quinn held still at the top of the last stair and let the scene settle around her. A woman with silver rings on every finger weighed amber beads in one hand and watched a buyer with a smile that showed no warmth. A man in a tailored coat with mud on his hem handled a small cage full of pale moths that beat their wings without sound. Three teenagers in hoodies stood under a sign made from bone and brass, arguing over something sealed in a jar that pulsed once, like it had a heartbeat. And ahead, weaving through the crowd, the suspect in the dark jacket pushed on. Quinn spotted the back of his hood, then lost it as two shoppers stepped between them. She moved off the platform edge and into the crush. “Out of the way.” Her voice had enough steel that people glanced aside. A few did more than glance. One woman with a shaved head and a cloak lined in copper coins pulled her child close and turned her body to block his view. Another man, thin as wire, gave Quinn a look that settled on her badge and lingered there. Quinn didn’t spare him a word. She kept her gaze on the jacket ahead. The suspect ducked beneath a low hanging banner stitched from black satin and bone charms. Quinn followed, brushing past a stall where jars of dried herbs sat beside vials of something silver that moved when the seller didn’t touch them. “Careful,” the seller murmured, fingers resting on a ledger. “Some things here had teeth before they were bottled.” Quinn’s mouth tightened. “Lucky for them, I’m in a bad mood.” The seller’s grin flashed and vanished. Quinn kept moving. The market pressed in tighter. The old station had split into lanes of commerce and shadow, each lined with goods that made her skin itch just from looking: glass eyes in trays of velvet, brass keys tagged with names she didn’t recognise, books chained shut with iron wire, packets of powders in colours that had no business existing in nature. More than once she caught sight of a face behind a hood or veil and felt the sudden, irrational sense that the person had been waiting for her. She hated that sensation. She hated this place more. A shout rose behind her. Quinn turned just enough to see two figures step from a side arch, both broad-shouldered, both wearing dark coats marked with stitched silver thread. Security, maybe. Or muscle. One lifted a hand and pointed at her badge. “Not police territory,” he snapped. “Last I checked, this was London.” His mouth curled. “Then check again.” The suspect shot through a narrow gap between stalls before Quinn could answer. She swore under her breath and surged forward. A hand caught at her sleeve. Quinn whirled, pistol coming up in one clean motion. The hand belonged to a man with olive skin, short curly dark hair, and a face set hard with concern. A Saint Christopher medallion flashed against his chest as he stepped back with both palms open. “Don’t,” he said, eyes flicking to the gun and then past her toward the crowd. “If you fire in here, everyone will know.” Tomás Herrera. Quinn knew him. Everybody with enough secrets in Soho knew him by sight, if not by name. Former paramedic. Off-book medic. Too useful to ignore, too compromised to trust. A scar ran along his left forearm where someone had once tried to split him open with a knife. He wore the kind of expression that belonged to men who had seen too much blood and learned to stay standing anyway. “Move,” Quinn said. He glanced at the disappearing hood. “Whoever that was, he came in scared.” “He stole something.” Tomás’ eyes sharpened. “From where?” “From outside a bar.” Quinn lowered the pistol a fraction, not because she trusted him, because the crowd had begun to watch. “The Raven’s Nest.” That got a reaction. A few heads turned. One woman with an undercut and a red shawl muttered into a handheld radio or charm or both. Tomás caught Quinn’s sleeve again, this time with two fingers only. “If he’s heading deeper, he’s got a reason.” “So do I.” “Quinn—” She cut him off with a look. “If you know anything, speak.” His jaw worked once. Rainwater dripped from the end of her hair onto the floor between them. The suspect’s footsteps had already vanished into the market’s centre, swallowed by noise and bodies. Tomás leaned closer, voice low. “The market’s moving tonight.” Quinn kept her face blank. “I saw the calendar.” “No. Moving. People are shifting stock, pulling stalls, clearing passageways. When that happens, some doors open that don’t stay open long.” Quinn looked down the lane where the hooded man had gone. “And he ran that way anyway.” “Either he was desperate, or he knew somebody would let him through.” One of the silver-threaded security men had started walking toward them with the slow patience of a bouncer who knew he owned the floor. Quinn took in the set of his shoulders, the shape of the baton at his belt, the way the crowd bent around him. Tomás noticed too. “Listen,” he said, quick now. “If you follow him alone, you’ll end up with more trouble than an arrest report can hold.” Quinn gave him a flat look. “Since when did you start giving advice for free?” “Since you walked into a place full of people who sell curses like aspirin.” The security man stopped a few paces away and stared at Quinn’s badge. “You’ve got thirty seconds to leave,” he said. “Or you leave with company.” Quinn let the silence stretch. Her torch beam slid over the man’s hands, the ring on his thumb, the notch in his ear where a blade had once cut close. “Where’s the exit?” she asked. He smiled without humour. “That depends where you entered.” Tomás gave a quiet, frustrated breath. “Quinn.” She looked from the security man to the lanes beyond, where the suspect’s trail had already splintered. The market hummed around them, alive with deal-making, quiet fear, and whatever else lived below the city when the rain came down on top. She could step back up the stairs, call it in, bring uniforms, shut the station down on paper and wait for daylight. Or she could go after the man who’d just disappeared into a place built to hide things from people like her. The security man shifted his weight. Tomás’ hand hovered near her sleeve but didn’t touch. Behind them, somewhere deeper in the market, a bell gave one sharp ring and the crowd began to move as if answering it. Quinn tightened her grip on the pistol and took one step forward.
created_at"2026-03-18T10:42:49.053Z" 3/18/2026, 10:42:49 AM
model"openai/gpt-5.4-mini-20260317"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency413
moderation_latency(null)
generation_time12831
tokens_prompt1140
tokens_completion2869
native_tokens_prompt984
native_tokens_completion2341
native_tokens_completion_images0
native_tokens_reasoning0
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"
usage0.0112725
router(null)
provider_responses
0
endpoint_id"9ee065b2-3d1c-43bc-bdd7-28af3b148282"
id"resp_011436f2872f257e0169ba81a91c8c8195b906c61102b7df36"
is_byokfalse
latency199
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-1773830569-wdFXQLck9AspwfCcXml8"
upstream_id"resp_011436f2872f257e0169ba81a91c8c8195b906c61102b7df36"
total_cost0.0112725
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)
dialogueSentences36
tagDensity0.306
leniency0.611
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1885
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)
68.17% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1885
totalAiIsms12
found
0
word"scanning"
count1
1
word"echo"
count1
2
word"churn"
count1
3
word"shimmered"
count1
4
word"warmth"
count1
5
word"pulsed"
count1
6
word"satin"
count1
7
word"velvet"
count1
8
word"charm"
count1
9
word"footsteps"
count1
10
word"silence"
count1
11
word"weight"
count1
highlights
0"scanning"
1"echo"
2"churn"
3"shimmered"
4"warmth"
5"pulsed"
6"satin"
7"velvet"
8"charm"
9"footsteps"
10"silence"
11"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
emotionTells0
narrationSentences149
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences149
filterMatches
0"watch"
hedgeMatches
0"tried to"
1"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences176
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen55
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1885
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
16.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions49
wordCount1681
uniqueNames14
maxNameDensity1.73
worstName"Quinn"
maxWindowNameDensity4.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn29
Raven1
Nest1
Friday1
Spanish1
English1
Tube1
Saint1
Christopher1
Tomás5
Herrera1
Soho1
One4
persons
0"Harlow"
1"Quinn"
2"Saint"
3"Christopher"
4"Tomás"
5"Herrera"
places
0"Raven"
1"English"
2"Soho"
3"One"
globalScore0.637
windowScore0.167
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences97
glossingSentenceCount1
matches
0"as if answering it"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1885
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences176
matches
0"hated that sensation"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs82
mean22.99
std24.02
cv1.045
sampleLengths
076
116
23
32
479
54
64
710
851
968
102
115
123
1353
1410
1535
169
1718
1832
194
2051
213
2241
2349
247
25102
2615
2717
2878
2914
3026
314
3257
3314
3440
3518
363
378
389
3988
404
415
4242
435
446
456
4621
476
4845
4923
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences149
matches
0"been trapped"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs278
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences176
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1422
adjectiveStacks1
stackExamples
0"short curly dark hair,"
adverbCount37
adverbRatio0.026019690576652602
lyAdverbCount1
lyAdverbRatio0.0007032348804500703
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences176
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences176
mean10.71
std8.6
cv0.803
sampleLengths
014
132
214
316
416
53
62
722
82
92
102
1115
1236
134
144
1510
1625
1726
189
196
2010
2120
2223
232
245
253
2617
2722
288
296
3010
316
323
333
342
351
361
371
3818
399
4018
4116
421
433
4412
454
4622
477
4822
493
60.95% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats10
diversityRatio0.4
totalSentences175
uniqueOpeners70
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences126
matches
0"Instead, he vanished."
1"Somewhere below, a bell or"
2"More than once she caught"
3"Too useful to ignore, too"
ratio0.032
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount27
totalSentences126
matches
0"He swung left between a"
1"He’d seen her badge."
2"she called, and the word"
3"He shoved through a crowd"
4"He should have been trapped."
5"Her torch beam slid across"
6"She frowned at the stairwell"
7"she muttered, and clipped the"
8"She took the stairs."
9"Her boots rang in the"
10"She moved off the platform"
11"Her voice had enough steel"
12"She kept her gaze on"
13"She hated that sensation."
14"She hated this place more."
15"His mouth curled."
16"She swore under her breath"
17"he said, eyes flicking to"
18"He wore the kind of"
19"He glanced at the disappearing"
ratio0.214
71.11% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount98
totalSentences126
matches
0"Rain glazed the street in"
1"Detective Harlow Quinn hit the"
2"Water kicked up from the"
3"London blurred around her in"
4"The man in front of"
5"He swung left between a"
6"Quinn had clocked him outside"
7"He’d seen her badge."
8"That had been enough."
9"she called, and the word"
10"He shoved through a crowd"
11"Quinn cut around the back"
12"The city narrowed into tunnels"
13"The suspect took a hard"
14"Quinn came through after him"
15"He should have been trapped."
16"Quinn slowed, eyes scanning the"
17"Her torch beam slid across"
18"The door stood ajar by"
19"Quinn pushed it wider with"
ratio0.778
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences126
matches(empty)
ratio0
34.63% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences66
technicalSentenceCount10
matches
0"Quinn had clocked him outside The Raven’s Nest ten minutes ago, standing under that green neon sign with the rest of the Friday drunks and a face that had gone …"
1"He shoved through a crowd spilling from a taxi rank, shoulder-checking a woman in heels who swore at him in a sharp burst of Spanish."
2"The suspect took a hard turn under an awning, then another, as if he knew the lanes by muscle memory."
3"The sound travelled down and came back altered, muffled, as if the place below had swallowed the echo and chewed it over."
4"The stairwell ended at a corridor with raw concrete walls painted in symbols that looked half graffiti and half warning."
5"Light hung from chains in clusters: bare bulbs, guttering candles, lanterns filled with blue gel, jars that glowed green at the edges."
6"The whole place shimmered with reflected water from the ceiling, which dripped in slow, steady taps into buckets and tin pans."
7"The old station had split into lanes of commerce and shadow, each lined with goods that made her skin itch just from looking: glass eyes in trays of velvet, bra…"
8"One of the silver-threaded security men had started walking toward them with the slow patience of a bouncer who knew he owned the floor."
9"Behind them, somewhere deeper in the market, a bell gave one sharp ring and the crowd began to move as if answering it."
34.09% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags11
uselessAdditionCount2
matches
0"she called, and the word cracked off the brick"
1"the seller murmured, fingers resting on a ledger"
38.89% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags10
fancyCount4
fancyTags
0"Quinn barked (bark)"
1"she muttered (mutter)"
2"the seller murmured (murmur)"
3"he snapped (snap)"
dialogueSentences36
tagDensity0.278
leniency0.556
rawRatio0.4
effectiveRatio0.222
83.9504%