Run: 2026-09-23-01M36NJ5KCE2627CJN3NM3PWK0

Run Details

Duration:
32.4s
Cost:
$0.001318
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 turned the pavement into a black mirror. Detective Harlow Quinn caught her reflection in it as she ran: cropped salt-and-pepper hair plastered close to her skull, jaw set, coat open and dragging water. Her left wrist flashed beneath the cuff. The worn leather watch read 11:42. The suspect glanced back at the crossing and nearly went down. “Stop!” Quinn shouted. He didn’t. He cut between a night bus and a row of parked scooters, shouldering past a man beneath a red umbrella. The umbrella spun away in the gutter. Quinn followed, boots striking water hard enough to sting her shins. The man wore a grey hooded jacket and carried a canvas satchel tight against his ribs. He had a narrow build, quick feet, and a limp that surfaced whenever he changed direction. Quinn had seen him once before, in a photograph pulled from a dead woman’s phone: standing outside a shuttered shop with a known fence, his face turned away from the lens. She had spent six weeks finding him. She wasn’t letting a puddle slow her down. He darted across the road, against the signal. A taxi leaned on its horn. Quinn lifted a hand, cut behind it, and kept her eyes on the hood. “Police! Hands where I can see them!” The suspect slipped through a gap between two buildings. Quinn followed into a service alley that smelled of wet brick and old cooking oil. A metal gate blocked the far end. He reached it, hauled himself up, and swung over. Quinn planted a foot on the lower crossbar and climbed after him. Her palm skidded on the slick metal. She caught the top rail, swung a leg across, and dropped hard onto the other side. Pain struck her ankle, sharp and clean. The suspect was already moving. He ran towards a narrow street strung with closed shopfronts, their signs dimmed against the rain. At the corner, he turned beneath a green neon raven. The sign buzzed above a dark doorway. Quinn knew the place. The Raven’s Nest. Soho bar. She’d asked after it twice and got two blank faces and one man who suddenly needed to be somewhere else. The suspect shoved through the entrance. Quinn drew her warrant card, tucked it into her left hand, and followed. Warm air carried the smell of spirits, damp wool, and dust. The bar’s windows showed only rain-smeared streetlights. Inside, old maps covered the walls between black-and-white photographs of faces no one had labelled. A handful of people watched her enter. None seemed surprised. The man in the grey jacket cut between two tables and shoved through a door behind the bar. A broad-shouldered barman stepped into Quinn’s path. “Private area.” “Police.” She held the warrant card up. “Move.” His eyes dropped to the card, then to the rain running from her sleeves. “You’re late.” “For what?” He shifted, revealing the door. Quinn passed him without an answer. Behind it lay a narrow corridor, bare except for a set of framed photographs. The suspect’s wet footprints darkened the boards ahead. At the end, a bookshelf stood across the passage. Its spines held an uneven row of atlases, ledgers, and old hardbacks. One book sat crooked. Quinn pressed it in. The shelf gave way. Beyond it, a cramped room held a scarred table, three mismatched chairs, and a single lamp with a green glass shade. The suspect had gone through a second door. A man in his twenties stood beside the table, olive skin, short dark curls, a Saint Christopher medallion glinting at his throat. He rolled his left sleeve down over a pale scar that ran along his forearm. “Where does that door lead?” Quinn asked. “Out.” “Where?” His warm brown eyes moved to her warrant card. “Somewhere you weren’t invited.” Quinn stepped towards the door. He placed one hand on its frame. “If you follow him, leave the gun here.” She looked at his hand. “Take it off.” “People go through there armed and don’t come back with the same number of holes.” “That’s not an answer.” “It’s the one you’ve got.” Behind him, the door shuddered. A footfall rang beyond it, followed by another, receding. Quinn pushed past. The man didn’t grab her, but his shoulder brushed hers, solid as a stop sign. “You know the suspect?” she asked. “No.” “Then you won’t mind telling me what’s through there.” “An abandoned station.” The door opened on a steep flight of concrete steps. A cold draft climbed from below, carrying the smell of wet stone and something metallic. Quinn heard a distant murmur under the city’s noise, too many voices gathered in a space with no right to hold them. She glanced back at the man. “You’re going to let a wanted suspect disappear?” “I don’t know who you’re chasing.” “Grey jacket. Satchel. Limp.” “Then he’s got a head start.” Quinn put a hand on the rail. The first step descended into darkness. She had spent eighteen years reading rooms, doors, and people who stood between her and a fact. This one offered no badge to recognise and no uniform to call in. Her radio gave a burst of static when she thumbed it. “Control, Quinn. I’m entering an underground structure beneath—” The signal cracked apart. No response. She looked at the stairs again. “You said abandoned.” “I did.” “Then why’s there a market down there?” The man’s expression tightened at the word. Quinn waited. “It moves,” he said. “Every full moon. Tonight it’s under Camden. The entrance requires a bone token.” She looked past him at the stairwell. “And the suspect has one?” “He had a satchel.” “That’s not an answer either.” A thump sounded below. Then a hurried scrape, like a crate dragged over concrete. Quinn’s hand settled on her holster. The man’s gaze dropped to it. “You bring that down and the first stallkeeper who sees it will decide you’re here to rob them.” “I’m here to arrest a suspect.” “They won’t care.” “Will you?” His jaw shifted. He took a small disc from the table and held it out. Bone, smooth and yellowed, with a black mark carved across its face. Quinn didn’t reach for it. “What does it open?” “The Market.” “And what does it cost?” “Nothing to enter.” “People don’t hand out keys for nothing.” “They don’t hand those out.” He closed his fingers around the token. “You get one pass. You keep your hands to yourself. You don’t buy anything, ask for anything, or take anything.” “Good thing I’m not shopping.” “You’ll want someone to tell you where you are.” “I know where I am.” “No, Detective. You know where the stairs are.” For a moment, the only sound came from rain tapping the bar’s front windows and the radio hissing at Quinn’s shoulder. She thought of the grey jacket vanishing below, the canvas satchel tucked close, the limp that made him slow at the turns. Whatever he carried had pulled him into a place strangers guarded with bone and silence. She had no warrant for an abandoned station, no backup, and no clear idea what waited beneath it. A sensible officer would secure the entrance and call for support. The suspect had already gone. Quinn took the token. The man released it at once. “Don’t flash your badge down there.” “I’ll decide what I show.” “Then decide fast.” She holstered her weapon but left the snap open. The token sat cold in her palm. At the threshold, she looked back at him. “What’s your name?” “Tomás Herrera.” “Do you work here?” “I patch people up.” “Licensed?” A flicker crossed his face. “Not anymore.” Quinn put the token against a shallow groove in the doorframe. It fit with a click. The concrete steps sank beneath the floor, narrow and steep. She took the first, then the next. The entrance shut behind her with a soft, final scrape. At the bottom, a Tube platform stretched beneath a vaulted ceiling. Old signs hung at crooked angles. Their lettering named no station Quinn recognised. Lamps burned in iron cages along the walls, throwing amber pools across rails furred with rust. The market filled the tracks. Stalls crowded the platform edge, built from crates, folding tables, and pieces of scavenged shopfront. A woman in a blue veil displayed stoppered bottles that glowed like fireflies. A man with grey scales along his neck weighed silver rings on a pocket scale. Someone had arranged teeth in neat rows on a velvet cloth. The crowd pressed through the narrow aisles, coats brushing, voices rising and falling beneath the steady tick of water dripping from the ceiling. Quinn stepped onto the platform. No one looked at her badge. Several people looked at her hands. She kept them visible and empty. Across the tracks, the suspect’s grey hood slipped between two stalls. “Police,” she called, not loud enough to carry far. A vendor lifted a finger to her lips. Beside her, a boy with bright red eyes stopped chewing and watched Quinn’s boots. The suspect turned his head. For one instant, his face showed in the lantern light—thin, pale, rainwater tracking his cheek. Then he shoved through the crowd. Quinn reached the tracks and stopped at the edge. The rails lay below, flooded in places. An electric-blue shimmer moved along the water without touching the metal. A stallholder blocked the nearest crossing, arms folded over a leather apron. “No running.” “He’s under arrest.” “Not on my platform.” “He’s carrying stolen property.” “Then buy it back.” Quinn looked past him. The suspect had reached a set of stairs at the far end, where an old station sign hung face-down from the ceiling. The stallholder followed her gaze. “You’ll need a token for the far gate.” Quinn raised the bone disc. “This one?” “That opens this entrance.” “Then move.” He didn’t. Quinn stepped down onto the tracks. Cold water soaked through her boot. The blue shimmer bent towards her, thin tendrils threading over the rail. “Don’t touch the water,” the stallholder called. Quinn froze. The suspect’s jacket vanished up the stairs. A sound like a match striking came from the tunnel. The blue lines flared. Quinn looked at the stallholder. “What is it?” “Your chance to decide.” She could turn back. She could return to street level, call in a team, and explain that the suspect had escaped into an underground market that moved with the moon. She could leave the bone token on the platform and keep her boots dry. The shimmer crawled closer, bright against the black water. Above it, people watched from behind their stalls. No one reached for a weapon. No one offered to help. Quinn lifted her foot over the nearest rail. “Detective,” the stallholder warned. “That line doesn’t belong to you.” Quinn set her boot down on the far side. The water rippled around the sole. The blue light snapped out, and the rail gave a low metallic groan beneath her. She crossed between the rails, climbed onto the opposite platform, and ran for the stairs. A bell clanged somewhere behind her. Voices rose in protest. Quinn didn’t look back. At the first step, she heard the suspect’s limp strike the landing above—one hard beat, one dragging scrape. Her hand closed around the bone token. Then she climbed.
created_at"2026-09-23T08:19:22.871Z" 9/23/2026, 8:19:22 AM
model"openai/gpt-6-luna-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1783
moderation_latency(null)
generation_time32379
tokens_prompt1104
tokens_completion2957
native_tokens_prompt984
native_tokens_completion2439
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)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
service_tier"default"
usage0.0013179
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790151562-igRRdy3kUhZRw2Vq8ifu"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790151562-IuQsNZjSL6OvNmdk3iFR"
upstream_id"resp_08087fce84d7a99a016ab38b8b014487d1b6e3a983ab4dadad"
provider_responses
0
endpoint_id"05e94e02-b9c2-4bbb-ba55-4082ee9ad687"
id"resp_08087fce84d7a99a016ab38b8b014487d1b6e3a983ab4dadad"
is_byokfalse
latency395
model_permaslug"openai/gpt-6-luna-20260922"
provider_name"OpenAI"
status200
total_cost0.0013179
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags9
adverbTagCount0
adverbTags(empty)
dialogueSentences72
tagDensity0.125
leniency0.25
rawRatio0
effectiveRatio0
97.35% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1884
totalAiIsmAdverbs1
found
0
adverb"suddenly"
count1
highlights
0"suddenly"
100.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
81.42% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1884
totalAiIsms7
found
0
word"glinting"
count1
1
word"footfall"
count1
2
word"structure"
count1
3
word"silence"
count1
4
word"flicker"
count1
5
word"velvet"
count1
6
word"electric"
count1
highlights
0"glinting"
1"footfall"
2"structure"
3"silence"
4"flicker"
5"velvet"
6"electric"
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
emotionTells1
narrationSentences168
matches
0"seemed surprised"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences168
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences231
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen31
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1882
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions11
unquotedAttributions0
matches(empty)
36.80% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions41
wordCount1546
uniqueNames7
maxNameDensity2.26
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn35
Raven1
Nest1
Saint1
Christopher1
Tube1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Saint"
4"Christopher"
places(empty)
globalScore0.368
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences123
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1882
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences231
matches
0"explain that the"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs128
mean14.7
std15.16
cv1.031
sampleLengths
047
111
23
340
463
515
628
77
840
935
107
1138
1229
136
1413
1543
1618
177
182
198
2014
212
222
2333
2429
254
2666
277
281
291
3013
315
3215
338
3415
354
365
3714
3818
396
401
419
423
4347
4414
456
464
476
4854
498
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences168
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs266
matches
0"wasn’t letting"
1"was already moving"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences2
totalSentences231
ratio0.009
matches
0"For one instant, his face showed in the lantern light—thin, pale, rainwater tracking his cheek."
1"At the first step, she heard the suspect’s limp strike the landing above—one hard beat, one dragging scrape."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1556
adjectiveStacks0
stackExamples(empty)
adverbCount39
adverbRatio0.02506426735218509
lyAdverbCount4
lyAdverbRatio0.002570694087403599
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences231
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences231
mean8.15
std5.44
cv0.668
sampleLengths
08
126
27
36
411
53
62
720
87
911
1016
1116
1231
137
148
158
166
1714
187
199
2015
217
229
2312
247
2516
267
275
2816
2910
307
314
323
332
3420
356
3613
3711
387
3915
407
413
4218
437
442
457
461
4714
482
492
46.10% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.2857142857142857
totalSentences231
uniqueOpeners66
63.29% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences158
matches
0"Then a hurried scrape, like"
1"Then he shoved through the"
2"Then she climbed."
ratio0.019
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount40
totalSentences158
matches
0"Her left wrist flashed beneath"
1"He cut between a night"
2"He had a narrow build,"
3"She had spent six weeks"
4"She wasn’t letting a puddle"
5"He darted across the road,"
6"He reached it, hauled himself"
7"Her palm skidded on the"
8"She caught the top rail,"
9"He ran towards a narrow"
10"She’d asked after it twice"
11"She held the warrant card"
12"His eyes dropped to the"
13"He shifted, revealing the door."
14"Its spines held an uneven"
15"He rolled his left sleeve"
16"His warm brown eyes moved"
17"He placed one hand on"
18"She looked at his hand."
19"She glanced back at the"
ratio0.253
42.28% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount132
totalSentences158
matches
0"Detective Harlow Quinn caught her"
1"Her left wrist flashed beneath"
2"The worn leather watch read"
3"The suspect glanced back at"
4"He cut between a night"
5"The umbrella spun away in"
6"Quinn followed, boots striking water"
7"The man wore a grey"
8"He had a narrow build,"
9"Quinn had seen him once"
10"She had spent six weeks"
11"She wasn’t letting a puddle"
12"He darted across the road,"
13"A taxi leaned on its"
14"Quinn lifted a hand, cut"
15"The suspect slipped through a"
16"Quinn followed into a service"
17"A metal gate blocked the"
18"He reached it, hauled himself"
19"Quinn planted a foot on"
ratio0.835
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences158
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences62
technicalSentenceCount3
matches
0"She had spent eighteen years reading rooms, doors, and people who stood between her and a fact."
1"She thought of the grey jacket vanishing below, the canvas satchel tucked close, the limp that made him slow at the turns."
2"A woman in a blue veil displayed stoppered bottles that glowed like fireflies."
69.44% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount1
matches
0"she called, not loud enough to carry far"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount2
fancyTags
0"Quinn shouted (shout)"
1"the stallholder warned (warn)"
dialogueSentences72
tagDensity0.097
leniency0.194
rawRatio0.286
effectiveRatio0.056
87.8897%