Run: 2026-09-03-01M1KBPJCS9KKSJ4HVDGBMMBAS

Run Details

Duration:
4m 4s
Cost:
$0.001039
Provider:
CoreWeave

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
The rain came down not in sheets but in a steady, spiteful drone that soaked everything it touched. Quinn tracked the suspect by the rhythm of his footfalls, a splash-stop-splash cadence that kept pace with her own hard breathing. Ten metres ahead, his dark coat blurred against the black brick of a Soho service alley, and she pushed her legs harder, feeling the worn leather of her watch strap bite into her wrist as she pumped her arms. He didn't look back. He hadn't looked back once whole way from the corner of Berwick Street, and that bothered her. A runner who never checks his tail was either arrogant or exactly where he wanted to be. She didn't know which was worse. . He cut left, headed toward Old Compton Street, taking the gap between a shuttered kebab shop and a dilapidated record store. Quinn followed, her boots sliding on the wet pavement, catching herself ona metal railing. The suspect vaulted a bin, landing clean, and she copied the movement, feeling the jolt shoot up her spine. Military training kept her form tight even when her lungs burned. She'd chased worse men. Men with knives, men with guns, men with nothing to lose. This one ran like a man with somewhere to be. He swung right into an alley that smelled of stale beer and diesel. At the far end, a single sodium lamp cast a jaundiced pool upon the concrete. The suspect slowed, just for a step, then veered towarda service door set into a blank wall. Quinn's instincts screamed. That door was not a door a civilian used. It had no handle, no signage, just a rusted steel plate with a coin-sized depression at waist height. . She watched himjam his hand into his coat pocket and pull something white and small. A bone token? Bone token. The phrase surfaced from a dozen half-read case files, from the ghost of DS Morris scrawling notes in margins. She'd never seen one herself, only read the testimony of informants who claimed such tokens opened doors beneath the city. Doors to places that didn't exist on any map. . He pressed the token against the depression. A low grind of machinery answered, and the door swung inward, spilling a slice of amber light across the alley's wet concrete. He slipped through, and the door began to close behind him, slow and hydraulic, like the jaw of a sleeping animal. . Quinn reached the door two seconds later. She slapped a palm against the cold steel, feeling a faint vibration through the metal. The light behind it flickered, then steadied. She could seea short stairwell descending into a gloom that smelled of dust, damp copper, and something else. Incense? Rot? Old spices? Unfamiliar. Hazardous. She pulled her collar up against a draft that curled out of the gap, carrying voices - not words, but the texture of murmur, a low tide of conversation echoing off tile walls. . The door crept closed. She had maybe ten seconds to decide. Push through, into a place she didn't know, with no backup, no weapon beyond the nine-millimetre strapped to her ankle, and a badge that meant nothing to people who traded in bone tokens.An alternative: step back, call it in, wait for uniformed units, watch this door become a dead lead. The suspect vanished into a hole in the earth, and she'd be left standing in the rain with wet socks and a growing sense of failure. . Her hand went to her left wrist, thumb brushing the worn leather of her watch. DS Morris had worn the same model. He'd bought them together, two matching straps, a joke about synchronized shifts. He'd died here, somewhere beneath the streets, or so the official report said. "Unexplained circumstances." No witnesses. No forensic trail. Just a missing partner and a sealed file that still made her stomach turn when she cracked it open at 2 a.m. in her flat. . She never found out what happened. She never found out who closed that file. But she knew one thing: whatever taken Morris had a door like this. A door that didn't want to be opened. And she'd been chasing that answer for three years, through every dead end, every bribed informant, every cold tip. Now a man ran through one of those doors, and she had to choose whether to follow him into a warren that could swallow her whole. . The door was six inches from closing. She looked down at her own palm, empty. No token. No an invitation. Just the callus ona her trigger finger and the memory of Morris saying, "You don't get to come back from certain places, Harlow. You only get to decide how far you're willing to go before you turn back." She decided. She didn't know why. Maybe it was the rain. Maybe it was the way his coat had flickered into that amber light, confident, unhurried. Maybe it was just that she was so damned tired of standing outside doors. She wedged her boot into the gap. The hydraulic mechanism groaned in protest, then gave way, and the door swung open just enough for her to slip through. Her shoulder scraped the cold steel channel as she pushed inside, and the door sighed shut behind her, sealing off the night, the rain, the the part of her that still knew how to walk awayhar. The stairwell dropped steeply, the steps worn smooth in the centre, slick with something she refused to identify. The walls were old Tube tile - cracked cream and green, the pattern familiar from a hundred forgotten stations. But the air was wrong. Too warm. Too still. It carried a faint sweetness, like bruised fruit left out in the sun, along with the low biological hum of many people breathing in close quarters. Her boots made too much noise ona the old concrete, each footfall a wet slap that echoed ahead of her like a warning. She slowed, dropping into a crouch, hand moving to her ankle, fingers closing around the cold grip of the nine-millimetre. She did not draw it, not yet. But knowing it was there steadied her pulse. . The stairs bottomed out into a chamber that opened into a wide, low-ceilinged space. The amber light came from strings of old bulbs hung from cables, casting long pools and deep black gaps between them. Stalls lined the walls - trestle tables topped with canvas sacks, glass jars, old books bound in something that wasn't leather. Figures moved between them, shapeless in long coats and scarves, their faces kept down, their voices a murmur of languages she couldn't place. No one looked at her. No one stopped her. But she felt the weight of a dozen sidelong glances, quick and flat, like stones skipping across water, before they looked away. . The suspect was thirty feet ahead, threading a path between two stalls, ducking behind a stack of wooden crates. Quinn followed, keeping low, using the shadows cast by the swinging bulbs. She passed a stall selling small glass phials filled with liquid that shimmered like oil ona water. The vendor, a woman with grey skin and eyes like polished jet, met her gaze for a beat too long. Quinn's hand tightened on the gun handle, but the woman only smiled, thin and closed-lipped, then turned back to her wares. . A voice rose to her left. "You're not supposed to be here." She turned. A man stood a few feet away, short, stocky, wearing a heavy wool coat that reached his ankles. His face was half scarred, the skin twisted fro the jaw to the browlike melted wax. His eyes were pale, almost colourless, and he held a bone token between his fingers, twirling it slowly. "No token," he said. "No welcome. That's the rule." Quinn straightened, letting her coat fall open just enough to show the badge clipped to her belt. "I'm not here for a market." Her voice came out flat, steady, therained-not-after-a-two-mile-run. "I'm here for the man who just came through. Tall, dark coat, no patience for vendors. Where did he go?" The scarred man's gaze flicked to her badge, then back to her face. Something shifted behind his pale eyes - not fear, but calculation."He went down the service corridor. Behind the curtain of copper wire. But you'll not catch him." He stepped closer, lowering his voice. "And you'll not leave neither, if you keep waving that tin around. This place doesn't answer to the Metropolitan Police." Quinn held her ground. The air here was thick, close, like the pressure before a thunderstorm. She could feel it in her chest, the way the whole space breathed around her, wallsmade not of brick but of secrets. The suspect was slipping further away with every second she spent talking. But she needed to know where she was stepping. She gestured with her chin toward the corridor. "What's down there?" The scarred man's mouth twisted, almost a grin. "Debt collectors. Dealers in things that shouldn't be bought. And a man who might pay a lot for a police detective walking in alone, with no backup and no token." He let that sink. "Your choice, detective. But I'd turn back. That way's not for the living." Quinn looked past him. The corridor was narrow, dark, lit only by a single red bulb at its far end, casting a crimson glow that made the walls look slick with fresh blood. She could hear footsteps - boot heels ona metal grating, moving deeper, quicker, fading. . She had followed this far. She had crossed through a door that should have stayed closed, into a market that didn't exist, with a badge that held no weight. The scarred man watched her, waiting, twirling his token liker a rosary. Behind them, the market hummed on, indifferent, the stalls doing business in shadows and whispers. Quinn took a breath. She pulled her hand from her ankle, leaving the gun holstered. Then she stepped toward the red glow, into the corridor, into the dark.
created_at"2026-09-03T10:05:45.26Z" 9/3/2026, 10:05:45 AM
model"deepseek/deepseek-v4-flash-20260731"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency370
moderation_latency(null)
generation_time243900
tokens_prompt1104
tokens_completion3726
native_tokens_prompt1082
native_tokens_completion3207
native_tokens_completion_images(null)
native_tokens_reasoning1313
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"stop"
service_tier(null)
usage0.00103862
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788429945-jBxRBltgOyXae2dP1reO"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788429945-urVsHxRnLDtdt3gZoQ89"
upstream_id"chatcmpl-7a003762-30e4-47fe-bcd6-b22896838679"
provider_responses
0
endpoint_id"cbfecbd7-9a18-45ea-bcd1-fabaa868db5c"
id"chatcmpl-7a003762-30e4-47fe-bcd6-b22896838679"
is_byokfalse
latency370
model_permaslug"deepseek/deepseek-v4-flash-20260731"
provider_name"CoreWeave"
status200
total_cost0.00103862
cache_discount(null)
upstream_inference_cost0
provider_name"CoreWeave"
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
totalTags5
adverbTagCount0
adverbTags(empty)
dialogueSentences12
tagDensity0.417
leniency0.833
rawRatio0
effectiveRatio0
97.01% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1670
totalAiIsmAdverbs1
found
0
adverb"slowly"
count1
highlights
0"slowly"
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)
49.10% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1670
totalAiIsms17
found
0
word"flickered"
count2
1
word"gloom"
count1
2
word"echoing"
count1
3
word"sense of"
count1
4
word"synchronized"
count1
5
word"stomach"
count1
6
word"familiar"
count1
7
word"footfall"
count1
8
word"echoed"
count1
9
word"pulse"
count1
10
word"weight"
count2
11
word"shimmered"
count1
12
word"flicked"
count1
13
word"could feel"
count1
14
word"footsteps"
count1
highlights
0"flickered"
1"gloom"
2"echoing"
3"sense of"
4"synchronized"
5"stomach"
6"familiar"
7"footfall"
8"echoed"
9"pulse"
10"weight"
11"shimmered"
12"flicked"
13"could feel"
14"footsteps"
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
narrationSentences120
matches(empty)
83.33% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount4
hedgeCount1
narrationSentences120
filterMatches
0"watch"
1"look"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences125
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen51
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1687
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions22
wordCount1536
uniqueNames8
maxNameDensity0.65
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Soho1
Berwick1
Street2
Old2
Compton1
Morris4
Tube1
Quinn10
persons
0"Morris"
1"Quinn"
places
0"Soho"
1"Berwick"
2"Street"
3"Old"
4"Compton"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences89
glossingSentenceCount0
matches(empty)
0.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches4
per1kWords2.371
wordCount1687
matches
0"not in sheets but in a steady, spiteful drone"
1"not words, but the texture of murmur, a low tide of conversation echoing of"
2"not fear, but calculation"
3"not of brick but of secrets"
86.67% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount3
totalSentences125
matches
0"closed that file"
1"chasing that answer"
2"let that sink"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs36
mean46.86
std37.85
cv0.808
sampleLengths
078
144
21
390
475
51
668
71
850
91
1053
1133
121
1387
141
1579
161
1780
181
1958
20104
21130
221
23110
241
2589
261
2775
2850
2966
3070
3155
3247
331
3456
3528
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences120
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs270
matches
0"was slipping"
1"was stepping"
28.57% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences5
totalSentences125
ratio0.04
matches
0"She pulled her collar up against a draft that curled out of the gap, carrying voices - not words, but the texture of murmur, a low tide of conversation echoing off tile walls."
1"The walls were old Tube tile - cracked cream and green, the pattern familiar from a hundred forgotten stations."
2"Stalls lined the walls - trestle tables topped with canvas sacks, glass jars, old books bound in something that wasn't leather."
3"Something shifted behind his pale eyes - not fear, but calculation.\"He went down the service corridor. Behind the curtain of copper wire. But you'll not catch him.\" He stepped closer, lowering his voice."
4"She could hear footsteps - boot heels ona metal grating, moving deeper, quicker, fading."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1394
adjectiveStacks1
stackExamples
0"wide, low-ceilinged space."
adverbCount47
adverbRatio0.03371592539454806
lyAdverbCount5
lyAdverbRatio0.003586800573888092
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences125
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences125
mean13.4
std9.25
cv0.69
sampleLengths
018
121
239
34
417
517
66
721
814
919
1011
114
1211
1310
1413
1515
1617
173
189
1918
2015
213
222
2319
2420
259
267
2722
2821
297
3015
317
3218
331
341
352
361
371
3833
394
407
4150
4226
4315
447
4512
4613
474
483
4922
42.40% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats17
diversityRatio0.336
totalSentences125
uniqueOpeners42
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount6
totalSentences107
matches
0"Just a missing partner and"
1"Just the callus ona her"
2"Maybe it was the rain."
3"Maybe it was the way"
4"Maybe it was just that"
5"Then she stepped toward the"
ratio0.056
74.21% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount39
totalSentences107
matches
0"He didn't look back."
1"He hadn't looked back once"
2"She didn't know which was"
3"He cut left, headed toward"
4"She'd chased worse men."
5"He swung right into an"
6"It had no handle, no"
7"She watched himjam his hand"
8"She'd never seen one herself,"
9"He pressed the token against"
10"He slipped through, and the"
11"She slapped a palm against"
12"She could seea short stairwell"
13"She pulled her collar up"
14"She had maybe ten seconds"
15"Her hand went to her"
16"He'd bought them together, two"
17"He'd died here, somewhere beneath"
18"She never found out what"
19"She never found out who"
ratio0.364
62.80% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount85
totalSentences107
matches
0"The rain came down not"
1"Quinn tracked the suspect by"
2"He didn't look back."
3"He hadn't looked back once"
4"A runner who never checks"
5"She didn't know which was"
6"He cut left, headed toward"
7"Quinn followed, her boots sliding"
8"The suspect vaulted a bin,"
9"Military training kept her form"
10"She'd chased worse men."
11"Men with knives, men with"
12"This one ran like a"
13"He swung right into an"
14"The suspect slowed, just for"
15"Quinn's instincts screamed."
16"That door was not a"
17"It had no handle, no"
18"She watched himjam his hand"
19"A bone token?"
ratio0.794
46.73% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences107
matches
0"Now a man ran through"
ratio0.009
34.63% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences66
technicalSentenceCount10
matches
0"Quinn tracked the suspect by the rhythm of his footfalls, a splash-stop-splash cadence that kept pace with her own hard breathing."
1"Quinn followed, her boots sliding on the wet pavement, catching herself ona metal railing."
2"She could seea short stairwell descending into a gloom that smelled of dust, damp copper, and something else."
3"She pulled her collar up against a draft that curled out of the gap, carrying voices - not words, but the texture of murmur, a low tide of conversation echoing …"
4"Push through, into a place she didn't know, with no backup, no weapon beyond the nine-millimetre strapped to her ankle, and a badge that meant nothing to people…"
5"Her boots made too much noise ona the old concrete, each footfall a wet slap that echoed ahead of her like a warning."
6"The stairs bottomed out into a chamber that opened into a wide, low-ceilinged space."
7"Stalls lined the walls - trestle tables topped with canvas sacks, glass jars, old books bound in something that wasn't leather."
8"She passed a stall selling small glass phials filled with liquid that shimmered like oil ona water."
9"The corridor was narrow, dark, lit only by a single red bulb at its far end, casting a crimson glow that made the walls look slick with fresh blood."
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
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences12
tagDensity0.083
leniency0.167
rawRatio0
effectiveRatio0
83.3150%