Run: 2026-04-25-01KQ2GGFH92B669KPWJP3VSJZT

Run Details

Duration:
20.9s
Cost:
$0.000449
Provider:
DeepSeek

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 in sheets, turning the neon signs of Soho into bleeding watercolors on the wet asphalt. Detective Harlow Quinn pressed her back against the damp brick wall of an alleyway, her breath coming in controlled bursts as she watched the fire escape three buildings down. The figure had bolted when she'd flashed her badge outside The Raven's Nest. Fast. Too fast for a normal civilian running from a routine questioning. She'd caught a glimpse of his face as he'd shoved past a group of tourists—pale, sharp-featured, eyes that caught the streetlight like a cat's. He wore a dark coat that billowed behind him as he ran, and he moved with an unnatural fluidity that made something cold settle in Quinn's gut. He'd disappeared down this alley. She was sure of it. Quinn pushed off from the wall and moved forward, her boots splashing through puddles that reflected the green glow of the Nest's sign. She kept her right hand close to her service weapon, fingers brushing the worn grip. Eighteen years on the force, and she'd learned to trust the prickling sensation at the back of her neck. It was screaming now. The alley opened into a small courtyard cluttered with overturned bins and discarded pallets. Dead end. She scanned the space, her jaw tightening. No fire doors. No windows low enough to reach without a ladder. The rain drummed against the corrugated roofing of a storage shed, and somewhere in the distance, a siren wailed—the eternal lullaby of London at night. Then she saw it. A manhole cover near the far wall, slightly askew. Fresh scrapes marred the rusted iron, and a small trail of water trickled into the darkness below. She crouched beside it, shining her torch into the hole. The light caught the remnants of a wet footprint on the first rung of the ladder. "Shit," she muttered. Her radio crackled. "Quinn, report. Dispatch says you went dark." She thumbed the button. "Suspect fled into a drainage system beneath Greek Street. Requesting backup and grid coordinates." "Copy. ETA fifteen minutes." Fifteen minutes. The trail would be cold by then. Quinn holstered her flashlight and swung her legs over the edge of the manhole. The iron rungs were slick with moisture and grime, and she descended slowly, testing each step before committing her weight. The smell hit her first—wet stone, stagnant water, and something else. Something metallic and sweet, like old copper pennies. Her boots hit concrete. She straightened and swept her torch across the tunnel. Victorian brickwork arched overhead, black with age and moisture. A shallow stream of water ran along the curved floor, carrying debris and the occasional discarded syringe. Movement. Forty feet ahead, a shadow peeled away from the wall and sprinted into the darkness. "Stop! Metropolitan Police!" The figure didn't stop. Of course he didn't. Quinn gave chase, her footsteps echoing in the narrow space. The tunnel forked, and she caught a glimpse of her quarry disappearing into the left branch. She followed without hesitation, her lungs beginning to burn from the damp air. The tunnel opened into a wider chamber—an old station platform, abandoned and decaying. Benches lay overturned, their wooden slats rotting. Mosaics on the walls depicted scenes of Victorian London, their tiles chipped and faded. A train tunnel gaped ahead, black and infinite. The suspect stood in the middle of the platform, his coat dripping onto the cracked tiles. He wasn't running anymore. He was waiting. "You shouldn't have followed me, Detective." His voice carried an accent she couldn't place. Not British. Something Eastern European, maybe. Quinn drew her weapon. "Hands where I can see them. Slowly." He smiled. It was a thin, predatory thing that didn't reach his eyes. "You think that will stop me?" "I think it'll put a hole in you. That's enough for tonight." He laughed, and the sound bounced off the tiles, multiplied into something unnatural. "You don't understand what you've stumbled into. This isn't your world." "I'm making it my world. Now get on your knees." He tilted his head, studying her with those reflective eyes. "You lost someone. Three years ago. A partner. You still dream about him." Quinn's finger tightened on the trigger. "Don't." "I know things, Detective. Things that would break your mind if you saw them. That's what happened to Morris. He saw, and it killed him." The air grew thick. Heavy. The shadows in the corners of the platform seemed to pulse, reaching toward the circle of light cast by her torch. Behind the suspect, the tunnel exhaled a breath—warm and dry, carrying the scent of incense and ozone. A flicker of light caught Quinn's eye, deep within the darkness. Not a train. Something else. Lanterns. Movement. Voices, hushed and urgent. The Veil Market. She'd heard whispers about it during her investigation into the clique. A black market for things that shouldn't exist. A place where the rules of her world didn't apply. The suspect took a step backward, toward the tunnel entrance. "I can walk away," he said. "You can go back to your rain and your sirens and your tidy little justice. Or you can follow me and see what happens to people who look too long." Another step. Another. Quinn's gun remained trained on his chest. Her radio crackled again—backup was five minutes out. She could hold him here. She could wait for uniforms and detectives and paperwork and process. Or she could end this tonight. The suspect's smile widened, as if he could read the indecision playing across her face. "Tick-tock, Detective." She holstered her weapon. His eyes widened, just slightly, before he turned and sprinted into the tunnel. Quinn followed, her torch casting wild shadows across the walls as she plunged into the unknown. The air changed—warm, dry, carrying the murmur of a crowd. The tunnel curved, and she emerged into a cavernous space lit by hanging oil lamps and strings of copper bulbs. Stalls lined the walls, draped in fabrics of every color. Strange symbols were painted on canvas awnings. The smell of cooking meat mixed with incense and something chemical. Creatures moved through the crowd—people, mostly, but some with features that didn't belong. A woman with scales glistening on her neck. A man whose eyes glowed faintly blue in the dim light. The suspect was already gone, swallowed by the throng. Quinn stood at the edge of the market, rain dripping from her coat onto the stone floor. Heads turned. Eyes watched her—curious, hostile, hungry. She had crossed a line. There was no going back now. Her hand rested on her weapon as she took her first step into the Veil Market.
created_at"2026-04-25T14:25:45.006Z" 4/25/2026, 2:25:45 PM
model"deepseek/deepseek-v4-flash-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency765
moderation_latency(null)
generation_time20722
tokens_prompt1140
tokens_completion1749
native_tokens_prompt1003
native_tokens_completion1460
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached896
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"
usage0.000448868
router(null)
provider_responses
0
endpoint_id"722e0746-2034-4d6e-a08f-e6271849ee9e"
id"ecc19ff3-9cbe-4812-8617-f32158909f4b"
is_byokfalse
latency292
model_permaslug"deepseek/deepseek-v4-flash-20260423"
provider_name"DeepSeek"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777127145-LplMR2mYhIn2N9O8tySW"
session_id(null)
api_type"completions"
id"gen-1777127145-tzFhKUJBx2d3YdZ06HLv"
upstream_id"ecc19ff3-9cbe-4812-8617-f32158909f4b"
total_cost0.000448868
cache_discount0.000100352
upstream_inference_cost0
provider_name"DeepSeek"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences17
tagDensity0.176
leniency0.353
rawRatio0
effectiveRatio0
82.16% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1121
totalAiIsmAdverbs4
found
0
adverb"slightly"
count2
1
adverb"slowly"
count2
highlights
0"slightly"
1"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)
68.78% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1121
totalAiIsms7
found
0
word"scanned"
count1
1
word"weight"
count1
2
word"footsteps"
count1
3
word"echoing"
count1
4
word"pulse"
count1
5
word"flicker"
count1
6
word"glistening"
count1
highlights
0"scanned"
1"weight"
2"footsteps"
3"echoing"
4"pulse"
5"flicker"
6"glistening"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes widened"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences102
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences102
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences116
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen30
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1112
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
92.47% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions27
wordCount956
uniqueNames12
maxNameDensity1.15
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn11
Raven1
Nest2
London2
Victorian2
British1
Eastern1
European1
Veil2
Market2
persons
0"Harlow"
1"Quinn"
2"Nest"
3"Market"
places
0"Soho"
1"Raven"
2"London"
3"Veil"
globalScore0.925
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences65
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1112
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences116
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs50
mean22.24
std15.98
cv0.718
sampleLengths
048
125
251
310
461
516
644
74
826
926
103
1110
1218
134
149
1553
1639
1716
183
198
2039
2142
2223
2320
2411
2519
2612
2724
2810
2923
307
3125
3226
3339
343
3529
3610
3736
383
3931
406
4117
424
4313
4446
4560
469
4724
4811
4916
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences102
matches
0"were painted"
73.42% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs158
matches
0"was screaming"
1"wasn't running"
2"was waiting"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount9
semicolonCount0
flaggedSentences9
totalSentences116
ratio0.078
matches
0"She'd caught a glimpse of his face as he'd shoved past a group of tourists—pale, sharp-featured, eyes that caught the streetlight like a cat's."
1"The rain drummed against the corrugated roofing of a storage shed, and somewhere in the distance, a siren wailed—the eternal lullaby of London at night."
2"The smell hit her first—wet stone, stagnant water, and something else."
3"The tunnel opened into a wider chamber—an old station platform, abandoned and decaying."
4"Behind the suspect, the tunnel exhaled a breath—warm and dry, carrying the scent of incense and ozone."
5"Her radio crackled again—backup was five minutes out."
6"The air changed—warm, dry, carrying the murmur of a crowd."
7"Creatures moved through the crowd—people, mostly, but some with features that didn't belong."
8"Eyes watched her—curious, hostile, hungry."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount966
adjectiveStacks0
stackExamples(empty)
adverbCount20
adverbRatio0.020703933747412008
lyAdverbCount6
lyAdverbRatio0.006211180124223602
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences116
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences116
mean9.59
std6.64
cv0.693
sampleLengths
019
129
213
31
411
524
627
75
85
923
1015
1119
124
1314
142
157
163
179
1825
194
209
2117
2210
2316
243
253
267
274
2814
294
302
317
3214
3320
3411
358
364
379
389
3917
401
4115
423
434
444
4510
4616
4713
4813
497
58.33% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.39655172413793105
totalSentences116
uniqueOpeners46
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences87
matches
0"Too fast for a normal"
1"Then she saw it."
2"Of course he didn't."
ratio0.034
95.86% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount27
totalSentences87
matches
0"She'd caught a glimpse of"
1"He wore a dark coat"
2"He'd disappeared down this alley."
3"She was sure of it."
4"She kept her right hand"
5"It was screaming now."
6"She scanned the space, her"
7"She crouched beside it, shining"
8"Her radio crackled."
9"She thumbed the button."
10"Her boots hit concrete."
11"She straightened and swept her"
12"She followed without hesitation, her"
13"He wasn't running anymore."
14"He was waiting."
15"His voice carried an accent"
16"It was a thin, predatory"
17"He laughed, and the sound"
18"He tilted his head, studying"
19"She'd heard whispers about it"
ratio0.31
40.46% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount73
totalSentences87
matches
0"The rain came down in"
1"Detective Harlow Quinn pressed her"
2"The figure had bolted when"
3"She'd caught a glimpse of"
4"He wore a dark coat"
5"He'd disappeared down this alley."
6"She was sure of it."
7"Quinn pushed off from the"
8"She kept her right hand"
9"It was screaming now."
10"The alley opened into a"
11"She scanned the space, her"
12"The rain drummed against the"
13"A manhole cover near the"
14"She crouched beside it, shining"
15"The light caught the remnants"
16"Her radio crackled."
17"She thumbed the button."
18"The trail would be cold"
19"Quinn holstered her flashlight and"
ratio0.839
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences87
matches(empty)
ratio0
80.75% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences46
technicalSentenceCount4
matches
0"She'd caught a glimpse of his face as he'd shoved past a group of tourists—pale, sharp-featured, eyes that caught the streetlight like a cat's."
1"He wore a dark coat that billowed behind him as he ran, and he moved with an unnatural fluidity that made something cold settle in Quinn's gut."
2"Quinn pushed off from the wall and moved forward, her boots splashing through puddles that reflected the green glow of the Nest's sign."
3"The suspect's smile widened, as if he could read the indecision playing across her face."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount0
matches(empty)
91.18% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount1
fancyTags
0"she muttered (mutter)"
dialogueSentences17
tagDensity0.118
leniency0.235
rawRatio0.5
effectiveRatio0.118
86.1133%