Run: 2026-04-25-01KQ2DQYJ96XE57VD6DHDHQFHD

Run Details

Duration:
1m 1s
Cost:
$0.001842
Provider:
DeepSeek

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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> 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.

Model response

AI
The rain came down in sheets, turning the Soho streets into slick mirrors of neon and shadow. Detective Harlow Quinn kept her shoulders squared against the downpour, her worn leather watch catching the amber glow of a streetlamp as she raised a hand to shield her eyes. The suspect was thirty yards ahead, a smear of motion between the idling black cabs and the late-night pedestrians huddled under awnings. He’d been standing outside The Raven’s Nest, collar up, hands shoved deep in his pockets, pretending to study the green neon sign like it held the secrets of the universe. She’d clocked him from across the street. The too-still posture. The way his head never moved but his eyes tracked every face that passed. When she’d stepped off the curb, badge already in hand, he’d bolted. Now her boots hammered the wet pavement, each stride sending up a spray of gutter water. Eighteen years on the force, and the chase still lit something primal in her chest. She could feel her pulse in her temples, steady as a metronome. “Police! Stop!” The words were automatic, swallowed by the hiss of rain and the distant wail of a siren that wasn’t hers. The suspect cut left down an alley, and she followed without breaking stride. The alley was narrow, lined with overflowing bins and a rusted fire escape that dripped brown water onto her shoulder as she passed. The smell of old cooking oil and wet cardboard clogged the air. Up ahead, the suspect vaulted a chain-link fence, his boots scrabbling for purchase on the slick metal. Harlow hit the fence a heartbeat later, her fingers finding the cold links, her body remembering training that had never left her. She was over in one fluid motion, landing in a crouch on the other side. The suspect was already disappearing around a corner, but she had his rhythm now. He was fast, but he was panicked. Panic made people stupid. She rounded the corner and found herself in a small service yard, hemmed in by brick walls on three sides. A dead end. The suspect was at the far end, bent over a maintenance hatch set into the ground. He’d wrenched the cover aside, and a rectangle of deeper darkness yawned at his feet. “Don’t,” she called out, her voice cutting through the rain. “There’s nowhere to go.” He looked up at her then, and for the first time, she got a clear look at his face. Young, maybe mid-twenties. Hollow cheeks. Eyes that seemed to catch the light in a way that wasn’t quite right, a faint amber sheen like oil on water. He smiled, and it wasn’t the smile of a cornered man. It was the smile of someone who knew something she didn’t. Then he dropped into the hole. Harlow swore under her breath and crossed the yard in three long strides. She stared down into the darkness. A metal ladder descended into what looked like a maintenance tunnel, the rungs slick with rust and condensation. The sound of hurried footsteps echoed up from below, growing fainter by the second. She should call for backup. She should secure the scene and wait for a tactical team. Every procedure, every regulation she’d memorized over two decades told her to stop. But procedure hadn’t saved Morris. Procedure hadn’t explained the things she’d seen in that warehouse three years ago, the things she’d filed away in reports that no one ever read, the things that still woke her at three in the morning with her heart slamming against her ribs. She pulled out her torch and clipped it to the shoulder strap of her jacket, then swung her legs into the hole and started down. The ladder went deeper than she expected. Twenty rungs. Thirty. The air grew cooler and carried a strange mineral scent, like wet stone and something else underneath, something organic and old. When her boots finally hit solid ground, she found herself in a brick-lined tunnel that looked Victorian. The ceiling was low enough that she had to duck slightly, and water dripped somewhere in the darkness ahead, a steady, rhythmic patter. She unclipped her torch and swept the beam across the walls. Old tiles, cracked and stained. Faint chalk markings that might have been surveyor’s marks or might have been something else entirely. The footsteps had stopped. The tunnel stretched ahead, curving gently to the left. Harlow moved forward, her hand resting on the butt of her holstered sidearm. The tunnel sloped downward, and after fifty yards, the brick gave way to raw stone. The air changed again, warmer now, carrying the faint murmur of voices. Not conversations, exactly. More like the hum of a crowd heard through thick glass. The tunnel opened into a wider passage, and she stopped dead. Lights burned ahead, not electric but something softer, warmer, like hundreds of candles or oil lamps. The passage broadened into a vaulted chamber that had once been a Tube station platform, the old tilework still visible in patches beneath decades of grime and alteration. But what stopped her was what filled the platform now. Stalls. Dozens of them, stretching the length of the old station in a chaotic maze of canvas awnings and makeshift counters. Vendors hawked their wares in low voices, their faces half-hidden beneath hoods and wide-brimmed hats. The air was thick with the smell of incense and something metallic, like ozone after a lightning strike. She saw jars filled with things that glowed faintly blue, cages draped in velvet cloths from which came soft clicking sounds, tables laden with bones and feathers and vials of liquid that shimmered with colors she couldn’t name. She recognized the place from whispers in interrogation rooms, from the rambling confessions of suspects who were quickly deemed unfit for trial. The Veil Market. She’d dismissed it as urban legend, a shared delusion among the city’s fringe dwellers. But here it was, spread out before her in all its impossible reality. Harlow pressed herself against the wall at the edge of the platform, her torch now switched off. The market’s ambient light was enough to see by, and she didn’t want to announce her presence any more than necessary. Her eyes scanned the crowd, searching for the suspect’s rain-soaked jacket, his too-bright eyes. There. He was weaving through the stalls about thirty yards ahead, glancing back over his shoulder. Their eyes met across the marketplace. That same unsettling smile flickered across his face before he turned and plunged deeper into the maze of vendors. She took a step forward, then stopped. This was the line. Behind her, the tunnel led back to the surface, back to procedure and regulations and the world she understood. Ahead, the Veil Market, a place that shouldn’t exist, filled with people who weren’t quite people and goods that defied explanation. She had no backup, no intel, no idea what she was walking into. But the suspect had information. She could feel it in her bones, the same instinct that had made her one of the Met’s best detectives. He knew something about the string of impossible cases that had crossed her desk over the past six months. The body found in Shoreditch with no identifiable cause of death, its cells fossilized as if it had been dead for millennia. The witness who described an attacker with joints that bent the wrong way. The banker who vanished from a locked penthouse, leaving behind nothing but a fine gray dust on his pillow. Morris had died chasing shadows like these. She’d spent three years telling herself it was a gas leak, a structural collapse, a tragic accident. But she’d seen the look on his face before the ceiling came down. He hadn’t been surprised. He’d been vindicated. Harlow Quinn checked her weapon, felt the solid weight of it in her holster, and stepped into the Veil Market. The vendors nearest her fell silent as she passed. She could feel their eyes on her, assessing, calculating. She knew what she looked like to them—the off-the-rack suit visible beneath her raincoat, the badge clipped to her belt, the military precision of her bearing. A cop. An outsider. A threat. A figure stepped into her path. Tall, draped in layers of dark fabric that rustled like dry leaves. A woman’s face, pale and angular, with eyes that were entirely black from edge to edge. “You’re lost,” the woman said. Her voice was soft, almost kind. “I’m not,” Harlow replied, her hand still resting near her sidearm. “I’m pursuing a suspect.” The woman smiled, revealing teeth that had been filed to delicate points. “Everyone here is a suspect, Detective. That’s rather the point.” “Then you won’t mind if I keep moving.” The woman held her gaze for a long moment, then stepped aside with a small, mocking bow. “The Market welcomes all who carry the token,” she said. “But you don’t carry the token, do you? You’ll find that the Market has its own way of dealing with uninvited guests.” Harlow didn’t answer. She moved past the woman and into the heart of the market, her eyes fixed on the distant flash of a rain-soaked jacket disappearing around a corner. Behind her, she heard the woman’s soft laughter, like the rustle of dead leaves in a wind. She kept walking, deeper into the impossible, the weight of Morris’s memory pressing against her spine like a hand between her shoulder blades. Somewhere ahead, her suspect was waiting. And beyond him, answers she’d been chasing for three long years. The market closed around her like a mouth.
created_at"2026-04-25T13:37:24.044Z" 4/25/2026, 1:37:24 PM
model"deepseek/deepseek-v4-pro-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1086
moderation_latency(null)
generation_time60485
tokens_prompt914
tokens_completion2440
native_tokens_prompt827
native_tokens_completion2056
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached768
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"
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provider_responses
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latency293
model_permaslug"deepseek/deepseek-v4-pro-20260423"
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provider_name"DeepSeek"
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags4
adverbTagCount0
adverbTags(empty)
dialogueSentences10
tagDensity0.4
leniency0.8
rawRatio0
effectiveRatio0
90.65% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1605
totalAiIsmAdverbs3
found
0
adverb"slightly"
count1
1
adverb"gently"
count1
2
adverb"quickly"
count1
highlights
0"slightly"
1"gently"
2"quickly"
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)
47.04% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1605
totalAiIsms17
found
0
word"could feel"
count3
1
word"pulse"
count1
2
word"footsteps"
count2
3
word"echoed"
count1
4
word"rhythmic"
count1
5
word"electric"
count1
6
word"chaotic"
count1
7
word"velvet"
count1
8
word"shimmered"
count1
9
word"scanned"
count1
10
word"flickered"
count1
11
word"weight"
count2
12
word"calculating"
count1
highlights
0"could feel"
1"pulse"
2"footsteps"
3"echoed"
4"rhythmic"
5"electric"
6"chaotic"
7"velvet"
8"shimmered"
9"scanned"
10"flickered"
11"weight"
12"calculating"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"air was thick with"
count1
highlights
0"The air was thick with"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences118
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences118
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences123
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen43
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1604
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions26
wordCount1541
uniqueNames12
maxNameDensity0.52
worstName"Harlow"
maxWindowNameDensity1.5
worstWindowName"Harlow"
discoveredNames
Soho1
Harlow8
Quinn2
Raven1
Nest1
Morris3
Victorian1
Tube1
Veil3
Market3
Met1
Shoreditch1
persons
0"Harlow"
1"Quinn"
2"Morris"
3"Market"
4"Met"
places
0"Soho"
1"Raven"
2"Veil"
3"Shoreditch"
globalScore1
windowScore1
42.47% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences93
glossingSentenceCount4
matches
0"Eyes that seemed to catch the light in a way that wasn’t quite right, a faint amber sheen like oil on water"
1"quite right, a faint amber sheen like oil on water"
2"looked like a maintenance tunnel, the run"
3"quite people and goods that defied explanation"
4"looked like to them—the off-the-rack suit"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.623
wordCount1604
matches
0"not electric but something softer, warmer, like hundreds of candles"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences123
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs37
mean43.35
std24.13
cv0.557
sampleLengths
069
166
243
322
465
562
654
714
868
96
1051
1177
1225
1371
1445
1554
1611
1754
1892
1952
2052
2141
227
2357
2498
2544
2620
2750
2834
2911
3015
3122
328
3349
3447
3540
368
93.37% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences118
matches
0"was panicked"
1"been surprised"
2"been vindicated"
3"been filed"
84.56% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs231
matches
0"was already disappearing"
1"was weaving"
2"was walking"
3"was waiting"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences123
ratio0.008
matches
0"She knew what she looked like to them—the off-the-rack suit visible beneath her raincoat, the badge clipped to her belt, the military precision of her bearing."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1554
adjectiveStacks0
stackExamples(empty)
adverbCount43
adverbRatio0.027670527670527672
lyAdverbCount8
lyAdverbRatio0.005148005148005148
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences123
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences123
mean13.04
std7.91
cv0.607
sampleLengths
017
130
222
330
47
53
614
712
816
915
1012
1122
1213
1323
1412
1517
1622
1715
1814
197
204
2120
223
2316
2415
2510
264
2719
283
292
3022
3111
3211
336
3413
356
3618
3714
385
3911
4013
415
4243
4325
447
452
461
4721
4817
4923
50.95% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.37398373983739835
totalSentences123
uniqueOpeners46
91.74% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences109
matches
0"Then he dropped into the"
1"More like the hum of"
2"Somewhere ahead, her suspect was"
ratio0.028
95.23% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount34
totalSentences109
matches
0"He’d been standing outside The"
1"She’d clocked him from across"
2"She could feel her pulse"
3"She was over in one"
4"He was fast, but he"
5"She rounded the corner and"
6"He’d wrenched the cover aside,"
7"she called out, her voice"
8"He looked up at her"
9"He smiled, and it wasn’t"
10"It was the smile of"
11"She stared down into the"
12"She should call for backup."
13"She should secure the scene"
14"She pulled out her torch"
15"She unclipped her torch and"
16"She saw jars filled with"
17"She recognized the place from"
18"She’d dismissed it as urban"
19"Her eyes scanned the crowd,"
ratio0.312
65.50% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount86
totalSentences109
matches
0"The rain came down in"
1"Detective Harlow Quinn kept her"
2"The suspect was thirty yards"
3"He’d been standing outside The"
4"She’d clocked him from across"
5"The too-still posture."
6"The way his head never"
7"She could feel her pulse"
8"The words were automatic, swallowed"
9"The suspect cut left down"
10"The alley was narrow, lined"
11"The smell of old cooking"
12"Harlow hit the fence a"
13"She was over in one"
14"The suspect was already disappearing"
15"He was fast, but he"
16"Panic made people stupid."
17"She rounded the corner and"
18"A dead end."
19"The suspect was at the"
ratio0.789
45.87% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences109
matches
0"Now her boots hammered the"
ratio0.009
47.62% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences75
technicalSentenceCount10
matches
0"He’d been standing outside The Raven’s Nest, collar up, hands shoved deep in his pockets, pretending to study the green neon sign like it held the secrets of th…"
1"The way his head never moved but his eyes tracked every face that passed."
2"The alley was narrow, lined with overflowing bins and a rusted fire escape that dripped brown water onto her shoulder as she passed."
3"Harlow hit the fence a heartbeat later, her fingers finding the cold links, her body remembering training that had never left her."
4"When her boots finally hit solid ground, she found herself in a brick-lined tunnel that looked Victorian."
5"The passage broadened into a vaulted chamber that had once been a Tube station platform, the old tilework still visible in patches beneath decades of grime and …"
6"She could feel it in her bones, the same instinct that had made her one of the Met’s best detectives."
7"He knew something about the string of impossible cases that had crossed her desk over the past six months."
8"The body found in Shoreditch with no identifiable cause of death, its cells fossilized as if it had been dead for millennia."
9"The banker who vanished from a locked penthouse, leaving behind nothing but a fine gray dust on his pillow."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount2
matches
0"she called out, her voice cutting through the rain"
1"Harlow replied, her hand still resting near her sidearm"
50.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount1
fancyTags
0"she called out (call out)"
dialogueSentences10
tagDensity0.4
leniency0.8
rawRatio0.25
effectiveRatio0.2
83.5004%