Run: 2026-04-25-01KQ2DKT97HAQ167HANA3JPX8G

Run Details

Duration:
26.8s
Cost:
$0.000649
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 sideways off the Thames, needle-sharp and cold enough to bite through the wool of Quinn’s coat. She kept her pace steady, boots slapping wet cobblestones as she tracked the figure two blocks ahead—a runner in a dark hood, quick and silent, the kind of silence that didn’t belong to a man who’d just been sprinting through Soho’s back alleys. Quinn’s lungs burned. Forty-one years old, eighteen years on the job, and she still couldn’t shake the habit of chasing down leads on foot. Backup was three minutes out, but three minutes in a city like this was an eternity. The runner knew the streets. Every pivot, every shortcut through a gap between buildings—he moved like he’d been born in these shadows. She pushed harder. The leather of her watch strap creaked against her wrist as she pumped her arms. The salt-and-pepper stubble of her cropped hair was plastered to her scalp. She didn’t care. She had a face—narrow, sharp-jawed, the kind of face that could hold a grudge for three years—and she had a name. The runner wasn’t the target, but he was connected to the target. She’d been watching the Raven’s Nest for six weeks, cataloging comings and goings, building a pattern. This man had walked out of that bar at 11:03 PM, glanced both ways like a man who knew he was being watched, and bolted. Quinn had followed. Now she was soaked through, her left knee aching from an old takedown, and the runner was angling toward Camden. Good. Camden meant crowds—late-night pub traffic, drunk students, buskers packing up their gear. She could lose him in a crowd. Or she could use it. He turned hard left into an alley that smelled of rot and diesel. Quinn followed without breaking stride, her right hand brushing the grip of her service weapon. She didn’t want to draw. Not yet. But the alley was narrow, the walls slick with moss, and the only light came from a single flickering bulb above a fire escape. The runner was waiting at the far end, breathing hard, his hood down just enough to show a streak of wet dark hair and a scar running along his jaw. He looked back at her. Not fear. Something else. A kind of grim calculation. Then he dropped through a hole in the ground. Quinn skidded to a stop, her boots sliding on wet concrete. The hole was a grate—pried up, recently, the rusted hinges still shiny where the bolts had sheared. A ladder descended into darkness. She could hear the echo of his footsteps, metal ringing against iron, going down. She pulled out her phone. No signal. Of course. The entrance beneath her was a service tunnel, probably old, probably part of the Tube system that had been abandoned for decades. She’d heard rumors about the places beneath London, the tunnels that didn’t appear on any map, the markets that didn’t open for daylight trade. She’d dismissed most of it as folklore—until DS Morris had walked into one of those tunnels three years ago and never walked out. The rain kept falling. It tapped the grate and ran in rivulets down the ladder rungs. Quinn’s finger hovered over the grip of her weapon. She told herself she was a rational woman. She told herself the supernatural didn’t exist, that the world was made of evidence and motive and concrete cause. But Morris had been a good detective. He’d been sober and thorough and impossible to spook. And the last time she’d seen him alive, he’d been standing at a grate just like this one, staring down into the dark. She took a breath. She holstered her weapon and swung her legs over the edge, found the first rung with her boot, and climbed down. The ladder was cold and slick. The rungs were bolted into crumbling brick, and the farther she descended, the more the rain faded, replaced by a damp silence that smelled of damp earth and something metallic—copper, maybe, or old blood. Her feet hit solid ground after twenty rungs. She pulled out her phone again, turned on the flashlight, and swept the beam across a narrow tunnel that curved left and descended at a shallow angle. The walls were lined with Victorian tiles, chipped and stained. A single bare bulb hung from a wire every thirty feet, casting pools of weak amber light. The runner’s footsteps were still audible, but they were fainter now, the sound of a man in a hurry. Quinn followed. The tunnel opened into a wider space, a disused station platform cordoned off by rusted gates. Beyond the gates, the gloom dissolved into something else—a low, sulfurous glow, like the light of a dying gas lamp. She could hear voices, a murmur that rose and fell like distant surf. And she could smell it now, an unmistakable mix of incense, strong tea, and rotting fruit. The Veil Market. She’d seen it in Morris’s notes. He’d been convinced it was a hub for trafficking, for weapons deals, for things that couldn’t be named. He’d drawn maps in the margins of his case file—maps that looked like neural pathways, branching tunnels marked with symbols she couldn’t decipher. She’d thought he was losing his mind. She’d told him to take leave, to see a counselor. He’d smiled at her, that slow, sad smile he’d worn when he knew he was right and no one believed him. “You’ll see, Harlow,” he’d said. “You’ll see eventually.” The gates were locked with a heavy padlock, but the lock was broken, the chain hanging loose. Quinn pushed the gate open. It whined on hinges that hadn’t been oiled in decades. The market sprawled before her like a wound in the earth. Trestle tables lined the platform, heaped with goods that caught the lamplight in strange ways—jars of liquid that swirled with their own internal shimmer, bundles of dried herbs tied with red string, knives with blades that seemed to drink the light. People moved among the stalls, their faces half-hidden by hoods and veils. Some of them looked at her. Others didn’t. The runner was gone—lost in the press of bodies—but the air was thick with the knowledge that she didn’t belong here. A vendor in a stained apron caught her eye. He was selling what looked like animal bones, each carved with a single character. He held one up between thumb and forefinger, a small white knuckle polished to a gloss. “You’ll need this,” he said. His accent was Jamaican, his voice a low rumble beneath the hum of the crowd. “One token, one entry. You’re in, but you don’t want to be stuck.” Quinn looked at the bone. She looked at the crowd. Somewhere in there was the man she’d chased, a lead that might finally crack open the case that had haunted her for three years. But this place—this place was not her jurisdiction. It wasn’t even her reality. The walls between the world above and the world below were thinner here, and she could feel them pressing in on her, a weight that had nothing to do with gravity. She thought of Morris. She thought of his maps, his notes, his certainty. She thought of the way he’d said her name that last time, like he was already gone. Quinn reached into her pocket, found a crumpled ten-pound note, and pressed it into the vendor’s hand. He pocketed it without comment and gave her the bone token. It was warm against her palm, smooth as river stone. She stepped into the crowd. The market swallowed her whole. The air thickened, the voices grew louder, and the sulfurous glow cast everything in shades of amber and rust. She kept one hand on the bone token, the other near her weapon, and she moved forward into the dark, wondering if she was following the runner—or if the runner had been leading her here all along.
created_at"2026-04-25T13:35:08.587Z" 4/25/2026, 1:35:08 PM
model"deepseek/deepseek-v4-flash-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency614
moderation_latency(null)
generation_time26687
tokens_prompt914
tokens_completion2230
native_tokens_prompt827
native_tokens_completion1956
native_tokens_completion_images(null)
native_tokens_reasoning221
native_tokens_cached128
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"
usage0.000649124
router(null)
provider_responses
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endpoint_id"722e0746-2034-4d6e-a08f-e6271849ee9e"
id"6b57cfaa-9db6-43dc-9909-876d506cc871"
is_byokfalse
latency420
model_permaslug"deepseek/deepseek-v4-flash-20260423"
provider_name"DeepSeek"
status200
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http_referer(null)
request_id"req-1777124108-CIKrkDyrsrNjHHMDxjY9"
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api_type"completions"
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upstream_id"6b57cfaa-9db6-43dc-9909-876d506cc871"
total_cost0.000649124
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences4
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1341
totalAiIsmAdverbs0
found(empty)
highlights(empty)
100.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
70.17% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1341
totalAiIsms8
found
0
word"silence"
count2
1
word"echo"
count1
2
word"footsteps"
count2
3
word"gloom"
count1
4
word"could feel"
count1
5
word"weight"
count1
highlights
0"silence"
1"echo"
2"footsteps"
3"gloom"
4"could feel"
5"weight"
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
narrationSentences102
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences102
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)
analyzedSentences104
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen44
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1325
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions26
wordCount1303
uniqueNames13
maxNameDensity0.77
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Thames1
Quinn10
Soho1
Raven1
Nest1
Camden2
Tube1
London1
Morris4
Victorian1
Veil1
Market1
Jamaican1
persons
0"Quinn"
1"Raven"
2"Morris"
3"Victorian"
4"Market"
places
0"Thames"
1"Soho"
2"London"
globalScore1
windowScore1
44.37% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences71
glossingSentenceCount3
matches
0"looked like neural pathways, branching tu"
1"blades that seemed to drink the light"
2"looked like animal bones, each carved wit"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1325
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences104
matches
0"exist, that the"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs31
mean42.74
std30.01
cv0.702
sampleLengths
062
162
2107
33
445
589
614
79
847
99
1069
1191
1225
1375
1446
152
1665
173
1864
1921
208
2132
2211
2382
2439
2533
2678
2730
2838
295
3061
67.42% Passive voice overuse
Target: ≤2% passive sentences
passiveCount11
totalSentences102
matches
0"was plastered"
1"was connected"
2"being watched"
3"been abandoned"
4"was made"
5"were bolted"
6"were lined"
7"been convinced"
8"was broken"
9"been oiled"
10"was gone"
20.63% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount6
totalVerbs223
matches
0"was being"
1"was angling"
2"was waiting"
3"was losing"
4"was selling"
5"was following"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount16
semicolonCount0
flaggedSentences13
totalSentences104
ratio0.125
matches
0"She kept her pace steady, boots slapping wet cobblestones as she tracked the figure two blocks ahead—a runner in a dark hood, quick and silent, the kind of silence that didn’t belong to a man who’d just been sprinting through Soho’s back alleys."
1"Every pivot, every shortcut through a gap between buildings—he moved like he’d been born in these shadows."
2"She had a face—narrow, sharp-jawed, the kind of face that could hold a grudge for three years—and she had a name."
3"Camden meant crowds—late-night pub traffic, drunk students, buskers packing up their gear."
4"The hole was a grate—pried up, recently, the rusted hinges still shiny where the bolts had sheared."
5"She’d dismissed most of it as folklore—until DS Morris had walked into one of those tunnels three years ago and never walked out."
6"The rungs were bolted into crumbling brick, and the farther she descended, the more the rain faded, replaced by a damp silence that smelled of damp earth and something metallic—copper, maybe, or old blood."
7"Beyond the gates, the gloom dissolved into something else—a low, sulfurous glow, like the light of a dying gas lamp."
8"He’d drawn maps in the margins of his case file—maps that looked like neural pathways, branching tunnels marked with symbols she couldn’t decipher."
9"Trestle tables lined the platform, heaped with goods that caught the lamplight in strange ways—jars of liquid that swirled with their own internal shimmer, bundles of dried herbs tied with red string, knives with blades that seemed to drink the light."
10"The runner was gone—lost in the press of bodies—but the air was thick with the knowledge that she didn’t belong here."
11"But this place—this place was not her jurisdiction."
12"She kept one hand on the bone token, the other near her weapon, and she moved forward into the dark, wondering if she was following the runner—or if the runner had been leading her here all along."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1326
adjectiveStacks0
stackExamples(empty)
adverbCount27
adverbRatio0.020361990950226245
lyAdverbCount5
lyAdverbRatio0.003770739064856712
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences104
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences104
mean12.74
std8.98
cv0.705
sampleLengths
019
143
23
321
416
55
617
73
815
912
103
1121
1212
1316
1425
153
1620
171
1812
197
205
2113
2215
235
242
2524
2630
275
282
292
305
319
3211
3317
345
3514
365
372
382
3922
4024
4123
424
4312
449
458
4619
477
489
4923
36.54% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.2980769230769231
totalSentences104
uniqueOpeners31
72.46% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences92
matches
0"Then he dropped through a"
1"Somewhere in there was the"
ratio0.022
41.74% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount41
totalSentences92
matches
0"She kept her pace steady,"
1"She pushed harder."
2"She didn’t care."
3"She had a face—narrow, sharp-jawed,"
4"She’d been watching the Raven’s"
5"She could lose him in"
6"He turned hard left into"
7"She didn’t want to draw."
8"He looked back at her."
9"She could hear the echo"
10"She pulled out her phone."
11"She’d heard rumors about the"
12"She’d dismissed most of it"
13"It tapped the grate and"
14"She told herself she was"
15"She told herself the supernatural"
16"He’d been sober and thorough"
17"She took a breath."
18"She holstered her weapon and"
19"Her feet hit solid ground"
ratio0.446
19.78% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount81
totalSentences92
matches
0"The rain came sideways off"
1"She kept her pace steady,"
2"Quinn’s lungs burned."
3"Backup was three minutes out,"
4"The runner knew the streets."
5"Every pivot, every shortcut through"
6"She pushed harder."
7"The leather of her watch"
8"The salt-and-pepper stubble of her"
9"She didn’t care."
10"She had a face—narrow, sharp-jawed,"
11"The runner wasn’t the target,"
12"She’d been watching the Raven’s"
13"This man had walked out"
14"Quinn had followed."
15"Camden meant crowds—late—night pub traffic,"
16"She could lose him in"
17"He turned hard left into"
18"Quinn followed without breaking stride,"
19"She didn’t want to draw."
ratio0.88
54.35% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences92
matches
0"Now she was soaked through,"
ratio0.011
55.14% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences57
technicalSentenceCount7
matches
0"She kept her pace steady, boots slapping wet cobblestones as she tracked the figure two blocks ahead—a runner in a dark hood, quick and silent, the kind of sile…"
1"She had a face—narrow, sharp-jawed, the kind of face that could hold a grudge for three years—and she had a name."
2"The rungs were bolted into crumbling brick, and the farther she descended, the more the rain faded, replaced by a damp silence that smelled of damp earth and so…"
3"She pulled out her phone again, turned on the flashlight, and swept the beam across a narrow tunnel that curved left and descended at a shallow angle."
4"He’d drawn maps in the margins of his case file—maps that looked like neural pathways, branching tunnels marked with symbols she couldn’t decipher."
5"Trestle tables lined the platform, heaped with goods that caught the lamplight in strange ways—jars of liquid that swirled with their own internal shimmer, bund…"
6"The walls between the world above and the world below were thinner here, and she could feel them pressing in on her, a weight that had nothing to do with gravit…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences4
tagDensity0.25
leniency0.5
rawRatio0
effectiveRatio0
79.4200%