Run: 2026-04-25-01KQ2FPS88340F45GW9TMCXTRK

Run Details

Duration:
42.4s
Cost:
$0.001668
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 hadn’t let up since sundown. It sheeted against the windscreen of the unmarked Vauxhall and turned the sodium glare of the streetlamps into blurred coronas of orange light. Detective Harlow Quinn sat motionless behind the wheel, her window cracked an inch to let the cold seep in, watching the entrance to The Raven’s Nest through the rhythmic sweep of the wipers. She’d been sitting there for two hours. The green neon sign above the bar bled color into the puddled pavement, a sickly emerald that reminded her of old hospital corridors. Tomás had told her about the Nest once, back when she’d first started asking the wrong kinds of questions. He’d been a paramedic then, still licensed, still pretending the things he saw at three in the morning had rational explanations. She remembered the way he’d touched the Saint Christopher medallion at his throat when she mentioned Silas’ name. Even then, he’d been warning her off. Harlow checked her watch. Leather strap, worn soft at the edges. Morris had given it to her the day she made detective. She’d been wearing it the night he died, too, had watched the minute hand crawl past midnight while she waited for backup that never came. The door to the Nest swung open. A figure slipped out into the rain. Tall, hunched into a hooded jacket, moving with the kind of coiled tension that screamed *prey*. Harlow recognized the gait before she saw the face. Marcus Webb. Three warrants outstanding, suspected in a string of burglaries that had escalated into something far more interesting — break-ins at four separate antiquities dealers across the city, each one specializing in objects the Met didn’t officially acknowledge existed. She’d been trying to catch Webb for six weeks. The fact that he kept showing up at supernatural-adjacent establishments was not a coincidence. Webb glanced left, then right. Rain plastered his hood to his skull. He moved east on foot, fast but not quite running, his shoulders hunched against the weather. Harlow gave him a five-second head start, then slipped out of the car into the downpour. The cold hit her like a slap. She’d worn the wrong coat, a wool-blend that soaked through in seconds, but the weight of her service weapon under her arm was a familiar comfort. She kept to the shadows, maintaining distance, her footsteps silent on the wet pavement. Eighteen years on the force had taught her that chases were won in the first thirty seconds — the window before the quarry realizes they’re being hunted. Webb turned down an alley between a kebab shop and a boarded-up bookmaker. Harlow followed, her pulse steady, her breathing controlled. The alley stank of grease and old refuse. Water cascaded from a broken gutter overhead, and she ducked past it without breaking stride. Halfway down the alley, Webb broke into a sprint. He’d spotted her. It happened sometimes, even when you did everything right. Some people had instincts that bordered on preternatural. Harlow didn’t bother with subtlety anymore. She ran. Her boots splashed through ankle-deep puddles. Webb was young, maybe twenty-five, but he ran like someone who’d spent his life running — inefficient, panicked, all elbows and wasted motion. Harlow was forty-one years old and she’d learned to run with economy. She gained ground. Webb burst out of the alley onto a side street and veered sharp left toward the entrance of the Camden Town Tube station. Harlow saw the move for what it was — he wasn’t heading for the trains. He was heading for the service tunnels that branched off from the abandoned sections of the Northern Line. She’d heard rumors about what lurked down there on certain nights, when the moon was full and the Veil Market opened its doors. Tonight, the moon was an opaque smear behind the cloud cover, but Harlow knew its phase by heart. Webb vaulted the turnstile and disappeared down a stairwell marked with faded OUT OF SERVICE signs. Harlow followed without hesitation, her badge irrelevant in this pursuit, her authority meaningless underground. The stairs descended into a darkness that the emergency lighting barely touched. The air grew cold and stale, thick with the mineral smell of old concrete and standing water. She could hear Webb’s footsteps echoing ahead, irregular and frantic. He was tiring. Good. The tunnel opened onto an abandoned platform, its tiled walls cracked and blackened with decades of neglect. Rat droppings crunched underfoot. Webb had stopped running. He stood at the edge of the platform, his chest heaving, staring at something Harlow couldn’t yet see. She slowed to a walk, her hand resting on the grip of her weapon. “Webb. End of the line.” He turned to face her. In the dim light, his face was gaunt with fear — not fear of her, she realized with a chill. Fear of something else entirely. “You don’t understand,” he said. His voice cracked. “I can’t go back up there. Not tonight. They’ll find me.” “Who will find you?” But Webb shook his head, already retreating toward the tunnel mouth at the far end of the platform. This tunnel was different from the one they’d come through. It sloped downward at an angle the engineers who built the Northern Line would never have sanctioned, and from somewhere deep within it came a faint, amber glow. Harlow had heard about this. The entrance to the Veil Market was guarded — not by people, but by tokens. Bone tokens, earned or stolen or bought at prices that had nothing to do with money. She didn’t have one. Neither, she suspected, did Webb. He scrambled over the platform edge and dropped onto the tracks. Harlow followed, landing hard on the gravel bed, the impact jarring through her knees. The amber glow pulsed ahead, rhythmic as a heartbeat. “Webb,” she called. “Whatever you’ve gotten yourself into, we can sort it topside. You don’t have to go down there.” He laughed, a ragged sound that echoed strangely in the tunnel. “You think you know what’s down here, Detective? You think your badge means anything to the things that run this market?” Harlow’s jaw tightened. She’d lost Morris to questions exactly like this one — questions about what lurked beneath the city, about the transactions that happened in the spaces between the world she knew and the world that existed just beneath the surface. Three years, and she still didn’t have answers. Webb was the closest she’d come to a lead in months. The tunnel widened into a cavern that should not have existed beneath Camden. The walls were lined with stalls made of salvaged wood and rusted metal, their canopies stitched from fabrics that seemed to drink the amber light rather than reflect it. The air hummed with the murmur of voices and the clink of currency — not coins, weighing bulbs of bioluminescent fungi in his palm. The Veil Market moved every full moon. Tomorrow night, this cavern would be empty, the stalls dismantled, the merchants vanished to whatever bolt-hole they crawled out of. If Harlow wanted answers about what had killed Morris, about the network that connected the supernatural crime she’d been tracking for years, this was her chance. But she was uninvited. Unprotected. The rules of the surface didn’t apply here, and she could feel the weight of watching eyes as she stepped past the first row of stalls. Webb was ahead of her, pushing through the crowd toward a structure at the far end of the cavern — a pavilion draped in black silk, guarded by two figures who were human-shaped but wrong in ways Harlow’s mind skittered away from. He was heading straight for it, and the desperation in his movements told her he was running toward something rather than away. She could follow him. Step fully into the Market, announce her presence, and demand answers. The cost of doing so was incalculable. The cost of not doing so was three years of sleepless nights and Morris’ face staring up at her from a pool of blood that had no rational source. Harlow Quinn reached the edge of the cavern and stopped. Her watch ticked against her wrist. Rainwater dripped from her coat and pooled at her feet. Somewhere behind her, in the world she understood, the streets of London were still slick with rain, still governed by laws and logic and the thin blue line she’d sworn to uphold. Ahead of her was something else entirely. Webb reached the pavilion. The guards parted. He vanished through the black silk without looking back. Harlow drew a breath. She stepped forward into the amber light, and the Market closed around her like a door swinging shut.
created_at"2026-04-25T14:11:42.99Z" 4/25/2026, 2:11:42 PM
model"deepseek/deepseek-v4-pro-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency881
moderation_latency(null)
generation_time42267
tokens_prompt914
tokens_completion2235
native_tokens_prompt827
native_tokens_completion1856
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"
usage0.001668225
router(null)
provider_responses
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endpoint_id"d084170b-dd99-4e53-9ae1-b63881f3cfbf"
id"00202129-ec1b-454b-b60f-fb5d3786747e"
is_byokfalse
latency287
model_permaslug"deepseek/deepseek-v4-pro-20260423"
provider_name"DeepSeek"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777126302-nx8o8VD08tuXWw3BgVyX"
session_id(null)
api_type"completions"
id"gen-1777126302-NdGFRClwyhMsw6Q9kldp"
upstream_id"00202129-ec1b-454b-b60f-fb5d3786747e"
total_cost0.001668225
cache_discount0.00030624
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)
dialogueSentences7
tagDensity0.429
leniency0.857
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1442
totalAiIsmAdverbs0
found(empty)
highlights(empty)
80.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Marcus"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
41.05% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1442
totalAiIsms17
found
0
word"rhythmic"
count2
1
word"tension"
count1
2
word"weight"
count2
3
word"familiar"
count1
4
word"footsteps"
count2
5
word"pulse"
count1
6
word"echoing"
count1
7
word"chill"
count1
8
word"pulsed"
count1
9
word"echoed"
count1
10
word"could feel"
count1
11
word"structure"
count1
12
word"silk"
count2
highlights
0"rhythmic"
1"tension"
2"weight"
3"familiar"
4"footsteps"
5"pulse"
6"echoing"
7"chill"
8"pulsed"
9"echoed"
10"could feel"
11"structure"
12"silk"
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
narrationSentences107
matches
0"t with fear"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences107
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)
analyzedSentences112
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen42
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords1
totalWords1451
ratio0.001
matches
0"prey"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions63
wordCount1371
uniqueNames18
maxNameDensity1.31
worstName"Harlow"
maxWindowNameDensity2.5
worstWindowName"Harlow"
discoveredNames
Vauxhall1
Harlow18
Quinn2
Raven1
Nest3
Saint1
Christopher1
Webb15
Met1
Camden2
Town1
Tube1
Northern2
Line2
Veil3
Market5
Morris3
London1
persons
0"Harlow"
1"Quinn"
2"Saint"
3"Christopher"
4"Webb"
5"Met"
6"Line"
7"Market"
8"Morris"
places
0"Vauxhall"
1"Raven"
2"Camden"
3"Town"
4"Tube"
5"Veil"
6"London"
globalScore0.844
windowScore0.833
89.02% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences82
glossingSentenceCount2
matches
0"not quite running, his shoulders hunched against the weather"
1"fabrics that seemed to drink the amber light rather than reflect it"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.689
wordCount1451
matches
0"not by people, but by tokens"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences112
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs37
mean39.22
std22.58
cv0.576
sampleLengths
063
17
288
347
47
572
623
744
874
944
109
1128
1244
1379
1418
1559
1614
1743
1819
1930
2019
214
2256
2345
2434
2520
2632
2761
2866
2953
3031
3164
3251
3310
3455
3516
3622
98.70% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences107
matches
0"were won"
1"being hunted"
2"were lined"
86.04% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs234
matches
0"wasn’t heading"
1"was heading"
2"was heading"
3"was running"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount9
semicolonCount0
flaggedSentences9
totalSentences112
ratio0.08
matches
0"Three warrants outstanding, suspected in a string of burglaries that had escalated into something far more interesting — break-ins at four separate antiquities dealers across the city, each one specializing in objects the Met didn’t officially acknowledge existed."
1"Eighteen years on the force had taught her that chases were won in the first thirty seconds — the window before the quarry realizes they’re being hunted."
2"Webb was young, maybe twenty-five, but he ran like someone who’d spent his life running — inefficient, panicked, all elbows and wasted motion."
3"Harlow saw the move for what it was — he wasn’t heading for the trains."
4"In the dim light, his face was gaunt with fear — not fear of her, she realized with a chill."
5"The entrance to the Veil Market was guarded — not by people, but by tokens."
6"She’d lost Morris to questions exactly like this one — questions about what lurked beneath the city, about the transactions that happened in the spaces between the world she knew and the world that existed just beneath the surface."
7"The air hummed with the murmur of voices and the clink of currency — not coins, weighing bulbs of bioluminescent fungi in his palm."
8"Webb was ahead of her, pushing through the crowd toward a structure at the far end of the cavern — a pavilion draped in black silk, guarded by two figures who were human-shaped but wrong in ways Harlow’s mind skittered away from."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount198
adjectiveStacks0
stackExamples(empty)
adverbCount4
adverbRatio0.020202020202020204
lyAdverbCount1
lyAdverbRatio0.005050505050505051
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences112
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences112
mean12.96
std8.92
cv0.689
sampleLengths
07
123
233
37
423
519
621
718
87
94
107
1111
1225
137
147
1516
169
172
1838
199
2014
215
227
2316
2416
257
2626
2714
2827
2913
308
318
3215
339
343
359
368
376
382
396
4023
4112
423
4323
4415
4518
4623
4718
4816
4914
57.14% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.375
totalSentences112
uniqueOpeners42
33.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences101
matches
0"Somewhere behind her, in the"
ratio0.01
97.23% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount31
totalSentences101
matches
0"It sheeted against the windscreen"
1"She’d been sitting there for"
2"He’d been a paramedic then,"
3"She remembered the way he’d"
4"She’d been wearing it the"
5"She’d been trying to catch"
6"He moved east on foot,"
7"She’d worn the wrong coat,"
8"She kept to the shadows,"
9"He’d spotted her."
10"It happened sometimes, even when"
11"Her boots splashed through ankle-deep"
12"She gained ground."
13"He was heading for the"
14"She’d heard rumors about what"
15"She could hear Webb’s footsteps"
16"He was tiring."
17"He stood at the edge"
18"She slowed to a walk,"
19"He turned to face her."
ratio0.307
24.36% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount88
totalSentences101
matches
0"The rain hadn’t let up"
1"It sheeted against the windscreen"
2"Detective Harlow Quinn sat motionless"
3"She’d been sitting there for"
4"The green neon sign above"
5"Tomás had told her about"
6"He’d been a paramedic then,"
7"She remembered the way he’d"
8"Harlow checked her watch."
9"Leather strap, worn soft at"
10"Morris had given it to"
11"She’d been wearing it the"
12"The door to the Nest"
13"A figure slipped out into"
14"Harlow recognized the gait before"
15"She’d been trying to catch"
16"The fact that he kept"
17"Webb glanced left, then right."
18"Rain plastered his hood to"
19"He moved east on foot,"
ratio0.871
99.01% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences101
matches
0"Even then, he’d been warning"
1"If Harlow wanted answers about"
ratio0.02
40.82% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences56
technicalSentenceCount8
matches
0"The green neon sign above the bar bled color into the puddled pavement, a sickly emerald that reminded her of old hospital corridors."
1"Three warrants outstanding, suspected in a string of burglaries that had escalated into something far more interesting — break-ins at four separate antiquities …"
2"Webb was young, maybe twenty-five, but he ran like someone who’d spent his life running — inefficient, panicked, all elbows and wasted motion."
3"He stood at the edge of the platform, his chest heaving, staring at something Harlow couldn’t yet see."
4"It sloped downward at an angle the engineers who built the Northern Line would never have sanctioned, and from somewhere deep within it came a faint, amber glow…"
5"She’d lost Morris to questions exactly like this one — questions about what lurked beneath the city, about the transactions that happened in the spaces between …"
6"If Harlow wanted answers about what had killed Morris, about the network that connected the supernatural crime she’d been tracking for years, this was her chanc…"
7"Webb was ahead of her, pushing through the crowd toward a structure at the far end of the cavern — a pavilion draped in black silk, guarded by two figures who w…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences7
tagDensity0.286
leniency0.571
rawRatio0
effectiveRatio0
84.3238%