Run: 2026-10-20-01M5C6NQT9WGQ6AQFXHHS577SQ

Run Details

Duration:
10.6s
Cost:
$0.003091
Provider:
Together

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
Rain came down in sheets, slanting through the neon above Camden High Street and turning the pavement into a slick black mirror. Detective Harlow Quinn moved through it without breaking stride, her cropped salt-and-pepper hair beaded with water, her coat dark enough to swallow the light. She kept her eyes fixed on the man forty yards ahead: olive anorak, hood up, left shoulder dipping every third step as if carrying something heavy on that side. He had come out of the Raven’s Nest ten minutes ago with a slim parcel wrapped in oilcloth and a face she had only seen in grainy surveillance stills. Now he was moving fast, cutting between buses and delivery mules, his trainers slapping through puddles. Quinn had been tailing him since Kentish Town. Eighteen years on the force had taught her the rhythm of a man who knew he was being followed. He checked shop windows. He varied his pace. He crossed when the light was amber, forcing her to choose between losing him and jaywalking into traffic. She chose the traffic. A black cab braked hard, horn blaring, and she raised one hand in apology without looking back. Her left wrist ached under the worn leather watch. Three years since Morris had given it to her, and she still wound it every morning out of habit. Three years since he had gone into a building in Hackney and come out in a body bag with no explanation that held water. The official report said cardiac event. The coroner’s face had said something else. Quinn had stopped believing in clean answers somewhere between the funeral and the first time she’d found a carved bone token in his desk drawer, tucked behind a photograph of his kids. The man in the anorak turned sharply left, away from the high street, into a side road lined with shuttered launderettes and a Turkish grocer’s. Quinn followed. Rain drummed on the metal awning above her. Her shoes were soaked through. She could feel the cold creeping up her ankles, but she kept her breathing even, counting the man’s steps, matching them. He ducked into a alley that shouldn’t have been there. Quinn knew Camden. She had walked these streets for years, and the alley between the grocer’s and a vacant betting shop was supposed to be a dead end, a place where junkies slept and council workers dumped broken furniture. Instead, the man disappeared into a dark mouth at the end of it, beneath a rusted sign that still bore the ghost of a London Underground roundel. An abandoned station. She had seen it on maps, one of the lost ones, closed since the seventies, bricked up and forgotten. Quinn slowed at the entrance. Her hand went to the radio at her shoulder, then stopped. No backup. No warrant. No probable cause beyond a parcel and a bad feeling. If she called it in, she’d lose him in the ten minutes it took for a response unit to arrive. She pulled out her torch, clicked it on, and stepped inside. The stairs went down farther than they should have. The walls were tiled in cracked white ceramic, stained brown at the edges, and the air smelled of wet stone and something older, like copper and candle smoke. Her torch beam caught graffiti, most of it meaningless, but some of it symbols she didn’t recognize: circles within circles, lines that bent at impossible angles. The man’s footsteps echoed ahead of her, then stopped. Quinn killed her torch and pressed herself against the wall. She could hear him breathing. Or maybe it was the tunnel. The sound was too steady, too deep. Then a click, a soft grinding noise, and a sliver of light appeared at the far end of the platform. A door. He was opening a door. She moved forward, careful, her right hand on the butt of her service weapon. The platform was littered with broken tiles and the skeletal remains of benches. At the end, where the tunnel should have continued into blackness, a heavy iron door stood set into the brickwork. It was open. The man in the anorak was already through it, and beyond him Quinn saw a staircase spiraling down, lit by gas lamps that hissed and flickered. She reached the door and stopped. Carved into the iron was a symbol she had seen before, on the bone token in Morris’s drawer. A circle with a line through it, and beneath it, words in a language she didn’t know. Her hand went to her coat pocket. The token was still there, in a plastic evidence bag, cold and smooth against her fingers. She had never been able to throw it away. From below came the sound of voices, dozens of them, layered over each other like water over stones. And something else: a low hum, almost musical, that made the fillings in her teeth ache. The air that drifted up was warm and thick, carrying smells of incense, sweat, and something sweetly rotten. Quinn looked back up the stairs. The alley, the rain, the city—they felt very far away. She thought of Morris, of the way he had looked at her in the hospital corridor three years ago, before the case that killed him, and said, *Some doors you don’t open, Harlow. Not even to see what’s behind them.* She had never been good at leaving doors closed. She took the bone token out of the bag. It was lighter than it looked, carved from something that wasn’t quite bone—too smooth, too warm. She pressed it against the iron door, and the symbol flared once, a dull red glow, then faded. The door swung open another inch. Quinn stepped through. The staircase curled down into a space that shouldn’t have existed beneath Camden. The ceiling was vaulted brick, strung with cables and bare bulbs that swung gently in a draft she couldn’t feel. Stalls lined a central aisle, their tables covered in cloths of deep red and black. She saw jars filled with things suspended in liquid, bundles of dried herbs tied with human hair, knives with handles carved from antler and bone. A woman with silver eyes sold memories from glass vials. A man with no shadow traded in names. The crowd moved with a quiet purpose, hooded and gloved, their faces half-hidden. No one looked at her twice. The hum was louder here, coming from everywhere and nowhere. It vibrated in her chest. Quinn spotted the anorak twenty yards ahead, moving through the crowd toward a stall draped in black velvet. She started after him, but a hand caught her elbow. She spun, her free hand going to her weapon. The man who had stopped her was old, his face a map of scars, his eyes milky white. He wore a coat made of stitched together leather patches. “Bone token,” he said. His voice was dry as paper. “You have one. That gets you in. It doesn’t get you out.” Quinn pulled her arm free. “Police,” she said, her voice low. “Step back.” The old man smiled, showing teeth filed to points. “Police,” he repeated, as if tasting the word. “No police here, detective. Only customers.” She looked past him. The anorak was gone. The black velvet stall was empty. Quinn’s heart hammered against her ribs. She was alone, unarmed in a way that had nothing to do with her gun, standing in a market that moved every full moon and sold things that shouldn’t exist. Somewhere above her, rain fell on the city she understood. Somewhere below, the hum grew louder. She thought of Morris again. Of the token in his drawer. Of the look on his face when he’d said *some doors*. She had opened this one. Now she had to see what was behind it. She straightened her coat, checked her watch—11:47—and walked deeper into the Veil Market.
created_at"2026-10-20T08:26:01.423Z" 10/20/2026, 8:26:01 AM
model"deepseek/deepseek-v4.1-flash-20261017"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency78
moderation_latency(null)
generation_time10611
tokens_prompt888
tokens_completion2884
native_tokens_prompt853
native_tokens_completion2551
native_tokens_completion_images(null)
native_tokens_reasoning880
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"
service_tier(null)
usage0.003091308
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1792484761-JqxOh2ZMZ03fIjYeQ0jz"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1792484761-wn2sA2PqxRBZXTRtS3CR"
upstream_id"b4792fcc-aws_ue1"
provider_responses
0
endpoint_id"34cd16bf-a525-40b2-beeb-5f1809202c06"
id"b4792fcc-aws_ue1"
is_byokfalse
latency46
model_permaslug"deepseek/deepseek-v4.1-flash-20261017"
provider_name"Together"
status200
total_cost0.003091308
cache_discount0.000225792
upstream_inference_cost0
provider_name"Together"
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
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences6
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
84.88% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1323
totalAiIsmAdverbs4
found
0
adverb"sharply"
count1
1
adverb"sweetly"
count1
2
adverb"very"
count1
3
adverb"gently"
count1
highlights
0"sharply"
1"sweetly"
2"very"
3"gently"
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)
73.54% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1323
totalAiIsms7
found
0
word"could feel"
count1
1
word"footsteps"
count1
2
word"echoed"
count1
3
word"flickered"
count1
4
word"vibrated"
count1
5
word"velvet"
count2
highlights
0"could feel"
1"footsteps"
2"echoed"
3"flickered"
4"vibrated"
5"velvet"
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
narrationSentences105
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences105
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences108
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen36
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans2
markdownWords15
totalWords1319
ratio0.011
matches
0"Some doors you don’t open, Harlow. Not even to see what’s behind them."
1"some doors"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
99.81% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions34
wordCount1295
uniqueNames16
maxNameDensity1
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Camden3
High1
Street1
Harlow2
Quinn13
Raven1
Nest1
Kentish1
Town1
Morris4
Hackney1
Turkish1
London1
Underground1
Veil1
Market1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Morris"
places
0"Camden"
1"High"
2"Street"
3"Kentish"
4"Town"
5"Hackney"
6"London"
7"Veil"
8"Market"
globalScore0.998
windowScore1
58.54% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences82
glossingSentenceCount3
matches
0"as if carrying something heavy on that side"
1"quite bone—too smooth, too warm"
2"as if tasting the word"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1319
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences108
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs25
mean52.76
std32.03
cv0.607
sampleLengths
0120
174
297
361
498
561
672
755
876
973
1052
1156
129
1349
143
15110
1615
1737
1850
1913
2023
2114
2252
2336
2413
85.21% Passive voice overuse
Target: ≤2% passive sentences
passiveCount6
totalSentences105
matches
0"being followed"
1"was supposed"
2"were tiled"
3"was littered"
4"was vaulted"
5"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs219
matches
0"was opening"
63.49% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences3
totalSentences108
ratio0.028
matches
0"The alley, the rain, the city—they felt very far away."
1"It was lighter than it looked, carved from something that wasn’t quite bone—too smooth, too warm."
2"She straightened her coat, checked her watch—11:47—and walked deeper into the Veil Market."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1302
adjectiveStacks0
stackExamples(empty)
adverbCount33
adverbRatio0.02534562211981567
lyAdverbCount4
lyAdverbRatio0.0030721966205837174
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences108
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences108
mean12.21
std8.13
cv0.665
sampleLengths
022
124
229
329
416
58
619
74
84
918
104
1117
129
1319
1424
156
167
1732
1825
192
208
215
2221
2310
243
2536
2627
273
2819
295
3011
312
322
3310
3420
3511
369
3728
3826
399
4010
415
426
437
4420
452
465
4714
4813
4920
37.04% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.28703703703703703
totalSentences108
uniqueOpeners31
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences100
matches
0"Instead, the man disappeared into"
1"Then a click, a soft"
2"Somewhere above her, rain fell"
3"Somewhere below, the hum grew"
ratio0.04
60.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount40
totalSentences100
matches
0"She kept her eyes fixed"
1"He had come out of"
2"He checked shop windows."
3"He varied his pace."
4"He crossed when the light"
5"She chose the traffic."
6"Her left wrist ached under"
7"Her shoes were soaked through."
8"She could feel the cold"
9"He ducked into a alley"
10"She had walked these streets"
11"She had seen it on"
12"Her hand went to the"
13"She pulled out her torch,"
14"Her torch beam caught graffiti,"
15"She could hear him breathing."
16"He was opening a door."
17"She moved forward, careful, her"
18"It was open."
19"She reached the door and"
ratio0.4
60.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount80
totalSentences100
matches
0"Rain came down in sheets,"
1"Detective Harlow Quinn moved through"
2"She kept her eyes fixed"
3"He had come out of"
4"Quinn had been tailing him"
5"He checked shop windows."
6"He varied his pace."
7"He crossed when the light"
8"She chose the traffic."
9"A black cab braked hard,"
10"Her left wrist ached under"
11"The official report said cardiac"
12"The coroner’s face had said"
13"Quinn had stopped believing in"
14"The man in the anorak"
15"Rain drummed on the metal"
16"Her shoes were soaked through."
17"She could feel the cold"
18"He ducked into a alley"
19"Quinn knew Camden."
ratio0.8
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount3
totalSentences100
matches
0"Now he was moving fast,"
1"If she called it in,"
2"Now she had to see"
ratio0.03
50.26% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences54
technicalSentenceCount7
matches
0"She kept her eyes fixed on the man forty yards ahead: olive anorak, hood up, left shoulder dipping every third step as if carrying something heavy on that side."
1"She could feel the cold creeping up her ankles, but she kept her breathing even, counting the man’s steps, matching them."
2"The man in the anorak was already through it, and beyond him Quinn saw a staircase spiraling down, lit by gas lamps that hissed and flickered."
3"The air that drifted up was warm and thick, carrying smells of incense, sweat, and something sweetly rotten."
4"She thought of Morris, of the way he had looked at her in the hospital corridor three years ago, before the case that killed him, and said, *Some doors you don’…"
5"The man who had stopped her was old, his face a map of scars, his eyes milky white."
6"She was alone, unarmed in a way that had nothing to do with her gun, standing in a market that moved every full moon and sold things that shouldn’t exist."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount2
matches
0"she said, her voice low"
1"he repeated, as if tasting the word"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount1
fancyTags
0"he repeated (repeat)"
dialogueSentences6
tagDensity0.5
leniency1
rawRatio0.333
effectiveRatio0.333
82.4259%