Run: 2026-04-25-01KQ2GSTY797NMPW3WYKKH74E3

Run Details

Duration:
31.3s
Cost:
$0.000592
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="4414" name="Eva Kowalski" aliases="Eva, Evie" pronouns="she/her" species="Human" storyRole="Best Friend"> <eyeColor>green</eyeColor> <hair>curly red</hair> <height>5'4"</height> <age>26</age> <glasses>round glasses</glasses> <satchel>worn leather satchel full of books</satchel> <freckles>freckled complexion</freckles> <nervousHabit>tucking hair behind her left ear</nervousHabit> <description>Aurora's childhood friend and an occult researcher.</description> <backstory>Moved to London two years before Aurora and works as a research assistant at the British Museum's restricted archives. She holds a master's degree in Ancient History from Oxford.</backstory> </character> <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> <item id="2004" name="Veil Compass" aliases="the Compass, shadow compass" type="Tool" origin="The Veil Market"> <casingMaterial>small brass compass</casingMaterial> <faceMarkings>face etched with protective sigils</faceMarkings> <needle>points toward the nearest supernatural rift or portal</needle> <patina>casing has a patina of verdigris</patina> <creator>crafted by a Shade artisan</creator> <description>A compass attuned to supernatural energy.</description> </item> </codex> Write a fully fleshed out scene of at least 1000 words in the mystery genre. A detective arrives at a crime scene in an unusual location. Something is wrong — the evidence doesn't add up. A colleague is present, offering a different interpretation. Through careful observation and deduction, the detective begins to see what others have missed. 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 air in the abandoned Tube station tasted of rust and old copper, a metallic tang that settled on the back of Harlow Quinn’s tongue like a bad penny. She ducked under the police tape, her boots crunching on a scatter of ancient cigarette butts and shattered tile, and took in the scene with a practiced, methodical sweep. The platform was a cathedral of decay. Arched ceilings, once white, now wept a brownish stain that mapped itself in rivulets down to the tracks below. The overhead lights, jury-rigged to a portable generator, cast long, skeletal shadows that swayed with the hum of the machine. At the center of the platform, a body lay crumpled under a pool of halogen light. Quinn tightened her jaw. She didn’t know the victim. A man, mid-thirties, dressed in a charcoal suit that had cost more than her monthly rent. He was sprawled on his back, one arm flung out as if reaching for the platform’s edge, the other pinned beneath his ribs. His eyes were open, glassy, fixed on the soot-stained ceiling. No visible blood. No obvious wound. “Time of death, approximately 0200 hours,” said a voice behind her. Detective Constable Patel, a younger man with a clipboard and the eager, clipped efficiency of someone who still believed in clean answers. “M.E.’s preliminary is a fall. Massive cranial trauma from impacting the tracks. Looks like he slipped, hit his head, and landed down there. Someone moved him back up to the platform.” Quinn didn’t answer. She walked a slow, deliberate circle around the body, her hands in the pockets of her trench coat. The worn leather of her watch strap pressed against her wrist, a familiar anchor. She stopped at the victim’s outstretched hand. “There’s no blood on the rails,” she said. Patel looked up from his clipboard. “Sir?” “You said he fell. Hit his head on the tracks. Where’s the transfer?” She pointed at the victim’s scalp. “His hair is dry. The wound is clean. No grit. No iron filings. No rat droppings. If he bounced off a hundred-year-old rail, his head would look like a cheese grater went to work. This is a wound from a blunt, flat surface. Something smooth. A floor.” She looked at Patel, her brown eyes flat. “He was killed somewhere else and brought here.” Patel’s pen stopped moving. He cleared his throat. “The M.E. said the trauma was consistent with a fall. He was found on the platform. The ladder down to the tracks is still there. It’s the simplest explanation.” “Simplest isn’t the same as right.” Quinn crouched, her knees popping. She studied the victim’s suit. The lapels were straight, the tie still knotted. No scuffs on the shoes. No dust on the shoulders. She looked at the floor around the body. A thin layer of grime and powdered concrete covered the platform, the kind of filth that accumulated in a place no one cleaned. But there was no drag mark. No disturbed path where someone had hauled a corpse. She looked closer. The victim’s left hand was partially closed, the fingers curved as if around an absent object. On the platform beside the body, almost hidden in a crack between broken tiles, something glinted in the halogen light. A small brass compass, its casing blotched with a patina of verdigris. Quinn didn’t touch it. “Bag this.” Patel stepped forward with an evidence bag and tweezers. He picked up the compass, turning it in the light. “Could have fallen out of his pocket. When he fell.” “He didn’t fall.” Quinn stood. She pulled out a small flashlight and clicked it on, aiming the beam at the far end of the platform. The light carved through the dark, illuminating a stack of old wooden crates, a collapsed sign advertising a brand of cigarettes that had been dead before Quinn was born. And behind the crates, a narrow door set into the wall. A door that shouldn’t be there. It was made of dark, age-stained wood, with a handle that looked like a human molar. “What’s that?” she asked. Patel squinted. “A service door? This station was closed in the nineties. There’s all sorts of old access points.” “It doesn’t match the other architectural details. The hinges are brass, not steel. The wood is oak. That thing was put there recently. By someone who knew what they were doing.” She walked toward it, her footsteps echoing in the hollow chamber. The air grew colder as she approached, the taste of rust giving way to something sharper. Old ash. Dried blood. Patel followed, his heels clicking. “Quinn, I’m telling you, the M.E. is solid. The timeline works. The victim was a mid-level accountant from Clapham. No known enemies. He takes a late train, ends up here, slips in the dark. It’s a sad story. Not a conspiracy.” Quinn stopped in front of the door. She ran her gloved fingers over the handle. The molar felt smooth, almost polished. She tried the handle. It turned, clicked, and the door swung inward on silent hinges. Inside was a room. A small room, maybe ten feet square, with walls of rough brick. There was no dust in here. The floor was swept clean. And on the wall opposite the door, someone had drawn a circle in chalk. A circle ringed with symbols Quinn didn’t recognize. At the center of the circle lay a small, bone-white token. A piece of carved bone, shaped like a crescent moon. “What the hell is that?” Patel whispered. Quinn crouched again, her flashlight beam tracing the symbols. They looked like a language, but not one she’d ever studied. The letters were sharp, angular, like the marks a bird might make in wet sand. She didn’t touch the token either. She looked at the floor, at the faint, smeared tracks in the chalk dust. A pattern. A drag mark. A body had been hauled from this room, through this door, and onto the platform. She straightened and looked at the compass in Patel’s evidence bag. The needle, still visible through the plastic, was pointing directly at the crescent-moon token on the floor. “He wasn’t killed here,” she said quietly. “He was killed in that room. For a reason. And then moved.” Patel was silent for a long moment. Then he said, “You can’t prove that.” “I can.” Quinn pointed at the victim’s hand. “The compass. He was holding it when he died. His fingers are curved around it. He didn’t drop it. He was holding it. And the person who moved his body left it behind. A souvenir. Or a calling card.” She looked at Patel. “Get forensics to check his pockets for a bone token.” Patel blinked. “A what?” “A piece of carved bone. About the size of a coin. Crescent-shaped.” Quinn turned and walked back toward the body. She looked at the victim’s face again, at the frozen surprise in his glassy eyes. He hadn’t expected to die. He had come here looking for something. A transaction. An exchange. And someone had met him in this dark, abandoned station and put a bullet or a blow to his head instead. She looked at the compass again. The needle still pointed at the room. At the circle. At the token. She didn’t have all the pieces yet. But the shape of the picture was beginning to emerge, hazy and wrong, like a face glimpsed through a dirty window. This was not a simple fall. This was a killing with a purpose. And the door in the wall, the chalk circle, the bone token—they were fragments of something larger, something that ran beneath the city like a vein of black ice. Quinn pulled out her notebook and wrote down the time, the date, the symbols she could remember. She made a sketch of the compass and the token. Then she looked at Patel. “I want a full canvas of anyone who was near this station between midnight and three. Call the transit authority. Find out if any off-duty drivers reported seeing a man in a charcoal suit getting off a train at a closed station.” She clipped her pen back into her pocket. “And get me a copy of the M.E.’s full report. I want to see the wound myself. Not a summary.” Patel hesitated. “You think this is connected to something.” Quinn looked at the door, still standing open, the dark rectangle of the room beyond swallowing the light. She thought of her partner, Morris. The case he’d been working before he died. The files that had vanished from his desk. The strange marks on his notebook that no one could explain. She didn’t know what she thought. Not yet. But she knew the shape of a lie when she saw it, and this crime scene was full of lies. “I think,” she said, “that someone has been using this city’s bones for their own purposes. And I think this man found out about it. Now he’s dead.” She turned away from the door and walked back toward the stairs, the echoes of her footsteps following her like a second heartbeat.
created_at"2026-04-25T14:30:51.596Z" 4/25/2026, 2:30:51 PM
model"deepseek/deepseek-v4-flash-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency698
moderation_latency(null)
generation_time31161
tokens_prompt923
tokens_completion2272
native_tokens_prompt857
native_tokens_completion1993
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"
usage0.000592004
router(null)
provider_responses
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endpoint_id"722e0746-2034-4d6e-a08f-e6271849ee9e"
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is_byokfalse
latency285
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-1777127451-EktVkkJetnSiiP7fYSqk"
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api_type"completions"
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upstream_id"db0e86f6-b421-45d6-b058-df3ce5e167b7"
total_cost0.000592004
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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
totalTags15
adverbTagCount1
adverbTags
0"she said quietly [quietly]"
dialogueSentences29
tagDensity0.517
leniency1
rawRatio0.067
effectiveRatio0.067
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1525
totalAiIsmAdverbs0
found(empty)
highlights(empty)
80.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Patel"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
73.77% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1525
totalAiIsms8
found
0
word"shattered"
count1
1
word"methodical"
count1
2
word"familiar"
count1
3
word"footsteps"
count2
4
word"echoing"
count1
5
word"tracing"
count1
6
word"echoes"
count1
highlights
0"shattered"
1"methodical"
2"familiar"
3"footsteps"
4"echoing"
5"tracing"
6"echoes"
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
narrationSentences115
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences115
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences128
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen57
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1524
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions11
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions33
wordCount1086
uniqueNames7
maxNameDensity1.29
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Patel"
discoveredNames
Tube1
Harlow1
Quinn14
Detective1
Constable1
Patel14
Morris1
persons
0"Harlow"
1"Quinn"
2"Constable"
3"Patel"
4"Morris"
places(empty)
globalScore0.855
windowScore0.833
50.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences75
glossingSentenceCount3
matches
0"as if reaching for the platform’s edge, the other pinned beneath his ribs"
1"looked like a human molar"
2"looked like a language, but not one she’d"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1524
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences128
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs37
mean41.19
std25.72
cv0.624
sampleLengths
058
162
264
364
442
58
67
782
837
980
1051
116
1229
1387
144
1519
1662
1746
1836
1970
207
2175
2228
2319
2414
2561
264
2772
2819
2970
3032
3170
329
3351
3428
3528
3623
93.06% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences115
matches
0"was sprawled"
1"was made"
2"was swept"
3"been hauled"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs166
matches
0"was pointing"
1"was beginning"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences128
ratio0.008
matches
0"And the door in the wall, the chalk circle, the bone token—they were fragments of something larger, something that ran beneath the city like a vein of black ice."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1093
adjectiveStacks1
stackExamples
0"small, bone-white token."
adverbCount27
adverbRatio0.024702653247941447
lyAdverbCount4
lyAdverbRatio0.0036596523330283625
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences128
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences128
mean11.91
std10.07
cv0.845
sampleLengths
029
129
27
319
420
516
64
75
816
923
1010
113
123
1311
1422
1531
163
1718
1814
197
208
216
221
2319
2455
258
264
274
2829
2911
305
318
325
335
348
3523
366
379
383
3916
4020
4112
424
432
449
4510
4610
475
4820
4929
39.84% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats13
diversityRatio0.265625
totalSentences128
uniqueOpeners34
66.01% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences101
matches
0"Then he said,"
1"Then she looked at Patel."
ratio0.02
81.39% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount35
totalSentences101
matches
0"She ducked under the police"
1"She didn’t know the victim."
2"He was sprawled on his"
3"His eyes were open, glassy,"
4"She walked a slow, deliberate"
5"She stopped at the victim’s"
6"She pointed at the victim’s"
7"She looked at Patel, her"
8"He cleared his throat."
9"She studied the victim’s suit."
10"She looked at the floor"
11"She looked closer."
12"He picked up the compass,"
13"She pulled out a small"
14"It was made of dark,"
15"She walked toward it, her"
16"She ran her gloved fingers"
17"She tried the handle."
18"It turned, clicked, and the"
19"They looked like a language,"
ratio0.347
73.86% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount78
totalSentences101
matches
0"The air in the abandoned"
1"She ducked under the police"
2"The platform was a cathedral"
3"The overhead lights, jury-rigged to"
4"Quinn tightened her jaw."
5"She didn’t know the victim."
6"A man, mid-thirties, dressed in"
7"He was sprawled on his"
8"His eyes were open, glassy,"
9"Detective Constable Patel, a younger"
10"Quinn didn’t answer."
11"She walked a slow, deliberate"
12"The worn leather of her"
13"She stopped at the victim’s"
14"Patel looked up from his"
15"She pointed at the victim’s"
16"She looked at Patel, her"
17"Patel’s pen stopped moving."
18"He cleared his throat."
19"Quinn crouched, her knees popping"
ratio0.772
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences101
matches(empty)
ratio0
23.81% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences42
technicalSentenceCount7
matches
0"The air in the abandoned Tube station tasted of rust and old copper, a metallic tang that settled on the back of Harlow Quinn’s tongue like a bad penny."
1"The overhead lights, jury-rigged to a portable generator, cast long, skeletal shadows that swayed with the hum of the machine."
2"He was sprawled on his back, one arm flung out as if reaching for the platform’s edge, the other pinned beneath his ribs."
3"A thin layer of grime and powdered concrete covered the platform, the kind of filth that accumulated in a place no one cleaned."
4"The light carved through the dark, illuminating a stack of old wooden crates, a collapsed sign advertising a brand of cigarettes that had been dead before Quinn…"
5"It was made of dark, age-stained wood, with a handle that looked like a human molar."
6"And the door in the wall, the chalk circle, the bone token—they were fragments of something larger, something that ran beneath the city like a vein of black ice…"
25.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags15
uselessAdditionCount3
matches
0"She looked, her brown eyes flat"
1"Quinn crouched, her knees popping"
2"She walked, her footsteps echoing in the hollow chamber"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount1
fancyTags
0"Patel whispered (whisper)"
dialogueSentences29
tagDensity0.207
leniency0.414
rawRatio0.167
effectiveRatio0.069
82.8023%