Run: 2026-02-17-01KHNFTQCNJSKBASRDYR6Z3P9F

Run Details

Duration:
35.4s
Cost:
$0.001741
Provider:
Novita

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 was thick with the scent of damp stone and something metallic underneath—blood, maybe, or rust from the old tracks. Detective Harlow Quinn stepped carefully over the threshold, her boots crunching on broken glass and scattered bone tokens. The Veil Market was supposed to be empty at this hour, its stalls packed up, its vendors long gone to wherever creatures of the night went when the sun rose. But the call had come in at 5:47 AM: a body, unnatural causes, no ID. Quinn’s sharp jaw tightened as she surveyed the scene. The market’s usual eerie glow of witchlight had dimmed to near-darkness, leaving only the flicker of her flashlight to cut through the shadows. The body lay sprawled near what had once been a ticket booth, now repurposed as an apothecary stand. A man, late thirties, dressed in a suit that looked too expensive for this place. No visible wounds. No blood. Just... gone, like someone had snuffed out a candle. "Quinn." She turned. Eva Kowalski stood a few feet away, her round glasses catching the dim light, her freckled face pale. She clutched her worn leather satchel like a shield, fingers digging into the strap. "You shouldn’t be here," Quinn said, voice low. Eva tucked a curl of red hair behind her ear, a nervous habit. "I was already in the archives when they called you. Thought you might need... context." Quinn exhaled through her nose. Eva had a way of showing up where she wasn’t wanted, armed with knowledge no one else had. It was useful. It was also infuriating. She crouched beside the body, leather watch creaking against her wrist as she pulled on gloves. "No signs of violence," she muttered, more to herself than Eva. "No defensive wounds. He didn’t fight. So either he knew his killer, or he never saw them coming." Eva knelt beside her, careful not to touch anything. "Or it wasn’t a person." Quinn shot her a look. Eva met her gaze, unflinching. "You’ve seen the Market. You know what trades here. This isn’t a normal crime scene." Quinn’s fingers brushed the man’s lapel, finding something stiff tucked inside his jacket. She pulled it free—a small brass compass, its face etched with sigils, the needle spinning lazily despite the stillness of the air. Eva sucked in a breath. "That’s a Veil Compass." Quinn turned it over in her palm. The verdigris on the casing was old, the craftsmanship precise. "What’s it for?" "Finding rifts. Portals. Places where the boundaries between worlds are thin." Eva’s voice dropped. "If he had this, he was looking for something. Or running from it." Quinn’s mind raced. The body was too clean. No signs of a struggle, no evidence of a weapon. But the compass... that was out of place. A tool for navigating the supernatural, clutched by a dead man in a suit. She stood abruptly, scanning the ground. "There’s no blood, but look—" She pointed to the dust near the body. The faintest scuff marks, like something had been dragged. Not toward the exits, but deeper into the station, toward the old tracks. Eva followed her gaze. "You think something took him?" Quinn didn’t answer. She followed the trail, her flashlight beam cutting through the dark. The tracks were empty, the tunnels stretching into blackness. But there, just beyond the edge of the platform—a shimmer in the air, like heat off pavement. She reached for her sidearm out of habit, though she doubted bullets would help here. Eva grabbed her arm. "Don’t. If that’s a rift, you don’t know what’s on the other side." Quinn shook her off. "He didn’t die here. He was dumped. Which means someone—or something—wanted us to find him." Eva’s fingers tightened on her satchel. "Or they wanted us to follow." The compass in Quinn’s hand suddenly jerked, the needle snapping straight toward the distortion in the air. A cold draft curled up from the tracks, carrying the scent of ozone and something older, something sharp as a blade. Quinn’s pulse thudded in her throat. She had spent eighteen years solving cases that made sense. But this—this was something else. And Eva, with her books and her sigils and her too-knowing eyes, was the only one who seemed to understand. Quinn exhaled. "Tell me what we’re dealing with." Eva’s mouth pressed into a thin line. "Nothing good." The needle of the compass trembled. The air rippled. And somewhere in the dark, something watched back.
created_at"2026-02-17T09:45:51.19221+00:00" 2/17/2026, 9:45:51 AM
model"deepseek/deepseek-chat-v3"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1340
moderation_latency(null)
generation_time35245
tokens_prompt923
tokens_completion1182
native_tokens_prompt856
native_tokens_completion1076
native_tokens_completion_images0
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.0017412
router(null)
provider_responses
0
id"d080dbebf1aeb4aa80b4403f7e85bf65"
status200
is_byokfalse
latency1340
endpoint_id"cefb5a1e-9fea-4496-9a64-4e1b11a7cc8c"
provider_name"Novita"
model_permaslug"deepseek/deepseek-chat-v3"
api_type"completions"
id"gen-1771321515-UOPmIDr56ao6fW1sy5SM"
upstream_id"d080dbebf1aeb4aa80b4403f7e85bf65"
total_cost0.0017412
cache_discount(null)
upstream_inference_cost0
provider_name"Novita"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags4
adverbTagCount0
adverbTags(empty)
dialogueSentences18
tagDensity0.222
leniency0.444
rawRatio0
effectiveRatio0
80.21% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount758
totalAiIsmAdverbs3
found
0
adverb"carefully"
count1
1
adverb"lazily"
count1
2
adverb"suddenly"
count1
highlights
0"carefully"
1"lazily"
2"suddenly"
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)
53.83% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount758
totalAiIsms7
found
0
word"flicker"
count1
1
word"etched"
count1
2
word"raced"
count1
3
word"navigating"
count1
4
word"scanning"
count1
5
word"pulse"
count1
6
word"trembled"
count1
highlights
0"flicker"
1"etched"
2"raced"
3"navigating"
4"scanning"
5"pulse"
6"trembled"
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
narrationSentences62
matches(empty)
96.77% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences62
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)
analyzedSentences76
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen30
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords750
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
33.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions31
wordCount605
uniqueNames7
maxNameDensity2.15
worstName"Quinn"
maxWindowNameDensity4
worstWindowName"Eva"
discoveredNames
Tube1
Harlow1
Quinn13
Veil1
Market1
Kowalski1
Eva13
persons
0"Harlow"
1"Quinn"
2"Kowalski"
3"Eva"
places(empty)
globalScore0.426
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences39
glossingSentenceCount0
matches(empty)
66.67% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords1.333
wordCount750
matches
0"Not toward the exits, but deeper into the station, toward the old tracks"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences76
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs31
mean24.19
std20.1
cv0.831
sampleLengths
089
179
21
334
48
528
630
745
814
95
1020
1135
129
1320
1427
1540
1641
179
1840
1915
2017
2119
2212
2338
2421
2520
268
279
286
293
308
93.94% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences62
matches
0"was supposed"
1"been dragged"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs100
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences4
totalSentences76
ratio0.053
matches
0"The air in the abandoned Tube station was thick with the scent of damp stone and something metallic underneath—blood, maybe, or rust from the old tracks."
1"She pulled it free—a small brass compass, its face etched with sigils, the needle spinning lazily despite the stillness of the air."
2"But there, just beyond the edge of the platform—a shimmer in the air, like heat off pavement."
3"But this—this was something else."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount611
adjectiveStacks0
stackExamples(empty)
adverbCount20
adverbRatio0.03273322422258593
lyAdverbCount6
lyAdverbRatio0.009819967266775777
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences76
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences76
mean9.87
std6.48
cv0.657
sampleLengths
026
118
230
315
49
523
618
715
83
92
101
118
121
132
1418
1514
168
1713
1815
195
2018
213
224
2316
2411
2518
269
275
285
295
3015
3113
3222
335
344
357
3610
373
3814
3913
403
415
4210
433
445
4514
466
4713
489
4913
48.25% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.32894736842105265
totalSentences76
uniqueOpeners25
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences58
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount11
totalSentences58
matches
0"She clutched her worn leather"
1"It was useful."
2"It was also infuriating."
3"She crouched beside the body,"
4"she muttered, more to herself"
5"She pulled it free—a small"
6"She stood abruptly, scanning the"
7"She pointed to the dust"
8"She followed the trail, her"
9"She reached for her sidearm"
10"She had spent eighteen years"
ratio0.19
46.21% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount48
totalSentences58
matches
0"The air in the abandoned"
1"Detective Harlow Quinn stepped carefully"
2"The Veil Market was supposed"
3"Quinn’s sharp jaw tightened as"
4"The market’s usual eerie glow"
5"The body lay sprawled near"
6"A man, late thirties, dressed"
7"Eva Kowalski stood a few"
8"She clutched her worn leather"
9"Quinn said, voice low"
10"Eva tucked a curl of"
11"Quinn exhaled through her nose."
12"Eva had a way of"
13"It was useful."
14"It was also infuriating."
15"She crouched beside the body,"
16"she muttered, more to herself"
17"Eva knelt beside her, careful"
18"Quinn shot her a look."
19"Eva met her gaze, unflinching."
ratio0.828
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences58
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences25
technicalSentenceCount0
matches(empty)
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount2
matches
0"Quinn said, voice low"
1"she muttered, more to herself than Eva"
94.44% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount1
fancyTags
0"she muttered (mutter)"
dialogueSentences18
tagDensity0.111
leniency0.222
rawRatio0.5
effectiveRatio0.111
77.1218%