Run: 2026-02-17-01KHNF5P2HFST1NMVVDNKJ8YVH

Run Details

Duration:
27.8s
Cost:
$0.001455
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 abandoned Tube station beneath Camden smelled of damp concrete and something metallic, like old blood. Detective Harlow Quinn stepped carefully over the threshold, her boots crunching on broken tiles. The dim emergency lighting cast long shadows across the platform, illuminating patches of graffiti and the occasional discarded bone token—proof this place had once been the infamous Veil Market. Eva Kowalski stood near the edge of the platform, her round glasses reflecting the flickering light as she scribbled notes in a battered journal. Her satchel slumped against her hip, stuffed with books and loose papers. She tucked a curl of red hair behind her ear—twice—before noticing Quinn’s arrival. "You’re late," Eva said, not looking up. Quinn checked her worn leather watch. "Traffic." Eva snorted. "Traffic. Right." Quinn ignored the jab, scanning the scene. The body lay sprawled near the tracks, limbs twisted at unnatural angles. Male, mid-forties, dressed in what looked like a tailor-made suit—expensive, but rumpled now, stained with something dark and viscous. Not blood. Something thicker. "Who found him?" Quinn crouched beside the corpse, careful not to disturb the chalk sigils someone had hastily drawn around it. "Market security," Eva said. "If you can call it that. They don’t exactly file incident reports." Quinn frowned. The Veil Market moved locations every full moon, and its patrons weren’t the type to cooperate with the Met. "What do we know?" Eva hesitated, then flipped her journal around to show Quinn a sketch of the sigils. "These are containment marks. Someone was trying to keep something *in*." Quinn’s jaw tightened. Three years ago, she’d seen marks like these at another crime scene—one that had ended with her partner dead and no answers. She forced herself to focus. "Cause of death?" Eva adjusted her glasses. "No visible wounds. No signs of struggle. But look at his hands." Quinn did. The man’s fingers were curled inward, nails blackened as if scorched. She reached for her flashlight, clicking it on. The beam illuminated something glinting near his throat—a small brass compass, its verdigris patina catching the light. "That wasn’t in the initial report," Eva said sharply. Quinn picked it up carefully. The needle spun wildly before settling, pointing not north, but toward the tunnel’s dark mouth. The casing was etched with sigils—protective ones, if she remembered Eva’s ramblings correctly. "Veil Compass," Eva breathed. "They’re rare. Only a Shade could’ve made this." Quinn turned it over in her palm. "So our victim was looking for something supernatural." Eva shook her head. "Or running from it." The air in the station shifted—a whisper of movement in the shadows. Quinn’s hand went to her sidearm on instinct, but there was nothing there. Just the flicker of the lights, the distant drip of water. Eva didn’t seem to notice. She was too busy flipping through her journal, muttering under her breath. "The containment marks… they’re not just for keeping things in. They’re for keeping things *out*." Quinn stood, pocketing the compass. "Meaning?" Eva looked up, her green eyes wide behind her glasses. "Meaning whatever killed him wasn’t human. And it might still be here." A cold draft snaked through the station, carrying the scent of ozone and something older, darker. Quinn’s watch ticked loudly against her wrist. She exhaled. "We need to seal this place. Now." Eva opened her mouth to argue, but the lights flickered again—this time, they didn’t come back on. In the sudden dark, something moved. Quinn drew her weapon. "Eva. *Move.*" The shadows answered.
created_at"2026-02-17T09:34:14.215713+00:00" 2/17/2026, 9:34:14 AM
model"deepseek/deepseek-chat-v3"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2131
moderation_latency(null)
generation_time27739
tokens_prompt923
tokens_completion989
native_tokens_prompt856
native_tokens_completion856
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"
usage0.0014552
router(null)
provider_responses
0
id"5ec63e47d0db51b4bbb70359abb97e4d"
status200
is_byokfalse
latency2131
endpoint_id"cefb5a1e-9fea-4496-9a64-4e1b11a7cc8c"
provider_name"Novita"
model_permaslug"deepseek/deepseek-chat-v3"
api_type"completions"
id"gen-1771320825-Ws0kOLHwEcUHqRh1vDQB"
upstream_id"5ec63e47d0db51b4bbb70359abb97e4d"
total_cost0.0014552
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
totalTags5
adverbTagCount1
adverbTags
0"Eva said sharply [sharply]"
dialogueSentences20
tagDensity0.25
leniency0.5
rawRatio0.2
effectiveRatio0.1
74.62% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount591
totalAiIsmAdverbs3
found
0
adverb"carefully"
count2
1
adverb"sharply"
count1
highlights
0"carefully"
1"sharply"
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)
49.24% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount591
totalAiIsms6
found
0
word"scanning"
count1
1
word"glinting"
count1
2
word"etched"
count1
3
word"whisper"
count1
4
word"flicker"
count1
5
word"flickered"
count1
highlights
0"scanning"
1"glinting"
2"etched"
3"whisper"
4"flicker"
5"flickered"
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
narrationSentences48
matches(empty)
53.57% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences48
filterMatches
0"watch"
hedgeMatches
0"seem to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences63
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen30
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans3
markdownWords3
totalWords580
ratio0.005
matches
0"in"
1"out"
2"Move."
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions37
wordCount463
uniqueNames9
maxNameDensity3.24
worstName"Quinn"
maxWindowNameDensity4.5
worstWindowName"Quinn"
discoveredNames
Tube1
Camden1
Harlow1
Quinn15
Veil2
Market2
Kowalski1
Eva13
Met1
persons
0"Camden"
1"Harlow"
2"Quinn"
3"Market"
4"Kowalski"
5"Eva"
places(empty)
globalScore0
windowScore0.167
63.79% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences29
glossingSentenceCount1
matches
0"looked like a tailor-made suit—expensive"
27.59% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords1.724
wordCount580
matches
0"not north, but toward the tunnel’s dark mouth"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences63
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs28
mean20.71
std14.58
cv0.704
sampleLengths
059
149
27
37
44
542
621
716
825
926
1033
1116
1238
139
1433
1512
1615
178
1836
1932
206
2122
2223
239
2417
256
266
273
90.64% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences48
matches
0"were curled"
1"was etched"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs82
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount9
semicolonCount0
flaggedSentences8
totalSentences63
ratio0.127
matches
0"The dim emergency lighting cast long shadows across the platform, illuminating patches of graffiti and the occasional discarded bone token—proof this place had once been the infamous Veil Market."
1"She tucked a curl of red hair behind her ear—twice—before noticing Quinn’s arrival."
2"Male, mid-forties, dressed in what looked like a tailor-made suit—expensive, but rumpled now, stained with something dark and viscous."
3"Three years ago, she’d seen marks like these at another crime scene—one that had ended with her partner dead and no answers."
4"The beam illuminated something glinting near his throat—a small brass compass, its verdigris patina catching the light."
5"The casing was etched with sigils—protective ones, if she remembered Eva’s ramblings correctly."
6"The air in the station shifted—a whisper of movement in the shadows."
7"Eva opened her mouth to argue, but the lights flickered again—this time, they didn’t come back on."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount474
adjectiveStacks0
stackExamples(empty)
adverbCount17
adverbRatio0.035864978902953586
lyAdverbCount7
lyAdverbRatio0.014767932489451477
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences63
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences63
mean9.21
std6.33
cv0.688
sampleLengths
016
114
229
324
412
513
67
76
81
92
102
117
1212
1319
142
152
1621
174
1812
192
2019
214
2215
2311
243
2522
265
273
284
2912
302
3111
328
3317
349
355
3615
3713
384
398
407
418
424
434
4412
4513
4611
475
4812
4915
75.13% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.4603174603174603
totalSentences63
uniqueOpeners29
83.33% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences40
matches
0"Just the flicker of the"
ratio0.025
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount5
totalSentences40
matches
0"Her satchel slumped against her"
1"She tucked a curl of"
2"She forced herself to focus."
3"She reached for her flashlight,"
4"She was too busy flipping"
ratio0.125
10.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount36
totalSentences40
matches
0"The abandoned Tube station beneath"
1"Detective Harlow Quinn stepped carefully"
2"The dim emergency lighting cast"
3"Eva Kowalski stood near the"
4"Her satchel slumped against her"
5"She tucked a curl of"
6"Eva said, not looking up"
7"Quinn checked her worn leather"
8"Quinn ignored the jab, scanning"
9"The body lay sprawled near"
10"Quinn crouched beside the corpse,"
11"The Veil Market moved locations"
12"Eva hesitated, then flipped her"
13"Quinn’s jaw tightened."
14"She forced herself to focus."
15"Eva adjusted her glasses."
16"The man’s fingers were curled"
17"She reached for her flashlight,"
18"The beam illuminated something glinting"
19"Eva said sharply"
ratio0.9
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences40
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences22
technicalSentenceCount0
matches(empty)
25.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount1
matches
0"Eva said, not looking up"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount1
fancyTags
0"Eva breathed (breathe)"
dialogueSentences20
tagDensity0.2
leniency0.4
rawRatio0.25
effectiveRatio0.1
75.0972%