Run: 2026-02-17-01KHMPCHKPZCGSXT53XP69Z0PG

Run Details

Duration:
30.7s
Cost:
$0.002180
Provider:
DeepInfra

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
Detective Harlow Quinn descended into the abandoned Tube station, her eyes adjusting to the dim light that filtered through the makeshift marketplace. The air reeked of damp earth, decay, and the sweet tang of illicit substances. The Veil Market. She'd been trying to infiltrate this supernatural black market for months, and now, it seemed, it had come to her – in the form of a crime scene. As she navigated through the stalls, vendors and patrons alike cast her suspicious glances. Quinn's sharp jaw set in a firm line, her gaze sweeping the area with military precision. Her worn leather watch seemed to tick in time with the thrumming tension. Ahead, a cluster of uniforms and forensic suits surrounded a body. Quinn's stomach tightened – another unexplained death, another potential supernatural link to unravel. She spotted her colleague, Inspector Lee, kneeling beside the victim. "Harlow, glad you're here," Lee said, looking up as Quinn approached. "We've got a real puzzler. Victim's ID says 'Elianore Quasar,' a regular at the Market. No signs of forced entry or struggle. Just...this." Lee gestured to the body. Quinn's eyes narrowed as she took in the scene. Elianore Quasar lay on his back, eyes frozen in a permanent stare. A small, exquisite brass compass (its casing gleaming with a patina of verdigris) rested on his chest, the needle spinning lazily. Quinn's mind whirred – a Veil Compass, crafted by Shade artisans, known to point toward supernatural rifts or portals. What was it doing here? " Cause of death?" Quinn asked, her gaze roving the surrounding area. "Looks like cardiac arrest, but the ME will confirm," Lee replied, "No visible trauma, no toxins in the preliminary sweep. It's as if he just...died." Quinn's attention returned to the compass. She carefully plucked it from the victim's chest, the needle wobbling before settling – pointing toward a nearby stall, draped in tattered velvet. The vendor, a hooded figure, watched Quinn with an unblinking gaze. "I think our key to this case just walked in," Quinn murmured, tucking the compass into her pocket. Lee followed her gaze. "You think the vendor's involved? I've been talking to the other stall owners – they all seem shaken but cooperative. This one's been tight-lipped, though." "I'm not saying they're involved, not yet," Quinn said, her eyes never leaving the hooded figure. "But I do think they might know more than they're letting on. Get a team to canvass the vendors, see if anyone noticed anything unusual. I want to know what Quasar was doing here, and what he was buying." As Lee nodded and moved off to coordinate the canvassing, Quinn approached the velvet-draped stall. The vendor pushed back its hood, revealing a shock of curly red hair – Eva Kowalski, the occult researcher. Quinn's mind racing, she linked this new information to the case. "Eva Kowalski. I wouldn't have pegged you as a Veil Market vendor," Quinn said, her tone neutral. Eva's green eyes darted toward the body before returning to Quinn, a nervous habit kicking in as she tucked a stray curl behind her left ear. "Just helping out a friend, Detective. I don't actually run this stall." Quinn's gaze lingered on Eva's worn leather satchel, overflowing with books. "I see. Well, Miss Kowalski, it seems you're in a unique position to help me. Can you tell me about the victim, Elianore Quasar? What was he doing here tonight?" Eva's freckled complexion paled, but her voice remained steady. "Elianore was a...collector. He sought rare, occult texts. I might have, uh, assisted him in finding a few titles." Quinn's sharp jaw set in a firm line. "I'd like a list of those titles, Miss Kowalski. And any information you can provide about Quasar's activities tonight." As Eva hesitated, Quinn's eyes locked onto hers, her mind working overtime to piece together the evidence. The Veil Compass, the lack of forced entry or struggle, and now, Eva Kowalski's involvement – all hinted at a larger, more complex scenario. One that Quinn was determined to unravel, no matter how deep the supernatural roots might run. "Let's start with the titles, Miss Kowalski," Quinn pressed, her voice firm but controlled. "I'm listening."
created_at"2026-02-17T02:21:07.70338+00:00" 2/17/2026, 2:21:07 AM
model"nvidia/llama-3.1-nemotron-70b-instruct"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency508
moderation_latency(null)
generation_time30635
tokens_prompt968
tokens_completion1085
native_tokens_prompt848
native_tokens_completion969
native_tokens_completion_images(null)
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"
usage0.0021804
router(null)
provider_responses
0
id"cmpl-0dfe9ff16f734860a3c5129a20830f1a"
status200
is_byokfalse
latency57
endpoint_id"d2a33d30-5d41-47d3-a816-1cc067b5a7dd"
provider_name"DeepInfra"
model_permaslug"nvidia/llama-3.1-nemotron-70b-instruct"
api_type"completions"
id"gen-1771294836-ZQtaE7EPyWwhl1CH8d4V"
upstream_id"cmpl-0dfe9ff16f734860a3c5129a20830f1a"
total_cost0.0021804
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags8
adverbTagCount0
adverbTags(empty)
dialogueSentences15
tagDensity0.533
leniency1
rawRatio0
effectiveRatio0
85.49% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount689
totalAiIsmAdverbs2
found
0
adverb"lazily"
count1
1
adverb"carefully"
count1
highlights
0"lazily"
1"carefully"
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)
12.92% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount689
totalAiIsms12
found
0
word"navigated"
count1
1
word"tension"
count1
2
word"stomach"
count1
3
word"potential"
count1
4
word"unravel"
count2
5
word"gleaming"
count1
6
word"velvet"
count2
7
word"racing"
count1
8
word"complex"
count1
9
word"determined"
count1
highlights
0"navigated"
1"tension"
2"stomach"
3"potential"
4"unravel"
5"gleaming"
6"velvet"
7"racing"
8"complex"
9"determined"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes narrowed"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences37
matches(empty)
65.64% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences37
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)
analyzedSentences44
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen39
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords697
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions45
wordCount461
uniqueNames12
maxNameDensity4.34
worstName"Quinn"
maxWindowNameDensity6
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn20
Tube1
Veil3
Market1
Inspector1
Lee6
Quasar1
Compass2
Shade1
Eva6
Kowalski2
persons
0"Harlow"
1"Quinn"
2"Inspector"
3"Lee"
4"Quasar"
5"Eva"
6"Kowalski"
places(empty)
globalScore0
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences31
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount697
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences44
matches(empty)
81.17% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs19
mean36.68
std15.92
cv0.434
sampleLengths
067
143
234
339
466
512
625
740
818
929
1055
1145
1217
1338
1441
1528
1627
1757
1816
95.78% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences37
matches
0"was determined"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs81
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences6
totalSentences44
ratio0.136
matches
0"She'd been trying to infiltrate this supernatural black market for months, and now, it seemed, it had come to her – in the form of a crime scene."
1"Quinn's stomach tightened – another unexplained death, another potential supernatural link to unravel."
2"Quinn's mind whirred – a Veil Compass, crafted by Shade artisans, known to point toward supernatural rifts or portals."
3"She carefully plucked it from the victim's chest, the needle wobbling before settling – pointing toward a nearby stall, draped in tattered velvet."
4"The vendor pushed back its hood, revealing a shock of curly red hair – Eva Kowalski, the occult researcher."
5"The Veil Compass, the lack of forced entry or struggle, and now, Eva Kowalski's involvement – all hinted at a larger, more complex scenario."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount456
adjectiveStacks1
stackExamples
0"larger, more complex scenario."
adverbCount4
adverbRatio0.008771929824561403
lyAdverbCount3
lyAdverbRatio0.006578947368421052
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences44
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences44
mean15.84
std7.72
cv0.487
sampleLengths
022
114
23
328
414
516
613
711
813
910
1011
1128
129
1312
1421
1519
165
1712
1825
196
2023
2111
2218
234
2425
2516
2639
2715
2819
2911
3017
3126
3212
3311
3430
359
3619
378
3819
3917
4024
4116
4214
432
78.79% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.5
totalSentences44
uniqueOpeners22
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences36
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount4
totalSentences36
matches
0"She'd been trying to infiltrate"
1"Her worn leather watch seemed"
2"She spotted her colleague, Inspector"
3"She carefully plucked it from"
ratio0.111
43.33% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount30
totalSentences36
matches
0"Detective Harlow Quinn descended into"
1"The air reeked of damp"
2"The Veil Market."
3"She'd been trying to infiltrate"
4"Quinn's sharp jaw set in"
5"Her worn leather watch seemed"
6"Quinn's stomach tightened – another"
7"She spotted her colleague, Inspector"
8"Lee said, looking up as"
9"Lee gestured to the body"
10"Quinn's eyes narrowed as she"
11"Elianore Quasar lay on his"
12"A small, exquisite brass compass"
13"Quinn's mind whirred – a"
14"Quinn asked, her gaze roving"
15"Quinn's attention returned to the"
16"She carefully plucked it from"
17"The vendor, a hooded figure,"
18"Quinn murmured, tucking the compass"
19"Lee followed her gaze."
ratio0.833
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences36
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences22
technicalSentenceCount1
matches
0"Detective Harlow Quinn descended into the abandoned Tube station, her eyes adjusting to the dim light that filtered through the makeshift marketplace."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount3
matches
0"Quinn asked, her gaze roving the surrounding area"
1"Quinn said, her tone neutral"
2"Quinn pressed, her voice firm but controlled"
16.67% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount2
fancyTags
0"Quinn murmured (murmur)"
1"Quinn pressed (press)"
dialogueSentences15
tagDensity0.467
leniency0.933
rawRatio0.286
effectiveRatio0.267
72.4593%