Run: 2026-02-17-01KHMMGM4AY6YBG2TG5ZMKY8M5

Run Details

Duration:
49.5s
Cost:
$0.001801
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 ducked under the caution tape stretched across the Entrance of the abandoned tube station, her worn leather watch catching thetorchlight The brass compass in her hand pointed straight ahead. She'd followed it's needle through the winding streets of Camden only to find a crime scene where there shouldn't be one. This was no ordinary murder. The victim lay sprawled across the grimy tiles, limbs twisted at unnatural angles. But it was the symbols carved into his flesh, still weeping blood, that made Quinn's skin crawl. "What have we got?" she asked, flashing her badge at the uniformed officer guarding the scene. He looked green around the gills. "Sir, I- I've never seen anything like this before." "Join the club, Constable," she replied, kneeling beside the body. She pulled on a pair of latex gloves, careful not to disturb the evidence. The sigils were too precise to be the work of a madman. No, this was deliberate. Ritualistic, even. "Detective Quinn," a voice called from the shadows. "I should've known you'd beat me here." Quinn looked up to see her partner, Eva Kowalski, picking her way across the tracks. Her round glasses reflected the flickering light, and her worn leather satchel bounced against her hip with each step. "Eva, tell me you see this too," Quinn said, gesturing at the body. "This isn't just some back-alley stabbing." Eva crouched beside her, tucking a strand of curly red hair behind her ear as she studied the corpse. "No, it's not," she agreed. "These symbols... I've seen them before. In the restricted archives at the museum." Quinn raised an eyebrow. "Do tell." "They're runes," Eva explained, pointing to each in turn. "A binding circle, a summoning sigil... And this one, the one over his heart? That's a blood curse." "A what now?" The uniformed officer piped up, eyes wide. "Did you say 'curse'? As in, magic?" Quinn shot him a sharp look. "Not a word of this leaves the scene, Constable. Understood?" He swallowed hard and nodded. "Yes, ma'am." "But why here?" Quinn mused aloud, turning to survey the station platform. "An abandoned tube station in Camden... It's a far cry from the usual supernatural haunts." "Maybe that's the point," Eva murmured, pulling a tome from her satchel and flipping through the pages. "I've been researching this place... There are whispers of a black market that operates beneath the city, moving locations with every full moon." "The Veil Market," Quinn supplied, the pieces clicking into place. "Where one can buy anything from enchanted goods to forbidden knowledge." "And maybe something far more dangerous," Eva added grimly. Quinn tapped the compass in her palm, watching the needle spin erratically. "This led me here... But it's not pointing to a specific item. It's picking up on a general disturbance." She frowned at the body. "Almost like the very air is charged with power." "So, what now?" Eva asked, snapping her book shut. "We can't exactly canvass a market that doesn't exist in any official capacity." "No, but we can track its customers," Quinn said, a plan forming in her mind. "A place like that... It'll have regulars. Suppliers. Someone will know something." She stood, stripping off her gloves with a snap. "Constable, I want this body on a slab at the coroner's office within the hour. Seal the scene and post a guard at the entrance." "And where will you be?" He asked. Quinn shared a glance with Eva. "Following a hunch," she replied cryptically. As they stepped out into the crisp night air, Quinn couldn't shake the feeling that they were being watched. She scanned the shadows, her hand resting on the butt of her gun. "You feel it too," Eva said, her voice low. "Like a prickling on the back of my neck," Quinn confirmed. "Whoever-- whatever-- did this... They're still out there." "And we're going to find them," Eva said, her tone resolute. Quinn just hoped they found them before anyone else ended up dead. In a city where magic was real and monsters lurked in plain sight, anything was possible. And it was her job to keep the shadows at bay, one case at a time.
created_at"2026-02-17T01:48:43.202155+00:00" 2/17/2026, 1:48:43 AM
model"nousresearch/hermes-3-llama-3.1-405b"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency429
moderation_latency(null)
generation_time49423
tokens_prompt958
tokens_completion1072
native_tokens_prompt849
native_tokens_completion952
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"
usage0.001801
router(null)
provider_responses
0
id"cmpl-312ca2fbeaae4cbba09bfc84dd7b9e4b"
status200
is_byokfalse
latency82
endpoint_id"3280e8f8-0960-400c-8284-2e03a0bcb446"
provider_name"DeepInfra"
model_permaslug"nousresearch/hermes-3-llama-3.1-405b"
api_type"completions"
id"gen-1771292872-dm8tKkkdAcmPTejC2fq1"
upstream_id"cmpl-312ca2fbeaae4cbba09bfc84dd7b9e4b"
total_cost0.001801
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
50.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags20
adverbTagCount3
adverbTags
0"Quinn mused aloud [aloud]"
1"Eva added grimly [grimly]"
2"she replied cryptically [cryptically]"
dialogueSentences36
tagDensity0.556
leniency1
rawRatio0.15
effectiveRatio0.15
92.84% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount698
totalAiIsmAdverbs1
found
0
adverb"very"
count1
highlights
0"very"
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)
78.51% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount698
totalAiIsms3
found
0
word"eyebrow"
count1
1
word"charged"
count1
2
word"scanned"
count1
highlights
0"eyebrow"
1"charged"
2"scanned"
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
narrationSentences43
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences43
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences59
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen32
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords698
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions18
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions27
wordCount411
uniqueNames6
maxNameDensity3.41
worstName"Quinn"
maxWindowNameDensity5.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn14
Entrance1
Camden1
Eva9
Kowalski1
persons
0"Harlow"
1"Quinn"
2"Eva"
3"Kowalski"
places
0"Entrance"
globalScore0
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences30
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount698
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences59
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs27
mean25.85
std13.83
cv0.535
sampleLengths
053
135
231
342
449
519
637
76
827
917
1016
117
1227
1340
1421
159
1645
1722
1827
1934
207
2112
2232
239
2419
2511
2644
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences43
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs86
matches
0"were being"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences59
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount411
adjectiveStacks0
stackExamples(empty)
adverbCount9
adverbRatio0.021897810218978103
lyAdverbCount5
lyAdverbRatio0.012165450121654502
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences59
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences59
mean11.83
std6.16
cv0.521
sampleLengths
032
121
25
313
417
516
66
79
810
914
1012
114
122
138
1422
1519
1613
176
1819
195
2013
214
222
239
2418
2510
267
276
2810
295
302
3112
3215
3317
3423
3510
3611
379
3812
3924
409
419
4213
4315
4412
459
4625
477
486
496
98.31% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.6101694915254238
totalSentences59
uniqueOpeners36
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences39
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount11
totalSentences39
matches
0"She'd followed it's needle through"
1"she asked, flashing her badge"
2"He looked green around the"
3"she replied, kneeling beside the"
4"She pulled on a pair"
5"Her round glasses reflected the"
6"He swallowed hard and nodded."
7"She frowned at the body"
8"She stood, stripping off her"
9"she replied cryptically"
10"She scanned the shadows, her"
ratio0.282
24.10% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount34
totalSentences39
matches
0"Detective Harlow Quinn ducked under"
1"She'd followed it's needle through"
2"This was no ordinary murder."
3"The victim lay sprawled across"
4"she asked, flashing her badge"
5"He looked green around the"
6"she replied, kneeling beside the"
7"She pulled on a pair"
8"The sigils were too precise"
9"a voice called from the"
10"Quinn looked up to see"
11"Her round glasses reflected the"
12"Quinn said, gesturing at the"
13"Eva crouched beside her, tucking"
14"Quinn raised an eyebrow."
15"Eva explained, pointing to each"
16"The uniformed officer piped up,"
17"Quinn shot him a sharp"
18"He swallowed hard and nodded."
19"Quinn mused aloud, turning to"
ratio0.872
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences39
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences14
technicalSentenceCount0
matches(empty)
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags20
uselessAdditionCount6
matches
0"officer piped up, eyes wide"
1"Quinn mused aloud, turning to survey the station platform"
2"Quinn supplied, the pieces clicking into place"
3"Quinn said, a plan forming in her mind"
4"Eva said, her voice low"
5"Eva said, her tone resolute"
11.11% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags15
fancyCount5
fancyTags
0"she agreed (agree)"
1"Eva explained (explain)"
2"Eva murmured (murmur)"
3"Eva added grimly (add)"
4"Quinn confirmed (confirm)"
dialogueSentences36
tagDensity0.417
leniency0.833
rawRatio0.333
effectiveRatio0.278
78.4955%