Run: 2026-02-20-01KHY83ZEC4A5B537QZYWEX39S

Run Details

Duration:
7.3s
Cost:
$0.000336
Provider:
Mistral

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 exhaled damp, stale air as Detective Harlow Quinn stepped over the jagged remnants of a collapsed concrete slab. Her boots—polished black leather, scuffed at the toes from years of wear—made little sound on the uneven floor, the sound swallowed by the hum of unseen pipes and the distant drip of water. The station’s name, *Camden Road*, was barely visible on the peeling sign above the entrance, its letters faded to nothing but suggestion. This wasn’t a place meant to be seen. It was a place meant to be *found*. Eva Kowalski stood near the far wall, her round glasses reflecting the dim glow of a flickering LED strip strung along the ceiling. She tucked a curl of red hair behind her left ear, a nervous habit Quinn had learned to recognize. Eva’s satchel was slung over one shoulder, its leather worn smooth from years of use. She didn’t look up as Quinn approached, her fingers tracing the edge of a small, brass-bound notebook. “You’re late,” Eva said, her voice low. “The forensics team left an hour ago.” Quinn exhaled through her nose, a sound that was equal parts frustration and amusement. “And you’re still here.” “Someone had to make sure they didn’t miss anything.” Quinn’s sharp jaw tightened. She knew why Eva was here. The case had been marked *high priority* the moment the body was found—an undercover cop, gutted like a fish, his uniform torn away to reveal the sigils carved into his ribs. But the real reason Eva was lingering was the same reason Quinn had come: the evidence didn’t make sense. She crouched beside the body, her gloved hands hovering just above the cold, still flesh. The man—DS Morris, her partner—had been dead for three days, but the rigor had set in too quickly, the decomposition stunted. Unnatural. The coroner’s report would say it was due to exposure, but Quinn had seen enough to know better. The air here was thick with something else, something *wrong*. “You think it’s the same thing as last time,” Eva murmured, following her gaze. Quinn didn’t answer. She didn’t have to. Eva had been digging into the same leads she had—occult circles, forbidden texts, the kind of things that made the Metropolitan Police’s higher-ups nervous. The Veil Market, they called it. A place that didn’t exist on any map, but where things did. She reached into her coat pocket and pulled out the Veil Compass, its brass casing cold against her palm. The needle spun lazily before settling, pointing not at the body, but at the far corner of the station, where the walls seemed to breathe in the dark. A rift, maybe. Or something worse. “You’re not supposed to be here,” a voice said from behind them. Quinn turned. Detective Rourke stood in the doorway, his face a mask of professional concern, though his eyes flickered with something else—distrust, maybe, or fear. He was the senior investigator on the case, the one who had called it in. The one who had *known* about the sigils before the body was even found. “And you’re not supposed to be letting civilians wander around crime scenes,” Quinn replied, her voice smooth, her tone unyielding. Rourke’s jaw clenched. “This isn’t a civilian. She’s part of the task force.” Eva scoffed, but Quinn didn’t look at her. She knew Rourke was lying. Eva wasn’t on any official task force. She wasn’t even *supposed* to be here. “Then why is she the one who found the body?” Quinn asked. Rourke hesitated. “She was… assisting.” “Assisting how?” Rourke’s eyes darted to the body, then back to Quinn. “She’s an expert in occult texts. We thought she might recognize something.” Quinn’s fingers tightened around the Veil Compass. She knew what Rourke wasn’t saying. Eva had found the body because she had been *looking* for it. Because she had been digging into the same things Quinn had been. “You’re hiding something,” Quinn said. Rourke’s expression darkened. “I’m hiding nothing.” “Then explain this.” Quinn gestured to the body. “Morris wasn’t just killed. He was *marked*. And not by some street gang or cult. These sigils—” she traced a finger over the carved lines on Morris’s ribs—“they’re not just symbols. They’re a *language*. And they’re pointing somewhere.” Eva finally looked up, her green eyes sharp behind her glasses. “The Veil Market.” Quinn’s gaze snapped to her. “You knew.” Eva shrugged. “I suspected. But this—” she gestured to the body—“this is different. This is *personal*.” Rourke stepped forward, his voice low. “You’re both off the case.” Quinn didn’t move. “I’m not taking orders from you, Rourke. Not after what happened last time.” Rourke’s face paled. He knew. He had to. The last case—the one that had gotten Morris killed—had been buried. But Quinn hadn’t forgotten. She had seen the way the evidence had been *altered*. She had seen the way the higher-ups had looked when she had asked too many questions. “You’re playing with fire,” Rourke warned. Quinn met his gaze. “I’ve been playing with fire for years. And I’m not stopping now.” She turned back to the body, her mind already racing. The sigils on Morris’s ribs weren’t just markings. They were coordinates. And if she followed them, she might find out who had really killed her partner. Eva was already moving, her satchel slung over her shoulder as she stepped closer to the rift in the wall—the one the Veil Compass was pointing to. The air around it shimmered, warped, like heat rising from pavement. Something was on the other side. Something that wanted to be found. Quinn holstered her pistol and pulled out the compass again. The needle spun once more, then settled. Straight ahead. “You coming?” Eva asked, her voice barely audible over the hum of the station. Quinn didn’t answer. She didn’t have to. She was already moving.
created_at"2026-02-20T19:23:39.867Z" 2/20/2026, 7:23:39 PM
model"mistralai/ministral-8b-2512"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency229
moderation_latency(null)
generation_time6872
tokens_prompt923
tokens_completion1583
native_tokens_prompt875
native_tokens_completion1368
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached832
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"
usage0.00033645
router(null)
provider_responses
0
endpoint_id"c85d26e1-1e0c-449b-9775-2afce7ae510b"
id"92b9e482fde94f85aa37d3996aaeecbc"
is_byokfalse
latency229
model_permaslug"mistralai/ministral-8b-2512"
provider_name"Mistral"
status200
api_type"completions"
id"gen-1771615419-vDHzpo2BeA3MRyd5w4sE"
upstream_id"92b9e482fde94f85aa37d3996aaeecbc"
total_cost0.00033645
cache_discount(null)
upstream_inference_cost0
provider_name"Mistral"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags11
adverbTagCount0
adverbTags(empty)
dialogueSentences24
tagDensity0.458
leniency0.917
rawRatio0
effectiveRatio0
84.85% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount990
totalAiIsmAdverbs3
found
0
adverb"quickly"
count1
1
adverb"lazily"
count1
2
adverb"really"
count1
highlights
0"quickly"
1"lazily"
2"really"
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)
69.70% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount990
totalAiIsms6
found
0
word"tracing"
count1
1
word"flickered"
count1
2
word"jaw clenched"
count1
3
word"traced"
count1
4
word"racing"
count1
5
word"shimmered"
count1
highlights
0"tracing"
1"flickered"
2"jaw clenched"
3"traced"
4"racing"
5"shimmered"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"jaw/fists clenched"
count1
highlights
0"jaw clenched"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences82
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences82
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences95
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen38
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans11
markdownWords13
totalWords977
ratio0.013
matches
0"Camden Road"
1"found"
2"high priority"
3"wrong"
4"known"
5"supposed"
6"looking"
7"marked"
8"language"
9"personal"
10"altered"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions12
unquotedAttributions1
matches
0"The Veil Market, they called it."
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions68
wordCount818
uniqueNames14
maxNameDensity2.81
worstName"Quinn"
maxWindowNameDensity5.5
worstWindowName"Quinn"
discoveredNames
Tube1
Camden2
Detective2
Harlow1
Quinn23
Kowalski1
Eva14
Morris4
Metropolitan1
Police1
Veil4
Market1
Compass3
Rourke10
persons
0"Harlow"
1"Quinn"
2"Kowalski"
3"Eva"
4"Morris"
5"Police"
6"Rourke"
places
0"Camden"
globalScore0.094
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences52
glossingSentenceCount0
matches(empty)
97.65% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords1.024
wordCount977
matches
0"not at the body, but at the far corner of the station"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences95
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs36
mean27.14
std22.62
cv0.834
sampleLengths
095
174
214
318
49
560
665
714
849
953
1012
1154
1220
1313
1427
1512
165
172
1822
1937
205
216
2246
2314
247
2516
2611
2716
2849
296
3016
3136
3250
3319
3414
3511
92.43% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences82
matches
0"been marked"
1"was found"
2"been buried"
3"been *altered"
29.06% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs156
matches
0"was lingering"
1"was lying"
2"wasn’t saying"
3"was pointing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount12
semicolonCount0
flaggedSentences9
totalSentences95
ratio0.095
matches
0"Her boots—polished black leather, scuffed at the toes from years of wear—made little sound on the uneven floor, the sound swallowed by the hum of unseen pipes and the distant drip of water."
1"The case had been marked *high priority* the moment the body was found—an undercover cop, gutted like a fish, his uniform torn away to reveal the sigils carved into his ribs."
2"The man—DS Morris, her partner—had been dead for three days, but the rigor had set in too quickly, the decomposition stunted."
3"Eva had been digging into the same leads she had—occult circles, forbidden texts, the kind of things that made the Metropolitan Police’s higher-ups nervous."
4"Detective Rourke stood in the doorway, his face a mask of professional concern, though his eyes flickered with something else—distrust, maybe, or fear."
5"“Morris wasn’t just killed. He was *marked*. And not by some street gang or cult. These sigils—” she traced a finger over the carved lines on Morris’s ribs—“they’re not just symbols. They’re a *language*. And they’re pointing somewhere.”"
6"“I suspected. But this—” she gestured to the body—“this is different. This is *personal*.”"
7"The last case—the one that had gotten Morris killed—had been buried."
8"Eva was already moving, her satchel slung over her shoulder as she stepped closer to the rift in the wall—the one the Veil Compass was pointing to."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount807
adjectiveStacks1
stackExamples
0"small, brass-bound notebook."
adverbCount26
adverbRatio0.0322180916976456
lyAdverbCount5
lyAdverbRatio0.006195786864931847
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences95
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences95
mean10.28
std7.79
cv0.758
sampleLengths
024
133
222
38
48
523
619
715
817
97
107
1114
124
139
144
156
1631
1719
1815
1921
201
2118
2210
2314
243
254
2624
276
2812
2919
3028
313
323
3312
342
3523
3615
3714
3820
393
4010
418
425
437
447
4512
462
473
482
4910
44.74% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.2631578947368421
totalSentences95
uniqueOpeners25
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences73
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences73
matches
0"Her boots—polished black leather, scuffed"
1"It was a place meant"
2"She tucked a curl of"
3"She didn’t look up as"
4"She knew why Eva was"
5"She crouched beside the body,"
6"She didn’t have to."
7"She reached into her coat"
8"He was the senior investigator"
9"She knew Rourke was lying."
10"She wasn’t even *supposed* to"
11"She knew what Rourke wasn’t"
12"she traced a finger over"
13"she gestured to the body—“this"
14"He had to."
15"She had seen the way"
16"She had seen the way"
17"She turned back to the"
18"They were coordinates."
19"She didn’t have to."
ratio0.288
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount68
totalSentences73
matches
0"The abandoned Tube station beneath"
1"Her boots—polished black leather, scuffed"
2"The station’s name, *Camden Road*,"
3"This wasn’t a place meant"
4"It was a place meant"
5"Eva Kowalski stood near the"
6"She tucked a curl of"
7"Eva’s satchel was slung over"
8"She didn’t look up as"
9"Eva said, her voice low"
10"Quinn exhaled through her nose,"
11"Quinn’s sharp jaw tightened."
12"She knew why Eva was"
13"The case had been marked"
14"She crouched beside the body,"
15"The man—DS Morris, her partner—had"
16"The coroner’s report would say"
17"The air here was thick"
18"Eva murmured, following her gaze"
19"Quinn didn’t answer."
ratio0.932
68.49% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences73
matches
0"Because she had been digging"
ratio0.014
99.57% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences33
technicalSentenceCount2
matches
0"Quinn exhaled through her nose, a sound that was equal parts frustration and amusement."
1"Eva had been digging into the same leads she had—occult circles, forbidden texts, the kind of things that made the Metropolitan Police’s higher-ups nervous."
34.09% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags11
uselessAdditionCount2
matches
0"Eva said, her voice low"
1"Eva asked, her voice barely audible over the hum of the station"
66.67% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags8
fancyCount2
fancyTags
0"Eva murmured (murmur)"
1"Rourke warned (warn)"
dialogueSentences24
tagDensity0.333
leniency0.667
rawRatio0.25
effectiveRatio0.167
76.0411%