Run: 2026-02-17-01KHNFNBV59JRC8SHQMH86PJE1

Run Details

Duration:
5m 52s
Cost:
$0.001048
Provider:
Phala

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 a physical weight, cold and thick with the ghosts of damp concrete and rust. The single forensic lamp, powered by a humming generator, threw stark, dancing shadows up the curved tile walls, glinting off the faded mosaics of a forgotten line. The beam of Detective Harlow Quinn’s own flashlight cut a cleaner path, a blade of white slicing through the murk. Her boot heels echoed with military precision, a sound that felt out of place in this swallowed, silent space. The body was sprawled at the edge of the platform, where the tunnel’s mouth yawned into perfect blackness. A man, mid-forties, dressed in what looked like the robes of a minor academic or a particularly earnest renfaire attendee. Quinn circled him, her face a mask of sharp, unreadable angles in the shifting light. Her left wrist, where the worn leather strap of her watch sat snugly, gave a phantom ache, a familiar herald of trouble. “Cause of death is preliminary asphyxiation, strangulation, ligature marks on the neck,” said the Medical Examiner, a young man whose voice was muffled by his mask. “But the contusions are… odd. Uniform depth, no sign of struggle on his hands. No defensive wounds.” Quinn didn’t answer. She was looking at the dead man’s right hand. It was curled into a loose fist, but between his thumb and forefinger, she could see the corner of something metallic, greenish. She knelt, the concrete cold through the knees of her trousers. With gloved fingers, she gently pried the hand open. A small brass compass lay in his palm. The casing was old, worn to a patina of verdigris, the glass face scratched but the etchings beneath still visible—odd, angular sigils that made her eyes want to slide away. The needle was not pointing north. It was quivering, pointing directly into the dark throat of the tunnel. “Bag this,” she said, her voice flat. “Full trace. I want to know every fingerprint, every fleck of dirt, going back to the smelter.” “Detective Quinn?” The voice came from the archway that led to the old ticket hall. Eva Kowalski stood there, clutching a worn leather satchel to her chest like a shield. Her round glasses reflected the forensic lamp, hiding her green eyes. Her freckled complexion looked pale in the artificial light, a stark contrast to her riot of curly red hair, which she immediately began tucking behind her left ear. “Miss Kowalski,” Quinn said, rising to her feet. “Research assistant from the British Museum. They said you’d be liaising. You know this place?” “Theoretically,” Eva said, stepping closer, her gaze flitting from the body to the compass being bagged, then to the strange, sigil-marked tiles that lined the walls. “It’s mentioned in certain… non-standard texts. A transit point. A crossroads.” “A crime scene,” Quinn corrected, her tone leaving no room for mythology. “Who was he?” “His name is Alistair Finch. He was a freelance procurer. Not of standard antiquities.” Eva took a deep breath, as if steeling herself. “He dealt in things that shouldn’t exist. He had a stall here, I’m told.” “Here?” Quinn swept her flashlight beam around the empty, derelict platform. “There’s nothing here.” “Not now,” Eva said softly. “But last night was the full moon.” The statement hung in the cold air. Quinn’s jaw tightened. DS Morris had been obsessed with lunar cycles toward the end, scribbling dates on his bedroom wall in the hospital. She pushed the memory down, a stone into deep water. “A market. An underground market. You’re saying this ‘Veil Market’ sets up in abandoned stations?” “It moves. Every full moon. You need a token to find the current location. A bone token.” Eva’s eyes drifted back to the compass evidence bag. “That… that’s a Veil Compass. Shade-made. It doesn’t point to magnetic north. It points to weak spots. Rifts.” “Rifts.” “In the fabric of things. Places where the… rules are thinner.” Eva hugged her satchel tighter. “They’re tools for navigation. For those who travel in such places.” Quinn walked over to the edge of the platform, shining her light into the tunnel. The beam was swallowed after twenty feet. The compass needle, now sealed in plastic, had been pointing this way. “So, our victim dealt in black-market supernatural curios. He was killed here, after hours, after his market packed up. Robbery?” “Nothing obvious on him was taken,” called the ME. “Wallet’s in his inner pocket, cash still there. A ring on his finger. Not a standard mugging.” Quinn turned back to the body, her mind working. No defensive wounds. Uniform ligature marks. He was strangled from behind, quickly, efficiently, by someone strong enough to overpower him without a fight. Someone he might not have seen as a threat until it was too late. Or someone he knew. “Maybe it wasn’t about taking something,” Eva offered, her voice tentative. “Maybe it was about stopping him from finding something. Or going somewhere.” Quinn’s brown eyes fixed on her. “That compass. If it points to these ‘rifts,’ and it was pointing into that tunnel…” “Then there might be one down there,” Eva finished, a mix of dread and scholarly fascination in her tone. The detective’s gaze swept the scene again, slower this time. The lack of struggle. The specific, odd item in his hand. The location, known only to a specific, secretive clientele on a specific night. The evidence was arranging itself in her mind, but the picture it formed refused to resolve into anything that belonged in a Metropolitan Police case file. “He was meeting someone,” Quinn said, thinking aloud. “After the market closed. Someone who also knew how to get in here. They came up behind him. Professional kill. But they left the compass. They left his money. They weren’t here for goods or cash.” “Information?” Eva suggested. “Or the compass itself,” Quinn countered. “But they didn’t take it. They left it in his hand.” She walked back to the body, crouching again. She looked at his face, the peaceful expression, the lack of terror. “He wasn’t afraid when he died. Or he was too surprised to be. He knew his killer. Trusted them enough to turn his back.” She stood, her movements crisp. “The killer took the token. The bone token. That’s the only thing missing that makes sense. Without it, you can’t find the next market. You can’t ask questions there. The killer isn’t just covering their tracks; they’re cutting off the avenue of inquiry at the source.” She looked at Eva. “Who else knew about this place? Specifically this location, last night?” Eva’s fingers went to her hair again. “Other vendors. Buyers with tokens. The… organizers. It’s a closed system, Detective. The kind of system that polices itself.” “And how did *you* know?” Quinn asked, her voice dropping, becoming dangerously quiet. Eva met her gaze then, and behind the glasses, Quinn saw not guilt, but a deep, weary knowledge. “Because Alistair Finch was my informant. I’ve been researching the movement of certain enchanted artifacts for the Museum’s restricted archive. He was helping me trace a provenance. I was supposed to meet him here tonight. He sent me a message yesterday. It just said, ‘The compass is singing. I’ve found the leak.’” “The leak?” “He didn’t explain. But in his world, a ‘leak’ usually means a rift that’s… growing. Becoming unstable. Or known to the wrong people.” Eva looked at the dark tunnel. “He must have come to investigate. And someone followed him. Or was already here.” Quinn stared into the blackness. The humming of the generator was the only sound. The compass needle had pointed, insistently, into that nothingness. A tool for finding what was lost, or what was hidden. Her own instincts, honed over eighteen years, were a different kind of compass, and they were spinning wildly. This wasn’t a gangland hit or a domestic murder dressed up weird. This was something else. Something that smelled like the unexplainable silence after the gunshot that killed Morris, the empty alley where the evidence should have been. “We’re going down there,” Quinn said, not as a question. “Detective, my briefing was to consult on historical context, not to—” the ME began. “Stay here, secure the scene,” Quinn interrupted. She looked at Eva. “You have a light?” Eva nodded, pulling a heavy-duty flashlight from her satchel. “Then you’re with me. You read the maps. I’ll watch the shadows.” Quinn’s tone brooked no argument. She took one last look at Alistair Finch, a man killed for knowledge in a place that didn’t exist, holding a compass that didn’t point north. The evidence didn’t add up to a clean arrest. It added up to a door, cracked open into a darker, stranger city that lived beneath the one she’d sworn to protect. And Harlow Quinn, her watch ticking softly against her wrist, had never been able to leave a door unopened.
created_at"2026-02-17T09:48:12.625046+00:00" 2/17/2026, 9:48:12 AM
model"deepseek/deepseek-v3.2-20251201"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1904
moderation_latency(null)
generation_time351753
tokens_prompt923
tokens_completion2384
native_tokens_prompt856
native_tokens_completion2043
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"
usage0.00104832
router(null)
provider_responses
0
status429
is_byokfalse
latency83
endpoint_id"4c18a672-9069-469d-9e6b-8af2300fe7b7"
provider_name"Parasail"
model_permaslug"deepseek/deepseek-v3.2-20251201"
1
status429
is_byokfalse
latency94
endpoint_id"f270e10b-1d21-4345-9e4e-662ddb5ba441"
provider_name"DeepInfra"
model_permaslug"deepseek/deepseek-v3.2-20251201"
2
id"f012063b23844ff5bbe64240a6849613"
status200
is_byokfalse
latency1904
endpoint_id"4e9fb7e9-3967-4cd4-9723-df614f9f228e"
provider_name"Phala"
model_permaslug"deepseek/deepseek-v3.2-20251201"
api_type"completions"
id"gen-1771321339-HB0tpAqByqUpakRydHR1"
upstream_id"f012063b23844ff5bbe64240a6849613"
total_cost0.00104832
cache_discount(null)
upstream_inference_cost0
provider_name"Phala"

Evaluation details

Result Evaluator Details Meta Data
88.78% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags23
adverbTagCount3
adverbTags
0"Eva said softly [softly]"
1"Eva’s eyes drifted back [back]"
2"She walked back [back]"
dialogueSentences49
tagDensity0.469
leniency0.939
rawRatio0.13
effectiveRatio0.122
86.60% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1493
totalAiIsmAdverbs4
found
0
adverb"gently"
count1
1
adverb"softly"
count2
2
adverb"quickly"
count1
highlights
0"gently"
1"softly"
2"quickly"
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)
49.77% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1493
totalAiIsms15
found
0
word"weight"
count1
1
word"stark"
count2
2
word"dancing"
count1
3
word"glinting"
count1
4
word"echoed"
count1
5
word"perfect"
count1
6
word"unreadable"
count1
7
word"familiar"
count1
8
word"standard"
count3
9
word"magnetic"
count1
10
word"resolve"
count1
11
word"silence"
count1
highlights
0"weight"
1"stark"
2"dancing"
3"glinting"
4"echoed"
5"perfect"
6"unreadable"
7"familiar"
8"standard"
9"magnetic"
10"resolve"
11"silence"
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
narrationSentences82
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences82
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences107
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen52
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords1
totalWords1486
ratio0.001
matches
0"you"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions22
unquotedAttributions0
matches(empty)
33.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions47
wordCount916
uniqueNames13
maxNameDensity2.07
worstName"Quinn"
maxWindowNameDensity4
worstWindowName"Quinn"
discoveredNames
Tube1
Detective1
Harlow2
Quinn19
Medical1
Examiner1
Kowalski1
Eva15
Morris2
Metropolitan1
Police1
Alistair1
Finch1
persons
0"Harlow"
1"Quinn"
2"Kowalski"
3"Eva"
4"Morris"
5"Alistair"
6"Finch"
places
0"Metropolitan"
globalScore0.463
windowScore0.333
25.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences60
glossingSentenceCount3
matches
0"looked like the robes of a minor academic"
1"as if steeling herself"
2"smelled like the unexplainable silence aft"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.673
wordCount1486
matches
0"not guilt, but a deep, weary knowledge"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences107
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs40
mean37.15
std25.81
cv0.695
sampleLengths
088
175
243
354
456
524
62
767
823
937
1015
1137
1214
1312
1455
1544
161
1727
1854
1926
2050
2123
2221
2319
2460
2544
263
2761
2866
2926
3013
3170
322
3343
3490
3510
3614
3715
389
3993
71.03% Passive voice overuse
Target: ≤2% passive sentences
passiveCount8
totalSentences82
matches
0"was sprawled"
1"was muffled"
2"was curled"
3"being bagged"
4"been obsessed"
5"was swallowed"
6"was strangled"
7"was hidden"
0.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount5
totalVerbs144
matches
0"was looking"
1"was not pointing"
2"was quivering"
3"was arranging"
4"were spinning"
89.45% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount1
flaggedSentences2
totalSentences107
ratio0.019
matches
0"The casing was old, worn to a patina of verdigris, the glass face scratched but the etchings beneath still visible—odd, angular sigils that made her eyes want to slide away."
1"“The killer took the token. The bone token. That’s the only thing missing that makes sense. Without it, you can’t find the next market. You can’t ask questions there. The killer isn’t just covering their tracks; they’re cutting off the avenue of inquiry at the source.” She looked at Eva."
88.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount920
adjectiveStacks2
stackExamples
0"visible—odd, angular sigils"
1"strange, sigil-marked tiles"
adverbCount29
adverbRatio0.03152173913043478
lyAdverbCount16
lyAdverbRatio0.017391304347826087
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences107
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences107
mean13.89
std9.02
cv0.65
sampleLengths
022
127
220
319
418
520
615
722
826
917
103
119
1222
1311
149
158
1630
176
1812
197
2017
212
2213
2315
2411
2528
268
2715
2826
2911
3012
313
3223
3314
3411
353
365
377
387
393
4020
4110
4215
4326
4418
451
4616
4711
4815
497
59.50% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats13
diversityRatio0.42990654205607476
totalSentences107
uniqueOpeners46
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences79
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount19
totalSentences79
matches
0"Her boot heels echoed with"
1"Her left wrist, where the"
2"She was looking at the"
3"It was curled into a"
4"She knelt, the concrete cold"
5"It was quivering, pointing directly"
6"she said, her voice flat"
7"Her round glasses reflected the"
8"Her freckled complexion looked pale"
9"She pushed the memory down,"
10"He was strangled from behind,"
11"She walked back to the"
12"She looked at his face,"
13"She stood, her movements crisp."
14"She looked at Eva"
15"Her own instincts, honed over"
16"She looked at Eva."
17"She took one last look"
18"It added up to a"
ratio0.241
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount73
totalSentences79
matches
0"The air in the abandoned"
1"The single forensic lamp, powered"
2"The beam of Detective Harlow"
3"Her boot heels echoed with"
4"The body was sprawled at"
5"A man, mid-forties, dressed in"
6"Quinn circled him, her face"
7"Her left wrist, where the"
8"Quinn didn’t answer."
9"She was looking at the"
10"It was curled into a"
11"She knelt, the concrete cold"
12"A small brass compass lay"
13"The casing was old, worn"
14"The needle was not pointing"
15"It was quivering, pointing directly"
16"she said, her voice flat"
17"The voice came from the"
18"Eva Kowalski stood there, clutching"
19"Her round glasses reflected the"
ratio0.924
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences79
matches(empty)
ratio0
40.82% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences35
technicalSentenceCount5
matches
0"Her boot heels echoed with military precision, a sound that felt out of place in this swallowed, silent space."
1"The casing was old, worn to a patina of verdigris, the glass face scratched but the etchings beneath still visible—odd, angular sigils that made her eyes want t…"
2"The evidence was arranging itself in her mind, but the picture it formed refused to resolve into anything that belonged in a Metropolitan Police case file."
3"Something that smelled like the unexplainable silence after the gunshot that killed Morris, the empty alley where the evidence should have been."
4"She took one last look at Alistair Finch, a man killed for knowledge in a place that didn’t exist, holding a compass that didn’t point north."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags23
uselessAdditionCount6
matches
0"she said, her voice flat"
1"Quinn corrected, her tone leaving no room for mythology"
2"Eva took, as if steeling herself"
3"Eva offered, her voice tentative"
4"Eva finished, a mix of dread and scholarly fascination in her tone"
5"Quinn asked, her voice dropping, becoming dangerously quiet"
88.78% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags11
fancyCount3
fancyTags
0"Quinn corrected (correct)"
1"Eva suggested (suggest)"
2"Quinn interrupted (interrupt)"
dialogueSentences49
tagDensity0.224
leniency0.449
rawRatio0.273
effectiveRatio0.122
70.7019%