Run: 2026-09-03-01M1KRQ216D3CQ0J524VX2YC14

Run Details

Duration:
41.4s
Cost:
$0.002830
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 stairwell reeked of damp concrete and old oil, the air thinning the further down Harlow Quinn went. Her boots struck each step with a measured cadence, the worn leather watch on her left wrist catching the weak torchlight as she checked the time again out of habit. 02:17. The full moon was high, and the Veil Market moved with it. She had the bone token tucked in her pocket, a sliver of blackened jawbone the uniforms had recovered from the dead man’s fist. It had let her past the archway where the tunnel should have ended, past the graffiti that bled in the dark and the brick wall that wasn’t there on any Transport for London map. Now she stood in the abandoned Tube station beneath Camden, platforms cracked and slick with condensation, stalls shuttered with canvas that fluttered though there was no draft. The crime scene was cordoned with yellow tape that looked absurd against the arches and the low, humming lights strung between stalls. Two constables stood by the entrance, not looking at her. A body lay on the tiles near the old ticket office, covered loosely with a plastic sheet. She stepped under the tape. Quinn was 5'9", and even in the cramped space she filled it with the military precision that had earned her commendations and a reputation for being impossible to bluff. Her closely cropped salt-and-pepper hair was damp at the temples. Her brown eyes swept once, twice, cataloguing. The sheet lifted at one corner in a slow breath of air. “Don’t move that,” she said quietly. Eva Kowalski was already there, crouched at the edge of the chalk outline, round glasses fogged at the edges. The red curls were escaping a loose tie, and she tucked one strand behind her left ear, the nervous habit Quinn had watched since they were girls in Hackney. Eva’s worn leather satchel full of books sagged against her hip, a battered notebook open on her knee. She looked up, freckles stark against pale skin, and didn’t get to her feet. “You’re late,” Eva said. “I’m on time. You’re early.” Quinn’s jaw set. “You shouldn’t be here.” “The Met called the Museum. The body has a British Museum provenance tag in his pocket.” Eva gestured with a pen. “I’m the only one who could identify the inscription. You know that.” Quinn didn’t answer. She pulled on gloves, knelt, and lifted the sheet an inch. The man was in his thirties, coat expensive, throat opened in a neat line. No spatter on the walls. No blood on the floor beyond a thin dark halo that stopped unnaturally clean at the chalk line. The body was cold, but the skin looked… dry. Waxy. “Cause?” Quinn asked the SOCO sergeant hovering behind her. “Still waiting on PM, Detective. No obvious weapon. No defensive wounds. No signs of struggle.” The evidence didn’t add up. The station was locked from the inside by a barricaded ticket barrier. No forced entry. No exits except the one they’d come through. The bone token was still in the victim’s clenched fist. Eva stood, brushing dust from her knees. “It’s a taking,” she said softly. Quinn looked at her. “A ritual taking. The cut is too clean for a blade. See the pattern?” Eva pointed, not touching. Around the wound, faint, almost invisible, a ring of bruising in concentric circles, like fingertips pressed through skin. “That’s a summoning mark. Shade artisans use it to open a temporary rift. The Veil Market trades in portals.” “Don’t give me folklore, Evie.” Quinn’s voice was level. “A man is dead. He was killed.” “He was unmade.” Quinn stood, scanning the stalls. Brass lanterns, jars of black liquid, a table of bone tokens arranged like coins. The place was a black market for enchanted goods, banned alchemical substances, information. It moved every full moon. It sold things that shouldn’t exist. Quinn had been tracking a clique of collectors who moved through it for eighteen months, ever since a warehouse fire in Shoreditch had left three bodies with no burns and DS Morris missing. Morris. Three years ago, same kind of clean death, same kind of no explanation. She had never accepted the suicide note. She crouched again, examined the halo of blood. It was too perfect. The tile beneath it was cold, but the tile two feet away was colder, frosted with a thin rime that hadn’t been there when the constables arrived an hour ago. “You see that?” Eva asked. Quinn did. She also saw the faint scorch marks on the ceiling directly above the body, in the shape of a sigil. She’d almost missed it in the dark. “The Compass,” Eva said, and unclipped a small brass compass from her satchel strap. The casing had a patina of verdigris, the face etched with protective sigils. The needle trembled, then steadied, pointing not north, but straight down at the body. “Points toward the nearest supernatural rift or portal,” Eva said. “It’s been pointing here since we came down.” Quinn’s watch ticked. She thought about the evidence. No weapon. No struggle. The blood stopping at the chalk line. The frost. The sigil. The bone token clutched like a key. A colleague’s interpretation would be robbery gone wrong, or a turf war, or a dealer killed for debt. The scene was tidy for a murder. Too tidy. She stood, eyes moving from the body to the archway, to the stalls, to the constables who were beginning to look uneasy in a place that made their radios hiss. “What’s the time stamp on the CCTV from the surface?” Quinn asked. “None. Station’s dead. Power’s been cut since the sixties.” “Then how did he get in?” Eva tucked hair behind her left ear. “Same way we did. Bone token. Entry requirement. The market only exists on full moon nights in a location that isn’t on any map. He was a regular. He had the token.” “And he was killed here,” Quinn said. “No.” Eva’s green eyes were steady. “He was taken. The cut is the seal closing. The rift opened under him, took him, and left the husk. That’s why there’s no blood loss consistent with the wound. That’s why it’s cold. The body is a shell.” Quinn stared at the corpse, then at the compass needle still quivering. She thought of Morris, of the report that said cardiac arrest, of the strange burn on his collarbone that the pathologist had called a hickey. She thought of eighteen years of service and the way cases like this always got filed under unsolved. She reached out with a gloved hand and touched the frosted tile. It was ice to the touch. “Get a thermals team down here,” she said to the sergeant. “And get me the list of everyone who bought a bone token this month. I want names, addresses, the whole clique.” Eva smiled, small and sad. “You’re finally listening.” Quinn didn’t smile back. She watched the needle on the brass compass, etched with sigils, point unwaveringly at the body that wasn’t really a body. The evidence didn’t add up because she’d been counting on the wrong kind of math. She’d been looking for a killer. Maybe the market had taken him, and maybe it would take more.
created_at"2026-09-03T13:53:12.749Z" 9/3/2026, 1:53:12 PM
model"meta/muse-glimmer-30b-20260810"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency288
moderation_latency(null)
generation_time41287
tokens_prompt896
tokens_completion2964
native_tokens_prompt863
native_tokens_completion2541
native_tokens_completion_images(null)
native_tokens_reasoning919
native_tokens_cached862
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
service_tier(null)
usage0.00282988
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
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request_id"req-1788443592-S1CDbLKRd5MVV0140knM"
session_id(null)
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api_type"completions"
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upstream_id"req_8a79d02705f778f10db9e30eac714ec1"
provider_responses
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is_byokfalse
latency246
model_permaslug"meta/muse-glimmer-30b-20260810"
provider_name"Phala"
status200
total_cost0.00282988
cache_discount0.00022412
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provider_name"Phala"
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data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags18
adverbTagCount1
adverbTags
0"she said quietly [quietly]"
dialogueSentences33
tagDensity0.545
leniency1
rawRatio0.056
effectiveRatio0.056
87.64% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1214
totalAiIsmAdverbs3
found
0
adverb"loosely"
count1
1
adverb"softly"
count1
2
adverb"really"
count1
highlights
0"loosely"
1"softly"
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)
67.05% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1214
totalAiIsms8
found
0
word"measured"
count1
1
word"fluttered"
count1
2
word"stark"
count1
3
word"scanning"
count1
4
word"perfect"
count1
5
word"etched"
count2
6
word"trembled"
count1
highlights
0"measured"
1"fluttered"
2"stark"
3"scanning"
4"perfect"
5"etched"
6"trembled"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"clenched jaw/fists"
count1
highlights
0"clenched fist"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences64
matches(empty)
75.89% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount0
narrationSentences64
filterMatches
0"watch"
1"know"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences71
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen80
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1214
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions14
unquotedAttributions0
matches(empty)
75.15% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions45
wordCount1002
uniqueNames17
maxNameDensity1.5
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn15
Veil2
Market2
Transport1
London1
Tube1
Camden1
Eva10
Kowalski1
Hackney1
You2
British1
Museum1
Shoreditch1
Morris3
Station1
persons
0"Harlow"
1"Quinn"
2"Market"
3"Eva"
4"Kowalski"
5"You"
6"Morris"
7"Station"
places
0"London"
1"Hackney"
globalScore0.751
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences34
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.824
wordCount1214
matches
0"not north, but straight down at the body"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences71
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs39
mean31.13
std23.27
cv0.748
sampleLengths
061
184
254
358
46
580
64
712
833
961
109
1115
1238
1313
144
1555
1616
173
1876
1921
2042
215
2229
2341
2418
2557
2630
2712
289
296
3039
317
3245
3355
3418
3532
368
3740
3818
94.30% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences64
matches
0"was cordoned"
1"got filed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs177
matches
0"were escaping"
1"were beginning"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences71
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount409
adjectiveStacks0
stackExamples(empty)
adverbCount7
adverbRatio0.017114914425427872
lyAdverbCount4
lyAdverbRatio0.009779951100244499
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences71
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences71
mean17.1
std18.11
cv1.059
sampleLengths
018
130
21
312
423
534
627
722
810
917
105
1158
126
1380
144
153
169
175
1825
193
2061
219
225
233
243
254
2638
2713
284
293
308
3129
329
336
3413
353
363
3776
3821
3942
405
4129
4241
4318
4457
4530
4612
471
482
496
61.43% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.42857142857142855
totalSentences70
uniqueOpeners30
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences52
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount14
totalSentences52
matches
0"Her boots struck each step"
1"She had the bone token"
2"It had let her past"
3"She stepped under the tape."
4"she said quietly"
5"You’re shouldn’t be"
6"She crouched again, examined the"
7"She stood, eyes moving from"
8"He was a regular."
9"He had the"
10"She reached out with a"
11"she said to the sergeant"
12"I want names, addresses, the"
13"She’d been looking for a"
ratio0.269
17.69% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount46
totalSentences52
matches
0"The stairwell reeked of damp"
1"Her boots struck each step"
2"The full moon was high,"
3"She had the bone token"
4"It had let her past"
5"The crime scene was cordoned"
6"A body lay on the"
7"She stepped under the tape."
8"she said quietly"
9"Eva Kowalski was already there,"
10"You’re shouldn’t be"
11"The body has a British"
12"Quinn didn’t answer. She pulled"
13"Quinn asked the SOCO sergeant"
14"The evidence didn’t add up."
15"Eva stood, brushing dust from"
16"Quinn looked at her."
17"The cut is too clean"
18"Shade artisans use it to"
19"The Veil Market trades in"
ratio0.885
96.15% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences52
matches
0"Now she stood in the"
ratio0.019
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences25
technicalSentenceCount8
matches
0"Now she stood in the abandoned Tube station beneath Camden, platforms cracked and slick with condensation, stalls shuttered with canvas that fluttered though th…"
1"The crime scene was cordoned with yellow tape that looked absurd against the arches and the low, humming lights strung between stalls."
2"Quinn didn’t answer. She pulled on gloves, knelt, and lifted the sheet an inch. The man was in his thirties, coat expensive, throat opened in a neat line. No sp…"
3"Quinn stood, scanning the stalls. Brass lanterns, jars of black liquid, a table of bone tokens arranged like coins. The place was a black market for enchanted g…"
4"She crouched again, examined the halo of blood. It was too perfect. The tile beneath it was cold, but the tile two feet away was colder, frosted with a thin rim…"
5"She stood, eyes moving from the body to the archway, to the stalls, to the constables who were beginning to look uneasy in a place that made their radios hiss."
6"Quinn stared at the corpse, then at the compass needle still quivering. She thought of Morris, of the report that said cardiac arrest, of the strange burn on hi…"
7"Quinn didn’t smile back. She watched the needle on the brass compass, etched with sigils, point unwaveringly at the body that wasn’t really a body. The evidence…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags16
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags9
fancyCount0
fancyTags(empty)
dialogueSentences33
tagDensity0.273
leniency0.545
rawRatio0
effectiveRatio0
85.8437%