Run: 2026-03-15-01KKS2PAFZG9MQN78Z2KTWDB00

Run Details

Duration:
33.0s
Cost:
$0.008171
Provider:
Z.AI

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 stairs down smelled of damp concrete and something older, something that coated the back of Harlow Quinn's throat like copper pennies. She clicked her penlight on and descended, her footsteps ringing against the cracked tiles with military precision. Eighteen years of crime scenes had taught her to note every detail before the context swallowed it whole, and this one was already fighting to be strange. The abandoned Tube station beneath Camden had been sealed since the Blitz. At least, that's what the transport authority records said. The padlock on the gate had been cut cleanly — not snapped, not forced, but sheared through with something that left a gleaming edge like melted butter. Quinn paused at the bottom of the stairs and swept her light across the platform. DCI Webb was already there, crouched near the body, his notebook open against his knee. He was a decade younger than her, ambitious in that eager way that hadn't yet been ground down by the weight of things that didn't fit. He looked up as her footsteps approached. "Quinn. Glad you're here. Thought you'd want to see this yourself given your interest in the Camden network." She didn't respond to the implication. Her brown eyes were already tracking the scene, building the geography in her mind. The platform was curved, original Edwardian tilework still visible beneath decades of grime and efflorescence. But the grime had been disturbed. Recently. Dozens of footprints marked the dust in patterns that spoke of heavy traffic, far more than a single victim and a killer would produce. The crowd had come and gone before the body was discovered. "Who found him?" she asked. "Night shift engineer doing a structural check. Saw the cut lock, called it in." Webb stood, knees cracking. "Name's Anthony Marsh, forty-three, known to us. Low-level fence, mostly stolen goods, some prescription meds. Looks like he caught a blade to the abdomen and bled out." Quinn moved closer to the body, studying the position without touching. Marsh lay on his back near the edge of the platform, one arm flung toward the tracks, the other curled against his chest. His clothes were expensive — a cashmere coat, leather shoes that had barely been broken in. Not the wardrobe of a small-time fence. His face held the waxy pallor of significant blood loss, and the dark stain across his midsection confirmed the cause of death at first glance. But Quinn wasn't looking at the wound. She was looking at his right hand. "Webb, you said he was a fence." "Correct." "Then why is he wearing a fifteen-hundred-pound watch and holding a compass that's older than both of us combined?" Webb frowned and stepped closer. Quinn crouched, her worn leather watch catching the edge of her penlight as she angled the beam toward the dead man's fist. His fingers were locked around a small brass object, the casing covered in a distinctive greenish patina. Even in the poor light, she could see that the face was etched with markings that weren't standard compass points. They were intricate, deliberate, and utterly unfamiliar. "Probably stolen property," Webb offered. "He was moving high-end goods now, looks like." "Maybe." Quinn shifted her light. "But fences don't die holding onto merchandise. They dump it, or it gets taken from them. This man's grip is post-mortem rigidity, which means he was holding this when he died and never let go. This wasn't in his pocket. This was in his hand." She stood. "What about the footprints?" Webb glanced around, visibly irritated that she'd moved on from his neat narrative. "What about them? Market crowd, most likely. There's been talk of an underground pop-up operating in these old stations. Drugs, probably." "Drugs." Quinn walked the perimeter of the disturbed area, counting patterns. At least thirty distinct sets of prints overlaid in the dust, some with shallow treads, some deep. Boot heels. Sneakers. A woman's shoe with a narrow heel. "A drug market that draws thirty-plus customers to a sealed Underground station in the middle of a weeknight. That's quite an operation." "They're resourceful." "They're something." Quinn stopped at the far wall, where the tilework gave way to a rougher patch of exposed brick. Something had been scraped into the mortar — a symbol, semicircular with three lines descending from its arc. Fresh. The brick dust at its base hadn't settled. "You see this?" Webb peered at it and shrugged. "Graffiti. Probably gang-related." "Gang-related." She repeated the words without inflection, the way she'd learned to when she was twenty-three and a sergeant had told her a domestic call was just a family dispute. The symbol meant nothing to her, and that was precisely what bothered her. In eighteen years she had learned to read London's criminal dialects — the tags, the signs, the coded language of territory. This didn't belong to any of them. She returned to the body and knelt again, this time pulling on nitrile gloves. Webb watched with the particular patience of someone humoring a superior. Gently, she pried open Marsh's clenched fingers. The compass came free, heavier than she expected, warm against her palm despite the ambient cold of the station. She turned it over. The verdigris was genuine, not a decorative finish. This object had aged naturally over decades, possibly centuries. The sigils on its face caught her light and seemed to hold it, refracting faintly in shades she couldn't quite name. The needle spun lazily, then stopped. Not north. She checked her watch. The needle pointed southeast, at an angle that made no sense for any compass she'd ever handled. She tilted the brass case. The needle didn't right itself. It held its direction with strange certainty, as though anchored to something she couldn't see. "Quinn?" Webb's voice had an edge now. "We need to log that as evidence." "In a moment." She turned slowly, keeping the compass level. The needle didn't waver. Southeast. Toward the tunnel mouth at the far end of the platform, where the darkness thickened into something that her penlight couldn't quite penetrate. Her mind went to Morris. Three years, and she still couldn't explain what had happened in that warehouse. The official report said collapsed structure. She'd been twenty feet away when it came down, and she knew what she'd seen in the half-second before the dust swallowed everything — a shape in the air that wasn't smoke, wasn't shadow, wasn't anything her training had a category for. She'd buried her partner and filed the report and never said a word, because words like that ended careers. But she'd kept looking. Quietly, carefully, off the books. Following threads that led to names like the ones in Marsh's expensive coat pocket — names she'd seen in Morris's case notes, names connected to a clique that operated in spaces the Met didn't map. "You said low-level fence," she murmured, still watching the needle. "Marsh has no record above petty theft. But someone recently upgraded his wardrobe and put an artifact in his hand that doesn't belong in any evidence room I've ever seen. He didn't stumble down here to buy drugs, Webb. He came here to buy something else, and it got him killed." "Alternate theory," Webb said flatly. "He was a middleman who got in over his head with serious players, and the compass is stolen property worth killing over. Straightforward." "Nothing about this is straightforward." Quinn closed her fingers around the compass, feeling the sigils press into her skin. "The cut on that lock. The crowd traffic. The symbol on the wall. This object in a dead man's hand, pointing at something I can't see." She looked at Webb directly. "This station wasn't just a meeting point. It was a market. And whatever they were selling here, it wasn't drugs." Webb's jaw tightened. He didn't like where this was going, and she didn't blame him. She remembered being him — younger, certain that every mystery had a mundane explanation if you looked hard enough. She'd lost that certainty in a warehouse in Canning Town, and she'd never gotten it back. A sound echoed from the tunnel mouth. Not a train — the line had been dead for eighty years. Something lighter. Footsteps, maybe. Or the settling of old infrastructure. Webb reached for his torch. Quinn was already watching the compass needle. It had begun to tremble.
created_at"2026-03-15T15:44:01.031Z" 3/15/2026, 3:44:01 PM
model"z-ai/glm-5-turbo-20260315"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1972
moderation_latency(null)
generation_time32940
tokens_prompt923
tokens_completion2785
native_tokens_prompt842
native_tokens_completion2334
native_tokens_completion_images(null)
native_tokens_reasoning536
native_tokens_cached138
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"
usage0.008171136
router(null)
provider_responses
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endpoint_id"9ce3b132-3a17-4fea-8092-0e8e519ed32b"
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latency1972
model_permaslug"z-ai/glm-5-turbo-20260315"
provider_name"Z.AI"
status200
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api_type"completions"
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total_cost0.008171136
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provider_name"Z.AI"

Evaluation details

Result Evaluator Details Meta Data
66.67% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags14
adverbTagCount2
adverbTags
0"She turned slowly [slowly]"
1"Webb said flatly [flatly]"
dialogueSentences30
tagDensity0.467
leniency0.933
rawRatio0.143
effectiveRatio0.133
78.35% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1386
totalAiIsmAdverbs6
found
0
adverb"utterly"
count1
1
adverb"precisely"
count1
2
adverb"gently"
count1
3
adverb"lazily"
count1
4
adverb"slowly"
count1
5
adverb"carefully"
count1
highlights
0"utterly"
1"precisely"
2"gently"
3"lazily"
4"slowly"
5"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)
56.71% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1386
totalAiIsms12
found
0
word"footsteps"
count3
1
word"gleaming"
count1
2
word"weight"
count1
3
word"implication"
count1
4
word"etched"
count1
5
word"standard"
count1
6
word"intricate"
count1
7
word"coded"
count1
8
word"structure"
count1
9
word"echoed"
count1
highlights
0"footsteps"
1"gleaming"
2"weight"
3"implication"
4"etched"
5"standard"
6"intricate"
7"coded"
8"structure"
9"echoed"
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
narrationSentences93
matches(empty)
96.77% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences93
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)
analyzedSentences109
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen51
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1394
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions11
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions36
wordCount1047
uniqueNames13
maxNameDensity1.15
worstName"Webb"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn10
Tube1
Camden1
Blitz1
Webb12
Edwardian1
London1
Marsh3
Morris2
Met1
Canning1
Town1
persons
0"Harlow"
1"Quinn"
2"Camden"
3"Webb"
4"Marsh"
5"Morris"
6"Met"
places
0"London"
1"Canning"
2"Town"
globalScore0.927
windowScore0.833
36.36% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences66
glossingSentenceCount3
matches
0"lanced around, visibly irritated that she'"
1"quite name"
2"quite penetrate"
56.53% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches2
per1kWords1.435
wordCount1394
matches
0"not snapped, not forced, but sheared through with something"
1"not forced, but sheared through with something"
74.92% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount3
totalSentences109
matches
0"see that the"
1"irritated that she'd"
2"lost that certainty"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs34
mean41
std27.03
cv0.659
sampleLengths
066
163
248
318
477
55
645
782
814
97
101
1119
1271
1313
1456
1534
1660
172
1850
199
2071
2193
226
2348
2414
2538
2685
2744
2861
2928
3070
3150
3234
3312
75.08% Passive voice overuse
Target: ≤2% passive sentences
passiveCount8
totalSentences93
matches
0"been sealed"
1"been ground"
2"was curved"
3"been disturbed"
4"was discovered"
5"been broken"
6"was etched"
7"been scraped"
0.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount6
totalVerbs177
matches
0"was already fighting"
1"were already tracking"
2"wasn't looking"
3"was looking"
4"was going"
5"was already watching"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount8
semicolonCount0
flaggedSentences8
totalSentences109
ratio0.073
matches
0"The padlock on the gate had been cut cleanly — not snapped, not forced, but sheared through with something that left a gleaming edge like melted butter."
1"His clothes were expensive — a cashmere coat, leather shoes that had barely been broken in."
2"Something had been scraped into the mortar — a symbol, semicircular with three lines descending from its arc."
3"In eighteen years she had learned to read London's criminal dialects — the tags, the signs, the coded language of territory."
4"She'd been twenty feet away when it came down, and she knew what she'd seen in the half-second before the dust swallowed everything — a shape in the air that wasn't smoke, wasn't shadow, wasn't anything her training had a category for."
5"Following threads that led to names like the ones in Marsh's expensive coat pocket — names she'd seen in Morris's case notes, names connected to a clique that operated in spaces the Met didn't map."
6"She remembered being him — younger, certain that every mystery had a mundane explanation if you looked hard enough."
7"Not a train — the line had been dead for eighty years."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1042
adjectiveStacks0
stackExamples(empty)
adverbCount40
adverbRatio0.03838771593090211
lyAdverbCount17
lyAdverbRatio0.016314779270633396
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences109
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences109
mean12.79
std9.78
cv0.765
sampleLengths
022
117
227
312
49
527
615
715
826
97
1018
116
1214
1315
146
151
1624
1711
185
1918
2027
2111
2223
2316
247
2525
267
277
287
291
3019
315
3222
3317
3420
357
365
378
385
3947
404
4113
4221
4311
4417
452
461
477
4822
492
67.89% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.44036697247706424
totalSentences109
uniqueOpeners48
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences82
matches
0"At least, that's what the"
1"At least thirty distinct sets"
2"Gently, she pried open Marsh's"
3"Quietly, carefully, off the books."
ratio0.049
93.17% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount26
totalSentences82
matches
0"She clicked her penlight on"
1"He was a decade younger"
2"He looked up as her"
3"She didn't respond to the"
4"Her brown eyes were already"
5"His clothes were expensive —"
6"His face held the waxy"
7"She was looking at his"
8"His fingers were locked around"
9"They were intricate, deliberate, and"
10"She repeated the words without"
11"She returned to the body"
12"She turned it over."
13"She checked her watch."
14"She tilted the brass case."
15"It held its direction with"
16"She turned slowly, keeping the"
17"Her mind went to Morris."
18"She'd been twenty feet away"
19"She'd buried her partner and"
ratio0.317
63.66% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount65
totalSentences82
matches
0"The stairs down smelled of"
1"She clicked her penlight on"
2"The abandoned Tube station beneath"
3"The padlock on the gate"
4"Quinn paused at the bottom"
5"He was a decade younger"
6"He looked up as her"
7"She didn't respond to the"
8"Her brown eyes were already"
9"The platform was curved, original"
10"Dozens of footprints marked the"
11"The crowd had come and"
12"Webb stood, knees cracking"
13"Quinn moved closer to the"
14"Marsh lay on his back"
15"His clothes were expensive —"
16"His face held the waxy"
17"She was looking at his"
18"Webb frowned and stepped closer."
19"Quinn crouched, her worn leather"
ratio0.793
60.98% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences82
matches
0"Even in the poor light,"
ratio0.012
32.97% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences39
technicalSentenceCount6
matches
0"The stairs down smelled of damp concrete and something older, something that coated the back of Harlow Quinn's throat like copper pennies."
1"He was a decade younger than her, ambitious in that eager way that hadn't yet been ground down by the weight of things that didn't fit."
2"Dozens of footprints marked the dust in patterns that spoke of heavy traffic, far more than a single victim and a killer would produce."
3"It held its direction with strange certainty, as though anchored to something she couldn't see."
4"She'd been twenty feet away when it came down, and she knew what she'd seen in the half-second before the dust swallowed everything — a shape in the air that wa…"
5"Following threads that led to names like the ones in Marsh's expensive coat pocket — names she'd seen in Morris's case notes, names connected to a clique that o…"
89.29% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags14
uselessAdditionCount1
matches
0"Webb stood, knees cracking"
83.33% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount2
fancyTags
0"She repeated (repeat)"
1"she murmured (murmur)"
dialogueSentences30
tagDensity0.133
leniency0.267
rawRatio0.5
effectiveRatio0.133
77.2005%