Run: 2026-03-15-01KKS2WKSVW6KJFYSC1B44HFXB

Run Details

Duration:
37.0s
Cost:
$0.007773
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 like rust and damp concrete, the kind of smell that never fully left your clothes. Harlow Quinn clicked her torch on and kept her left hand free, a habit from eighteen years on the force that had outlasted most of her other instincts. Behind her, DC Patel's footsteps echoed off the curved walls of the abandoned Tube station, each one too quick, too eager. "You'll want to see this before the CSIs trample everything," Patel said. "It's a weird one." Quinn said nothing. She checked her watch — the worn leather band had softened to the shape of her wrist over the years — and noted the time: 11:47 PM. Three hours since the call came in. Three hours since a maintenance worker on an unscheduled inspection had found the body and, according to dispatch, nearly broken his neck fleeing up the stairs. They reached the platform. The old advertising boards still clung to the walls, their faded posters promising products from companies that had folded decades ago. The ticket barrier was jammed open with a brick. Quinn's torch swept across the scene and stopped. The body lay in the center of the platform, face up. A man, mid-fifties, heavyset, dressed in an expensive overcoat that looked grotesquely out of place against the grime. No visible wounds. No blood. His expression was frozen in something that wasn't quite fear and wasn't quite surprise — his mouth slightly open, his eyes wide, his brow furrowed like he'd been trying to solve an equation in his last moments. Patel came to stand beside her. "Roger Ashworth. Fifty-three. Address in Mayfair, according to his wallet. No weapon, no defensive marks, no signs of a struggle. Heart attack, maybe. Stress-induced. Bloke like that, wandering around a decommissioned Tube station in the middle of the night — could have had a condition he didn't know about." Quinn crouched beside the body. She noted the overcoat first — cashmere, well-cut, recently dry-cleaned. The shoes were polished leather, no scuffs. The fingernails were manicured. This was not a man who regularly visited abandoned underground spaces. "What else?" she said. "That's the thing. There's nothing else." Patel spread his hands. "No phone, no keys, no identification beyond the wallet. And get this — the entry point. We checked the whole station. Every access door, every maintenance hatch, every ventilation shaft. All sealed from the outside. Either he appeared here by magic, or someone brought him in and out through a route we haven't found." Quinn looked up at him. Patel had been on the force for four years. Bright, thorough, by the book. He believed in evidence and procedure, and she had never once seen him entertain a theory that couldn't be photographed and bagged. "You said magic," she said. "It's a figure of speech." "Is it." Patel shifted his weight. "The maintenance worker — Chen, his name is — he said he heard something before he found the body. A sound. He couldn't describe it. Said it was like a hum, but not a hum. Like a voice, but not words. I put it down to shock." Quinn turned back to the body. She studied the hands again. The fingernails were clean, yes, but the pads of the fingers had a faint discoloration — a greenish tint, barely visible, concentrated on the thumb and forefinger of the right hand. She leaned closer. The discoloration had a texture, almost like a residue, as if he'd been handling something made of oxidized copper. She stood and swept her torch along the platform. The beam caught on something near the edge of the track bed — a small glint of brass. She stepped carefully around the body and knelt at the edge, reaching down with a gloved hand. A compass. Small, brass, with a patina of verdigris across the casing. She turned it over in her fingers. The face was etched with markings she didn't recognize — not standard numerals or degree readings, but something older, more intricate. Symbols that seemed to shift in the torchlight, though she knew that was impossible. The needle inside didn't point north. It sat fixed at an angle, quivering with a faint but persistent vibration, as though it were detecting something beyond the range of ordinary instruments. "Evidence bag," she said, holding out her hand without looking. Patel pressed a bag into her palm. "What is it?" "I don't know." She sealed the compass inside and stood. "But he touched it. Right hand, thumb and forefinger. Whatever it is, he was holding it when he died." "Or someone put it there." "Someone sealed him inside a locked station with a dead man's grip on a compass that doesn't point north, and then vanished through a wall." She kept her voice flat. "That's your theory?" Patel opened his mouth, closed it, and tried again. "I'm saying we don't have enough to rule anything out yet." Quinn walked the length of the platform slowly, her torch moving in methodical sweeps. She was looking for what didn't belong — the principle that had served her through hundreds of crime scenes. And near the far end, she found it. A young woman sat on a bench against the wall, wrapped in a shock blanket, talking to a uniformed constable. Red curly hair. Round glasses. A worn leather satchel clutched in her lap, bulging with what looked like books. Freckled face, pale, green eyes that tracked Quinn's approach with an alertness that didn't match the shock-blanket posture. Quinn stopped in front of her. "Name." "Eva Kowalski." The woman's voice was steady. She tucked a curl of red hair behind her left ear — a nervous gesture, but her eyes stayed level. "You were the one who called it in." "I found the body. Well — I found it after Chen did. He ran. I stayed." "Why?" Eva glanced at the constable, then back at Quinn. "Because I know what this station is." Patel stepped up beside Quinn. "Miss Kowalski states she's a research assistant at the British Museum. She says she came down here to photograph the old signage for a personal project, which is a violation of about four different bylaws, but under the circumstances I haven't charged her." Quinn studied Eva's face. The woman was scared — Quinn could see it in the set of her jaw, the whiteness of her knuckles around the satchel strap — but she wasn't scatterbrained and she wasn't fabricating. People who lied about what they'd seen tended to overdescribe. Eva was choosing her words with the care of someone who knew exactly how much to say. "What is this station?" Quinn asked. Eva tucked her hair behind her ear again. "It's a meeting place. A market. It moves, but it was here. Once a month, people come here to buy and sell things that aren't available anywhere else." "Drugs?" "Sometimes. But mostly — other things." Quinn pulled the evidence bag from her pocket and held it up, the brass compass visible through the plastic. Eva's eyes went to it immediately, and something flickered across her face — recognition, certainly, but also something else. Fear, or something adjacent to it. "Have you seen this before?" Eva's mouth thinned. She looked at the compass, then at Quinn, then at Patel. "I should talk to a solicitor." "That's your right." Quinn lowered the bag but didn't put it away. "But let me tell you what I see, Miss Kowalski. I see a dead man with no way in and no way out. I see a compass that doesn't work the way compasses work. And I see you, in an abandoned Tube station at midnight, with a bag full of books and a story about photographing old signs. You're not a tourist. You're not a vandal. And you didn't call the police because you stumbled on a body by accident. You called because you knew what killed him." Eva said nothing. The torchlight caught the edge of her glasses, turning the lenses white for a moment. Quinn crouched to bring herself to Eva's eye level. "DS Morris died three years ago. Unexplained circumstances. No evidence, no witnesses, no entry or exit. I've been looking for a pattern ever since, and tonight I think I found one." She held Eva's gaze. "Help me see it." For a long moment, the only sound was the distant drip of water somewhere deeper in the tunnels. Then Eva Kowalski loosened her grip on the satchel, and Quinn knew she was about to hear something that would change the shape of every case she'd ever worked.
created_at"2026-03-15T15:47:27.17Z" 3/15/2026, 3:47:27 PM
model"z-ai/glm-5-turbo-20260315"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2572
moderation_latency(null)
generation_time36928
tokens_prompt923
tokens_completion2751
native_tokens_prompt842
native_tokens_completion2376
native_tokens_completion_images(null)
native_tokens_reasoning606
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"
usage0.007772544
router(null)
provider_responses
0
endpoint_id"9ce3b132-3a17-4fea-8092-0e8e519ed32b"
id"2026031523472779845e8c98674f16"
is_byokfalse
latency2572
model_permaslug"z-ai/glm-5-turbo-20260315"
provider_name"Z.AI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773589647-n9yMpU91VBrJEQUs2Jyu"
upstream_id"2026031523472779845e8c98674f16"
total_cost0.007772544
cache_discount0.00079872
upstream_inference_cost0
provider_name"Z.AI"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags10
adverbTagCount0
adverbTags(empty)
dialogueSentences35
tagDensity0.286
leniency0.571
rawRatio0
effectiveRatio0
89.45% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1422
totalAiIsmAdverbs3
found
0
adverb"slightly"
count1
1
adverb"carefully"
count1
2
adverb"slowly"
count1
highlights
0"slightly"
1"carefully"
2"slowly"
60.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Chen"
1"Patel"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
61.32% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1422
totalAiIsms11
found
0
word"footsteps"
count1
1
word"echoed"
count1
2
word"furrowed"
count1
3
word"weight"
count1
4
word"glint"
count1
5
word"etched"
count1
6
word"standard"
count1
7
word"intricate"
count1
8
word"methodical"
count1
9
word"charged"
count1
10
word"flickered"
count1
highlights
0"footsteps"
1"echoed"
2"furrowed"
3"weight"
4"glint"
5"etched"
6"standard"
7"intricate"
8"methodical"
9"charged"
10"flickered"
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
emotionTells1
narrationSentences82
matches
0"was scared"
90.59% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences82
filterMatches
0"watch "
hedgeMatches
0"seemed to"
1"tended to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences106
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen88
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1440
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions11
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions41
wordCount933
uniqueNames5
maxNameDensity2.04
worstName"Quinn"
maxWindowNameDensity5
worstWindowName"Quinn"
discoveredNames
Quinn19
Patel10
Tube1
Eva10
Kowalski1
persons
0"Quinn"
1"Patel"
2"Eva"
3"Kowalski"
places(empty)
globalScore0.482
windowScore0
0.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences56
glossingSentenceCount4
matches
0"smelled like rust and damp concrete, the k"
1"quite fear and wasn't quite surprise — his mouth slightly open, his eyes wide, his brow furrowed like he'd been trying to solve an equation in his last moments"
2"quite surprise — his mouth slightly open, his eyes wide, his brow furrowed like he'd been trying to solve an equation in his last moments"
3"Symbols that seemed to shift in the torchlight, though she knew that was impossible"
4"looked like books"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.694
wordCount1440
matches
0"not standard numerals or degree readings, but something older, more intricate"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences106
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs44
mean32.73
std25.42
cv0.777
sampleLengths
068
116
263
342
471
555
637
74
864
941
105
115
122
1351
1464
1544
1685
1710
1810
1929
205
2133
2220
2341
2457
257
2627
278
2816
291
3016
3148
3264
336
3436
351
366
3744
385
3920
40100
4118
4248
4347
88.15% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences82
matches
0"was jammed"
1"was frozen"
2"were manicured"
3"was etched"
34.37% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs161
matches
0"were detecting"
1"was looking"
2"wasn't fabricating"
3"was choosing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount12
semicolonCount0
flaggedSentences10
totalSentences106
ratio0.094
matches
0"She checked her watch — the worn leather band had softened to the shape of her wrist over the years — and noted the time: 11:47 PM."
1"His expression was frozen in something that wasn't quite fear and wasn't quite surprise — his mouth slightly open, his eyes wide, his brow furrowed like he'd been trying to solve an equation in his last moments."
2"She noted the overcoat first — cashmere, well-cut, recently dry-cleaned."
3"The fingernails were clean, yes, but the pads of the fingers had a faint discoloration — a greenish tint, barely visible, concentrated on the thumb and forefinger of the right hand."
4"The beam caught on something near the edge of the track bed — a small glint of brass."
5"The face was etched with markings she didn't recognize — not standard numerals or degree readings, but something older, more intricate."
6"She was looking for what didn't belong — the principle that had served her through hundreds of crime scenes."
7"She tucked a curl of red hair behind her left ear — a nervous gesture, but her eyes stayed level."
8"The woman was scared — Quinn could see it in the set of her jaw, the whiteness of her knuckles around the satchel strap — but she wasn't scatterbrained and she wasn't fabricating."
9"Eva's eyes went to it immediately, and something flickered across her face — recognition, certainly, but also something else."
98.11% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount925
adjectiveStacks0
stackExamples(empty)
adverbCount39
adverbRatio0.04216216216216216
lyAdverbCount14
lyAdverbRatio0.015135135135135135
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences106
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences106
mean13.58
std13.17
cv0.969
sampleLengths
019
128
221
312
44
53
627
77
826
94
1021
119
128
1311
1418
153
162
1737
186
1949
205
2110
227
234
2411
254
2610
2754
285
299
305
3122
325
335
342
354
3647
376
385
3931
403
4119
429
4318
4417
452
4610
477
4821
4914
66.98% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.42452830188679247
totalSentences106
uniqueOpeners45
88.89% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences75
matches
0"Bright, thorough, by the book."
1"Then Eva Kowalski loosened her"
ratio0.027
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount18
totalSentences75
matches
0"She checked her watch —"
1"They reached the platform."
2"His expression was frozen in"
3"She noted the overcoat first"
4"He believed in evidence and"
5"She studied the hands again."
6"She leaned closer."
7"She stood and swept her"
8"She stepped carefully around the"
9"She turned it over in"
10"It sat fixed at an"
11"she said, holding out her"
12"She sealed the compass inside"
13"She kept her voice flat"
14"She was looking for what"
15"She tucked a curl of"
16"She looked at the compass,"
17"She held Eva's gaze"
ratio0.24
40.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount63
totalSentences75
matches
0"The stairs down smelled like"
1"Harlow Quinn clicked her torch"
2"Quinn said nothing."
3"She checked her watch —"
4"They reached the platform."
5"The old advertising boards still"
6"The ticket barrier was jammed"
7"Quinn's torch swept across the"
8"The body lay in the"
9"A man, mid-fifties, heavyset, dressed"
10"His expression was frozen in"
11"Patel came to stand beside"
12"Quinn crouched beside the body."
13"She noted the overcoat first"
14"The shoes were polished leather,"
15"The fingernails were manicured."
16"This was not a man"
17"Patel spread his hands"
18"Quinn looked up at him."
19"Patel had been on the"
ratio0.84
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences75
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences35
technicalSentenceCount7
matches
0"Harlow Quinn clicked her torch on and kept her left hand free, a habit from eighteen years on the force that had outlasted most of her other instincts."
1"Three hours since a maintenance worker on an unscheduled inspection had found the body and, according to dispatch, nearly broken his neck fleeing up the stairs."
2"The old advertising boards still clung to the walls, their faded posters promising products from companies that had folded decades ago."
3"A man, mid-fifties, heavyset, dressed in an expensive overcoat that looked grotesquely out of place against the grime."
4"His expression was frozen in something that wasn't quite fear and wasn't quite surprise — his mouth slightly open, his eyes wide, his brow furrowed like he'd be…"
5"It sat fixed at an angle, quivering with a faint but persistent vibration, as though it were detecting something beyond the range of ordinary instruments."
6"Freckled face, pale, green eyes that tracked Quinn's approach with an alertness that didn't match the shock-blanket posture."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags10
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount0
fancyTags(empty)
dialogueSentences35
tagDensity0.143
leniency0.286
rawRatio0
effectiveRatio0
73.9287%