Run: 2026-03-15-01KKS353142XHQBZ66PJEBFAMN

Run Details

Duration:
38.2s
Cost:
$0.007110
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 from the street level entrance smelled of rust and stagnant water. Harlow Quinn clicked her torch on and kept her hand close to her belt as she descended, the worn leather watch on her left wrist catching the beam with each swing of her arm. Twenty-three steps. She'd counted them on the way down during her first visit to this place three weeks ago, and she counted them now because counting was the thing that kept her mind sharp when everything else wanted to fray. The abandoned Tube station beneath Camden had been out of commission since the Blitz. Rusted signage still clung to the tiled walls. Emergency lights strung along the platform cast everything in a sickly amber glow that made the shadows pool like spilled oil. But the Veil Market wasn't supposed to be here anymore. It moved every full moon, and the moon had been fat and white just four nights past. By all her intelligence, the market should have relocated to some other forgotten corner of London. Someone had either gotten the schedule wrong, or something had gone wrong with the move itself. DC Patel was waiting on the platform, crouched near the body. He stood when he heard her footsteps and pulled on his nitrile gloves with a practiced snap. "Detective. Glad you're here. It's a strange one." Quinn studied the scene without responding immediately. The body was male, mid-fifties by the look of the weathering around his eyes, though the lighting made it difficult to be precise. He lay on his back between the rails, arms spread at his sides like a man who'd decided to take a nap on the tracks. His clothes were expensive—tailored wool coat, leather shoes that had probably cost more than Patel's monthly rent—and conspicuously clean for a man lying in decades of accumulated grime. "No train impact," she said. It wasn't a question. "None." Patel gestured at the body with his penlight. "No blunt force trauma that I can see. No visible wounds at all, actually. Pathologist is en route, but my guess is we're looking at cardiac arrest. Heart just stopped." Quinn crouched beside the body, keeping her knees off the ground. She'd learned that habit early. You stayed clean at a scene because the moment you got filth on your trousers, you stopped noticing filth elsewhere. She leaned close and studied the man's face. The expression was wrong. People who died of sudden cardiac events wore surprise or fear or slackness. This man looked peaceful. Not unconscious-peaceful. Asleep-peaceful. The kind of peaceful that required muscles to relax in a specific sequence that had nothing to do with the heart giving out. "Wallet's still in his coat," Patel continued, apparently taking her silence as invitation to keep talking. She let him. Sometimes junior detectives talked themselves into useful observations. "Cash, cards, driving licence. Name's Edmund Ashworth. Address in Mayfair. No signs of a struggle, no defensive wounds. You see this a lot with wealthy types who come down to these places looking for thrills. They take something they shouldn't, their system can't handle it, and boom. Heart gives out." He said it with the easy confidence of a man who had already filed this case in his mental cabinet under Tragic But Straightforward. Quinn could see why. On the surface, everything pointed that direction. Rich man slumming in a dangerous place. Bad decision, fatal consequence. Case closed, paperwork done, home by six. But Quinn had stopped believing in straightforward three years ago, when DS Morris had died in a room that was locked from the inside with no visible cause of death and an expression on his face that looked like he'd seen something eating the dark. She shifted her attention from the body to the ground around it. This was where Patel had gone wrong. He'd looked at the man and stopped. Quinn looked at the space the man occupied, because a body was just an object until you understood the context that shaped it. The dust on the platform was undisturbed in a perfect circle roughly four feet in diameter around the corpse. Outside that circle, there were the expected footprints—market-goers, probably from before the relocation, their tracks overlapping and chaotic. But inside the circle, nothing. Not a single print leading to where Ashworth lay, and not a single print leading away. It was as if he had simply appeared in that spot and died. "Patel." She kept her voice level. "Did you notice the dust?" He blinked and crouched beside her, following the beam of her torch. When he saw it, his expression flickered through confusion before settling on rationalization. "Could be wind. These old stations have strange airflow patterns. The Circle Line tunnels connect—" "There's no wind down here. I've been in this station four times now and the air is completely still." She let a beat pass. "Also, look at his shoes." Patel trained his light on Ashworth's feet. The leather was immaculate. Not a speck of the grime that coated every other surface in the station. Not a scuff from the rough platform edge, not a grain of the black sediment that had accumulated on the tracks over seventy years of abandonment. "He didn't walk here," Quinn said. Patel opened his mouth, closed it, opened it again. "Maybe someone carried him?" "Without leaving prints? Without disturbing the dust in a four-foot radius? Without scuffing his shoes against anything?" She stood and swept her torch along the platform. The amber emergency lights made it difficult to see details clearly, but she'd learned to work with bad lighting. "Check the walls. Look for any signs of a break-in point that doesn't match the usual entry methods for this place." While Patel moved down the platform, Quinn reached into her coat pocket and pulled out the small brass compass she'd acquired three weeks ago. The Veil Compass was warm against her palm, warmer than it should have been in the cool underground air. Its casing had a patina of verdigris that her thumb knew by heart now, and the face was etched with protective sigils she'd photographed and sent to a contact at the British Museum who had told her, in very careful academic language, that they predated any known human writing system. The needle spun lazily, then stopped. It wasn't pointing north. It was pointing at the body. Quinn felt the skin along her sharp jaw tighten. The compass was supposed to point toward supernatural rifts and portals. If it was locked on Ashworth, that meant one of two things. Either the man had come through a rift and died at the point of arrival, or something had come through a rift and killed him where he stood. She heard footsteps on the stairs and turned her torch toward the sound. A small figure descended into the amber glow, curly red hair catching the light like copper wire, round glasses reflecting twin circles of emergency illumination. Eva Kowalski stopped three steps from the bottom, her worn leather satchel pressed against her hip, and tucked a strand of hair behind her left ear with trembling fingers. "Detective Quinn." Her voice was carefully neutral, but Quinn could see the pulse jumping in her throat. "I got your message." "You came quickly." "You said it was important." Eva's green eyes moved to the body on the tracks, and something shifted in her expression. Not surprise. Recognition. Quinn noticed. She noticed everything. "Patel," she called without turning. "Take a break. Check the street entrance, see if there are any cameras that might have picked up our victim arriving." She heard Patel hesitate, then comply. His footsteps retreated up the stairs. When the sound faded, Quinn turned back to Eva and held up the compass, its needle still fixed on the corpse. "Edmund Ashworth," Quinn said. "You know him." Eva's hand drifted to her satchel strap. "He was a collector. Acquired things for wealthy clients who didn't want to go through legitimate channels." "Supernatural things." A pause. Then a small nod. "And the compass is pointing at him, not away from him. Which means he wasn't killed by something that came through. He came through." Quinn watched Eva's face the way she'd watched suspects for eighteen years, looking for the flinch, the flicker, the tell. "The market moved four nights ago, but Ashworth is here, in a station that should be empty, with no footprints leading to his body and shoes clean enough to pass inspection at a Mayfair tailor. So either he teleported, or he came through a rift that opened right where he's lying. And either way, someone knew this was going to happen." Eva tucked her hair behind her ear again. Her fingers were shaking harder now. "What aren't you telling me, Ms. Kowalski?" The red-haired woman looked at the body, then at the compass, then at Quinn. Her mouth worked silently for a moment, and when she finally spoke, her voice had dropped to barely above a whisper. "The Veil Market didn't move on schedule this month. Something kept it anchored here. And I think Edmund Ashworth found out what."
created_at"2026-03-15T15:52:04.908Z" 3/15/2026, 3:52:04 PM
model"z-ai/glm-5-turbo-20260315"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2024
moderation_latency(null)
generation_time38150
tokens_prompt923
tokens_completion2636
native_tokens_prompt842
native_tokens_completion2169
native_tokens_completion_images(null)
native_tokens_reasoning320
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"
usage0.007110144
router(null)
provider_responses
0
endpoint_id"9ce3b132-3a17-4fea-8092-0e8e519ed32b"
id"202603152352053328a23b2811444a"
is_byokfalse
latency2024
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-1773589924-V6ZMw1WuGITruZqY2ssv"
upstream_id"202603152352053328a23b2811444a"
total_cost0.007110144
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
totalTags12
adverbTagCount0
adverbTags(empty)
dialogueSentences29
tagDensity0.414
leniency0.828
rawRatio0
effectiveRatio0
80.43% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1533
totalAiIsmAdverbs6
found
0
adverb"completely"
count1
1
adverb"very"
count1
2
adverb"lazily"
count1
3
adverb"carefully"
count1
4
adverb"quickly"
count1
5
adverb"barely above a whisper"
count1
highlights
0"completely"
1"very"
2"lazily"
3"carefully"
4"quickly"
5"barely above a whisper"
80.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Patel"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
64.12% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1533
totalAiIsms11
found
0
word"footsteps"
count3
1
word"silence"
count1
2
word"perfect"
count1
3
word"chaotic"
count1
4
word"flickered"
count1
5
word"etched"
count1
6
word"pulse"
count1
7
word"flicker"
count1
8
word"whisper"
count1
highlights
0"footsteps"
1"silence"
2"perfect"
3"chaotic"
4"flickered"
5"etched"
6"pulse"
7"flicker"
8"whisper"
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)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences93
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences110
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen61
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1529
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions11
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions47
wordCount1167
uniqueNames17
maxNameDensity1.29
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Quinn15
Tube1
Camden1
Blitz1
Veil2
Market1
London1
Patel9
Tragic1
Straightforward1
Morris1
Ashworth3
Compass1
British1
Museum1
Kowalski1
Eva6
persons
0"Quinn"
1"Camden"
2"Market"
3"Patel"
4"Morris"
5"Ashworth"
6"Kowalski"
7"Eva"
places
0"London"
1"Straightforward"
2"Compass"
3"British"
globalScore0.857
windowScore0.667
39.71% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences68
glossingSentenceCount3
matches
0"tel continued, apparently taking her silence"
1"looked like he'd seen something eating th"
2"It was as if he had simply appeared in that spot and died"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1529
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences110
matches
0"learned that habit"
1"pointed that direction"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs39
mean39.21
std30.89
cv0.788
sampleLengths
088
1102
228
38
483
59
639
791
877
953
1045
1149
1271
1311
1440
1529
1651
176
1813
1966
2093
2116
2260
2367
2421
253
2624
275
2826
2933
307
3124
322
336
34105
3514
367
3735
3822
90.17% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences93
matches
0"was undisturbed"
1"was etched"
2"was supposed"
3"was locked"
61.83% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs193
matches
0"was waiting"
1"wasn't pointing"
2"was pointing"
3"were shaking"
90.91% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences2
totalSentences110
ratio0.018
matches
0"His clothes were expensive—tailored wool coat, leather shoes that had probably cost more than Patel's monthly rent—and conspicuously clean for a man lying in decades of accumulated grime."
1"Outside that circle, there were the expected footprints—market-goers, probably from before the relocation, their tracks overlapping and chaotic."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1176
adjectiveStacks0
stackExamples(empty)
adverbCount36
adverbRatio0.030612244897959183
lyAdverbCount18
lyAdverbRatio0.015306122448979591
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences110
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences110
mean13.9
std11.52
cv0.829
sampleLengths
014
134
22
338
414
58
621
710
817
916
1016
1111
1217
138
147
1523
1625
1728
185
194
209
2130
2211
235
2420
258
264
2713
284
292
301
3123
3216
333
348
3550
3624
374
387
397
404
417
4245
4312
447
457
4623
4719
4818
495
79.09% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.4909090909090909
totalSentences110
uniqueOpeners54
80.32% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences83
matches
0"Sometimes junior detectives talked themselves"
1"Then a small nod."
ratio0.024
80.24% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount29
totalSentences83
matches
0"She'd counted them on the"
1"It moved every full moon,"
2"He stood when he heard"
3"He lay on his back"
4"His clothes were expensive—tailored wool"
5"It wasn't a question."
6"She'd learned that habit early."
7"You stayed clean at a"
8"She leaned close and studied"
9"She let him."
10"He said it with the"
11"She shifted her attention from"
12"He'd looked at the man"
13"It was as if he"
14"She kept her voice level"
15"He blinked and crouched beside"
16"She let a beat pass"
17"She stood and swept her"
18"Its casing had a patina"
19"It wasn't pointing north."
ratio0.349
68.43% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount65
totalSentences83
matches
0"The stairs down from the"
1"Harlow Quinn clicked her torch"
2"She'd counted them on the"
3"The abandoned Tube station beneath"
4"Emergency lights strung along the"
5"It moved every full moon,"
6"Someone had either gotten the"
7"DC Patel was waiting on"
8"He stood when he heard"
9"Quinn studied the scene without"
10"The body was male, mid-fifties"
11"He lay on his back"
12"His clothes were expensive—tailored wool"
13"It wasn't a question."
14"Patel gestured at the body"
15"Quinn crouched beside the body,"
16"She'd learned that habit early."
17"You stayed clean at a"
18"She leaned close and studied"
19"The expression was wrong."
ratio0.783
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount3
totalSentences83
matches
0"While Patel moved down the"
1"If it was locked on"
2"Either the man had come"
ratio0.036
26.58% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences43
technicalSentenceCount7
matches
0"Emergency lights strung along the platform cast everything in a sickly amber glow that made the shadows pool like spilled oil."
1"His clothes were expensive—tailored wool coat, leather shoes that had probably cost more than Patel's monthly rent—and conspicuously clean for a man lying in de…"
2"The kind of peaceful that required muscles to relax in a specific sequence that had nothing to do with the heart giving out."
3"He said it with the easy confidence of a man who had already filed this case in his mental cabinet under Tragic But Straightforward."
4"But Quinn had stopped believing in straightforward three years ago, when DS Morris had died in a room that was locked from the inside with no visible cause of d…"
5"Not a scuff from the rough platform edge, not a grain of the black sediment that had accumulated on the tracks over seventy years of abandonment."
6"Its casing had a patina of verdigris that her thumb knew by heart now, and the face was etched with protective sigils she'd photographed and sent to a contact a…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount1
fancyTags
0"Patel continued (continue)"
dialogueSentences29
tagDensity0.172
leniency0.345
rawRatio0.2
effectiveRatio0.069
86.9501%