Run: 2026-03-15-01KKS2PN6KMMK0TJM00P66S5VS

Run Details

Duration:
31.9s
Cost:
$0.006738
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="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> <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> </codex> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. 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 rain came down in sheets, turning the pavement into a slick of reflected neon and brake lights. Harlow Quinn ducked under the awning of a closed chip shop, her worn leather watch catching the glow of a streetlamp as she checked the time. Eleven forty-seven. Her shift had ended two hours ago. The figure she was tracking had other plans. She'd spotted him outside the Raven's Nest, that dim Soho hole-in-the-wall with the green neon sign buzzing like a dying wasp. She'd been watching the place for three weeks now, ever since the Morrison case turned up evidence of medical supplies being funneled through shell companies to addresses that didn't exist on any council register. The man had come out the back entrance, collar turned up against the drizzle, moving with the careful economy of someone who knew how not to be noticed. He'd noticed her anyway. Now he was fifty meters ahead, just a shape in the dark, weaving between late-night pedestrians on Old Compton Street. Quinn pushed off from the awning and moved after him. Her shoes slapped wet concrete. Rain plastered her closely cropped hair to her skull, salt-and-pepper threads darkened to near-black by the water. The suspect glanced back. She caught a glimpse of olive skin, curly dark hair, the glint of something metallic at his throat. Then he broke into a run. Quinn swore and followed. Eighteen years on the force had worn away whatever romantic notions she'd had about foot chases. They were ugly, exhausting things. Her lungs burned as she matched his pace, her sharp jaw set tight against the strain. People on the sidewalk scattered, a woman in a sequined dress yelping as Quinn brushed past her. The suspect cut left onto a side street, then right, then left again, working through the maze of Soho's narrow back ways with a confidence that told her he knew these streets better than she did. He was leading her somewhere. That was the calculation running through her head as her thighs screamed and the rain drove into her face. This wasn't panicked flight. This was controlled retreat. He wanted her to follow. Which meant he had somewhere to go. The thought should have made her slow down. Call for backup. Radio in her position and wait for a unit to flank. That was protocol. That was what any sensible detective with eighteen years of decorated service and a pension six years away would do. But three years ago, DS Morris had followed protocol. Morris had called for backup, waited for the unit, and then walked into a room that was empty except for a chair and a smell like burnt copper and something else, something she still couldn't name. They'd never found a body. They'd never found anything. Quinn hadn't waited for backup since. The suspect vaulted a low wall and dropped out of sight. Quinn hit the wall at speed, grabbed the wet brick, and hauled herself over. She landed in a narrow alley that sloped downward, the kind of forgotten passage that existed in the gaps between London's older buildings. At the bottom, a metal door stood ajar, warm amber light bleeding from the crack. She could hear music from inside. Something low and rhythmic, not quite melody, not quite percussion. The Saint Christopher medallion. She'd seen it clearly when he'd glanced back. Catholic, probably southern European. The scar on his forearm had been visible too, a pale ridge running from wrist to elbow. Knife work, old enough to have faded but not old enough to disappear. Combined with the way he moved, the controlled breathing she'd heard when she'd gotten close enough on Shaftesbury Avenue, she'd pegged him for military or medical training. Maybe both. The file on her desk at the station had a name attached to the Morrison case's medical supply chain. Tomás Herrera. Former NHS paramedic, license revoked eighteen months ago for unauthorized treatments. The details of those treatments had been redacted, which in Quinn's experience meant someone with more stars on their epaulets had decided she didn't need to know. She pushed through the door. The stairs beyond were steep and worn, the stone steps slick with moisture that wasn't entirely rain. The amber light came from fixtures mounted at irregular intervals, bulbs that flickered with a frequency that made her eyes ache. The air changed as she descended. Warmer. Thicker. Carrying that same undertone she'd smelled in the room where Morris had disappeared, though fainter now, diluted by something earthy, like petrichor and old books. The music grew louder. And beneath it, she could hear voices. Dozens of them, maybe more, echoing off walls that were too far away for the space she should be entering. She reached a landing. The stairs continued down, but to her left, a passage opened into what looked like an abandoned Tube station. She recognized the architecture from the old photographs she'd seen in the London Transport Museum, the distinctive tiling, the curved ceiling. But this wasn't any station she knew. The platform had been converted into something else entirely. Stalls and tables arranged in rough rows, covered in items that caught the light in ways that ordinary objects shouldn't. The people moving between them wore clothes that ranged from modern streetwear to garments she couldn't place in any decade. The Veil Market. The name surfaced from a footnote in a case file she'd read two years ago and dismissed as witness fabrication. An underground supernatural black market, the report had said, before some senior officer had crossed it out and written compartment noise in the margins. She'd believed the senior officer. She'd stopped believing senior officers the night Morris vanished. Herrera was already on the platform, walking with purpose toward the far end. He hadn't looked back. He knew she was there. He wasn't running anymore because he didn't need to. He was home. Quinn's hand drifted to her hip, where her warrant card sat in her jacket pocket. She thought about the radio on her belt, crackling with static that had gotten worse as she descended. She thought about the bone-shaped token hanging from a string around the neck of the guard stationed at the bottom of the stairs, the way his eyes had tracked her without surprise, without threat, but without welcome either. She thought about Morris. Herrera was disappearing into the crowd, and if she let him go, she might never find him again. The Market, according to that dismissed footnote, moved locations every full moon. Tonight's moon had been full, hanging fat and indifferent above London's skyline. If she walked away now, this place would be gone by tomorrow, and Herrera with it, and whatever connection he had to Morrison's death would stay buried in whatever underworld this was. But if she followed him in there, she'd be crossing a line that had nothing to do with police protocol. She'd be admitting that the world contained things she couldn't file under compartment noise. She'd be stepping into a place where her warrant card meant nothing, where eighteen years of service and a sharp jaw and military bearing couldn't protect her from whatever was being sold in glass vials and leather pouches on those tables. The guard at the stairs watched her, waiting. Quinn pulled her warrant card from her pocket, looked at it for a moment, then put it back. She descended the final steps to the platform and walked into the Veil Market.
created_at"2026-03-15T15:44:11.997Z" 3/15/2026, 3:44:11 PM
model"z-ai/glm-5-turbo-20260315"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2326
moderation_latency(null)
generation_time31851
tokens_prompt914
tokens_completion2296
native_tokens_prompt812
native_tokens_completion1862
native_tokens_completion_images(null)
native_tokens_reasoning397
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"
usage0.00673792
router(null)
provider_responses
0
endpoint_id"9ce3b132-3a17-4fea-8092-0e8e519ed32b"
id"2026031523441227dc57561b2b4e47"
is_byokfalse
latency2326
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-1773589451-yo7L3hRqNn0HuIKAwRo5"
upstream_id"2026031523441227dc57561b2b4e47"
total_cost0.00673792
cache_discount(null)
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
totalTags0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1250
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
84.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1250
totalAiIsms4
found
0
word"glint"
count1
1
word"rhythmic"
count1
2
word"flickered"
count1
3
word"echoing"
count1
highlights
0"glint"
1"rhythmic"
2"flickered"
3"echoing"
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
narrationSentences96
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences96
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences96
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen41
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1250
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions44
wordCount1250
uniqueNames21
maxNameDensity0.72
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Quinn9
Raven1
Nest1
Soho2
Morrison3
Old1
Compton1
Street1
Morris5
London3
Saint1
Christopher1
European1
Shaftesbury1
Avenue1
Herrera4
Tube1
Transport1
Museum1
Veil2
Market3
persons
0"Quinn"
1"Morrison"
2"Morris"
3"Saint"
4"Christopher"
5"Herrera"
6"Market"
places
0"Raven"
1"Soho"
2"Old"
3"Compton"
4"Street"
5"London"
6"Shaftesbury"
7"Avenue"
8"Veil"
globalScore1
windowScore1
75.37% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences67
glossingSentenceCount2
matches
0"not quite melody, not quite percussion"
1"not quite percussion"
2"looked like an abandoned Tube station"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1250
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences96
matches
0"admitting that the"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs30
mean41.67
std29.36
cv0.705
sampleLengths
053
18
283
34
452
528
64
790
837
97
1045
1154
126
1363
1416
1575
1659
175
1871
1931
20100
2147
2214
2334
2471
254
2674
2775
288
2932
90.64% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences96
matches
0"being funneled"
1"been redacted"
2"been converted"
3"being sold"
75.97% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs215
matches
0"was tracking"
1"was leading"
2"wasn't running"
3"was disappearing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences96
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1259
adjectiveStacks1
stackExamples
0"underground supernatural black market,"
adverbCount40
adverbRatio0.03177124702144559
lyAdverbCount8
lyAdverbRatio0.006354249404289118
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences96
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences96
mean13.02
std9.33
cv0.716
sampleLengths
018
126
22
37
48
521
634
728
84
920
1010
115
1217
134
1418
156
164
1716
185
1916
2017
2136
225
2319
244
254
265
277
288
293
3011
313
3220
339
3436
355
364
376
3811
3914
4023
4115
426
4310
444
458
464
4717
4813
4927
50.35% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats15
diversityRatio0.3958333333333333
totalSentences96
uniqueOpeners38
36.63% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences91
matches
0"Then he broke into a"
ratio0.011
88.13% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount30
totalSentences91
matches
0"Her shift had ended two"
1"She'd spotted him outside the"
2"She'd been watching the place"
3"He'd noticed her anyway."
4"Her shoes slapped wet concrete."
5"She caught a glimpse of"
6"They were ugly, exhausting things."
7"Her lungs burned as she"
8"He was leading her somewhere."
9"He wanted her to follow."
10"They'd never found a body."
11"They'd never found anything."
12"She landed in a narrow"
13"She could hear music from"
14"She'd seen it clearly when"
15"She pushed through the door."
16"She reached a landing."
17"She recognized the architecture from"
18"She'd believed the senior officer."
19"She'd stopped believing senior officers"
ratio0.33
36.92% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount77
totalSentences91
matches
0"The rain came down in"
1"Harlow Quinn ducked under the"
2"Her shift had ended two"
3"The figure she was tracking"
4"She'd spotted him outside the"
5"She'd been watching the place"
6"The man had come out"
7"He'd noticed her anyway."
8"Quinn pushed off from the"
9"Her shoes slapped wet concrete."
10"Rain plastered her closely cropped"
11"The suspect glanced back."
12"She caught a glimpse of"
13"Quinn swore and followed."
14"They were ugly, exhausting things."
15"Her lungs burned as she"
16"People on the sidewalk scattered,"
17"The suspect cut left onto"
18"He was leading her somewhere."
19"That was the calculation running"
ratio0.846
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences91
matches
0"Now he was fifty meters"
1"If she walked away now,"
ratio0.022
86.83% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences51
technicalSentenceCount4
matches
0"The suspect cut left onto a side street, then right, then left again, working through the maze of Soho's narrow back ways with a confidence that told her he kne…"
1"She landed in a narrow alley that sloped downward, the kind of forgotten passage that existed in the gaps between London's older buildings."
2"The amber light came from fixtures mounted at irregular intervals, bulbs that flickered with a frequency that made her eyes ache."
3"She thought about the radio on her belt, crackling with static that had gotten worse as she descended."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
90.6284%