Run: 2026-09-02-01M1H5K4NPQ4EJTEM4R9SD9W89

Run Details

Duration:
5m 38s
Cost:
$0.000427
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 Soho's neon into smeared watercolor, and Detective Harlow Quinn was three paces behind a man she'd been hunting for six weeks when he bolted. She'd almost had him. The Raven's Nest had been quiet that night — just the green sign buzzing above the door like a sickly halo, Silas wiping glasses behind the bar with the untroubled air of a man who'd never once called the police. Quinn had come in on a pretext, ordered a lager she didn't touch, and then Herrera had walked in for a bottle of tequila and walked out again at speed when he clocked her sitting at the end of the bar. "Detective," he'd said, all warm brown eyes and cold calculation, "always a pleasure." Then he ran. She went after him, shoulder-checking the door, her worn leather watch biting into her wrist as she pumped her arms. Herrera moved like he'd done this before — not the panicked sprint of a cornered man but the efficient lope of someone following a rehearsed route. He cut left off Dean Street, hurdled a recycling bin, scattering its contents across the glistening pavement, and Quinn vaulted it two seconds later, boots splashing through week-old flyers and fag ends. "Police!" she shouted, knowing it was pointless. Nobody in Soho at midnight called the police. Everybody in Soho at midnight had a reason not to. He turned down a service alley behind the restaurants, and she heard him knock over crates, heard glass shatter somewhere behind her. Her lungs burned. Eighteen years on the job had taught her the arithmetic of chases — this one wasn't going to end in exhaustion. He knew where he was going. She didn't. He vanished down a set of stairs. She reached the top of them and stopped, rain streaming off her cropped hair, dripping from her sharp jaw. The stairs descended into darkness beneath a rusted gate marked CLOSED FOR MAINTENANCE — TRANSPORT FOR LONDON. An abandoned Tube station. No lights. No visible exit at the bottom. The rain drummed on her shoulders and ran down the back of her collar. Somewhere in her chest, the old wound stirred — Morris, three years gone, and the case she'd never closed. The last time she'd followed a lead into a place she didn't understand, she'd come back alone. She'd told herself a hundred versions of that night. None of them held water. Herrera had a knife scar on his left forearm and a Saint Christopher medal around his neck, and she'd read his file so many times she could recite it. Former paramedic. Struck off the register. Rumors she'd dismissed as unprofessional gossip — that he treated patients who didn't exist on any NHS record. Patients that couldn't exist. She drew her sidearm and started down the stairs. The rain fell away behind her like a curtain drawn shut. The dark swallowed her in stages — first the glow of the city, then the sound, until there was only the drip of water somewhere deep and the cold breath of the tunnels rising to meet her. Her torch beam cut a white cone through the black. Old posters on the walls, peeling. Tiles cracked. And painted on the wall at the bottom of the stairs, in something that gleamed faintly wet even where rain couldn't reach, a symbol she didn't recognize. Her radio hissed static. Then, oddly, it played a snatch of music — a Spanish guitar, faint and distorted, gone before she could be sure. She clicked it off. At the tunnel's end, a light burned. She moved toward it with the discipline of years — checked corners, kept her weapon low and indexed, controlled her breathing. The tunnel opened into a chamber that had once been a platform, and it was now something out of a fever dream. Stalls. Dozens of them, strung along the platform and spilling onto the tracks, lit by lanterns that burned without fuel. A market, underground, humming with voices. And the people — or the things wearing people. A woman at a stall of glass vials whose shadow moved a half-second behind her. A merchant with no face beneath his wide-brimmed hat, negotiating with a customer over what looked like a jar of teeth. Maps and sigils chalked on the platform edge. The smell of ozone and old stone and something like incense gone wrong. The Veil Market. She'd heard the phrase once, in a statement she'd buried in a file, from a witness she'd written off as insane. Moves every full moon. You need a token to get in. Nobody stopped her. That frightened her more than anything else. Eyes — too many eyes, some of them wrong — turned toward her sidearm and turned away again, and the crowd simply opened, swallowing her, indifferent as the sea. She spotted Herrera's dark curls at the edge of the lamplight, thirty meters off, speaking urgently to a stallholder. She pushed forward. The crowd had a texture to it, a current, and she fought against it, shoulders brushing things she chose not to look at. A hand closed on her arm. An old woman, scarves piled on her head, eyes clouded white as boiled milk. "You're not carrying a token," the woman said. Her breath smelled of cloves. "You shouldn't be here, detective. The door only opened for you because someone's been walking this world and yours both, and the Market's grown confused about borders." "Then let me through. I'm just here for one man." The old woman laughed, low and dry. "One man. Yes. That's how it always starts." She released Quinn's arm and pressed something into her palm — small, smooth, cold as riverbed stone. A token carved from bone, worn soft by handling. "For the way back. Don't lose it. The Market remembers everyone who enters without one, and it has a long memory and short mercy." Quinn looked down at the token, and when she looked up, the old woman was gone, dissolved into the crowd like rain into rain. Herrera was moving again, slipping past a stall hung with cages of sleeping birds that shouldn't have existed, heading toward the dark mouth of the northbound tunnel. She followed, weapon still drawn, weaving between a fortune-teller's table and a rack of blades that hummed when she passed. He reached the tunnel mouth. Stopped. Turned, and for a moment his face was lit by the lantern-glow — the olive skin, the warm eyes, the medal glinting at his throat. "You don't understand what you're walking into, Quinn," he called back. Not mocking. Almost kind. "Go home. Take your bone token and go home. There are doors down here that don't close again." "That's what they said about you," she said. "I'm here to bring you in, Tommy. Talk to me. Make it easy." He looked at her for a long moment, rain-drenched cop and off-the-books medic, the lantern light and the darkness divided between them. "Three years ago," he said quietly, "someone asked me the same question you're about to ask yourself. I made the wrong choice, and I've been down here ever since." He touched his medallion, once, like a man touching a wound. "I'm sorry about your partner. I really am. But if you come one step further, you're going to learn things about the world that you can't unlearn, and I won't be able to protect you from them." The tunnel behind him breathed cold. Somewhere far down it, in the deep dark of the dead line, something answered — a long, low sound, half whistle, half voice. Quinn tightened her grip on the token and the pistol both. She stepped forward.
created_at"2026-09-02T13:40:32.572Z" 9/2/2026, 1:40:32 PM
model"z-ai/glm-5.3-flash-20260826"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency10864
moderation_latency(null)
generation_time338144
tokens_prompt888
tokens_completion1852
native_tokens_prompt819
native_tokens_completion1645
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached768
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)
usage0.000426595
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788356432-5yGDkfH6Ffn2ga8p0DRL"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788356432-cMkf2WVPo9YTRBexSKXD"
upstream_id"202609022140326ed4a805110242ac"
provider_responses
0
endpoint_id"8e9fe48b-2f91-41c3-a8a7-e4a93a8c4ff0"
id"202609022140326ed4a805110242ac"
is_byokfalse
latency10864
model_permaslug"z-ai/glm-5.3-flash-20260826"
provider_name"Z.AI"
status200
total_cost0.000426595
cache_discount0.00009216
upstream_inference_cost0
provider_name"Z.AI"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
57.14% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags7
adverbTagCount1
adverbTags
0"he said quietly [quietly]"
dialogueSentences13
tagDensity0.538
leniency1
rawRatio0.143
effectiveRatio0.143
96.08% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1275
totalAiIsmAdverbs1
found
0
adverb"really"
count1
highlights
0"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)
80.39% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1275
totalAiIsms5
found
0
word"efficient"
count1
1
word"glistening"
count1
2
word"streaming"
count1
3
word"indexed"
count1
4
word"glinting"
count1
highlights
0"efficient"
1"glistening"
2"streaming"
3"indexed"
4"glinting"
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
narrationSentences87
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences87
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences93
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen41
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1290
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions28
wordCount1103
uniqueNames17
maxNameDensity0.54
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Soho3
Detective1
Harlow1
Quinn6
Raven1
Nest1
Silas1
Herrera5
Dean1
Street1
Tube1
Morris1
Saint1
Christopher1
Spanish1
Veil1
Market1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Nest"
4"Silas"
5"Herrera"
6"Morris"
7"Saint"
8"Christopher"
places
0"Soho"
1"Dean"
2"Street"
globalScore1
windowScore1
66.67% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences60
glossingSentenceCount2
matches
0"looked like a jar of teeth"
1"something like incense gone wrong"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.775
wordCount1290
matches
0"not the panicked sprint of a cornered man but the efficient lope of someone following a rehearsed route"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences93
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs34
mean37.94
std24.96
cv0.658
sampleLengths
031
185
213
33
478
525
654
77
862
950
1057
119
1293
1329
147
1569
1666
1735
1839
1945
2020
2140
2210
2365
2424
2547
2631
2733
2821
2922
3077
3129
3211
333
97.20% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences87
matches
0"was gone"
1"was lit"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs181
matches
0"was going"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount15
semicolonCount0
flaggedSentences14
totalSentences93
ratio0.151
matches
0"The Raven's Nest had been quiet that night — just the green sign buzzing above the door like a sickly halo, Silas wiping glasses behind the bar with the untroubled air of a man who'd never once called the police."
1"Herrera moved like he'd done this before — not the panicked sprint of a cornered man but the efficient lope of someone following a rehearsed route."
2"Eighteen years on the job had taught her the arithmetic of chases — this one wasn't going to end in exhaustion."
3"The stairs descended into darkness beneath a rusted gate marked CLOSED FOR MAINTENANCE — TRANSPORT FOR LONDON."
4"Somewhere in her chest, the old wound stirred — Morris, three years gone, and the case she'd never closed."
5"Rumors she'd dismissed as unprofessional gossip — that he treated patients who didn't exist on any NHS record."
6"The dark swallowed her in stages — first the glow of the city, then the sound, until there was only the drip of water somewhere deep and the cold breath of the tunnels rising to meet her."
7"Then, oddly, it played a snatch of music — a Spanish guitar, faint and distorted, gone before she could be sure."
8"She moved toward it with the discipline of years — checked corners, kept her weapon low and indexed, controlled her breathing."
9"And the people — or the things wearing people."
10"Eyes — too many eyes, some of them wrong — turned toward her sidearm and turned away again, and the crowd simply opened, swallowing her, indifferent as the sea."
11"\"One man. Yes. That's how it always starts.\" She released Quinn's arm and pressed something into her palm — small, smooth, cold as riverbed stone."
12"Turned, and for a moment his face was lit by the lantern-glow — the olive skin, the warm eyes, the medal glinting at his throat."
13"Somewhere far down it, in the deep dark of the dead line, something answered — a long, low sound, half whistle, half voice."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1097
adjectiveStacks0
stackExamples(empty)
adverbCount33
adverbRatio0.0300820419325433
lyAdverbCount7
lyAdverbRatio0.006381039197812215
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences93
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences93
mean13.87
std10.36
cv0.747
sampleLengths
031
14
240
341
413
53
620
726
832
97
108
1110
1222
133
1421
156
162
177
1819
1917
204
212
226
2314
2419
2517
269
275
2829
292
304
3118
324
339
3411
3537
3610
376
382
3927
404
4121
424
437
4421
4522
461
4719
486
499
68.10% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.44086021505376344
totalSentences93
uniqueOpeners41
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences78
matches
0"Then he ran."
1"Somewhere in her chest, the"
2"Then, oddly, it played a"
3"Somewhere far down it, in"
ratio0.051
76.41% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount28
totalSentences78
matches
0"She'd almost had him."
1"he'd said, all warm brown"
2"She went after him, shoulder-checking"
3"He cut left off Dean"
4"she shouted, knowing it was"
5"He turned down a service"
6"Her lungs burned."
7"He knew where he was"
8"He vanished down a set"
9"She reached the top of"
10"She'd told herself a hundred"
11"She drew her sidearm and"
12"Her torch beam cut a"
13"Her radio hissed static."
14"She clicked it off."
15"She moved toward it with"
16"She'd heard the phrase once,"
17"You need a token to"
18"She spotted Herrera's dark curls"
19"She pushed forward."
ratio0.359
36.92% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount66
totalSentences78
matches
0"The rain came down in"
1"She'd almost had him."
2"The Raven's Nest had been"
3"Quinn had come in on"
4"he'd said, all warm brown"
5"She went after him, shoulder-checking"
6"Herrera moved like he'd done"
7"He cut left off Dean"
8"she shouted, knowing it was"
9"Nobody in Soho at midnight"
10"Everybody in Soho at midnight"
11"He turned down a service"
12"Her lungs burned."
13"He knew where he was"
14"He vanished down a set"
15"She reached the top of"
16"The stairs descended into darkness"
17"An abandoned Tube station."
18"The rain drummed on her"
19"The last time she'd followed"
ratio0.846
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences78
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences39
technicalSentenceCount2
matches
0"The Raven's Nest had been quiet that night — just the green sign buzzing above the door like a sickly halo, Silas wiping glasses behind the bar with the untroub…"
1"Herrera was moving again, slipping past a stall hung with cages of sleeping birds that shouldn't have existed, heading toward the dark mouth of the northbound t…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount0
matches(empty)
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount2
fancyTags
0"he'd (would)"
1"she shouted (shout)"
dialogueSentences13
tagDensity0.385
leniency0.769
rawRatio0.4
effectiveRatio0.308
82.6304%