Run: 2026-09-02-01M1H57EG347WNN8JDKDXDMPK9

Run Details

Duration:
2m 52s
Cost:
$0.001508
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 green neon sign above the Raven's Nest bled its color into the rain, turning the puddles outside the bar into something that looked like antifreeze. Harlow Quinn had been watching that sign for six hours from the driver's seat of an unmarked Vauxhall, long enough that the letters had burned themselves onto the inside of her eyelids. She checked her watch out of habit rather than need. 12:14. The worn leather strap had darkened with three weeks of this, her skin's salt worked into it the way it had worked into everything else she'd owned for eighteen years. The bar had closed at eleven. The last punters had spilled out smelling of lager and lies, and still she'd waited, because three weeks of surveillance had taught her that the Nest's real business started after the lights went down. There was a bookshelf in the back, her informant had told her, that opened onto a room that didn't appear on any lease. She'd thought he was a fantasist until she'd matched his description against the architect's drawings and found six feet of missing floor. And there was a word that kept surfacing in her case notes, dropped by witnesses who wouldn't meet her eyes. The Market. She'd assumed it was fence slang. She was starting to suspect she'd been reading the whole file in the wrong language. The kitchen door opened at 12:20, spilling a wedge of yellow light into the rain. The man who came out carried a canvas medical bag and moved like a man who'd been taught to move. Tomás Herrera. Twenty-nine, former paramedic, struck off the register for treatments no hospital board could explain. He was her thread. The kid who'd died in the Whitechapel stairwell two weeks ago — the girl with the chemical burns that no fire had made, the sutures in her arm that matched no hospital, no clinic, no legitimate practice in greater London — Herrera's sutures. Quinn had pulled the pattern from the post-mortem photographs herself and matched them to a training manual from the Andalusian health service. He stood under the sign's dead green glow and read the street. Left. Right. Up at the rooflines. That was tradecraft. Paramedics didn't learn that in trauma response courses. She sank lower in the seat until the rain on the windscreen blurred him into a smudge, and she gave him sixty seconds before she got out and followed. The rain worked in her favor. It drove everyone off the pavement and drowned her footsteps, and it plastered his dark curls flat so that he kept one hand up shielding his eyes instead of the back of his head where a tail would be. He went north on foot, through Soho's glistening canyon of shut shops, doubling once through a mews off Frith Street in a way that told her he'd done this before. Not drunk. Not staggering. Not carrying medical supplies to a sick friend. Running a route. She kept the distance loose and let the rain do the work, and she might have held him all the way to wherever he was going if Center Point hadn't betrayed her. He paused at the wide black glass of a closed restaurant, and the green neon of a distant sign flashed in it, and in that flash her own silhouette moved — cropped hair, sharp jaw, the particular set of a woman walking with intent. Eighteen years on the job and undone by bad luck and wet glass. He ran. She ran. He was twenty-nine and quick and he knew the ground, vaulting a cycle rack on Tottenham Court Road without breaking stride, and her knee let her know exactly how many birthdays she had on him. But she'd spent two decades learning how people ran — where they looked, when they decided, which way their weight would cheat them — and when he flicked a glance left at the green of Mornington Crescent she was already reading it. He cut off Camden High Street, down behind a shuttered arcade whose corrugated shutters wore sheets of running water, and into a gap in a building hoarding that she'd have sworn was solid from the front. The gap breathed warm air at her. She stopped at the edge of it, chest heaving, rain running off her jaw, and looked at what the hoarding had been hiding. Rusted gates, chained but not locked, chained the way you chain something no one is meant to notice is there. Behind them, steps going down beside the fossilized shell of an escalator, and on the wall above the entrance, half the enamel letters still clinging: SOUTH KENTISH TOWN. A ghost station. Dead since before her grandparents could drive. Herrera was already halfway down. She went through the gap and took the steps fast, one hand on the wet rail, and the temperature climbed as she dropped, the rain-noise of the city fading above her until her own breath was the loudest thing in the world. The tiles down here were the old glazed kind, cream and bottle-green, weeping condensation. Someone had swept the platform. That was the detail that stopped her feet for a half second. Someone swept a station that had been dead for a hundred years. Around a tiled arch, by the light of a lantern turned down to a coal-orange murmur, sat a booth of black iron grillework, and inside the booth sat a figure she couldn't describe afterward if she tried — a shape like a person the way a glove is like a hand. Herrera stood at the grille. He pressed something small and pale against a slot, and she heard it click home like a coin in a turnstile, and somewhere beneath her feet a mechanism woke with a sound like a spine cracking. Then the gate in the archway ground open, and from beyond it came light and noise — lantern-glow on tile, a murmur of a crowd, a hundred conversations in a space that should have held only rats and standing water. Herrera kissed his thumb, which had touched a small silver medallion at his throat — Saint Christopher, patron of travelers, and she thought: he's afraid. Then he looked back and saw her, and there was no fear in it, only a bleak kind of apology. "Don't follow me," he said. "Please. Whatever you think you're chasing, it's not down there. It's just where it sells things." Then he was through, and the gate was grinding shut, and she was alone with the lantern and the thing in the booth and a decision. Everything in her, eighteen years of procedure with its good bones and clean joints, said stop. Call it in. Secure the scene — except her radio had been losing bars since the second step down, and what exactly would she transmit? Suspect entered a disused Tube station through a gate that opens for coins made of bone. She could hear the desk sergeant's face. She was off the books tonight, alone, on a hunch stitched together from a dead girl's sutures and a fantasist's story about a bookshelf. The worn watch on her left wrist said 12:51. Three years ago tonight, almost to the minute, DS Morris had died in a lockup full of things the coroner's report called unexplained, and she'd been carrying one of those things in her inside pocket since the funeral. A small disc, yellowed, porous at the edge. Bone, the lab had said, unable to tell her more. She'd told herself she carried it as evidence. She took it out now, and her hands were steadier than they had any right to be, and she walked to the grille. "Token," said the thing in the booth. She posted the disc through the slot. The grille's interior went quiet. When the voice came again it was slower, and it had a texture like something dragged across stone. "Old bone. It remembers dying. Whose?" "A police officer," she said. "Good at his job. Bad at staying alive." The gate shuddered, hesitated — and opened. "Last night under Camden," the voice said. "After tonight the Market is elsewhere, and none but the invited will ever find it. Whatever you're going to do down there, do it before the moon sets." Beyond the arch, steps descended toward lantern light and the low roar of a crowd, and Harlow Quinn stood at the top of them with the rain drying on her collar and every sound instinct she owned screaming at her to turn around. She thought of Morris. She thought of a dead girl's arm and the neat, careful stitches in it, done by a man who'd said please. She went down into the dark, and the gate closed behind her like a held breath.
created_at"2026-09-02T13:34:09.417Z" 9/2/2026, 1:34:09 PM
model"z-ai/glm-5.3-flash-20260826"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2826
moderation_latency(null)
generation_time171523
tokens_prompt888
tokens_completion6445
native_tokens_prompt819
native_tokens_completion5787
native_tokens_completion_images(null)
native_tokens_reasoning3988
native_tokens_cached0
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)
usage0.001508175
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788356049-9Vrdva44SAR3cL0Ac9uy"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788356049-byrc8cbNMVRXvUxUx6Br"
upstream_id"202609022134097a028505ed3446a3"
provider_responses
0
endpoint_id"8e9fe48b-2f91-41c3-a8a7-e4a93a8c4ff0"
id"202609022134097a028505ed3446a3"
is_byokfalse
latency2826
model_permaslug"z-ai/glm-5.3-flash-20260826"
provider_name"Z.AI"
status200
total_cost0.001508175
cache_discount(null)
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
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences8
tagDensity0.375
leniency0.75
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1459
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)
86.29% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1459
totalAiIsms4
found
0
word"footsteps"
count1
1
word"glistening"
count1
2
word"weight"
count1
3
word"flicked"
count1
highlights
0"footsteps"
1"glistening"
2"weight"
3"flicked"
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
narrationSentences85
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences85
filterMatches
0"watch"
1"know"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences89
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen51
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1469
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions11
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions36
wordCount1400
uniqueNames26
maxNameDensity0.36
worstName"Herrera"
maxWindowNameDensity1
worstWindowName"Nest"
discoveredNames
Raven1
Nest2
Quinn3
Vauxhall1
Market1
Herrera5
Whitechapel1
London1
Andalusian1
Soho1
Frith1
Street2
Center1
Point1
Tottenham1
Court1
Road1
Mornington1
Crescent1
Camden1
High1
Saint1
Christopher1
Tube1
Morris2
Harlow2
persons
0"Raven"
1"Nest"
2"Quinn"
3"Herrera"
4"Saint"
5"Christopher"
6"Morris"
7"Harlow"
places
0"Vauxhall"
1"Whitechapel"
2"London"
3"Andalusian"
4"Soho"
5"Frith"
6"Street"
7"Center"
8"Point"
9"Tottenham"
10"Court"
11"Road"
12"Mornington"
13"Crescent"
14"Camden"
15"High"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences62
glossingSentenceCount1
matches
0"looked like antifreeze"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1469
matches(empty)
91.76% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences89
matches
0"watching that sign"
1"hoarding that she'd"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs31
mean47.39
std36.89
cv0.778
sampleLengths
099
185
243
3120
458
590
689
72
82
9113
107
1181
1290
1392
1440
1545
1621
1726
1888
1973
2023
217
227
2323
246
2513
267
2735
2843
2925
3016
97.01% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences85
matches
0"been taught"
1"is meant"
82.53% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs227
matches
0"was starting"
1"was going"
2"was already reading"
3"was grinding"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount10
semicolonCount0
flaggedSentences8
totalSentences89
ratio0.09
matches
0"The kid who'd died in the Whitechapel stairwell two weeks ago — the girl with the chemical burns that no fire had made, the sutures in her arm that matched no hospital, no clinic, no legitimate practice in greater London — Herrera's sutures."
1"He paused at the wide black glass of a closed restaurant, and the green neon of a distant sign flashed in it, and in that flash her own silhouette moved — cropped hair, sharp jaw, the particular set of a woman walking with intent."
2"But she'd spent two decades learning how people ran — where they looked, when they decided, which way their weight would cheat them — and when he flicked a glance left at the green of Mornington Crescent she was already reading it."
3"Around a tiled arch, by the light of a lantern turned down to a coal-orange murmur, sat a booth of black iron grillework, and inside the booth sat a figure she couldn't describe afterward if she tried — a shape like a person the way a glove is like a hand."
4"Then the gate in the archway ground open, and from beyond it came light and noise — lantern-glow on tile, a murmur of a crowd, a hundred conversations in a space that should have held only rats and standing water."
5"Herrera kissed his thumb, which had touched a small silver medallion at his throat — Saint Christopher, patron of travelers, and she thought: he's afraid."
6"Secure the scene — except her radio had been losing bars since the second step down, and what exactly would she transmit?"
7"The gate shuddered, hesitated — and opened."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1397
adjectiveStacks0
stackExamples(empty)
adverbCount26
adverbRatio0.018611309949892626
lyAdverbCount4
lyAdverbRatio0.002863278453829635
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences89
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences89
mean16.51
std13.02
cv0.789
sampleLengths
026
132
210
31
430
56
634
723
822
920
102
116
1215
1315
1420
152
1614
174
1843
1922
2012
211
221
234
243
258
2629
276
2839
2930
302
312
328
333
3432
3544
3613
372
382
3935
4042
4136
427
4323
4420
4528
463
477
485
4942
68.18% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats10
diversityRatio0.4772727272727273
totalSentences88
uniqueOpeners42
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences74
matches
0"Then the gate in the"
1"Then he looked back and"
2"Then he was through, and"
ratio0.041
90.27% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount24
totalSentences74
matches
0"She checked her watch out"
1"She'd thought he was a"
2"She'd assumed it was fence"
3"She was starting to suspect"
4"He was her thread."
5"He stood under the sign's"
6"She sank lower in the"
7"It drove everyone off the"
8"He went north on foot,"
9"She kept the distance loose"
10"He paused at the wide"
11"He was twenty-nine and quick"
12"He cut off Camden High"
13"She stopped at the edge"
14"She went through the gap"
15"He pressed something small and"
16"She could hear the desk"
17"She was off the books"
18"She'd told herself she carried"
19"She took it out now,"
ratio0.324
100.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount51
totalSentences74
matches
0"The green neon sign above"
1"Harlow Quinn had been watching"
2"She checked her watch out"
3"The worn leather strap had"
4"The bar had closed at"
5"The last punters had spilled"
6"She'd thought he was a"
7"She'd assumed it was fence"
8"She was starting to suspect"
9"The kitchen door opened at"
10"The man who came out"
11"He was her thread."
12"The kid who'd died in"
13"Quinn had pulled the pattern"
14"He stood under the sign's"
15"That was tradecraft."
16"Paramedics didn't learn that in"
17"She sank lower in the"
18"The rain worked in her"
19"It drove everyone off the"
ratio0.689
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences74
matches(empty)
ratio0
53.57% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences48
technicalSentenceCount6
matches
0"The green neon sign above the Raven's Nest bled its color into the rain, turning the puddles outside the bar into something that looked like antifreeze."
1"The kid who'd died in the Whitechapel stairwell two weeks ago — the girl with the chemical burns that no fire had made, the sutures in her arm that matched no h…"
2"He went north on foot, through Soho's glistening canyon of shut shops, doubling once through a mews off Frith Street in a way that told her he'd done this befor…"
3"Then the gate in the archway ground open, and from beyond it came light and noise — lantern-glow on tile, a murmur of a crowd, a hundred conversations in a spac…"
4"Herrera kissed his thumb, which had touched a small silver medallion at his throat — Saint Christopher, patron of travelers, and she thought: he's afraid."
5"She thought of a dead girl's arm and the neat, careful stitches in it, done by a man who'd said please."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences8
tagDensity0.375
leniency0.75
rawRatio0
effectiveRatio0
88.9870%