Run: 2026-09-02-01M1H5HEBYA9AF7PHSCPSTC181

Run Details

Duration:
3m 35s
Cost:
$0.000450
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 like a verdict. Harlow Quinn stood at the mouth of Frith Street with her collar up and her hands jammed in her coat pockets, watching a man in a grey hoodie thread through the late-night crowd with the particular urgency of someone who knew he was being watched. Five minutes of surveillance had told her plenty. Six months on the Herrera file had told her more. Tomás Herrera. Former paramedic. Struck off the register for reasons the paperwork made deliberately opaque. Now he stitched wounds the Metropolitan Police were never meant to know existed, and every one of those wounds belonged to somebody Quinn wanted to talk to. He ducked into a doorway, checked over his shoulder, and made the mistake of looking directly at her. Even at forty yards, through rain and sodium light, she saw the moment recognition landed. His shoulders squared. His pace broke from casual to desperate. Quinn was already moving. He bolted up Dean Street, hood thrown back now, dark curls plastered to his skull, and she chased him past shuttered greengrocers and a kebab shop exhaling steam into the wet dark. He was younger than her by twelve years and he ran like it, but she ran angry, and anger closed distance that fitness couldn't. Eighteen years of chasing men through London had taught her the city's grammar — which alleys dead-ended, which corners gave sight lines. She didn't take the route he took. She took the route it fed into, cutting up Bateman Street, lungs burning, boots splashing through gutter water that soaked her trousers to the knee. He came off Old Compton Street at a dead sprint and nearly collided with her. She had the presence to grab. He had the presence to twist. Her fingers closed on the hood and got nothing but wet fabric and the smell of him — antiseptic and cigarette smoke — before he wrenched free and shoved her into the wall of a closed bookshop. Her shoulder took the impact. She felt the brick scrape her coat but didn't feel pain yet; pain was a bill that always came later, and she'd learned not to pay early. "GDPD — Herrera — stop!" she shouted, knowing he wouldn't. Wishing, briefly and uselessly, that she had backup. She'd requested it. The request had been denied by a superintendent whose name kept surfacing in her case files like a body in a canal. He cut south, crossed Shaftesbury Avenue against the traffic to a chorus of horns, and disappeared down a service ramp she'd never noticed before — narrow, unlit, sloping toward the old deep-level shelter beneath Camden Way. That was wrong. That ramp should have been welded shut. She'd read the structural survey herself two months ago. Quinn stood at the top of it, rain streaming off her jaw, and listened. Water dripped somewhere below. Metal creaked, faintly rhythmic, like a door being tested. And under it all, almost subsonic, a hum — not machinery. More like a crowd heard through a wall. Or through the earth. Herrera was gone. She could put out a description, wait for the morning, and watch his flat on Drummond Street until he crept home to his tap on the phone and his scaffolding charge on the electricity. The safe choice. The sensible one. Eighteen years of sensible had gotten her a commendation, a divorce, and a partner's funeral with no body in the coffin — just a flag and an explanation that read like it had been written by someone who'd never met DS Morris. Her thumb found the worn leather strap of her watch and pressed against it, the old ritual, the thing she did when the decision mattered. "Damn it," she said, and went down the ramp. The dark swallowed her a step at a time. Her torch came up and cut a white cone through drizzle that followed her underground, impossibly, beading on the brick arches. The passage was Victorian, soot-black, curved like the inside of a throat. Her breath echoed wrong — too loud coming back, like the tunnel was repeating her to someone. The humming grew. She rounded a bend and stopped. The abandoned station opened before her like a cathedral that had lost its religion. Tiled walls, grime-gilded, hung with lanterns of colored glass that threw amber and violet across the platforms. And the platforms were full. Stalls had been built from salvaged scaffold and auction-house velvet, and behind them stood people who were, mostly, not people. A woman with eyes like coins turned to look at Quinn and smiled with too many teeth. Something seven feet tall in a waxed coat sold jars of viscous gold to a man in a pinstripe suit. Music came from nowhere. Coins changed hands in whispers. Every nerve Quinn owned told her to leave. She did not leave. There — fifty yards along the platform, hood down, breath ragged, arguing with a stallholder in rapid Spanish. Herrera had a small bone-coloured token out, something carved, something that had presumably opened whatever door he'd come through. The stallholder shook her head. Herrera's voice climbed. Quinn moved along the wall, using a pillar, then another, closing the distance the way she'd learned in three tours' worth of surveillance work before the Met ever recruited her. Close enough now to hear the stallholder say, in perfect English, "No token, no re-entry. You want to leave the way you came, you buy the way out. Those are the terms." "I don't have anything else," Herrera said, and there was something in his voice that dropped the chase entirely out of Quinn's mind. Not fear of her. Fear of being trapped. Fear of what waited outside the Market for a man who couldn't afford his exit. She stepped out of the shadow of the pillar, and the whole platform seemed to notice at once — conversations dying in a slow wave, heads turning, coin-eyes catching the lantern light. Herrera saw her and went very still. "You followed me," he said. Not a question. His hand had drifted to the strap of the bag across his chest — the medical bag, she'd have bet her pension on it. "You're not under arrest," she said, loud enough to carry, steady enough to mean it. "I'm not stupid enough to arrest anyone down here. I want to talk." The stallholder looked between them with professional amusement. "Every conversation in the Market has a price." "Then I'll pay it." Quinn kept her eyes on Herrera. "One question, free of the surveillance state. What happened three years ago, on the Morris case?" Something crossed Herrera's face — grief, or its rehearsed cousin. His hand left the bag. The Saint Christopher medallion had come loose from his collar, swinging silver in the lantern light, and he caught it in his fist like a man praying. "You don't want to know," he said quietly. "But you're going to find out anyway, aren't you?" "I'm going to find out," Quinn agreed, "either way." He exhaled. Somewhere above them, faint through the earth, the full moon crawled over Camden, and the Market began, patiently, to close.
created_at"2026-09-02T13:39:36.965Z" 9/2/2026, 1:39:36 PM
model"z-ai/glm-5.3-flash-20260826"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1924
moderation_latency(null)
generation_time215269
tokens_prompt888
tokens_completion1798
native_tokens_prompt819
native_tokens_completion1556
native_tokens_completion_images(null)
native_tokens_reasoning52
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)
usage0.000450425
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788356376-SAVBctZKAQ3c4NvBe6ac"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788356376-oylUIbXoN6w2VM4WQk4j"
upstream_id"202609022139373d81f72e70e344f8"
provider_responses
0
endpoint_id"8e9fe48b-2f91-41c3-a8a7-e4a93a8c4ff0"
id"202609022139373d81f72e70e344f8"
is_byokfalse
latency1924
model_permaslug"z-ai/glm-5.3-flash-20260826"
provider_name"Z.AI"
status200
total_cost0.000450425
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
totalTags10
adverbTagCount1
adverbTags
0"he said quietly [quietly]"
dialogueSentences13
tagDensity0.769
leniency1
rawRatio0.1
effectiveRatio0.1
91.56% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1185
totalAiIsmAdverbs2
found
0
adverb"deliberately"
count1
1
adverb"very"
count1
highlights
0"deliberately"
1"very"
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)
78.90% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1185
totalAiIsms5
found
0
word"streaming"
count1
1
word"rhythmic"
count1
2
word"echoed"
count1
3
word"velvet"
count1
4
word"perfect"
count1
highlights
0"streaming"
1"rhythmic"
2"echoed"
3"velvet"
4"perfect"
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
narrationSentences86
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences86
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences90
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen46
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1198
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions48
wordCount1085
uniqueNames25
maxNameDensity0.92
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Herrera"
discoveredNames
Quinn10
Frith1
Street5
Herrera9
Metropolitan1
Police1
Dean1
London1
Bateman1
Old1
Compton1
Wishing1
Shaftesbury1
Avenue1
Camden2
Way1
Drummond1
Morris1
Victorian1
Spanish1
Close1
English1
Market2
Saint1
Christopher1
persons
0"Quinn"
1"Herrera"
2"Morris"
3"Saint"
4"Christopher"
places
0"Frith"
1"Street"
2"Dean"
3"London"
4"Bateman"
5"Old"
6"Compton"
7"Shaftesbury"
8"Avenue"
9"Camden"
10"Way"
11"Drummond"
12"Close"
globalScore1
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences58
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1198
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences90
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs31
mean38.65
std27.53
cv0.712
sampleLengths
070
142
218
325
44
5110
615
781
843
955
1014
1136
1285
1325
149
1559
169
17102
1812
1945
2062
2146
2232
2339
2428
2516
2626
2742
2817
299
3022
80.78% Passive voice overuse
Target: ≤2% passive sentences
passiveCount6
totalSentences86
matches
0"been denied"
1"been welded"
2"being tested"
3"was gone"
4"been written"
5"been built"
96.37% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs193
matches
0"was being"
1"was already moving"
2"was repeating"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount11
semicolonCount1
flaggedSentences11
totalSentences90
ratio0.122
matches
0"Eighteen years of chasing men through London had taught her the city's grammar — which alleys dead-ended, which corners gave sight lines."
1"Her fingers closed on the hood and got nothing but wet fabric and the smell of him — antiseptic and cigarette smoke — before he wrenched free and shoved her into the wall of a closed bookshop."
2"She felt the brick scrape her coat but didn't feel pain yet; pain was a bill that always came later, and she'd learned not to pay early."
3"He cut south, crossed Shaftesbury Avenue against the traffic to a chorus of horns, and disappeared down a service ramp she'd never noticed before — narrow, unlit, sloping toward the old deep-level shelter beneath Camden Way."
4"And under it all, almost subsonic, a hum — not machinery."
5"Eighteen years of sensible had gotten her a commendation, a divorce, and a partner's funeral with no body in the coffin — just a flag and an explanation that read like it had been written by someone who'd never met DS Morris."
6"Her breath echoed wrong — too loud coming back, like the tunnel was repeating her to someone."
7"There — fifty yards along the platform, hood down, breath ragged, arguing with a stallholder in rapid Spanish."
8"She stepped out of the shadow of the pillar, and the whole platform seemed to notice at once — conversations dying in a slow wave, heads turning, coin-eyes catching the lantern light."
9"His hand had drifted to the strap of the bag across his chest — the medical bag, she'd have bet her pension on it."
10"Something crossed Herrera's face — grief, or its rehearsed cousin."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount941
adjectiveStacks1
stackExamples
0"small bone-coloured token"
adverbCount26
adverbRatio0.02763018065887354
lyAdverbCount10
lyAdverbRatio0.010626992561105207
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences90
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences90
mean13.31
std10.21
cv0.767
sampleLengths
07
145
28
310
42
52
611
727
818
915
103
117
124
1332
1424
1522
167
1725
1815
196
206
2137
225
2327
2410
258
263
2722
2836
293
307
319
3214
334
349
3511
368
374
383
3934
403
413
4242
4325
449
459
4621
4712
4817
493
70.00% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.4666666666666667
totalSentences90
uniqueOpeners42
82.30% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences81
matches
0"More like a crowd heard"
1"Somewhere above them, faint through"
ratio0.025
76.79% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount29
totalSentences81
matches
0"He ducked into a doorway,"
1"His shoulders squared."
2"His pace broke from casual"
3"He bolted up Dean Street,"
4"He was younger than her"
5"She didn't take the route"
6"She took the route it"
7"He came off Old Compton"
8"She had the presence to"
9"He had the presence to"
10"Her fingers closed on the"
11"Her shoulder took the impact."
12"She felt the brick scrape"
13"she shouted, knowing he wouldn't"
14"She'd requested it."
15"He cut south, crossed Shaftesbury"
16"She'd read the structural survey"
17"She could put out a"
18"Her thumb found the worn"
19"she said, and went down"
ratio0.358
64.94% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount64
totalSentences81
matches
0"The rain came down like"
1"Harlow Quinn stood at the"
2"He ducked into a doorway,"
3"His shoulders squared."
4"His pace broke from casual"
5"Quinn was already moving."
6"He bolted up Dean Street,"
7"He was younger than her"
8"She didn't take the route"
9"She took the route it"
10"He came off Old Compton"
11"She had the presence to"
12"He had the presence to"
13"Her fingers closed on the"
14"Her shoulder took the impact."
15"She felt the brick scrape"
16"she shouted, knowing he wouldn't"
17"She'd requested it."
18"The request had been denied"
19"He cut south, crossed Shaftesbury"
ratio0.79
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences81
matches
0"Now he stitched wounds the"
1"Even at forty yards, through"
ratio0.025
20.41% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences35
technicalSentenceCount6
matches
0"Harlow Quinn stood at the mouth of Frith Street with her collar up and her hands jammed in her coat pockets, watching a man in a grey hoodie thread through the …"
1"She took the route it fed into, cutting up Bateman Street, lungs burning, boots splashing through gutter water that soaked her trousers to the knee."
2"Eighteen years of sensible had gotten her a commendation, a divorce, and a partner's funeral with no body in the coffin — just a flag and an explanation that re…"
3"Her torch came up and cut a white cone through drizzle that followed her underground, impossibly, beading on the brick arches."
4"Tiled walls, grime-gilded, hung with lanterns of colored glass that threw amber and violet across the platforms."
5"Herrera had a small bone-coloured token out, something carved, something that had presumably opened whatever door he'd come through."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags10
uselessAdditionCount0
matches(empty)
25.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags8
fancyCount2
fancyTags
0"she shouted (shout)"
1"Quinn agreed (agree)"
dialogueSentences13
tagDensity0.615
leniency1
rawRatio0.25
effectiveRatio0.25
84.9243%