Run: 2026-06-24-01KVX3BFZY0C5P6ZDK2GA0GBY9

Run Details

Duration:
48.0s
Cost:
$0.008468
Provider:
Z.AI

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <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> Continue the story using the following instructions: <instructions> 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. </instructions>

Model response

AI
Rain hammered the pavement in silver sheets, turning Soho's neon into bleeding watercolors. Detective Harlow Quinn cut through the downpour with the efficiency of a blade, her coat whipping behind her as she vaulted a low wall into the alley behind The Raven's Nest. The green glow of the bar's sign threw a sick wash across the wet brick, and she caught the shape she'd been tracking for three nights slinking through the back exit. Tomás Herrera. Former paramedic. Disgraced. Connected to at least four people of interest in her ongoing investigation. He broke into a sprint the moment her foot splashed in the puddle at the alley's mouth. Quinn followed without hesitation, her worn leather watch catching a flash of amber streetlight as her arms pumped. Herrera had a head start, maybe twenty meters, but he ran like a man who expected to be caught. Glancing over his shoulder. Stumbling on wet cobblestones. His Saint Christopher medallion swung wild from his neck, catching light with each erratic stride. "Stop! Police!" He didn't stop. He cut left down Greek Street, dodging a cluster of umbrellas outside a restaurant, and Quinn's boots skidded on slick asphalt as she made the same turn. A woman shrieked. Someone's takeaway hit the ground. The smell of salt and vinegar mixed with the metallic tang of rain. Herrera was fast. Faster than she'd expected from a man who spent his nights patching up criminals in back rooms. His dark curls plastered to his forehead, and the scar on his left forearm stood pale against his olive skin where his sleeve had ridden up. He shoved through a crowd outside a club, using bodies as obstacles, and Quinn had to shoulder through the same wall of drunk teenagers who stumbled and cursed in a confusion of cheap cologne and spilled lager. She broke clear and spotted him ducking right. Old Compton Street. Then left, down a service road she didn't recognize. The map of London she carried in her head was failing her. This was Camden-adjacent territory now, the chase having dragged them north through streets that narrowed and darkened with each block, and the familiarity of Soho had given way to something older. Grimmer. Herrera pulled up at a chain-link fence surrounding a construction site and scrambled over it with desperate, graceless movements. Quinn hit the fence two seconds behind him, the cold metal biting into her palms as she hauled herself up and over. Her boots splashed into standing water on the other side, and she tasted copper where she'd bitten her tongue on the landing. Through the site. Past a row of portable toilets reeking of chemicals. Around a skip piled with broken concrete and rusted rebar. Herrera's silhouette disappeared down a set of concrete stairs she hadn't seen until she was nearly on top of them. An old sign, half-corroded, hung above the entrance. The letters were too weathered to read, but the architecture screamed Tube station. Abandoned. Sealed off from the public network decades ago. Quinn stopped at the top of the stairs. Water cascaded down the steps like a narrow waterfall, pooling at the bottom where a security gate hung open on one hinge. Beyond that gate, faint light pulsed. Not electric. Not the steady glow of fluorescent tubes. Something warmer. Shifting. Like firelight filtered through colored glass. She pulled her phone from her coat. No signal. Of course. The screen reflected her own face back at her, rain streaming down her sharp jaw, her closely cropped salt-and-pepper hair plastered flat against her skull. She looked like someone who hadn't slept in three days, which was accurate. Her hand went to the service weapon on her hip. Standard issue. Nine millimeters and fourteen rounds. She thumbed the retention strap loose but didn't draw. Not yet. Eighteen years on the force had taught her that a gun drawn too early was a gun that escalated situations beyond recovery. DS Morris had taught her that. Before the case that took him. Before whatever happened in that warehouse left nothing behind but his badge and a stain on the concrete floor that no amount of bleach could lift. The memory tightened something behind her sternum. She pushed it down. Herrera had gone into that light. He knew what was down there. She didn't. That was the equation. Simple math that argued for calling for backup, waiting, securing the perimeter like the manual prescribed. But Quinn had been playing by the manual for three years and it had gotten her nothing. No answers. No closure. Just a cold case file that sat on her desk like an accusation and a growing list of anomalies that no sane person would believe. Witnesses who described impossible things. Crime scenes that defied physics. Suspects who vanished from locked rooms. She took the first step down. The sound changed immediately. The rain above became a distant static, replaced by a low hum that vibrated through the concrete beneath her boots. The air warmed. Thickened. It carried scents she couldn't name, botanical and mineral at once, like a greenhouse built over a quarry. The colored light intensified as she descended, resolving into individual sources. Lanterns. Dozens of them, strung along the curved walls of the abandoned Tube platform, each one burning a different hue. Blue. Amber. A deep arterial red that made her think of operating rooms. The platform stretched ahead, and the tracks had been converted into a makeshift thoroughfare. Stalls lined both sides, built from scavenged materials, old timber and corrugated metal and what looked like repurposed church pews. Tarpaulins stretched overhead formed a patchwork ceiling that dripped with condensation. And the stalls were stocked. Quinn slowed her pace, pressing her shoulder against the curved wall. Her training screamed at her to take cover, assess threats, identify exits. She could see two, maybe three, tunnel openings at the far end of the platform. But her attention snagged on the merchandise visible even from this distance. Glass bottles filled with liquids that moved on their own. Bundles of dried herbs that sparked faintly when the air currents touched them. A vendor holding up what appeared to be a human hand, except it had six fingers and was still flexing. People moved between the stalls. Dozens of them. They wore ordinary clothes, jeans and hoodies and rain jackets, but there was something off about the way they carried themselves. A woman in a yellow raincoat paused at a stall and her eyes, when she turned, caught the lantern light and reflected it back like a cat's. A tall man in a denim jacket haggled over something in a jewelry box, and when he gestured, his fingers left brief trails of vapor in the air. Herrera was nowhere in sight. He'd melted into the crowd or ducked into one of the side tunnels, and Quinn felt the investigation slipping through her fingers like water. She had a choice to make. Retreat up those stairs, return with a team that would probably find an empty station and a locked gate, or push forward into a market full of things she couldn't explain and people who would notice a stranger. A woman at the nearest stall turned her head and looked directly at Quinn. The vendor, old and bent over a collection of bone-white tokens spread across velvet, tracked her with eyes that were entirely black. No whites. No iris. Just pools of ink that somehow conveyed recognition. "You lost, dear?" Quinn's hand settled on her weapon. "Just passing through." The vendor's mouth stretched into something that wasn't quite a smile. "Nobody passes through. Not without a token." A gnarled finger tapped the velvet. "You want to shop, you pay the toll. You want to leave, well." The not-smile widened. "Leaving is more expensive." Quinn weighed her options. Behind her, the stairs. Ahead, the market and somewhere within it, Herrera. Around her, vendors and shoppers who were watching her now with the focused attention of predators who had spotted something that didn't belong. She stepped forward into the light.
created_at"2026-06-24T15:18:07.114Z" 6/24/2026, 3:18:07 PM
model"z-ai/glm-5.2-20260616"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3013
moderation_latency(null)
generation_time47865
tokens_prompt1140
tokens_completion2277
native_tokens_prompt997
native_tokens_completion1856
native_tokens_completion_images(null)
native_tokens_reasoning174
native_tokens_cached960
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)
usage0.0084678
router(null)
provider_responses
0
endpoint_id"442ea97f-ad5e-40d5-b9a6-66e9e0417dce"
id"20260624231807a9473ef1a6c54f71"
is_byokfalse
latency3013
model_permaslug"z-ai/glm-5.2-20260616"
provider_name"Z.AI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.16.0; linux; x64))"
http_referer(null)
request_id"req-1782314287-VPovHhviBavO9JVzGIjd"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1782314287-84UvzxTA0M30EECF5DOT"
upstream_id"20260624231807a9473ef1a6c54f71"
total_cost0.0084678
cache_discount0.0010944
upstream_inference_cost0
provider_name"Z.AI"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences6
tagDensity0.167
leniency0.333
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1347
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)
70.30% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1347
totalAiIsms8
found
0
word"pulsed"
count1
1
word"electric"
count1
2
word"streaming"
count1
3
word"standard"
count1
4
word"vibrated"
count1
5
word"resolving"
count1
6
word"velvet"
count2
highlights
0"pulsed"
1"electric"
2"streaming"
3"standard"
4"vibrated"
5"resolving"
6"velvet"
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
narrationSentences121
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences121
filterMatches
0"watch"
1"think"
hedgeMatches
0"appeared to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences125
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen38
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1347
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions36
wordCount1315
uniqueNames15
maxNameDensity0.91
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Soho2
Harlow1
Quinn12
Raven1
Nest1
Herrera8
Saint1
Christopher1
Greek1
Street2
Compton1
London1
Camden-adjacent1
Tube2
Morris1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Herrera"
4"Saint"
5"Christopher"
6"Morris"
places
0"Soho"
1"Greek"
2"Street"
3"Compton"
4"London"
globalScore1
windowScore1
53.85% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences78
glossingSentenceCount3
matches
0"looked like someone who hadn't slept in t"
1"looked like repurposed church pews"
2"quite a smile"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1347
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences125
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs29
mean46.45
std30.51
cv0.657
sampleLengths
075
117
277
32
451
583
664
763
872
954
1049
1188
1211
1334
1462
156
1690
1750
1893
1984
2073
2148
223
236
243
2511
2633
2739
286
99.46% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences121
matches
0"been converted"
1"were stocked"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs225
matches
0"was failing"
1"was still flexing"
2"were watching"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences125
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1322
adjectiveStacks0
stackExamples(empty)
adverbCount33
adverbRatio0.024962178517397883
lyAdverbCount8
lyAdverbRatio0.006051437216338881
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences125
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences125
mean10.78
std8.79
cv0.816
sampleLengths
013
131
231
32
42
51
612
717
818
919
104
114
1215
132
143
1527
163
175
1813
193
2017
2126
2237
238
243
259
2612
2731
281
2919
3022
3122
323
339
3410
3520
368
3713
381
398
408
4122
426
432
447
452
461
476
487
492
84.27% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.544
totalSentences125
uniqueOpeners68
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences100
matches
0"Then left, down a service"
1"Just a cold case file"
2"Just pools of ink that"
ratio0.03
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount22
totalSentences100
matches
0"He broke into a sprint"
1"His Saint Christopher medallion swung"
2"He didn't stop."
3"He cut left down Greek"
4"His dark curls plastered to"
5"He shoved through a crowd"
6"She broke clear and spotted"
7"Her boots splashed into standing"
8"She pulled her phone from"
9"She looked like someone who"
10"Her hand went to the"
11"She thumbed the retention strap"
12"She pushed it down."
13"He knew what was down"
14"She took the first step"
15"It carried scents she couldn't"
16"Her training screamed at her"
17"She could see two, maybe"
18"They wore ordinary clothes, jeans"
19"He'd melted into the crowd"
ratio0.22
100.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount70
totalSentences100
matches
0"Detective Harlow Quinn cut through"
1"The green glow of the"
2"He broke into a sprint"
3"Quinn followed without hesitation, her"
4"Herrera had a head start,"
5"His Saint Christopher medallion swung"
6"He didn't stop."
7"He cut left down Greek"
8"A woman shrieked."
9"Someone's takeaway hit the ground."
10"The smell of salt and"
11"Herrera was fast."
12"His dark curls plastered to"
13"He shoved through a crowd"
14"She broke clear and spotted"
15"The map of London she"
16"This was Camden-adjacent territory now,"
17"Herrera pulled up at a"
18"Quinn hit the fence two"
19"Her boots splashed into standing"
ratio0.7
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences100
matches
0"Before the case that took"
1"Before whatever happened in that"
ratio0.02
23.81% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences54
technicalSentenceCount9
matches
0"He shoved through a crowd outside a club, using bodies as obstacles, and Quinn had to shoulder through the same wall of drunk teenagers who stumbled and cursed …"
1"This was Camden-adjacent territory now, the chase having dragged them north through streets that narrowed and darkened with each block, and the familiarity of S…"
2"Eighteen years on the force had taught her that a gun drawn too early was a gun that escalated situations beyond recovery."
3"Simple math that argued for calling for backup, waiting, securing the perimeter like the manual prescribed."
4"Just a cold case file that sat on her desk like an accusation and a growing list of anomalies that no sane person would believe."
5"The rain above became a distant static, replaced by a low hum that vibrated through the concrete beneath her boots."
6"Tarpaulins stretched overhead formed a patchwork ceiling that dripped with condensation."
7"The vendor, old and bent over a collection of bone-white tokens spread across velvet, tracked her with eyes that were entirely black."
8"Around her, vendors and shoppers who were watching her now with the focused attention of predators who had spotted something that didn't belong."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
94.3897%