Run: 2026-03-15-01KKS2V0MT765FBBZ47MZ3V0PQ

Run Details

Duration:
44.1s
Cost:
$0.005743
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 sheets, turning Soho's narrow alleys into rivers of filth and reflected neon. Harlow Quinn sprinted past the green glow of the Raven's Nest sign, her leather watch slapping against her wrist with each stride. Thirty metres ahead, the figure in the dark hoodie vaulted a recycling bin like it was nothing, feet barely touching the wet lid before launching into the next gap between buildings. She'd been sitting in her car watching the bar for two hours before the suspect emerged. Now the boredom had evaporated into something sharper, something that made her pulse pound against her throat. The figure cut left down a service alley. Quinn followed, her boots skidding on wet cobblestones. The smell hit her first—rotting vegetables and stagnant water from overflowing bins. She rounded a corner and nearly collided with a stack of wooden pallets blocking half the passage. She shoved through the gap, splinters catching her jacket sleeve. On the other side, the alley opened into a small courtyard behind a Chinese restaurant. Steam rose from metal vents, mixing with the rain, and for a moment she lost sight of them entirely. A clang of metal from the right. She pivoted. The hooded figure was dropping down from a fire escape, landing in a crouch on the slick concrete. They looked up, and even in the dim light she caught something wrong with the proportions of their face—too narrow, eyes set too far apart. Then they were running again, straight toward a doorway she'd missed, half-hidden behind a rusted skip. Quinn gave chase. The doorway led to a steep set of concrete steps, descending fast. No handrail. The walls pressed close, and the smell changed—wet earth and something chemical underneath, sharp enough to sting her nostrils. Her footsteps echoed, and so did theirs, the two rhythms overlapping in the narrow shaft. The stairs levelled out into a short corridor lined with old tiles, the kind you'd find in a public toilet from the 1950s. Faded writing on the wall. She didn't stop to read it. The corridor terminated at another door, this one metal, standing open just wide enough for a person to slip through. She heard voices on the other side. More than one. The suspect had stopped running. Quinn pressed her back to the wall beside the door frame, pulled her warrant card from her jacket pocket, and listened. "You shouldn't have brought a tail down here, Marcus." A woman's voice, low and irritated. Not British—something Eastern European, maybe. "She wasn't supposed to see me leave. I was careful." The suspect. Marcus, apparently. His voice had an edge to it, breathless from the run. "Clearly not careful enough. She's Metropolitan, yes? I can smell the cheap coffee on her from here." Quinn's jaw tightened. She gripped her warrant card harder, the laminated edge digging into her palm. "What do you want me to do about it?" "Nothing. Go. Make your delivery. I'll handle this." Footsteps. Quick ones, moving away through what sounded like a larger space. Quinn counted them—four sets retreating, one set approaching the door. She had seconds to decide. The smart play was to back up the stairs, call for backup, wait for uniformed officers to secure the entrance. That's what any detective with eighteen years of experience and a decorated service record would do. That's what she would have done three years ago, before Morris. But Morris had disappeared down a rabbit hole just like this one, and nobody had followed him, and now he was dead in a way the coroner couldn't explain, and the case file had vanished from the system, and everyone at the station acted like she was crazy for still asking questions. The metal door swung inward. Quinn grabbed the wrist attached to the hand on the door and pulled, using the person's momentum against them. The woman stumbled forward, and Quinn had her against the opposite wall, forearm across her collarbone, before either of them could draw a proper breath. The woman didn't struggle. She looked at Quinn with pale grey eyes that caught the light from somewhere deeper in the space behind her, and she smiled with too many teeth. "Detective." Not a question. "I wondered when one of you would finally get curious enough to follow." "Where am I?" "You know where you are. You just don't want to admit it." Quinn glanced past the woman's shoulder. The tunnel opened into something vast—an old Underground platform, by the look of the curved ceiling and the remnants of signage. But it had been transformed. Stalls carved from salvaged materials lined the platform, draped with fabrics and strung with lights that weren't electric. They cast a cold, blue-white glow that made everything look underwater. Figures moved between the stalls, and none of them turned to look at her. Some of them weren't shaped right. "Camden. Abandoned station. They closed it in the seventies." The woman's voice was almost conversational, as if Quinn weren't still pinning her to the wall. "But you didn't come here for a history lesson." "Marcus. Where did he go?" "He made a delivery. He'll be back in twenty minutes. You're welcome to wait, if you can stomach it." Quinn released her hold and stepped back, keeping her weight balanced on the balls of her feet. The woman smoothed down her jacket—a fitted leather thing that looked older than Quinn—and studied her with those unsettling eyes. "You need a token to get in here. How did Marcus get through without one?" The woman's smile widened. "Marcus has privileges. You don't. Technically, you shouldn't be able to see any of this. The fact that you can is... interesting." "Interesting how?" "It means someone wants you here, Detective. Or something does." Quinn's hand moved to the torch on her belt. The woman watched the movement but didn't flinch. "I'm going to walk back up those stairs, call my team, and come back with proper authorisation. You can cooperate now and make this easier on everyone, or—" "Or what? You'll arrest me?" The woman laughed, a dry sound like stones scraping together. "For what crime, exactly? Trespassing on property that doesn't legally exist? Operating a market in a station that was never built?" The words hung in the cold, damp air. Quinn's leather watch ticked against her wrist, each second marking the distance between the world she understood and whatever this was. "There's a man dead because of things that come from places like this. My partner." The woman's expression shifted. The amusement drained away, replaced by something that might have been recognition. "DS Morris. Yes. We heard about that." She paused. "It wasn't supposed to happen to him. He wasn't the target." The platform lights flickered. Somewhere in the market, someone laughed, high and sharp. Quinn stepped through the door.
created_at"2026-03-15T15:46:34.789Z" 3/15/2026, 3:46:34 PM
model"z-ai/glm-5-turbo-20260315"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2067
moderation_latency(null)
generation_time43989
tokens_prompt1140
tokens_completion2104
native_tokens_prompt990
native_tokens_completion1728
native_tokens_completion_images(null)
native_tokens_reasoning321
native_tokens_cached960
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"
usage0.00574272
router(null)
provider_responses
0
endpoint_id"9ce3b132-3a17-4fea-8092-0e8e519ed32b"
id"2026031523463510050dbcd029459b"
is_byokfalse
latency2067
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-1773589594-X80R6L7B4nzWp6LCz1lS"
upstream_id"2026031523463510050dbcd029459b"
total_cost0.00574272
cache_discount0.0009216
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
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences23
tagDensity0.087
leniency0.174
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1150
totalAiIsmAdverbs0
found(empty)
highlights(empty)
80.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Marcus"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
65.22% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1150
totalAiIsms8
found
0
word"pulse"
count1
1
word"footsteps"
count2
2
word"echoed"
count1
3
word"electric"
count1
4
word"stomach"
count1
5
word"weight"
count1
6
word"flickered"
count1
highlights
0"pulse"
1"footsteps"
2"echoed"
3"electric"
4"stomach"
5"weight"
6"flickered"
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
narrationSentences73
matches(empty)
84.15% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount0
narrationSentences73
filterMatches
0"watch"
1"look"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences92
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen52
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1142
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
50.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions26
wordCount882
uniqueNames10
maxNameDensity1.81
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Quinn"
discoveredNames
Soho1
Quinn16
Raven1
Nest1
Chinese1
British1
Eastern1
European1
Morris2
Underground1
persons
0"Quinn"
1"Raven"
2"Morris"
places
0"Soho"
globalScore0.593
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences52
glossingSentenceCount1
matches
0"sounded like a larger space"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1142
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences92
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs47
mean24.3
std18.34
cv0.755
sampleLengths
070
133
245
344
49
559
651
754
815
921
109
1111
1210
1315
1417
1516
169
178
1822
195
2047
2152
225
2344
2431
2517
263
2712
2875
296
3034
315
3219
3337
3415
3526
362
3710
3817
3928
4036
4129
4215
4316
4420
4513
465
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences73
matches
0"been transformed"
69.28% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs153
matches
0"was dropping"
1"were running"
2"weren't still pinning"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount8
semicolonCount0
flaggedSentences7
totalSentences92
ratio0.076
matches
0"The smell hit her first—rotting vegetables and stagnant water from overflowing bins."
1"They looked up, and even in the dim light she caught something wrong with the proportions of their face—too narrow, eyes set too far apart."
2"The walls pressed close, and the smell changed—wet earth and something chemical underneath, sharp enough to sting her nostrils."
3"Not British—something Eastern European, maybe."
4"Quinn counted them—four sets retreating, one set approaching the door."
5"The tunnel opened into something vast—an old Underground platform, by the look of the curved ceiling and the remnants of signage."
6"The woman smoothed down her jacket—a fitted leather thing that looked older than Quinn—and studied her with those unsettling eyes."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount892
adjectiveStacks1
stackExamples
0"cold, blue-white glow"
adverbCount30
adverbRatio0.033632286995515695
lyAdverbCount4
lyAdverbRatio0.004484304932735426
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences92
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences92
mean12.41
std8.25
cv0.665
sampleLengths
017
122
231
316
417
58
68
712
817
910
1015
1119
127
132
1418
1525
1616
173
1812
192
2019
2115
2223
235
246
2520
267
273
285
2921
309
316
325
3310
342
352
3611
3717
383
3913
409
418
421
4311
4410
455
4620
4716
4811
4952
71.74% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.45652173913043476
totalSentences92
uniqueOpeners42
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences67
matches
0"Then they were running again,"
1"More than one."
2"Somewhere in the market, someone"
ratio0.045
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount12
totalSentences67
matches
0"She'd been sitting in her"
1"She rounded a corner and"
2"She shoved through the gap,"
3"They looked up, and even"
4"Her footsteps echoed, and so"
5"She didn't stop to read"
6"She heard voices on the"
7"His voice had an edge"
8"She gripped her warrant card"
9"She had seconds to decide."
10"She looked at Quinn with"
11"They cast a cold, blue-white"
ratio0.179
57.01% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount54
totalSentences67
matches
0"Harlow Quinn sprinted past the"
1"She'd been sitting in her"
2"The figure cut left down"
3"Quinn followed, her boots skidding"
4"The smell hit her first—rotting"
5"She rounded a corner and"
6"She shoved through the gap,"
7"Steam rose from metal vents,"
8"A clang of metal from"
9"The hooded figure was dropping"
10"They looked up, and even"
11"Quinn gave chase."
12"The doorway led to a"
13"The walls pressed close, and"
14"Her footsteps echoed, and so"
15"The stairs levelled out into"
16"She didn't stop to read"
17"The corridor terminated at another"
18"She heard voices on the"
19"The suspect had stopped running."
ratio0.806
74.63% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences67
matches
0"Now the boredom had evaporated"
ratio0.015
48.87% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences38
technicalSentenceCount5
matches
0"She'd been sitting in her car watching the bar for two hours before the suspect emerged."
1"Now the boredom had evaporated into something sharper, something that made her pulse pound against her throat."
2"She looked at Quinn with pale grey eyes that caught the light from somewhere deeper in the space behind her, and she smiled with too many teeth."
3"They cast a cold, blue-white glow that made everything look underwater."
4"The woman smoothed down her jacket—a fitted leather thing that looked older than Quinn—and studied her with those unsettling eyes."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"The woman laughed (laugh)"
dialogueSentences23
tagDensity0.043
leniency0.087
rawRatio1
effectiveRatio0.087
86.4967%