Run: 2026-09-02-01M1GT2AM45Q4KFTWCKP0PGN5C

Run Details

Duration:
8m 44s
Cost:
$0.057873
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
The green neon above the Raven's Nest had burned through two hours of rain by the time Tomás Herrera stepped out. Quinn watched him from the recessed doorway of a shuttered chemist across the street, a paper cup of coffee gone cold in her hand. He paused under the sign with his hood down, letting the green light find his face, and turned a small canvas bag over in his grip like he was checking it still had a bottom. When the bar door swung shut behind him she caught a slice of the interior through the gap — old maps on the walls, photographs in black and white — and then the night closed over it again. He turned his collar up and walked north. She gave him half a block and one parked van. He took the back ways out of Soho, and he never once looked like a man in a hurry, which told her everything. Hurried men had somewhere to be. Herrera was working. He paused at shop glass and bus shelters, watched reflections without moving his head, doubled back twice around the same shuttered pub. In a dark window her own reflection kept pace with her, the rain having pasted her salt-and-pepper crop flat to her skull, jaw set, brown eyes that gave nothing back to the glass. She checked the worn leather band of her watch. Old habit. It told her he was running fourteen minutes ahead of the schedule she'd built for him. Soho fell away behind them street by street. By the time the pavements turned to Camden cobbles she had the measure of his route: north, always north, no buses, no cabs, nothing with a camera in it. Camden swallowed them both. The market stalls stood chained under tarps, the lock gates dripped, and the canal lay black and pockmarked with rain. At the rail bridge he stopped. A night bus came down the high street with its windows lit, and when the headlights swept the pavement they found her standing in the open, twenty metres off, warrant card rising in her hand. He ran. "Tomás Herrera!" He threw a look over his shoulder, curly dark hair whipping, and put a low wall between them. He dropped onto the towpath with his sleeve rucked to the elbow, an old scar showing pale against the olive skin before the fabric fell back over it. "Go home, Detective!" The words reached her in pieces, torn apart by the wind. "You don't want this!" "Stop running and it stays civil!" "You don't know what tonight is!" "I know you run this route every full moon." She took the wall the way he had, landed rolling, came up moving. "Three months of deliveries, Herrera. I counted!" He spat something in Spanish that needed no translation and lengthened his stride. The Saint Christopher medallion had come free of his collar and swung at his throat, throwing silver where the gas lamps allowed it. The bag bounced against his ribs. Rain needled the canal, and the canal took it without a single ripple showing. He vaulted a site fence where the hoarding had come loose, and something fell. It hit the paving ahead of her with a bright click and skittered — a disc the size of a two-pound coin, yellowed like an old tooth. He landed, spun, his hand already out— "No—" —then made his choice. He left it. He ran. She snatched the disc without breaking stride. Bone. Carved all over with a knot of lines too fine to read at a sprint, and warm. Warm the way a held hand is warm, except nobody had been holding it. "Last chance to keep this simple!" He cut off the towpath at the lock and threw himself through a gap in the hoarding — plywood painted to look like brickwork, a flaking sign screwed to it, LONDON UNDERGROUND: NO PUBLIC ACCESS — and dropped into the dark on the far side. She reached the gap and stopped. Warm air came up out of it. It smelled of copper and incense and, underneath both, of a match struck and drowned. Amber light climbed the stairs from somewhere deep, and it flickered, but it didn't move the way flame moves — it pulsed, slow, like something breathing. Under the rain she could hear a murmur down there, the sound of a crowd doing business, and music from no instrument she could name. Eighteen years in the job told her to hold the line, key her radio, let the machinery come to her. She keyed it anyway. "Control, this is Quinn, 4471. I require backup at Camden Lock." Static. She stepped closer to the gap and tried again, and this time the static bent. It pooled and thinned, pooled and thinned, the way a voice sounds through water, though no voice surfaced. The last radio that had gone quiet on her had cost her Morris. Three years, and she still couldn't get a straight answer about that night out of anyone, or out of any file. Law ended at the plywood. Whatever the clique moved through this city, whatever Herrera carried in that bag every full moon, it went on down those stairs. Behind her stood streetlights she could name and a whole world that would ask why she'd let him go. Ahead, far below, Herrera's shape crossed a stretch of lamplight, bag clutched to his chest. "Sod it." She ducked through the gap. A doorman unfolded from the shadow at the bottom of the first flight, big through the shoulders and dressed like a mourner, and his eyes caught the amber light and held it the way a cat's do. "Token." His hand came out, palm up. The nails were the colour of horn. She looked at the hand. Then past him, down the stairs, to where the murmur of the market rose and Herrera had gone out of the lamplight. Everything she'd told herself on the street about waiting, about doing this right, had gone down ahead of him. She set the bone disc in the sentry's palm. He placed it between his back teeth and bit. Bone clicked. He turned the disc over once, pocketed it, and studied her the way a man studies the label on an unfamiliar tin. "New face." "I'm following somebody." "Rules." He stepped aside, just far enough for one. "Buy nothing. Sign nothing. Keep your hands off anything that looks back at you." She took the stairs the way she took everything, straight down the middle. The steps were worn to shallow spoons. At the bottom, an arch of glazed tiles framed a platform, and set into the wall in mosaic letters was the name of a station that appeared on no map she had ever ridden. Lanterns hung from old cable runs in strings. Stalls crowded the platform and spilled down onto the trackbed — glass jars with things turning slow circles inside them, a tray of teeth sorted by size, bottles that fogged from within — and the crowd moved between them in hoods and high collars, human-shaped, most of them. "Herrera!" Every head on the platform turned. Some of them turned further than heads should. He had stopped between two stalls, bag hugged to his chest, the medallion hanging dead still against his shirt. Warm brown eyes, wide. "Quinn." He backed up a step. "Whatever you think I did—" "Turn around. Hands where I can see them."
created_at"2026-09-02T10:19:07.278Z" 9/2/2026, 10:19:07 AM
model"z-ai/glm-5.3-20260816"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency6158
moderation_latency(null)
generation_time523542
tokens_prompt1104
tokens_completion13774
native_tokens_prompt997
native_tokens_completion12902
native_tokens_completion_images(null)
native_tokens_reasoning11356
native_tokens_cached256
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)
usage0.05787276
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788344347-TiMG8KSWG2AxWdy0lUcs"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788344347-MGqeuIaFoMHkGrvb74lm"
upstream_id"20260902181907982005b42ac247fd"
provider_responses
0
endpoint_id"db975786-e7f6-4838-9e56-3e0b77f1bdc2"
id"20260902181907982005b42ac247fd"
is_byokfalse
latency6158
model_permaslug"z-ai/glm-5.3-20260816"
provider_name"Z.AI"
status200
total_cost0.05787276
cache_discount0.00029184
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
totalTags4
adverbTagCount1
adverbTags
0"He stepped aside [aside]"
dialogueSentences20
tagDensity0.2
leniency0.4
rawRatio0.25
effectiveRatio0.1
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1241
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)
87.91% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1241
totalAiIsms3
found
0
word"flickered"
count1
1
word"pulsed"
count1
2
word"mosaic"
count1
highlights
0"flickered"
1"pulsed"
2"mosaic"
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
narrationSentences78
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences78
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences94
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen47
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1249
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions19
wordCount1156
uniqueNames11
maxNameDensity0.43
worstName"Herrera"
maxWindowNameDensity1.5
worstWindowName"Herrera"
discoveredNames
Raven1
Nest1
Tomás1
Herrera5
Soho2
Camden2
Spanish1
Saint1
Christopher1
Morris1
Warm3
persons
0"Raven"
1"Nest"
2"Tomás"
3"Herrera"
4"Saint"
5"Christopher"
6"Morris"
places
0"Soho"
1"Spanish"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences62
glossingSentenceCount1
matches
0"looked like a man in a hurry, which told"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1249
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences94
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs47
mean26.57
std27.08
cv1.019
sampleLengths
021
197
28
310
4114
537
665
72
82
946
1018
116
126
1329
1456
1548
161
179
1839
196
2045
216
2273
2324
2411
2534
2634
2746
2815
292
305
3137
321
3313
3446
359
3633
372
383
3923
4013
4197
421
4314
4423
4511
468
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences78
matches
0"were worn"
95.83% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs192
matches
0"was checking"
1"was working"
2"was running"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount10
semicolonCount0
flaggedSentences7
totalSentences94
ratio0.074
matches
0"When the bar door swung shut behind him she caught a slice of the interior through the gap — old maps on the walls, photographs in black and white — and then the night closed over it again."
1"It hit the paving ahead of her with a bright click and skittered — a disc the size of a two-pound coin, yellowed like an old tooth."
2"He landed, spun, his hand already out—"
3"—then made his choice."
4"He cut off the towpath at the lock and threw himself through a gap in the hoarding — plywood painted to look like brickwork, a flaking sign screwed to it, LONDON UNDERGROUND: NO PUBLIC ACCESS — and dropped into the dark on the far side."
5"Amber light climbed the stairs from somewhere deep, and it flickered, but it didn't move the way flame moves — it pulsed, slow, like something breathing."
6"Stalls crowded the platform and spilled down onto the trackbed — glass jars with things turning slow circles inside them, a tray of teeth sorted by size, bottles that fogged from within — and the crowd moved between them in hoods and high collars, human-shaped, most of them."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1152
adjectiveStacks1
stackExamples
0"Ahead, far below, Herrera's"
adverbCount33
adverbRatio0.028645833333333332
lyAdverbCount1
lyAdverbRatio0.0008680555555555555
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences94
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences94
mean13.29
std10.73
cv0.808
sampleLengths
021
124
235
338
48
510
623
76
83
922
1033
119
122
1316
148
1529
164
1720
186
1935
202
212
2218
2328
2414
254
266
276
2822
297
3013
3123
326
3314
3414
3527
367
371
384
393
402
417
421
4317
4414
456
4645
476
487
4915
83.69% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.5212765957446809
totalSentences94
uniqueOpeners49
92.59% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences72
matches
0"—then made his choice."
1"Then past him, down the"
ratio0.028
42.22% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount32
totalSentences72
matches
0"He paused under the sign"
1"He turned his collar up"
2"She gave him half a"
3"He took the back ways"
4"He paused at shop glass"
5"She checked the worn leather"
6"It told her he was"
7"He threw a look over"
8"He dropped onto the towpath"
9"She took the wall the"
10"He spat something in Spanish"
11"He vaulted a site fence"
12"It hit the paving ahead"
13"He landed, spun, his hand"
14"He left it."
15"She snatched the disc without"
16"He cut off the towpath"
17"She reached the gap and"
18"It smelled of copper and"
19"She keyed it anyway."
ratio0.444
78.06% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount55
totalSentences72
matches
0"The green neon above the"
1"Quinn watched him from the"
2"He paused under the sign"
3"He turned his collar up"
4"She gave him half a"
5"He took the back ways"
6"Herrera was working."
7"He paused at shop glass"
8"She checked the worn leather"
9"It told her he was"
10"Soho fell away behind them"
11"Camden swallowed them both."
12"The market stalls stood chained"
13"A night bus came down"
14"He threw a look over"
15"He dropped onto the towpath"
16"The words reached her in"
17"She took the wall the"
18"He spat something in Spanish"
19"The Saint Christopher medallion had"
ratio0.764
69.44% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences72
matches
0"By the time the pavements"
ratio0.014
90.59% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences41
technicalSentenceCount3
matches
0"In a dark window her own reflection kept pace with her, the rain having pasted her salt-and-pepper crop flat to her skull, jaw set, brown eyes that gave nothing…"
1"Behind her stood streetlights she could name and a whole world that would ask why she'd let him go."
2"Stalls crowded the platform and spilled down onto the trackbed — glass jars with things turning slow circles inside them, a tray of teeth sorted by size, bottle…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
91.1447%