Run: 2026-09-02-01M1H5HDMABMFMXHW9K3SSD92V

Run Details

Duration:
59.2s
Cost:
$0.000435
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 rain came sideways off Dean Street, hammering the awnings and turning the neon to smeared paint. Quinn pulled her collar up and watched the man in the grey hoodie cut across the road without checking traffic. A black cab swerved, horn blaring, and he didn't flinch. "Control, this is Quinn. I'm in foot pursuit, eastbound on Old Compton. Male, grey hoody, approximately five-ten. Requesting backup." "Copy, Quinn. Nearest unit is eight minutes out." Eight minutes. The figure banked left into a narrow alley between a shuttered kebab shop and a boarded-up record store, and Quinn ran. Her boots slapped puddles black with oil. The alley stank of rot and wet cardboard. Ahead, the hoodie flickered between dumpsters. She pushed harder, breath burning, the old injury in her knee singing its familiar complaint. Eighteen years of this. Eighteen years and her knees were filing for retirement. He burst out the far end onto a service road behind the market stalls, vaulted a chained gate. She hit the gate two seconds later, hauled herself over, landed wrong and kept moving. "Stop! Police!" He didn't stop. He went down a set of concrete stairs half-hidden behind a fly-tipped mattress, taking them three at a time. At the bottom, a steel door stood open against the dark, spilling thin yellow light. He went through and the light vanished. Quinn slowed at the top of the stairs. The rain drummed on her hood. Behind her, the service road sat empty. Ahead, a door hung open in a city that had been abandoned decades ago — and no legitimate person ran like that. No legitimate person knew that door existed. "Backup is still seven minutes out, Quinn." Seven minutes. She keyed her radio. "Quinn, hold your position." She looked at the door. She thought of Morris. Three years, and the file on his death still read like a bad novel — witness statements that contradicted each other, a coroner's report that described injuries no blade in evidence could have made, and a man named Herrera whose name kept surfacing in the margins like a watermark. Off-the-books medic. Worked the freaks, her informant had said last week. Works out of a bar in Soho. Green sign. You can't miss it. She hadn't missed it. She'd watched the Nest for two nights, and tonight the man in the grey hoodie had come out the side door with a case in his hand, and the case had glowed. "Detective Quinn, do you copy?" She clipped the radio to her belt without answering. Her hands were cold. Her watch said 23:41. Morris would have gone down the stairs. That was the whole problem with Morris. She descended. The stairs ended in a tiled corridor that had once belonged to a Tube station. Chord Street, said a mosaic sign, half its letters gone. The tiles wept condensation. Someone had strung bulb-lights along the ceiling on wire, and they swung in a draft that came from somewhere deep, throwing her shadow long and wrong against the walls. The corridor opened into a vaulted chamber, and Quinn stopped walking. Where the platform should have been, market stalls crowded shoulder to shoulder — trestle tables under striped awnings, lanterns hanging from the iron girders overhead. Hundreds of people moved through the aisle. More than hundreds. A woman in a waxwork coat haggled over jars of something that glittered green. A stall sold teeth, arranged by size. A man with no shadow counted coins into a leather purse, and his fingers had too many joints. Bone tokens. A boy no older than twelve worked a table by the entrance, carving small discs from what looked like femurs. He glanced up at Quinn and his carving knife went still. "You lost?" "Looking for a man. Grey hoodie. Came through maybe a minute ago." "Everyone comes through. Nobody comes in without a token." The boy's eyes dropped to her belt, to the radio, to the shape of it under her jacket. His mouth thinned. "You're one of them. Ordinary." "I can pay." "Then you'd have a token." He jerked his chin past her shoulder. "That's the rules, and that's him, and he enforces them." The man who had been standing behind her — she hadn't heard him approach, which was its own kind of terrifying — wore a butcher's apron and stood seven feet tall without effort. His skin had the grey-brown texture of tree bark. "Ordinary doesn't walk in here." His voice came from somewhere below his chest. "Entrance is by token only. Full moon rules." Quinn turned. Kept her hands loose at her sides, away from the holster. The market behind him had gone quiet in a spreading circle, faces turning toward her the way a crowd turns toward an accident. "My name's Quinn. Metropolitan Police. I'm chasing a suspect who came through that door thirty seconds ago." The big man smiled. It didn't help. "No law down here but Market law." "Then consider me a customer." "With what coin?" She reached slowly into her inside pocket and drew out the folded photograph. Morris, three years ago, at the boundary of a crime scene that no longer appeared on any map. She'd taken it from his desk after the funeral. On the back, in his handwriting: *ask the boy with the medallion.* "I have information. Someone down here will want it." The big man looked at the photograph. Something moved in his bark-crease face — recognition, or its cousin — and he took it from her fingers with a delicacy she hadn't expected. "Where did you get this?" "A dead friend." Down the length of the market aisle, between the lanterns and the awnings, the grey hoodie surfaced once — a pale face glancing back over a shoulder — before it vanished behind a stall hung with caged birds. The birds went silent all at once, every cage, a held breath through the whole chamber. The big man pocketed the photograph. "Market law says a trespasser gets thrown out. Or gets put in the ground." He rolled his shoulders, and the sound was like timber settling. "But the market also likes a good bargain, and you've shown me a picture I've been told to forget. So. One chance. You walk the aisle, you find your man, and you take your business outside these walls. You cause trouble in the Market—" He didn't finish it. He stepped aside. The aisle stretched ahead of her, lanterns burning low, a hundred faces watching her take the first step. Somewhere behind the caged birds, a door scraped open on stone. Quinn walked.
created_at"2026-09-02T13:39:36.209Z" 9/2/2026, 1:39:36 PM
model"z-ai/glm-5.3-flash-20260826"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency5098
moderation_latency(null)
generation_time59169
tokens_prompt1104
tokens_completion1635
native_tokens_prompt997
native_tokens_completion1442
native_tokens_completion_images(null)
native_tokens_reasoning21
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)
usage0.000435275
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788356376-pH4tlLWVTTlchQSJboQz"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788356376-9j9Yv1TutlGNISaGglx8"
upstream_id"202609022139365e3d64db5149443c"
provider_responses
0
endpoint_id"8e9fe48b-2f91-41c3-a8a7-e4a93a8c4ff0"
id"202609022139365e3d64db5149443c"
is_byokfalse
latency5098
model_permaslug"z-ai/glm-5.3-flash-20260826"
provider_name"Z.AI"
status200
total_cost0.000435275
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
totalTags4
adverbTagCount0
adverbTags(empty)
dialogueSentences24
tagDensity0.167
leniency0.333
rawRatio0
effectiveRatio0
95.43% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1095
totalAiIsmAdverbs1
found
0
adverb"slowly"
count1
highlights
0"slowly"
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)
86.30% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1095
totalAiIsms3
found
0
word"flickered"
count1
1
word"familiar"
count1
2
word"mosaic"
count1
highlights
0"flickered"
1"familiar"
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
narrationSentences80
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences80
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences100
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen48
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords6
totalWords1104
ratio0.005
matches
0"ask the boy with the medallion."
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions18
wordCount893
uniqueNames8
maxNameDensity0.78
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Dean1
Street2
Quinn7
Morris4
Herrera1
Soho1
Nest1
Tube1
persons
0"Quinn"
1"Morris"
2"Herrera"
places
0"Dean"
1"Street"
2"Soho"
3"Tube"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences56
glossingSentenceCount1
matches
0"looked like femurs"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.906
wordCount1104
matches
0"No law down here but"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences100
matches
0"knew that door"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs46
mean24
std21.34
cv0.889
sampleLengths
047
119
28
323
449
533
62
744
88
942
107
116
124
1382
1436
155
1617
1714
182
1958
2011
2174
2233
232
2412
2535
263
2722
2842
2921
3036
3117
3214
335
343
3552
369
3732
385
393
4054
416
4269
437
4429
452
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences80
matches
0"been abandoned"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs144
matches
0"were filing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount9
semicolonCount0
flaggedSentences6
totalSentences100
ratio0.06
matches
0"Ahead, a door hung open in a city that had been abandoned decades ago — and no legitimate person ran like that."
1"Three years, and the file on his death still read like a bad novel — witness statements that contradicted each other, a coroner's report that described injuries no blade in evidence could have made, and a man named Herrera whose name kept surfacing in the margins like a watermark."
2"Where the platform should have been, market stalls crowded shoulder to shoulder — trestle tables under striped awnings, lanterns hanging from the iron girders overhead."
3"The man who had been standing behind her — she hadn't heard him approach, which was its own kind of terrifying — wore a butcher's apron and stood seven feet tall without effort."
4"Something moved in his bark-crease face — recognition, or its cousin — and he took it from her fingers with a delicacy she hadn't expected."
5"Down the length of the market aisle, between the lanterns and the awnings, the grey hoodie surfaced once — a pale face glancing back over a shoulder — before it vanished behind a stall hung with caged birds."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount892
adjectiveStacks0
stackExamples(empty)
adverbCount19
adverbRatio0.021300448430493273
lyAdverbCount2
lyAdverbRatio0.002242152466367713
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences100
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences100
mean11.04
std9.36
cv0.848
sampleLengths
017
120
210
319
48
52
621
77
88
96
1015
114
129
1318
1415
152
163
1719
1815
197
208
216
227
2322
247
257
262
274
284
295
304
3149
322
339
347
352
364
374
3832
395
409
414
424
437
447
452
4615
4710
484
4929
72.67% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.49
totalSentences100
uniqueOpeners49
92.59% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences72
matches
0"More than hundreds."
1"Somewhere behind the caged birds,"
ratio0.028
70.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount27
totalSentences72
matches
0"Her boots slapped puddles black"
1"She pushed harder, breath burning,"
2"He burst out the far"
3"She hit the gate two"
4"He didn't stop."
5"He went down a set"
6"He went through and the"
7"She keyed her radio."
8"She looked at the door."
9"She thought of Morris."
10"You can't miss it."
11"She hadn't missed it."
12"She'd watched the Nest for"
13"She clipped the radio to"
14"Her hands were cold."
15"Her watch said 23:41."
16"He glanced up at Quinn"
17"His mouth thinned."
18"He jerked his chin past"
19"His skin had the grey-brown"
ratio0.375
71.11% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount56
totalSentences72
matches
0"The rain came sideways off"
1"Quinn pulled her collar up"
2"A black cab swerved, horn"
3"The figure banked left into"
4"Her boots slapped puddles black"
5"The alley stank of rot"
6"She pushed harder, breath burning,"
7"He burst out the far"
8"She hit the gate two"
9"He didn't stop."
10"He went down a set"
11"He went through and the"
12"Quinn slowed at the top"
13"The rain drummed on her"
14"She keyed her radio."
15"She looked at the door."
16"She thought of Morris."
17"You can't miss it."
18"She hadn't missed it."
19"She'd watched the Nest for"
ratio0.778
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences72
matches(empty)
ratio0
12.99% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences33
technicalSentenceCount6
matches
0"Ahead, a door hung open in a city that had been abandoned decades ago — and no legitimate person ran like that."
1"Three years, and the file on his death still read like a bad novel — witness statements that contradicted each other, a coroner's report that described injuries…"
2"Someone had strung bulb-lights along the ceiling on wire, and they swung in a draft that came from somewhere deep, throwing her shadow long and wrong against th…"
3"A woman in a waxwork coat haggled over jars of something that glittered green."
4"The man who had been standing behind her — she hadn't heard him approach, which was its own kind of terrifying — wore a butcher's apron and stood seven feet tal…"
5"The aisle stretched ahead of her, lanterns burning low, a hundred faces watching her take the first step."
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
86.7031%