Run: 2026-09-02-01M1H56VX0TR01GH04T2STSFBD

Run Details

Duration:
55.1s
Cost:
$0.000443
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="4414" name="Eva Kowalski" aliases="Eva, Evie" pronouns="she/her" species="Human" storyRole="Best Friend"> <eyeColor>green</eyeColor> <hair>curly red</hair> <height>5'4"</height> <age>26</age> <glasses>round glasses</glasses> <satchel>worn leather satchel full of books</satchel> <freckles>freckled complexion</freckles> <nervousHabit>tucking hair behind her left ear</nervousHabit> <description>Aurora's childhood friend and an occult researcher.</description> <backstory>Moved to London two years before Aurora and works as a research assistant at the British Museum's restricted archives. She holds a master's degree in Ancient History from Oxford.</backstory> </character> <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> <item id="2004" name="Veil Compass" aliases="the Compass, shadow compass" type="Tool" origin="The Veil Market"> <casingMaterial>small brass compass</casingMaterial> <faceMarkings>face etched with protective sigils</faceMarkings> <needle>points toward the nearest supernatural rift or portal</needle> <patina>casing has a patina of verdigris</patina> <creator>crafted by a Shade artisan</creator> <description>A compass attuned to supernatural energy.</description> </item> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the mystery genre. A detective arrives at a crime scene in an unusual location. Something is wrong — the evidence doesn't add up. A colleague is present, offering a different interpretation. Through careful observation and deduction, the detective begins to see what others have missed. 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 crime scene tape fluttered in the tunnel draft, a bright yellow wound across the dark mouth of the abandoned platform. Detective Harlow Quinn lifted it with one hand and ducked under, her boots grinding broken tile into the dust. Below, the dead man lay on his back across the old northbound tracks, arms spread like a starfish. His coat was expensive. His shoes were ruined. His throat had been opened. "Morning, Detective." PC Dellows stood near the body, torch beam wobbling. "You're not going to believe this one." "Try me." "Homeless bloke found him at five. Throat cut, but — here's the thing — barely any blood. We're talking a pint, maybe two, on the tracks. A wound like that should've painted the platform." Quinn crouched beside the body, careful of the chalk outline already drawn. The dead man was mid-forties, soft hands, a gold signet ring with a serpent coiled around a stone that wasn't any stone she recognised — black shot through with veins of silver. She leaned closer. The stone pulsed. She blinked and it didn't. "Any ID?" "Wallet's gone. But there's a token in his left hand." Dellows held up an evidence bag. Inside sat a small object carved from bone, etched with lines that made Quinn's eyes slide off it no matter how hard she focused. "Everyone keeps saying it's a transit token," Dellows said. "Some kind of pub membership thing, maybe." "It's not a transit token." Quinn didn't touch the bag. "Where's the blood, Dellows. Not a little. All of it." "Bleached out? rats?" "Rats don't clean a scene in four hours and then leave the body intact." She circled the corpse, torch sweeping the tracks. Old soot, decades of it, thick on the tunnel walls — but on the third rail's wooden supports, someone had scraped the soot away in wide arcs. Fresh smears. And on the platform edge, half-visible in the grime, footprints. Dozens. All facing the same direction. Into the tunnel, not out. "Crowd walked through here recently," she said. "Trains stopped running on this line in the eighties." "Then who's the crowd?" Dellows shone his light down the tunnel. "Could be youth. Urban exploring, that's all the rage—" "With enough people to leave this many prints?" She photographed them with her phone. The soot had preserved the edges. Different shoe sizes. Some barefoot. Some — she stopped. Some prints ended mid-stride, as if the wearer had simply stopped existing halfway through a step. Dellows came up beside her and looked where she pointed, then laughed. "Wind erosion, probably." "Underground." "You always do this, Detective." "Do what." "Make it weird. We've got a body, we've got a cause of death, all we need is a name and an arrest. It's a mugging gone wrong. Rich bloke in the wrong tunnel." "A mugging." Quinn stood and brushed grit from her knees. "That took his wallet but left a gold ring with a stone I can't identify, a bone token in his fist, and all his blood." "Accomplices, maybe. Something about the blood I don't understand, but I know a professor at UCL who could—" "And this?" She crouched again by the nearest rail and pointed at a mark in the rust. Circular. Deliberate. A sigil, scored into the metal, and around it the rust had grown outward in a perfect ring — not eaten away, but grown, blooming like frost on glass. Dellows leaned in. "Vandals." "With a chemistry degree? Look at the oxidation. That took weeks, not days. Someone planned this." She photographed it, then straightened and swept her torch across the rest of the platform. Along the far wall, where a map of the Underground should have hung, there was nothing. Just four mounting bolts and a cleaner rectangle of wall. "Sign's missing." "Scavengers." "Scavengers took a metal Tube sign but left the copper wiring in the ceiling?" She angled the light up. Every strip of cable, every brass fitting, still there. "This station wasn't looted. It was curated." "Curated," Dellows repeated, flat. "Like a shopfront." She walked the platform's length, counting doorways. Two bricked over. One rusted shut. The fourth stood open, and beyond it, a stairwell where no stairwell appeared on any map she'd seen of this line. Draft came up it, warm and smelling of smoke and something sweet — myrrh, maybe. Incense. "Downtown," she said. "That's a maintenance shaft—" "That's a trading post." She clicked her torch off and looked at him in the dimness. "Think about it. A dead man with a membership token in a place that shouldn't exist. A market big enough to need regular foot traffic. Somebody selling something down here that people bleed for." "You've been on about this since the Morris case." Dellows's voice tightened. "You want another dead partner on your conscience?" The words landed exactly where he'd aimed them. Quinn let the silence sit for three seconds, then turned back to the body. "I want the truth. That's the job." She knelt one last time by the dead man's hand. The bone token rested in his palm — but it hadn't been clenched. It had been placed there. Fingers arranged around it, deliberate, the way a shopkeeper arranges goods in a window. "He wasn't robbed," she said. "He was displayed." Dellows lowered his torch. "Displayed for who?" Quinn looked down the open stairwell, where the warm draft carried its sweet, thick smoke out of the dark. "For whoever was supposed to find him." She pulled out her phone and called it in — a second forensics team, a transport historian, and the museum. Any archive. If this token had come from somewhere, someone underground would know. Dellows watched her type. "You're bringing in civilians?" "An expert. That's all." She pocketed the phone and started toward the stairwell, torch raised. "Stay here. Nobody comes down those stairs before I get a look at what's below." "And if someone's down there?" Quinn stepped onto the first stair, and the sweet smoke curled around her torchlight like it had been waiting for her. "Then I'm going to go shopping."
created_at"2026-09-02T13:33:50.604Z" 9/2/2026, 1:33:50 PM
model"z-ai/glm-5.3-flash-20260826"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4078
moderation_latency(null)
generation_time54803
tokens_prompt1112
tokens_completion1606
native_tokens_prompt1027
native_tokens_completion1462
native_tokens_completion_images(null)
native_tokens_reasoning64
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)
usage0.000442525
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788356030-ugG1Nn4L0O8Mq8i5SGeJ"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788356030-N7Z745WqD2459RV9iRIa"
upstream_id"20260902213350356033dc60494b5e"
provider_responses
0
endpoint_id"8e9fe48b-2f91-41c3-a8a7-e4a93a8c4ff0"
id"20260902213350356033dc60494b5e"
is_byokfalse
latency4078
model_permaslug"z-ai/glm-5.3-flash-20260826"
provider_name"Z.AI"
status200
total_cost0.000442525
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
totalTags18
adverbTagCount1
adverbTags
0"She crouched again [again]"
dialogueSentences50
tagDensity0.36
leniency0.72
rawRatio0.056
effectiveRatio0.04
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1010
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)
75.25% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1010
totalAiIsms5
found
0
word"fluttered"
count1
1
word"pulsed"
count1
2
word"etched"
count1
3
word"perfect"
count1
4
word"silence"
count1
highlights
0"fluttered"
1"pulsed"
2"etched"
3"perfect"
4"silence"
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
narrationSentences68
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences68
filterMatches(empty)
hedgeMatches
0"started to"
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
maxSentenceWordsSeen34
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1019
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
70.38% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions23
wordCount628
uniqueNames7
maxNameDensity1.59
worstName"Dellows"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn8
Dellows10
Old1
Circular1
Underground1
Two1
persons
0"Harlow"
1"Quinn"
2"Dellows"
3"Underground"
4"Two"
places
0"Old"
globalScore0.704
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences37
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.981
wordCount1019
matches
0"not eaten away, but grown, blooming like frost on glass"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences100
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs49
mean20.8
std18.39
cv0.884
sampleLengths
040
131
218
32
434
555
62
740
816
920
103
1172
127
139
144
1516
1645
1715
181
195
202
2133
2235
2318
2448
254
2657
272
281
2935
304
3153
323
334
3450
3520
3622
377
3842
398
407
4119
427
4333
448
4530
465
4721
486
84.62% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences68
matches
0"were ruined"
1"been opened"
2"been clenched"
3"been placed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs104
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount0
flaggedSentences7
totalSentences100
ratio0.07
matches
0"The dead man was mid-forties, soft hands, a gold signet ring with a serpent coiled around a stone that wasn't any stone she recognised — black shot through with veins of silver."
1"Old soot, decades of it, thick on the tunnel walls — but on the third rail's wooden supports, someone had scraped the soot away in wide arcs."
2"Some — she stopped."
3"A sigil, scored into the metal, and around it the rust had grown outward in a perfect ring — not eaten away, but grown, blooming like frost on glass."
4"Draft came up it, warm and smelling of smoke and something sweet — myrrh, maybe."
5"The bone token rested in his palm — but it hadn't been clenched."
6"She pulled out her phone and called it in — a second forensics team, a transport historian, and the museum."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount624
adjectiveStacks0
stackExamples(empty)
adverbCount20
adverbRatio0.03205128205128205
lyAdverbCount2
lyAdverbRatio0.003205128205128205
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
mean10.19
std8.47
cv0.831
sampleLengths
021
119
218
34
44
55
611
77
82
934
1012
1132
123
133
145
152
1616
1724
189
197
2010
2110
223
2322
2427
252
2610
271
285
295
307
319
324
337
349
3514
366
373
382
394
4016
4112
423
431
445
452
4633
4710
4825
4918
92.00% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.64
totalSentences100
uniqueOpeners64
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences57
matches
0"All facing the same direction."
1"Just four mounting bolts and"
ratio0.035
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount16
totalSentences57
matches
0"His coat was expensive."
1"His shoes were ruined."
2"His throat had been opened."
3"She leaned closer."
4"She blinked and it didn't."
5"She circled the corpse, torch"
6"She photographed them with her"
7"She crouched again by the"
8"She photographed it, then straightened"
9"She angled the light up"
10"She walked the platform's length,"
11"She clicked her torch off"
12"She knelt one last time"
13"It had been placed there."
14"She pulled out her phone"
15"She pocketed the phone and"
ratio0.281
65.26% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount45
totalSentences57
matches
0"The crime scene tape fluttered"
1"Detective Harlow Quinn lifted it"
2"His coat was expensive."
3"His shoes were ruined."
4"His throat had been opened."
5"PC Dellows stood near the"
6"Quinn crouched beside the body,"
7"The dead man was mid-forties,"
8"She leaned closer."
9"The stone pulsed."
10"She blinked and it didn't."
11"Dellows held up an evidence"
12"Quinn didn't touch the bag"
13"She circled the corpse, torch"
14"Dellows shone his light down"
15"She photographed them with her"
16"The soot had preserved the"
17"Some — she stopped."
18"Some prints ended mid-stride, as"
19"Dellows came up beside her"
ratio0.789
87.72% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences57
matches
0"If this token had come"
ratio0.018
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences23
technicalSentenceCount1
matches
0"The dead man was mid-forties, soft hands, a gold signet ring with a serpent coiled around a stone that wasn't any stone she recognised — black shot through with…"
69.44% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags18
uselessAdditionCount2
matches
0"She circled, torch sweeping the tracks"
1"Dellows repeated, flat"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount1
fancyTags
0"Dellows repeated (repeat)"
dialogueSentences50
tagDensity0.1
leniency0.2
rawRatio0.2
effectiveRatio0.04
91.4893%