Run: 2026-03-15-01KKS2XKMJ6JVHC9E0RVGMMB1K

Run Details

Duration:
31.6s
Cost:
$0.005672
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 stairs down to the abandoned platform smelled of rust and something else. Something sweet underneath, like overripe fruit left too long in a bin. Harlow Quinn clicked her torch on and swept the beam across the curved tile walls. Posters from 1962 peeled in long strips. A rat scuttled into a crack. "Down here, Detective." The voice echoed up from the platform below. Sergeant Webb had gotten the call forty minutes ago and beaten her to the scene by fifteen. She'd spent those fifteen stuck in traffic on Camden High Street, watching buskers and tourists stream past, none of them knowing what lay beneath their feet. She descended. Thirty-two steps. She counted them without thinking, the way she'd counted steps for eighteen years on the force. Her left wrist caught the torch beam as she moved. The leather strap of her watch had cracked again. She'd need to replace it soon. The body lay near the old ticket barrier. A man, mid-fifties, grey hair matted against the platform. Face down. One arm stretched out as if reaching for something. Webb stood over him with a notepad, his young face pinched in that way new detectives got when they'd seen three bodies and thought they understood death. "Mugging gone wrong, looks like. Wallet's gone, phone's gone, watch is gone." Quinn crouched beside the body. She didn't touch it yet. Just looked. The man's shoes caught her attention first. Loafers. Good leather, recently polished. Small scuff on the right toe, nothing on the left. The kind of shoes that cost more than Webb made in a week. "These aren't Camden shoes." "Pardon?" "His shoes. His coat too." She nodded toward the dark wool overcoat bunched around the man's shoulders. "Savile Row cut, or close to it. This man didn't come down here to catch a Tube that doesn't run anymore." Webb flipped a page in his notepad. "Could be lost. Could be meeting someone. Wealthy types come to Camden for all sorts, don't they? Drugs, women—" "Then where's his car?" The question hung between them. Webb's pen stopped moving. "I've had uniforms check the streets above. No abandoned vehicles matching what we'd expect. No taxi records. No Uber drops in the last three hours within two blocks." Quinn stood, her knees popping once. "A man in a four-thousand-pound coat doesn't walk from Mayfair to an abandoned Tube station." She moved her torch along the platform. The original tiles had held up well, all things considered. Dark green with a cream border. Some graffiti newer than others. A tag in red spray paint. A stencil of a rat wearing a crown. And then, near the far end where the tunnel mouth gaped black, something scratched into the tile. She approached it, boots crunching on debris. "What've we got here?" Webb followed. "Vandalism, probably. Kids break in all the time. There's a whole community of urban explorers—" "This isn't vandalism." The scratches formed a symbol. Circular, with lines radiating outward at uneven intervals. Not carved with a key or a knife. The grooves were too precise, too deliberate. She'd seen markings like this before, three years ago. In the basement of a warehouse in Docklands where DS Morris had drawn his last breath. The case file had listed them as "unknown origin, possible gang signs." She'd believed that. She'd had no reason not to. "Webb, get forensics down here. I want photos of this symbol from every angle." "Ma'am, if this is just—" "Did I stutter?" He flinched. She watched him pull out his radio and make the call, watched him walk a few paces away to give himself privacy from the crazy woman who wanted forensics to photograph graffiti. Let him think she'd lost the plot. She'd lost it years ago. The question was whether she was finding a different one. She returned to the body. Crouched again. This time she pulled on nitrile gloves and lifted the man's coat collar. No wallet, no phone, no watch. Webb had noted all of that. But Webb hadn't noted the marks on the man's neck. Four small punctures, arranged in a semicircle. Not a knife wound. Not a human bite. The skin around each puncture had turned black, the discoloration spreading in thin lines like roots from a plant. "Webb." He looked up from his radio. "When you rolled him over to check for ID, did you notice these?" He approached, squinted. "Bruising, maybe? If he fell—" "Four puncture wounds in a semicircular pattern, each exactly two centimetres apart, with necrotic spreading that suggests some kind of venom or chemical agent." She let the coat drop. "Does that sound like a fall to you?" Silence. His notepad hung loose at his side. "I'll get the pathologist to—" "I want Dr. Achebe specifically. Not her junior, not whoever's on rotation. Achebe." "You're going to have to justify that to the super." "Then I'll justify it." She stood and swept her torch across the platform again. The beam caught something near the wall, half-hidden beneath a discarded newspaper. A small object, brass-coloured, catching the light. She crossed to it in four strides and picked it up. A compass. Old, with a patina of verdigris across the casing. The face was etched with symbols she didn't recognise, patterns that seemed to shift when she tilted it. The needle inside didn't point north. It pointed toward the tunnel mouth, trembling slightly, as if whatever lay at the other end pulled at it with invisible hands. "What's that?" Quinn closed her fingers around the compass. The metal was warm against her palm. Warmer than it should have been, sitting on a cold platform in an abandoned station. "Evidence." "Looks like junk. Some old compass—" "Bag it." Webb produced an evidence bag from his kit, holding it open. She dropped the compass inside and watched the needle continue to point at the tunnel, even through the plastic. "Run the victim's prints through the system. If he's wearing clothes like that, someone's reported him missing." "And if no one has?" Quinn turned to face him. Her jaw tightened. "Then we've got a bigger problem than a mugging gone wrong."
created_at"2026-03-15T15:47:59.772Z" 3/15/2026, 3:47:59 PM
model"z-ai/glm-5-turbo-20260315"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2282
moderation_latency(null)
generation_time31489
tokens_prompt1149
tokens_completion1973
native_tokens_prompt1020
native_tokens_completion1697
native_tokens_completion_images(null)
native_tokens_reasoning388
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"
usage0.00567232
router(null)
provider_responses
0
endpoint_id"9ce3b132-3a17-4fea-8092-0e8e519ed32b"
id"20260315234800475301a197df4dee"
is_byokfalse
latency2282
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-1773589679-xM4qSCMWSHSywFTQ2x8F"
upstream_id"20260315234800475301a197df4dee"
total_cost0.00567232
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
totalTags4
adverbTagCount0
adverbTags(empty)
dialogueSentences33
tagDensity0.121
leniency0.242
rawRatio0
effectiveRatio0
95.14% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1028
totalAiIsmAdverbs1
found
0
adverb"slightly"
count1
highlights
0"slightly"
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)
85.41% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1028
totalAiIsms3
found
0
word"echoed"
count1
1
word"silence"
count1
2
word"etched"
count1
highlights
0"echoed"
1"silence"
2"etched"
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
narrationSentences85
matches(empty)
92.44% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences85
filterMatches
0"watch"
1"think"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences114
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen34
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1028
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions20
wordCount740
uniqueNames8
maxNameDensity1.22
worstName"Webb"
maxWindowNameDensity2.5
worstWindowName"Webb"
discoveredNames
Quinn5
Webb9
Camden1
High1
Street1
Docklands1
Morris1
Silence1
persons
0"Quinn"
1"Webb"
2"Morris"
places
0"Camden"
1"High"
2"Street"
3"Docklands"
globalScore0.892
windowScore0.833
66.67% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences60
glossingSentenceCount2
matches
0"as if reaching for something"
1"patterns that seemed to shift when she tilted it"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1028
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences114
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs47
mean21.87
std21.58
cv0.987
sampleLengths
053
13
251
345
428
527
612
747
84
91
1038
1126
124
139
1449
1566
164
1717
183
1974
2014
215
223
2356
2476
251
266
2713
288
2937
308
315
3213
3310
344
3540
3657
372
3829
391
406
412
4230
4317
445
458
4611
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences85
matches
0"was etched"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs131
matches
0"was finding"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences114
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount744
adjectiveStacks0
stackExamples(empty)
adverbCount18
adverbRatio0.024193548387096774
lyAdverbCount2
lyAdverbRatio0.002688172043010753
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences114
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences114
mean9.02
std6.67
cv0.74
sampleLengths
013
112
215
37
46
53
68
717
826
92
102
1116
1210
139
146
158
169
172
189
1927
2012
215
225
232
247
251
264
2710
2813
294
301
3117
3221
337
3419
354
365
374
3834
3915
407
4110
426
435
446
458
4617
477
484
492
76.02% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.4824561403508772
totalSentences114
uniqueOpeners55
44.44% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences75
matches
0"Dark green with a cream"
ratio0.013
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount22
totalSentences75
matches
0"She'd spent those fifteen stuck"
1"She counted them without thinking,"
2"Her left wrist caught the"
3"She'd need to replace it"
4"She didn't touch it yet."
5"She nodded toward the dark"
6"She moved her torch along"
7"She approached it, boots crunching"
8"She'd seen markings like this"
9"She'd had no reason not"
10"She watched him pull out"
11"She'd lost it years ago."
12"She returned to the body."
13"He looked up from his"
14"He approached, squinted."
15"She let the coat drop"
16"His notepad hung loose at"
17"She stood and swept her"
18"She crossed to it in"
19"It pointed toward the tunnel"
ratio0.293
66.67% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount59
totalSentences75
matches
0"The stairs down to the"
1"Something sweet underneath, like overripe"
2"Harlow Quinn clicked her torch"
3"Posters from 1962 peeled in"
4"A rat scuttled into a"
5"The voice echoed up from"
6"Sergeant Webb had gotten the"
7"She'd spent those fifteen stuck"
8"She counted them without thinking,"
9"Her left wrist caught the"
10"The leather strap of her"
11"She'd need to replace it"
12"The body lay near the"
13"A man, mid-fifties, grey hair"
14"Webb stood over him with"
15"Quinn crouched beside the body."
16"She didn't touch it yet."
17"The man's shoes caught her"
18"The kind of shoes that"
19"She nodded toward the dark"
ratio0.787
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences75
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences27
technicalSentenceCount1
matches
0"It pointed toward the tunnel mouth, trembling slightly, as if whatever lay at the other end pulled at it with invisible hands."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount1
matches
0"Quinn stood, her knees popping once"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
87.0039%