Run: 2026-09-02-01M1GVWZE67S77TBBBXV6212H4

Run Details

Duration:
6m 29s
Cost:
$0.055086
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 ladder cage ran forty rungs into the dark, and Harlow Quinn counted every one of them on the way down, boot soles striking the rungs in even time. Street cold gave way halfway to something older — wet stone, iron oxide, dust that had been settling since before she was born. Her boots met the platform of Alderman Street station, closed in 1932 and sealed so long that even the graffiti had faded to ghosts. Halogen lamps burned on tripods in a crescent around the body. Beyond them, the northbound and southbound tunnel mouths opened into black. A photographer's flash popped, froze the dead man's profile in white, and went dark again. DS Mercer stood at the edge of the light with a scene log under his arm. "Ma'am. Structural surveyor found him at ten to six. White male, forties, no wallet, no phone, no watch. Coat's eight hundred quid if it's a pound, so he's no rough sleeper." He thumbed the pages. "There's a maintenance door standing open two hundred metres up the southbound. My read? The fencing crews that use the tunnels. Deal goes wrong, or his heart gives out and they panic. They drag him out of the way, rob him, and leg it. Tragic, not mysterious." Quinn circled the body. The man lay on his back at the platform edge, one arm flung across the dropped kerb, a bruise the size of a thumbprint at his temple and no wound that explained a dead man. She crouched. Grey dust lay over everything, thick as felt. Her own boots had gone grey to the lace hooks within ten steps of the ladder, and so had Mercer's, and the photographer's, their prints crossing and recrossing like tram lines. She lifted the dead man's ankle and turned the shoe to the light. The sole was clean. Not dusty. Not scuffed. Factory fresh. "You've walked all over this platform," she told Mercer. "All of you have trampled your own prints into each other, but the edges still read. There's no boot print here in his size. His soles never touched this floor. He didn't walk in." "Trampled out." "Eight of you, and every print's accounted for." She set the foot down. She turned back the collar of the charcoal coat, then the shirt beneath, and studied the skin along his left flank. Purple, fixed, mapped onto his left side, his left arm, the left of his face — on a man lying flat on his back. "He lay curled on his left side for three or four hours, somewhere else. Then somebody straightened him out and arranged him. Does the log show anyone moving him?" Mercer checked. "Surveyor found him like this. SOCO log's clean." "So they moved the body after death. Fine. That's what I said — they panicked." Quinn rose and walked the platform north, following what the lamp light found for her. Twin furrows ran through the dust, heel-width, parallel, drawn from the far end of the platform back to the body. Along the line, little pale moons of dried wax sat every few feet. "He crawled," Mercer offered from behind her. She walked back, knelt at the dead man's hands, and lifted each one. The palms were clean. The nails were clean. "You don't crawl on your face, Mercer. Dead weight, dragged under the armpits, two draggers." She pointed down the line of wax drops. "And they did it by candlelight. When did you last work a scene lit by candles?" The evidence tray sat by the photographer's kit. She pulled on fresh gloves and went through the inventory. No wallet, no phone, no keys. A folded handkerchief, and inside it a disc of bone the size of an old gaming token, carved through with a closed spiral, its edges rubbed to a gloss by a thumb. Beside the tray, in its own bag, lay a small brass compass. Verdigris furred the casing. Fine marks were etched across its face — script that wasn't script, no alphabet she recognised. The label read: recovered from subject's right hand, fingers required manual release. "Antique," Mercer said. "Worth a few quid." "Your robbers took his phone and his wallet and left a brass compass." She held the bag to the light. "And he wasn't carrying this in a pocket. It was in his fist. Cadaveric spasm — he gripped it as he died, and they had to peel his fingers off it one at a time." She unsealed the bag, tipped the compass into her palm, and levelled it at chest height. The needle stood a quarter-turn off north and held, steady, toward the far end of the platform. She turned in a slow circle. The needle kept its bearing. She walked an arc along the platform edge — twenty feet, forty, sixty — and the needle tracked, trembled, and settled again, aimed the whole time at the same spot. She came back to the body. North, still. "You're standing over live infrastructure," Mercer said. "Northern Line's fifty metres through that wall. Induction, stray current — needles go stupid down here." "A field swings a needle. It doesn't aim one." She turned the worn leather strap a quarter-inch on her wrist, an old habit, and started walking. "This one's pointing the way a finger points." The drag line ran to the end of the platform, where a service arch had been bricked shut. Old brick, older mortar, a sill furred with decades of undisturbed dust. Except along the right-hand edge, where a hairline seam ran through the brickwork, and at the base, where the grey felt had been swept and resettled in a fan. Quinn crouched and held her palm to the seam. Warm air breathed out against her skin, steady, carrying candle smoke and something resinous, churchy, and beneath it the ghost of struck matches. The last time a scene had told her a story this tidy, it had cost her a partner, and the file still sat on her desk with three years of unanswered questions in it. "There's a gap behind there somewhere," Mercer said. "Explorers know this system better than the engineers do. They came through, dropped him, and scarpered." "The furrows start at this arch, Mercer. Not at your open door up the southbound. Not at the ladder. Somebody dragged him out of this wall." She stood. "The brick's been closed since the war. There's no door in it. And warm air is coming through the seam, and there's wax on the platform behind me, and incense in his coat — put your nose to his collar, the wool's been soaking it up for months. Your fencing crew didn't bring him into the tunnels. They put him out." She held up the compass. The needle's tip rested on the arch as if pinned there. "Here's your crime scene." She paced back toward the body, laying it out as she went. "He came here often. The bone disc is worn glossy — carried daily, like an Oyster card. No keys, no phone — you don't bring keys to a place like this. He was a regular, with a token in his pocket and a compass in his fist, and he died on his feet somewhere beyond that brick — nobody grips a compass in a death grip unless they're using it. Then he lay where he fell for hours while they argued about what to do with him. When they decided, they dragged him out by candlelight, laid him flat and neat like a drunk outside a pub, emptied his pockets so he'd stay nameless, and shut the door behind them." Mercer looked from her to the arch and back. "Bricked since the war, Ma'am. There's nothing back there but clay." "Then the clay's been burning candles and wearing a thumbprint into bone." She sealed the compass back into its bag and pressed it flat against her palm. "You wanted a body dump with a tidy bow on it. It's not a dump site, Mercer. It's a doorstep." He uncapped his pen over the scene log. "So what do I put in it?" "Put down that he died somewhere with candle smoke and a door in it — and that somebody carried him out and left him on the step."
created_at"2026-09-02T10:51:09.137Z" 9/2/2026, 10:51:09 AM
model"z-ai/glm-5.3-20260816"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2689
moderation_latency(null)
generation_time389065
tokens_prompt1112
tokens_completion13486
native_tokens_prompt1027
native_tokens_completion12259
native_tokens_completion_images(null)
native_tokens_reasoning10486
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)
usage0.05508556
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788346269-s0DZM3yv3ADDKES6A7ff"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788346269-H54FHD6rCN0aWFjexaZZ"
upstream_id"20260902185109925fdf72940147eb"
provider_responses
0
endpoint_id"db975786-e7f6-4838-9e56-3e0b77f1bdc2"
id"20260902185109925fdf72940147eb"
is_byokfalse
latency2688
model_permaslug"z-ai/glm-5.3-20260816"
provider_name"Z.AI"
status200
total_cost0.05508556
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
totalTags13
adverbTagCount1
adverbTags
0"She paced back [back]"
dialogueSentences31
tagDensity0.419
leniency0.839
rawRatio0.077
effectiveRatio0.065
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1373
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)
89.08% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1373
totalAiIsms3
found
0
word"weight"
count1
1
word"etched"
count1
2
word"trembled"
count1
highlights
0"weight"
1"etched"
2"trembled"
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
narrationSentences64
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences64
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences82
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen117
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1386
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
91.71% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions17
wordCount772
uniqueNames5
maxNameDensity1.17
worstName"Mercer"
maxWindowNameDensity2
worstWindowName"Mercer"
discoveredNames
Harlow1
Quinn4
Alderman1
Street2
Mercer9
persons
0"Harlow"
1"Quinn"
2"Mercer"
places
0"Alderman"
1"Street"
globalScore0.917
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences43
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1386
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences82
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs32
mean43.31
std32.03
cv0.739
sampleLengths
076
137
216
382
439
554
610
743
82
987
1010
1115
1248
137
1421
1539
16100
177
1855
1982
2023
2134
2259
2366
2424
2589
2616
27136
2820
2947
3015
3127
88.82% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences64
matches
0"were etched"
1"been bricked"
2"been swept"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs119
matches(empty)
3.48% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences4
totalSentences82
ratio0.049
matches
0"Street cold gave way halfway to something older — wet stone, iron oxide, dust that had been settling since before she was born."
1"Purple, fixed, mapped onto his left side, his left arm, the left of his face — on a man lying flat on his back."
2"Fine marks were etched across its face — script that wasn't script, no alphabet she recognised."
3"She walked an arc along the platform edge — twenty feet, forty, sixty — and the needle tracked, trembled, and settled again, aimed the whole time at the same spot."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount771
adjectiveStacks0
stackExamples(empty)
adverbCount14
adverbRatio0.018158236057068743
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences82
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences82
mean16.9
std16.17
cv0.957
sampleLengths
029
123
224
311
411
515
616
735
847
94
1035
112
128
1331
1413
154
162
172
182
199
2034
212
2213
2321
2424
2529
262
278
2815
2915
3020
3113
327
3313
344
354
3623
3716
388
3910
406
4132
4212
434
4416
4512
463
474
4820
4935
84.55% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.5365853658536586
totalSentences82
uniqueOpeners44
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences54
matches(empty)
ratio0
71.85% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount20
totalSentences54
matches
0"Her boots met the platform"
1"He thumbed the pages"
2"Her own boots had gone"
3"She lifted the dead man's"
4"she told Mercer"
5"She set the foot down"
6"She turned back the collar"
7"She walked back, knelt at"
8"She pointed down the line"
9"She pulled on fresh gloves"
10"She held the bag to"
11"She unsealed the bag, tipped"
12"She turned in a slow"
13"She walked an arc along"
14"She came back to the"
15"She turned the worn leather"
16"She held up the compass."
17"She paced back toward the"
18"She sealed the compass back"
19"He uncapped his pen over"
ratio0.37
43.33% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount45
totalSentences54
matches
0"The ladder cage ran forty"
1"Street cold gave way halfway"
2"Her boots met the platform"
3"Halogen lamps burned on tripods"
4"A photographer's flash popped, froze"
5"DS Mercer stood at the"
6"He thumbed the pages"
7"Quinn circled the body."
8"The man lay on his"
9"Her own boots had gone"
10"She lifted the dead man's"
11"The sole was clean."
12"she told Mercer"
13"She set the foot down"
14"She turned back the collar"
15"Quinn rose and walked the"
16"Twin furrows ran through the"
17"Mercer offered from behind her"
18"She walked back, knelt at"
19"The palms were clean."
ratio0.833
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences54
matches(empty)
ratio0
95.24% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences30
technicalSentenceCount2
matches
0"Street cold gave way halfway to something older — wet stone, iron oxide, dust that had been settling since before she was born."
1"Fine marks were etched across its face — script that wasn't script, no alphabet she recognised."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags13
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount0
fancyTags(empty)
dialogueSentences31
tagDensity0.129
leniency0.258
rawRatio0
effectiveRatio0
85.6020%