Run: 2026-09-02-01M1H5D72QXRDN08GKDEFXKEEG

Run Details

Duration:
1m 25s
Cost:
$0.000565
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
Rain came down in sheets over Camden, and the smell of the canal mixed with something worse as Detective Harlow Quinn ducked under the police tape strung across the service entrance of the disused Tube station. Her boots found puddles that tasted of rust and diesel. "Down the spiral, Guv. Mind the second landing — the light's gone." She recognised the voice before the face. Constable Okafor, young enough to still be enthusiastic, stood at the top of the stairs holding a torch like it might bite him. "What's a twenty-year-old station with no service record doing open?" "That's the thing. Council says it was bricked up in 1998. Somebody's been using it anyway." The staircase curled down into blackness. Quinn's torch swept across a wall of soot-stained tiles, and she stopped at the second landing where the brick seal had been punched through. The hole was clean — edges dusted with fresh mortar dust, not scattered. Whoever broke in had done it slowly, patiently, or had come and gone so often the edges wore smooth. "Who found the body?" "Track workers, if you can call them that. Kids playing urban exploration. They ran up the stairs and called 999, wouldn't come back down." Below her, the platform stretched out under a string of work lights. A forensics tent glowed like a paper lantern at the far end, and near it stood Dr. Achebe, hood pulled tight against the damp, notebook balanced on one palm. "Quinn. You took your time." "I don't jog for anyone. What have we got?" "Male, mid-forties. No wallet, no phone, no identification. Whatever else you're about to ask, no, we don't know how he got down here." Quinn crouched at the mouth of the tent and looked. The man lay on his back on the platform's concrete, arms spread, mouth open. His clothes were expensive and ruined — a wool overcoat, a good shirt. His shoes were polished leather, and that was the first thing that snagged her. "His shoes are clean." Achebe's pen paused. "It's been raining for two days straight." "I know what the weather's been doing. Camden High Street is a swamp. His trousers should be splashed to the knee at minimum, coat hem filthy, and instead he looks like he walked out of a photograph. No mud on his soles at all?" "None." "So either he was carried — and there's no drag marks, no scuffing under the body, no smearing of that oil on the floor — or he walked here through a rainstorm without touching a puddle. Which is impossible." A figure in a suit picked its way around the platform's edge — DS Reyes, still fastening her hood, clipboard under her arm. She'd been first on scene; Quinn could tell from the proprietary way she stood between the body and the rest of the platform. "Guv. Good, you're here, because forensics are telling me a load of nonsense." "What kind of nonsense?" "Time of death, for one." Reyes flicked her pen toward the tent. "Achebe says twelve hours, maybe more. But look at the floor." Quinn looked. The platform's surface was a map of dried fluid trails — engine oil, water stains, years of grime — all threaded through with the fresh hoof-print smears of forensics' overshoes. Around the body, a perfect circle of untouched concrete. "No blood," Reyes said. "Not a drop. Gut wound like that, we should be standing in a lake of it. And no sign of a struggle. So my theory, somebody dumped the body here post-mortem." "Except he wasn't dumped." Quinn rose and circled wide, keeping to the edges. "No carry marks. And the ligature around his wrists — look at the pattern. Both wrists scored through to the tissue, but the fibers are soaked and swollen. Rope sat in blood or water for hours. If he was killed elsewhere and moved, the bindings would've been cut and removed. Nobody keeps a dead man tied up for a day and then unties his wrists to leave the marks." "Maybe the killer untied him to make the body easier to carry." "Then the marks would be post-mortem, dry, skin-coloured. These are purple. He was alive when he was bound, here, on this platform." Reyes chewed the inside of her cheek. "And the shoes, Guv?" "That's what I want to know." She stepped to the platform's edge and crouched at the lip where the track dropped into the tunnel. A pale line ran along the far wall — a chalk mark, or something like it, scratched into the tile. She swung her torch up. Symbols. Rows of them, small and deliberate, faded by decades but fresher where someone had traced over them recently. The grooves were clean-edged. Days old. Maybe less. "Guv, probably just vandals." "Vandals who write in a dead script, twenty metres underground, behind a brick wall that took a jackhammer to open?" She photographed them with her phone, zoomed in. The symbols circled a larger mark, one she almost recognised — a spiral with a line through it. "Bag this section. Cut the tiles out if you have to." "That'll raise eyebrows." "Good. Let them raise." Behind her, gravel crunched. Okafor's voice, strained: "Guv, there's a woman up top. Says she knows you. Says you'll want to talk to her. She's... she's got a bag full of books and she won't put it down for the scene-of-crime officer." "Red hair? Glasses?" "That's her." "Eva Kowalski. Let her wait topside." Quinn straightened. Why was a museum researcher sniffing around a crime scene in an abandoned Tube station within an hour of the call? She filed it away and turned back to the body, and this time she went low, torch flat to the ground, beam skimming the surface the way she'd been taught to skim wood for plane marks. The light caught them. Footprints. Not the forensics' patterned overshoes, not her own tread. Small, shallow impressions in the oily grime, leading from the tunnel mouth on the north side to the body and back again — and then nothing. They simply stopped three metres from the body, as though the walker had evaporated. Between the last print and the corpse: bare concrete, pristine. "Reyes. Look at this and tell me what you see." Reyes crouched beside her, hood falling back. Her jaw worked for a moment. "Somebody's prints, then nothing. Gloss floor past that point, maybe. Oil residue could've been wiped—" "There's a centimetre of dust on that concrete. Nobody's wiped anything. Walk the prints with me." They followed the shallow impressions north, along the platform, into the tunnel mouth. Forty metres in, the prints stopped again at a service alcove. Inside: a sleeping bag, rolled and unused. A plastic crate of tinned food. And on the crate's lid, laid out square, a brass object the size of a pocket watch, green-crusted with age, its glass face etched with fine script around the rim. Its needle was spinning. Fast, jittering, aimed nowhere — then it stopped dead and swung, pointing back down the tunnel the way they'd come, straight toward the platform and the body. "Someone lives down here." Reyes kept her voice low. "Somebody lived down here. These provisions are untouched — dust on the tins, cobweb through the handles. Weeks, at least." Quinn didn't reach for the compass. Eighteen years of instinct told her not to touch it with bare skin; she photographed it instead and called for an evidence bag, though part of her wondered whether evidence bags worked on whatever that thing was tracking. "Time of death doesn't fit either," Reyes said slowly. "Achebe says twelve hours. But the prints, Guv — whoever made them walked down here before or during the rain, and it rained hard all last night. And the shoes. And no blood." "Then the victim came down here wet and the prints under him dried before he died." Quinn looked back down the tunnel, at the lights of the platform glowing in the distance, at the body lying in its circle of clean concrete like a figure dropped out of a photograph into another world. "Twelve hours ago a man with dry shoes walked through a rainstorm into a sealed station nobody knew existed, bled out from a gut wound without leaving a drop, and nobody came or went along the only stairway." She checked her watch — 4:12 in the afternoon, a full four hours after the call, and a thought landed cold in her chest: the moon would rise tonight, and something in her gut said this station wasn't going to be here when it did.
created_at"2026-09-02T13:37:18.432Z" 9/2/2026, 1:37:18 PM
model"z-ai/glm-5.3-flash-20260826"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1106
moderation_latency(null)
generation_time84864
tokens_prompt1112
tokens_completion2166
native_tokens_prompt1027
native_tokens_completion1952
native_tokens_completion_images(null)
native_tokens_reasoning57
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)
usage0.000565025
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788356238-3fbK8DaaHGma9woCkcoF"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788356238-e2Gmdl9zMz7XF8q6fnij"
upstream_id"20260902213718eee7a4a797c64eb6"
provider_responses
0
endpoint_id"8e9fe48b-2f91-41c3-a8a7-e4a93a8c4ff0"
id"20260902213718eee7a4a797c64eb6"
is_byokfalse
latency1106
model_permaslug"z-ai/glm-5.3-flash-20260826"
provider_name"Z.AI"
status200
total_cost0.000565025
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
totalTags11
adverbTagCount1
adverbTags
0"Reyes said slowly [slowly]"
dialogueSentences43
tagDensity0.256
leniency0.512
rawRatio0.091
effectiveRatio0.047
92.99% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1427
totalAiIsmAdverbs2
found
0
adverb"slowly"
count2
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)
82.48% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1427
totalAiIsms5
found
0
word"flicked"
count1
1
word"perfect"
count1
2
word"traced"
count1
3
word"pristine"
count1
4
word"etched"
count1
highlights
0"flicked"
1"perfect"
2"traced"
3"pristine"
4"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
narrationSentences61
matches(empty)
96.02% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences61
filterMatches
0"watch"
1"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
maxSentenceWordsSeen68
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1443
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions15
unquotedAttributions0
matches(empty)
94.24% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions26
wordCount807
uniqueNames10
maxNameDensity1.12
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Camden1
Detective1
Harlow1
Quinn9
Tube2
Okafor2
Dr1
Reyes7
Small1
Eighteen1
persons
0"Harlow"
1"Quinn"
2"Okafor"
3"Dr"
4"Reyes"
places(empty)
globalScore0.942
windowScore1
93.18% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences44
glossingSentenceCount1
matches
0"something like it, scratched into the tile"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1443
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
totalParagraphs51
mean28.29
std22.39
cv0.791
sampleLengths
046
112
230
310
416
562
64
724
841
95
109
1123
1251
134
1410
1544
161
1739
1846
1913
204
2123
2241
2335
2482
2512
2622
2711
286
2970
304
3157
323
334
3442
353
362
3765
3864
3910
4013
4115
4216
4367
4431
459
4664
4742
4853
4938
93.76% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences61
matches
0"been punched"
1"been taught"
87.96% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs119
matches
0"was spinning"
1"was tracking"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount10
semicolonCount2
flaggedSentences11
totalSentences94
ratio0.117
matches
0"The hole was clean — edges dusted with fresh mortar dust, not scattered."
1"His clothes were expensive and ruined — a wool overcoat, a good shirt."
2"A figure in a suit picked its way around the platform's edge — DS Reyes, still fastening her hood, clipboard under her arm."
3"She'd been first on scene; Quinn could tell from the proprietary way she stood between the body and the rest of the platform."
4"The platform's surface was a map of dried fluid trails — engine oil, water stains, years of grime — all threaded through with the fresh hoof-print smears of forensics' overshoes."
5"A pale line ran along the far wall — a chalk mark, or something like it, scratched into the tile."
6"The symbols circled a larger mark, one she almost recognised — a spiral with a line through it."
7"Small, shallow impressions in the oily grime, leading from the tunnel mouth on the north side to the body and back again — and then nothing."
8"Fast, jittering, aimed nowhere — then it stopped dead and swung, pointing back down the tunnel the way they'd come, straight toward the platform and the body."
9"Eighteen years of instinct told her not to touch it with bare skin; she photographed it instead and called for an evidence bag, though part of her wondered whether evidence bags worked on whatever that thing was tracking."
10"She checked her watch — 4:12 in the afternoon, a full four hours after the call, and a thought landed cold in her chest: the moon would rise tonight, and something in her gut said this station wasn't going to be here when it did."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount659
adjectiveStacks0
stackExamples(empty)
adverbCount19
adverbRatio0.028831562974203338
lyAdverbCount4
lyAdverbRatio0.006069802731411229
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
mean15.35
std12.9
cv0.84
sampleLengths
036
110
212
37
423
510
616
76
824
913
1019
114
1224
1312
1417
1512
165
179
1823
1910
2014
2113
2214
234
243
257
2644
271
2839
2923
3023
3113
324
3312
3411
352
3630
379
384
3931
4013
4169
4212
4322
447
454
466
4718
4820
495
94.33% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.5851063829787234
totalSentences94
uniqueOpeners55
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences53
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount14
totalSentences53
matches
0"Her boots found puddles that"
1"She recognised the voice before"
2"His clothes were expensive and"
3"His shoes were polished leather,"
4"She'd been first on scene;"
5"She stepped to the platform's"
6"She swung her torch up."
7"She photographed them with her"
8"She filed it away and"
9"They simply stopped three metres"
10"Her jaw worked for a"
11"They followed the shallow impressions"
12"Its needle was spinning."
13"She checked her watch —"
ratio0.264
73.21% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount41
totalSentences53
matches
0"Rain came down in sheets"
1"Her boots found puddles that"
2"She recognised the voice before"
3"Constable Okafor, young enough to"
4"The staircase curled down into"
5"Quinn's torch swept across a"
6"The hole was clean —"
7"A forensics tent glowed like"
8"Achebe, hood pulled tight against"
9"Quinn crouched at the mouth"
10"The man lay on his"
11"His clothes were expensive and"
12"His shoes were polished leather,"
13"Achebe's pen paused."
14"A figure in a suit"
15"She'd been first on scene;"
16"Reyes flicked her pen toward"
17"The platform's surface was a"
18"Quinn rose and circled wide,"
19"Reyes chewed the inside of"
ratio0.774
94.34% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences53
matches
0"Whoever broke in had done"
ratio0.019
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences30
technicalSentenceCount1
matches
0"Her boots found puddles that tasted of rust and diesel."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags11
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences43
tagDensity0.047
leniency0.093
rawRatio0
effectiveRatio0
90.0833%