Run: 2026-04-24-01KQ0AGRTF57KYD03QYMPNC8WH

Run Details

Duration:
15.4s
Cost:
$0.001045
Provider:
SiliconFlow

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 abandoned Underground station smelled of damp stone and decay. Detective Harlow Quinn surveyed the scene with military precision, her sharp jaw set as she took in the details. Three bodies lay sprawled across the platform, their positions unnatural, limbs bent at impossible angles. "Morning, Quinn," said DS Miller, already crouched over the first victim. His voice too casual for the circumstances. "We got a call about a disturbance. Found these three inside." Quinn knelt beside the body, ignoring the fraying hem of her coat brushing against the grimy platform. "No signs of forced entry. No weapons found." She gestured to the station entrance. "The gates were unlocked from the inside." Miller shrugged. "Maybe they knew each other. Had a falling out." Quinn's gaze swept across the scene again. "Victim one," she said, pointing to the man closest to them, "appears to have been running from something. Look at the scrapes on his hands." She indicated the torn skin on his palms. "Victim two was cowering in that corner." She nodded toward a woman huddled near the benches. "And victim three..." She stood and walked to the third body, near the edge of the platform. "This one was trying to climb up the wall." Miller followed her, brow furrowed. "You think they were trying to escape?" "Or escape something," Quinn corrected. She crouched again, examining the dead man's shoes. "No dust on the soles. They weren't running from the entrance." Her eyes traveled to the tunnel leading deeper into the station. "They came from down there." Miller shook his head. "The tunnel's been sealed off for years, Quinn. Maintenance issues. We got the reports." "Then what's this?" Quinn pointed to a strange metallic device half-buried in the debris near the third victim. It resembled a compass but with sigils etched into its face. The brass casing had a greenish patina. Miller leaned in closer. "Looks like some kind of antique." "Or something else," Quinn murmured, pulling on a glove before carefully lifting the compass. The needle wasn't pointing north. It was spinning wildly, then suddenly stopped, pointing directly at the sealed tunnel entrance. "Quinn, forensics is here," Miller called, already moving toward the new arrivals. Quinn pocketed the compass and joined him, her mind racing. The victims' positions told a story of terror, not violence between themselves. And this compass... it didn't belong in an abandoned Tube station. It belonged somewhere else. Somewhere like The Veil Market. She pulled out her phone, scrolling through her notes about the underground market that moved locations every full moon. Entry required a bone token. The victims didn't have any visible marks suggesting they'd been carrying such tokens. "Detective," one of the forensics techs called out. "We've got something unusual." Quinn walked over to where he was examining Victim two, the woman in the corner. "Unusual how?" The tech pointed to the woman's neck. "No ligature marks. No signs of strangulation. But her throat appears to have been crushed from the inside out." Quinn's eyes narrowed. "From the inside?" "That's what it looks like. Like something exploded out of her throat. But there's no residue. No blood spray pattern that matches." Miller approached, his expression skeptical. "Maybe an animal attack? A badger or something?" "Badgers don't climb walls, Miller," Quinn said, gesturing toward the third victim's position. "And they don't make people's throats implode." She walked back to the sealed tunnel entrance, running her gloved hand along the brickwork. Something didn't add up. The victims weren't just killed; they were fleeing from something, something that had followed them here. And this compass... it was pointing right at the sealed tunnel. "Quinn, you need to see this," Miller called from near the woman's body. Quinn sighed but headed back. "What now?" "The woman," Miller said, pointing to the victim's satchel, which had been overlooked. "It's full of books. Ancient history texts. Occult stuff." Quinn knelt and opened the satchel, revealing several leather-bound volumes covered in unfamiliar symbols. One book fell open to a page detailing The Veil Market, its entry requirements, and the dangers of supernatural rifts. "Research?" Miller asked, his tone dismissive. "Maybe she was into that weird stuff." Quinn closed the book slowly. "Or maybe she knew what was coming and tried to warn them." She stood, her gaze once again drawn to the sealed tunnel. "We need to get that entrance opened." Miller's jaw tightened. "Quinn, that's not protocol. The structure's unstable." "Protocol doesn't explain this," she said, tapping her temple. "Something came through that tunnel. Something killed these people. And I'm going to find out what it was."
created_at"2026-04-24T18:02:34.21Z" 4/24/2026, 6:02:34 PM
model"z-ai/glm-4.5-air"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1309
moderation_latency(null)
generation_time15123
tokens_prompt1149
tokens_completion1247
native_tokens_prompt1025
native_tokens_completion1048
native_tokens_completion_images(null)
native_tokens_reasoning0
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"
usage0.00104478
router(null)
provider_responses
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endpoint_id"f7dc79ca-bbbd-41a1-8eef-616d981ff1cb"
id"019dc0a8670cf989b27f24a440188905"
is_byokfalse
latency1305
model_permaslug"z-ai/glm-4.5-air"
provider_name"SiliconFlow"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777053754-KWQ7QqHF8yLInCmoHLQh"
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api_type"completions"
id"gen-1777053754-IfZeMHyc3go7YVnhDttq"
upstream_id"019dc0a8670cf989b27f24a440188905"
total_cost0.00104478
cache_discount(null)
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provider_name"SiliconFlow"
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags17
adverbTagCount0
adverbTags(empty)
dialogueSentences38
tagDensity0.447
leniency0.895
rawRatio0
effectiveRatio0
80.44% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount767
totalAiIsmAdverbs3
found
0
adverb"carefully"
count1
1
adverb"suddenly"
count1
2
adverb"slowly"
count1
highlights
0"carefully"
1"suddenly"
2"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)
73.92% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount767
totalAiIsms4
found
0
word"furrowed"
count1
1
word"etched"
count1
2
word"racing"
count1
3
word"structure"
count1
highlights
0"furrowed"
1"etched"
2"racing"
3"structure"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes narrowed"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences55
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences55
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences76
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen33
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords767
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions13
unquotedAttributions0
matches(empty)
15.15% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions32
wordCount482
uniqueNames8
maxNameDensity2.7
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Underground1
Harlow1
Quinn13
Miller11
Tube1
Veil2
Market2
Victim1
persons
0"Harlow"
1"Quinn"
2"Miller"
places
0"Victim"
globalScore0.151
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences35
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount767
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences76
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs30
mean25.57
std16
cv0.626
sampleLengths
044
129
238
311
482
512
640
718
836
910
1033
1112
1242
1337
1412
1517
1626
176
1822
1913
2020
2146
2213
237
2422
2534
2613
2735
2810
2927
98.88% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences55
matches
0"been overlooked"
0.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount5
totalVerbs92
matches
0"wasn't pointing"
1"was spinning"
2"was examining"
3"were fleeing"
4"was pointing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences76
ratio0.013
matches
0"The victims weren't just killed; they were fleeing from something, something that had followed them here."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount357
adjectiveStacks0
stackExamples(empty)
adverbCount12
adverbRatio0.03361344537815126
lyAdverbCount4
lyAdverbRatio0.011204481792717087
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences76
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences76
mean10.09
std6.09
cv0.603
sampleLengths
010
119
215
311
47
511
617
714
87
92
109
117
1233
1316
1417
159
165
177
185
198
2022
215
224
2314
2418
2511
267
274
286
2914
305
3114
3212
3310
3412
353
368
374
385
3919
405
4113
428
434
4415
452
467
4719
483
493
62.72% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.40789473684210525
totalSentences76
uniqueOpeners31
64.10% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences52
matches
0"Somewhere like The Veil Market."
ratio0.019
96.92% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount16
totalSentences52
matches
0"His voice too casual for"
1"She gestured to the station"
2"she said, pointing to the"
3"She nodded toward a woman"
4"She stood and walked to"
5"She crouched again, examining the"
6"Her eyes traveled to the"
7"It resembled a compass but"
8"It was spinning wildly, then"
9"it didn't belong in an"
10"It belonged somewhere else."
11"She pulled out her phone,"
12"She walked back to the"
13"it was pointing right at"
14"She stood, her gaze once"
15"she said, tapping her temple"
ratio0.308
27.31% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount45
totalSentences52
matches
0"The abandoned Underground station smelled"
1"Detective Harlow Quinn surveyed the"
2"His voice too casual for"
3"Quinn knelt beside the body,"
4"She gestured to the station"
5"Quinn's gaze swept across the"
6"she said, pointing to the"
7"She nodded toward a woman"
8"She stood and walked to"
9"Miller followed her, brow furrowed."
10"She crouched again, examining the"
11"Her eyes traveled to the"
12"Miller shook his head."
13"Quinn pointed to a strange"
14"It resembled a compass but"
15"The brass casing had a"
16"Miller leaned in closer."
17"Quinn murmured, pulling on a"
18"The needle wasn't pointing north."
19"It was spinning wildly, then"
ratio0.865
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences52
matches(empty)
ratio0
40.82% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences14
technicalSentenceCount2
matches
0"Quinn knelt beside the body, ignoring the fraying hem of her coat brushing against the grimy platform."
1"She pulled out her phone, scrolling through her notes about the underground market that moved locations every full moon."
66.18% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags17
uselessAdditionCount2
matches
0"Miller asked, his tone dismissive"
1"She stood, her gaze once again drawn to the sealed tunnel"
97.37% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags10
fancyCount2
fancyTags
0"Quinn corrected (correct)"
1"Quinn murmured (murmur)"
dialogueSentences38
tagDensity0.263
leniency0.526
rawRatio0.2
effectiveRatio0.105
80.7937%