Run: 2026-07-25-01KYD6W6BW183SQRSGVX5YW64N

Run Details

Duration:
1m 3s
Cost:
$0.023674
Provider:
Moonshot 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 old Camden passage smelled of copper and wet ash. Detective Harlow Quinn ducked under the cordon tape, torch in hand, and counted nineteen steps before the tunnel opened into the abandoned station. The tiles on the walls were Victorian green, cracked in long veins, and someone had chalked symbols between them that her torch beam kept snagging on. "You're late." DS Aaron Bexley stood over the body with his hands in his pockets, the way he did when he'd already written the report in his head. "Forty minutes. I've been breathing this muck since six." "Traffic." Quinn crouched. The body lay on its back between the platform edge and the first arch, a man in his fifties wearing an expensive coat and no shoes. His eyes were open. His mouth was open. Everything about him was open, as if he'd died mid-word. "Name?" "Gerald Fenn. Solicitor, Chancery Lane. Wallet intact, watch intact, wedding band intact." Bexley flipped his notebook shut. "Robbery's out. Junkies use this place. I'm calling it a wrong turn and a bad heart. Bloke gets lost, has a coronary, rats take the shoes for reasons beyond me." Quinn swept her torch along the floor. Dust lay thick everywhere except a clean circle, maybe two metres wide, with the body at its centre. Around the circle the dust had been disturbed — not scuffed, not walked on. Combed. Radial lines, all pointing outward, like iron filings around a magnet. "Rats did that too, I suppose." "Rats are mysterious creatures, Harlow." She looked up at him. He smiled the way he always smiled at her, patient and slightly tired, the smile of a man who'd stopped reading her case notes three years ago. She let it go. She'd learned to let it go. "The shoes." She stood and walked the circle's edge. "You said rats. Where are they? Rats don't carry off leather brogues. And look at his ankles." Bexley sighed and came over. Fenn's ankles were pale, unmarked, clean. Cleaner than his hands. Cleaner than his face. "Socks gone too. Soles look washed." Quinn turned the torch sideways, letting the light rake across the floor. "He didn't walk here barefoot. No tracks. No smudges. Somebody carried him in and set him down inside this circle, and that somebody left no footprints of their own." "So they cleaned up. Junkies tidying a crime scene. Fine, not junkies — a cult. You love a cult. Write it up however you want, but the coroner will say cardiac and you know it." "His fingernails, Bexley." The younger man leaned in despite himself. Under each nail, packed deep, sat a dark grit that glittered faintly when the torch caught it. "Soil?" "Glass." Quinn straightened. "Ground glass, under every nail. He clawed at something hard. And there's no glass down here. I've looked. The place has been stripped for decades." Bexley's jaw tightened. "You're building a cathedral out of matchsticks." "I'm describing what's in front of me." She moved to the body again and lifted the left lapel of the coat with her gloved hand. Something had been pinned inside — the pin was still there, bent, whatever it held torn away. A few fibres clung to it. Grey, coarse, waxy. Not fabric. Almost hair. "SOCO will get that." "SOCO got here an hour ago and left." She'd seen the van pulling away as she'd arrived, and she'd thought nothing of it then. Now she thought a great deal of it. "Who signed off on that?" "I did. There's nothing here, Harlow. There was nothing here." She looked at him for a long moment. Nineteen steps down. One torch. Two police officers and a dead solicitor with glass under his nails and a two-metre circle of combed dust around his body, and Bexley had dismissed the scene team before she'd even arrived. "You're usually the one telling me to slow down," she said. "And you're usually the one seeing phantoms. We're a matched pair." He checked his phone. "Morris would have called this in by now." The name landed the way it always landed, like a stone dropped into still water. Quinn kept her eyes on the body and let the ripples settle. Three years. Morris had died on a case that had never closed, in a warehouse that had officially never existed, and Bexley knew exactly which nerve he'd just pressed. "Morris would have looked at the ceiling," Quinn said. She raised her torch. The arched ceiling was black with old soot — except directly above the body, where a patch the size of a dinner plate had been burned clean, white brick showing through, and the white brick had hairline cracks running through it in a pattern. Not random. Concentric. Rings within rings. "Heat did that," she said. "From below. Intense, focused, brief. Burns soot off brick and cracks the glaze but doesn't scorch the body lying directly underneath it?" "Electrical fault. Old wiring in the walls." "The station's been dead since the sixties. There is no wiring." She lowered the torch and looked at Bexley. His face had gone flat, and behind the flatness something moved that she recognised from interview rooms. Not guilt. Impatience. The expression of a man waiting for a nuisance to pass. "You knew him," Quinn said. "Fenn. Didn't you?" "Solicitor, Chancery Lane. I read the same wallet you did." "You said his name before you checked the wallet. When I came down the stairs. 'Gerald Fenn, solicitor, Chancery Lane.' You'd already been through his pockets, found his business card, fair enough." She took one step closer. "But you also said the rats took his shoes, and you'd decided cardiac before the coroner, and you sent SOCO away, and you want me out of this tunnel." Bexley said nothing. Down in the dark of the connecting passage, something shifted — a soft, deliberate sound, like a drawer closing. Quinn turned her torch toward it. The beam found only black tiles and, on the floor at the passage mouth, a small brass object the size of a pocket watch, green with verdigris. She hadn't seen it when she'd walked in. She would have sworn to that. She crossed to it and crouched. A compass, face etched with symbols that matched the chalk marks on the walls. The needle wasn't pointing north. It was pointing down the passage, quivering, and as she watched, it swung — slow, steady — until it pointed directly at her. Or directly behind her. "Don't touch that," Bexley said. His voice had changed. The tired patience had drained out of it. Quinn picked it up. The brass was warm.
created_at"2026-07-25T17:58:54.594Z" 7/25/2026, 5:58:54 PM
model"moonshotai/kimi-k3-20260715"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3114
moderation_latency(null)
generation_time63144
tokens_prompt1112
tokens_completion1670
native_tokens_prompt1108
native_tokens_completion1541
native_tokens_completion_images(null)
native_tokens_reasoning42
native_tokens_cached1024
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)
usage0.0236742
router(null)
provider_responses
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endpoint_id"650c9b12-7b6d-444d-8d92-df8daef84d7a"
id"chatcmpl-6a64f94f2b42693ae03bdadb"
is_byokfalse
latency3113
model_permaslug"moonshotai/kimi-k3-20260715"
provider_name"Moonshot AI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1785002334-5v1JmhIxCesQnVxrw8kU"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1785002334-ZPa6xJqVXlItct1irF3e"
upstream_id"chatcmpl-6a64f94f2b42693ae03bdadb"
total_cost0.0236742
cache_discount0.0027648
upstream_inference_cost0
provider_name"Moonshot AI"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags16
adverbTagCount0
adverbTags(empty)
dialogueSentences37
tagDensity0.432
leniency0.865
rawRatio0
effectiveRatio0
95.47% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1104
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)
95.47% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1104
totalAiIsms1
found
0
word"etched"
count1
highlights
0"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
narrationSentences77
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences77
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences98
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen43
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1111
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions15
unquotedAttributions0
matches(empty)
81.22% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions23
wordCount727
uniqueNames6
maxNameDensity1.38
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Camden1
Harlow1
Quinn10
Victorian1
Aaron1
Bexley9
persons
0"Harlow"
1"Quinn"
2"Aaron"
3"Bexley"
places(empty)
globalScore0.812
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences40
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1111
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences98
matches
0"moved that she"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs40
mean27.78
std19.9
cv0.716
sampleLengths
063
137
247
31
447
551
66
75
842
926
1019
1147
1235
133
1424
151
1628
1710
1855
194
2037
2110
2246
2311
2423
2556
269
2754
2827
297
3050
318
3210
3366
3422
3547
3648
374
3817
398
91.59% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences77
matches
0"been disturbed "
1"been pinned"
2"been burned"
94.18% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs126
matches
0"wasn't pointing"
1"was pointing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences5
totalSentences98
ratio0.051
matches
0"Around the circle the dust had been disturbed — not scuffed, not walked on."
1"Something had been pinned inside — the pin was still there, bent, whatever it held torn away."
2"The arched ceiling was black with old soot — except directly above the body, where a patch the size of a dinner plate had been burned clean, white brick showing through, and the white brick had hairline cracks running through it in a pattern."
3"Down in the dark of the connecting passage, something shifted — a soft, deliberate sound, like a drawer closing."
4"It was pointing down the passage, quivering, and as she watched, it swung — slow, steady — until it pointed directly at her."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount723
adjectiveStacks0
stackExamples(empty)
adverbCount25
adverbRatio0.034578146611341634
lyAdverbCount8
lyAdverbRatio0.011065006915629323
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences98
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences98
mean11.34
std9.82
cv0.866
sampleLengths
014
123
226
328
49
53
626
74
84
910
101
1117
1230
137
1418
1514
161
1711
186
195
205
2127
224
236
249
2517
265
276
284
294
3018
3129
3235
333
347
3517
361
373
3825
393
407
4125
4217
436
443
452
462
474
4824
498
83.67% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.5510204081632653
totalSentences98
uniqueOpeners54
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences61
matches(empty)
ratio0
88.85% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount20
totalSentences61
matches
0"His eyes were open."
1"His mouth was open."
2"She looked up at him."
3"He smiled the way he"
4"She let it go."
5"She'd learned to let it"
6"She stood and walked the"
7"She moved to the body"
8"She'd seen the van pulling"
9"She looked at him for"
10"He checked his phone"
11"She raised her torch."
12"She lowered the torch and"
13"His face had gone flat,"
14"She took one step closer"
15"She hadn't seen it when"
16"She would have sworn to"
17"She crossed to it and"
18"It was pointing down the"
19"His voice had changed."
ratio0.328
50.16% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount50
totalSentences61
matches
0"The stairs down to the"
1"Detective Harlow Quinn ducked under"
2"The tiles on the walls"
3"DS Aaron Bexley stood over"
4"The body lay on its"
5"His eyes were open."
6"His mouth was open."
7"Everything about him was open,"
8"Bexley flipped his notebook shut"
9"Quinn swept her torch along"
10"Dust lay thick everywhere except"
11"She looked up at him."
12"He smiled the way he"
13"She let it go."
14"She'd learned to let it"
15"She stood and walked the"
16"Bexley sighed and came over."
17"Fenn's ankles were pale, unmarked,"
18"Cleaner than his hands."
19"Cleaner than his face."
ratio0.82
81.97% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences61
matches
0"Now she thought a great"
ratio0.016
77.92% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences22
technicalSentenceCount2
matches
0"Everything about him was open, as if he'd died mid-word."
1"Under each nail, packed deep, sat a dark grit that glittered faintly when the torch caught it."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags16
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount0
fancyTags(empty)
dialogueSentences37
tagDensity0.135
leniency0.27
rawRatio0
effectiveRatio0
88.0173%