Run: 2026-07-25-01KYD5W9TVCKYSJE4E18BPAVZ5

Run Details

Duration:
52.3s
Cost:
$0.020749
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 abandoned platform smelled of damp brick and something sharper — burnt sugar, maybe, or incense gone stale. Detective Harlow Quinn ducked under the police tape and let her eyes adjust to the work lights the forensics team had strung along the tunnel walls. Camden's forgotten Tube station, sealed since the war, and yet someone had died down here within the last six hours. "Quinn." Sergeant Bell raised a hand from beside the body. Young, eager, the kind of officer who wrote reports before he'd finished thinking. "Bit of a strange one." "They're all strange ones, Bell. That's why they call me." She crouched beside the corpse. Male, mid-fifties, well dressed — too well dressed for squatting in a derelict station. Wool coat, silk scarf, shoes polished to a mirror shine. No wallet, no phone, no identification. His hands lay folded across his chest as though someone had arranged him for a funeral. "Cause of death?" "That's the thing." Bell flipped open his notebook. "Doc's preliminary says heart stopped. No wound, no marks, no sign of struggle. He reckons natural causes, maybe an aneurysm. Gentleman had a cardiac event, wandered down here, died." Quinn looked up. "Wandered." "That's the working theory." "In polished Oxfords. Through a sealed access grate. Past a padlocked gate that, you'll note, shows no signs of forced entry." She stood, brushing grit from her knees. "Show me how he got in, Bell. Then I'll entertain the wandering theory." Bell's jaw worked. "The gate's padlocked from the inside. We had to cut it." Quinn paused. She walked the perimeter slowly, the way DS Morris had taught her — eyes down, then up, then sideways at the things nobody thought to look at. The platform had been swept recently. Not by council workers; the dust along the walls lay undisturbed in thick grey drifts, but the central walkway was clean, almost polished. Stalls had stood here once. She counted the rectangular patches of cleaner concrete — a dozen, maybe more, arranged in rows like a market. "There were tables here," she said. "Recently. Days ago, perhaps hours." "Homeless encampment," Bell offered. "We've had reports." "Homeless people don't leave ghost rectangles in the dust. They leave blankets, bottles, fires." She crouched again and ran a finger along the edge of one clean patch. "Something heavy stood here. And here." She moved down the row. "Someone ran a market in a dead station, Bell, and cleared it out before we arrived." "Who'd shop down here?" "That's the question, isn't it." She moved toward the body again and noticed what she'd missed the first time — the victim's left hand, the one folded underneath. She lifted it gently with a gloved hand. The fingers were clenched. "Get me the doc's tweezers." It took a minute of careful work to prise the dead fingers open. Inside the man's fist sat a small brass compass, green with verdigris, its face crowded with etched symbols that made Quinn's eyes water when she tried to focus on them. The needle didn't point north. It pointed, steady as a heartbeat, toward the far tunnel. "Hell is that?" Bell leaned in. "Evidence." She dropped it into a bag. The needle swung inside the plastic, still dragging toward the tunnel mouth. Quinn watched it. Felt the old cold weight settle behind her ribs — the same weight she'd carried since Morris died three years ago, on a case that had never made sense either. She stood. "Walk me through your theory again. He wanders in, dies of natural causes." "Yes." "Then why are his shoes clean?" Bell blinked. "What?" "Look at them." She pointed. "Mirror shine. Every step down here kicks up eighty years of soot and brick dust. I've been here twenty minutes and my boots are grey. His soles are spotless." She let that land. "He didn't walk here, Sergeant. He was carried. Placed. Arranged." "That's—" Bell laughed, a short, uncertain sound. "Carried? By whom? There's no other entrance. We've checked." "Then he died elsewhere and someone brought him through a route we haven't found." She turned toward the tunnel the compass had pointed at. Darkness down there, absolute. "Or he walked a path that doesn't get its shoes dirty. Either way, your natural-causes theory is dead. This is a staged scene." "You can't know that." "I can know the shoes." She softened her voice, the way she did when she needed a witness to keep talking. "Bell. What else did forensics find? Anything odd. Anything you didn't put in the notebook because it didn't fit." He hesitated. His eyes flicked toward the tunnel, then away. "There's a smell," he said finally. "Under the incense. Forensics bloke said it was nothing, old damp. But I've smelled it before. My gran's funeral. It's lilies. Fresh lilies, Quinn. There isn't a flower within half a mile of this hole." Quinn nodded slowly. The cold weight behind her ribs shifted, settled into something almost like recognition. Morris's case file, sealed and unexplained, had mentioned lilies too. She had read that file so many times the pages had gone soft at the corners. "Seal the tunnel," she said. "Full sweep, both directions. And Bell — nobody touches the compass. Nobody logs it except me." "What are you thinking?" Quinn looked down at the evidence bag in her hand. Through the plastic, the needle held its impossible bearing, tugging toward the dark as if the dark were north itself. "I'm thinking someone wanted this man found," she said. "And they wanted whoever found him to ask exactly the questions I'm asking. Which means we're not investigating a death." She tucked the bag into her coat and felt the weight of it settle beside her badge. "We're answering an invitation."
created_at"2026-07-25T17:41:29.57Z" 7/25/2026, 5:41:29 PM
model"moonshotai/kimi-k3-20260715"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3097
moderation_latency(null)
generation_time52265
tokens_prompt1112
tokens_completion1512
native_tokens_prompt1108
native_tokens_completion1346
native_tokens_completion_images(null)
native_tokens_reasoning54
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"
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usage0.0207492
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provider_responses
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endpoint_id"650c9b12-7b6d-444d-8d92-df8daef84d7a"
id"chatcmpl-6a64f5361c1a46f4c2a5b208"
is_byokfalse
latency3096
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-1785001289-lKt3HlRXkBBOZavCoyaN"
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api_type"completions"
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upstream_id"chatcmpl-6a64f5361c1a46f4c2a5b208"
total_cost0.0207492
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
totalTags18
adverbTagCount2
adverbTags
0"She crouched again [again]"
1"he said finally [finally]"
dialogueSentences45
tagDensity0.4
leniency0.8
rawRatio0.111
effectiveRatio0.089
84.29% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount955
totalAiIsmAdverbs3
found
0
adverb"slowly"
count2
1
adverb"gently"
count1
highlights
0"slowly"
1"gently"
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)
63.35% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount955
totalAiIsms7
found
0
word"silk"
count1
1
word"etched"
count1
2
word"weight"
count4
3
word"flicked"
count1
highlights
0"silk"
1"etched"
2"weight"
3"flicked"
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
narrationSentences56
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences56
filterMatches(empty)
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences83
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen37
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords962
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions11
unquotedAttributions0
matches(empty)
87.83% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions21
wordCount563
uniqueNames7
maxNameDensity1.24
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn7
Tube1
Bell7
Young1
Morris3
Darkness1
persons
0"Harlow"
1"Quinn"
2"Bell"
3"Morris"
places
0"Darkness"
globalScore0.878
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences33
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount962
matches(empty)
86.35% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences83
matches
0"let that land"
1"read that file"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs37
mean26
std22.15
cv0.852
sampleLengths
068
128
210
351
43
537
64
74
841
914
1082
1111
127
1355
144
155
1635
175
1858
196
2052
2115
221
236
243
2548
2616
2751
284
2940
3010
3141
3242
3321
344
3530
3650
92.73% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences56
matches
0"been swept"
1"were clenched"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs105
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount1
flaggedSentences7
totalSentences83
ratio0.084
matches
0"The stairs down to the abandoned platform smelled of damp brick and something sharper — burnt sugar, maybe, or incense gone stale."
1"Male, mid-fifties, well dressed — too well dressed for squatting in a derelict station."
2"She walked the perimeter slowly, the way DS Morris had taught her — eyes down, then up, then sideways at the things nobody thought to look at."
3"Not by council workers; the dust along the walls lay undisturbed in thick grey drifts, but the central walkway was clean, almost polished."
4"She counted the rectangular patches of cleaner concrete — a dozen, maybe more, arranged in rows like a market."
5"She moved toward the body again and noticed what she'd missed the first time — the victim's left hand, the one folded underneath."
6"Felt the old cold weight settle behind her ribs — the same weight she'd carried since Morris died three years ago, on a case that had never made sense either."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount558
adjectiveStacks0
stackExamples(empty)
adverbCount22
adverbRatio0.03942652329749104
lyAdverbCount5
lyAdverbRatio0.008960573476702509
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences83
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences83
mean11.59
std9.18
cv0.792
sampleLengths
022
126
220
310
413
55
610
75
814
910
106
1116
123
138
1429
153
161
174
1828
1913
203
2111
222
2327
246
2523
265
2719
286
295
304
313
3228
3311
3416
354
365
3723
388
394
405
4113
4230
435
4410
456
467
4712
483
4930
98.80% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.6265060240963856
totalSentences83
uniqueOpeners52
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences47
matches(empty)
ratio0
58.30% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount19
totalSentences47
matches
0"She crouched beside the corpse."
1"His hands lay folded across"
2"She stood, brushing grit from"
3"She walked the perimeter slowly,"
4"She counted the rectangular patches"
5"She crouched again and ran"
6"She moved down the row"
7"She moved toward the body"
8"She lifted it gently with"
9"It took a minute of"
10"It pointed, steady as a"
11"She dropped it into a"
12"She let that land"
13"She turned toward the tunnel"
14"She softened her voice, the"
15"His eyes flicked toward the"
16"he said finally"
17"She had read that file"
18"She tucked the bag into"
ratio0.404
34.47% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount40
totalSentences47
matches
0"The stairs down to the"
1"Detective Harlow Quinn ducked under"
2"Camden's forgotten Tube station, sealed"
3"Sergeant Bell raised a hand"
4"She crouched beside the corpse."
5"Wool coat, silk scarf, shoes"
6"His hands lay folded across"
7"Bell flipped open his notebook"
8"Quinn looked up."
9"She stood, brushing grit from"
10"Bell's jaw worked."
11"She walked the perimeter slowly,"
12"The platform had been swept"
13"Stalls had stood here once."
14"She counted the rectangular patches"
15"She crouched again and ran"
16"She moved down the row"
17"She moved toward the body"
18"She lifted it gently with"
19"The fingers were clenched."
ratio0.851
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences47
matches(empty)
ratio0
6.80% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences21
technicalSentenceCount4
matches
0"His hands lay folded across his chest as though someone had arranged him for a funeral."
1"Inside the man's fist sat a small brass compass, green with verdigris, its face crowded with etched symbols that made Quinn's eyes water when she tried to focus…"
2"Felt the old cold weight settle behind her ribs — the same weight she'd carried since Morris died three years ago, on a case that had never made sense either."
3"Through the plastic, the needle held its impossible bearing, tugging toward the dark as if the dark were north itself."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags18
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount1
fancyTags
0"Bell laughed (laugh)"
dialogueSentences45
tagDensity0.111
leniency0.222
rawRatio0.2
effectiveRatio0.044
80.4306%