Run: 2026-07-25-01KYD4X0X74SMF1WGP129HBFD3

Run Details

Duration:
1m 18s
Cost:
$0.031659
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 wet concrete and something sweeter underneath, like rotting lilies. Detective Harlow Quinn ducked under the cordon tape and let her eyes adjust to the work lights the scene team had rigged along the platform edge. "You're late," called DS Fenwick from beside the body. He stood with his hands on his hips, suit jacket off, shirtsleeves rolled, the picture of a man who had already solved the case and resented her for making him wait. "Traffic on the Euston Road." Quinn pulled on gloves and crouched. The dead man lay on his back between the platform and the old track bed, arms arranged neatly at his sides. Mid-fifties, grey beard, expensive overcoat. No wallet. No phone. No visible wounds. "Found by a trespasser at half six," Fenwick said. "Urban explorer, he claims. Doc puts time of death around midnight. Lividity's fixed, no signs of a struggle. My read — wrong place, wrong time. Some rough sleeper stabbed him for the coat, took the valuables, dumped him down here." "Where's the wound?" "That's the thing. Doc can't find one. Heart failure, probably. Natural causes in an unnatural location. Case of the month." Quinn didn't answer. She studied the body the way DS Morris had taught her, three years gone and still teaching her — start wide, then narrow, let the scene talk first. The coat bothered her. Cashmere, worth a week's wages, and it hung on him like a custom fit. A man dressed that well didn't wander into a sealed Tube station alone at midnight unless he had a reason. His shoes were clean. Clean soles, no soot, no dust. The platform around her own boots lay thick with the black grime of a hundred years underground, and his brogues looked polished that morning. "He didn't walk here," she said. "Sure he did. Trespasser said the maintenance gate was jimmied." "Look at his shoes, Fenwick." Fenwick looked. His mouth tightened. "Carried him, then. Two blokes, maybe." "Carried him where? There's no drag marks, no scuffs on the coat. He was placed. Gently." She pointed at the hands. "Someone crossed his arms and straightened his collar. You don't tuck in a man you've robbed." Quinn stood and walked the platform slowly. The work lights threw hard shadows into the alcoves, and she counted doorways, ticket kiosks, the old lift shaft sealed with corrugated iron. The air moved wrong. Underground stations breathed — every one of them, she'd learned that from Morris, who had a nose for draughts the way other men had a nose for horses. Air came up from tunnels, down from gratings. Here it pushed against her face from the wrong direction, out of the sealed lift shaft, warm and carrying that lily-sweet rot. She pressed her palm to the corrugated iron. It thrummed, faint as a bee inside a wall. "There's a space behind this." "There's a lift shaft behind it," Fenwick said. "It's on the plans. Seventy feet of nothing." "Then why is it warm?" "Boiler room somewhere. Harlow." He stepped closer and dropped his voice. "I know what you're doing. You've been doing it since Morris. Looking for the weird in everything. Some cases are just a dead bloke and a cordon. Let this one be that." The name landed like it always did, a finger on a bruise. Morris, dead three years, and the official report still said cardiac arrest, still said nothing about the state they'd found the room in, the frost on the inside of the windows in July. "Then humour me," Quinn said. She worked along the platform, quartering the floor with her torch. The grime lay undisturbed except for the scene team's footprints and one other trail — not footprints. A line. Two lines, parallel, about a hand's width apart, running from the far tunnel mouth to where the body lay. She crouched and touched one. The dust on either side had been pushed up in miniature ridges, like a wake. "Something was dragged on wheels," she said. "A trolley. Narrow gauge. Coming from the tunnel, stopping here, and then — nothing. It doesn't go back." "So it's still down here. Or they carried it out." "Or it went somewhere." She followed the lines to the tunnel mouth and shone her torch in. Twenty feet of dark, then the curve. The rails were dull with rust, but the rust on one rail had been scraped bright, recently, in a single unbroken stripe. "Trains haven't run here in ninety years, Fenwick." "Joyriders. Kids with a pump trolley. It happens." Quinn turned back and studied the body again from the tunnel side. From this angle she saw what the lights had hidden: a fine grey powder dusted the dead man's shoulders and the lapels of his coat, like ash or pollen. She scraped some into an evidence bag and held it to the torch. It glittered faintly, wrong, iridescent. "Get forensics to test this. And I want the air behind that lift shaft sampled." "Harlow—" "And find out who he is. A man in a two-thousand-pound coat has a tailor, a barber, a dentist. He'll have a name by noon." Fenwick rubbed the back of his neck. "Say you're right. Say he was placed. Why here? Why bother? There's a hundred easier places to dump a body in this city." "That's the question that matters." Quinn checked her watch, the worn leather strap soft against her wrist, the gesture she made when the pieces started moving in her head. "You don't carry a man into a sealed station unless the station is the point. Either the location meant something to him, or it meant something to whoever put him here. Or—" she glanced at the corrugated iron, felt that faint hum again through the floor of her memory— "he came here himself, alive, for whatever's behind that wall, and something went wrong." She crouched one last time beside the body and looked at his hands. Right palm, pressed flat against the concrete by the placement, but the left — the left hand's fingers were curled slightly, and there was grime under the nails. Fresh grime, dark and waxy. She lifted the hand gently. The nails on the middle two fingers were chipped, as if he'd been scratching at something. Scratching, or gripping. Gripping something that had been taken from his hand after he died. She photographed it twice. Then she noticed the mark on his wrist where a watch had been — a pale band of skin, recent, the strap-line sharp. A watch worn for years, removed within the last day. "His watch is gone," Fenwick said. "Supports the robbery angle." "No." Quinn turned the wrist toward the light. On the pale skin, faint but legible, someone had pressed a mark — a spiral of fine lines, like a fingerprint too big for any finger, worked into the skin in grey residue. The same residue that dusted his shoulders. "Robbers take the watch. They don't leave a signature." Fenwick leaned in, and for the first time that morning his certainty wavered. "What is that?" "I don't know yet." Quinn bagged the hand in paper, not plastic — preserve whatever that powder was. "But whoever put him here knew this station. Knew a way in that isn't on the plans, knew it well enough to move a trolley through the dark. That's not random. That's a regular." She stood and looked down the platform, past the lights, into the dark where the draught came from, warm and sweet and wrong. Somewhere behind these walls, something breathed, and a man in a cashmere coat had died holding onto a secret. "Cancel the natural causes write-up," she said. "This is a murder scene. And I want a locksmith, a structural engineer, and the full plans for this station — the real ones, including whatever they sealed in ninety years ago and forgot to tell anyone about." Fenwick opened his mouth to argue, then looked at the scrape on the rail, the dust on the coat, the curled fingers, and closed it again. He reached for his radio. Quinn stayed where she was, watching the dark, her thumb worrying the leather strap of her watch. Morris had stood in a room like this once, all the evidence pointing the wrong way, and she'd signed the report that said natural causes. She had spent three years learning to never sign that report again.
created_at"2026-07-25T17:24:24.622Z" 7/25/2026, 5:24:24 PM
model"moonshotai/kimi-k3-20260715"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3238
moderation_latency(null)
generation_time78114
tokens_prompt1112
tokens_completion2090
native_tokens_prompt1108
native_tokens_completion1889
native_tokens_completion_images(null)
native_tokens_reasoning41
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)
usage0.031659
router(null)
provider_responses
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endpoint_id"650c9b12-7b6d-444d-8d92-df8daef84d7a"
id"chatcmpl-6a64f1382fc3108a24d7357b"
is_byokfalse
latency3238
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-1785000264-WB9JVqTxEwqtMB1ubRz8"
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api_type"completions"
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upstream_id"chatcmpl-6a64f1382fc3108a24d7357b"
total_cost0.031659
cache_discount(null)
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
totalTags15
adverbTagCount0
adverbTags(empty)
dialogueSentences40
tagDensity0.375
leniency0.75
rawRatio0
effectiveRatio0
85.77% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1405
totalAiIsmAdverbs4
found
0
adverb"gently"
count2
1
adverb"slowly"
count1
2
adverb"slightly"
count1
highlights
0"gently"
1"slowly"
2"slightly"
80.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Lily"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
96.44% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1405
totalAiIsms1
found
0
word"wavered"
count1
highlights
0"wavered"
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
filterCount2
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)
analyzedSentences101
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen63
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1415
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions17
unquotedAttributions0
matches(empty)
97.26% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions27
wordCount948
uniqueNames8
maxNameDensity1.05
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Camden1
Harlow1
Quinn10
Fenwick8
Morris4
Tube1
July1
Twenty1
persons
0"Harlow"
1"Quinn"
2"Fenwick"
3"Morris"
places
0"July"
1"Twenty"
globalScore0.973
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences51
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1415
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences101
matches
0"sign that report"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs45
mean31.44
std23.91
cv0.76
sampleLengths
045
140
211
333
449
53
620
731
872
96
1010
115
1211
1337
1492
1517
165
1716
185
1943
2045
215
2269
2325
2410
2546
268
278
2859
2915
301
3125
3230
3392
3470
3512
3637
3710
3857
3916
4052
4142
4245
4331
4454
82.48% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences77
matches
0"been pushed"
1"been scraped"
2"were curled"
3"were chipped"
4"been taken"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs144
matches
0"was, watching"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount0
flaggedSentences7
totalSentences101
ratio0.069
matches
0"She studied the body the way DS Morris had taught her, three years gone and still teaching her — start wide, then narrow, let the scene talk first."
1"Underground stations breathed — every one of them, she'd learned that from Morris, who had a nose for draughts the way other men had a nose for horses."
2"The grime lay undisturbed except for the scene team's footprints and one other trail — not footprints."
3"Right palm, pressed flat against the concrete by the placement, but the left — the left hand's fingers were curled slightly, and there was grime under the nails."
4"Then she noticed the mark on his wrist where a watch had been — a pale band of skin, recent, the strap-line sharp."
5"On the pale skin, faint but legible, someone had pressed a mark — a spiral of fine lines, like a fingerprint too big for any finger, worked into the skin in grey residue."
6"\"I don't know yet.\" Quinn bagged the hand in paper, not plastic — preserve whatever that powder was."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount944
adjectiveStacks0
stackExamples(empty)
adverbCount30
adverbRatio0.03177966101694915
lyAdverbCount8
lyAdverbRatio0.00847457627118644
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences101
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences101
mean14.01
std10.72
cv0.765
sampleLengths
019
126
29
331
411
521
65
72
82
93
109
1140
123
1320
143
1528
164
1714
1820
194
206
2124
226
2310
245
252
263
276
2821
2916
307
3123
324
3328
348
3522
368
379
385
398
408
415
4211
4332
4412
4533
465
4711
4817
492
85.81% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.5445544554455446
totalSentences101
uniqueOpeners55
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences66
matches
0"Then she noticed the mark"
1"Somewhere behind these walls, something"
ratio0.03
98.79% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount20
totalSentences66
matches
0"He stood with his hands"
1"She studied the body the"
2"His shoes were clean."
3"His mouth tightened."
4"She pointed at the hands"
5"She pressed her palm to"
6"It thrummed, faint as a"
7"He stepped closer and dropped"
8"She worked along the platform,"
9"She crouched and touched one."
10"She followed the lines to"
11"She scraped some into an"
12"It glittered faintly, wrong, iridescent."
13"she glanced at the corrugated"
14"She crouched one last time"
15"She lifted the hand gently."
16"She photographed it twice."
17"She stood and looked down"
18"He reached for his radio."
19"She had spent three years"
ratio0.303
73.64% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount51
totalSentences66
matches
0"The stairs down to the"
1"Detective Harlow Quinn ducked under"
2"He stood with his hands"
3"Quinn pulled on gloves and"
4"The dead man lay on"
5"Quinn didn't answer."
6"She studied the body the"
7"The coat bothered her."
8"Cashmere, worth a week's wages,"
9"A man dressed that well"
10"His shoes were clean."
11"The platform around her own"
12"His mouth tightened."
13"She pointed at the hands"
14"Quinn stood and walked the"
15"The work lights threw hard"
16"The air moved wrong."
17"Air came up from tunnels,"
18"Here it pushed against her"
19"She pressed her palm to"
ratio0.773
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences66
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences35
technicalSentenceCount2
matches
0"He stood with his hands on his hips, suit jacket off, shirtsleeves rolled, the picture of a man who had already solved the case and resented her for making him …"
1"Quinn stayed where she was, watching the dark, her thumb worrying the leather strap of her watch."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags15
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount0
fancyTags(empty)
dialogueSentences40
tagDensity0.175
leniency0.35
rawRatio0
effectiveRatio0
90.0059%