Run: 2026-10-27-01M5YJHH8G10RA5CZP89A75D89

Run Details

Duration:
8m 20s
Cost:
$0.136071
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
Quinn counted the steps on the way down. One hundred and six from the maintenance gate to the ticket hall, then forty-two more to the platform. Counting gave the darkness edges. At the bottom, work lights glared from orange tripods. Their cables snaked over tiles furred with soot, beneath advertisements for cigarettes and seaside excursions. Camden traffic pressed through the street above, reduced below ground to an occasional shiver in the dust. Quinn checked her worn leather watch. Three seventeen. She buttoned her coat against the underground chill and ducked beneath the tape without disturbing the officer logging names. The dead man lay at the far end of the platform, one shoe across the faded yellow line. A train had not stopped there in decades. DS Bennett met her beside the body. He had folded his tall frame into a paper suit and held an evidence bag against his chest. “Male, late twenties or early thirties. No wallet, phone or keys. One wound beneath the ribs, narrow blade. Kowalski found him and used the emergency telephone at the north end. Response had to cut three locks to reach her.” “Which Kowalski?” “Eva. Research assistant at the British Museum, according to her pass.” He raised the bag. Inside lay a disc the colour of old tea, pierced through the centre and carved with a crescent. “She had this in her satchel. Says it’s bone.” Quinn looked along the platform. The work lights exposed clean rectangles in the dust, arranged in two uneven rows. Trolley tracks scored the floor between them. A snapped string of glass beads glittered beside a bench. Bennett followed her gaze. “An illegal market. Stolen goods, pills, whatever people buy when they don’t want a receipt. Our victim gets robbed, someone sticks him, and the traders pack up. Kowalski either took part or stayed behind to improve her statement.” “With a story about a magic token?” “I didn’t say it was a good statement.” Quinn crouched beyond the numbered markers. The body wore a grey wool coat over a blue shirt. Blood had blackened much of the shirt front, but none stained the platform beneath him. His face held the yellowish pallor of old candle wax. She lifted the coat edge with a gloved finger. Three narrow runnels of blood marked the fabric below the wound. They descended to his belt, turned left and stopped. The body lay on its back. Those lines had formed while he stood. His knees carried a pale dust, almost pink. More of it filled the creases of his right palm. Quinn rubbed a grain of platform dirt between her fingers. Black grit. She examined his shoes. Dust clogged the stitching, but the heels showed no fresh damage. “Bennett. Where did they drag him from?” He nodded towards two scuffs running from the body towards the stalls. “Service tunnel’s my guess. They panicked, moved him out of their way, then realised the street gates were locked.” “They dragged him on his heels?” “That’s the usual method.” “Not with these shoes.” She turned one heel towards him. “No new scarring. And your drag marks are twenty-two inches apart. His heels are eleven.” Bennett lowered the evidence bag. “Trolley tracks?” “They run beneath the stalls.” Quinn indicated a clean rectangle where one of the lines vanished and emerged on the other side. “Nobody dragged him. There’s no blood trail, either.” “A narrow wound can close around the blade.” “The blade isn’t in him.” Bennett’s mouth tightened. He looked towards the tunnel mouth, where two officers worked their torches over the brick floor. “All right. He was killed somewhere else and carried in.” Quinn rose and looked at the clear space around the body. Response officers had left their prints along the platform edge. Beyond them, the dust held a confusion of shoes, heels and trolley wheels. Within six feet of the corpse, nothing disturbed it except the wheels beneath his coat. “Carried by someone without feet?” A woman laughed from the bench near the wall. The sound broke off when Quinn turned. Eva Kowalski sat with her boots together and a worn leather satchel open between them. Books filled it, their corners wrapped in cloth. Curly red hair had escaped the clip at her neck, and she tucked a strand behind her left ear. Freckles stood out against her drained face. Behind round glasses, her green eyes moved from Quinn to the body and back. Quinn approached but kept the tape between them. “You find this amusing, Miss Kowalski?” “No.” Eva pushed her glasses up with one finger. “I spent ten minutes telling your sergeant that nobody used the service tunnel. He looked at me as though I’d suggested they left by balloon.” “How did they leave?” “Through the Market’s door.” “The one on the platform?” “The one the Market was using tonight.” Bennett joined them, holding up the bagged token. “Tell Detective Quinn what you told me.” Eva’s gaze settled on the disc. “It’s an admission token. You show it at the entrance. Without one, you find a locked station and a great deal of damp.” “And with one?” “The Veil Market. Thirty-two stalls tonight. Books, tinctures, charms, information. A man near the tunnel was selling something in a fire extinguisher that made the flames spell names.” “Narcotics?” Quinn asked. “Probably several kinds.” “Stolen property?” “I saw a seventeenth-century catalogue that should be in Prague.” “Did you report it?” Eva’s fingers stopped at her ear. “I was trying to establish whether it was genuine.” “Of course.” Quinn took the token from Bennett and held it beneath the nearest lamp. Fine pores ran through its surface. Not ivory. Not resin. Someone had carved the crescent after the bone had aged, leaving the grooves lighter than the face. “What happened at midnight?” “The Market moved. It does every full moon. The stalls went first, then the customers. I was examining a binding and missed the warning bell.” “Why didn’t you leave with them?” “My token stopped working.” Eva glanced at the body. “I came back along the platform and found him.” “You touched him?” “His wrist. There was no pulse. I moved the compass.” Quinn lowered the token. “What compass?” Bennett swore under his breath and started back towards the body. Eva pointed after him. “It was under his right hand. I picked it up because I thought it might show me where everyone had gone. Then I realised how that would look when you arrived, so I put it back.” “That was the part you thought would look bad?” “I’d had a difficult hour.” On a square of card beside the body, Bennett found a small brass compass and held it up in his gloved palm. Verdigris mottled its casing. Sigils ringed the face, cut so fine they seemed to shift when the light changed. Its needle pointed towards the tiled wall. Quinn took it and turned the compass through half a circle. The needle swung back. “Broken,” Bennett said. She walked six paces along the platform. The needle moved with her, holding its bearing on the same stretch of wall. She lifted it to chest height, then lowered it beside her knee. The point dipped as if the target lay below the platform’s centre. Eva watched from the bench. “It’s a Veil Compass.” Quinn kept her eyes on the needle. “What does it do when it isn’t broken?” “Points to the nearest opening between places. The traders call them rifts.” “And you used it to look for an exit?” “I used it. Then I used the telephone.” Quinn closed her hand around the brass. It held no warmth from Eva or Bennett, yet a faint vibration touched her palm, too regular for the traffic overhead. She crossed to the wall. An advertisement for Bournville cocoa covered most of it, its painted boy faded to a sepia ghost. The body lay three feet to the left. Dozens of market footprints approached the tiles. None led away. Bennett came after her. “There’s another service exit on the plans. It connects beyond the north tunnel.” “The mouth of your north tunnel is covered in fallen brick dust.” “They could have brushed it back into place.” “A hundred people?” “We don’t know there were a hundred.” “Thirty-two stalls. Two people at each, plus customers. You can have sixty or you can have two hundred. You can’t have six.” Quinn angled her torch along the floor. The wheel tracks nearest the wall disappeared beneath the dead man’s coat. She followed them back to the stalls, then returned to the body. The market had left before he arrived. She studied the dust in front of the advertisement. At first it looked undisturbed. The torch caught it from a lower angle and exposed a shallow curve, a fan where the grit lay thinner than on either side. Something had swept across it. Not feet. A door. Quinn stepped closer. The grout between the tiles formed a grid broken by cracks and old repairs. Beneath the painted boy’s left boot, one vertical line ran too straight. It continued below the skirting, stopped at the floor and resumed above the advertisement. A second line paralleled it seven feet away. She held the compass near the lower corner. The needle quivered against the glass. Bennett crouched to examine the fan in the dust. “A panel could do that.” “It did do that.” “Behind this wall?” “Somewhere with pale tiles.” Quinn opened her hand. Pinkish dust clung to her glove where she had touched the victim’s palm. “He stood while he bled. Then he went down on his knees and caught himself with his right hand. His blood dried before anyone laid him here. There’s no pool, no trail and no footprints around him because nobody carried him across the platform.” Bennett looked from the corpse to the wall. “He was put through the panel.” Quinn swept the torch along its base. A crack divided one tile near the floor. Pale powder fanned from it, so fine that the platform dirt had almost covered it. In the grout beside the crack sat a dark pinpoint. She touched nothing. “Photographer,” she said. Bennett raised a hand towards the scene officer without taking his eyes off the pinpoint. Quinn set the compass on the floor. Its needle pointed through the tiles. Eva had risen from the bench. Her satchel sagged against her leg, and one hand rested on the tape. Bennett’s earlier certainty had gone from his face. He examined the clean fan again, then the trolley track beneath the body. “If the market cleared before he was dumped…” “You have the order wrong,” Quinn said. “They didn’t scatter because a man was stabbed. They packed their stalls, took their stock and left. Then someone opened this panel wide enough to put a body on the platform.” She shone her torch on the pale dust inside the dead man’s hand, then on the matching powder at her feet. “The station is where we found him. The room behind that wall is where he fell.”
created_at"2026-10-27T11:39:46.331Z" 10/27/2026, 11:39:46 AM
model"moonshotai/kimi-k3.1-pro-20261023"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency8737
moderation_latency(null)
generation_time500318
tokens_prompt1112
tokens_completion15529
native_tokens_prompt1107
native_tokens_completion13570
native_tokens_completion_images(null)
native_tokens_reasoning11156
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)
usage0.1360708
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.22.1; linux; x64))"
http_referer(null)
request_id"req-1793101186-CarAnTAtZR2WbDnWluLO"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1793101186-2RT51dtOHDHmkrzwyw9w"
upstream_id"chatcmpl-6ae08d832678f83ff2ad2c49"
provider_responses
0
endpoint_id"a3fafaac-f097-4ef1-86b3-842854dad5c6"
id"chatcmpl-6ae08d832678f83ff2ad2c49"
is_byokfalse
latency8737
model_permaslug"moonshotai/kimi-k3.1-pro-20261023"
provider_name"Moonshot AI"
status200
total_cost0.1360708
cache_discount0.0018432
upstream_inference_cost0
provider_name"Moonshot 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
totalTags10
adverbTagCount0
adverbTags(empty)
dialogueSentences72
tagDensity0.139
leniency0.278
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1847
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
89.17% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1847
totalAiIsms4
found
0
word"chill"
count1
1
word"pulse"
count1
2
word"warmth"
count1
3
word"quivered"
count1
highlights
0"chill"
1"pulse"
2"warmth"
3"quivered"
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
narrationSentences124
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences124
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences186
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen44
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1847
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
53.85% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions49
wordCount1144
uniqueNames6
maxNameDensity1.92
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Bennett15
Quinn22
Kowalski1
Eva9
Bournville1
Pinkish1
persons
0"Bennett"
1"Quinn"
2"Kowalski"
3"Eva"
places(empty)
globalScore0.538
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences93
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1847
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences186
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs115
mean16.06
std14.7
cv0.915
sampleLengths
031
141
227
326
425
539
62
742
836
94
1038
117
128
1342
149
1533
1630
1715
187
1912
2019
216
224
2325
245
252
2630
278
285
2919
3010
3149
325
3316
3463
358
366
3734
384
394
405
417
428
437
446
4523
463
4728
483
493
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences124
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs180
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences186
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1145
adjectiveStacks1
stackExamples
0"above, reduced below ground"
adverbCount19
adverbRatio0.016593886462882096
lyAdverbCount1
lyAdverbRatio0.0008733624454148472
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences186
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences186
mean9.93
std7.11
cv0.716
sampleLengths
08
118
25
39
415
517
66
72
819
918
108
117
1218
1339
142
1515
1618
179
185
1914
207
2110
224
2338
247
258
266
2711
2815
2910
309
3111
329
336
347
358
3610
3710
382
394
4011
417
4212
4319
446
454
4610
4715
485
492
68.82% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.41935483870967744
totalSentences186
uniqueOpeners78
29.24% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences114
matches
0"More of it filled the"
ratio0.009
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount26
totalSentences114
matches
0"Their cables snaked over tiles"
1"She buttoned her coat against"
2"He had folded his tall"
3"He raised the bag"
4"His face held the yellowish"
5"She lifted the coat edge"
6"They descended to his belt,"
7"His knees carried a pale"
8"She examined his shoes."
9"He nodded towards two scuffs"
10"She turned one heel towards"
11"He looked towards the tunnel"
12"Its needle pointed towards the"
13"She walked six paces along"
14"She lifted it to chest"
15"It held no warmth from"
16"She crossed to the wall."
17"She followed them back to"
18"She studied the dust in"
19"It continued below the skirting,"
ratio0.228
34.56% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount97
totalSentences114
matches
0"Quinn counted the steps on"
1"Their cables snaked over tiles"
2"Camden traffic pressed through the"
3"Quinn checked her worn leather"
4"She buttoned her coat against"
5"The dead man lay at"
6"A train had not stopped"
7"DS Bennett met her beside"
8"He had folded his tall"
9"He raised the bag"
10"Quinn looked along the platform."
11"The work lights exposed clean"
12"Trolley tracks scored the floor"
13"A snapped string of glass"
14"Bennett followed her gaze."
15"Quinn crouched beyond the numbered"
16"The body wore a grey"
17"Blood had blackened much of"
18"His face held the yellowish"
19"She lifted the coat edge"
ratio0.851
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences114
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences49
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags10
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount0
fancyTags(empty)
dialogueSentences72
tagDensity0.056
leniency0.111
rawRatio0
effectiveRatio0
88.9879%