Run: 2026-07-25-01KYD5QKK1T35DPSCT3NDMV3JJ

Run Details

Duration:
1m 47s
Cost:
$0.042730
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="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> <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> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. 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
Rain needled the Soho pavements and turned the green neon above The Raven’s Nest into a wet wound over the door. Detective Harlow Quinn stood beneath it with her collar up, leather watch slick against her left wrist, and watched the bookshelf inside the bar exhale a man into the main room. Tomás Herrera came out fast. Short curly dark hair plastered to his forehead, olive skin flushed, Saint Christopher medallion jumping at his throat. He carried a steel case against his chest with both arms, the way paramedics carried fragile lives. The scar along his left forearm showed white when his sleeve rode up. Quinn stepped from the doorway. “Met Police. Set the case down.” He saw her brown eyes first, then the warrant card, then the set of her sharp jaw. His warm brown gaze cut to the alley behind her. “Not tonight, Detective.” “Tomás Herrera. Set it down.” “You don’t know what’s in it.” “Then educate me at the station.” He ran. Quinn moved with military precision, no wasted shout, no dramatic curse. She took the corner in three strides and drove after him through the rain. His trainers slapped the kerb. Hers struck harder, heel-toe, heel-toe, eighteen years of foot chases compressed into rhythm. Ahead, Herrera ducked between a delivery moped and a black cab. A horn blared. The cabbie leaned out. “You blind, mate?” Quinn flashed the card without breaking pace. “Police. Move.” The cab jerked aside. Herrera used the gap to vault a stack of crates outside a closed grocer. The steel case banged his hip. He hissed and kept going. “Herrera!” Quinn closed to ten metres. “You’re making this worse.” “You keep saying that like prison’s the worst option.” “It’s the certain one.” He glanced back, rain on his lashes. “Morris thought certainty was a virtue too.” The name hit under her ribs. DS Morris, three years dead, file sealed tight enough to choke. Quinn’s stride faltered for half a second. Herrera took it and vanished down Greek Street. She pushed harder. Streetlights smeared across the tarmac. A bus sighed at the stop, doors folding open, and Herrera cut through the gap between its flank and a cyclist. The cyclist swore; Quinn lifted one hand, palm out. “Sorry. Police.” “Buy a bell next time,” the cyclist shouted. She almost laughed. It came out as breath. She rounded onto Old Compton Street, where late drinkers huddled under awnings and pretended not to see a detective chasing a man with a medical case. A woman in a red coat stepped into her path, phone raised. Quinn caught the woman’s wrist, gentle, firm, and moved her aside without slowing. “Don’t film faces.” “I know my rights.” “Good. Exercise the one about staying alive.” Herrera crossed against the light. A van braked; its tyres kissed water and slid. Quinn heard the engine’s panic, saw Herrera’s shoulder strike the wing mirror, saw him spin and keep his feet. The medallion swung loose. He caught it, kissed it once, and sprinted north. Her radio crackled. “All units, reports of a disturbance—” She thumbed it. “Quinn, foot pursuit, Greek Street toward Shaftesbury, male, twenty-nine, five-ten, medical steel case. Request containment at Tottenham Court Road.” Static chewed the reply. A voice broke through. “Detective, confirm authority for—” Herrera reached the junction and dropped out of sight. Quinn swore then, once, clean as a blade. She found the mouth of an alley narrow enough to forget in daylight. Black bags bulged against brick. At the far end, a fence rattled. She hit it shoulder-first, climbed, and dropped into a service yard wet with cabbage leaves and bleach. A fire escape shuddered above her. Herrera’s shoes rang on iron. “Give it up,” she called. “You still think this is a burglary.” “You ran from a hidden room with a locked case.” “I ran from a bar with a patient dying in the walls.” She froze with one boot on the first stair. “What patient?” He looked down through the grate, rain threading his hair. “The kind your forms don’t have a box for.” She climbed. He was already gone over the roofline. Quinn followed across tar and pigeon wire, between chimney pots steaming in the cold. London opened around them: slate backs, attic windows, the lit eye of the Centre Point tower. Herrera jumped a gap onto a lower ledge and landed wrong. The case clipped concrete. Something inside chimed. Quinn heard it over the rain. Not glass. A note. Herrera crawled up, clutching the case. Blood threaded from his nose. She reached the edge of the gap and measured it with a glance. “You’ll break your ankles,” he said. “You’re limping.” “I’m charming.” “You’re under arrest.” He smiled without showing teeth. “You chased DS Morris into a stairwell once. He never told you what came down after us.” Quinn’s hand went to her radio before she knew it had moved. “How do you know that name?” “Seville taught me enough about last rites. London taught me the rest.” He wiped blood with his sleeve. “Morris begged me not to sign the report.” “There was no report.” “Exactly.” A siren rose streets away and died. Herrera ran again, down a metal ladder into the blue mouth of an alley. Quinn followed, boots slipping, palms burning on wet rail. At ground level he had forty metres and a turn. She gained ten before he reached Camden’s edge, where the high street wore its neon like cheap armour and the night buses growled in herds. He ducked behind a shuttered pharmacy. A man waited there in a wool coat too clean for the weather. No umbrella. Bone-pale token between finger and thumb. Quinn slowed behind a bus shelter. The man in the coat leaned close to Herrera. “You brought a tail.” “I brought a decision.” “Market moves at moonset. No strays.” “She’s not a stray. She’s leverage.” The pale man looked at her hiding place as if rain parted around his sight. “Bone or badge. One opens. One bleeds.” Herrera’s jaw worked. “Open it.” The man pressed the bone token to a bricked-up service door beneath the abandoned Camden station sign. Mortar sighed. Bricks folded inward, each one turning like a page. Cold air rolled out smelling of copper, incense, and river mud. Stairs dropped into the earth where no public line had run for decades. Somewhere below, voices bartered in languages Quinn could name and one she could not. Her radio crackled. “Quinn, position?” She stared at the impossible door. “Signal poor. Camden lock area.” “Say again. No units show a foot pursuit near Camden lock.” Herrera stepped onto the first stair. “Last chance, Detective. Arrest me up here, I lawyer up, case stays sealed, patient dies. Follow me, you break every rule you polished.” “Who’s the patient?” “Morris’s widow.” The rain stopped sounding like rain for one breath. Quinn saw the hospital corridor from three years ago: white walls, forms clipped too straight, Morris’s watch on the bedside table though his wrist had been under a sheet. She saw the blank box marked cause of death. She saw her own reflection in the dark window, cropped salt-and-pepper hair, brown eyes dry because she had ordered them to be. “What killed him?” she asked. Herrera held up the steel case. “The thing I’m buying a cure for.” The pale man’s hand hovered at the door. “Full moon spends fast. In or out.” Quinn checked the street behind her: empty of backup, wet, indifferent. Her warrant card felt suddenly theatrical, a prop from a play staged for people who had never gone below the city. She thought of procedure, of preservation of scene, of the clean bright room where a detective should wait for a warrant and a team. She thought of Morris saying certainty was a virtue and dying with his mouth open around a word no one heard. She holstered the radio. “If you lie, I carry you back up by that medallion.” Herrera’s mouth twitched. “Saint Christopher protects travellers.” “Then tell him to earn his keep.” The pale man extended the token toward her. “Bone opens for bone. Price is memory.” Quinn did not take it. She drew her baton instead and let it click to length. “My price is answers.” “Market doesn’t take IOUs.” “It’ll take me armed.” Herrera descended two more steps. The brick doorway began to breathe, edges loosening. Light from below painted his face gold and green, not neon, not any bulb she knew. Banned bottles glimmered somewhere deep. A bell rang without moving air. Quinn looked once more at the empty Camden street, at the rain stitching the night to the kerb, at the place where law ended because no map admitted it existed. Then she set her boot on the first stair and went down after him.
created_at"2026-07-25T17:38:55.722Z" 7/25/2026, 5:38:55 PM
model"moonshotai/kimi-k3-20260715"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2839
moderation_latency(null)
generation_time107202
tokens_prompt1104
tokens_completion3202
native_tokens_prompt1085
native_tokens_completion2816
native_tokens_completion_images(null)
native_tokens_reasoning771
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)
usage0.0427302
router(null)
provider_responses
0
endpoint_id"650c9b12-7b6d-444d-8d92-df8daef84d7a"
id"chatcmpl-6a64f4b11d2ea393a90e4c9f"
is_byokfalse
latency2839
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-1785001135-j0WpVXcWGfXHhiQYxbR9"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1785001135-nzMxFb9X4XtFhMRqWtX2"
upstream_id"chatcmpl-6a64f4b11d2ea393a90e4c9f"
total_cost0.0427302
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
totalTags6
adverbTagCount0
adverbTags(empty)
dialogueSentences58
tagDensity0.103
leniency0.207
rawRatio0
effectiveRatio0
96.60% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1471
totalAiIsmAdverbs1
found
0
adverb"suddenly"
count1
highlights
0"suddenly"
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)
96.60% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1471
totalAiIsms1
found
0
word"measured"
count1
highlights
0"measured"
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
narrationSentences120
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences120
filterMatches
0"watch"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences172
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen31
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1471
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions13
unquotedAttributions0
matches(empty)
61.50% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions57
wordCount1130
uniqueNames16
maxNameDensity1.77
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Soho1
Raven1
Nest1
Harlow1
Quinn20
Herrera18
Saint1
Christopher1
Morris3
Greek1
Street2
Old1
Compton1
Centre1
Point1
Camden3
persons
0"Raven"
1"Harlow"
2"Quinn"
3"Herrera"
4"Saint"
5"Christopher"
6"Morris"
places
0"Soho"
1"Greek"
2"Street"
3"Old"
4"Compton"
5"Centre"
6"Point"
7"Camden"
globalScore0.615
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences79
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1471
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences172
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs74
mean19.88
std19.91
cv1.001
sampleLengths
052
153
211
330
45
56
66
72
864
99
1029
1110
129
134
1414
1532
1640
178
1862
194
207
2146
229
2322
2412
259
2661
275
287
2910
3012
3111
3219
3357
3410
3524
366
372
382
393
4022
4118
4226
434
441
4565
4627
4719
484
496
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences120
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs204
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount2
flaggedSentences2
totalSentences172
ratio0.012
matches
0"The cyclist swore; Quinn lifted one hand, palm out."
1"A van braked; its tyres kissed water and slid."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1137
adjectiveStacks1
stackExamples
0"Short curly dark hair"
adverbCount29
adverbRatio0.025505716798592787
lyAdverbCount3
lyAdverbRatio0.002638522427440633
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences172
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences172
mean8.55
std6.1
cv0.713
sampleLengths
021
131
25
318
417
513
65
76
817
910
103
115
126
136
142
1511
1614
175
1813
1911
203
214
223
237
242
254
2614
276
285
296
304
319
324
337
347
356
3611
377
388
393
405
4121
429
432
448
453
465
4726
4812
4913
54.07% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.3488372093023256
totalSentences172
uniqueOpeners60
60.06% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences111
matches
0"Somewhere below, voices bartered in"
1"Then she set her boot"
ratio0.018
97.48% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount34
totalSentences111
matches
0"He carried a steel case"
1"He saw her brown eyes"
2"His warm brown gaze cut"
3"She took the corner in"
4"His trainers slapped the kerb."
5"Hers struck harder, heel-toe, heel-toe,"
6"He hissed and kept going."
7"He glanced back, rain on"
8"She pushed harder."
9"She almost laughed."
10"It came out as breath."
11"She rounded onto Old Compton"
12"He caught it, kissed it"
13"Her radio crackled."
14"She thumbed it."
15"She found the mouth of"
16"She hit it shoulder-first, climbed,"
17"She froze with one boot"
18"He looked down through the"
19"He was already gone over"
ratio0.306
9.55% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount100
totalSentences111
matches
0"Rain needled the Soho pavements"
1"Detective Harlow Quinn stood beneath"
2"Tomás Herrera came out fast."
3"He carried a steel case"
4"The scar along his left"
5"Quinn stepped from the doorway."
6"He saw her brown eyes"
7"His warm brown gaze cut"
8"Quinn moved with military precision,"
9"She took the corner in"
10"His trainers slapped the kerb."
11"Hers struck harder, heel-toe, heel-toe,"
12"A horn blared."
13"The cabbie leaned out."
14"Quinn flashed the card without"
15"The cab jerked aside."
16"Herrera used the gap to"
17"The steel case banged his"
18"He hissed and kept going."
19"Quinn closed to ten metres"
ratio0.901
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences111
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences45
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags6
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount1
fancyTags
0"the cyclist shouted (shout)"
dialogueSentences58
tagDensity0.069
leniency0.138
rawRatio0.25
effectiveRatio0.034
88.9954%