Run: 2026-07-25-01KYD6CB0TCMEWCFCMXEJ0DYH8

Run Details

Duration:
2m 8s
Cost:
$0.048535
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 Camden pavement and turned the sodium lamps into smeared coins. Detective Harlow Quinn kept her shoulders squared inside her soaked coat and matched the man ahead stride for stride, close enough to see the silver glint at his throat, far enough back to pretend she was only another night creature hunting shelter. Tomás Herrera moved like someone who had carried stretchers through bomb scares. No wasted turn. No panic. He cut left off Camden High Street with his black medical bag hugged to his ribs, olive skin shining under the downpour, dark curls flattened to his skull. The Saint Christopher medallion bounced once against his collarbone before he tucked it away with two fingers, a habit Quinn had logged three nights running outside the Raven’s Nest. “You’re making a mistake, Herrera.” Her voice crossed the alley and struck brick. He didn’t look back. “You followed the wrong man from Soho, Detective.” “Then stop running.” “Then stop chasing.” A delivery moped snarled past, spraying gutter water up Quinn’s shins. She stepped through it without breaking pace. Her worn leather watch had slipped down her left wrist; she shoved it back with her thumb and felt the familiar ridge of scar tissue beneath the strap, the one that pulsed when storms came in from the river. Herrera vaulted a chained gate, landed light, and vanished into the service lane behind a shuttered chicken shop. Quinn hit the gate hard enough to rattle the padlock, hauled herself over, and dropped into oil-black water. It swallowed her shoes to the ankle. Somewhere above, a window slammed. “Met Police.” She swept her coat aside so he could see the warrant card when he glanced back. “One conversation, Tomás.” He paused under a fire escape, breath steaming, bag clutched like an infant. “That what you told Morris before he went into the dark?” The name knocked the alley sideways. Quinn came off the wall before she knew she had moved. “Say that again.” But Herrera was gone. Not running. Flowing. Around bins, under steam, through a curtain of rain where the lane narrowed to a throat. Quinn drove after him, every muscle awake, eighteen years of doors and stairs and faces that lied burning behind her eyes. Morris had left blood on a warehouse floor in Mile End and no body worth burying. The file said misadventure. The silence in the incident room had said shut up. She had carried silence for three years. It weighed more than a vest. Herrera burst out onto a street of closed markets and shuttered arcades. Camden after midnight wore its own skin: foxes nosing chicken bones, club kids drowned under awnings, a bus groaning empty toward Chalk Farm. The full moon hung low behind cloud, visible only as a bleach stain on the black. Quinn’s chest tightened. Full moon. The whisper from the informant at the Raven’s Nest crawled back up her spine. It moves when the moon is fat. Bring bone or don’t knock. Herrera crossed the road between a black cab and a cyclist. Horns cracked. Quinn ignored the cab’s fishtail and the driver’s fist and kept her eyes on the medallion’s brief flash as Herrera ducked beneath a hoarding painted with teeth. “Tomás.” She put everything into it: command, threat, the soft part she kept for mothers and liars. “Whatever you’re carrying, whatever Silas asked you to patch, I can keep you breathing.” He spun at the mouth of an alley where an old Tube roundel, blind and rusted, still clung to brick. Camden’s dead station. Boards over the entrance. Chain across the stair. A sign promising redevelopment by men who washed money through gyms. “Breathing isn’t the same as safe.” Rain ran down his nose. “You people keep confusing them.” “You lost your licence for a reason.” “Three.” He lifted the bag an inch. “One had wings. One had no pulse and asked me not to be afraid. One bit through my forearm because your world starves them and calls it order.” He touched the scar under his sleeve even through cloth. “I stopped asking permission to keep people alive.” Quinn closed the gap by two metres. “Who’s bleeding tonight?” His face changed. Not guilt. Grief with a job to do. “No one you can book.” A shutter banged somewhere deep below them. Not wind. Metal on metal, then laughter, then a note from an instrument with too few strings. The alley mouth exhaled warmth despite the rain. Quinn smelled cloves, wet dog, copper, the bitter almond of a chemistry set left too near flame. Herrera reached into his coat. Quinn’s hand found her baton. “Easy.” He produced a pale token no longer than a thumb. Bone, carved with a spiral, yellow at the edges like old teeth. “You want your conversation? It’s downstairs. Past the door that eats policemen.” “Since when do medics speak in children’s rhymes?” “Since the doors started answering back.” The chain across the station entrance hung broken. Fresh cut. The boards stood ajar though no crowd had passed, no watchman had shone a torch. Beyond them stairs descended into a black that did not behave like absence. It moved. It listened. Quinn’s radio crackled at her shoulder. She thumbed it dead before control could bleed her name across the borough. Herrera’s eyes flicked to it. “Alone, then.” “Back-up’s coming.” “No, it isn’t.” He tilted his head, kind as a priest and twice as cruel. “You didn’t log me. You didn’t want a paper trail from the Raven to here. You came to see if Morris’s ghost lives under Camden.” Rain hammered the hoarding. Water found the seam of Quinn’s collar and drew a cold line between her shoulder blades. Below, something struck a bell once. The note climbed the stairs, wrapped her wrist, and pulled. She had found salt in Morris’s locker after he vanished. White salt in a film tin, labelled in a hand not his: threshold. She had interviewed a girl with bite marks that spelled a postcode. She had watched CCTV eat eleven seconds outside the hospital morgue while Herrera’s ambulance stood empty with its doors open. “Give me the bag.” She held out her palm. “Come take it.” “I arrest you here, someone dies tonight.” “You follow me down, someone dies eventually.” Herrera smiled without showing teeth. “Maths is a bastard, Quinn.” From inside the station came footsteps. Many feet moving in no rhythm human drills made. A child’s voice sang numbers backward. An old woman swore in a language that tasted of dust. Quinn’s hindbrain screamed trap. The detective in her, the part decorated by men who had never missed a partner, catalogued exits: one stairwell, one lift shaft dead since the forties, one service tunnel if the maps in her head still held. Herrera stepped backward into the dark. The bone token vanished between his fingers. “Last chance to stay dry.” A scream rose from below, cut off mid-breath. Quinn moved. She caught the edge of the board before it closed and forced it wide with her shoulder. Rot and warm air slapped her face. “Herrera.” His voice floated up from the stairwell. “Mind the third step. It lies.” She should have called it. Procedure lived in her bones: observe, contain, wait. Seal the mouth. Let armed units come with lights and authority and men who had never seen a corpse blink. Lose the suspect and save the night. Explain tomorrow why a decorated detective stood alone at a sealed Tube station with mud on her knees and Morris whispering through her molars. Instead she set her boot on the first stair. The dark thickened around her ankles. Not fog. Ink with intentions. Her torch beam struck the tiled wall and died at six feet as if swallowed. Old adverts watched from behind grime: Bovril, Brylcreem, a woman smiling at a husband who had not come home. Quinn drew her baton. “Police. Anyone down here injured, make yourself known.” The market answered with commerce: coins, whispers, a cleaver through gristle, the hush of bargains being struck in blood. Halfway down, something brushed her sleeve. She spun. Empty step. On the wall, fresh chalk marks arrowed deeper: a raven, a key, a spiral like Herrera’s token. The air warmed by degrees no boiler owned. Quinn tasted iron at the back of her tongue and heard Morris laugh once, three years dead, from the black bend below. “Harlow.” Not Herrera. Morris’s voice. Exact. The cigarette rasp, the Essex lift on her name. Her grip went white on the baton. “That’s a poor trick.” “You always did hate stairs.” The voice came from inside her ear and from twenty metres down. It wore her guilt like a uniform. Herrera appeared at the bend, pale as the token, his bag open and glowing faintly from within. Behind him the station ended in a door no architect had built: bone white, arching into brick, crowded with faces that turned as Quinn looked. Beyond it lay stalls, lanterns, cages, hands. The Veil Market breathed. “You can still turn around,” he said. No taunt now. A medic triaging the wound. “Go home. File nothing. Sleep ugly and live.” “Is he down there?” “Morris?” Herrera glanced toward the bone door. “Pieces of what wore him are.” Rain dripped from Quinn’s cropped hair onto the step. Her watch ticked loud as a hammer. Upstairs lay procedure, forms, the commissioner’s glass office, a widow’s unanswered letters, salt in a tin. Downstairs waited a market that moved under the full moon and sold forbidden things to people who no longer had legal names. The bone door opened. No hinge sang. It simply became a way through. Herrera extended one hand, scarred forearm bare. “Token buys truth. Blood buys passage. Bad temper gets you priced.” Quinn looked past him at the stalls, at a jar holding light, at a man with crow feathers where hair should grow, at a woman selling teeth from a velvet tray. Every instinct drilled by eighteen years said unknown ground, no comms, no authority, withdraw. Morris whispered again from inside the doorway, closer, wetter. “Don’t knock, Harl.” Quinn took the bone token Herrera dropped at her feet. It was warm. She closed her fist around it, felt the spiral bite her palm, and stepped down past the lying stair into the dark.
created_at"2026-07-25T17:50:15.073Z" 7/25/2026, 5:50:15 PM
model"moonshotai/kimi-k3-20260715"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2948
moderation_latency(null)
generation_time127818
tokens_prompt1104
tokens_completion3698
native_tokens_prompt1085
native_tokens_completion3203
native_tokens_completion_images(null)
native_tokens_reasoning887
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)
usage0.0485352
router(null)
provider_responses
0
endpoint_id"650c9b12-7b6d-444d-8d92-df8daef84d7a"
id"chatcmpl-6a64f7438f8d119130886ff4"
is_byokfalse
latency2948
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-1785001815-U9QxsIsGUMA7U5Km7nyc"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1785001815-TyztmLwVEa3oInWkNEpa"
upstream_id"chatcmpl-6a64f7438f8d119130886ff4"
total_cost0.0485352
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
totalTags10
adverbTagCount0
adverbTags(empty)
dialogueSentences45
tagDensity0.222
leniency0.444
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1724
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)
68.10% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1724
totalAiIsms11
found
0
word"glint"
count1
1
word"familiar"
count1
2
word"pulsed"
count1
3
word"silence"
count2
4
word"whisper"
count1
5
word"pulse"
count1
6
word"warmth"
count1
7
word"flicked"
count1
8
word"footsteps"
count1
9
word"velvet"
count1
highlights
0"glint"
1"familiar"
2"pulsed"
3"silence"
4"whisper"
5"pulse"
6"warmth"
7"flicked"
8"footsteps"
9"velvet"
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
narrationSentences145
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount0
narrationSentences145
filterMatches
0"watch"
1"observe"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences180
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen42
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1724
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions12
unquotedAttributions0
matches(empty)
77.84% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions72
wordCount1455
uniqueNames22
maxNameDensity1.44
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Camden4
Harlow1
Quinn21
Herrera17
High1
Street1
Saint1
Christopher1
Raven2
Nest2
Mile1
End1
Chalk1
Farm1
Tube2
Rain4
Morris6
Bovril1
Brylcreem1
Essex1
Veil1
Market1
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Saint"
4"Christopher"
5"Nest"
6"Rain"
7"Morris"
8"Market"
places
0"Camden"
1"High"
2"Street"
3"Raven"
4"Mile"
5"Chalk"
6"Farm"
7"Essex"
globalScore0.778
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences98
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1724
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences180
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs74
mean23.3
std20.89
cv0.897
sampleLengths
055
174
25
38
412
53
63
757
848
921
1024
116
1214
134
1470
1513
1670
1712
1840
1931
2042
2116
227
2353
2410
2511
265
2749
2810
291
3034
318
326
3342
3419
357
362
3740
3836
3955
409
413
427
4317
4473
4518
468
472
4825
4913
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences145
matches
0"was gone"
1"being struck"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs249
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences180
ratio0.006
matches
0"Her worn leather watch had slipped down her left wrist; she shoved it back with her thumb and felt the familiar ridge of scar tissue beneath the strap, the one that pulsed when storms came in from the river."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1457
adjectiveStacks0
stackExamples(empty)
adverbCount35
adverbRatio0.024021962937542895
lyAdverbCount4
lyAdverbRatio0.002745367192862045
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences180
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences180
mean9.58
std7.77
cv0.812
sampleLengths
013
142
212
33
42
528
629
75
88
94
108
113
123
1311
147
1539
1618
1718
187
195
2018
213
2213
2311
246
2511
263
274
282
291
3016
3121
3216
334
3410
357
366
3712
3823
3916
403
412
4214
437
445
4511
462
4727
4817
4914
70.19% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.4444444444444444
totalSentences180
uniqueOpeners80
52.49% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences127
matches
0"Somewhere above, a window slammed."
1"Instead she set her boot"
ratio0.016
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount33
totalSentences127
matches
0"He cut left off Camden"
1"Her voice crossed the alley"
2"He didn’t look back."
3"She stepped through it without"
4"Her worn leather watch had"
5"It swallowed her shoes to"
6"She swept her coat aside"
7"He paused under a fire"
8"She had carried silence for"
9"It weighed more than a"
10"It moves when the moon"
11"She put everything into it:"
12"He spun at the mouth"
13"He lifted the bag an"
14"He touched the scar under"
15"His face changed."
16"He produced a pale token"
17"She thumbed it dead before"
18"He tilted his head, kind"
19"She had found salt in"
ratio0.26
66.30% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount100
totalSentences127
matches
0"Rain needled the Camden pavement"
1"Detective Harlow Quinn kept her"
2"Tomás Herrera moved like someone"
3"He cut left off Camden"
4"The Saint Christopher medallion bounced"
5"Her voice crossed the alley"
6"He didn’t look back."
7"A delivery moped snarled past,"
8"She stepped through it without"
9"Her worn leather watch had"
10"Herrera vaulted a chained gate,"
11"Quinn hit the gate hard"
12"It swallowed her shoes to"
13"She swept her coat aside"
14"He paused under a fire"
15"The name knocked the alley"
16"Quinn came off the wall"
17"Quinn drove after him, every"
18"Morris had left blood on"
19"The file said misadventure."
ratio0.787
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences127
matches(empty)
ratio0
90.91% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences55
technicalSentenceCount4
matches
0"A sign promising redevelopment by men who washed money through gyms."
1"The detective in her, the part decorated by men who had never missed a partner, catalogued exits: one stairwell, one lift shaft dead since the forties, one serv…"
2"Old adverts watched from behind grime: Bovril, Brylcreem, a woman smiling at a husband who had not come home."
3"Downstairs waited a market that moved under the full moon and sold forbidden things to people who no longer had legal names."
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
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences45
tagDensity0.022
leniency0.044
rawRatio0
effectiveRatio0
90.8606%