Run: 2026-07-25-01KYD6YPB5W6949DG0BJBRDRAK

Run Details

Duration:
58.9s
Cost:
$0.021940
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
The man ran before Quinn even identified herself, and that told her everything. He'd been leaning against the bar at the Raven's Nest, green neon bleeding through the window onto his collar, when her badge caught the light. Now he was three streets ahead, trainers slapping wet pavement, and Quinn's knees filed their complaints with every stride. "Metropolitan Police! Stop!" He didn't. Of course he didn't. They never did. Rain needled down through the Soho dark, turning the cobbles off Berwick Street into black glass. The suspect cut left into an alley, knocking a stack of delivery crates sideways behind him. Quinn vaulted the toppled plastic, landed hard, felt the jar climb her shin. Eighteen years of this. Morris used to laugh at her form, arms too stiff, stride too short. Morris wasn't laughing anywhere now. "You're making this worse for yourself!" Her voice came back off the brick, thin and wasted. The man ducked under a fire escape, through a gate hanging off one hinge, and out onto Brewer Street where a night bus groaned past and nearly took him with it. He didn't break stride. Quinn did, one hand flat against the bus's wet flank, horn blaring in her ear, and then she was moving again, lungs burning with the cold. She'd come to the Nest on a whisper. A name, an address, a bar with a bookshelf that regulars never touched. Three months of watching the place from a Vauxhall with cold coffee, and tonight she'd finally walked in, and the man behind the bar had gone still as a photograph, and this one, this runner, had bolted before she finished saying good evening. Guilt had a smell. She'd followed worse on less. He turned north, toward Camden, and the streets widened and emptied. Rain sheeted off the awnings of shuttered shops. Quinn's radio crackled at her shoulder, some dispatcher asking for a position, and she thumbed it off. No backup for a hunch. She'd learned that paperwork lesson twice already. "Stop running and we talk! That's all I want!" The man glanced back. Young, soaked through, something clutched inside his jacket that he kept checking with his free hand. Not a weapon. He held it like a bird with a broken wing, careful, desperate. Quinn had chased armed men. This wasn't that shape of fear. This was the shape of a man protecting something. He reached the old station entrance, the one boarded up since before she made detective, and didn't slow down. The plywood barrier split around him like a curtain. She heard his footsteps change pitch, hollow now, descending. Quinn stopped at the mouth of it. Her torch beam cut into the dark and found tile, old green tile sweating with damp, and a stairwell dropping past where any public staircase should go. The boards he'd torn through hung splintered. Somewhere below, water dripped with the patience of geology. She keyed the radio back on. Static. She looked at the signal bars on her phone. None. "Brilliant." The sensible thing was a cordon, a call to the duty inspector, a warrant in the morning. The sensible thing had kept her desk clean and her commendations framed. The sensible thing hadn't found Morris's killer either. Three years of sensible, and the file sat in a cabinet stamped with a word nobody would say out loud: unresolved. The footsteps below had faded to nothing. He was getting away, or he was waiting. Quinn drew her torch in her left hand, kept her right free, and went down. The stairs ran longer than the station's footprint allowed. She counted forty steps, then sixty, then stopped counting because the number had started to feel like an argument she couldn't win. The tile changed halfway, Victorian green giving way to stone that looked older than the city above it, carved with marks her beam slid off without catching. Her watch face fogged. She checked it anyway, out of habit, out of the small superstition of a leather strap worn smooth. Half eleven. Then she heard music. Not station music. Not busker echo. A fiddle, a drum, and underneath it a murmur like a river in a pipe, hundreds of voices braided together. The stairwell opened without warning onto a platform that shouldn't exist, and Quinn stepped out and forgot, for one full breath, how to be a detective. The market sprawled along a dead tunnel in both directions, stalls built from scavenged doors and velvet and scaffolding poles. Lamps burned with flames that leaned the wrong way, toward her, as she passed. A woman with no shadow weighed out powders on a brass scale. A man in a butcher's apron hung jars from hooks, and the things in the jars watched Quinn walk by. Somewhere a goat screamed with a human throat. She kept her face the way she kept it in interview rooms. Flat. Unimpressed. Her heart hammered anyway. A child stood in front of her, holding out a hand. In the palm sat a small white token. Bone. "You need one of these to be here," the child said. "Everyone needs one. Rules." "I don't have one." "Then you're not here." The child's eyes reflected the lamplight like a cat's. "And if you're not here, you'll get lost. Lost ones don't go back up." Quinn scanned the crowd past the child, the stalls, the tunnel mouth breathing cold air from the deep line. No runner. No wet-haired young man with something precious in his jacket. Just a hundred strangers who had all, she realised with a slow crawl up her spine, turned to look at her. "I'm looking for someone. He came through just now. Soaked, dark hair, running." The child smiled. Too many teeth was a cliché she'd heard in war stories from coppers who drank too much. The child's teeth were fine. That was worse somehow. "Lots of people run down here," the child said. "That's what the Market's for. Things that can't run up there run down here." The bone token tilted in the small open palm. "Last chance, miss. Do you want to be here or not?" Behind the stalls, deep in the tunnel's throat, Quinn caught it. A flash of movement. Wet jacket. The runner, looking back at her one more time before the dark took him. Her radio hissed static. The stairs behind her seemed steeper than they had on the way down.
created_at"2026-07-25T18:00:16.491Z" 7/25/2026, 6:00:16 PM
model"moonshotai/kimi-k3-20260715"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2853
moderation_latency(null)
generation_time58877
tokens_prompt1104
tokens_completion1620
native_tokens_prompt1085
native_tokens_completion1430
native_tokens_completion_images(null)
native_tokens_reasoning62
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)
usage0.0219402
router(null)
provider_responses
0
endpoint_id"650c9b12-7b6d-444d-8d92-df8daef84d7a"
id"chatcmpl-6a64f9b1c12b87011d6509a5"
is_byokfalse
latency2853
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-1785002416-zAhHJqXVGxXa3I82VAJ7"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1785002416-TlyLXHz2CVNOqj8yxtdV"
upstream_id"chatcmpl-6a64f9b1c12b87011d6509a5"
total_cost0.0219402
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
totalTags4
adverbTagCount0
adverbTags(empty)
dialogueSentences13
tagDensity0.308
leniency0.615
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1072
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)
72.01% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1072
totalAiIsms6
found
0
word"whisper"
count1
1
word"footsteps"
count2
2
word"echo"
count1
3
word"velvet"
count1
4
word"scanned"
count1
highlights
0"whisper"
1"footsteps"
2"echo"
3"velvet"
4"scanned"
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
narrationSentences92
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences92
filterMatches
0"watch"
hedgeMatches
0"started to"
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
maxSentenceWordsSeen43
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1072
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
88.46% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions26
wordCount975
uniqueNames11
maxNameDensity1.23
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Quinn12
Raven1
Nest2
Soho1
Berwick1
Street2
Brewer1
Vauxhall1
Camden1
Morris3
Victorian1
persons
0"Quinn"
1"Morris"
places
0"Raven"
1"Nest"
2"Soho"
3"Berwick"
4"Street"
5"Brewer"
6"Vauxhall"
7"Camden"
globalScore0.885
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences60
glossingSentenceCount1
matches
0"seemed steeper than they had on the way down"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1072
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences101
matches
0"learned that paperwork"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs35
mean30.63
std23.49
cv0.767
sampleLengths
013
144
23
39
467
56
671
764
89
948
109
1155
1237
137
1443
1517
161
1758
1815
1915
2082
214
2252
2374
2418
2520
2615
274
2827
2952
3013
3129
3243
3331
3417
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences92
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs164
matches
0"wasn't laughing"
1"was waiting"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences101
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount976
adjectiveStacks0
stackExamples(empty)
adverbCount28
adverbRatio0.028688524590163935
lyAdverbCount2
lyAdverbRatio0.0020491803278688526
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
mean10.61
std7.79
cv0.734
sampleLengths
013
125
219
33
42
54
63
716
816
913
104
1113
125
136
1410
1531
164
1726
188
1913
2043
214
225
2311
248
2517
265
277
289
294
3016
313
3212
335
346
359
3619
379
389
397
4027
417
429
436
441
459
461
471
4817
4912
61.39% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.4158415841584158
totalSentences101
uniqueOpeners42
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount6
totalSentences83
matches
0"Of course he didn't."
1"Somewhere below, water dripped with"
2"Then she heard music."
3"Somewhere a goat screamed with"
4"Just a hundred strangers who"
5"Too many teeth was a"
ratio0.072
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences83
matches
0"He'd been leaning against the"
1"They never did."
2"Her voice came back off"
3"He didn't break stride."
4"She'd come to the Nest"
5"She'd followed worse on less."
6"He turned north, toward Camden,"
7"She'd learned that paperwork lesson"
8"He held it like a"
9"He reached the old station"
10"She heard his footsteps change"
11"Her torch beam cut into"
12"She keyed the radio back"
13"She looked at the signal"
14"He was getting away, or"
15"She counted forty steps, then"
16"Her watch face fogged."
17"She checked it anyway, out"
18"She kept her face the"
19"Her heart hammered anyway."
ratio0.253
68.43% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount65
totalSentences83
matches
0"The man ran before Quinn"
1"He'd been leaning against the"
2"They never did."
3"Rain needled down through the"
4"The suspect cut left into"
5"Quinn vaulted the toppled plastic,"
6"Morris used to laugh at"
7"Morris wasn't laughing anywhere now."
8"Her voice came back off"
9"The man ducked under a"
10"He didn't break stride."
11"Quinn did, one hand flat"
12"She'd come to the Nest"
13"A name, an address, a"
14"Guilt had a smell."
15"She'd followed worse on less."
16"He turned north, toward Camden,"
17"Rain sheeted off the awnings"
18"Quinn's radio crackled at her"
19"She'd learned that paperwork lesson"
ratio0.783
60.24% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences83
matches
0"Now he was three streets"
ratio0.012
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences40
technicalSentenceCount2
matches
0"The tile changed halfway, Victorian green giving way to stone that looked older than the city above it, carved with marks her beam slid off without catching."
1"The stairwell opened without warning onto a platform that shouldn't exist, and Quinn stepped out and forgot, for one full breath, how to be a detective."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences13
tagDensity0.154
leniency0.308
rawRatio0
effectiveRatio0
95.0179%