Run: 2026-04-24-01KQ0A3V3H8VNMS6GZZP1G07N8

Run Details

Duration:
6m 13s
Cost:
$0.057509
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's boot found the platform edge. The abandoned Tube station beneath Camden opened its throat, exhaling rust and stale water and something else—something copper-sweet that clung to the back of the teeth. She straightened. Her closely cropped salt-and-pepper hair caught the glare of the crime scene lamps. The leather watch on her left wrist itched. Three years since she had stood in a place that felt this wrong. Below the turnstiles, the curved platform stretched into blackness. Crime scene tape flapped at the platform's lip. A constable pointed his torch toward the wall, his face pale. The body sat against the tiles, legs splayed, chin resting on its chest. A man, mid-thirties, wore a charcoal suit that cost more than Quinn's monthly rent. Between his polished shoes, the concrete gleamed. Clean enough to eat from. Eva Kowalski crouched beside the corpse, curly red hair escaping from behind one ear. Her round glasses had slipped down her freckled nose. She didn't look up. Her worn leather satchel gaped open beside her knee, spilling books across the dust-choked concrete. "Three officers retched before you arrived." Eva tucked a coil of hair behind her left ear. Her voice carried the flat precision of someone who had catalogued the impossible and moved on to the next page. "I told them not to touch the compass. Their fingerprints cover the protective sigils." Quinn stepped closer. The victim's throat gaped. A single, deep incision. No blood stained the white shirt collar. No spray marred the black tiles behind him. The platform dust lay thick and undisturbed—except for the perfect circle of bare concrete where the body rested. Not a footprint inside it. Not a smudge. A forensic technician gestured with a camera from the platform's far end. "Suicide. Or a bad drug deal. These old stations attract the wrong crowd. Someone cuts a throat, panics, drops the merchandise. Standard Camden underground." Eva lifted the small brass compass with a gloved hand. Verdigris mottled its casing. The face caught the light, etched with symbols that slid from direct gaze. "This was crafted by a Shade artisan. It is not tourist junk." "Put it down." The technician zipped his kit. "Evidence goes in a bag, not a museum lecture." Quinn ignored them both. She crouched. The victim's hands were folded in his lap, neat as a prayer, composed as a cathedral statue. She examined his shoes. Italian leather. No scuffs. No mud. She examined the wall behind him. The sigils were not paint. They were gouges in the ceramic tile, ancient, filled with a black residue that smelled of ozone. She examined his eyes. The pupils were fixed, dilated, but the corneas held no cloud. He appeared freshly dead, yet rigor had locked his limbs solid. She touched the floor. The dust outside the circle was a blanket, soft as ash. It coated everything—the rails, the discarded ticket machine, the fire extinguishers—except the circle. The boundary was sharp. Not swept. Not vacuumed. Erased. She ran her finger across the bare concrete inside the ring. It felt smooth as glass, cold, humming with a vibration that traveled up her bones. "There's no transfer." Quinn straightened. The technician lowered his camera. "What?" "On his shoes. On his clothes." Quinn walked the perimeter, her torch beam stripping the darkness back. "No drag marks. No footprints leading in. No arterial spatter on the ceiling, the walls, the adjacent floor. A wound like that would paint the room. The collar would be soaked. The suit jacket would carry mist. There is nothing." "So he was killed in another place and dropped." "By what? A crane?" Quinn turned. "No rope burns on the wrists. No compression on the shoulders. No soil from a vehicle boot. He was not carried. He was not dragged. He arrived without walking." "Ritual, then." The technician shrugged. "Your consultant is right about that much. Some cult kills him upstairs, dresses the scene." "The suit has no creases." Quinn lifted the victim's right hand by the wrist. The nails were manicured, clean. "No dirt from a struggle. No defensive wounds. He did not fight. He sat here, folded his hands, and let someone open his throat. Does that sound like a drug deal?" Eva looked up. Green eyes flashed behind her lenses. "The Veil Market moves locations every full moon. Last night was the full moon." "Markets don't move corpses." "No. But they leave them behind when the rift closes." Quinn took the compass from Eva's gloved fingers. The brass radiated heat in her palm, a temperature that belonged to flesh, not metal. The needle did not point north. It trembled, angling toward the dark tunnel mouth, pulling against its housing like a hound straining at a leash. She turned, tracking its tug. The needle followed the tunnel. She looked up. Water stains mapped the arched ceiling, blooming in patterns that matched the sigils etched on the compass face. "Your consultant sees demons." The technician snapped a glove. "I am logging a gangland dumping. Unidentified victim, throat slashed, dumped in a hole. File it under Camden lowlife. It happens every week." Quinn walked to the tunnel entrance. The air there tasted colder, metallic. She held the compass at arm's length. The needle jerked, spinning once, then locking toward the blackness. Toward the nearest rift. Toward wherever the Market had gone. She looked back at the body. At the circle. At the dust. "He died here." Quinn's voice carried through the damp air. "On this precise spot. But this spot was not a platform twelve hours ago." Silence swallowed the station. The technician stopped moving. "The dust is undisturbed because nothing human walked here after the shift." Quinn returned to the circle. She pointed the compass toward the clean concrete. The needle swung wildly, then steadied, pointing at the victim's chest. "This circle was not empty space. It was occupied. A stall. A booth. A pocket of the Market that existed in this station until the moon turned." Eva's breath caught. "When the Market moves, the rift collapses. The physical space reverts." "Yes." Quinn's jaw tightened. She knelt and eased the victim's hands apart. Between his rigid fingers, something white protruded. She freed it. A bone token, carved with a spiral. Entry requirement. She held it up to the lamp. "He was inside when he died. The Market took the blood. Took the killer. Took every trace of struggle. It spat out the body because the body had no value." The technician laughed, a high nervous sound that echoed off the tiles. "You are saying a black market teleported and left a corpse?" "I am saying the evidence does not add up because you are looking at what is left." Quinn pocketed the token. Her fingers found her leather watch, the strap worn soft against her skin. "You see an empty station. I see a crime scene that no longer exists in this dimension." Eva stood. Her satchel slid from her shoulder, books thumping against her hip. She stared at Quinn, mouth open. "DS Morris." Eva's voice dropped to a whisper. "Three years past. The unexplained circumstances." Quinn's thumb traced the watch's face. Morris had died in a warehouse that smelled of rust and ozone. A warehouse that had been empty for decades, yet the forensics showed signs of fresh occupancy. A warehouse where the dust lay undisturbed around a single clean patch. A warehouse where the blood had stopped existing. "Find me the next location of this Market," Quinn said. The compass needle spun, hungry, pointing toward the dark.
created_at"2026-04-24T17:55:30.56Z" 4/24/2026, 5:55:30 PM
model"moonshotai/kimi-k2.6-20260420"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1154
moderation_latency(null)
generation_time372479
tokens_prompt1149
tokens_completion16382
native_tokens_prompt1022
native_tokens_completion14185
native_tokens_completion_images(null)
native_tokens_reasoning14437
native_tokens_cached256
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"
usage0.05750866
router(null)
provider_responses
0
endpoint_id"90b5957c-b5ba-485a-9b23-d3e9a8abffc1"
id"chatcmpl-69ebae931c32d44868f3c7e7"
is_byokfalse
latency1154
model_permaslug"moonshotai/kimi-k2.6-20260420"
provider_name"Moonshot AI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777053330-b3wg0N0eCweDIbSNWftg"
session_id(null)
api_type"completions"
id"gen-1777053330-LcRbWJ2yWhTnKbt2IVYR"
upstream_id"chatcmpl-69ebae931c32d44868f3c7e7"
total_cost0.05750866
cache_discount0.00020224
upstream_inference_cost0
provider_name"Moonshot AI"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags14
adverbTagCount0
adverbTags(empty)
dialogueSentences35
tagDensity0.4
leniency0.8
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1263
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)
64.37% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1263
totalAiIsms9
found
0
word"perfect"
count1
1
word"standard"
count1
2
word"etched"
count2
3
word"trembled"
count1
4
word"silence"
count1
5
word"echoed"
count1
6
word"whisper"
count1
7
word"traced"
count1
highlights
0"perfect"
1"standard"
2"etched"
3"trembled"
4"silence"
5"echoed"
6"whisper"
7"traced"
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
narrationSentences109
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences109
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences130
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen40
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1259
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
33.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions30
wordCount832
uniqueNames7
maxNameDensity2.04
worstName"Quinn"
maxWindowNameDensity4
worstWindowName"Quinn"
discoveredNames
Tube1
Camden1
Quinn17
Kowalski1
Eva8
Market1
Silence1
persons
0"Camden"
1"Quinn"
2"Kowalski"
3"Eva"
4"Market"
5"Silence"
places(empty)
globalScore0.478
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences63
glossingSentenceCount1
matches
0"appeared freshly dead yet rigor had locked his limbs solid"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1259
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences130
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs38
mean33.13
std21.58
cv0.651
sampleLengths
068
128
239
342
450
552
636
739
817
987
1063
115
126
1357
149
1535
1620
1750
1823
194
2010
2158
2221
2332
2439
2512
2624
278
2863
2914
3068
3123
3251
3319
3414
3554
3610
379
98.83% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences109
matches
0"were folded"
1"were manicured"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs148
matches(empty)
76.92% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences3
totalSentences130
ratio0.023
matches
0"The abandoned Tube station beneath Camden opened its throat, exhaling rust and stale water and something else—something copper-sweet that clung to the back of the teeth."
1"The platform dust lay thick and undisturbed—except for the perfect circle of bare concrete where the body rested."
2"It coated everything—the rails, the discarded ticket machine, the fire extinguishers—except the circle."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount841
adjectiveStacks0
stackExamples(empty)
adverbCount13
adverbRatio0.015457788347205707
lyAdverbCount5
lyAdverbRatio0.005945303210463734
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences130
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences130
mean9.68
std6.89
cv0.711
sampleLengths
06
126
22
313
48
513
69
78
811
913
1014
117
125
1314
149
154
1615
1716
1820
1914
203
214
224
237
248
2518
265
273
2812
2924
3010
314
3213
3312
348
359
364
372
3817
394
402
412
422
436
445
4517
464
4711
4811
494
47.95% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats11
diversityRatio0.3384615384615385
totalSentences130
uniqueOpeners44
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences96
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount26
totalSentences96
matches
0"Her closely cropped salt-and-pepper hair"
1"Her round glasses had slipped"
2"She didn't look up."
3"Her worn leather satchel gaped"
4"Her voice carried the flat"
5"She examined his shoes."
6"She examined the wall behind"
7"They were gouges in the"
8"She examined his eyes."
9"He appeared freshly dead, yet"
10"She touched the floor."
11"It coated everything—the rails, the"
12"She ran her finger across"
13"It felt smooth as glass,"
14"It trembled, angling toward the"
15"She turned, tracking its tug."
16"She looked up."
17"She held the compass at"
18"She looked back at the"
19"She pointed the compass toward"
ratio0.271
32.92% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount82
totalSentences96
matches
0"Quinn's boot found the platform"
1"The abandoned Tube station beneath"
2"Her closely cropped salt-and-pepper hair"
3"The leather watch on her"
4"Crime scene tape flapped at"
5"A constable pointed his torch"
6"The body sat against the"
7"A man, mid-thirties, wore a"
8"Eva Kowalski crouched beside the"
9"Her round glasses had slipped"
10"She didn't look up."
11"Her worn leather satchel gaped"
12"Eva tucked a coil of"
13"Her voice carried the flat"
14"Quinn stepped closer."
15"The victim's throat gaped."
16"A single, deep incision."
17"The platform dust lay thick"
18"A forensic technician gestured with"
19"Eva lifted the small brass"
ratio0.854
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences96
matches(empty)
ratio0
98.21% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences32
technicalSentenceCount2
matches
0"Her voice carried the flat precision of someone who had catalogued the impossible and moved on to the next page."
1"A warehouse that had been empty for decades, yet the forensics showed signs of fresh occupancy."
89.29% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags14
uselessAdditionCount1
matches
0"Quinn walked, her torch beam stripping the darkness back"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount1
fancyTags
0"The technician snapped (snap)"
dialogueSentences35
tagDensity0.057
leniency0.114
rawRatio0.5
effectiveRatio0.057
84.7272%