Run: 2026-07-25-01KYD555SR9VRKJ06FHN573H4K

Run Details

Duration:
24.4s
Cost:
$0.014728
Provider:
Meta

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
The service door behind Camden High Street gave onto a throat of wet concrete that dropped straight down. Harlow Quinn ducked under the tape and the air changed. Diesel and damp and rot cut off. A different cold bled out from below, dry as paper. The abandoned platform stretched out under a vaulted ceiling gone black with soot. Tiled walls wept. A single string of work lights swayed, threw hard shadows over market stalls that should not have been there. Wooden crates stacked like teeth. Jars without labels. A table of bones wired together into small, ugly birds. The Veil Market. It was not supposed to be here until next full moon. A uniform held a torch too tight. Eva Kowalski stood beyond him, tucked into her own shoulders, her worn leather satchel clutched against her ribs. Her curly red hair caught the light. Her round glasses slipped. She pushed them up. "You called her?" DC Patel kept his notebook open, his face pale under the fluorescents. He did not meet Quinn's eye. "She was already here. Said you asked her to consult. I didn't let her touch anything." Quinn's jaw set. The leather of her watch strap creaked as she flexed her left wrist. Midnight. The second hand pinned at twelve. "Who found him?" Eva's freckles stood out. She tucked hair behind her left ear, fingers quick. "I did. I track when the Market shifts. It moved twelve days early. That's never—" "Jesus, Evie." Patel stepped around the body. A young man, early twenties, flat on his back between a stall selling salt in black lumps and one selling teeth. No coat despite the cold. His hands were empty, palms up. His eyes were open, pupils blown wide, fixed on the tunnel roof. No blood. No wound. No vomit. No sign of struggle. "Clear OD," Patel said. "See the lips? Blue. Kids come down here for a thrill, score something from these freaks. Bad batch. Happens." Quinn crouched. Her knees popped. Military precision in the way she held her torch low, angled across the tiles. The dead man's lips were not blue. They were white, bloodless. His skin held a waxy sheen. Frost rimmed his nostrils. The platform was cold, but not that cold. "What did he take?" Patel flipped a page. "No paraphernalia. No wallet. Pockets turned out. Probably robbed after he dropped." Quinn's torch beam caught something on the concrete beside the man's right hand. A smear, half-wiped. Not blood. Chalk. A curve, deliberate, then a sharp line cut through it. "He was not robbed and he was not using." "Harlow—" "He has soft hands. No track marks. No burn on his fingers. His shoes are new. Laced tight. Double knotted. Nobody ties shoes like that when they're high." Patel shifted his weight. "So someone dumped him here. Gang thing. Look at this place. You want to hide a body, perfect spot." Eva took a half-step forward. The uniform blocked her. She hugged the satchel tighter. "It's not a dump site. The Market protects its own." Quinn ignored her. She leaned in closer to the body. The boy's left fist was clenched. White at the knuckles. She reached for her gloves, snapped latex over her hands, and prised his fingers open. Inside lay a small disk of bone, yellowed, a hole drilled through the centre. A sigil carved onto its face, half worn away. Patel frowned. "Transit token? Joke shop?" "A bone token," Eva breathed. "For entry. You need one to cross in without being claimed. Where did he get that?" Quinn set the token down on her own palm. It was warm. That was wrong. Everything down here leached heat, but the token held it. "Patel, when was this station decommissioned?" "1972? 73?" "So no air moves for fifty years. Explain the frost in his nose. Explain these." She stood and swung her torch up. Above them, the market stalls cast long lines. Between the lines, on the tiles themselves, fresh prints showed in dust that lay thick enough to write names in. Only two sets. One pair, small, Eva's boots, scuffed at the toe. The other, larger, the victim's trainers, toe-first, as if he ran in. No drag marks. No other prints. No police boot treads until Patel's. "No one robbed him because no one else stood here. So why are his pockets turned out?" Patel stared at the dust. "Wind?" "Underground?" Eva crouched now, though the uniform made a sound. She tugged at the satchel, pulled out a small brass compass. Verdigris crusted the casing, green as rot. The face beneath the glass was not marked with north or south but with tight, interlocking sigils. The needle spun, fast, then stuttered, then spun again. "You brought that down here." Eva did not look up. "It pointed me here. Something tore." "The needle lies," Patel said. "It's broken." Quinn took the Veil Compass from Eva's hand. The brass was cold enough to bite. The sigils etched around its rim were familiar. She had seen them three years before, scored into the wall behind DS Morris where he lay with his eyes open and his watch stopped at midnight. Same watch, same hour, same failure to add up. The reports said heart attack. She had never believed them. The needle shuddered and fixed. Not north. It pointed straight down at the chalk curve by the dead man's hand, and at the boy himself. Quinn knelt again. She blew, slow, across the concrete. Dust lifted, showed more. The curve was part of a circle. A big one. Laid with care around the body, half erased by a gloved hand long after the dust settled. "He drew this," she said. "Then he tried to erase it." Patel lowered his notebook. "Why would he draw a circle around himself?" "Not around himself. He stood outside it. Look." Quinn traced the air above the chalk without touching. The arc completed behind the stalls, too perfect for freehand. At its edge, the salt stall's table leg cut the line. Someone had thrown that table down after. The boy's pockets. Not robbed. Turned out to hold the chalk. White dust caked the seams. White dust under his fingernails. "He tried to open something," Eva said, and her voice dropped to near nothing. "This is a summoning circle. Or it was. He flipped it. Inverted it to close." "Close what?" Quinn answered without looking at Patel. "What does your compass point to, Evie?" "Rifts. Places where the skin between is thin. Portals. The Market uses them to move." "And this one moved early." Quinn reached for the dead man's throat. Two small pinpricks marked the side, almost hidden in the crease. Not needle marks. Too far apart. The flesh around them was blanched, frozen. Eva saw them and made a noise. Patel leaned in. "Snake bite? Down here?" "No," Quinn said. "Something pulled heat out through here. Drained him. He knew. He tried to shut the door with salt and chalk and a bone token that did not belong to him." She lifted the watch on her wrist. The leather band was worn smooth from years. The second hand still stuck at twelve. It had stuck at twelve the night Morris died, and it had not ticked in this place since she stepped onto the platform. Patel's torch flickered. The string of work lights above swayed though no draught moved. "You think something killed him. Something from—" "I think he opened his mouth and let it feed because he thought he could control it." Eva clutched the compass. The needle trembled, then snapped to point directly at the dead man's open mouth, black and empty in the white face. "The circle is broken. If he inverted it wrong—" Quinn stood. Her brown eyes swept the platform again, past the stalls, to the mouth of the service tunnel where the dust lay thick and undisturbed. The other half of the chalk circle. The dust there was not empty. It held the imprint of bare feet, too long, too narrow, pointing out.
created_at"2026-07-25T17:28:51.778Z" 7/25/2026, 5:28:51 PM
model"meta/muse-spark-1.1-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency9379
moderation_latency(null)
generation_time24282
tokens_prompt1112
tokens_completion1962
native_tokens_prompt1164
native_tokens_completion3123
native_tokens_completion_images0
native_tokens_reasoning1282
native_tokens_cached0
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"completed"
service_tier"auto"
usage0.01472775
router(null)
provider_responses
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endpoint_id"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id"resp_6a64f254b41221c55c4a4b60"
is_byokfalse
latency216
model_permaslug"meta/muse-spark-1.1-20260709"
provider_name"Meta"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
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request_id"req-1785000531-bCljW10HDXX9HN4Q75fJ"
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api_type"completions"
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upstream_id"resp_6a64f254b41221c55c4a4b60"
total_cost0.01472775
cache_discount(null)
upstream_inference_cost0
provider_name"Meta"
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)
dialogueSentences43
tagDensity0.14
leniency0.279
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1347
totalAiIsmAdverbs0
found(empty)
highlights(empty)
80.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Patel"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
66.59% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1347
totalAiIsms9
found
0
word"blown wide"
count1
1
word"weight"
count1
2
word"perfect"
count2
3
word"etched"
count1
4
word"familiar"
count1
5
word"traced"
count1
6
word"flickered"
count1
7
word"trembled"
count1
highlights
0"blown wide"
1"weight"
2"perfect"
3"etched"
4"familiar"
5"traced"
6"flickered"
7"trembled"
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
narrationSentences133
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences133
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences170
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen30
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1347
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
78.64% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions51
wordCount981
uniqueNames12
maxNameDensity1.43
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Camden1
High1
Street1
Quinn14
Veil2
Market1
Kowalski1
Patel13
Eva11
Compass1
Morris2
White3
persons
0"Quinn"
1"Market"
2"Kowalski"
3"Patel"
4"Eva"
5"Morris"
places
0"Camden"
1"High"
2"Street"
3"White"
globalScore0.786
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences73
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1347
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences170
matches
0"thrown that table"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs76
mean17.72
std16.43
cv0.927
sampleLengths
018
127
267
340
43
518
616
723
83
913
1015
112
1259
1323
1419
1529
164
174
1812
1929
209
211
2228
234
2419
2514
2610
2735
2823
292
304
3121
3225
336
342
3515
3671
3717
385
391
401
4153
425
435
446
457
4669
4725
4840
4911
99.99% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences133
matches
0"was clenched"
1"was blanched"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs176
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences170
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount984
adjectiveStacks0
stackExamples(empty)
adverbCount25
adverbRatio0.02540650406504065
lyAdverbCount5
lyAdverbRatio0.00508130081300813
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences170
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences170
mean7.92
std5.78
cv0.73
sampleLengths
018
110
27
310
413
53
619
75
83
910
103
1111
127
1318
147
154
164
173
1812
196
2016
213
2213
231
246
253
264
279
2815
292
305
3121
325
336
3412
352
362
372
384
394
4019
412
423
4314
447
454
466
474
488
494
50.89% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.35502958579881655
totalSentences169
uniqueOpeners60
56.98% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences117
matches
0"Only two sets."
1"Too far apart."
ratio0.017
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount25
totalSentences117
matches
0"It was not supposed to"
1"Her curly red hair caught"
2"Her round glasses slipped."
3"She pushed them up."
4"He did not meet Quinn's"
5"She tucked hair behind her"
6"His hands were empty, palms"
7"His eyes were open, pupils"
8"Her knees popped."
9"They were white, bloodless."
10"His skin held a waxy"
11"She hugged the satchel tighter."
12"She leaned in closer to"
13"She reached for her gloves,"
14"It was warm."
15"She stood and swung her"
16"She tugged at the satchel,"
17"She had seen them three"
18"She had never believed them."
19"It pointed straight down at"
ratio0.214
54.02% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount95
totalSentences117
matches
0"The service door behind Camden"
1"Harlow Quinn ducked under the"
2"Diesel and damp and rot"
3"A different cold bled out"
4"The abandoned platform stretched out"
5"A single string of work"
6"Jars without labels."
7"A table of bones wired"
8"The Veil Market."
9"It was not supposed to"
10"A uniform held a torch"
11"Eva Kowalski stood beyond him,"
12"Her curly red hair caught"
13"Her round glasses slipped."
14"She pushed them up."
15"DC Patel kept his notebook"
16"He did not meet Quinn's"
17"Quinn's jaw set."
18"The leather of her watch"
19"The second hand pinned at"
ratio0.812
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences117
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences33
technicalSentenceCount1
matches
0"The other, larger, the victim's trainers, toe-first, as if he ran in."
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
totalTags6
fancyCount1
fancyTags
0"Eva breathed (breathe)"
dialogueSentences43
tagDensity0.14
leniency0.279
rawRatio0.167
effectiveRatio0.047
89.5703%