Run: 2026-11-11-01M754JAWF8TZZKJMNG2SJHB7Y

Run Details

Duration:
23.2s
Cost:
$0.006108
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
Quinn ducked under police tape at the mouth of the ruined stairwell and left the rain behind her. Her boots found wet concrete and dropped her into dark that swallowed the platform edge. Somewhere below Camden, an abandoned Tube station breathed cold air through a broken vent and dripped water onto rusted rails. Quinn checked her worn leather watch on her left wrist and logged the hour in her notebook with exact strokes of her pen. "You missed the bone token at the gate, Detective Quinn." Eva Kowalski stood beside a line of empty stalls with her worn leather satchel full of books slung across her shoulder. Round glasses fogged at the rims and her curly red hair stuck to freckles across her nose and cheeks. She tucked hair behind her left ear and stared past Quinn toward the platform wall. "The Veil Market runs down here on a full moon and shifts ground after each one. The bone token buys entry. No token, no leak." "I climbed down a service stair, Eva. I bypassed your gate." Quinn lifted her torch and swept the beam across stall frames draped in canvas and stacked crates. Chains hung overhead. Glass bottles glittered on shelves. A brass scale sat frozen mid-balance on a scarred counter. Smell hit her next: sulfur, dried herbs, and old pennies. "Show me the body." Eva crossed to the track bed and pointed with her chin. She pushed her glasses higher on her nose and stepped around a puddle of black liquid. "He fell there. The blood pooled under him and the pool dried at the edges." Quinn crouched beside the pool and held her torch low. The man lay on his side in a secondhand coat with one hand closed around an empty glass bottle. His jaw showed stubble. His eyes faced the wall. Quinn marked the position of his shoulders and knees with small flags and wrote each distance in her notebook. "Blood spatter climbs the stall leg behind him. The pattern fans toward the ceiling from floor level." "Spatter from a cut throat fans toward the ceiling when a man stands." Quinn rose and circled the stall leg. The leg bore no notch and the floor boards around the pool bore no drag marks. The coat hung clean across the back. The man's shoes showed no scuff on either sole. "A standing man bleeds down his chest. A falling man bleeds into his coat. This coat holds no blood on the back." "The Market rule: a seller bleeds on his own stall. The rule protects the buyer beside him." Quinn placed her palm beside the man's head and measured the distance to the stall leg with her fingers. Her sharp jaw tightened. She pressed her mouth into a line and stepped back for a wider view. The platform wall stood fifteen feet from the stall. "He lay fifteen feet clear of the wall and the spatter hits at knee height. No fall throws blood that way." "Then a rift threw him." Eva pushed her satchel deeper against her hip and opened the flap with both hands. Books knocked against her elbow. Tucked paper slips stuck out between pages. She lifted a brass disc from inside the satchel and held it toward Quinn under the torchlight. "A Veil Compass. A Shade artisan etched sigils into the face and set the needle to find a rift or portal close at hand." "Give it here." Eva placed the compass in Quinn's palm. The casing bore a patina of verdigris around the rim. The needle trembled and settled west toward the platform wall. "The needle points at solid brick." "A rift points back. The needle points toward it." Quinn turned in a slow circle on the platform. The needle swung with her movement and returned to the wall each time. Quinn walked the length of the platform and watched the needle hold its line. At the far end the needle jerked and spun full circle. "It spins at the service stair. It settles at the brick." "The Market shifted ground this morning. The stalls moved before sunrise." Quinn stopped and faced Eva. Height gave Quinn a clear view over Eva's head. Eva tilted her face up and tucked hair behind her left ear. The torch beam caught green in her eyes behind round glasses. "I filed records at the British Museum last week from the restricted archives. The Market leaves a mark on brickwork after each shift. A survey team marked this wall in March." "Oxford trained you for that haul. The Met trained me to distrust a clean scene. Show me the mark." Eva pulled a folded map from her satchel and spread it against a crate. Her finger traced a blue line along the platform edge. Quinn leaned close and followed the line with her eyes. "This line marks the old tunnel mouth. Builders bricked the mouth shut in the last century. The Market uses the brick face as a gate." "A gate needs a token and a keeper. The body holds neither." Quinn returned to the body and crouched beside the secondhand coat. She searched each pocket with two fingers and found lint in one and a folded receipt in the other. The receipt bore a date stamp for tonight and a price in coins. Quinn flattened the paper on her notebook and read the stall number printed at the top. "Stall nine. The stall leg behind him carries no number. The stall across the track carries nine." "Then he switched stalls after the shift. Sellers switch stalls when trade turns bad." Quinn stood and crossed the track bed in three strides. The stall across the track bore a brass nine nailed above the counter. Bottles stood in a row behind the counter. One shelf held no dust around the bases of the bottles. Quinn ran her thumb along the shelf and lifted a thin ring of dust. "Dust coats every shelf except the low shelf. Someone lifted stock from here today." "The Market sold out by eleven. The police logged the first call at midnight." Quinn dropped her torch beam to the floor between the stall and the service stair. A single set of boot prints cut through dust on the boards. The prints entered from the stair, stopped beside the body, and left toward the stair. Heels dug deep at each step. No prints crossed toward the brick wall. Dust on the bricks at compass height lay undisturbed in a solid sheet. Quinn held the Veil Compass over the dead man's coat. The needle jerked from the wall and pointed down at the lining. Quinn turned the coat inside out with both hands. The lining bore a stitch pattern in black thread and a bone token sewn into the hem with the same thread. "The needle tracks the token. The token carries rift energy from the gate." "That coat marks a keeper, not a seller. The gate recognizes the token in the lining." Quinn stared at the empty bottle in the man's hand and at the spatter on the stall leg. She measured the height of the fan with her fingers and matched it against the low shelf across the track. The bottle neck showed a clean break and no blood inside. "He never bled here." "Someone poured blood from that bottle and set his body at stall nine."
created_at"2026-11-11T11:05:55.349Z" 11/11/2026, 11:05:55 AM
model"meta/muse-ember-20261109"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1323
moderation_latency(null)
generation_time23187
tokens_prompt1112
tokens_completion1986
native_tokens_prompt1036
native_tokens_completion12009
native_tokens_completion_images0
native_tokens_reasoning10332
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"default"
usage0.0061081
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer(null)
request_id"req-1794395155-JJyYOv9oOVwo9Uwz0FID"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1794395155-cNJoL7y4VyKIaH4G3iHF"
upstream_id"resp_6af44c1366d7a0d141444de9"
provider_responses
0
endpoint_id"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id"resp_6af44c1366d7a0d141444de9"
is_byokfalse
latency621
model_permaslug"meta/muse-ember-20261109"
provider_name"Meta"
status200
total_cost0.0061081
cache_discount(null)
upstream_inference_cost0
provider_name"Meta"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1234
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)
79.74% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1234
totalAiIsms5
found
0
word"measured"
count2
1
word"etched"
count1
2
word"trembled"
count1
3
word"traced"
count1
highlights
0"measured"
1"etched"
2"trembled"
3"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
narrationSentences67
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences67
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences96
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
totalWords1234
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
9.41% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions36
wordCount818
uniqueNames7
maxNameDensity2.81
worstName"Quinn"
maxWindowNameDensity4.5
worstWindowName"Quinn"
discoveredNames
Camden1
Tube1
Kowalski1
Quinn23
Eva8
Veil1
Compass1
persons
0"Kowalski"
1"Quinn"
2"Eva"
places
0"Compass"
globalScore0.094
windowScore0.167
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences60
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1234
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences96
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs46
mean26.83
std18.88
cv0.704
sampleLengths
076
110
255
325
411
545
64
727
815
957
1017
1113
1239
1322
1417
1546
1621
175
1844
1924
203
2127
226
239
2447
2511
2611
2737
2831
2919
3034
3125
3212
3359
3417
3514
3656
3714
3814
3968
4052
4113
4216
4349
444
4513
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences67
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs122
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences96
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount819
adjectiveStacks0
stackExamples(empty)
adverbCount6
adverbRatio0.007326007326007326
lyAdverbCount1
lyAdverbRatio0.001221001221001221
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences96
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences96
mean12.85
std5.58
cv0.434
sampleLengths
018
115
220
323
410
521
619
715
825
911
1017
113
125
1310
1410
154
1611
1716
1815
1910
2019
214
225
2319
2417
2513
267
2716
287
299
3022
3117
3219
334
3414
359
3621
375
3815
395
407
4117
4224
433
447
4510
4610
476
489
499
54.51% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.3645833333333333
totalSentences96
uniqueOpeners35
49.75% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences67
matches
0"Somewhere below Camden, an abandoned"
ratio0.015
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount11
totalSentences67
matches
0"Her boots found wet concrete"
1"She tucked hair behind her"
2"She pushed her glasses higher"
3"His jaw showed stubble."
4"His eyes faced the wall."
5"Her sharp jaw tightened."
6"She pressed her mouth into"
7"She lifted a brass disc"
8"Her finger traced a blue"
9"She searched each pocket with"
10"She measured the height of"
ratio0.164
4.78% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount61
totalSentences67
matches
0"Quinn ducked under police tape"
1"Her boots found wet concrete"
2"Quinn checked her worn leather"
3"Eva Kowalski stood beside a"
4"She tucked hair behind her"
5"Quinn lifted her torch and"
6"Chains hung overhead."
7"Glass bottles glittered on shelves."
8"A brass scale sat frozen"
9"Smell hit her next: sulfur,"
10"Eva crossed to the track"
11"She pushed her glasses higher"
12"Quinn crouched beside the pool"
13"The man lay on his"
14"His jaw showed stubble."
15"His eyes faced the wall."
16"Quinn marked the position of"
17"Quinn rose and circled the"
18"The leg bore no notch"
19"The coat hung clean across"
ratio0.91
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences67
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences48
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
86.6065%