Run: 2026-11-11-01M753SB5P1A4H1K0CFSHJ16PW

Run Details

Duration:
29.0s
Cost:
$0.006290
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 rain hit the shutter over the Camden stairwell and slipped through a crack at the top. Water ran down the back of Harlow Quinn's jacket. She squeezed between shutter and brick and gripped the rail with a gloved hand. Iron rang under her palm. Twelve steps dropped into black. Cold air climbed the stairwell and smelled of wet stone and old iron. She counted the steps and landed on the platform. Torchlight caught the edge of police tape ahead of her. Stall frames filled the platform in two long rows. Canvas roofs sagged over split crates and scales and bottles and blackened lockboxes. Dust lay thick on the tiles. Trolley tracks cut through it in parallel lines. DC Marsh stood beside a pillar with a notebook in his hand and a pen capped between his fingers. Grey dust coated his shoes. He lifted the notebook at Quinn. "Trader. He stayed behind after shift change." "Trader?" "He worked the market. Full moon move. The rest packed up and left. This one stayed behind." Marsh tapped the notebook against his palm and glanced at the body at the base of the pillar. "Blood. He bled out on the platform. Knife job. Robbery. The stall behind him lost stock. The killer ran up the far stairs and left him in the open." Quinn pulled the cap from her head. Damp had pressed her cropped salt-and-pepper hair flat against her skull. She tucked the cap under her arm and crouched beside the dead man. Her sharp jaw tightened as she scanned the tiles from the pillar outward. The worn leather watch on her left wrist caught the torch beam. The man lay on his side with one arm under his head and the other folded across his chest. His fist gripped a small brass object. His coat carried dark grease along the cuff and a smear of pale paint at the shoulder. His shoes held no dust on the soles. His face showed no blow and his hands showed no cuts. Quinn pressed two fingers to the man's neck. Cold had settled through his skin and his clothes. She checked his coat pockets and found crumbs and a torn ticket stub and nothing else. She checked his trouser pockets. Lint. A bent key. No wallet. No phone. No bone token. "No token." Marsh frowned at the body. "He worked the market. He had a token in his pocket." "The gatekeeper checks at the stairs. Nobody enters the Veil Market without a bone token." Eva Kowalski waited outside the tape near the ticket barriers. Her leather satchel hung against her hip and pressed against three cloth-bound books inside. Red curls slipped from the band around them and fell over her freckled cheeks. Round glasses slipped down her nose. She pushed them up and tucked a curl behind her left ear. Her head reached Quinn's shoulder. "Holloway telephoned the Museum. He described burns on the forearm." "You recognize the burns." "The restricted archive holds the record. A Shade artisan marked his compass with the same sigil." Eva opened the satchel. Spines of the cloth-bound books pressed against the flap. She pulled a book free and held it open to a page with a drawing of a brass compass and a ring of marks around the face. Quinn crossed to the stall behind the body. A lockbox sat open on the counter. Ash filled the box to the rim. The ash surface held no fingerprint and no scrape. Bottles along the counter held labels in ink she did not recognize. A scale held a thin film of green dust. "The ash seals the box," Eva said. "A trader spreads it after trade. An untouched seal means no trade happened after the seal." Marsh shook his head at the lockbox. "Robbery takes stock. Somebody lifted the bottles and ran." Quinn ran her torch across the ash. The surface lay smooth from edge to edge. No hand had broken it. No tool had scraped it. "The seal stayed intact. The bottles remain on the counter. Robbery does not fit the stall." Marsh shifted his weight and looked at the blood under the man's jaw. "He lay there and bled. The pool proves it." Quinn lifted the man's head with one hand and supported his neck with the other. Blood had pooled under the jaw and spread in a dark sheet across the tiles. The surface of the pool shone in her torch beam. No drops marked the pillar behind him. No spray marked his coat. No trail marked the floor beside the pool. No dust broke the border of the sheet. "The pool sits on dust. A body that bled here would soak the dust first. Blood would darken the tiles under the dust. This blood arrived with him." Marsh bent over the pool and pointed his pen at the tiles. "He bled elsewhere and walked here. He walked through the dust on his own feet." Quinn stood and walked the length of the platform with her torch on the floor. Dust held a set of prints from the ticket barriers to the body. The prints belonged to a boot with a worn heel. A second set of prints ran from the body toward the tiled wall at the platform end. The left boot dragged at the heel. The prints stopped at the wall. No return prints crossed the dust. "Six prints to the wall. None back." "He ran for the stairs," Marsh said. "He jumped the barrier. He ran through the service tunnel." Quinn crouched at the ticket stub in the man's coat pocket. The stub held a date for that night and a stamp from Camden Town. The bent key had teeth cut for a small lock. The man's shoes held fresh grit wedged in the tread. Ballast stones. The platform held plaster and dust and no ballast. The tracks at the far end held rust and weeds and no fresh prints. "The stub shows a train ride tonight. The grit in his shoe came from a live line. His soles show no dust from this platform. His coat carries grease from a carriage side. The paint matches stock on the northern line." "He walked the tracks below," Marsh said. "He crossed from the live line and died here." Eva turned a page in the archive book. The drawing showed a train carriage with a stall frame bolted to its side and a ring of sigils painted above the door. "The market moves each full moon. The train carried the market last night. The compass rides with the artisan." Quinn pulled back the man's sleeve. Burns marked his forearm in a tight ring. The ring matched the drawing in Eva's book. The ring matched the brass object in his fist. "The sigils on the compass match the scar. The mark on his forearm matches both." Marsh narrowed his eyes at the burns and the compass. "Ritual, then. Market folk cut a deal and paid in blood. He died for the market." Quinn eased the brass object from the man's fist. The casing carried a green patina at the rim. Sigils covered the face in a tight ring. The needle inside swung loose and settled toward the wall. She turned her body a quarter turn. The needle followed her turn and settled back toward the same patch of tiles. "Veil Compass," Eva said. "A Shade artisan built it. The needle seeks the nearest rift." "Parlour trick," Marsh said. "The needle sticks." Quinn set the compass on a flat tile near the ticket barriers. The needle spun once and stopped. It pointed at the dark scar on the wall at the platform end. She picked up the compass and walked beside the stalls. The needle pulled toward the scar at every step. She set the compass on the tiles beside the body. The needle pointed at the scar. She set the compass beside the lockbox. The needle pointed at the scar. "Watch it move. The needle seeks a rift. The stairs hold no rift. The scar holds the rift." The scar marked a patch of mosaic tiles where glaze had flaked away. Soot ringed the patch in a broken circle. A drain grate sat above the scar and plaster sealed the grate at the corners. The sigils on the compass face matched the soot ring in count and shape. "So the market gate sits in that wall," Marsh said. "He entered through the gate and died here." "He entered through no gate. A token admits a living trader through the stairs. He carried no token. His shoes carried ballast from a live line. His blood sat on top of dust instead of in it. The pool arrived with him after death." "You say someone carried him in." "Someone placed him here after death. Someone walked from the scar to the body and walked back to the scar. The prints show the path. The prints stop at the scar." "The killer used the rift." Quinn crouched at the wall and held the compass beside the scar. The needle steadied and pointed at the center of the soot. She turned the brass casing in her fingers until the sigils on the face lined up with the marks in the tile. The torch beam threw the ring back at her in a broken circle. Six boot prints ended at her knees. The sixth print broke the soot at the edge and showed the drag of a worn heel. She pressed her palm flat against the tiles beside the sixth print and felt cold through her glove.
created_at"2026-11-11T10:52:16.447Z" 11/11/2026, 10:52:16 AM
model"meta/muse-ember-20261109"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2021
moderation_latency(null)
generation_time28996
tokens_prompt1112
tokens_completion2529
native_tokens_prompt1036
native_tokens_completion12373
native_tokens_completion_images0
native_tokens_reasoning10180
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"
usage0.0062901
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer(null)
request_id"req-1794394336-eDPLkBNEc6ILOCB2GYSG"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1794394336-R0OrQHOLvCjjL81Ejd0P"
upstream_id"resp_6af448e1bf1a4859fd1c41e8"
provider_responses
0
endpoint_id"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id"resp_6af448e1bf1a4859fd1c41e8"
is_byokfalse
latency671
model_permaslug"meta/muse-ember-20261109"
provider_name"Meta"
status200
total_cost0.0062901
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
totalTags6
adverbTagCount0
adverbTags(empty)
dialogueSentences37
tagDensity0.162
leniency0.324
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1605
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)
90.65% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1605
totalAiIsms3
found
0
word"scanned"
count1
1
word"weight"
count1
2
word"mosaic"
count1
highlights
0"scanned"
1"weight"
2"mosaic"
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
narrationSentences118
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences118
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences149
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen44
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1605
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
88.05% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions36
wordCount1130
uniqueNames7
maxNameDensity1.24
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Camden2
Harlow1
Quinn14
Marsh11
Kowalski1
Town1
Eva6
persons
0"Harlow"
1"Quinn"
2"Marsh"
3"Kowalski"
4"Eva"
places
0"Camden"
1"Town"
globalScore0.881
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences96
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1605
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences149
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs56
mean28.66
std23.34
cv0.814
sampleLengths
063
155
230
37
41
517
618
729
856
962
1049
112
125
1311
1415
1561
1610
174
1816
1940
2052
2123
227
239
2425
2516
2613
279
2868
2928
3012
3115
3274
337
3417
3570
3641
3716
3831
3919
4031
4115
4210
4316
4457
4515
467
4779
4818
4950
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences118
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs159
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences149
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1134
adjectiveStacks0
stackExamples(empty)
adverbCount7
adverbRatio0.006172839506172839
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences149
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences149
mean10.77
std6.53
cv0.606
sampleLengths
017
19
214
35
45
513
69
710
89
913
106
118
1219
135
146
157
161
1717
1818
1929
207
2111
2213
2313
2412
2519
267
2717
288
2911
308
319
3216
335
341
353
362
372
383
392
405
4111
4215
4310
4414
4514
466
4712
485
4910
34.23% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats24
diversityRatio0.30201342281879195
totalSentences149
uniqueOpeners45
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences108
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount22
totalSentences108
matches
0"She squeezed between shutter and"
1"She counted the steps and"
2"He lifted the notebook at"
3"She tucked the cap under"
4"Her sharp jaw tightened as"
5"His fist gripped a small"
6"His coat carried dark grease"
7"His shoes held no dust"
8"His face showed no blow"
9"She checked his coat pockets"
10"She checked his trouser pockets."
11"Her leather satchel hung against"
12"She pushed them up and"
13"Her head reached Quinn's shoulder."
14"She pulled a book free"
15"She turned her body a"
16"It pointed at the dark"
17"She picked up the compass"
18"She set the compass on"
19"She set the compass beside"
ratio0.204
38.70% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount91
totalSentences108
matches
0"The rain hit the shutter"
1"Water ran down the back"
2"She squeezed between shutter and"
3"Iron rang under her palm."
4"She counted the steps and"
5"Torchlight caught the edge of"
6"Canvas roofs sagged over split"
7"Dust lay thick on the"
8"Trolley tracks cut through it"
9"DC Marsh stood beside a"
10"He lifted the notebook at"
11"Marsh tapped the notebook against"
12"Quinn pulled the cap from"
13"She tucked the cap under"
14"Her sharp jaw tightened as"
15"The worn leather watch on"
16"The man lay on his"
17"His fist gripped a small"
18"His coat carried dark grease"
19"His shoes held no dust"
ratio0.843
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences108
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences53
technicalSentenceCount0
matches(empty)
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
fancyCount0
fancyTags(empty)
dialogueSentences37
tagDensity0.162
leniency0.324
rawRatio0
effectiveRatio0
88.3880%