Run: 2026-11-11-01M753XY41W54SVBPN87JAVN4K

Run Details

Duration:
15.4s
Cost:
$0.002907
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="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
Rain hammered the awning over the Raven's Nest and spat back up from the gutter in a fine spray that stung Quinn's ankles. Detective Harlow Quinn stood under the eaves opposite the bar entrance and watched the green neon sign smear across the road. The sign reflected in every puddle between the shuttered shops of Soho and turned the whole street green at the edges. Her cropped salt-and-pepper hair lay plastered flat against her skull and rain ran in thin lines off her sharp jaw. Brown eyes narrowed on the glass door. She counted the faces inside the dim bar. She counted the exits. She checked the worn leather watch on her left wrist and wiped rain from its face with her thumb. Inside the Raven's Nest, the walls held old maps and black-and-white photographs under yellow bulbs. Silas poured a drink behind the bar and never looked at the back wall. The bookshelf beside the toilets clicked open and Tomás Herrera stepped out carrying a black medical bag. Quinn had watched the shelf for an hour. The clique used the hidden room for meetings and Tomás used it for patients the NHS refused to touch. He wore a Saint Christopher medallion around his neck and the metal flashed each time he moved his head. Warm brown eyes scanned the bar before he reached the door. He saw her on the pavement and his hand froze on the handle. The bag slipped on his shoulder. He pushed out into the rain and turned west without a pause. Quinn left the eaves and matched his stride for three steps before he broke into a run. "Police! Stop right there!" Her voice cut through traffic noise and the hiss of tyres on wet asphalt. Tomás cut through a gap between market stalls and knocked a stack of crates into the gutter. Cardboard burst and oranges rolled across the pavement. Quinn vaulted the crates and felt water soak through her coat at the knees. Her boots struck a drain cover and skidded. She caught herself on a lamppost and pushed off again. The medical bag bounced against his hip and the medallion slapped his collarbone in time with his steps. He slipped into the kitchen alley behind the Raven's Nest. Steam poured from a vent and hid his legs for a second. Quinn followed the steam and the clatter of his shoes on wet brick. Bins lined the alley and a cook in a white apron shouted from a back door. Tomás shoved a bin lid and the metal disc spun across the ground. Quinn dodged the lid and slammed a palm on the brick wall to keep her balance. Her left wrist hit the wall and the watch strap bit into skin. "You will put yourself in a hospital, Herrera!" She shouted the words and the alley threw them back at her. The cook pulled the back door shut. Tomás rounded the corner and vanished between two delivery vans. Quinn squeezed between the vans after him and scraped her shoulder on a wing mirror. Rain ran inside her collar and down her spine. The scar on his left forearm showed white where his sleeve rode up and rain flushed the skin around it. She had read the file on the knife attack. He had taken the blade in the forearm and kept working on the patient in the ambulance. He crossed a side road against the light and a black cab braked with a screech of wet rubber. The driver leaned on the horn. Quinn crossed in front of the cab and raised a hand. The driver waved her through with a furious gesture. Tomas gained half a street on her while she waited for the cab to pass. Her chest burned. Her boots filled with water and made each step heavier. She pulled her phone from her pocket at the corner. The screen showed no signal inside the rain and the tunnel of tall buildings. She shoved the phone back into her pocket and ran. "That bag puts you in prison!" Tomás glanced over his shoulder and his curly hair dripped into his eyes. He wiped his face with a forearm and kept his pace. "You do not even know what is inside it!" He took a tight turn into a lane that smelled of bus exhaust and fried onions. Shopkeepers had pulled metal shutters down for the night and the shutters rang under the rain. Quinn counted doorways as she ran. Three closed cafes. One launderette with lights still on. A doorway where a couple huddled under a newspaper. She breathed through her mouth and forced her legs to lengthen. Military precision held her stride together when her body wanted to fold. She had chased runners through worse rain and she had chased runners through worse alleys. A lorry reversed out of a service yard and blocked the lane. The driver stared at the reversing camera and missed both of them. Tomás slid past the lorry bumper and vanished around its side. Quinn slapped the back of the lorry once and climbed over a stack of pallets beside it. Wood scraped her shins through her trousers. The medical bag strap snagged on the lorry mirror and jerked him sideways. He recovered and kept moving. A bottle fell from the bag and smashed on the wet stone. Glass scattered and Quinn stepped around the shards without breaking pace. "Drop the bag and talk!" He did not drop the bag. He tightened his grip on it instead. "Talking gets my patients killed!" The lane opened onto a main road with late buses and taxis. Headlights swept the rain and threw long shadows across the pavement. Tomás ran for a gap in traffic and Quinn ran for the same gap. A bus driver braked and the bus hissed to a stop. Quinn tapped the bus door twice. The driver opened it and Quinn jumped onto the wet steps for one second to cross the road, then jumped down on the far pavement. Tomás had crossed ahead of the bus and now ran north through a crowd outside a theatre. People spilled from the doors with programmes in their hands and umbrellas tipped against the wind. Quinn pushed through the crowd with her warrant card held high. She called her name and rank through the noise. Strangers parted and closed behind her. Tomás knocked an umbrella from a man's hand and the man swore at his back. The umbrella rolled into Quinn's path and she stepped on its spokes. The spokes bent and the umbrella folded under her weight. She stumbled and caught a stranger's elbow. The stranger yanked his arm free and shouted. Quinn righted herself and sprinted after Tomás, who had reached the end of the street and turned toward Camden. The rain grew heavier. It drummed on bus shelters and on the hoods of parked cars and turned the pavements into black mirrors. Quinn's coat hung heavy on her shoulders. Her hair dripped into her eyes and she blinked the water away. Her jaw ached from clenched teeth. The worn leather watch on her left wrist had soaked through and the strap darkened. She glanced at the time out of habit and saw the hands blur under rain. Three years ago DS Morris had checked his watch in a stairwell of a building in Hackney and had told her to wait on the landing. She had heard his boots stop below her and then she had heard no boots at all. She had gone down the stairs with her torch and found the stairwell empty and a door open to the street. She carried that silence into every chase since. Tomás slowed at the entrance to an abandoned Tube station beneath Camden. Rusted gates hung on broken hinges. A chain stretched between two posts and a faded sign warned of danger and listed no trains. The platform below sank into darkness and the air that rose from it smelled of mould and candle wax. Tomás pulled a white bone token from his pocket and held it up to nobody Quinn could see. A shape moved behind the gate. The shape accepted the token and stepped aside. Tomás slipped through the gate and down the first steps. He looked back once and his face showed in the light from a streetlamp. "Do not come down here!" His voice carried up from the stairwell and echoed off concrete. Quinn reached the gate and found a white bone token on the wet ground where his pocket had spilled it. She picked it up. The bone felt cold and smooth in her palm. The gatekeeper behind the bars watched her hand and said nothing. He wore a long coat and his eyes reflected the streetlamp like an animal's eyes. Stalls glowed below in the station. Lamps burned on tables. People moved between the stalls and handled jars and bundles and strange instruments. A woman lifted a bottle and the liquid inside caught the candlelight and threw blue light across her face. A man laid out teeth in neat rows on a cloth. The market chatter rose up the stairwell in three languages and laughter cut through the rain noise. Quinn stood at the top of the steps with rain streaming off her shoulders. Her warrant card sat in her pocket and meant nothing below the gate. Her phone showed no signal. Her radio crackled once with static and fell silent. The market moved locations every full moon and the full moon hung behind cloud over Camden. Tomás was already halfway down the stairs with his medical bag. The gatekeeper held out a hand for the bone token. Quinn looked at the token. She looked at the stairs. She looked at the worn leather strap on her wrist and at the empty landing in her memory where Morris's boots had stopped. She gave the gatekeeper the bone token and stepped through the broken gate. She put her boot on the first step down into the Veil Market.
created_at"2026-11-11T10:54:46.919Z" 11/11/2026, 10:54:46 AM
model"meta/muse-ember-20261109"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1415
moderation_latency(null)
generation_time15367
tokens_prompt1104
tokens_completion2437
native_tokens_prompt1004
native_tokens_completion5613
native_tokens_completion_images0
native_tokens_reasoning3539
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"
usage0.0029069
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer(null)
request_id"req-1794394486-ZDqnKNqixBtCG8pGZeEK"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1794394486-J8pFZNco4IuT1KKD0Uhh"
upstream_id"resp_6af449776de903e53a02451f"
provider_responses
0
endpoint_id"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id"resp_6af449776de903e53a02451f"
is_byokfalse
latency577
model_permaslug"meta/muse-ember-20261109"
provider_name"Meta"
status200
total_cost0.0029069
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)
wordCount1681
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)
82.15% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1681
totalAiIsms6
found
0
word"scanned"
count1
1
word"down her spine"
count1
2
word"weight"
count1
3
word"silence"
count1
4
word"echoed"
count1
5
word"streaming"
count1
highlights
0"scanned"
1"down her spine"
2"weight"
3"silence"
4"echoed"
5"streaming"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes narrowed"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences134
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount0
narrationSentences134
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences141
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen26
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1681
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions58
wordCount1639
uniqueNames15
maxNameDensity1.4
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Raven3
Nest3
Quinn23
Harlow1
Soho1
Tomás15
Herrera1
Saint1
Christopher1
Camden3
Morris2
Hackney1
Tube1
Veil1
Market1
persons
0"Raven"
1"Quinn"
2"Harlow"
3"Tomás"
4"Herrera"
5"Saint"
6"Christopher"
7"Morris"
8"Market"
places
0"Soho"
1"Camden"
2"Hackney"
3"Veil"
globalScore0.798
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences124
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1681
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences141
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs26
mean64.65
std50.32
cv0.778
sampleLengths
0123
1103
248
34
489
593
68
799
8107
96
1024
119
1294
13100
145
1513
165
17112
1897
19150
20110
215
22140
23111
2413
2513
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences134
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs260
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences141
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1643
adjectiveStacks0
stackExamples(empty)
adverbCount18
adverbRatio0.010955569080949483
lyAdverbCount1
lyAdverbRatio0.0006086427267194157
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences141
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences141
mean11.92
std5.05
cv0.423
sampleLengths
023
121
221
320
47
58
64
719
815
914
1017
118
1219
1319
1411
1513
166
1712
1817
194
2014
2117
228
2314
248
2510
2618
2710
2812
2913
3016
3113
3216
3313
348
3512
367
3710
3815
399
4020
419
4217
4319
446
4511
469
4715
483
4910
38.65% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats16
diversityRatio0.2624113475177305
totalSentences141
uniqueOpeners37
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences134
matches(empty)
ratio0
79.70% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount47
totalSentences134
matches
0"Her cropped salt-and-pepper hair lay"
1"She counted the faces inside"
2"She counted the exits."
3"She checked the worn leather"
4"He wore a Saint Christopher"
5"He saw her on the"
6"He pushed out into the"
7"Her voice cut through traffic"
8"Her boots struck a drain"
9"She caught herself on a"
10"He slipped into the kitchen"
11"Her left wrist hit the"
12"She shouted the words and"
13"She had read the file"
14"He had taken the blade"
15"He crossed a side road"
16"Her chest burned."
17"Her boots filled with water"
18"She pulled her phone from"
19"She shoved the phone back"
ratio0.351
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount127
totalSentences134
matches
0"Detective Harlow Quinn stood under"
1"The sign reflected in every"
2"Her cropped salt-and-pepper hair lay"
3"Brown eyes narrowed on the"
4"She counted the faces inside"
5"She counted the exits."
6"She checked the worn leather"
7"Silas poured a drink behind"
8"The bookshelf beside the toilets"
9"Quinn had watched the shelf"
10"The clique used the hidden"
11"He wore a Saint Christopher"
12"He saw her on the"
13"The bag slipped on his"
14"He pushed out into the"
15"Quinn left the eaves and"
16"Her voice cut through traffic"
17"Tomás cut through a gap"
18"Cardboard burst and oranges rolled"
19"Quinn vaulted the crates and"
ratio0.948
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences134
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences93
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
85.5725%