Run: 2026-11-11-01M755RNTB2G0N1TNVW7P8Y5SP

Run Details

Duration:
12.2s
Cost:
$0.002449
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
Inside the Raven's Nest, the green neon sign poured light across the bar and the bottles behind it. Old maps covered the walls between black-and-white photographs. Quinn planted her boots on the sticky floorboards and watched Tomás Herrera nurse a drink he never touched. Her cropped salt-and-pepper hair dripped on the collar of her coat. The worn leather watch on her left wrist ticked against the bar rail. Tomás glanced at the door. The medallion at his throat swung against his shirt. A scar split the skin along his left forearm, pale and raised where a knife had opened him years ago. "Tomás Herrera." He set the glass down without drinking from it. "Detective Quinn." "You treated a man in an alley off Frith Street last night." "I treated a man." "You bypassed the station. You bypassed the hospital." "The man bled black." "Show me your bag. Show me your notes." Tomás pushed back from the bar. His chair struck a table leg and toppled it. Glasses rang on the floorboards. Quinn grabbed his sleeve. He twisted free with a paramedic's grip, strong and economical. He hit the bookshelf at the back of the room with his shoulder. The shelf swung inward on a hidden hinge and opened on a narrow service passage. He vanished through the gap. Quinn crossed the bar in three strides. She shouldered through the passage and out to a rear yard. Rain hit her face like thrown gravel. Water sheeted off the green sign and ran in rivers along the pavement. Tomás sprinted toward Old Compton Street with his bag clamped against his ribs. "Police! Stop!" He cut left through a gap between market stalls. Shutters clanged down along the street. Steam rose from a food cart vent. Quinn pounded after him over wet cobbles. Her coat flapped and soaked through at the shoulders. Puddles broke under her boots and splashed her legs. Tomás vaulted a stack of crates beside a shuttered bakery. His bag swung wide and struck a tin sign. The sign screamed against the wall. He landed in an alley and kept his pace. Quinn hit the crates with her hip, swore, and climbed. Her palms slipped on wet wood. She dropped into the alley water to her ankles. He glanced back and grinned. "You run like the Army taught you!" "You patch men the service refuses to touch!" "I patch men who pay or who bleed!" The alley opened onto Charing Cross Road. Buses hissed past with headlights smeared across the rain. Tomás darted between a cab and a cyclist. The cyclist braked hard and shouted. Quinn crossed behind the cab and caught the cyclist's handlebar as she passed. She let go and ran on. Her calves burned. Rain needled the back of her neck and found the gap between collar and skin. Tomás took the towpath by the canal near Camden. Floodwater ran brown along the path. Narrowboats knocked against stone. He leapt a mooring rope and splashed through a puddle deep enough to blacken his shoes. Quinn followed the same line. Her foot slid on algae. Her hand slammed a lamp post. Pain shot through her palm. She pushed off the post and ran. A Saint Christopher medallion flashed at his throat when lightning lit the clouds. He pulled his bag higher and head down. "Quinn!" "You know my name." "I know your partner's name too!" Quinn's step faltered on a loose slab. Morris. Three years ago Morris had choked in an alley two streets from this canal. No fire. No smoke Quinn could smell. Morris had clawed at empty air while blood ran from his ears and nose. Quinn had held his head and shouted his name into rain. Morris had died with his eyes open and his nails black with ash. She lengthened her stride and closed ground between them. "Morris died because of people like you!" "Morris died because he walked through the wrong door!" "He walked through a door with you!" "I found him after! I found him bleeding on concrete!" "And you took his file!" "I took him off the concrete!" Tomás shoved through a gate in a rail fence. The gate banged back against Quinn's shin. She caught it before it closed and forced her shoulder through the gap. The metal scraped her coat from hip to shoulder. Tomás ran up Camden High Street under closed shopfronts. Neon signs reflected in black windows. He cut across a zebra crossing against no traffic and disappeared under the railway bridge. Quinn reached the bridge and lost him for a breath. Water dripped from the girders in a steady curtain. She listened. Her ears rang. A boot scraped stone beyond the drip line. She stepped out from under the bridge and saw him at the far end, silhouetted beside a boarded arch. The arch had once served a Tube station. Cracked enamel letters spelled a name no map printed. A chain link fence blocked the stairwell. Behind the fence, a woman sat on a stool with a thermos between her knees. Her hands rested on a tin tray. Small white bone tokens lay on the tray like teeth. Tomás slowed his pace. He raised his bag in greeting. He pulled a bone token from his coat pocket and held it up through the fence. The woman lifted a token from the tray and matched it against his. She nodded and unlocked the gate. Quinn shouted from the pavement. "Gate! Metropolitan Police!" The woman locked eyes with her. Her face gave no warmth. "Token." "Detective Quinn. I need entry. A suspect—" "Token." Tomás stepped through the gate and looked back at Quinn with water streaming from his curly hair. His olive skin shone under the arch light. The scar on his left forearm showed white as he gripped the stair rail. "Come on, Detective!" "Get back here, Herrera!" "You want the clinic? You come through the door!" The woman pulled the gate shut and slid a bolt home from inside the fence. The bone token in her hand caught the light. Rain ran off the fence and spattered Quinn's shoes. "Open this gate." "Token." "I carry a warrant." "Token." "I carry a badge." "Token." Quinn pressed her palm to the cold mesh. Beyond the gate, Tomás descended the first steps and disappeared into dark. Stone walls swallowed his footsteps. A damp smell rose from the stairwell, chalk and old iron and something sweet underneath. Quinn pulled her radio earpiece from her ear and let it dangle against her chest. Her watch pressed her wrist bone. She thought of the bookshelf in the Raven's Nest, the black blood on Frith Street, Morris on concrete. She thought of protocol sheets in a drawer at the station. She slid her badge into her coat pocket and gripped the top rail of the fence. The woman watched her hand. "Token," she said. Quinn hauled herself onto the fence. The mesh cut into her palms through her wet sleeves. Her boots found holds in the links. She swung one leg over the top and dropped on the stairwell side in a crouch. Pain jarred her knees on stone. The bone token tray rattled as the woman shifted her stool. Quinn put her foot on the first stair and descended into the dark beneath Camden.
created_at"2026-11-11T11:26:51.731Z" 11/11/2026, 11:26:51 AM
model"meta/muse-ember-20261109"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1146
moderation_latency(null)
generation_time12180
tokens_prompt1104
tokens_completion1860
native_tokens_prompt1004
native_tokens_completion4698
native_tokens_completion_images0
native_tokens_reasoning3082
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"
usage0.0024494
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer(null)
request_id"req-1794396411-7ITIuEwkreIRKWEdgfS3"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1794396411-HnJCjrdzcgYzkoeao0f3"
upstream_id"resp_6af450fc4e50b8ae25fc426b"
provider_responses
0
endpoint_id"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id"resp_6af450fc4e50b8ae25fc426b"
is_byokfalse
latency605
model_permaslug"meta/muse-ember-20261109"
provider_name"Meta"
status200
total_cost0.0024494
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
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences34
tagDensity0.029
leniency0.059
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1222
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)
87.73% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1222
totalAiIsms3
found
0
word"warmth"
count1
1
word"streaming"
count1
2
word"footsteps"
count1
highlights
0"warmth"
1"streaming"
2"footsteps"
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
narrationSentences115
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences115
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences148
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen20
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1222
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
60.29% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions61
wordCount1059
uniqueNames19
maxNameDensity1.79
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Raven2
Nest2
Tomás12
Herrera1
Old2
Compton1
Street3
Charing1
Cross1
Road1
Camden3
Saint1
Christopher1
Morris5
Quinn19
High1
Tube1
Frith1
Rain3
persons
0"Tomás"
1"Herrera"
2"Saint"
3"Christopher"
4"Morris"
5"Quinn"
6"Rain"
places
0"Raven"
1"Old"
2"Compton"
3"Street"
4"Charing"
5"Cross"
6"Road"
7"Camden"
8"High"
9"Frith"
globalScore0.603
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences94
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1222
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences148
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs60
mean20.37
std23.39
cv1.149
sampleLengths
068
134
22
39
42
512
64
78
84
98
1067
1151
122
1347
1459
155
167
178
188
1967
2063
2121
221
234
246
2567
269
277
289
297
3010
315
326
3368
3451
3556
3645
375
383
3911
401
417
421
4339
443
454
469
4733
483
491
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences115
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs175
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences148
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1063
adjectiveStacks0
stackExamples(empty)
adverbCount8
adverbRatio0.007525870178739417
lyAdverbCount1
lyAdverbRatio0.0009407337723424271
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences148
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences148
mean8.26
std4.32
cv0.523
sampleLengths
018
18
218
311
413
55
69
720
82
99
102
1112
124
138
144
158
166
179
185
194
2010
2113
2215
235
247
2511
267
2713
2813
292
309
316
327
337
349
359
3610
379
386
399
4010
416
429
435
447
458
468
477
489
498
43.92% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.2702702702702703
totalSentences148
uniqueOpeners40
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences111
matches(empty)
ratio0
83.06% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount38
totalSentences111
matches
0"Her cropped salt-and-pepper hair dripped"
1"He set the glass down"
2"His chair struck a table"
3"He twisted free with a"
4"He hit the bookshelf at"
5"He vanished through the gap."
6"She shouldered through the passage"
7"He cut left through a"
8"Her coat flapped and soaked"
9"His bag swung wide and"
10"He landed in an alley"
11"Her palms slipped on wet"
12"She dropped into the alley"
13"He glanced back and grinned."
14"She let go and ran"
15"Her calves burned."
16"He leapt a mooring rope"
17"Her foot slid on algae."
18"Her hand slammed a lamp"
19"She pushed off the post"
ratio0.342
0.54% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount102
totalSentences111
matches
0"Quinn planted her boots on"
1"Her cropped salt-and-pepper hair dripped"
2"The worn leather watch on"
3"Tomás glanced at the door."
4"The medallion at his throat"
5"A scar split the skin"
6"He set the glass down"
7"Tomás pushed back from the"
8"His chair struck a table"
9"Glasses rang on the floorboards."
10"Quinn grabbed his sleeve."
11"He twisted free with a"
12"He hit the bookshelf at"
13"The shelf swung inward on"
14"He vanished through the gap."
15"Quinn crossed the bar in"
16"She shouldered through the passage"
17"Water sheeted off the green"
18"Tomás sprinted toward Old Compton"
19"He cut left through a"
ratio0.919
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences111
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences43
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences34
tagDensity0.029
leniency0.059
rawRatio0
effectiveRatio0
85.8513%