Run: 2026-11-11-01M7549T9GZR6VS6334A15R4EJ

Run Details

Duration:
19.5s
Cost:
$0.004228
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 sidewalk outside the Raven's Nest and smeared green neon across wet brick. Harlow Quinn sat in a parked sedan with the engine off and her worn leather watch pressed against the steering wheel. Her cropped salt-and-pepper hair stuck to her scalp. Brown eyes held the entrance. Her sharp jaw stayed locked. Her 5-foot-9 frame sat square in the driver seat. Boots planted flat on the floor pan. Back straight. Hands steady. Eighteen years with Metropolitan Police had built that posture into bone and habit. A Norfolk jacket clung to her shoulders. Water dripped from the hem onto her knees. Inside the Nest black-and-white photographs covered the walls. Old maps curled at the edges. A bookshelf shifted half an inch and Tomás Herrera stepped into the back alley with a black medical bag gripped against his chest. Harlow Quinn marked every detail for the statement she would write by dawn. Tomás Herrera stood 5-foot-10 in wet shoes. Short curly dark brown hair clung to his forehead. Olive skin shone under the alley lamp. Warm brown eyes scanned the street. A Saint Christopher medallion bounced at his throat and struck the zipper on the bag. A scar ran along his left forearm and showed pale against the skin as he dragged the zipper shut. Heat rose in his face when the bag shifted and glass clinked inside. He tucked the medallion inside his shirt and pulled his collar high against the rain. "Control. Quinn here." "Copy, detective. Report." "Subject left the Nest through the back. Herrera. Black medical bag. Heading north in a taxi." "Backup will meet you at Camden Lock." Harlow Quinn turned the key and eased the sedan into traffic behind the taxi. Wipers dragged arcs across the windshield and left half moons of smeared light. The driver took Oxford Street at speed and cut across traffic at a red light. Horns blared behind them. Harlow Quinn held the wheel with both hands and matched the taxi lane for lane through puddles that tossed spray over the hood. The Nest shrank in the mirror and green neon broke into ripples on wet asphalt. Camden high street came into view with shutters down and bus shelters empty. Herrera leaned forward in the back seat and pressed a hand to the glass. The taxi brake lights flared at the lock gates and the rear door flew open before the car stopped. Herrera hit the sidewalk at a run. The black bag slammed against his hip with each stride. Water sprayed from his shoes across the curb. Harlow Quinn left the sedan with the door open and rain in her face. Her boots found traction on wet stone and she crossed the road behind a double decker bus. The bus horn blasted as it rolled past. Herrera cut down a side street toward the canal and vaulted a chain barrier at the lock. The chain sang and whipped through the air. Herrera landed on the towpath and kept his grip on the bag. Harlow Quinn hit the barrier with her shoulder. Metal bit through the Norfolk jacket. She pulled her arm free and landed hard on the path. Gravel spat under her boots. A barge lamp threw orange light across black water and broke into a line of shaking sparks. "Police! Stop right there!" Herrera glanced over his shoulder and his medallion swung out from his shirt. Rain struck his face and ran into his mouth. He spat onto the path and sprinted toward a rail bridge. His left forearm flashed under the bridge lamps. The scar stood out pale and ridged. He hauled himself over a waist high rail beside a locked gate. Harlow Quinn reached the rail a second later and pushed off the wet metal with both palms. Her jacket caught on a bolt and tore at the seam. She wrenched forward and dropped onto the towpath beside him. Her knees buckled on slick mud. She planted a hand in the mud and surged upright. Herrera put twenty yards between them and aimed for a narrow alley between a closed pub and a shuttered market hall. "You followed me from Soho, detective!" "Drop the bag, Herrera!" "These vials go to people in pain!" "Hand them over and step away from the bag!" Herrera ducked under a dripping awning and cut through the alley mouth. Steam rose from a grate and wrapped around his ankles. Harlow Quinn followed him into the steam and blinked water from her eyes. The alley walls pressed close on both sides. Graffiti covered brick in white and red marks. Crates stacked beside a back door and forced her sideways. Herrera knocked a crate stack over with his hip. Wood cracked against the wall and sent rubbish spilling across the path. Harlow Quinn jumped the pile and her boot slipped on a wet flyer. She caught the wall with her left hand and kept her footing. Her worn leather watch strap scraped the brick. Herrera reached the far end of the alley and burst onto Chalk Farm Road under a row of dead shop signs. "The NHS took your license for a reason, Herrera!" "The NHS had nothing for the children in Seville!" "I am talking about the unauthorized treatments!" "I gave those children a chance to live!" Herrera skidded across the road as a black cab swerved around him. Yellow headlights swept his face and lit the medallion at his throat. He held the bag high to keep it from the worst of the rain and ran on through a sheet of water thrown up by the cab wheels. Harlow Quinn crossed behind the cab and took the same run across the road. Taxi tires hissed on wet tarmac. A traffic light turned green at the intersection and cars surged forward. Harlow Quinn dodged a wing mirror by inches and felt the cold air part around her cheek. Herrera turned his head and pointed a finger back at her while he ran. "Morris went down that tunnel in uniform!" Harlow Quinn froze for a stride on the wet center line. Her boots slid half a foot on painted asphalt. Cars braked around her and a driver leaned on the horn. She planted both feet and forced her legs into motion again. Rain ran off her chin and onto her jacket. Her sharp jaw tightened until the muscle jumped. She held Herrera's back in her sights and lengthened her stride past the traffic light. The canvas strap on the medical bag tore at one corner and a glass vial rolled onto the road. Herrera dropped to one knee, scooped the vial up, and shoved it inside his jacket. He gained the sidewalk again without breaking pace. "You knew DS Morris?" "I treated the man who carried Morris out!" "You stay on the pavement, detective!" Harlow Quinn closed the gap beside a construction hoarding near the abandoned Tube station. Flaked paint peeled from a metal sign and exposed rust in long streaks. A fence blocked the station entrance and a padlock hung open and useless from a broken hasp. Herrera threw his body against a loose panel and the panel swung inward with a scream of hinges. He slipped through the gap and vanished down a stairwell. Cold air rushed up from below and cut through the rain. The stairwell smelled of damp earth, hot oil, and crushed herbs. Harlow Quinn reached the panel and pulled it wide. Concrete steps dropped into darkness. A faint green glow pulsed from the bottom landing and fell across the wet walls. Herrera hit the bottom of the stairs at speed and slammed a palm against a stone wall beside a steel grate. A shallow groove ran through the stone at hand height. He drew a bone token from his pocket. The token matched the groove in length and curve. White bone shone against his olive skin. He pressed the token into the groove and the stone clicked. A steel grate slid aside and opened onto a platform lit by lanterns. Rows of stalls spread beneath tarps. Glass vials clinked on enamel trays. A bell rang somewhere beyond the stalls. Voices rose and fell in several languages. A caged bird beat its wings against wire. The warm air carried sulfur, honey, and wet wool up the stairwell. Herrera stepped through the opening and pulled the token free. He held it up for a figure behind the grate. The figure wore gloves and a mask stitched from pale leather. Herrera spoke with his back to the stairs. "One entry. Market rules hold." Herrera placed the bone token in the figure's gloved hand and passed through the grate. The figure locked the grate from inside and turned a brass lever. Teeth clicked along the frame. The grate began to close. Harlow Quinn stood at the top of the stairs with rain dripping from her hair onto her shoulders. She raised her badge above her head with her right hand. Water ran down her wrist and into her sleeve. Her left hand rested on the radio at her belt. The radio crackled with the backup unit at Camden Lock. Boots splashed on the pavement behind her. Herrera looked up from the platform and the Saint Christopher medallion hung motionless against his chest. Lantern light caught the scar on his forearm as he shifted the medical bag to his other arm. "Badge means nothing down here!" "Open that grate! Metropolitan Police!" "Bone token or the market stays closed!" "Step back from that lever!" The figure behind the grate held the bone token flat in one palm and kept the other hand on the lever. Metal teeth ground against the frame and the opening narrowed by inches. Stalls crowded the platform below with tarps sagging under rainwater. Brass scales hung from a hook beside a tray of teeth. A woman behind a counter lifted a vial and held it against the lantern light. A man with stitched arms stacked crates beside a cage. Children peered past a counter stacked with wrapped bundles. The crowd turned toward the stairs and fell silent. A bell rang once inside the market and stopped. Harlow Quinn looked down at her worn leather watch. The strap bore a dark line where DS Morris had tapped it during night shifts three years ago. His name had not appeared in any official report from that tunnel. The radio crackled again and the backup unit called for her position. Harlow Quinn pressed the silence button on the radio and lowered her hand from her belt. She glanced at the children behind the counter and at the grate teeth grinding closer together. She stepped onto the first stair and left the rain behind her shoulders. Harlow Quinn ducked under the falling grate and planted her boot on the first stair down.
created_at"2026-11-11T11:01:16.216Z" 11/11/2026, 11:01:16 AM
model"meta/muse-ember-20261109"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1442
moderation_latency(null)
generation_time19456
tokens_prompt1104
tokens_completion2752
native_tokens_prompt1004
native_tokens_completion8256
native_tokens_completion_images0
native_tokens_reasoning5931
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"
usage0.0042284
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer(null)
request_id"req-1794394876-epLhBLfaXtKCDmh9Pipv"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1794394876-ttG9OTjOYiucDLbGMNif"
upstream_id"resp_6af44afc35b755c908fc47d5"
provider_responses
0
endpoint_id"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id"resp_6af44afc35b755c908fc47d5"
is_byokfalse
latency588
model_permaslug"meta/muse-ember-20261109"
provider_name"Meta"
status200
total_cost0.0042284
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)
wordCount1808
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)
91.70% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1808
totalAiIsms3
found
0
word"scanned"
count1
1
word"pulsed"
count1
2
word"silence"
count1
highlights
0"scanned"
1"pulsed"
2"silence"
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
narrationSentences145
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount1
narrationSentences145
filterMatches
0"watch"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences167
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen28
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1808
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions87
wordCount1664
uniqueNames22
maxNameDensity1.26
worstName"Herrera"
maxWindowNameDensity2.5
worstWindowName"Herrera"
discoveredNames
Raven1
Nest3
Quinn18
Metropolitan1
Police1
Norfolk2
Tomás2
Herrera21
Saint2
Christopher2
Oxford1
Street1
Chalk1
Farm1
Road1
Tube1
Camden2
Lock1
Morris1
Rain3
Harlow18
Water3
persons
0"Quinn"
1"Police"
2"Tomás"
3"Herrera"
4"Saint"
5"Christopher"
6"Morris"
7"Rain"
8"Harlow"
9"Water"
places
0"Raven"
1"Norfolk"
2"Oxford"
3"Street"
4"Chalk"
5"Farm"
6"Road"
7"Camden"
8"Lock"
globalScore0.869
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences136
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1808
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences167
matches
0"built that posture"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs36
mean50.22
std58.66
cv1.168
sampleLengths
0139
1104
23
33
416
57
6130
7148
84
9135
106
114
127
139
14136
159
169
177
188
19115
207
21116
224
238
246
25123
26164
275
28136
295
305
317
325
33106
3496
3516
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences145
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs254
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences167
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1668
adjectiveStacks0
stackExamples(empty)
adverbCount11
adverbRatio0.006594724220623501
lyAdverbCount1
lyAdverbRatio0.0005995203836930455
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences167
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences167
mean10.83
std4.66
cv0.43
sampleLengths
015
121
28
35
45
59
67
72
82
913
107
118
128
136
1423
1513
167
179
187
196
2015
2119
2213
2315
243
253
2616
277
2814
2913
3015
314
3223
3315
3413
3514
3619
377
3810
398
4014
4117
428
4317
448
4512
468
476
4811
495
58.28% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.3712574850299401
totalSentences167
uniqueOpeners62
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences143
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount30
totalSentences143
matches
0"Her cropped salt-and-pepper hair stuck"
1"Her sharp jaw stayed locked."
2"Her 5-foot-9 frame sat square"
3"He tucked the medallion inside"
4"Her boots found traction on"
5"She pulled her arm free"
6"He spat onto the path"
7"His left forearm flashed under"
8"He hauled himself over a"
9"Her jacket caught on a"
10"She wrenched forward and dropped"
11"Her knees buckled on slick"
12"She planted a hand in"
13"She caught the wall with"
14"Her worn leather watch strap"
15"He held the bag high"
16"Her boots slid half a"
17"She planted both feet and"
18"Her sharp jaw tightened until"
19"She held Herrera's back in"
ratio0.21
1.96% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount131
totalSentences143
matches
0"Harlow Quinn sat in a"
1"Her cropped salt-and-pepper hair stuck"
2"Brown eyes held the entrance."
3"Her sharp jaw stayed locked."
4"Her 5-foot-9 frame sat square"
5"Boots planted flat on the"
6"A Norfolk jacket clung to"
7"Water dripped from the hem"
8"A bookshelf shifted half an"
9"Harlow Quinn marked every detail"
10"Tomás Herrera stood 5-foot-10 in"
11"Olive skin shone under the"
12"A Saint Christopher medallion bounced"
13"A scar ran along his"
14"Heat rose in his face"
15"He tucked the medallion inside"
16"Harlow Quinn turned the key"
17"Wipers dragged arcs across the"
18"The driver took Oxford Street"
19"Horns blared behind them."
ratio0.916
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences143
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences92
technicalSentenceCount1
matches
0"Harlow Quinn held the wheel with both hands and matched the taxi lane for lane through puddles that tossed spray over the hood."
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
87.8426%