Run: 2026-09-03-01M1K4TT192MNMEGPNDHJS9S73

Run Details

Duration:
35.9s
Cost:
$0.016804
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 Soho and turned the pavement to black glass. The Raven's Nest bled green neon across the wet street. Harlow Quinn stood opposite, collar up, hands in pockets, brown eyes fixed on the bookshelf door behind the bar. She knew that door. The maps and the black-and-white photographs on the walls inside hid a hinge. A hidden back room for clandestine meetings. She had watched it for three nights. The bookshelf moved. Tomás Herrera slipped through the gap. Olive skin shone damp under the neon. Short curly dark brown hair plastered to his scalp. The Saint Christopher medallion at his throat caught light when he turned. He glanced over his shoulder once, then again, and pushed into the rain. Harlow crossed the street. Her boots struck puddles. Water jumped. Her salt-and-pepper crop dripped. Her sharp jaw set. The worn leather watch on her left wrist ticked against pulse. Her bearing held military precision even at a walk. Eighteen years had taught her how to close distance without a run. Tomás saw her. His shoulders tightened. He ran. "Tomás Herrera! Police! Stop!" Harlow broke into a sprint. Her breath cut the cold. Rain needled her face and chest. Tomás cut left down Berwick Street, past shuttered stalls and bins that reeked of rot and fried oil. His trainers slapped water and left a white wake. "Stop and we talk!" He did not stop. He vaulted a crate and knocked it flat. Bottles rolled. Harlow hurdled the crate. Her knee twinged. She ignored it. DS Morris had ignored a twinge once. Morris had gone into a place he did not understand and never came out. Harlow carried that name like a stone in her pocket. Tomás hit Wardour and veered north. Traffic smeared light across his back. A bus hissed and threw a wave across the curb. Harlow flung an arm up. Water drenched her. She kept pace. The scar along Tomás's left forearm flashed pale each time his arm pumped. She had seen that scar in the file. Knife attack. Seville. NHS. Off-the-books medical care for people who did not bleed right. He ran like a man with a destination, not a man in panic. Harlow closed five feet. Ten. Her hand brushed air where his jacket had been. "Tomás! You make this worse!" He turned his head. "You don't want to follow! Turn back, Detective!" His voice cracked through rain. He faced forward and pushed harder. They passed the edge of Soho and the streets widened. Camden drew them north. The neon thinned. The rain thickened. The city exhaled steam from grates and gutters roared. Harlow's lungs burned. Her watch face fogged. She noted time in the corner of her mind. 01:14. The chase had stretched eight minutes. Her radio sat dead on her hip. She had left it in the car to avoid chatter. Mistake number one. Tomás cut down an alley that had no name. Brick sweated moss. Fire escapes dripped rust. A fox stared and vanished. At the end of the alley a chain fence sagged. Beyond it, darkness fell in a square. An abandoned Tube station. Harlow knew Camden had ghosts beneath it. Stations sealed after the war, after the flood, after budget cuts. This one wore a boarded mouth and a sign stripped to rivets. No light. No entry. Tomás did not slow. He hit the fence and climbed. Metal screamed. He dropped on the other side and ran for the service door. Harlow hit the fence. Her hands slipped. Rain made iron slick. She hauled herself over. The top rail bit her palm. She dropped, rolled, came up with knees wet and stinging. Her jaw clenched so hard her teeth ached. Tomás reached the service door. Paint peeled from it in sheets. He pulled something from his pocket. A small white shard, polished, pierced with twine. Bone token. Harlow froze for half a step. The token fit a slot where a handle should be. The door shivered. A seam of amber light bled around the frame and the air changed. A hum rose from the concrete, low and sweet, like a market crowd heard through stone. Tomás looked back. Rain ran down his medallion and his olive skin shone amber in that strange light. "You don't have one! You can't come through! Go back to your street!" Harlow stared at the light. Her hand went to her hip where cuffs and baton hung. No bone token. No warrant for whatever lay beyond. Protocol said call it in, seal the perimeter, wait for backup. Protocol had buried Morris. Protocol had written *unexplained circumstances* on a report and closed the file. The door opened a hand's width. Sound spilled out. Voices, haggling, the clang of metal on stone, the hiss of something alchemical and sharp. The smell of ozone and incense and fried sugar rode the wet air. Light painted the rain gold. The Veil Market. Abandoned Tube station beneath Camden. Moves every full moon. Tonight the moon hung fat and white above cloud. Tonight it lived here. Tomás stepped to the threshold. "Please. You chase a man who patches wounds. Let me go." Harlow's brown eyes narrowed. Water tracked down her sharp jaw. "You patch wounds with banned alchemy. You sell it. That bar is a front. That bookshelf is a door for your clique. You think I don't see?" He shook his head. Drops flew. "You see a bar. You see a boy from Seville who lost his license. You don't see what hunts behind that door." He pushed the door. Harlow moved. She closed the gap in three strides. Her worn leather watch ticked loud against her wrist. Her hand shot out and caught the edge of the service door before it shut. The amber light washed her sleeve. Heat pulsed against her palm, not from fire but from pressure, like the air before a storm. Tomás stared at her hand on the door. His scar stood white. "You hold that and it holds you. Cross without token and the Market takes a price." Harlow braced her shoulder against the frame. Rain hammered her back and made rivers down her neck. Her breath fogged the strange light. "Then I pay it. Step out here and talk or I come in there and find what you hide." Tomás held the bone token tight enough to whiten his knuckles. The Saint Christopher at his throat swung. "You cross, you enter their ledger. Quinn, Detective Quinn, you put your name down." Harlow looked past him. Beyond the service door, the old Tube platform stretched impossible. Stalls lined the tracks. Lanterns hung where signals had been. Figures moved under awnings, some tall, some hunched, some with eyes that reflected amber. A vendor shouted price for bottled lightning. The air tasted of copper. Her heart hammered against ribs. Her hand on the door slipped a fraction. The light tugged. She made the choice. "Move." She shoved the door wide with her shoulder and stepped through.
created_at"2026-09-03T08:05:44.114Z" 9/3/2026, 8:05:44 AM
model"meta/muse-spark-1.2-20260805"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3787
moderation_latency(null)
generation_time35813
tokens_prompt1104
tokens_completion1744
native_tokens_prompt989
native_tokens_completion3663
native_tokens_completion_images0
native_tokens_reasoning2074
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"auto"
usage0.016804
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788422744-nNVg1udZ0QSIgjwFjQRz"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788422744-3OXdWa9AJnYZprjonF0m"
upstream_id"resp_6a992a5839ab3e017ca946f8"
provider_responses
0
endpoint_id"ffc8e76e-808a-44d2-bd21-c6ac16e721cb"
id"resp_6a992a5839ab3e017ca946f8"
is_byokfalse
latency451
model_permaslug"meta/muse-spark-1.2-20260805"
provider_name"Meta"
status200
total_cost0.016804
cache_discount(null)
upstream_inference_cost0
provider_name"Meta"
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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)
wordCount1168
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)
82.88% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1168
totalAiIsms4
found
0
word"clandestine"
count1
1
word"pulse"
count1
2
word"jaw clenched"
count1
3
word"pulsed"
count1
highlights
0"clandestine"
1"pulse"
2"jaw clenched"
3"pulsed"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"eyes widened/narrowed"
count1
1
label"jaw/fists clenched"
count1
highlights
0"eyes narrowed"
1"jaw clenched"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences153
matches
0"n in panic"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount0
narrationSentences153
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences165
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen27
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords2
totalWords1168
ratio0.002
matches
0"unexplained circumstances"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
71.88% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions63
wordCount1024
uniqueNames20
maxNameDensity1.56
worstName"Harlow"
maxWindowNameDensity2.5
worstWindowName"Harlow"
discoveredNames
Soho2
Raven1
Nest1
Quinn1
Herrera1
Saint2
Christopher2
Berwick1
Street1
Morris3
Wardour1
Tomás12
Tube3
Camden3
Veil1
Market1
Rain5
Harlow16
Water3
Protocol3
persons
0"Raven"
1"Nest"
2"Quinn"
3"Herrera"
4"Saint"
5"Christopher"
6"Morris"
7"Tomás"
8"Camden"
9"Rain"
10"Harlow"
11"Water"
12"Protocol"
places
0"Soho"
1"Berwick"
2"Street"
globalScore0.719
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences81
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.856
wordCount1168
matches
0"not from fire but from pressure, like the air before a storm"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount3
totalSentences165
matches
0"knew that door"
1"carried that name"
2"seen that scar"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs52
mean22.46
std19.06
cv0.849
sampleLengths
010
160
23
347
44
546
63
75
84
943
104
1155
1268
1313
1414
155
164
178
1840
1943
2038
214
2258
2339
2427
256
2642
2718
2813
2952
3042
3125
325
3311
3410
3527
366
3722
384
392
4054
4112
4216
4323
4419
4518
4614
4750
4816
494
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences153
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs192
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences165
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1030
adjectiveStacks0
stackExamples(empty)
adverbCount11
adverbRatio0.010679611650485437
lyAdverbCount1
lyAdverbRatio0.000970873786407767
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences165
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences165
mean7.08
std4.5
cv0.635
sampleLengths
010
110
219
34
413
57
67
73
86
97
109
1112
1213
134
144
152
164
174
1811
199
2012
213
223
232
244
255
265
276
2818
299
304
314
328
332
344
353
363
377
3814
3910
406
416
4210
435
443
453
4613
478
482
491
45.93% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats13
diversityRatio0.3231707317073171
totalSentences164
uniqueOpeners53
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences139
matches(empty)
ratio0
90.50% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount45
totalSentences139
matches
0"She knew that door."
1"She had watched it for"
2"He glanced over his shoulder"
3"Her boots struck puddles."
4"Her salt-and-pepper crop dripped."
5"Her sharp jaw set."
6"Her bearing held military precision"
7"His shoulders tightened."
8"Her breath cut the cold."
9"His trainers slapped water and"
10"He did not stop."
11"He vaulted a crate and"
12"Her knee twinged."
13"She ignored it."
14"She kept pace."
15"She had seen that scar"
16"He ran like a man"
17"Her hand brushed air where"
18"He turned his head."
19"His voice cracked through rain."
ratio0.324
10.36% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount125
totalSentences139
matches
0"The Raven's Nest bled green"
1"Harlow Quinn stood opposite, collar"
2"She knew that door."
3"The maps and the black-and-white"
4"A hidden back room for"
5"She had watched it for"
6"The bookshelf moved."
7"Tomás Herrera slipped through the"
8"Olive skin shone damp under"
9"The Saint Christopher medallion at"
10"He glanced over his shoulder"
11"Harlow crossed the street."
12"Her boots struck puddles."
13"Her salt-and-pepper crop dripped."
14"Her sharp jaw set."
15"The worn leather watch on"
16"Her bearing held military precision"
17"Tomás saw her."
18"His shoulders tightened."
19"Harlow broke into a sprint."
ratio0.899
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences139
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences38
technicalSentenceCount2
matches
0"Tomás cut left down Berwick Street, past shuttered stalls and bins that reeked of rot and fried oil."
1"Off-the-books medical care for people who did not bleed right."
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
85.6072%