Run: 2026-09-03-01M1K5YJBZ5E9RA50F6ZWQGSKK

Run Details

Duration:
1m 26s
Cost:
$0.018538
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 needled Camden High Street and turned the pavement into black glass. Green and white shop lights smeared across the puddles. Shutters rattled over closed stalls. The night bus hissed past and threw a wave against the kerb. Harlow Quinn stood in the doorway of a shuttered bookmaker and let the water run off her shoulders. She kept her weight on the balls of her feet. Her salt-and-pepper crop lay flat against her skull. Rain beaded on her sharp jaw and tracked down her throat. Brown eyes stayed fixed on the mouth of the alley opposite. Her left wrist bore a worn leather watch. The second hand swept. Eighteen years on the Metropolitan Police taught her how to wait. A shape detached from the dark. He moved with a limp that he hid well. Five-ten, olive skin gone sallow under the streetlamps, short curly dark brown hair plastered to his forehead. A chain glinted at his collar. Saint Christopher medallion. His left sleeve rode up as he hauled a canvas bag higher and exposed a scar along his forearm, pale and roped from an old knife attack. Quinn straightened. Military precision lived in that shift, spine to heel. Tomás Herrera. She had logged him three nights prior at The Raven's Nest, that dim Soho bar with old maps and black-and-white photographs choking the walls, the green neon sign buzzing over the door. He had slipped through the crowd and vanished behind the bookshelf, into the hidden back room where the real talk happened. No paramedic, ex or otherwise, carried that kind of bag into a clandestine meet unless blood was involved. Quinn stepped into the rain. "Tomás Herrera! Metropolitan Police!" Her voice cut through the hiss of tyres. Herrera froze for half a heartbeat. Warm brown eyes found her. Recognition flared, then flight. He ran. Quinn ran. Water exploded under her boots. The canvas bag bounced against Herrera's hip. He veered around a stack of crates outside a fried chicken shop and sent polystyrene skittering across the wet asphalt. A drunk shouted. A girl with a plastic poncho yanked her friend clear. Quinn vaulted the crates. Her breath burned. Her arms pumped. The distance between them stretched and snapped shut with each stride. "Stop!" Herrera glanced back. His medallion bounced against his sternum. "You don't want this one, Detective!" "You run, I chase. That is the rule." He laughed, a sharp bark with no humour, and ducked down a side street where market awnings sagged under the weight of water. Runoff poured off canvas in curtains. The smell of damp cardboard and jerk spice and diesel clogged the air. Quinn closed two paces. Her hand brushed the tail of his jacket. Herrera twisted. He slammed his shoulder into a metal shutter. The clang rang down the street. He rebounded and sprinted for the railings that edged the old Tube entrance, a dead station sealed since the war, bricked and tagged and left to rot beneath Camden. A chain and padlock hung on the gate. Fresh scratches shone on the metal. Herrera did not slow. He fished in his pocket and produced a short length of yellowed bone, carved with ticks and spirals. A bone token. He slapped it against the gate and the padlock clicked open as if a hand turned it from inside. Quinn skidded to a halt three metres out. Water streamed off her chin. "What is that? What did you do to that lock?" Herrera hauled the gate wide. Rust screamed. Beyond it concrete steps dropped into black, and from the black rose heat and noise, low chant and copper and sugar and rot, a bazaar breath. "Seville taught me to help people. London took my licence for it. You want to arrest me for that?" "I want answers about Morris. About men who bleed without wounds." The name hit him. His stride faltered on the first step. "You knew DS Morris?" "I buried him. Three years ago. No blood. No reason. Cases like his point at your friends from the Nest." Herrera shook his head. Rain hammered his shoulders. "You have it backwards." He descended two steps. Light from below caught the planes of his face, the scar on his arm stark white. Down there shadows moved. A tall figure in a waxed coat checked tokens at a turnstile that should not exist. Behind him stalls glowed, jars of phosphor and root and teeth, vials the colour of bruises, men and women trading paper slips for whispers. The Veil Market. The hidden black market that sold enchanted goods and banned alchemical substances and information to anyone with the price of entry. It moved every full moon and tonight it squatted under Camden in an abandoned Tube station and pulsed like a heart. The guard looked up. His eyes reflected no light. Quinn's fingers found her cuffs, then her radio. Static answered. No signal penetrated that depth. Herrera held up the bone token between two fingers. "No token, no passage. No backup. No law." Quinn stared down the stairwell. The air that rose from it warmed her wet face and carried the iron tang of old blood and something sweet she could not name. Her watch ticked against her wrist bone. Each click marked another second Morris stayed dead without explanation, another night the clique slipped through bookshelves and locked gates while she filed reports no one believed. Her jaw locked. "Then I go without them." She took the first step down.
created_at"2026-09-03T08:25:15.91Z" 9/3/2026, 8:25:15 AM
model"meta/muse-spark-1.3-20260902"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4666
moderation_latency(null)
generation_time85915
tokens_prompt1104
tokens_completion1474
native_tokens_prompt989
native_tokens_completion4071
native_tokens_completion_images0
native_tokens_reasoning2780
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"
usage0.018538
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788423915-JSFnP8St3XjTErujpGpJ"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788423915-NfuykfdlXTU6Gdbcqi3Z"
upstream_id"resp_6a992eec739c0380702742bf"
provider_responses
0
endpoint_id"cf4f1b4e-1719-4b65-9111-7dd7635e5a2f"
id"resp_6a992eec739c0380702742bf"
is_byokfalse
latency515
model_permaslug"meta/muse-spark-1.3-20260902"
provider_name"Meta"
status200
total_cost0.018538
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)
wordCount915
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)
72.68% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount915
totalAiIsms5
found
0
word"weight"
count2
1
word"clandestine"
count1
2
word"stark"
count1
3
word"pulsed"
count1
highlights
0"weight"
1"clandestine"
2"stark"
3"pulsed"
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
narrationSentences86
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences86
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences98
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen34
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords915
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
94.79% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions37
wordCount815
uniqueNames16
maxNameDensity1.1
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Camden3
High1
Street1
Quinn9
Metropolitan1
Police1
Christopher1
Herrera9
Raven1
Nest1
Soho1
Tube2
Veil1
Market1
Morris1
Rain3
persons
0"Quinn"
1"Police"
2"Christopher"
3"Herrera"
4"Morris"
5"Rain"
places
0"Camden"
1"High"
2"Street"
3"Raven"
4"Soho"
globalScore0.948
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences51
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount915
matches(empty)
98.64% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences98
matches
0"carried that kind"
1"penetrated that depth"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs44
mean20.8
std23.39
cv1.125
sampleLengths
012
144
263
36
462
511
62
771
85
94
108
1115
122
132
1445
1521
161
179
186
198
2042
2112
2245
2314
2444
2513
2610
2733
2819
2911
3011
314
3220
338
344
35109
369
3715
389
398
4064
413
425
436
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences86
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs141
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences98
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount820
adjectiveStacks0
stackExamples(empty)
adverbCount8
adverbRatio0.00975609756097561
lyAdverbCount1
lyAdverbRatio0.0012195121951219512
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences98
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences98
mean9.34
std7.27
cv0.778
sampleLengths
012
19
25
312
418
510
68
711
811
98
104
1111
126
139
1417
156
163
1727
182
199
202
2132
2221
2318
245
254
268
276
285
294
302
312
325
337
3420
353
3610
374
383
393
4011
411
423
436
446
458
4623
476
4813
494
60.54% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.3877551020408163
totalSentences98
uniqueOpeners38
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences79
matches(empty)
ratio0
93.42% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount25
totalSentences79
matches
0"She kept her weight on"
1"Her salt-and-pepper crop lay flat"
2"Her left wrist bore a"
3"He moved with a limp"
4"His left sleeve rode up"
5"She had logged him three"
6"He had slipped through the"
7"Her voice cut through the"
8"He veered around a stack"
9"Her breath burned."
10"Her arms pumped."
11"His medallion bounced against his"
12"He laughed, a sharp bark"
13"Her hand brushed the tail"
14"He slammed his shoulder into"
15"He rebounded and sprinted for"
16"He fished in his pocket"
17"He slapped it against the"
18"His stride faltered on the"
19"He descended two steps."
ratio0.316
35.95% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount67
totalSentences79
matches
0"Rain needled Camden High Street"
1"Shutters rattled over closed stalls."
2"The night bus hissed past"
3"Harlow Quinn stood in the"
4"She kept her weight on"
5"Her salt-and-pepper crop lay flat"
6"Rain beaded on her sharp"
7"Brown eyes stayed fixed on"
8"Her left wrist bore a"
9"The second hand swept."
10"A shape detached from the"
11"He moved with a limp"
12"A chain glinted at his"
13"Saint Christopher medallion."
14"His left sleeve rode up"
15"Military precision lived in that"
16"She had logged him three"
17"He had slipped through the"
18"Quinn stepped into the rain."
19"Her voice cut through the"
ratio0.848
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences79
matches(empty)
ratio0
93.60% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences29
technicalSentenceCount2
matches
0"He rebounded and sprinted for the railings that edged the old Tube entrance, a dead station sealed since the war, bricked and tagged and left to rot beneath Cam…"
1"The hidden black market that sold enchanted goods and banned alchemical substances and information to anyone with the price of entry."
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
88.3203%