Run: 2026-09-03-01M1K52YRNBNDMSNG8DEESA451

Run Details

Duration:
35.3s
Cost:
$0.016398
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 into black glass. The green neon of The Raven's Nest bled across the wet street and shivered in puddles. Water ran off the awnings and drummed against the bins and the fire escapes. Harlow Quinn stood in the mouth of an alley opposite the bar with her hands in the pockets of her coat. Her cropped salt-and-pepper hair darkened with rain. Her brown eyes fixed on the door beneath the sign. Her sharp jaw set. The worn leather watch on her left wrist ticked against her skin. A figure pushed through the exit. Olive skin. Short curly dark brown hair plastered to his forehead. Saint Christopher medallion caught the neon for half a second before it vanished under his collar. The scar on his left forearm flashed pale as he pulled his sleeve down. Tomás Herrera. Quinn knew the face from photographs. Former paramedic. Off-the-books. Seville-born. Licence stripped. The clique used him when they needed someone stitched without questions. Herrera glanced up and down the street. He turned his collar against the rain and moved. Quinn moved. Her boots struck the pavement. She kept to the opposite side, her stride even, her shoulders square. Military precision in the way she cut through the crowd outside the Nest, the way she measured distance with each step. Herrera picked up pace. He glanced over his shoulder. Brown eyes met brown eyes for a heartbeat. Then he ran. Quinn broke into a run. Herrera vaulted a stack of crates outside a kebab shop. Quinn cleared them. Rain stung her face. A taxi blared its horn as Herrera cut across the road without looking. Quinn swerved around its bonnet, palm slapped the wet metal, and she kept her feet. The walls of Soho slid past in a smear of old maps and brick and black-and-white photographs visible through the lit windows of the bar behind them. Music from doorways. Shouts. The slap of water. Herrera cut left into a narrow passage between buildings. Quinn followed. The alley narrowed and the sound of the main road dulled. Drainpipes spat water. The smell of rot and fried oil thickened. You don't need to do this. Herrera's voice bounced off the brick. He did not look back. Stop. Police. Hands where I can see them. Quinn's breath punched out with the words. She drew no weapon. Her right hand hovered near her coat. Herrera hit the end of the alley and swung right onto Charing Cross Road. Buses hissed past, tyres throwing sheets of water. He wove through pedestrians with their umbrellas. Quinn pushed through the same crowd, her coat snagging, her jaw tight. He knew the streets. He took corners tight and used doorways and scaffolding for cover. Quinn counted his steps and closed the gap by half a pace each block. Eighteen years on the job taught her how to read a runner. The roll of shoulders before a turn. The dip of the head before a burst of speed. Herrera looked back again. He saw her gaining. He sprinted for the mouth of the Underground. Quinn lengthened her stride. The entrance stood half-lit, its gate pulled partway across. A sign hung crooked: CLOSED FOR MAINTENANCE. Beyond the gate, stairs dropped into darkness. Water poured down the steps and vanished into the drain. Herrera did not hesitate. He ducked under the gate and dropped into the dark. Quinn slid to a stop at the top step. Rain hammered her shoulders. Water ran off her hair and down her neck. She gripped the gate. Cold iron bit her palm. The tunnel breathed. Damp air rose from below, thick with rust and old smoke and something else, something sweet and wrong, like incense burned too long. She pulled her torch from her coat and thumbed it on. The beam cut a white cone down the tiled stairwell. Herrera's footprints shone wet on the concrete, fresh, already filling with water. She ducked under the gate. The sound of the street faded with each step. Traffic became a dull roar and then a memory. The tiles on the walls cracked and peeled. Posters from a decade ago sagged, their colours bled. Her boots splashed. The beam of her torch shook with her movement. At the bottom, the station opened. It was not a station any more. The ticket barriers stood rusted and bent. Beyond them, the platforms stretched into shadow. Lanterns hung from the ceiling where strip lights had died, their flames steady despite the draught. Stalls crowded the tracks, canvas and wood and scrap metal lashed together. Smoke rose from braziers. Glass jars glowed with unnatural light. Bundles of dried herbs hung from hooks. Bottles filled with dark liquid shivered. The Veil Market. Quinn had heard the name in whispers after DS Morris died. A market that moved every full moon. An abandoned Tube station beneath Camden. A place that sold things the law had no name for. She had chased rumours to dead ends and sealed doors. Now it spread before her, alive, crowded with figures that did not belong on any census. A woman with hair like wire counted coins with six fingers. A man with a shaved head displayed knives that hummed. The air tasted of copper and ozone. Herrera stood at the barrier line. He turned. You shouldn't have followed me. He pressed his back against the barrier. His chest rose and fell. Rain dripped from his hair onto his collar. His left hand clutched his right forearm, knuckles white, as if to hide the scar. Quinn kept her torch on him. She moved with care, one step at a time, her left wrist turned so the face of her watch caught the lantern light. You run from police, I follow. That's how this works. Her free hand rested near her coat. Her stance widened a fraction. Knees soft. Weight forward. This isn't your world, Detective. You don't know what you walk into. Then explain it to me. Who did you meet in the back room? The one behind the bookshelf. Who pays you to patch them up? Herrera let out a laugh without humour. His hand went to the medallion at his neck. He twisted it. No one pays me. I owe. Same as everyone here. Quinn edged closer to the barrier. The rusted metal came to her waist. Beyond it, the market hummed. Dozens of eyes turned toward the light of her torch. Conversation dipped. A stallholder lowered a jar and stared. A figure stepped from the shadows beside the barriers. Tall, thin, face hidden under a hood. He extended a hand, palm up. In his palm lay a chipped white disc with a hole drilled through its centre. Bone. He spoke without raising his voice. Token. Quinn looked at the hand. Then at Herrera. Herrera stared at the bone token. His brown eyes widened. He shook his head. Don't. Please. You go past that line, you need that to get back. Quinn's torch beam dropped to the token, then rose to the hooded figure, then to Herrera. Her breath fogged in the cold air that rose from the tracks. Water dripped from the ceiling and struck the tiles with a sharp ping. Every part of her training told her to call it in. To hold the perimeter and wait for backup. To not cross a threshold without support or warrant or knowledge of the ground. Eighteen years of decorated service said the same. Procedure. Containment. Logic. Three years ago DS Morris had followed a lead past a similar threshold alone. They found his radio three streets away. They never found the rest of him in a way that made sense. Herrera watched her. His shoulders hunched. His hand still twisted the medallion. They will know you. Once you see, you don't unsee. Quinn switched the torch to her left hand. The worn leather strap of her watch creaked. She reached with her right hand. Her fingers hovered over the bone token. The hooded figure waited, palm steady. The market beyond the barrier breathed. Lanterns swayed. Smoke curled. You coming or you going to stand there all night? Herrera's voice cracked. He took a step back toward the stalls. The crowd parted for him a fraction, then closed. Quinn curled her fingers around the token.
created_at"2026-09-03T08:10:11.099Z" 9/3/2026, 8:10:11 AM
model"meta/muse-spark-1.2-20260805"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2738
moderation_latency(null)
generation_time35240
tokens_prompt1104
tokens_completion2084
native_tokens_prompt989
native_tokens_completion3812
native_tokens_completion_images0
native_tokens_reasoning1944
native_tokens_cached945
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"
usage0.01639775
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788423011-U6w61C1N1HC5crARxmIb"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788423011-K1fZqpO082t87uZuF9xw"
upstream_id"resp_6a992b6332d8440d21b94676"
provider_responses
0
endpoint_id"ffc8e76e-808a-44d2-bd21-c6ac16e721cb"
id"resp_6a992b6332d8440d21b94676"
is_byokfalse
latency396
model_permaslug"meta/muse-spark-1.2-20260805"
provider_name"Meta"
status200
total_cost0.01639775
cache_discount0.0010395
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)
wordCount1390
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)
92.81% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1390
totalAiIsms2
found
0
word"measured"
count1
1
word"weight"
count1
highlights
0"measured"
1"weight"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes widened"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences190
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount4
hedgeCount0
narrationSentences190
filterMatches
0"watch"
1"see"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences190
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen29
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1390
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions68
wordCount1390
uniqueNames19
maxNameDensity1.37
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Soho2
Raven1
Nest2
Quinn19
Christopher1
Herrera18
Charing1
Cross1
Road1
Underground1
Veil1
Market1
Morris2
Tube1
Camden1
Detective1
Rain4
Water4
You6
persons
0"Raven"
1"Quinn"
2"Christopher"
3"Herrera"
4"Market"
5"Morris"
6"Rain"
7"Water"
8"You"
places
0"Soho"
1"Charing"
2"Cross"
3"Road"
globalScore0.817
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences120
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1390
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences190
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs67
mean20.75
std16.41
cv0.791
sampleLengths
040
154
247
32
423
516
62
738
817
93
105
1145
1235
1333
146
1511
168
1718
1841
1958
208
218
224
2333
2414
2531
2626
2733
285
2947
306
317
3265
333
3461
3528
368
375
3835
3929
4010
4116
4212
4325
4419
4510
4637
4737
481
496
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences190
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs243
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences190
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1398
adjectiveStacks0
stackExamples(empty)
adverbCount15
adverbRatio0.01072961373390558
lyAdverbCount1
lyAdverbRatio0.000715307582260372
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences190
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences190
mean7.32
std4.57
cv0.624
sampleLengths
010
116
214
321
47
510
64
712
86
92
109
1116
1214
132
146
152
161
171
182
1911
207
219
222
235
2412
2521
264
275
288
293
305
3110
323
334
3413
3515
3627
373
381
394
409
412
4211
433
448
456
466
475
481
491
55.09% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats12
diversityRatio0.3684210526315789
totalSentences190
uniqueOpeners70
80.81% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences165
matches
0"Then he ran."
1"Then explain it to me."
2"Then at Herrera."
3"Once you see, you don't"
ratio0.024
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount49
totalSentences165
matches
0"Her cropped salt-and-pepper hair darkened"
1"Her brown eyes fixed on"
2"Her sharp jaw set."
3"He turned his collar against"
4"Her boots struck the pavement."
5"She kept to the opposite"
6"He glanced over his shoulder."
7"You don't need to do"
8"He did not look back."
9"She drew no weapon."
10"Her right hand hovered near"
11"He wove through pedestrians with"
12"He knew the streets."
13"He took corners tight and"
14"He saw her gaining."
15"He sprinted for the mouth"
16"He ducked under the gate"
17"She gripped the gate."
18"She pulled her torch from"
19"She ducked under the gate."
ratio0.297
38.79% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount139
totalSentences165
matches
0"The green neon of The"
1"Water ran off the awnings"
2"Harlow Quinn stood in the"
3"Her cropped salt-and-pepper hair darkened"
4"Her brown eyes fixed on"
5"Her sharp jaw set."
6"The worn leather watch on"
7"A figure pushed through the"
8"Saint Christopher medallion caught the"
9"The scar on his left"
10"Quinn knew the face from"
11"The clique used him when"
12"Herrera glanced up and down"
13"He turned his collar against"
14"Her boots struck the pavement."
15"She kept to the opposite"
16"Military precision in the way"
17"Herrera picked up pace."
18"He glanced over his shoulder."
19"Brown eyes met brown eyes"
ratio0.842
90.91% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount3
totalSentences165
matches
0"Now it spread before her,"
1"To hold the perimeter and"
2"To not cross a threshold"
ratio0.018
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences50
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
94.1688%