Run: 2026-09-03-01M1K5705789XYS8DFXAH3PW79

Run Details

Duration:
39.5s
Cost:
$0.016077
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. Water struck the pavement in sheets and bounced back in spray. The green neon of The Raven's Nest bled down the wet brick and pooled in the gutter. Harlow Quinn stood under the awning opposite, collar up, hands in pockets, watch strap dark with damp against her left wrist. The door opened. Light cut across the pavement. A figure slipped out, hood up, shoulders hunched against the weather. He moved with purpose, too much purpose for a drunk at midnight on a Tuesday. Harlow clocked the gait. She knew that walk. She had chased it through case files for three weeks. She crossed the street. The pavement shone black under her boots. The wind drove rain into her face. "You. Stop. Police." The figure froze for half a breath. Then he bolted. Harlow broke into a run. Her feet slapped concrete. Water exploded under each stride. The suspect cut left down Wardour Street, hood flying back, face pale and slick in the streetlight. "Stop running!" He vaulted a stack of crates outside a shuttered kebab shop. Harlow vaulted after him. Her cropped salt-and-pepper hair plastered to her scalp. Rain needled her brown eyes. Her jaw set hard. He hit Brewer Street at speed and shouldered through a knot of people huddled under umbrellas. They scattered. Harlow cut through the gap they left, arm slicing the air for balance, watch face catching a flash from a passing taxi. "You corner yourself, you make this worse!" He did not answer. He turned north. His trainers hissed on wet tarmac. Harlow's radio crackled at her hip. She ignored it. Her breath burned in her chest. Eighteen years on the job taught her how to pace a chase, how to keep the torso low, how to read an alley before she entered it. This suspect knew the streets. He took the cut-through behind the theatre, the one that stank of bins and piss, and Harlow followed. Brick walls pressed close. The rain turned to a vertical curtain between them. She closed distance. Five metres. Four. He burst out onto Oxford Street. Traffic smeared light across the road. Buses threw up walls of water. He dodged between them with a recklessness that forced brakes to scream. Horns blared. Harlow waited half a second, timed the gap, and sprinted. A double-decker flung spray across her legs. Cold soaked through her trousers to the skin. He headed north. Camden. Always Camden. Her phone vibrated in her pocket. She snatched it out while she ran, thumb slick on the screen. "Harlow. Where are you." Tomás Herrera's voice fought the rain and the traffic. Spanish accent thickened when he spoke fast. "Foot chase. Soho to Camden. Male, twenties, grey hooded top. I need an ID on Veil traffic tonight." "You chase a ghost on a night like this? You want to get killed?" "It came out of the Nest. The Nest is cold for three nights. Now this kid walks out the back. Through the bookshelf." A pause on the line. Harlow heard Tomás exhale. "The bookshelf. You saw him use it?" "I saw the gap in the wall. Maps and photos and then a black line where no black line should be. He came out wrong. He looked wrong." She dodged a pedestrian, shoulder clipping a shopfront. The rain drilled her shoulders. "The market moves tonight. Full moon. You know this." "I know." "It sits under Camden now. Abandoned station. You go down there without a token, you don't come back up clean." Harlow's left forearm ached with cold. The suspect turned again, toward the side streets that fed the Tube. His hooded top clung to his back and showed the sharp blades of his shoulders. He glanced back. Streetlight caught his face. Fear. Not bravado. The look of a courier who knew he carried something that bit. "Does he have one?" "Who?" "The bone token. Entry." Tomás gave a short laugh with no humour in it. "Ask him. He will tell you before he slits your throat." She ended the call. She pocketed the phone. Her watch ticked against her pulse. The suspect reached the railings above the disused entrance on Camden High Street. The station had closed in the nineties. Boards covered the doors. Graffiti snarled across the metal shutters. A service gate stood ajar, chain cut, links glinting wet on the ground. He did not slow. He slipped through the gate and vanished into darkness. Harlow reached the railings. She planted a hand on the wet iron and vaulted. She landed in a puddle that soaked her boots. The gate yawned. Beyond it a concrete stairwell dropped down into a throat of black. Rain drummed on the corrugated roof above and found its way in, pattering on concrete steps. Cold air breathed out of the stairwell. It smelled of wet stone and old soot and something else, something sweet and coppery underneath, like incense burned over blood. She unclipped the small torch from her belt. She thumbed it on. The beam cut a white cone down the steps. Water ran in rivulets down the centre channel. Footsteps echoed from below. Not the splash of a runner. The deliberate tap of a heel on tile. Then another sound. Low murmur. Voices. Many voices. The hum of a crowd where no crowd should be. Harlow took the first step down. Her boot found slick concrete. Her hand brushed the wall for balance. Moss slicked the brick under her palm. The stairwell turned. The sound grew louder. At the bottom a set of old ticket barriers stood rusted and bent. Beyond them light flickered. Not electric. Firelight. Lanterns. The platform stretched away into a vault that should not exist on any map. Stalls crowded the length of it. Tarpaulins strung between pillars. Steam rose from grates. Figures moved between stalls, hooded, masked, some with skin that caught the lantern light in ways skin should not. The Veil Market. She had heard the name in whispers from informants and in the fever talk of survivors Tomás patched up off the books in a flat above a laundrette. The olive skin of his hands, the scar along his left forearm white under harsh light, the Saint Christopher medallion swinging as he worked. He spoke of it as a place that traded in things London pretended did not exist. Enchanted goods. Banned alchemical substances. Information with a price tag written in bone. Her suspect stood at the barrier. He fished something from his pocket. In the lantern light it gleamed ivory. A bone token, small as a coin, pierced through with a hole. He pressed it to the rusted gate. The gate shivered. A soft click ran through the metal, like a lock turning with no hand on it. He pushed through and merged with the crowd. Harlow stepped to the barrier. The torch beam shook in her grip. Rain dripped from her hair onto her collar. A woman tended a stall three metres beyond the gate. Her eyes reflected amber, vertical slits narrowing against the light. She watched Harlow. Her smile showed too many teeth. "You lost, love?" Harlow's hand hovered near the baton at her belt. Not a gun. She had left the firearm locked in the station safe after the inquiry. Military precision lived in her spine, in the set of her shoulders, in the way she planted her feet hip-width apart even on wet tile. "I need passage." The woman tilted her head. Her gaze dropped to Harlow's empty palm. "No token, no trade. No trade, no entry. House rules." Harlow looked past the barrier. The suspect moved between stalls, head down, weaving toward the far end where a man in a heavy coat waited under a station clock frozen at 3:15. An exchange. She saw the shape of a package under the suspect's top, taped to his ribs. If she went back for a warrant, the market moved with the full moon and vanished to another station. The trail went cold. Another case folded into fog like DS Morris three years ago, unexplained, unsolved, the file stamped and shelved while Harlow stared at the wall and asked why a good cop bled out in an empty underpass with no cause of death the coroner could name. If she went forward without a token, she broke protocol. She entered a jurisdiction with no backup, no law, no guarantee the gate opened for her at all. Tomás patched bodies that came out of that place. Some bodies never came out. Footsteps approached from behind. She turned. Tomás stood at the top of the stairs, chest heaving, coat soaked through, medallion dark against his throat. Water dripped from his short curls. The scar on his forearm stood pale in the torchlight. "You followed." "You run toward trouble, I run after. Old habit." He came down two steps, then stopped at the barrier line. He looked at the stalls, at the amber-eyed woman, at Harlow's hand on the rusted gate. "You have no token. You cross this line, you pay with something else." The suspect reached the man by the clock. Hands moved. Package changed hands. Harlow's fingers tightened on the gate. Cold bit into her skin. The lantern light threw her shadow long across the platform. "You go or you don't, Harlow. But you choose now." The gate waited. The crowd breathed. The suspect turned his head, saw her at the barrier, and his eyes widened in the firelight.
created_at"2026-09-03T08:12:23.597Z" 9/3/2026, 8:12:23 AM
model"meta/muse-spark-1.2-20260805"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3359
moderation_latency(null)
generation_time39426
tokens_prompt1104
tokens_completion2351
native_tokens_prompt989
native_tokens_completion3492
native_tokens_completion_images0
native_tokens_reasoning1358
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"
usage0.01607725
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788423143-4GHDvfWJK8MeLxRTOazT"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788423143-9Qa5CKJyRoO4x5U1d7YZ"
upstream_id"resp_6a992be7bdc823fbf9914fd3"
provider_responses
0
endpoint_id"ffc8e76e-808a-44d2-bd21-c6ac16e721cb"
id"resp_6a992be7bdc823fbf9914fd3"
is_byokfalse
latency905
model_permaslug"meta/muse-spark-1.2-20260805"
provider_name"Meta"
status200
total_cost0.01607725
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)
wordCount1583
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)
74.73% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1583
totalAiIsms8
found
0
word"vibrated"
count1
1
word"pulse"
count1
2
word"glinting"
count1
3
word"footsteps"
count2
4
word"echoed"
count1
5
word"flickered"
count1
6
word"electric"
count1
highlights
0"vibrated"
1"pulse"
2"glinting"
3"footsteps"
4"echoed"
5"flickered"
6"electric"
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
narrationSentences171
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount0
narrationSentences171
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences194
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen45
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1583
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
77.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions61
wordCount1376
uniqueNames24
maxNameDensity1.45
worstName"Harlow"
maxWindowNameDensity2.5
worstWindowName"Harlow"
discoveredNames
Soho1
Raven1
Nest1
Quinn1
Tuesday1
Wardour1
Street4
Brewer1
Harlow20
Oxford1
Camden3
Herrera1
Tomás6
Tube1
High1
Veil1
Market1
Saint1
Christopher1
London1
Morris1
Rain4
Water4
Cold3
persons
0"Raven"
1"Nest"
2"Quinn"
3"Harlow"
4"Herrera"
5"Tomás"
6"Market"
7"Saint"
8"Christopher"
9"Morris"
10"Rain"
11"Water"
12"Cold"
places
0"Soho"
1"Wardour"
2"Street"
3"Brewer"
4"Oxford"
5"Camden"
6"High"
7"London"
globalScore0.773
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences98
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1583
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences194
matches
0"knew that walk"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs71
mean22.3
std20.02
cv0.898
sampleLengths
03
149
23
349
44
514
63
710
85
926
102
1132
1240
137
1413
1578
166
1732
1825
196
2018
214
2216
2318
2414
2523
269
277
2828
2913
309
312
3220
3355
344
351
364
3710
3811
3914
4043
4113
4254
4328
4429
4536
4625
477
4868
493
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences171
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs232
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences194
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1382
adjectiveStacks1
stackExamples
0"white under harsh light,"
adverbCount15
adverbRatio0.01085383502170767
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences194
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences194
mean8.16
std6.48
cv0.794
sampleLengths
03
111
217
321
43
55
611
715
84
94
1010
114
127
137
143
157
163
175
184
195
2017
212
2211
234
248
255
264
2716
282
2922
307
314
323
336
346
353
366
3727
385
3918
404
419
423
432
441
456
466
476
4812
492
45.88% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats16
diversityRatio0.3247422680412371
totalSentences194
uniqueOpeners63
43.57% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences153
matches
0"Then he bolted."
1"Then another sound."
ratio0.013
86.67% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount51
totalSentences153
matches
0"He moved with purpose, too"
1"She knew that walk."
2"She had chased it through"
3"She crossed the street."
4"Her feet slapped concrete."
5"He vaulted a stack of"
6"Her cropped salt-and-pepper hair plastered"
7"Her jaw set hard."
8"He hit Brewer Street at"
9"He did not answer."
10"He turned north."
11"His trainers hissed on wet"
12"She ignored it."
13"Her breath burned in her"
14"He took the cut-through behind"
15"She closed distance."
16"He burst out onto Oxford"
17"He dodged between them with"
18"He headed north."
19"Her phone vibrated in her"
ratio0.333
18.82% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount135
totalSentences153
matches
0"Water struck the pavement in"
1"The green neon of The"
2"Harlow Quinn stood under the"
3"The door opened."
4"A figure slipped out, hood"
5"He moved with purpose, too"
6"Harlow clocked the gait."
7"She knew that walk."
8"She had chased it through"
9"She crossed the street."
10"The pavement shone black under"
11"The wind drove rain into"
12"The figure froze for half"
13"Harlow broke into a run."
14"Her feet slapped concrete."
15"Water exploded under each stride."
16"The suspect cut left down"
17"He vaulted a stack of"
18"Harlow vaulted after him."
19"Her cropped salt-and-pepper hair plastered"
ratio0.882
65.36% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences153
matches
0"If she went back for"
1"If she went forward without"
ratio0.013
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences51
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
90.2119%