Run: 2026-07-25-01KYD5AAHYXMF8TD5XFQR5DXMD

Run Details

Duration:
17.0s
Cost:
$0.009983
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. It slicked the pavement black and turned the streetlights into smeared halos. Harlow Quinn kept her head down, collar up, hand inside her jacket around the grip of her sidearm. The kid in front of her— twenty-two, meth teeth, hoodie soaked through — glanced over his shoulder. Saw her. He bolted. Quinn broke into a run. Her boots slapped water. The worn leather strap of her watch cut into her left wrist with every pump of her arms. "Stop! Metropolitan Police!" The kid vaulted a stack of milk crates outside a shuttered deli. Quinn hit them shoulder-first. Plastic scattered. Milk gone sour in the rain. He cut left down Greek Street, feet barely touching ground. Quinn cut the corner tighter. Her knee twinged, old injury, she ignored it. Eighteen years taught her how to run through pain. The Raven's Nest bled green neon onto the wet bricks ahead. Its sign buzzed, sputtered. THAT distinctive green neon sign. Through the window she saw Silas wiping glasses. Heads turned at the bar inside as the kid slammed past the entrance, as Quinn followed, breath sawing. She lost him for half a second in the crowd of smokers huddled under the awning. Then a flash of grey hoodie diving into the alley beside the bar. Quinn went after. The alley stank of piss and fryer oil. Bins overflowed. The kid scrambled over a chain-link fence. Too slow. Quinn grabbed his ankle. He kicked. Heel connected with her sharp jaw. Light burst behind her eyes. She tasted copper. Let go. He dropped on the other side and kept running. Quinn hauled herself up, salt-and-pepper crop dripping rain into her brown eyes. She blinked it away. Vaulted. Landed hard. Pain shot up her shin. The kid wasn't fast anymore. He limped. "You're done! Ground, now!" He didn't. He reached the end of the alley where it met the service road behind the theatres and yanked open a rusted metal door set into the brick. No handle on this side. Someone left it propped. He slipped inside. Quinn reached the door two seconds later. Cold air breathed out, freighted with damp stone and diesel and something else — something sweet, like incense burning under water. Emergency exit for the disused service tunnels. Closed since the seventies. She knew the maps. She keyed her radio. "Quinn to dispatch. Foot pursuit, suspect male, white, early twenties, grey hood. Entering underground service tunnels off Greek Street service road. Possible narcotics." Static. Then a voice shredded by concrete. "Copy that, Detective. Backup en route... five minutes... maintain..." Five minutes was a lifetime down here. She pushed through. Darkness swallowed her. The rain cut off, replaced by the steady drip of groundwater on concrete. Her phone torch came on. Narrow beam. The tunnel stretched, curved, graffiti peeled. Footsteps echoed ahead. Too many echoes. "Police! I see you!" He ran faster. Quinn chased the sound. The tunnel split. Left toward Leicester Square. Right — blocked by a temporary fence, a sign: LIN E CLOSED. UNSAFE. The fence had been cut. Fresh steel gleam. He went right. Quinn ducked through. Her active beam caught his shoe disappearing around a bend where the concrete gave way to older brick, Victorian brick, slick with black mold. The air grew colder. Then the tunnel opened. Not into another tunnel. Into a station. An abandoned Tube station she didn't have on any file. Tiles cracked, posters from 1982 still clinging. And light. Amber light, swaying lanterns. Noise. A market. Stalls crowded the platform, tents stitched from tarp and old Underground line maps. Vendors hawked jars of something that moved, knives that hummed, vials that smoked despite the cold. The crowd — Quinn stopped, chest heaving — the crowd wasn't right. Eyes reflected too much light. Teeth too sharp. A woman with bark for skin argued over price with a man whose shadow didn't match his body. The Veil Market. She'd heard the name in whispers after Morris died. Thought it was a myth junkies told. The grey hoodie pushed through them, knocking over a crate of what looked like teeth. He fumbled at his neck and held something up — a small yellowed token, pitted, a hole through the centre. Bone token. A vendor by an archway nodded and let him past, down the inactive track bed, where more lights glowed deeper. The entry requirement. Quinn stepped onto the platform. Heads turned. Conversation dimmed. Every instinct she'd honed over eighteen years screamed. Military precision taught her to assess, to hold lines. This was beyond her line. This was off the map. Her phone showed no signal. The walls pressed. She stepped up to the archway vendor. Old man, eyes milky white, no pupils. "You need token." Quinn kept her hand on her weapon. "I need that kid. He assaulted an officer. He's carrying." The old man smiled. Gums black. "Not here. Here he pays passage. You pay passage." Movement in the crowd behind her. Someone big, slotted her path back to the fence. She didn't need to look. She reached into her pocket, found the only thing she had — a pound coin, a paperclip, Morris's old house key she never threw away. She slapped the key onto the counter. "That enough?" The vendor laughed, a wet sound. "No." A hand landed on her shoulder. Warm, solid. Quinn spun, fist cocked. Tomás Herrera caught her wrist. Rain still in his short curly dark brown hair, olive skin beaded with damp, paramedic jacket unzipped despite the cold. His Saint Christopher medallion glinted under the lantern light. The scar along his left forearm caught shadow. "Easy, Harlow. You don't want to do that." "What are you doing here?" "Following you. You ran past the Nest like a bat. Silas called me." Quinn jerked her chin toward the tracks. "He went down there. I need to—" "I know what that place is. You don't." Tomás pulled her three steps back, out of earshot of the vendor, into the lee of a pillar covered in train timetables. "That kid? He's not your problem now. Whatever he took, whoever he owes, he paid with that token. You go down onto those tracks without one, they take something else. Remember what you told me about Morris? How you found him?" Quinn's jaw set. Three years. Unexplained. Bloodless, eyes open. "Morris came down here." "You think so." "I know he did." Tomás looked at her, warm brown eyes steady. "Then you know this place killed him. You go down there with a gun and a badge and they will eat the badge first." Quinn stared past him to the archway. The grey hoodie was gone. Lantern light flickered on the rails. "You have a token?" she asked. Tomás's hand went to his neck. He hesitated. Then pulled the cord out from under his shirt. On it, beside the medallion, a bone token, identical to the kid's, yellowed, drilled. "You did? You're—" "I patch people who come out of here wrong. Sometimes they pay weird. I kept it." He looked at the token, then at her. He lifted the cord over his head. "You shouldn't." He pressed the bone into her palm. Cold. Lighter than it should be. "If you go, you go fast. You do not look at the stalls on the tracks. You do not take anything offered. You get the kid and you get out before the full moon moves it. You understand?" Quinn closed her fist. The bone bit into skin. "I understand." "You do not. But you will go anyway." Quinn nodded once. She turned back to the vendor, held up the token. He sniffed the air. "Passage." She stepped onto the track bed. Ballast crunched under her boots. The air turned thick, sweet incense stronger. Whispers curled off the deeper lanterns ahead, where the tunnel curved into dark that no Tube line should have. Behind her Tomás called. "Harlow!" She didn't stop. The darkness swallowed the platform behind her.
created_at"2026-07-25T17:31:40.487Z" 7/25/2026, 5:31:40 PM
model"meta/muse-spark-1.1-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1940
moderation_latency(null)
generation_time16846
tokens_prompt1104
tokens_completion2000
native_tokens_prompt1132
native_tokens_completion2016
native_tokens_completion_images0
native_tokens_reasoning209
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"
usage0.009983
router(null)
provider_responses
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endpoint_id"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id"resp_6a64f2fc62f0b25194824664"
is_byokfalse
latency283
model_permaslug"meta/muse-spark-1.1-20260709"
provider_name"Meta"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1785000700-KpVKgmGXlYlC3gAQxSNl"
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api_type"completions"
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total_cost0.009983
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upstream_inference_cost0
provider_name"Meta"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences29
tagDensity0.034
leniency0.069
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1326
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)
84.92% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1326
totalAiIsms4
found
0
word"footsteps"
count1
1
word"echoed"
count1
2
word"echoes"
count1
3
word"flickered"
count1
highlights
0"footsteps"
1"echoed"
2"echoes"
3"flickered"
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
narrationSentences159
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences159
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences187
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen41
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1333
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
56.80% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions44
wordCount1073
uniqueNames19
maxNameDensity1.86
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Soho1
Quinn20
Greek1
Street1
Raven1
Nest1
Silas1
Leicester1
Square1
Victorian1
Tube2
Underground1
Veil1
Market1
Morris2
Herrera1
Saint1
Christopher1
Tomás5
persons
0"Quinn"
1"Raven"
2"Nest"
3"Silas"
4"Morris"
5"Herrera"
6"Saint"
7"Christopher"
8"Tomás"
places
0"Soho"
1"Greek"
2"Street"
3"Leicester"
globalScore0.568
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences70
glossingSentenceCount1
matches
0"looked like teeth"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1333
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences187
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs96
mean13.89
std12.78
cv0.92
sampleLengths
03
130
219
32
427
53
624
732
846
929
103
1123
1213
135
149
1524
167
174
1841
1928
2015
214
2223
237
249
257
263
2729
286
294
303
3124
328
333
3427
354
364
377
3824
392
4067
4119
4235
4322
443
459
4627
478
4814
493
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences159
matches
0"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs200
matches(empty)
51.18% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount8
semicolonCount0
flaggedSentences6
totalSentences187
ratio0.032
matches
0"The kid in front of her— twenty-two, meth teeth, hoodie soaked through — glanced over his shoulder."
1"Cold air breathed out, freighted with damp stone and diesel and something else — something sweet, like incense burning under water."
2"Right — blocked by a temporary fence, a sign: LIN E CLOSED."
3"The crowd — Quinn stopped, chest heaving — the crowd wasn't right."
4"He fumbled at his neck and held something up — a small yellowed token, pitted, a hole through the centre."
5"She reached into her pocket, found the only thing she had — a pound coin, a paperclip, Morris's old house key she never threw away."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1071
adjectiveStacks0
stackExamples(empty)
adverbCount24
adverbRatio0.022408963585434174
lyAdverbCount3
lyAdverbRatio0.0028011204481792717
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences187
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences187
mean7.13
std6.41
cv0.899
sampleLengths
03
112
218
317
42
52
65
74
818
93
1012
114
122
136
1410
155
168
179
1811
194
205
218
2218
2316
2413
253
268
272
287
292
304
312
326
335
343
352
369
3712
384
391
402
415
425
432
444
452
4627
475
484
493
70.77% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.44385026737967914
totalSentences187
uniqueOpeners83
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount5
totalSentences132
matches
0"Then a flash of grey"
1"Then a voice shredded by"
2"Too many echoes."
3"Then the tunnel opened."
4"Then pulled the cord out"
ratio0.038
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount33
totalSentences132
matches
0"It slicked the pavement black"
1"Her boots slapped water."
2"He cut left down Greek"
3"Her knee twinged, old injury,"
4"Its sign buzzed, sputtered."
5"She lost him for half"
6"She tasted copper."
7"He dropped on the other"
8"She blinked it away."
9"He reached the end of"
10"He slipped inside."
11"She knew the maps."
12"She keyed her radio."
13"She pushed through."
14"Her phone torch came on."
15"He ran faster."
16"He went right."
17"Her active beam caught his"
18"She'd heard the name in"
19"He fumbled at his neck"
ratio0.25
47.12% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount109
totalSentences132
matches
0"It slicked the pavement black"
1"Harlow Quinn kept her head"
2"The kid in front of"
3"Quinn broke into a run."
4"Her boots slapped water."
5"The worn leather strap of"
6"The kid vaulted a stack"
7"Quinn hit them shoulder-first."
8"Milk gone sour in the"
9"He cut left down Greek"
10"Quinn cut the corner tighter."
11"Her knee twinged, old injury,"
12"The Raven's Nest bled green"
13"Its sign buzzed, sputtered."
14"THAT distinctive green neon sign."
15"Heads turned at the bar"
16"She lost him for half"
17"Quinn went after."
18"The alley stank of piss"
19"The kid scrambled over a"
ratio0.826
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences132
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences30
technicalSentenceCount1
matches
0"Vendors hawked jars of something that moved, knives that hummed, vials that smoked despite the cold."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences29
tagDensity0.034
leniency0.069
rawRatio0
effectiveRatio0
90.3597%