Run: 2026-11-11-01M7568NCSSF6H3S82KWPGXM40

Run Details

Duration:
29.8s
Cost:
$0.006402
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
The green neon sign over The Raven's Nest buzzed in rain and smeared color across wet stone in Soho. Detective Harlow Quinn ducked beneath the sign and shoved into the bar. Rain soaked her coat and turned her salt-and-pepper hair black at the roots. Her sharp jaw flexed as she scanned the room. Old maps covered the walls of the Nest. Black-and-white photographs crowded the spaces between maps. Lamps threw amber pools over round tables and left the corners in shadow. The bass from a speaker rattled glasses on the bar. Quinn moved past drinkers with military precision and kept her gaze on the back wall. Tomás Herrera sat at the far end of the bar. His short curly dark brown hair clung damp to his forehead. His olive skin showed rain at his temples. His warm brown eyes found Quinn's face and held there. His Saint Christopher medallion swung against his shirt as he turned his head. His scar ran along his left forearm and paled under the lamp when he gripped his glass. Quinn crossed the floor and used her five-foot-nine frame to block his path. She held her cuffs in her left hand and let her worn leather watch knock the bar edge. She planted her boots beside his stool and blocked the route to the bookshelf at the rear wall with her shoulder and hips. "Hands on the bar, Herrera. Metropolitan Police." "You walked in loud, Detective Quinn. Half the Nest clocked that badge." Tomás stood and hauled the medical bag onto his shoulder. The bartender froze with a cloth in his hand. Quinn pointed at the stool and kept her chin up. Her brown eyes stayed on his hands. "Sit and answer questions about the Veil Market and your trips to Camden." "Your questions can wait for morning. A patient needs me where rain cannot reach." He knocked his glass across the bar and sprinted for the bookshelf. The bookshelf swung inward and exposed a hidden back room. Cold air rushed from the gap. Quinn lunged through the opening and shoved past books and dust. "That back room hosts your clique meetings, Herrera. Stop and face me." "Morris noted the Market. His notes brought you to this bar." Tomás crashed through a rear door into the alley. Rain hissed against brick and flung spray into Quinn's face. She landed in a puddle and steadied herself against a crate. She kept the cuffs in her fist and chased his shadow toward Oxford Street. Tomás vaulted a stack of bins and hit the fence at the alley mouth. Quinn climbed the fence, swung her legs over the top rail, and dropped onto wet pavement. Her boots skidded. She struck the rail with her hip and pushed off toward the road. Buses blocked the curb and cabs rushed past in sheets of spray. "Climb faster, Detective. The Market keeper locks the door at midnight." "You run from help, Herrera. That tells me more than your silence." He weaved between a bus and a cab and cut across traffic at the lights. Quinn followed the same line and dodged a taxi with a raised hand. Tires flung water over her legs. She vaulted a bus stop barrier and landed in the bike lane. Her breath rasped in her throat. "Dispatch, Quinn. Herrera runs north on Oxford Street with a medical bag. I need a unit near Camden." Static hissed from her radio shoulder piece. "Channel ten is chaos tonight, Quinn. Hold position and backup will meet you." Quinn clipped the radio to her coat and kept pace with Tomás. Static broke her reply into bursts. She ignored the static and locked her eyes on the bag bouncing against his back. "Tell dispatch I carry gauze and morphine, Detective. Tell them the truth for once." A cyclist struck a drain cover and fell into the bike lane. The man grabbed his knee and shouted. Tomás stopped mid-stride and dropped beside him. He opened the medical bag and pulled a pad and bandage from a zip pocket. Quinn reached his side and seized his collar with one hand. "Hold pressure on that pad. Keep his leg still and keep him talking." "You stop for strangers and run from police. Explain that choice before I cuff you." Quinn pressed her palm over the pad and held pressure. Tomás wrapped the bandage around the cyclist's knee and checked the man's pupils with a small torch. He tied the knot, patted the man's shoulder, and rose. He sprinted toward Tottenham Court Road Tube station. Quinn rose behind him and matched his stride. "Seville sent me to the NHS. The NHS cut my license when I treated patients off the books." Tomás vaulted the ticket gate and landed on the platform side. Commuters shouted and stepped back from his bag. Quinn jumped the gate and landed hard on concrete. She flashed her badge at a guard and pointed toward the northbound tunnel. The guard pointed at the escalator and waved her through. "Police! Clear the escalator!" Tomás took the escalator two steps at a time and burst into rain at the Camden exit. Quinn rode the escalator behind him and ran up the final flights. She emerged onto Camden High Street and spotted his bag under a market awning. He cut left past stalls and shuttered shops. Quinn chased him through crowds with umbrellas and wet cardboard. He reached an abandoned Tube entrance beneath Camden and hammered a steel door with his fist. A slit opened at eye level. Tomás held a bone token to the slit. The slit shut. The door swung inward and released voices, music, and the scent of herbs and hot metal. "Market rule, Detective. No bone token, no entry. Turn back and save your badge." Quinn peered past his shoulder into a vaulted hall. Stalls crowded the old platform. Sellers displayed bottled light, dried roots, and vials of alchemical substances under strings of bulbs. Buyers bargained over enchanted goods and whispered information at low tables. A keeper in a long coat stepped across the doorway and spread his arms from frame to frame. "Badge or token, Detective. Show one and step through clean." "Step aside. I chase a fugitive through that door and I answer to a judge at dawn." Quinn checked the worn leather watch on her left wrist. The second hand ticked against the noise from the hall. DS Morris died three years ago on a case with marks no report explained. Her radio spat static and fell silent. She shifted her weight and stared at the token in Tomás's palm. "The Market moves every full moon, Detective. People vanish inside it and judges never ask where." "You treat people the law abandons and you hide people the law needs. Both facts sit in my notebook." "Hide patients from men with cuffs and notebooks. Come inside and watch me work, if your nerve holds." Quinn pocketed the radio and tucked the cuffs into her coat pocket. She lifted her chin and met the keeper's stare. She pushed past his arm through the doorway and stepped onto the platform stairs. Tomás backed into the market lights and kept his eyes on her face as she descended toward the stalls.
created_at"2026-11-11T11:35:35.583Z" 11/11/2026, 11:35:35 AM
model"meta/muse-ember-20261109"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2046
moderation_latency(null)
generation_time29722
tokens_prompt1104
tokens_completion1996
native_tokens_prompt1004
native_tokens_completion12773
native_tokens_completion_images0
native_tokens_reasoning11075
native_tokens_cached884
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"default"
usage0.006402036
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer(null)
request_id"req-1794396935-Z2dk2l6rfJAtO5jBYoNp"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1794396935-vQsbTMJ0aNbIUiZfMwIi"
upstream_id"resp_6af45308d5c07283e91146e8"
provider_responses
0
endpoint_id"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id"resp_6af45308d5c07283e91146e8"
is_byokfalse
latency1064
model_permaslug"meta/muse-ember-20261109"
provider_name"Meta"
status200
total_cost0.006402036
cache_discount0.000084864
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)
wordCount1210
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)
87.60% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1210
totalAiIsms3
found
0
word"scanned"
count1
1
word"silence"
count1
2
word"weight"
count1
highlights
0"scanned"
1"silence"
2"weight"
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
narrationSentences83
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences83
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences104
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen23
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1210
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
47.74% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions52
wordCount929
uniqueNames18
maxNameDensity2.05
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Raven1
Nest2
Soho1
Harlow1
Quinn19
Herrera1
Saint1
Christopher1
Oxford1
Street2
Tomás12
Tottenham1
Court1
Road1
Tube2
Camden3
High1
Morris1
persons
0"Raven"
1"Nest"
2"Harlow"
3"Quinn"
4"Herrera"
5"Saint"
6"Christopher"
7"Tomás"
8"Morris"
places
0"Soho"
1"Oxford"
2"Street"
3"Tottenham"
4"Court"
5"Road"
6"Tube"
7"Camden"
8"High"
globalScore0.477
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences80
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1210
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences104
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs40
mean30.25
std20.01
cv0.661
sampleLengths
053
153
269
354
47
512
636
713
814
939
1012
1111
1244
1358
1411
1512
1652
1718
187
1913
2033
2114
2252
2313
2415
2553
2618
2751
284
2961
3049
3114
3258
3310
3417
3553
3616
3719
3818
3954
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences83
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs159
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences104
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount936
adjectiveStacks0
stackExamples(empty)
adverbCount3
adverbRatio0.003205128205128205
lyAdverbCount2
lyAdverbRatio0.002136752136752137
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences104
echoCount0
echoWords(empty)
72.90% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences104
mean11.63
std3.87
cv0.332
sampleLengths
019
112
213
39
48
57
613
710
815
910
1011
118
1210
1313
1417
1513
1618
1723
187
1912
2010
219
2210
237
2413
2514
2612
2710
286
2911
3012
3111
329
3310
3411
3514
3614
3716
383
3913
4012
4111
4212
4315
4413
456
4612
476
4818
497
53.85% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.375
totalSentences104
uniqueOpeners39
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences83
matches(empty)
ratio0
80.24% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount29
totalSentences83
matches
0"Her sharp jaw flexed as"
1"His short curly dark brown"
2"His olive skin showed rain"
3"His warm brown eyes found"
4"His Saint Christopher medallion swung"
5"His scar ran along his"
6"She held her cuffs in"
7"She planted her boots beside"
8"Her brown eyes stayed on"
9"He knocked his glass across"
10"She landed in a puddle"
11"She kept the cuffs in"
12"Her boots skidded."
13"She struck the rail with"
14"He weaved between a bus"
15"She vaulted a bus stop"
16"Her breath rasped in her"
17"She ignored the static and"
18"He opened the medical bag"
19"He tied the knot, patted"
ratio0.349
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount79
totalSentences83
matches
0"The green neon sign over"
1"Detective Harlow Quinn ducked beneath"
2"Her sharp jaw flexed as"
3"Lamps threw amber pools over"
4"The bass from a speaker"
5"Quinn moved past drinkers with"
6"Tomás Herrera sat at the"
7"His short curly dark brown"
8"His olive skin showed rain"
9"His warm brown eyes found"
10"His Saint Christopher medallion swung"
11"His scar ran along his"
12"Quinn crossed the floor and"
13"She held her cuffs in"
14"She planted her boots beside"
15"Tomás stood and hauled the"
16"The bartender froze with a"
17"Quinn pointed at the stool"
18"Her brown eyes stayed on"
19"He knocked his glass across"
ratio0.952
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences83
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences56
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
84.7444%