Run: 2026-11-11-01M754HN6DRBKP9YSW269C0HNZ

Run Details

Duration:
23.6s
Cost:
$0.005068
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="4412" name="Aurora Carter" aliases="Rory, Laila, Aurora, Carter, Malphora" pronouns="she/her" species="Human" storyRole="Protagonist"> <eyeColor>bright blue</eyeColor> <hair>straight shoulder-length black</hair> <height>5'6"</height> <age>25</age> <scar>small crescent-shaped scar on her left wrist from a childhood accident</scar> <description>Aurora, referred to by her friends as Rory, is cool-headed, intelligent, and known for quick out-of-the-box thinking.</description> <backstory>Born in Cardiff to an Irish barrister father (Brendan Carter) and Welsh teacher mother (Jennifer Carter née Ellis), Rory reluctantly pursued Pre-Law at Cardiff University. She fled to London at the behest of her childhood friend Eva after leaving an abusive ex named Evan. By day, Rory works part-time as a delivery person for Yu-Fei Cheung's Golden Empress restaurant. She lives in a flat above Silas' bar.</backstory> </character> <character id="4413" name="Silas Blackwood" aliases="Silas, Si, the Spymaster" pronouns="he/him" species="Human" storyRole="Mentor"> <eyeColor>hazel</eyeColor> <hair>grey-streaked auburn</hair> <height>6'1"</height> <age>58</age> <beard>neatly trimmed, matching his grey-streaked auburn hair</beard> <limp>slight limp in his left leg from an old knee injury</limp> <signetRing>silver signet ring, always worn on his right hand</signetRing> <description>Silas is a retired intelligence operative turned bar owner. He carries himself with quiet authority.</description> <backstory>Former MI6 field agent who retired after a botched operation in Prague left him with a permanent knee injury. He opened "The Raven's Nest" bar in Soho as a front for his network of contacts.</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> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the literary fiction genre. Two old friends who haven't seen each other in years run into each other unexpectedly at a bar. One of them has changed significantly. Through their conversation and the tension between who they were and who they've become, reveal the weight of time and unspoken regret. 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 drummed on the green neon sign above The Raven's Nest and scattered light across the pavement on Old Compton Street. Rory ducked under the awning with a Golden Empress delivery bag on her forearm and a damp Cardiff University hoodie clinging to her back. She pushed the bar door with her shoulder. The bell above the door rang. Wet air from the street followed her inside. Lemon peel and spilled beer rose from the floorboards. Old maps stretched across the wall behind the bottles. Black-and-white photographs showed men in suits beside a Prague tram and a boat on the Thames. Dim light pooled over the bar top and left the corners in shadow. A customer at the far end read a newspaper. Rory crossed the room toward the stairs to her flat and her trainers squeaked on the wood. Silas wiped a glass behind the bar with a cloth. Grey streaks ran through his auburn hair. His beard matched those grey streaks and framed his jaw. Hazel eyes lifted from the glass and found her face. He shifted weight from his left knee and the silver signet ring on his right hand tapped the bar top. Rory stopped before the stairs. The delivery bag slipped from her forearm and knocked her shin. She caught the handle and held the soup tubs level. "Rory." He set the glass down on a towel. His limp pulled his stride short when he came around the end of the bar. "Si." She stared at the beard and the grey in his hair and the ring she remembered on her father's desk in Cardiff. Rain stung her bright blue eyes. She pushed her black hair back from her face with her left hand. The small crescent scar on her left wrist caught the light. "You cut your hair." She pulled her sleeve down over the scar. "Eva took scissors to it in Cardiff." He looked at the sleeve and then at her face. "How long ago?" "Four years." He picked up a clean glass from the rack and set it in front of a stool. "Sit and drink water. Your shift put rain in your hoodie." She sat on the stool and kept the delivery bag between her feet. The stool put her at bar height and brought her eye to eye with him. He stood a head taller than her and the top of her head reached his chin in front of the bottles. She remembered the same gap in the kitchen in Cardiff when she stood at the table and he leaned over a chessboard and moved a knight to a square she had missed. "You still play chess?" he asked through action? No, dialogue needs stand alone. Let's continue proper. He turned to the taps and drew water into the glass. "You still play chess, bach?" "Yu-Fei put a board behind the till at Golden Empress. I beat the drivers on my break." "And law?" She wrapped both hands round the glass. Steam from the soup bag rose past her knees and mixed with the smell of lemon peel. She thought of the pre-law textbooks in a box under her bed in the flat upstairs and the unopened post from Cardiff University that she had stacked beside the sink. Her thumb pressed a dent into the paper cup in her memory of the last exam letter. "I dropped it after the first term. I work deliveries now. Dad took that news like a brief he lost." "Brendan missed the verdict and blamed the jury. Jennifer sent you books for a reason." "She sent books. I sent back money for the train fare. Eva does the talking between us now." He set the glass of water in front of her and kept his hand on the bar top. The signet ring tapped the wood once and then stopped. "Silas Blackwood poured drinks for spies and called it tradecraft. Now you pour water for delivery girls. Eva must have briefed you well." "Silas Blackwood retired from MI6 after Prague. I pour drinks for whoever walks in with rain on their shoulders. The bar pays rent. The knee sets the pace." "A knee from a botched job in Prague, Si. You limped into Cardiff with that story and out again before tea went cold. Brendan kept your photograph. Mum kept your number in the drawer with the takeaway menus. I kept both and used neither." He pulled a bottle of gin from the shelf and poured a measure for the customer with the newspaper. The customer put coins on the bar and left the newspaper folded over the stool. Silas carried the glass to the far end and set it down. His left leg dragged a fraction behind his right on the turn back. The floorboards creaked under his heel. "I kept your exam letter in the back room. Top drawer. Under the contact book from that year. I read it when the bar went quiet and I put it back in the envelope each time." "You read my rejection letter?" "I read Brendan's letter about you. He asked me to watch the flat. He asked me to keep Evan from the stairs. Eva rang me in Prague three weeks after she rang Eva. By then you had changed the lock and left London for a fortnight with Eva in a bedsit in Camden." She pulled the sleeve down farther and the cuff caught on the scar. The crescent mark rose pale from her wrist, a mark from a fall off a bike in Cardiff at nine years old, a mark her mother had touched with ointment and a warning about traffic. Her hand shook round the water glass and water jumped against the rim. "Evan checked my phone. He checked my bag. He stood in the hall and called it love. Eva got me out by the service door at Golden Empress. Yu-Fei Cheung gave me shifts and a room above a bar he trusts. I paid Eva back by not calling her for six months." "Yu-Fei owes me a favour from the nineties. He runs a restaurant front and a kitchen that feeds half of Soho. He told me a Cardiff girl worked his deliveries and thought out of the box on routes. He named you Rory. I thought he meant a different Rory." She lifted the water glass and drank. Cold water ran down her throat and eased the tightness there. She set the glass down with care and kept her hand round it. "I rerouted a delivery round a road closure last week. I saved a VIP order and got a tip in cash. Yu-Fei put extra soup on my bag and told the driver next time to follow my route. I still do out-of-the-box thinking, Si. It just pays in soup now." He reached for the cloth and wiped a ring of water from the bar top. The cloth smeared the ring wider and he wiped it again in a sharp circle. The bookshelf at the back of the bar caught his eye and he turned toward it. The bookshelf slid on a runner and stuck halfway. A gap showed the hidden back room behind it, a room with a table and chairs and a kettle on a sideboard and stock boxes stacked where files had sat in his working years. "The shelf sticks in winter. I fix it with oil and a hammer. I used that room for meetings with contacts who needed a door with no windows. Now it holds crisps and spare glasses and a mop." "You used that room for my dad too, didn't you? Brendan Carter, barrister, and his friend from the photograph by the Prague tram. You taught me to spot a tail on St Mary Street. You taught me to count exits in a hall. I used exits on Evan." He let the cloth fall beside the till. His hand found the silver signet ring and turned it round his finger. The ring caught the green light from the door and threw it across the bar top in a thin line. "I taught you to run, bach. I should have taught you to stay. I should have walked Evan down those stairs myself. I sent a man instead and the man sent a message and Evan heard a threat and put his hand through your mirror. You paid for that mirror in Cardiff with money from a job at a café and you never told your mother." "I told Eva. Eva told you. You told Brendan. Brendan told Jennifer and Jennifer sent me a textbook with a card that said think like a lawyer, love like a Welsh girl, and I cried in the flat upstairs and missed a shift." "Yu-Fei docked your pay?" "Yu-Fei fed me noodles and put me on a morning shift. He said Cardiff girls had iron in them. He went to work and let me earn the shift back." Silas poured water into his own glass and left it untouched beside the till. He looked at the glass and at the door and at the stairs. The green neon sign buzzed through the glass and painted a line across his beard. The customer with the newspaper had gone and his empty glass stood at the far end of the bar. "You live above a bar, Rory. You work for a man who owes me a favour. You deliver soup to men with money in Soho and you keep a letter from Cardiff University by your sink. Eva put you in my path after Evan and I missed the turn and stayed in Prague while you changed the lock." "Si—" He held up the hand with the ring and the ring tapped his thumb. His other hand rested on the bar top and the fingers spread and curled and spread again against the wood. The bell over the door rang again and cold air cut across the room and lifted the menus on the bar. A man in a suit stood in the doorway with rain on his coat and a phone in his hand. Silas turned his head toward the door. Rory kept her hand round the water glass and watched the rain run down the glass in the door.
created_at"2026-11-11T11:05:33.144Z" 11/11/2026, 11:05:33 AM
model"meta/muse-ember-20261109"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1242
moderation_latency(null)
generation_time23564
tokens_prompt1063
tokens_completion2523
native_tokens_prompt1006
native_tokens_completion9935
native_tokens_completion_images0
native_tokens_reasoning7694
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"default"
usage0.0050681
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer(null)
request_id"req-1794395133-omuXkN3ejpD0K1wKzuUm"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1794395133-z2RPipw97HViCVihaRqq"
upstream_id"resp_6af44bfd23eb56d6828a4a06"
provider_responses
0
endpoint_id"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id"resp_6af44bfd23eb56d6828a4a06"
is_byokfalse
latency348
model_permaslug"meta/muse-ember-20261109"
provider_name"Meta"
status200
total_cost0.0050681
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
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences31
tagDensity0.032
leniency0.065
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1723
totalAiIsmAdverbs0
found(empty)
highlights(empty)
100.00% AI-ism character names
Target: 0 AI-default names (16 tracked, −20% each)
codexExemptions
0"Blackwood"
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
97.10% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1723
totalAiIsms1
found
0
word"weight"
count1
highlights
0"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
narrationSentences71
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences71
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences101
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen66
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1723
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions25
wordCount985
uniqueNames13
maxNameDensity0.51
worstName"Cardiff"
maxWindowNameDensity1.5
worstWindowName"Rory"
discoveredNames
Raven1
Nest1
Old2
Compton1
Street1
Golden1
Empress1
Cardiff5
University2
Prague1
Thames1
Rory4
Silas4
persons
0"Raven"
1"Rory"
2"Silas"
places
0"Old"
1"Compton"
2"Street"
3"Cardiff"
4"Prague"
5"Thames"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences67
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1723
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences101
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs52
mean33.13
std24.48
cv0.739
sampleLengths
067
173
257
326
41
523
61
752
84
98
107
1110
123
132
1417
1511
1681
1716
1811
195
2017
212
2271
2320
2415
2518
2628
2723
2828
2944
3065
3136
325
3353
3461
3552
3649
3731
3850
3989
4038
4148
4241
4366
4443
454
4630
4761
4858
491
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences71
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs130
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences101
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount987
adjectiveStacks0
stackExamples(empty)
adverbCount9
adverbRatio0.00911854103343465
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences101
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences101
mean17.06
std13.43
cv0.787
sampleLengths
021
124
28
36
48
59
69
716
813
99
1017
1110
127
1310
1410
1520
165
1711
1810
191
208
2115
221
2322
246
2513
2611
274
288
297
3010
313
322
3317
3411
3513
3615
3721
3832
398
405
413
4211
435
4417
452
467
4717
4830
4917
45.21% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.3069306930693069
totalSentences101
uniqueOpeners31
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences71
matches(empty)
ratio0
39.72% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount32
totalSentences71
matches
0"She pushed the bar door"
1"His beard matched those grey"
2"He shifted weight from his"
3"She caught the handle and"
4"He set the glass down"
5"His limp pulled his stride"
6"She stared at the beard"
7"She pushed her black hair"
8"She pulled her sleeve down"
9"He looked at the sleeve"
10"He picked up a clean"
11"She sat on the stool"
12"He stood a head taller"
13"She remembered the same gap"
14"he asked through action"
15"He turned to the taps"
16"She wrapped both hands round"
17"She thought of the pre-law"
18"Her thumb pressed a dent"
19"He set the glass of"
ratio0.451
16.34% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount63
totalSentences71
matches
0"Rain drummed on the green"
1"Rory ducked under the awning"
2"She pushed the bar door"
3"The bell above the door"
4"Lemon peel and spilled beer"
5"A customer at the far"
6"Rory crossed the room toward"
7"Silas wiped a glass behind"
8"His beard matched those grey"
9"Hazel eyes lifted from the"
10"He shifted weight from his"
11"Rory stopped before the stairs."
12"The delivery bag slipped from"
13"She caught the handle and"
14"He set the glass down"
15"His limp pulled his stride"
16"She stared at the beard"
17"Rain stung her bright blue"
18"She pushed her black hair"
19"The small crescent scar on"
ratio0.887
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences71
matches(empty)
ratio0
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
totalTags1
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences31
tagDensity0.032
leniency0.065
rawRatio0
effectiveRatio0
86.6123%