Run: 2026-09-03-01M1KS01K7BHXTAWW3ZW84E1CP

Run Details

Duration:
45.6s
Cost:
$0.003017
Provider:
Phala

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="4415" name="Lucien Moreau" aliases="Lucien, Luc, the Frenchman" pronouns="he/him" species="Half-Demon" storyRole="Ally"> <eyeColor>heterochromatic — one amber, one black</eyeColor> <hair>slicked-back platinum blond</hair> <height>5'11"</height> <age>32</age> <cane>ivory-handled cane that conceals a thin blade</cane> <dress>tailored charcoal suits</dress> <description>An impeccably dressed fixer and information broker in London's supernatural underworld. He speaks four languages fluently.</description> <backstory>Born in Marseille to a human mother and a demon father from the realm of Avaros.</backstory> </character> <location id="858" name="Eva's Flat" aliases="Eva's place, the flat on Brick Lane" realm="Earth"> <cat>tabby cat named Ptolemy</cat> <security>three deadbolts on the front door</security> <description>A cramped one-bedroom flat above a curry house on Brick Lane, East London. Every surface is covered with books, scrolls, and research notes.</description> </location> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the romance genre. Two people who parted on complicated terms are forced together again when one shows up unannounced at the other's flat. There's history between them — attraction, hurt, and things left unsaid. Write the scene from the moment the door opens. 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 deadbolts clicked in the order she always used, top to bottom, and the door of Eva’s flat gave a low groan as it swung inward. Lucien Moreau filled the frame. Charcoal suit, cane hooked over the back of his right hand, ivory handle catching the weak light from the hall. His platinum blond hair lay flat against his skull. One eye caught the bulb, amber. The other stayed black. Ptolemy dropped from the bookshelf and landed on Aurora’s ankles, tail flicking hard against her calf. “You lock the door three times,” Lucien said. “Then you leave it unlocked for me.” Aurora kept her hand on the brass knob. The small crescent scar on her left wrist showed pale against her sleeve. “I didn’t leave it unlocked.” “You left the third bolt loose.” She let the door close an inch, enough to keep the hallway from the flat. Books leaned in towers on the floor. Scrolls weighted down with mugs. Research notes spilled across the kitchen table. The curry house downstairs had started its evening service and the smell rose through the floorboards, cumin and fried onions. “You’re trespassing,” she said. “I’m retrieving something that belongs to me.” Ptolemy wound around his trouser leg and he did not move to shoo the cat. He leaned the cane against the wall by the door. The tip tapped once, soft, against the floorboards. “You came up three flights because you want a book,” Aurora said. “I came up three flights because you stopped answering my messages.” “I stopped answering because you told me to disappear.” He stepped inside without waiting for an invitation. The flat was cramped and his shoulders brushed a stack of journals. He righted them with one careful hand. “You disappeared first,” he said. “I left London for a reason.” “You left London because Evan put his hands on you again and you thought I was the same kind of man.” Aurora shut the door and slid the first deadbolt home. Her fingers moved on habit. “I thought a lot of things.” “You thought I would use you.” “I knew you would use me.” Lucien looked at the books covering every surface. “Eva still lives like a student.” “Eva lives like a researcher. You live like a spy.” A corner of his mouth twitched. “Accurate.” The silence settled and pressed against the walls. The flat smelled of old paper and the faint citrus of cleaning spray she used on the counters. He had always smelled of cologne and rain. “You can’t stay,” she said. “I won’t.” He moved to the window. Brick Lane was a thin river of neon and traffic below. He rested his fingertips on the sill, careful not to disturb the notes taped there. “You’re still working the Golden Empress nights,” he said. “Part-time pays rent.” “And the flat above Silas’?” “Sold. I’m staying with Eva while I figure out the next thing.” “You could have told me.” “You could have told me you were coming.” He turned. Heterochromatic eyes found hers. “I told you I would find you if you ran.” Aurora crossed to the table and picked up a chipped mug. She turned it in her hands, not drinking. “You found me,” she said. “I always do.” The cat jumped onto the table and settled on a pile of photocopies. Lucien watched it. “You remember the name I gave you,” he said. “Laila.” “I remember the name you gave yourself. Luc.” “You used it when you were angry.” “I used it when I was trying not to say your real name.” He lifted his cane from the floor. The ivory handle rested against his palm. The blade stayed sheathed. “You left a notebook here,” he said. “The one with the sigils. You left it when you ran to Silas’.” “I left a lot of things.” He opened the notebook. The pages were dense with her handwriting, diagrams in the margins, a list of names crossed out. His thumb brushed a smudge of ink near the bottom of a page. “You were tracking the Avaros debt,” he said. “I was tracking who sold me out.” “You know it wasn’t me.” Aurora set the mug down hard enough to make the cat’s ears flatten. “I know it was everyone.” “Not everyone.” “Enough.” Lucien closed the notebook and held it out. She did not take it. “It belongs to you,” he said. “It belongs to Eva.” “It belongs to you. You wrote it.” Her jaw tightened. “You’re not here for a notebook.” “I’m here because I heard you were asking questions about the Marseille exchange. You shouldn’t be asking questions about the Marseille exchange.” “I’m asking questions about why my mother’s name keeps appearing in old ledgers.” He studied her face. “Your mother never left Cardiff.” “She didn’t. Someone else did.” Lucien tapped the cane against his thigh, once, twice. The sound was small and deliberate. “Don’t,” he said. “Don’t what?” “Don’t dig where you will find something that makes you hate me more.” Aurora laughed, a short, sharp sound. “I already hate you enough.” “You don’t hate me.” “I don’t trust you.” “That’s different.” She moved to the door, hand on the second deadbolt. The hallway light cut a line across her cheek. “You’re not welcome in my space,” she said. “This isn’t your space.” “It’s Eva’s. And you’re making her nervous.” “Eva likes me.” “Eva tolerates you.” He stepped closer. The books pressed in around them. He could smell the faint sweat of her work shift under her sweater. “You were cool-headed then,” he said. “You are cool-headed now. You looked at me like a problem to solve.” “I looked at you like a problem I couldn’t solve.” “You solved a lot of problems for me.” “And you solved none for me.” The cat chose that moment to knead the papers and knock a stack to the floor. Pages scattered. Lucien bent to gather them. Aurora knelt too. Their hands brushed over the same sheet. The sheet held a sketch of a crescent scar. “You kept this,” she said. “You have it on your wrist.” “I had an accident when I was seven. It wasn’t a sigil.” “It looks like a sigil.” “It looks like a scar.” He placed the page back on the pile with a care that surprised her. He stood. She stayed kneeling for a beat longer, then stood. “You need to leave,” she said. “I will. After you tell me why you really came back to Brick Lane.” “I told you. Eva.” “You came back because you missed the flat above Silas’. You came back because you missed the noise.” “I came back because I have nowhere else to go.” A long pause lived between them. The curry house clatter rose and fell. “You could come with me,” he said. She stared at him. “To Marseille,” he said. “We could end this properly.” “There is nothing proper about this.” “There never was.” She reached for the third deadbolt. Her fingers hovered. Ptolemy yawned and stretched across the notebook Lucien still held. Lucien didn’t move. Aurora didn’t move. “You left the third bolt loose,” she said. “I left it loose because I knew you would check.”
created_at"2026-09-03T13:58:07.214Z" 9/3/2026, 1:58:07 PM
model"meta/muse-glimmer-30b-20260810"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency287
moderation_latency(null)
generation_time45509
tokens_prompt1004
tokens_completion3140
native_tokens_prompt953
native_tokens_completion2708
native_tokens_completion_images(null)
native_tokens_reasoning1072
native_tokens_cached952
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"stop"
service_tier(null)
usage0.00301718
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788443887-bsVzs0bhaR6BM3UjUgLA"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788443887-i8DJEgUOuokxR9SeSobv"
upstream_id"req_308cf2b17b5b784e126433006bead837"
provider_responses
0
endpoint_id"6244f10e-1e45-488b-a47f-f575e0edd12b"
id"req_308cf2b17b5b784e126433006bead837"
is_byokfalse
latency247
model_permaslug"meta/muse-glimmer-30b-20260810"
provider_name"Phala"
status200
total_cost0.00301718
cache_discount0.00024752
upstream_inference_cost0
provider_name"Phala"
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
totalTags19
adverbTagCount0
adverbTags(empty)
dialogueSentences85
tagDensity0.224
leniency0.447
rawRatio0
effectiveRatio0
95.85% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1204
totalAiIsmAdverbs1
found
0
adverb"really"
count1
highlights
0"really"
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)
95.85% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1204
totalAiIsms1
found
0
word"silence"
count1
highlights
0"silence"
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
narrationSentences91
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences91
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences157
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen26
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1204
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions29
unquotedAttributions0
matches(empty)
80.77% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions24
wordCount650
uniqueNames6
maxNameDensity1.38
worstName"Aurora"
maxWindowNameDensity2
worstWindowName"Aurora"
discoveredNames
Eva1
Moreau1
Aurora9
Ptolemy3
Lane1
Lucien9
persons
0"Eva"
1"Moreau"
2"Aurora"
3"Ptolemy"
4"Lucien"
places
0"Lane"
globalScore0.808
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences50
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1204
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences157
matches
0"chose that moment"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs103
mean11.69
std9.46
cv0.809
sampleLengths
026
144
216
315
426
56
654
74
87
933
1012
1111
129
1327
145
156
1621
1721
186
196
2014
2110
227
2334
245
252
2631
279
283
295
3012
315
328
3316
3419
355
363
3716
3810
398
407
4113
4218
4320
446
4534
468
477
485
4918
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences91
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs121
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences157
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount650
adjectiveStacks0
stackExamples(empty)
adverbCount13
adverbRatio0.02
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences157
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences157
mean7.67
std4.51
cv0.588
sampleLengths
026
15
220
39
46
54
616
78
87
98
1013
115
126
1315
147
155
167
1720
184
197
2015
2110
228
2312
2411
259
268
2712
287
295
306
3121
3210
335
346
356
366
378
386
3910
406
411
428
4318
448
455
462
475
4811
4915
39.17% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats17
diversityRatio0.2356687898089172
totalSentences157
uniqueOpeners37
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences69
matches(empty)
ratio0
75.07% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount25
totalSentences69
matches
0"His platinum blond hair lay"
1"She let the door close"
2"He leaned the cane against"
3"He stepped inside without waiting"
4"He righted them with one"
5"Her fingers moved on habit."
6"He had always smelled of"
7"He moved to the window."
8"He rested his fingertips on"
9"She turned it in her"
10"He lifted his cane from"
11"He opened the notebook."
12"His thumb brushed a smudge"
13"She did not take it."
14"Her jaw tightened."
15"He studied her face."
16"She moved to the door,"
17"He stepped closer."
18"He could smell the faint"
19"Their hands brushed over the"
ratio0.362
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount66
totalSentences69
matches
0"The deadbolts clicked in the"
1"Lucien Moreau filled the frame."
2"Charcoal suit, cane hooked over"
3"His platinum blond hair lay"
4"The other stayed black."
5"Ptolemy dropped from the bookshelf"
6"Aurora kept her hand on"
7"The small crescent scar on"
8"She let the door close"
9"Books leaned in towers on"
10"Scrolls weighted down with mugs."
11"The curry house downstairs had"
12"Ptolemy wound around his trouser"
13"He leaned the cane against"
14"The tip tapped once, soft,"
15"He stepped inside without waiting"
16"The flat was cramped and"
17"He righted them with one"
18"Aurora shut the door and"
19"Her fingers moved on habit."
ratio0.957
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences69
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences23
technicalSentenceCount1
matches
0"He placed the page back on the pile with a care that surprised her."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags19
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags19
fancyCount0
fancyTags(empty)
dialogueSentences85
tagDensity0.224
leniency0.447
rawRatio0
effectiveRatio0
86.2236%