Run: 2026-09-03-01M1KRCNMSAQEZ4C3QENGXJYM0

Run Details

Duration:
51.9s
Cost:
$0.003251
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 cane tapped three times on the landing, then stopped. Aurora had the first deadbolt half-turned when the sound came through the door. She froze with her hand on the cold metal. The curry house downstairs was frying onions for lunch and the smell threaded up through the floorboards. Ptolemy yawned from the armchair and stretched a paw over a pile of loose scrolls. She finished the bolt and the second. The third clicked. She pulled the door open. Lucien stood in the hallway with his hat in his hand. Rain clung to the slicked-back platinum of his hair and beaded on the shoulders of his charcoal suit. The ivory handle of his cane caught the weak light from the stairwell. "You're not supposed to be here," Aurora said. "Neither are you," he said. He stepped past the threshold without waiting for an invitation. The flat smelled of old paper and cardamom. Books leaned against every wall. A half-finished cup of tea had gone cold on a stack of research notes. Ptolemy opened one eye. "You live above Silas' bar," Lucien said. "I am at Eva's," Aurora said. "You know that." "I know a lot of things," he said. He set his hat on the only clear inch of the coffee table. The cat watched him. "The deadbolts are new." "So is the cat," she said. "So is the lease." He looked at her. His amber eye caught the light. The black one didn't. "You left a message," she said. "In French. You never leave messages in French." "I left a message in English too," he said. "You deleted it." She closed the door. The three deadbolts slid home with a sound like teeth. "You were going to use my name in a report," she said. "I was going to ask you to dinner," he said. "Same difference," she said. He took his cane off and propped it against the wall. The ivory handle glinted. She watched his fingers brush the brass ferrule. He always touched it when he was nervous. "You didn't answer," he said. "You didn't ask right," she said. He moved into the room. There was no room to move. He had to duck under a hanging string of dried herbs. A scroll slipped from the edge of the desk and landed on his shoe. "Careful," she said. "I am careful," he said. He picked the scroll up and set it back exactly where it had been. "You are not." The scar on her left wrist showed when she pulled her sleeve down. A small crescent. Childhood. "That still bothers you," he said. "That still bothers you that it bothers me," she said. He smiled without warmth. "I remember everything." "I remember you leaving," she said. "I remember you not calling," he said. Silence settled between them, thick as dust. The radiator clanked. Somewhere downstairs a trolley rattled. "You came here because of the file," she said. "I came here because you are here," he said. "Don't," she said. He didn't stop. "Eva told me you were staying. I didn't know until last night." "Eva talks too much." "Eva talks to me because I pay her for information," he said. "You should be grateful." "I should be annoyed," she said. He sat on the edge of the armchair, careful not to crush the stack of books beneath him. Ptolemy rose and claimed his lap. "You smell like the restaurant," he said. "Yu-Fei makes me work the late shift," she said. "I deliver." "Deliver what?" "Food. And gossip. And the occasional dead body." He laughed. It was a short sound. "You're joking," he said. "I wish I were," she said. He leaned forward. The amber eye narrowed. "Tell me," he said. She didn't. She picked up her cold tea and drank it anyway. "You want the name," she said. "I want you to stop doing this alone," he said. "I'm not alone. Eva is downstairs. Silas is downstairs. Ptolemy is in your lap." "Ptolemy is a cat," he said. "Exactly." He set his hands on his knees. The cuffs of his suit were perfect. "You used to call me Luc," he said. "You used to call me Rory," she said. "Still do." "Don't." He stood. The flat was too small for him to stand fully without his head nearly touching the low ceiling. He brushed a book off his shoulder and handed it to her. "I brought something for you," he said. She took it. A thin notebook bound in black leather. "What's this?" "A list," he said. "Names. Addresses. People who asked about you after the Evan business." Her fingers tightened on the cover. "You can't just hand me a hit list," she said. "It's not a hit list," he said. "It's a warning list." "Why are you giving it to me now?" "Because you won't take it from anyone else," he said. She opened the notebook. The first page was in his neat hand. One name underlined twice. "That one is new," he said. "Who is he?" "A buyer," he said. "He wants the thing you found in Cardiff." She closed the notebook. "I didn't find anything," she said. "Liar," he said. The word hung. She set the notebook down on the desk, hard enough to make the tea cup rattle. "You left Cardiff," he said. "You left me a note on my car. In Welsh." "I left a note in English," she said. "You speak four languages. You read it." "I read it after you were gone." "I had to be gone," she said. "You had to be safe," he said. "Same thing," she said. He took a step closer. She didn't move back. The books pressed in on both sides. "You could have told me where you were going," he said. "You could have stayed," she said. "I stayed as long as I could," he said. "And then?" "And then I was a fixer and you were a target," he said. "I don't fix targets." "Now I am one." "Now you are," he said. Ptolemy jumped down and disappeared under the bed. The hallway outside was quiet. No footsteps. "You shouldn't be here," Aurora said again, softer. "You shouldn't be here either," Lucien said. "Your flat is above a bar. This flat is above a curry house. Both are bad places to hide." "I like curry," she said. "I like you in a bad place," he said. She looked at him. Bright blue against amber and black. "Get out," she said. He didn't. He picked up his cane. "I'm not going to touch you," he said. "Good," she said. "I'm not going to ask you to come back to my place," he said. "It's too loud." "Good," she said. He moved toward the door. The three deadbolts waited. "Don't delete the message this time," he said. "I don't get messages anymore," she said. "You do," he said. He opened the door a fraction. "You always do." The stairwell air smelled of rain and cumin. He stepped out. She watched him go down, cane tapping once, twice, three times on the landing. She locked the deadbolts. The notebook stayed on the desk.
created_at"2026-09-03T13:47:32.383Z" 9/3/2026, 1:47:32 PM
model"meta/muse-glimmer-30b-20260810"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency626
moderation_latency(null)
generation_time51806
tokens_prompt1004
tokens_completion3190
native_tokens_prompt953
native_tokens_completion2921
native_tokens_completion_images(null)
native_tokens_reasoning1310
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)
usage0.00325148
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788443252-r2JWUJ33An8OMqA3SNwu"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788443252-vaXSqqxPhuatfAvAIduo"
upstream_id"req_d9976a2b2ad2059eda1b2b68acc67186"
provider_responses
0
endpoint_id"6244f10e-1e45-488b-a47f-f575e0edd12b"
id"req_d9976a2b2ad2059eda1b2b68acc67186"
is_byokfalse
latency586
model_permaslug"meta/muse-glimmer-30b-20260810"
provider_name"Phala"
status200
total_cost0.00325148
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
totalTags65
adverbTagCount1
adverbTags
0"Aurora said again [again]"
dialogueSentences97
tagDensity0.67
leniency1
rawRatio0.015
effectiveRatio0.015
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1197
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)
83.29% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1197
totalAiIsms4
found
0
word"warmth"
count1
1
word"silence"
count1
2
word"perfect"
count1
3
word"footsteps"
count1
highlights
0"warmth"
1"silence"
2"perfect"
3"footsteps"
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
emotionTells1
narrationSentences145
matches
0"was nervous"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences145
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences177
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen19
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1197
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions68
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions12
wordCount708
uniqueNames4
maxNameDensity0.56
worstName"Aurora"
maxWindowNameDensity1.5
worstWindowName"Aurora"
discoveredNames
Aurora4
Silence1
Ptolemy4
Lucien3
persons
0"Aurora"
1"Silence"
2"Ptolemy"
3"Lucien"
places(empty)
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences42
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1197
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences177
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs114
mean10.5
std8.66
cv0.825
sampleLengths
010
154
210
35
442
58
65
741
87
99
1029
1110
1214
1314
1412
1514
1612
1710
184
1931
205
216
2236
233
2422
2517
266
2710
287
296
307
3115
329
339
343
3515
364
3716
386
3924
407
4111
422
438
447
454
466
477
484
4912
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences145
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs169
matches
0"was frying"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences177
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount711
adjectiveStacks0
stackExamples(empty)
adverbCount17
adverbRatio0.02390998593530239
lyAdverbCount4
lyAdverbRatio0.005625879043600563
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences177
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences177
mean6.76
std3.8
cv0.562
sampleLengths
010
113
29
317
415
57
63
75
811
918
1013
118
125
1310
148
155
1614
174
187
196
203
218
2213
234
244
256
264
274
286
294
306
318
329
333
344
3510
3612
3710
384
3911
404
418
428
435
446
455
466
4711
4814
493
38.14% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats21
diversityRatio0.2598870056497175
totalSentences177
uniqueOpeners46
88.89% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences75
matches
0"Somewhere downstairs a trolley rattled."
1"Bright blue against amber and"
ratio0.027
28.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount36
totalSentences75
matches
0"She froze with her hand"
1"She finished the bolt and"
2"She pulled the door open."
3"He stepped past the threshold"
4"He set his hat on"
5"He looked at her."
6"His amber eye caught the"
7"She closed the door."
8"He took his cane off"
9"She watched his fingers brush"
10"He always touched it when"
11"He moved into the room."
12"He had to duck under"
13"He picked the scroll up"
14"He smiled without warmth."
15"He didn't stop."
16"He sat on the edge"
17"It was a short sound."
18"He leaned forward."
19"She picked up her cold"
ratio0.48
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount70
totalSentences75
matches
0"The cane tapped three times"
1"Aurora had the first deadbolt"
2"She froze with her hand"
3"The curry house downstairs was"
4"Ptolemy yawned from the armchair"
5"She finished the bolt and"
6"The third clicked."
7"She pulled the door open."
8"Lucien stood in the hallway"
9"Rain clung to the slicked-back"
10"The ivory handle of his"
11"He stepped past the threshold"
12"The flat smelled of old"
13"Books leaned against every wall."
14"A half-finished cup of tea"
15"Ptolemy opened one eye."
16"He set his hat on"
17"The cat watched him."
18"He looked at her."
19"His amber eye caught the"
ratio0.933
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences75
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences22
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags65
uselessAdditionCount1
matches
0"Aurora said again, softer"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags65
fancyCount0
fancyTags(empty)
dialogueSentences97
tagDensity0.67
leniency1
rawRatio0
effectiveRatio0
87.9439%