Run: 2026-09-03-01M1KRVRW6K2KSVR3J4X6GWT0W

Run Details

Duration:
1m 6s
Cost:
$0.004663
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="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
The green neon sign stuttered over the door of The Raven's Nest and threw a wet sheen across Soho pavement. Rain had turned the street into a mirror. Aurora Carter ducked under the sign and shook water from her coat. The bell over the door gave a thin chime. Inside the bar smelled of old wood and spilled beer. Maps covered the walls in overlapping creases, and black-and-white photographs hung between them, faces caught mid-laugh in a London that no longer existed. Silas Blackwood stood behind the bar, wiping a glass with a cloth that had seen better decades. His grey-streaked auburn hair caught the low light, and the silver signet ring on his right hand caught it too. He lifted his head when she came in. “You’re late for your rent,” he said. Aurora smiled without warmth. “Delivery ran long. Golden Empress had a kitchen fire on the grill line.” She had her usual corner stool. The one that faced the bookshelf that wasn’t quite flush with the wall. She set her bag down, lifted her sleeve to check the crescent-shaped scar on her left wrist, a habit she never noticed she did until the scar caught light. A chair scraped at the table near the window. Aurora looked up. Eva sat there with a glass she hadn’t touched. Her hair had gone shorter, cropped close on the sides, the top dyed a copper that clashed with the bar’s amber. She wore a tailored coat that cost more than Aurora’s rent for a month. The years had thinned her face and added lines around her mouth that hadn’t been there when they were sixteen in Cardiff. Aurora froze with her hand halfway to the stool. Eva’s eyes found hers. Bright, still. The same. “You,” Aurora said. Eva stood. “Rory.” They hadn’t spoken since the night Aurora left her flat in Cardiff with a single duffel and a phone number scribbled on a receipt. Eva had called her three times in the first month in London. Aurora had not answered. Then the calls stopped. “You’re here,” Eva said. Aurora slid onto the stool. “You’re here.” Silas set a glass of water down in front of Aurora without asking. His left leg gave a small hitch as he moved, the old knee injury from Prague settling in. He watched them with hazel eyes and returned to polishing. Eva ordered a whisky. Silas poured it neat. Aurora’s fingers found the edge of the bar. “I didn’t know you drink here.” “I don’t.” Eva lifted the glass and didn’t drink. “I’m meeting someone. He cancelled.” The silence between them filled with the low hum of the bar. A regular laughed at the far end. The neon outside bled through the curtains. “You cut your hair,” Aurora said. “It was getting in the way.” “You got a job in the city,” Aurora said. “Partner track. Two years ago.” Eva set the glass down hard enough to make the ice shift. “You work for Yu-Fei.” “Part-time.” “You’re living above Silas.” Aurora looked at Silas. He gave her a small nod, the kind that meant he had heard the whole story before she told it. He had watched her move in with two suitcases and a bruise on her jaw she tried to pass off as a fall. He had given her a key and never asked for the full backstory. “I’m paying rent,” Aurora said. Eva stared at the scar on Aurora’s wrist when Aurora reached for her water. Her mouth twitched. “You still have that.” Aurora pulled her sleeve down. “Childhood accident.” Eva didn’t smile. “You still cover it.” Aurora’s jaw tightened. “Old habit.” They sat with the space between their stools like a third person. Aurora remembered Eva in their kitchen in Cardiff, hair in a messy ponytail, shouting about law school and how Aurora would be a barrister like Brendan. They had practiced arguments at the kitchen table. Eva had been the one to say leave when Evan’s hands started leaving marks. “You should have called,” Eva said. “I did.” “You didn’t pick up.” “I picked up once. You told me I was running.” “I was right.” Aurora’s laugh came out flat. “You’re not wrong.” Eva’s fingers drummed the bar. “You look tired.” “You look expensive.” Eva flinched. It was small, but Aurora saw it in the way her shoulders lifted. “I missed your birthday,” Eva said. “I missed yours too.” “You’re still angry.” Aurora looked at the photographs on the wall, men in trench coats standing in front of buildings that had been bombed flat. “I’m not angry at you.” “Then at who?” “At the version of me that stayed.” Eva’s throat worked. She lifted the whisky finally and drank. Silas set a fresh glass of water down for Aurora. The signet ring glinted. He said nothing, only turned to the taps. “You’re a delivery girl,” Eva said, quieter. “You were going to be a barrister.” “I was going to be a lot of things.” “You told me Pre-Law was a waste of time.” “You told me I was wasting my life with him.” Eva’s eyes filled and she blinked it back fast. “I told you to come to London. I didn’t think you’d stay in a flat above a bar.” “I needed a roof.” “You needed me.” Aurora’s voice dropped. “You were busy.” “I was in court. You knew.” “I know.” The bar door opened. Cold air rushed in. A man in a raincoat shook himself and ordered. Silas moved, his limp more pronounced on the wet floor. The bell chimed again when the man left. Eva stared at the maps. “Do you remember the one we stole from the library? The one of the Welsh coast?” Aurora remembered. Ink on paper, traced with a finger. “You said we’d sail it one day.” “We never did.” “We’re not kids anymore.” “No.” Eva turned back to her. “Are you happy?” Aurora thought of the delivery bike in the alley, the rent slip on the fridge, the flat that smelled of Silas’s cigarettes through the floorboards. She thought of mornings when she woke up without checking the door. She thought of the scar on her wrist and how she no longer hid it from herself. “I’m not dead,” Aurora said. Eva smiled then, a real one that cracked the lines. “That’s a low bar.” “Low bars are the only ones I can clear right now.” Eva reached across the bar and touched Aurora’s hand, just for a second, over the scar. Her palm was cold. “You should call your mother,” Eva said. “Jennifer?” “She asks about you. Every Sunday.” Aurora’s throat closed. “I don’t know what to say to her.” “Say you’re alive.” Silas slid a small plate of nuts between them. He didn’t look up from the glass he was polishing. Eva stood. Her coat fell around her shoulders. “I have to go. Client.” Aurora stood too. They were the same height, almost. Eva’s copper hair caught the neon. “If you’re ever not working,” Eva said, “come find me. I’m not always in court.” Aurora nodded. “If you’re ever not busy.” Eva walked to the door. The green sign flashed over her as she stepped out into the rain. Aurora watched her go, watched the door swing shut, watched Silas return to his cloth and his quiet bar and the photographs of men who had also waited too long to say something. She sat back down. Her water was cold.
created_at"2026-09-03T13:55:47.225Z" 9/3/2026, 1:55:47 PM
model"meta/muse-glimmer-30b-20260810"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency273
moderation_latency(null)
generation_time66033
tokens_prompt1063
tokens_completion4752
native_tokens_prompt1008
native_tokens_completion4202
native_tokens_completion_images(null)
native_tokens_reasoning2507
native_tokens_cached1007
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)
usage0.00466278
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788443747-pAcfmbgccR9AuvzuJlGl"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788443747-RriwHK2WSAlnU6dJtxD8"
upstream_id"req_3dd2f9683d285422446e2b7551058119"
provider_responses
0
endpoint_id"6244f10e-1e45-488b-a47f-f575e0edd12b"
id"req_3dd2f9683d285422446e2b7551058119"
is_byokfalse
latency234
model_permaslug"meta/muse-glimmer-30b-20260810"
provider_name"Phala"
status200
total_cost0.00466278
cache_discount0.00026182
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
totalTags15
adverbTagCount1
adverbTags
0"Eva turned back [back]"
dialogueSentences63
tagDensity0.238
leniency0.476
rawRatio0.067
effectiveRatio0.032
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1249
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)
87.99% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1249
totalAiIsms3
found
0
word"warmth"
count1
1
word"silence"
count1
2
word"traced"
count1
highlights
0"warmth"
1"silence"
2"traced"
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
narrationSentences106
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences106
filterMatches(empty)
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences154
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen33
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1249
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions24
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions84
wordCount935
uniqueNames13
maxNameDensity3.64
worstName"Aurora"
maxWindowNameDensity6.5
worstWindowName"Aurora"
discoveredNames
Raven1
Nest1
Soho1
Carter1
London2
Blackwood1
Aurora34
Cardiff3
Eva28
Prague1
Silas9
Brendan1
Evan1
persons
0"Raven"
1"Carter"
2"Blackwood"
3"Aurora"
4"Eva"
5"Silas"
6"Brendan"
7"Evan"
places
0"Soho"
1"London"
2"Cardiff"
3"Prague"
globalScore0
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences59
glossingSentenceCount1
matches
0"quite flush with the wall"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1249
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences154
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs83
mean15.05
std16.62
cv1.104
sampleLengths
049
178
27
317
448
512
666
79
88
93
103
1144
124
137
1441
158
1614
1714
1826
196
206
219
2221
231
244
2560
265
2717
284
297
307
315
3260
336
342
354
3610
373
388
398
403
4115
426
434
443
4527
463
477
4810
4922
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences106
matches
0"been bombed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs179
matches
0"was polishing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences154
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount940
adjectiveStacks0
stackExamples(empty)
adverbCount23
adverbRatio0.02446808510638298
lyAdverbCount2
lyAdverbRatio0.002127659574468085
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences154
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences154
mean8.11
std6.24
cv0.77
sampleLengths
020
18
212
39
410
523
617
720
88
97
104
1113
126
1313
1429
159
163
179
1821
1914
2022
219
224
232
242
253
262
271
2824
2912
304
314
324
335
342
3513
3618
3710
384
394
408
416
429
435
4412
457
467
476
486
499
41.56% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats13
diversityRatio0.23376623376623376
totalSentences154
uniqueOpeners36
37.88% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences88
matches
0"Then the calls stopped."
ratio0.011
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount26
totalSentences88
matches
0"His grey-streaked auburn hair caught"
1"He lifted his head when"
2"She had her usual corner"
3"She set her bag down,"
4"Her hair had gone shorter,"
5"She wore a tailored coat"
6"They hadn’t spoken since the"
7"His left leg gave a"
8"He watched them with hazel"
9"He gave her a small"
10"He had watched her move"
11"He had given her a"
12"Her mouth twitched."
13"They sat with the space"
14"They had practiced arguments at"
15"It was small, but Aurora"
16"She lifted the whisky finally"
17"He said nothing, only turned"
18"She thought of mornings when"
19"She thought of the scar"
ratio0.295
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount84
totalSentences88
matches
0"The green neon sign stuttered"
1"Rain had turned the street"
2"Aurora Carter ducked under the"
3"The bell over the door"
4"Maps covered the walls in"
5"Silas Blackwood stood behind the"
6"His grey-streaked auburn hair caught"
7"He lifted his head when"
8"Aurora smiled without warmth."
9"She had her usual corner"
10"The one that faced the"
11"She set her bag down,"
12"A chair scraped at the"
13"Aurora looked up."
14"Eva sat there with a"
15"Her hair had gone shorter,"
16"She wore a tailored coat"
17"The years had thinned her"
18"Aurora froze with her hand"
19"Eva’s eyes found hers."
ratio0.955
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences88
matches(empty)
ratio0
83.33% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences36
technicalSentenceCount3
matches
0"Silas Blackwood stood behind the bar, wiping a glass with a cloth that had seen better decades."
1"Aurora looked at the photographs on the wall, men in trench coats standing in front of buildings that had been bombed flat."
2"Aurora watched her go, watched the door swing shut, watched Silas return to his cloth and his quiet bar and the photographs of men who had also waited too long …"
91.67% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags15
uselessAdditionCount1
matches
0"Eva said, quieter"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags12
fancyCount0
fancyTags(empty)
dialogueSentences63
tagDensity0.19
leniency0.381
rawRatio0
effectiveRatio0
84.7476%