Run: 2026-09-03-01M1KRT5KQ3HKZGHRSK5A7HFBW

Run Details

Duration:
1m 5s
Cost:
$0.004502
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 above the door of The Raven's Nest stuttered once and held. Aurora Carter pushed through the door with a bag of takeaway from Golden Empress slung over her shoulder, the strap biting into the skin of her left wrist where a small crescent-shaped scar caught the light. Rain had slicked her black hair to her forehead. She was twenty-five, five foot six, and the delivery shift had left her knuckles raw from the bike grips. The bell jingled. Silas Blackwood stood behind the bar, a glass in his right hand, silver signet ring catching the low light. His grey-streaked auburn hair was damp at the temples, his beard neat. He did not look up at first. The walls around them were covered in old maps and black-and-white photographs, the kind that made the dim room feel smaller than it was. A draft moved the sign above the bookshelf at the back, the one that led to the hidden room. “You’re late,” Silas said. Aurora set the bag down. “Yu-Fei sent extra dumplings. Said you’d want them for closing.” “You live upstairs. You could have walked them up.” “I did walk them up. Then I came down for a pint. You owe me one.” He set the glass down and reached for a pint glass. His left leg gave a hitch as he moved, the old knee injury showing in the way he shifted his weight. He had not changed since she moved in, which was strange, because everything else had. The door opened again. A man came in, coat dripping, collar up. He was older than Silas, maybe sixty-five, with a thin face and a scar that pulled at his left eyebrow. He stopped inside the doorway and stared at the bar. His eyes found Silas first. Silas froze with his hand on the tap. “Thomas,” Silas said. The man’s mouth opened, then closed. He looked at the maps, at the photographs, at the signet ring. “Si.” Aurora watched the two of them from the stool she pulled out. She had seen Silas with people before, people who came through the back room, people who asked for him by first name and left with a nod. This was different. The air in the bar tightened. Thomas stepped closer, his shoes squeaking on the floor. “You opened a bar.” “I opened a place.” “For drinkers.” “For drinkers.” Silas poured. He did not offer a glass to Thomas, just set it down in front of the empty stool beside Aurora. Thomas sat. The stool creaked under him. “You still wear it,” Thomas said, nodding at the signet ring. Silas lifted his right hand. The ring was silver, worn smooth. “It still fits.” “You limped in Prague.” “I limp everywhere now.” Silas slid the pint across the bar. Thomas did not touch it. He kept his hands in his coat pockets. “How long has it been?” Thomas asked. “Fifteen years. Sixteen.” “You look good.” “You look old.” Thomas laughed once, a short sound. “You always said that.” Silas wiped the bar with a cloth. The cloth moved in slow circles. “You were supposed to be dead.” “I was supposed to be a lot of things.” Aurora kept her eyes on the scar on her wrist. She had told Silas once, years ago when she first moved in above the Nest, that she had gotten it from a kitchen knife when she was eight. He had not asked more. He had listened. Thomas looked at her then, a quick glance, and his gaze lingered on the black hair that fell past her shoulders, on the bright blue of her eyes. He looked away. “You have a daughter,” Thomas said to Silas. “I have a bar.” “You have a girl living above you.” Silas’s jaw tightened. “She’s twenty-five. She pays rent.” “Same eyes.” Silas put the cloth down. “Don’t.” Thomas lifted his hands out of his pockets. They shook. “I came because I heard you were here. In Soho. I thought… I thought you might want to know.” “Know what?” “That they closed the file. Prague. They finally closed it.” Silas stared at the photograph on the wall behind Thomas, a black-and-white of a street corner in Prague that Aurora had always thought was just a street corner. “I don’t care about files.” “You care. You never stopped.” “I stopped when I stopped bleeding.” Thomas reached for the pint and drank. He set it down hard. “You didn’t stop. You just put it behind a bookshelf.” Silas glanced toward the back room. The bookshelf stood flush with the wall, a row of worn spines. Aurora knew the trick to it, a slight pressure on the third volume from the left. She had never used it. She had only ever heard the click from inside when someone wanted quiet. “You’re not the same,” Thomas said. “No.” “You’re not angry.” “I’m tired.” Silas poured himself a measure of whiskey. He did not offer Thomas another. “I was in Cardiff last month,” Thomas said. Silas didn’t look up. “Why?” “My sister. She’s ill.” “You never had a sister.” “I adopted the story. It was easier than saying I came to see the place.” Silas’s hand stopped mid-pour. The whiskey caught the light. “You still have the flat,” Thomas said. “The one over the river.” “I sold it.” Thomas nodded. “Good. You were never good at sitting in it.” Aurora felt the heat rise in her neck. She had heard Silas talk about Cardiff once, about a house with a garden and a mother who taught. He had never mentioned a river. She shifted on the stool, the wood cold through her jeans. Thomas leaned forward. “I told them I wouldn’t come back. I kept that.” “You lied to everyone else.” “I lied to myself.” Silas finally looked at him. Hazel eyes, steady. “You should leave.” “I can’t.” “You can.” Thomas’s mouth twitched. “I remember you teaching a boy how to hold a glass without shaking. You said the trick was to let the hand do the work.” Silas’s gaze dropped to his own hands. The silver ring was there. “I remember you saying you’d never come back to England.” “I said a lot of things when I was young.” “You said a lot of things when you were scared.” Thomas stared at the bar top. “I’m scared now.” Silas pushed the pint toward him again. “Drink.” Thomas picked it up. He did not drink. Aurora stood. She picked up the bag of dumplings. “I’ll put these in the back,” she said. Silas didn’t look at her. “Leave them.” “I can take them up.” “Leave them.” She left the bag on the bar and walked to the door. The green neon buzzed. She paused with her hand on the handle and looked back. Thomas was watching her now, not Silas. Silas was watching Thomas. “Who is she?” Thomas asked. Silas wiped a spot that was already clean. “A girl who pays rent.” Thomas shook his head. “You never cared about rent.” “I care about quiet.” The bell jingled as Aurora stepped out into the rain. She didn’t close the door all the way. The sound from inside carried, low and even, two men who had learned how to talk without saying the things they meant. She pressed her palm against the glass door, feeling the scar on her wrist press back. The neon sign flickered again and held.
created_at"2026-09-03T13:54:54.72Z" 9/3/2026, 1:54:54 PM
model"meta/muse-glimmer-30b-20260810"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency278
moderation_latency(null)
generation_time64919
tokens_prompt1063
tokens_completion4623
native_tokens_prompt1008
native_tokens_completion4056
native_tokens_completion_images(null)
native_tokens_reasoning2379
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)
usage0.00450218
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788443694-mXpxo5XcAjBMxUKOQT6G"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788443694-W95cws0aLQ6sEJvPxKSN"
upstream_id"req_f521be91745222584910f9676db63f3e"
provider_responses
0
endpoint_id"6244f10e-1e45-488b-a47f-f575e0edd12b"
id"req_f521be91745222584910f9676db63f3e"
is_byokfalse
latency236
model_permaslug"meta/muse-glimmer-30b-20260810"
provider_name"Phala"
status200
total_cost0.00450218
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
totalTags10
adverbTagCount0
adverbTags(empty)
dialogueSentences67
tagDensity0.149
leniency0.299
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1243
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)
87.93% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1243
totalAiIsms3
found
0
word"weight"
count1
1
word"eyebrow"
count1
2
word"flickered"
count1
highlights
0"weight"
1"eyebrow"
2"flickered"
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
narrationSentences102
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences102
filterMatches
0"feel"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences159
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen37
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1243
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions18
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions72
wordCount884
uniqueNames11
maxNameDensity3.17
worstName"Silas"
maxWindowNameDensity6.5
worstWindowName"Thomas"
discoveredNames
Raven1
Nest2
Carter1
Golden1
Empress1
Blackwood1
Aurora10
Silas28
Thomas25
Prague1
Cardiff1
persons
0"Raven"
1"Nest"
2"Carter"
3"Blackwood"
4"Aurora"
5"Silas"
6"Thomas"
places
0"Golden"
1"Prague"
2"Cardiff"
globalScore0
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences59
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1243
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences159
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs85
mean14.62
std16.79
cv1.148
sampleLengths
079
13
281
34
415
59
616
747
84
943
108
113
1219
1348
1413
154
162
172
1829
1911
2014
214
224
2320
247
253
263
273
2810
2919
309
3146
3231
338
344
357
368
372
386
3929
402
4110
4233
435
446
4522
4652
476
481
493
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences102
matches
0"were covered"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs152
matches
0"was watching"
1"was watching"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences159
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount893
adjectiveStacks1
stackExamples
0"small crescent-shaped scar"
adverbCount23
adverbRatio0.025755879059350503
lyAdverbCount2
lyAdverbRatio0.0022396416573348264
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences159
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences159
mean7.82
std6.34
cv0.811
sampleLengths
015
136
29
319
43
519
612
77
824
919
104
115
1210
139
1416
1511
1621
1715
184
198
2020
2110
225
238
243
256
2612
271
2812
2927
303
316
329
334
344
352
362
372
3820
392
405
4111
425
436
443
454
464
477
485
498
46.23% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.1949685534591195
totalSentences159
uniqueOpeners31
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences89
matches(empty)
ratio0
85.17% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount30
totalSentences89
matches
0"She was twenty-five, five foot"
1"His grey-streaked auburn hair was"
2"He did not look up"
3"He set the glass down"
4"His left leg gave a"
5"He had not changed since"
6"He was older than Silas,"
7"He stopped inside the doorway"
8"His eyes found Silas first."
9"He looked at the maps,"
10"She had seen Silas with"
11"He did not offer a"
12"He kept his hands in"
13"She had told Silas once,"
14"He had not asked more."
15"He had listened."
16"He looked away."
17"He set it down hard."
18"She had never used it."
19"She had only ever heard"
ratio0.337
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount89
totalSentences89
matches
0"The green neon sign above"
1"Aurora Carter pushed through the"
2"Rain had slicked her black"
3"She was twenty-five, five foot"
4"The bell jingled."
5"Silas Blackwood stood behind the"
6"His grey-streaked auburn hair was"
7"He did not look up"
8"The walls around them were"
9"A draft moved the sign"
10"Aurora set the bag down."
11"He set the glass down"
12"His left leg gave a"
13"He had not changed since"
14"The door opened again."
15"A man came in, coat"
16"He was older than Silas,"
17"He stopped inside the doorway"
18"His eyes found Silas first."
19"Silas froze with his hand"
ratio1
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences89
matches(empty)
ratio0
71.43% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences30
technicalSentenceCount3
matches
0"The walls around them were covered in old maps and black-and-white photographs, the kind that made the dim room feel smaller than it was."
1"He was older than Silas, maybe sixty-five, with a thin face and a scar that pulled at his left eyebrow."
2"Thomas looked at her then, a quick glance, and his gaze lingered on the black hair that fell past her shoulders, on the bright blue of her eyes."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags10
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags10
fancyCount0
fancyTags(empty)
dialogueSentences67
tagDensity0.149
leniency0.299
rawRatio0
effectiveRatio0
82.8252%