Run: 2026-09-03-01M1KYJPDE80C04MFQKYEP10T0

Run Details

Duration:
4m
Cost:
$0.031512
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 sign above the door buzzed in the wet Soho air, and Rory pushed open the door to The Raven's Nest with her hip. Rain had soaked the paper bag from Golden Empress, and a line of brown water crawled along the bottom. The bar smelled of old paper, black tea, and the copper bite of rain. Maps hung on the walls, their corners yellowed. Black-and-white photographs showed streets she did not know, faces with hard mouths. She set the bag on the near table, the one marked three. A half-eaten plate of duck sat there. A glass held a dark ring of water. The regular had not come in. She turned when the cloth behind the bar stopped moving. Silas Blackwood stood there, wiping a tumbler. Grey streaked through his auburn hair. His beard followed the same line, trimmed close. His left foot sat flat on the floor, his weight resting on the right. Rory? he asked. She felt the name land under her collarbone. Aurora, she corrected. He looked at her for a long moment, his eyes moving from the collar of her restaurant jacket to the scar on her left wrist, the thin crescent hidden by her sleeve. He set the tumbler down. You are in London. Delivering duck. Who told you the address? She lifted the damp bag. Yu-Fei’s list. There’s a table that orders twice a month and never collects when it rains. He did not laugh. His hand rested on the bar, fingers spread. The silver ring on his right hand caught the green glow. Come here. No. He leaned toward the counter. You are not wearing a name tag. It’s in the pocket. You used to wear your name on your forehead. I used to wear a lot of things I don’t. She stayed by the duck. The plates on the table held a thin sheen. The bar had no customers. A small radio played something low, a string line breaking under static. Silas pulled a stool from the row and set it near her, not close, not far, a place where she could choose. Sit. I have a route. You have fifteen minutes. How do you know that? Because I own the flat above. Her fingers closed on the paper bag. The duck shifted inside. Eva called me in April, he said. She said you needed a roof and you would not take one with a story. I sent the keys to a shop in Farringdon. I did not put my name on the lease. You could have told me. I could have done a great many things. You missed the chance when I left Cardiff. He took his hand from the bar and rolled it over, palm up. The scar tissue along his wrist pulled when he did. You left at four in the morning with a bag you packed in one hour. I was in my flat. I saw the light go out on your side of the street. Then call. If I called, you would have come back. Maybe. You would have gone back to the house. You would have sat in the kitchen and told me it was fine. You always told me it was fine when your hands shook. She looked at the photographs. A woman in a wide-brimmed hat stood at a window. A man held a pipe. A group of children posed in front of a chapel. She remembered the chapel. You were the friend who stayed for tea, she said. You asked my father to open the wine. You let my mother pour you three fingers. Your mother used to put sugar in it. She knew I did not know. You knew. You were only eleven. I was good at not knowing. Silas pulled a bottle from the shelf behind the bar, no label facing him. He set it in front of her. Then he poured a measure into the tumbler he had cleaned. He pushed it across the wood. It’s not what you think. It is what I think. You have a ring and a limp and a bar with no name on the menu. You ask me to sit in a room covered in maps and dead faces. You tell me I have a flat above and I am holding duck for a man who never comes. I do not know if the man comes. Then the duck is going bad. Throw it in the bin. I can’t throw out food. It costs money. He laughed once, short and rough. The Golden Empress never paid for waste. They pay for the route. They pay me to not argue. You argue with your jaw. She looked at the glass. The liquid moved in small circles. What did you do after Cardiff? she asked. I did things that do not go in a CV. You worked for the crown. I worked for a room that used the crown. MI6? I was in Prague. Prague killed you? My knee. She studied his left leg. His foot had not shifted. When? Before you left. After I left. Did you come home? Once. To the funeral. Her throat tightened around a word. Who? Your father did not go to a funeral. The car. On the A48. He had a heart attack in the car. The wheel turned. The tree did the rest. She stared at the glass. The ring of water widened on the bar top. You were there. I was in a phone booth. I heard the radio before the police. That was two years after you left. Time does not work the way a man wishes. Then don’t wish. He picked up the bottle and poured himself a measure. His right hand held the glass at the base. The left rested near his knee, still, as if keeping it company. You are not the girl who wanted to be a barrister. I am the woman who reads contracts for Yu-Fei. I tell him when the rent is too high. I tell him when the gas smells of something other than gas. I tell him when a man at the market will not take the correct change. He does not tell you that. He hears it from the woman who runs the accounts. She has three children and a good voice. Good. Better than some I have had. He tilted his head. The neon outside made the maps turn green at the edges. Your ex is still in Cardiff. Leave his name out of it. He had a man look at a shop in Pembroke Road. He thinks it is safe. He has not thought about you. Then why is he looking? Because he likes knowing where his old things are. She set the glass down without drinking. You are saying he could find me. I am saying this street has more exits than you would believe. Show me. No. Then why tell me? He pulled a key from his pocket. It was small, brass, worn smooth. He set it on the bar between them. For the flat. The front door sticks. Use the key if the lock seizes. The flat has no lock on the inside. It has one now. I had it fitted. Who did you hire? A man I know. You know everyone. I know people. There is a difference. She looked at the bookshelf along the back wall, where the maps ended and the dark began. The shelf held volumes with spines rubbed to grey. One row sat a finger wider than the others. You have a back room. I have a storage room. It is not on the floor plan. Most useful rooms are not. You could put me in it. No. You could protect me. He turned the tumbler in his palm. You are not a package. You are not a file. You are not a man with a shop and a soft place to park. Then what am I? You are the person who sat in my kitchen while my mother boiled water and told me the world was not going to end. You are the one who carried the kettle when she fell asleep. You are the one who did not leave. She picked up the brass key. It was warm from his pocket. I left Cardiff. You left the house. I am not the house. I am not who you kept in the stories. I kept you the way you were when you could still be angry. She turned the key over in her fingers. The scar on her wrist showed in the green light. Angry would be easier. It is easier than what you have become. I have not become anything. I am here. You are here. He moved to the back of the bar. His left leg caught on the edge of the floor and he stopped for a heartbeat, his jaw tightening. The bar creaked under him. When he came forward, he held a second glass and a tin of biscuits on a small plate. You used to eat them with tea. I used to eat them when I was afraid of what I would say. You still have the tin. She put her hand over the biscuits before she could stop herself. He saw. Sit, Rory. No. You will stand there all night and the duck will go on smelling of rain. She looked at the stool. The wood had a mark worn smooth by a hundred people. The radio played the last note of the string line, then silence. The green sign buzzed. She pulled the stool out. The metal leg scraped the floor. She sat, and the bag slid from her hands to the table. The duck fell open, steam rising from the paper. Silas set the plate in front of her. He took a biscuit from the tin, tore it, and dropped the piece into his glass. Tell me what happened, he said. Tell me what killed you. He looked at her. The maps did not move. Ask me another question, he said.
created_at"2026-09-03T15:35:41.238Z" 9/3/2026, 3:35:41 PM
model"qwen/qwen3.8-27b-20260814"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency506
moderation_latency(null)
generation_time240088
tokens_prompt1063
tokens_completion9699
native_tokens_prompt1166
native_tokens_completion10356
native_tokens_completion_images(null)
native_tokens_reasoning8193
native_tokens_cached64
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)
usage0.031512
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788449741-PFuaAEEm0eEK5ifrXUJ8"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788449741-HLnXPczjl1AaO8TfAKUW"
upstream_id"req_839913f25c2d1927201a7569b36f8487"
provider_responses
0
endpoint_id"cfc4d0ca-df7c-4b5f-9c74-328c41a7cbc3"
id"req_839913f25c2d1927201a7569b36f8487"
is_byokfalse
latency506
model_permaslug"qwen/qwen3.8-27b-20260814"
provider_name"Phala"
status200
total_cost0.031512
cache_discount0.0000224
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
totalTags0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1684
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)
94.06% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1684
totalAiIsms2
found
0
word"weight"
count1
1
word"silence"
count1
highlights
0"weight"
1"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
emotionTells1
narrationSentences234
matches
0"was afraid"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount7
hedgeCount0
narrationSentences234
filterMatches
0"know"
1"think"
2"look"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences234
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen32
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1684
ratio0
matches(empty)
0.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions5
matches
0"Aurora, she corrected."
1"Eva called me in April, he said."
2"You were the friend who stayed for tea, she said."
3"Tell me what happened, he said."
4"Ask me another question, he said."
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions66
wordCount1684
uniqueNames17
maxNameDensity2.26
worstName"You"
maxWindowNameDensity5.5
worstWindowName"You"
discoveredNames
Soho1
Rory3
Raven1
Nest1
Golden2
Empress2
Blackwood1
London1
April1
Farringdon1
Cardiff4
Prague2
Yu-Fei2
Pembroke1
Road1
Silas4
You38
persons
0"Rory"
1"Blackwood"
2"Yu-Fei"
3"Silas"
4"You"
places
0"Soho"
1"Raven"
2"Golden"
3"London"
4"April"
5"Farringdon"
6"Cardiff"
7"Prague"
8"Pembroke"
9"Road"
globalScore0.372
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences132
glossingSentenceCount1
matches
0"as if keeping it company"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1684
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences234
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs139
mean12.12
std13.02
cv1.075
sampleLengths
078
133
210
335
43
58
63
737
84
92
105
1121
1223
132
141
1512
164
179
1810
1953
201
214
224
235
246
2511
2640
275
288
298
3023
3132
322
338
341
3532
3634
3726
388
396
406
416
4238
435
4454
458
466
475
488
4918
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences234
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs325
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences234
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1690
adjectiveStacks0
stackExamples(empty)
adverbCount26
adverbRatio0.015384615384615385
lyAdverbCount1
lyAdverbRatio0.000591715976331361
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences234
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences234
mean7.2
std4.58
cv0.637
sampleLengths
025
119
214
38
412
512
67
78
86
910
107
116
128
1314
141
152
168
173
1832
195
204
212
225
235
242
2514
264
278
2811
292
301
315
327
334
349
3510
365
379
385
3912
4022
411
424
434
445
456
467
474
487
4915
35.04% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats35
diversityRatio0.23931623931623933
totalSentences234
uniqueOpeners56
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount7
totalSentences210
matches
0"Then he poured a measure"
1"Then the duck is going"
2"Then don’t wish."
3"Then why is he looking?"
4"Then why tell me?"
5"Most useful rooms are not."
6"Then what am I?"
ratio0.033
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount132
totalSentences210
matches
0"She set the bag on"
1"She turned when the cloth"
2"His beard followed the same"
3"His left foot sat flat"
4"She felt the name land"
5"He looked at her for"
6"He set the tumbler down."
7"You are in London."
8"She lifted the damp bag."
9"He did not laugh."
10"His hand rested on the"
11"He leaned toward the counter."
12"You are not wearing a"
13"It’s in the pocket."
14"You used to wear your"
15"I used to wear a"
16"She stayed by the duck."
17"I have a route."
18"You have fifteen minutes."
19"Her fingers closed on the"
ratio0.629
40.95% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount176
totalSentences210
matches
0"The green sign above the"
1"Rain had soaked the paper"
2"The bar smelled of old"
3"Maps hung on the walls,"
4"She set the bag on"
5"A half-eaten plate of duck"
6"A glass held a dark"
7"The regular had not come"
8"She turned when the cloth"
9"Silas Blackwood stood there, wiping"
10"His beard followed the same"
11"His left foot sat flat"
12"She felt the name land"
13"Aurora, she corrected."
14"He looked at her for"
15"He set the tumbler down."
16"You are in London."
17"She lifted the damp bag."
18"He did not laugh."
19"His hand rested on the"
ratio0.838
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount5
totalSentences210
matches
0"Because I own the flat"
1"If I called, you would"
2"Before you left."
3"To the funeral."
4"Because he likes knowing where"
ratio0.024
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences54
technicalSentenceCount2
matches
0"The left rested near his knee, still, as if keeping it company."
1"I am the woman who reads contracts for Yu-Fei."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
85.6686%