Run: 2026-09-02-01M1HGCA3S42BBAXTC3F5DS18W

Run Details

Duration:
3m 24s
Cost:
$0.008419
Provider:
Alibaba

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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> 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.

Model response

AI
Rain had turned Soho into a black mirror beneath the green neon of The Raven’s Nest, and Aurora Carter came through it with a plastic bag of fortune cookies swinging against her hip and the smell of fried garlic clinging to her coat. Inside, the bar was low-lit and warm enough to sting. Old maps papered the walls beside black-and-white photographs of men who looked as though they had learned not to smile on command. Silas stood behind the bar, neat grey-streaked auburn beard trimmed close, hazel eyes moving over her with the quiet assessment of a man who had spent decades reading rooms before reading faces. He had a glass in one hand and a silver ring in the other, the signet catching the light every time he set it down. “You’re late,” he said. “Golden Empress isn’t.” “No. But time usually is.” His left leg stiffened as he shifted his weight, and she looked away so he would not see her notice. “Back room. Someone asked for a quiet table. He did not expect you. I have not told him anything.” She wanted to ask what kind of man would come into the Nest seeking quiet, but she had learned London by not asking too much. She pulled off her delivery bag, laid it beside the coat stand, and walked to the bookshelf that looked as though it had swallowed half the bar’s history. The shelf swung without creaking. The hidden room smelled of dust, whisky, and damp wool. At the small table near the photographs sat a man who had not aged exactly the way she expected. Owen Meredith had left Cardiff as a lanky law student with too many ties and the habit of arguing as if the world were a room he could improve by raising his voice. He had been pale and eager, a person who wore his future like a borrowed coat until it fit. The man before her was narrower, slower. There was a grey line at his temple and a steadiness in his hands that she did not recognize from the old days, when he had tapped rhythms on tabletops, always late to pay debts, always too much of something and not enough of whatever came after. “Rory,” he said. “Owen.” For a moment neither of them smiled. Her name in his mouth sounded like an old song played in a house she had left. He stood, then stopped himself and sat back down, which was strange; Owen had never been careful with chairs. “You’re in London,” she said. “I have been here three years.” “You’ve been here three years.” “Yes.” He looked at her wet hair, the delivery logo on her collar, the crescent scar at her left wrist where a sleeve had slipped. “You’re not here three years.” “I’m a lot of places,” she said. “You used to say you’d be one place by twenty-six. A barrister’s office. You’d be furious at the coffee. You’d be furious at your tie.” She laughed once, a small, dry sound. “I am furious at the coffee. Not for the reason you mean.” He had ordered tea and not drunk it. She noticed the cup’s rim, and the way his thumb rested on the saucer as though checking he would not spill it. “Silas didn’t tell you I’d come?” he asked. “He said a man wanted quiet. He didn’t say which ghost.” Owen looked toward the bookshelf, then back. “I asked to see him about a project. Community safety. Young men on bail, mostly. We use this address sometimes because the landladies don’t like our paperwork. I didn’t know you worked here.” “I deliver food. I live upstairs. I am not an employee in any dramatic sense.” “You look different.” “You don’t.” He smiled, but the old boyishness was not there. His face had become a place where things had happened and stopped happening. There was a thin scar through one eyebrow, and his clothes were practical, a good coat that had been mended at the cuff. He had a watch with a cracked face and a band so faded the brand had vanished. “You’ve stopped apologizing with your eyes,” she said. “Years in court can teach you what a face costs.” “Not that.” She pulled out a chair and sat across from him because standing seemed worse. “The way you used to look at people like you owed them a good time.” “I did owe them. I still do.” Silence came in, not empty but full, the sound of the street muffled by the wall and the bar beyond the shelf. In the photographs, dead men looked out with the patient expressions of people whose stories had been printed. Owen reached for his tea and set it down without drinking. “I heard about Evan,” he said. She kept her face still. “You heard.” “Later. After you left. I heard from someone at the chambers, then I saw a news item about his company. I didn’t call. I wrote. I started letters. I didn’t send them.” “You could have sent one.” “I know.” The words sat on the table between them. She had rehearsed anger against him for years, a clean, simple anger that did not require her to account for every silence she had kept around other silences. He had been there the night before Cardiff stopped being a city she could live in. He had been at the pub in Roath when Evan had put a hand on the back of her neck, not hard, not soft, a hand that said you belong to my sentence now. Owen had looked at his pint. He had laughed at something to keep the table easy. She had not hated him then; she had hated how easy it was for good people to become witnesses who needed to be excused. “You were afraid,” she said. “I was.” “That’s not an apology.” “No. It isn’t.” “Why are you here, Owen?” He looked at the secret room, then at her hands. “Because I learned what it means to be late. Not to court. Not to a deadline. To the moment when it could have helped.” “Can’t you fix it by telling me that now?” “No.” The honesty surprised her. He had always loved being eloquent. Now his voice was stripped of its performance. He looked tired, and yet not defeated. He had put on weight in places she did not know his body could carry. His knuckles had swollen. There was a child’s drawing folded into the inside pocket of his jacket, the edge of a crayoned sun visible. She saw it before she could decide whether to mention it. “You have a child,” she said. “A daughter. Lowri. She’s two. She has my stubbornness and her mother’s patience.” “You never married.” “No. We don’t. Her mother and I are friends. She has a life I’m glad she has. I have a flat near a park. I work with men who hit people. It’s not poetic. Mostly it’s forms and late nights and the smell of damp coats.” A laugh rose in her, and she let it come. It was small and real. “You sound like a judge.” “I sound like a man who left the Bar course.” “Why?” He considered the cracked watch. “Because I kept winning arguments and then going home. Because I thought law was a way of being good. It isn’t. It’s a way of being useful. I’m not very good at being useful. I’m only learning to stay.” The sentence stayed with her. She thought of the flat above the bar, of the lock she had changed twice, of the way she scanned faces on the platform before boarding a train. “I left Cardiff because I was terrified,” she said. “That’s not interesting, but it’s true. I came to London because Eva said there was a room, and a job, and that if I stayed I would learn to call it a home instead of a hiding place.” “Eva called me,” Owen said. The name landed differently. “What?” “After you had gone. She was worried. I was drunk, or sober enough to be honest about what I had done. She said you were alive, that you were not in a prison or a hospital or a grave. I sat outside the law faculty until sunrise.” “You said it would be fine.” “I said it would be better.” “It was.” She lifted her chin, suddenly aware of her own voice changing. “It wasn’t bad. It wasn’t the thing I thought it was.” “You could have called me.” “I could have. I didn’t know which Owen would answer.” He had no reply, and she was glad of that. The door to the back room opened enough to show the bookshelf’s edge. Silas’s face was calm, his beard trimmed, his expression arranged to be neither intrusion nor invitation. “Tea?” he asked. “No,” Aurora said. “He’s leaving soon.” “Yes,” Owen said. Silas looked between them. “There are taxis outside. The rain is worse.” When Silas left, Owen put a folded paper on the table. It was not a letter. It was a flyer for the young people’s project, with a logo like a door half open. He slid it toward her. “You don’t have to come,” he said. “I know.” “I have something on the old district. A name, a file. Silas says you are careful. You are careful. You didn’t use to be.” She looked up. “I was careful about other things.” “Yes.” He touched the edge of the flyer and did not pick it up. “I am sorry I did not ask.” Her mouth tightened. “You didn’t ask because I made it easy not to ask.” “You were twenty-one.” “I was not the friend I thought I was when I left. I was not the person who stayed to help you with your brother’s court hearing. You never told me that was hard for you.” “I didn’t want pity.” “You didn’t want me seeing a mess.” “Yes.” He said it quietly. “God, yes.” There was a line in his voice that broke her open for a second. She looked away at the black-and-white faces, at the map of a London that no longer existed, at the small crescent scar on her wrist where she had once fallen through glass and Owen had carried her to the hospital in a borrowed shirt and told her, with dramatic horror, that her blood had ruined a secondhand blouse. Now his hand lay still on the table, not reaching, not demanding. “Do you know what I wanted to say?” she asked. “No.” “That I forgave you. But I don’t know if it’s the right time, and if I say it anyway it will turn into a lie.” “Good.” He nodded. “I don’t want a lie. I want you to know where I am now. Not the pub. Not Evan. Not Cardiff. Now.” She looked at him. “You’re not who I expected.” “You’re not who I expected.” “That’s not a compliment.” “It’s a fact. And a compliment. And a fact.” He smiled, and for a moment the old Owen appeared in him, quick and tender and foolish, before the newer man covered it with patience. “I can tell you are proud of the person you became, and that pride costs more than you should have to pay.” “I had to become someone who could come into a room and leave if she needed to.” “Yes.” His voice roughened. “That’s the same thing I was learning.” Silas came back with a cloth for a spill that had not happened. “If you are finished, I can lock the shelves.” Aurora stood. Owen stood too, slower than before. He did not offer his hand. She saw him look at it anyway, then at the flyer, then at her. “Will you be here?” he asked. “Not every night.” “Can I leave my number?” She took a pen from her coat pocket and wrote on the back of an old delivery slip. She handed it to him, and their fingers almost touched, but not quite. There were boundaries now; she had learned to build them out of necessity, not cruelty. “I will look at the flyer,” she said. “Good.” “I won’t thank you for not being perfect.” “That’s fair.” He put the slip away carefully. As he moved toward the bookshelf, he paused. “You still have the scar.” “I do.” “I used to think you’d forget that summer.” “I didn’t forget it. I just stopped telling it to strangers.” He nodded. The green neon from outside bled through a crack in the wall, making his face briefly blue. Then the shelf swung and took him into the bar. Aurora stood alone in the small room. Tea had gone cold. Rain whispered against the hidden windows. She thought of Owen’s daughter, of the child’s drawing in his pocket, of the years they had spent trying to be honest with each other in different rooms. For a moment she wanted to follow him, to say more, to name the thing that had happened between them and how it had aged them both. She did not. She picked up the flyer, carried it to her table, and sat down in the quiet.
created_at"2026-09-02T16:49:09.4Z" 9/2/2026, 4:49:09 PM
model"qwen/qwen3.8-flash-20260826"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4767
moderation_latency(null)
generation_time197397
tokens_prompt846
tokens_completion18465
native_tokens_prompt903
native_tokens_completion17625
native_tokens_completion_images(null)
native_tokens_reasoning14766
native_tokens_cached0
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)
usage0.0084192
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788367749-XLL2YEhJmlj85s2RyCdy"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788367749-jlN1Y7K37Xhze0eBmD5D"
upstream_id"chatcmpl-a2b34e3d-6507-903d-8d58-cc80944c9d9f"
provider_responses
0
endpoint_id"84b1e4a7-5aed-4464-818f-1994f0b4ee18"
id"chatcmpl-a2b34e3d-6507-903d-8d58-cc80944c9d9f"
is_byokfalse
latency4766
model_permaslug"qwen/qwen3.8-flash-20260826"
provider_name"Alibaba"
status200
total_cost0.0084192
cache_discount(null)
upstream_inference_cost0
provider_name"Alibaba"
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
totalTags27
adverbTagCount0
adverbTags(empty)
dialogueSentences100
tagDensity0.27
leniency0.54
rawRatio0
effectiveRatio0
93.23% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount2216
totalAiIsmAdverbs3
found
0
adverb"very"
count1
1
adverb"suddenly"
count1
2
adverb"carefully"
count1
highlights
0"very"
1"suddenly"
2"carefully"
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)
81.95% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount2216
totalAiIsms8
found
0
word"weight"
count2
1
word"eyebrow"
count1
2
word"silence"
count2
3
word"scanned"
count1
4
word"grave"
count1
5
word"perfect"
count1
highlights
0"weight"
1"eyebrow"
2"silence"
3"scanned"
4"grave"
5"perfect"
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
narrationSentences112
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences112
filterMatches
0"notice"
1"look"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences185
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen60
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords2216
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions36
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions34
wordCount1346
uniqueNames13
maxNameDensity0.89
worstName"Owen"
maxWindowNameDensity2
worstWindowName"Owen"
discoveredNames
Soho1
Raven1
Nest2
Aurora4
Carter1
London2
Meredith1
Cardiff2
Owen12
Silence1
Roath1
Evan1
Silas5
persons
0"Raven"
1"Aurora"
2"Carter"
3"Meredith"
4"Owen"
5"Silence"
6"Evan"
7"Silas"
places
0"Soho"
1"London"
2"Cardiff"
3"Roath"
globalScore1
windowScore1
13.01% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences73
glossingSentenceCount4
matches
0"sounded like an old song played in a house"
1"as though checking he would not spill it"
2"seemed worse"
3"not quite"
64.62% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches3
per1kWords1.354
wordCount2216
matches
0"not empty but full, the sound of the street muffled by the wall"
1"not interesting, but it’s true"
2"neither intrusion nor"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences185
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs104
mean21.31
std28.01
cv1.315
sampleLengths
0132
14
23
344
468
5125
63
71
843
95
106
115
1230
137
1425
1519
1638
1711
1840
1915
203
212
2262
238
2410
2531
267
2751
286
297
3032
315
322
33126
345
352
364
373
385
3934
409
411
4275
436
4413
453
4646
4720
4810
491
99.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences112
matches
0"been mended"
1"been printed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs240
matches(empty)
96.53% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount3
flaggedSentences3
totalSentences185
ratio0.016
matches
0"He stood, then stopped himself and sat back down, which was strange; Owen had never been careful with chairs."
1"She had not hated him then; she had hated how easy it was for good people to become witnesses who needed to be excused."
2"There were boundaries now; she had learned to build them out of necessity, not cruelty."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1352
adjectiveStacks1
stackExamples
0"neat grey-streaked auburn"
adverbCount41
adverbRatio0.030325443786982247
lyAdverbCount7
lyAdverbRatio0.005177514792899409
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences185
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences185
mean11.98
std10.63
cv0.887
sampleLengths
043
110
222
332
425
54
63
725
819
925
1028
115
1210
1319
1433
1519
167
1747
183
191
207
2117
2219
235
246
255
2625
275
287
2925
307
3112
328
3322
348
3511
367
3733
3815
393
402
419
4213
4323
4417
458
4610
4716
4815
497
40.81% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats17
diversityRatio0.24324324324324326
totalSentences185
uniqueOpeners45
36.63% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences91
matches
0"Then the shelf swung and"
ratio0.011
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount51
totalSentences91
matches
0"He had a glass in"
1"His left leg stiffened as"
2"She wanted to ask what"
3"She pulled off her delivery"
4"He had been pale and"
5"Her name in his mouth"
6"He stood, then stopped himself"
7"He looked at her wet"
8"She laughed once, a small,"
9"He had ordered tea and"
10"She noticed the cup’s rim,"
11"He smiled, but the old"
12"His face had become a"
13"He had a watch with"
14"She pulled out a chair"
15"She kept her face still."
16"She had rehearsed anger against"
17"He had been there the"
18"He had been at the"
19"He had laughed at something"
ratio0.56
47.91% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount75
totalSentences91
matches
0"Rain had turned Soho into"
1"Silas stood behind the bar,"
2"He had a glass in"
3"His left leg stiffened as"
4"She wanted to ask what"
5"She pulled off her delivery"
6"The shelf swung without creaking."
7"The hidden room smelled of"
8"Owen Meredith had left Cardiff"
9"He had been pale and"
10"The man before her was"
11"Her name in his mouth"
12"He stood, then stopped himself"
13"He looked at her wet"
14"She laughed once, a small,"
15"He had ordered tea and"
16"She noticed the cup’s rim,"
17"Owen looked toward the bookshelf,"
18"He smiled, but the old"
19"His face had become a"
ratio0.824
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences91
matches
0"Now his voice was stripped"
1"Now his hand lay still"
ratio0.022
71.43% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences50
technicalSentenceCount5
matches
0"Old maps papered the walls beside black-and-white photographs of men who looked as though they had learned not to smile on command."
1"Silas stood behind the bar, neat grey-streaked auburn beard trimmed close, hazel eyes moving over her with the quiet assessment of a man who had spent decades r…"
2"At the small table near the photographs sat a man who had not aged exactly the way she expected."
3"There was a thin scar through one eyebrow, and his clothes were practical, a good coat that had been mended at the cuff."
4"She had rehearsed anger against him for years, a clean, simple anger that did not require her to account for every silence she had kept around other silences."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags27
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags19
fancyCount0
fancyTags(empty)
dialogueSentences100
tagDensity0.19
leniency0.38
rawRatio0
effectiveRatio0
84.6373%