Run: 2026-09-02-01M1HBCN4ZHESC1FG4K305JTXE

Run Details

Duration:
50.8s
Cost:
$0.000913
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
The green neon sign buzzed like a trapped wasp, casting a bruised violet glow over the slick Soho pavement. Aurora pulled her wool coat tighter against the damp London chill and pushed through the heavy oak door. The Raven’s Nest swallowed her whole. Inside, the air was thick with the scent of aged peat, lemon oil, and yesterday’s rain. Low amber light bled from brass sconces, catching the dust motes that drifted over walls papered with faded cartography and black-and-white photographs of strangers in trench coats, their faces sharpened by decades of exposure. Silas stood behind the mahogany counter, polishing a tumbler with a linen rag that had seen better centuries. His grey-streaked auburn hair was combed back, his neatly trimmed beard catching the dim light. He noticed her first, the slight hitch in his step giving away the old knee injury even as he set the glass down. He didn’t smile, but his hazel eyes warmed with quiet recognition. Upstairs or downstairs tonight, he asked, his voice a low gravel that seemed to vibrate through the floorboards. Down, Aurora said, though she hadn’t planned on staying. She just needed to feel anchored before climbing the narrow stairs to her flat above the bar. Double gin. Neat. As she moved toward a corner booth, her gaze swept past the tall oak bookshelf that lined the far wall. Behind it lay the concealed study, accessible only by a pressure latch, where Silas kept his confidential ledgers and encrypted transceivers. Her attention slid past the hidden compartment and locked onto a man sitting alone at the end of the bar. He wore a charcoal suit that cost more than her monthly rent, but the fabric hung loosely on shoulders that had begun to slope under invisible weights. His hair was cropped short, salted with premature grey, and his face bore the careful exhaustion of someone who smiled for clients until it ached. Rory stopped breathing for half a second. Her straight, shoulder-length black hair fell across her cheek as she turned. Thomas, she said, the name slipping out before she could weigh it. He turned. Time did its quiet violence. Five years collapsed into the space between them. His pupils dilated, then narrowed. The glass in his hand trembled almost imperceptibly before he set it down. Rory, he said. His voice was deeper, flattened by ambition and disuse. God. You’re here. She pulled out the chair opposite him. The wood scraped against the floor, a harsh sound in the hushed room. Silas wiped the counter again, pretending not to listen, but his posture remained angled toward them, a silent sentinel. The silver signet ring on his right hand glinted as he reached for a fresh bottle. You’re late, Thomas said, but there was no accusation in it. Just a dry, humorless laugh. Or early. I forget which way the river flows anymore. London’s been moving faster than Cardiff lately. It always does. He ran a thumb over the rim of his glass. I heard you left. Heard you disappeared. Eva made sure everyone knew you were gone, but… I never pictured this. He glanced around at the maps, the photographs, the green neon bleeding through the street outside. Not you. Not here. And I never pictured you in a pinstripe. He smiled, but it didn’t reach his eyes. Pity you’re wrong. Partners track at Harrow & Vane. Sixteen hour days. A mortgage in Kensington. A wife who thinks silence is affection. He paused, swallowing hard. How are you? Fine. The word felt inadequate, so she added, I work deliveries for Yu-Fei’s place on Sundays. Live above the bar. Still pre-law on my own schedule. It’s quiet. It’s enough. Thomas nodded slowly. Quiet suits you. You were always the one who listened. I used to think you were just playing it safe. Staying in Cardiff. Taking the lectures. Thinking the syllabus would hold the world together. He looked down at his hands. I was wrong. The world doesn’t care about syllabi. Neither does the city above us, Aurora said softly. She traced the small crescent-shaped scar on her left wrist, a childhood reflex that grounded her when conversations tilted too close to the bone. You took the scholarship. Got the degree. Went straight in. You built exactly what you wanted. Did I? His voice cracked on the question. He cleared his throat. I wanted stability. I wanted proof I wasn’t going to fail my family. My father’s factory closed when I was nineteen. I swore I’d never wear the same belt twice. So I did the math. I followed the markers. Became the partner. Bought the flat. Paid the debts. He leaned forward, elbows on the bar. But every time I walk into a boardroom, I see your face in the reflection of the glass table. You’re still studying the cases. Still reading the footnotes. Still believing the rules matter if you just learn them well enough. They do, she said, though the certainty in her voice felt thinner now. Just not for everyone. No. He pressed his palm flat against the polished wood. Not for everyone. And that’s what kills me, Rory. I know I chose safety. I know I traded surprise for security. But when you look at me now, you don’t see triumph. You see a man who forgot how to take a risk that didn’t come with a clause. Outside, a siren wailed, muffled by the double-paned glass. Inside, the hum of the ice machine filled the space between them. Aurora watched the condensation bead on her gin glass, tracking a single drop as it raced down the side. She thought of Evan, of the slammed doors and the suffocating apartment in Maida Vale, of Eva’s urgent texts that read Leave. Now. Don’t pack. She thought of the flight she couldn’t afford, the ticket Eva bought, the way she’d boarded without looking back because looking back meant admitting how easy it had been to break. I ran, she said finally. The admission hung in the air, heavy and undeniable. I told myself it was strategic. Cold calculation. But I just… ran. I took the lowest job I could find. Dropped out of formal classes. Started learning by doing. By watching Silas. By navigating streets that taught me more than any lecture hall ever did. She lifted her chin. You stayed. You built a fortress. Maybe fortresses keep out arrows. But they also keep out the wind. Thomas didn’t flinch. He just stared at her, and in that stare was the accumulated weight of ten thousand unspoken evenings, the quiet erosion of a friendship fractured by distance and divergent survival strategies. You didn’t have to tell me that. I’m glad I did. Silas emerged from behind the bar, moving with that quiet, deliberate rhythm. His six-foot-one frame cast a long shadow against the wall of maps. He knew better than to interrupt the architecture of grief. He simply refilled Thomas’s glass with a measured pour, leaving it sliding across the mahogany toward him without a word. His limp was barely noticeable, a rhythmic adjustment of balance, but Aurora saw the way his beard brushed his collar as he nodded. Thomas wrapped his fingers around the bottle’s neck. Do you ever wonder what would’ve happened if we’d both taken the same path? If I’d left with you instead of chasing the partnership? Aurora considered the question. It tasted like copper and regret. Probably neither of us would be standing here, she said. Some roads don’t fork. They burn. And you have to choose which fire you walk through. He exhaled, a slow release of breath he seemed to have been holding for half a decade. You still think in metaphors. Only when the literal truths are too heavy to carry. The jukebox in the corner clicked, resolving into the opening chords of a jazz standard. Neither of them reached for it. The music belonged to strangers. Their conversation had already stripped itself down to the necessary bones. Thomas signaled for the check. When it came, he placed a crisp note beneath the leather folder, leaving nothing for argument. I should get back. Early morning tomorrow. Client calls at seven. Traffic’ll be worse by nine, Aurora said automatically, the habit of navigation ingrained. I know. He stood, adjusting his jacket. For a moment, the careful armor slipped, revealing the twenty-two-year-old who had shared cheap lager and loud debates about contract law in cramped library carrels. Take care of yourself, Rory. Truly. You too, Tom. He hesitated at the edge of the booth, then nodded once, sharply, and walked toward the door. The heavy oak swung shut, swallowing him back into the Soho night. Aurora sat alone. The ice in her glass had melted down to slush, diluting the spirit to something pale and watery. She didn’t mind. She traced the crescent scar on her wrist one last time, feeling the raised ridge of it, a map of an old wound that never fully closed but never bled either. Silas returned to his post, leaning his forearms on the counter. His hazel eyes met hers, steady and unreadable. Long time, he asked. Years, she said. He looks older than he is. We all do. Silas nodded slowly, his silver signet ring tapping once against the wood. Time collects interest whether you deposit it or not. She picked up the glass, drained the rest, and felt the warmth spread through her chest, steady and unyielding. Yeah. She set it down. Thanks, Si. Upstairs or downstairs tonight, he asked again, mirroring the first question, as if the loop had finally closed. Down, she said. For a while longer. The green neon sign flickered outside, buzzing against the damp dark, and inside the Nest, the maps on the walls held true north for everyone who knew how to read them. Aurora Carter sat very still, listening to the quiet hum of the city, feeling the weight of what she’d left behind settle into her bones, not as a burden, but as ballast. She had chosen her fire. She would walk through it.
created_at"2026-09-02T15:21:51.527Z" 9/2/2026, 3:21:51 PM
model"qwen/qwen3.7-flash-20260727"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency420
moderation_latency(null)
generation_time50709
tokens_prompt846
tokens_completion7587
native_tokens_prompt865
native_tokens_completion6826
native_tokens_completion_images(null)
native_tokens_reasoning4643
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)
usage0.00091333
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788362511-RDe8n0lSvHapzucNVYV0"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788362511-wV0YSMRFX6JeYZCeLZ1h"
upstream_id"chatcmpl-a9e38813-4fc0-92e8-b705-e595a3bac400"
provider_responses
0
endpoint_id"5a9a0ee6-874a-4d03-92be-e5094c0df4e7"
id"chatcmpl-a9e38813-4fc0-92e8-b705-e595a3bac400"
is_byokfalse
latency420
model_permaslug"qwen/qwen3.7-flash-20260727"
provider_name"Alibaba"
status200
total_cost0.00091333
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
totalTags0
79.24% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1686
totalAiIsmAdverbs7
found
0
adverb"loosely"
count1
1
adverb"slowly"
count2
2
adverb"softly"
count1
3
adverb"truly"
count1
4
adverb"sharply"
count1
5
adverb"very"
count1
highlights
0"loosely"
1"slowly"
2"softly"
3"truly"
4"sharply"
5"very"
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)
37.72% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1686
totalAiIsms21
found
0
word"chill"
count1
1
word"trembled"
count1
2
word"sentinel"
count1
3
word"silence"
count1
4
word"affection"
count1
5
word"traced"
count2
6
word"raced"
count1
7
word"navigating"
count1
8
word"weight"
count2
9
word"unspoken"
count1
10
word"fractured"
count1
11
word"long shadow"
count1
12
word"measured"
count1
13
word"rhythmic"
count1
14
word"resolving"
count1
15
word"standard"
count1
16
word"unreadable"
count1
17
word"warmth"
count1
18
word"flickered"
count1
highlights
0"chill"
1"trembled"
2"sentinel"
3"silence"
4"affection"
5"traced"
6"raced"
7"navigating"
8"weight"
9"unspoken"
10"fractured"
11"long shadow"
12"measured"
13"rhythmic"
14"resolving"
15"standard"
16"unreadable"
17"warmth"
18"flickered"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow1
found
0
label"air was thick with"
count1
1
label"hung in the air"
count1
highlights
0"the air was thick with"
1"hung in the air"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences192
matches(empty)
83.33% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount6
hedgeCount2
narrationSentences192
filterMatches
0"see"
1"know"
2"look"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences192
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen36
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1686
ratio0
matches(empty)
0.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions17
unquotedAttributions11
matches
0"Upstairs or downstairs tonight, he asked, his voice a low gravel that seemed to vibrate through the floorboards."
1"Thomas, she said, the name slipping out before she could weigh it."
2"Rory, he said."
3"Neither does the city above us, Aurora said softly."
4"They do, she said, though the certainty in her voice felt thinner now."
5"I ran, she said finally."
6"Probably neither of us would be standing here, she said."
7"Long time, he asked."
8"Years, she said."
9"Upstairs or downstairs tonight, he asked again, mirroring the first question, as if the loop had finally closed."
10"Down, she said."
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions63
wordCount1686
uniqueNames23
maxNameDensity0.71
worstName"You"
maxWindowNameDensity2
worstWindowName"You"
discoveredNames
Soho2
London2
Raven1
Nest2
Aurora9
Silas7
Thomas7
Cardiff2
Harrow1
Vane1
Kensington1
Yu-Fei1
Sundays1
Rory4
Evan1
Maida1
Vale1
Eva3
Leave1
Tom1
Si1
Carter1
You12
persons
0"Raven"
1"Aurora"
2"Silas"
3"Thomas"
4"Rory"
5"Evan"
6"Eva"
7"Tom"
8"Carter"
9"You"
places
0"Soho"
1"London"
2"Cardiff"
3"Harrow"
4"Kensington"
5"Yu-Fei"
6"Maida"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences104
glossingSentenceCount2
matches
0"gravel that seemed to vibrate through the floorboards"
1"tasted like copper and regret"
81.38% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches2
per1kWords1.186
wordCount1686
matches
0"not to listen, but his posture remained angled toward them, a silent sentinel"
1"not as a burden, but as ballast"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences192
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs44
mean38.32
std34.99
cv0.913
sampleLengths
0160
118
229
3132
412
533
615
755
826
97
1053
118
1238
1330
1452
1549
16107
1717
1859
1996
2081
2141
224
2377
2432
2536
2622
2710
2837
2932
3013
3138
323
3329
3474
354
363
376
383
3921
4026
4118
427
4373
99.78% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences192
matches
0"was combed"
1"was cropped"
2"were gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs325
matches
0"were just playing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences192
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1698
adjectiveStacks1
stackExamples
0"small crescent-shaped scar"
adverbCount64
adverbRatio0.03769140164899882
lyAdverbCount23
lyAdverbRatio0.013545347467608953
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences192
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences192
mean8.78
std7.24
cv0.825
sampleLengths
019
118
26
316
434
518
615
723
811
918
109
1117
122
131
1420
1521
1620
1727
1825
197
2012
2112
222
235
248
255
2613
273
289
291
302
317
3213
3319
3416
3511
365
372
388
397
403
4110
424
433
449
454
4616
472
482
498
64.06% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats12
diversityRatio0.421875
totalSentences192
uniqueOpeners81
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount8
totalSentences169
matches
0"Just a dry, humorless laugh."
1"Still pre-law on my own"
2"Still reading the footnotes."
3"Still believing the rules matter"
4"Just not for everyone."
5"Maybe fortresses keep out arrows."
6"Probably neither of us would"
7"Only when the literal truths"
ratio0.047
49.59% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount72
totalSentences169
matches
0"His grey-streaked auburn hair was"
1"He noticed her first, the"
2"He didn’t smile, but his"
3"She just needed to feel"
4"Her attention slid past the"
5"He wore a charcoal suit"
6"His hair was cropped short,"
7"Her straight, shoulder-length black hair"
8"His pupils dilated, then narrowed."
9"His voice was deeper, flattened"
10"She pulled out the chair"
11"You’re late, Thomas said, but"
12"I forget which way the"
13"It always does."
14"He ran a thumb over"
15"I heard you left."
16"I never pictured this."
17"He glanced around at the"
18"He smiled, but it didn’t"
19"He paused, swallowing hard."
ratio0.426
100.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount116
totalSentences169
matches
0"The green neon sign buzzed"
1"Aurora pulled her wool coat"
2"The Raven’s Nest swallowed her"
3"Silas stood behind the mahogany"
4"His grey-streaked auburn hair was"
5"He noticed her first, the"
6"He didn’t smile, but his"
7"She just needed to feel"
8"Her attention slid past the"
9"He wore a charcoal suit"
10"His hair was cropped short,"
11"Rory stopped breathing for half"
12"Her straight, shoulder-length black hair"
13"Thomas, she said, the name"
14"Time did its quiet violence."
15"His pupils dilated, then narrowed."
16"The glass in his hand"
17"Rory, he said."
18"His voice was deeper, flattened"
19"She pulled out the chair"
ratio0.686
29.59% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences169
matches
0"If I’d left with you"
ratio0.006
23.81% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences66
technicalSentenceCount11
matches
0"Low amber light bled from brass sconces, catching the dust motes that drifted over walls papered with faded cartography and black-and-white photographs of stran…"
1"Silas stood behind the mahogany counter, polishing a tumbler with a linen rag that had seen better centuries."
2"Upstairs or downstairs tonight, he asked, his voice a low gravel that seemed to vibrate through the floorboards."
3"As she moved toward a corner booth, her gaze swept past the tall oak bookshelf that lined the far wall."
4"He wore a charcoal suit that cost more than her monthly rent, but the fabric hung loosely on shoulders that had begun to slope under invisible weights."
5"His hair was cropped short, salted with premature grey, and his face bore the careful exhaustion of someone who smiled for clients until it ached."
6"She traced the small crescent-shaped scar on her left wrist, a childhood reflex that grounded her when conversations tilted too close to the bone."
7"She thought of Evan, of the slammed doors and the suffocating apartment in Maida Vale, of Eva’s urgent texts that read Leave."
8"For a moment, the careful armor slipped, revealing the twenty-two-year-old who had shared cheap lager and loud debates about contract law in cramped library car…"
9"Upstairs or downstairs tonight, he asked again, mirroring the first question, as if the loop had finally closed."
10"The green neon sign flickered outside, buzzing against the damp dark, and inside the Nest, the maps on the walls held true north for everyone who knew how to re…"
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
84.7499%