Run: 2026-03-25-01KMJ83GKZVNVFAAW4J7M6N3AG

Run Details

Duration:
50.6s
Cost:
$0.001218
Provider:
DeepInfra

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 Raven’s Nest smelled faintly of old wood and bourbon. Aurora swiped a damp cloth over the bar’s worn mahogany surface, her reflection in its gloss a smudge of black hair and sharp blue eyes. The neon green sign outside buzzed intermittently, casting a sickly glow through the frosted windows. It was just after midnight, the kind of hour that made silence feel louder than music. Behind the bar, a stack of pint glasses glistened in the dim light, but her thoughts were elsewhere—on the delivery bike waiting outside, on the three lost packages she still hadn’t tracked, on the way her left wrist throbbed where a thin scar curled like a crescent moon under her sleeve. Silas emerged from the back room, his limp dragging a trail through the floorboards. He paused in the doorway between the hidden bookshelf and the main bar, the creases around his eyes deepening as he took in her hunched posture. His signet ring caught the light when he adjusted his crutch, a flicker of silver that always made Aurora think of coins dropped in a wishing well. “You start clocking midnight oil as a bartender, Rory,” he said, his voice a gravelly drawl. “Or does Yu-Fei need you to mop up rice wine spills, too?” Aurora snorted, wiping under the taps in a deliberate rhythm. “Golden Empress is just for weekends. I’ve still got to return your favor by covering your bar tab, Mr. Blackwood.” “Silas. Or Si, if you’re going to keep using your chin to stare at the floor.” He limped closer, the scent of Old Pulteney whiskey clinging to his linen jacket. “You look like you’ve been chewing glass all evening. Try a dram? It won’t erase the rent, but it might stop yourself from counting ceiling cracks.” She glanced up, catching the way his hazel eyes mapped the shadows under her own. It was the same look he’d given her first night here, when the flat above the Nest had been a temporary fix and her knuckles still paled from Evan’s grip. Back then, she’d tried to laugh off the tremor in her hands. Silas had said nothing, just poured her a drink three sizes too bitter. “Just checking stock,” she said, nodding to the bottled gins behind her. “Yu-Fei’s on my case about expired cherries for her elderflower gin. You know how Welsh teachers’ daughters are about deadlines.” “Jennifer’s daughter raided the wine cellar at twelve, not that she’d ever admit it.” Silas lowered himself onto a stool with a sigh, the weight of his age settling in the angle of his joints. His fingers tapped the bar, once, twice, like he was timing a heartbeat. “Cardiff sent me a notice last week. They want to know if the ‘Carters’ will take their portraits for the university donor wall. You’d think kidnapping a kid and shipping her off to London would make them curioser.” The mention of her surname made her stiffen. Her mother had written to ask about the same thing, her letters folded with that brittle, lately-dissolved marker ink. Aurora had let the envelopes pile up in the Nest’s laundry hamper, beside cans of lager and a half-read Agatha Christie. “I’m not exactly a photobombing type.” “Neither were you when you were twenty and half-mad with theory about Roman road networks.” He raised an eyebrow, the old ghost of a wry smile playing. “Remember? You spent your gap year arguing with professors who hadn’t read your footnotes.” “The footnotes were for *their* benefit,” she said, grinning despite herself. The memory bloomed: those fluorescent-lit libraries in Cardiff, the way her father had once shaken his head as she lectured him about Hadrian’s Wall during a rare visit to his chambers. Those days felt like another language now, one she’d forgotten how to conjugate. Silas tilted his glass, watching the amber liquor catch the neon’s green edge. “You don’t lecture anymore,” he said softly. “Not really. Just like the bar doesn’t whisper like it used to when you were here. Something’s been… quieter on this end of the bar since you started.” She froze, her thumb hovering over a glass. The silence stretched until the clink of train tracks outside the soot-streaked windows cut through it. Somewhere beneath the city’s exhale, the Underground was carrying hundreds of people toward sleep, toward home, toward whatever worst thing they’d face tomorrow. “There’s a difference between loud and loud,” she said finally. “Like the difference between a slammed door and a bomb. I’m more into lived quiet now. It’s efficient.” He studied her, the line of his jaw tightening. “Efficiency’s a survival tactic. You’ve known that since your first week here.” Aurora busied her hands, polishing a tumbler until it gleamed. The scar on her wrist throbbed, a reminder of the kitchen backsplash in Cardiff, the chipped ceramic bowl she’d dropped in a panic, the way Evan had grabbed her wrist and laughed when she started to bleed. She’d walked to Eva that night with her blood on the tiles, but never once told Silas about the man who’d once used her thesis on ancient trade routes to plot their arguments. “You taught me efficiency,” she said, the words too sharp. “Soho’s not Cardiff. If you want to chide for cutting corners, start with your own fire exit.” Silas’s expression didn’t flinch, but his fingers curled tighter around the glass. “We don’t talk about what came before,” he said quietly. “You left that to the insurance forms and the police who never saw the signs. But I’ve seen your hours, Rory. The days you start before sunrise, the nights that end after Silas Blackwood’s long gone to bed. If you were still at that university, you’d be writing your thesis on toxic masculinity now.” She hurled the damp cloth into the bin. The sound was satisfying, ugly. “Would you like me to pretend it’s sunny and twenty years ago? That I’m the girl who got A*s and liked to think she could fix the world with footnotes? That’s not me, Silas. I’m the person standing here keeping the bar from collapsing under its own history. Under its own ghosts.” He reached out, but stopped himself from touching her. “And Evan Stewart becomes a footnote because you let it. Because you think silence is the same as survival.” Aurora turned to face him, her scar pale in the dim light. “You think I don’t know I’m the same coward who didn’t press charges? The same version of myself who ran when the lights went out?” Her voice cracked, low and raw. “But I’m still breathing, aren’t I? My mother’s still teaching at the comprehensive school. Her portrait will go up, and the university will never know how it got there. That’s not cowardice. That’s self-respect.” For a long moment, Silas stared at her, the weight of his unspoken regrets in the tilt of his head. Outside, the neon sign sputtered, and for a heartbeat, the bar drowned in darkness save for the moonlight seeping through the dusty windowpanes. “Self-respect’s a funny thing,” he murmured. “It means everything until it means nothing. You remember when I had to shut down that operation in Prague? The one where I let the cipher talk himself into a trap to save the rest of the team? I told myself it was respect for the brother who didn’t make it home. Turns out it was just a way to stop looking at the bodies.” She watched a flicker of something—regret, perhaps—settle into the lines of his face. He raised his glass in a brittle toast. “To efficiency, then. To the people we don’t choose to remember.” Aurora didn’t drink. She only watched him, the sly, terrible understanding blooming between them like ivy through cracks. Time was a thief, yes, but it also left behind these quiet artifacts: the limp, the scar, the way they both had learned to live with the damage. “Write that on my tab,” she said suddenly, reaching for the bottle of Glencairn. “And it’s ‘To the Survivors’ Club.’”
created_at"2026-03-25T10:19:36.965Z" 3/25/2026, 10:19:36 AM
model"qwen/qwen3-32b-04-28"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency146
moderation_latency(null)
generation_time50400
tokens_prompt891
tokens_completion4708
native_tokens_prompt835
native_tokens_completion4113
native_tokens_completion_images(null)
native_tokens_reasoning2621
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.00121844
router(null)
provider_responses
0
endpoint_id"6b8c829d-3094-45e7-8139-0a67e09060c3"
id"cmpl-5296906d66d14be1a6ec229c45a2e5fe"
is_byokfalse
latency61
model_permaslug"qwen/qwen3-32b-04-28"
provider_name"DeepInfra"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1774433976-WlEvy7x6tK4IHqR7qi07"
upstream_id"cmpl-5296906d66d14be1a6ec229c45a2e5fe"
total_cost0.00121844
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
0.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags13
adverbTagCount4
adverbTags
0"he said softly [softly]"
1"she said finally [finally]"
2"he said quietly [quietly]"
3"she said suddenly [suddenly]"
dialogueSentences31
tagDensity0.419
leniency0.839
rawRatio0.308
effectiveRatio0.258
88.87% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1348
totalAiIsmAdverbs3
found
0
adverb"softly"
count1
1
adverb"really"
count1
2
adverb"suddenly"
count1
highlights
0"softly"
1"really"
2"suddenly"
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)
48.07% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1348
totalAiIsms14
found
0
word"silence"
count3
1
word"throbbed"
count2
2
word"flicker"
count2
3
word"weight"
count2
4
word"eyebrow"
count1
5
word"whisper"
count1
6
word"efficient"
count1
7
word"reminder"
count1
8
word"unspoken"
count1
highlights
0"silence"
1"throbbed"
2"flicker"
3"weight"
4"eyebrow"
5"whisper"
6"efficient"
7"reminder"
8"unspoken"
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
narrationSentences52
matches(empty)
32.97% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount2
narrationSentences52
filterMatches
0"feel"
1"think"
hedgeMatches
0"tried to"
1"started to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences70
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen65
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords1
totalWords1345
ratio0.001
matches
0"their"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions17
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions31
wordCount774
uniqueNames15
maxNameDensity0.9
worstName"Aurora"
maxWindowNameDensity1.5
worstWindowName"Aurora"
discoveredNames
Raven1
Nest3
Aurora7
Old1
Pulteney1
Evan2
Silas7
Agatha1
Christie1
Cardiff2
Hadrian1
Wall1
Underground1
Eva1
Glencairn1
persons
0"Raven"
1"Nest"
2"Aurora"
3"Evan"
4"Silas"
5"Agatha"
6"Christie"
7"Hadrian"
8"Eva"
places
0"Cardiff"
globalScore1
windowScore1
94.44% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences45
glossingSentenceCount1
matches
0"felt like another language now, one she"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1345
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences70
matches(empty)
98.39% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs27
mean49.81
std24.63
cv0.494
sampleLengths
0117
167
228
330
456
570
632
786
848
96
1041
1155
1248
1347
1428
1521
1680
1727
1876
1965
2028
2177
2243
2371
2432
2546
2620
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences52
matches(empty)
93.33% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs125
matches
0"was timing"
1"was carrying"
61.22% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences2
totalSentences70
ratio0.029
matches
0"Behind the bar, a stack of pint glasses glistened in the dim light, but her thoughts were elsewhere—on the delivery bike waiting outside, on the three lost packages she still hadn’t tracked, on the way her left wrist throbbed where a thin scar curled like a crescent moon under her sleeve."
1"She watched a flicker of something—regret, perhaps—settle into the lines of his face."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount781
adjectiveStacks0
stackExamples(empty)
adverbCount29
adverbRatio0.03713188220230474
lyAdverbCount12
lyAdverbRatio0.015364916773367477
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences70
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences70
mean19.21
std12.44
cv0.648
sampleLengths
010
125
215
316
451
514
626
727
816
912
1010
1120
1230
1326
1415
1530
1612
1713
1812
1920
2035
2113
2238
238
2419
2521
266
2727
2814
2911
3031
3113
3213
337
3428
358
3616
3723
3810
3918
409
4112
4210
4337
4433
4510
4617
4712
4810
4954
86.67% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.5285714285714286
totalSentences70
uniqueOpeners37
65.36% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences51
matches
0"Somewhere beneath the city’s exhale,"
ratio0.02
16.08% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount26
totalSentences51
matches
0"It was just after midnight,"
1"He paused in the doorway"
2"His signet ring caught the"
3"he said, his voice a"
4"He limped closer, the scent"
5"She glanced up, catching the"
6"It was the same look"
7"she said, nodding to the"
8"His fingers tapped the bar,"
9"Her mother had written to"
10"He raised an eyebrow, the"
11"she said, grinning despite herself"
12"he said softly"
13"She froze, her thumb hovering"
14"she said finally"
15"He studied her, the line"
16"She’d walked to Eva that"
17"she said, the words too"
18"he said quietly"
19"She hurled the damp cloth"
ratio0.51
9.02% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount46
totalSentences51
matches
0"The Raven’s Nest smelled faintly"
1"Aurora swiped a damp cloth"
2"The neon green sign outside"
3"It was just after midnight,"
4"Silas emerged from the back"
5"He paused in the doorway"
6"His signet ring caught the"
7"he said, his voice a"
8"Aurora snorted, wiping under the"
9"He limped closer, the scent"
10"She glanced up, catching the"
11"It was the same look"
12"Silas had said nothing, just"
13"she said, nodding to the"
14"Silas lowered himself onto a"
15"His fingers tapped the bar,"
16"The mention of her surname"
17"Her mother had written to"
18"Aurora had let the envelopes"
19"He raised an eyebrow, the"
ratio0.902
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences51
matches(empty)
ratio0
96.77% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences31
technicalSentenceCount2
matches
0"It was just after midnight, the kind of hour that made silence feel louder than music."
1"She’d walked to Eva that night with her blood on the tiles, but never once told Silas about the man who’d once used her thesis on ancient trade routes to plot t…"
48.08% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags13
uselessAdditionCount2
matches
0"he said, his voice a gravelly drawl"
1"she said, the words too sharp"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags9
fancyCount1
fancyTags
0"he murmured (murmur)"
dialogueSentences31
tagDensity0.29
leniency0.581
rawRatio0.111
effectiveRatio0.065
77.9758%