Run: 2026-02-17-01KHNFSFB768VSY1QN9HT37BYG

Run Details

Duration:
1m 3s
Cost:
$0.001305
Provider:
SiliconFlow

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 insect above the door, casting a sickly, familiar glow on the wet pavement of Soho. Inside The Raven’s Nest, the air was thick with the smell of old wood, spilled whiskey, and the faint, ever-present scent of Silas’s polish. Rory wiped a strand of damp, black hair from her forehead, the cool of the evening still clinging to her delivery jacket. She’d just dropped off the last order for Yu-Fei, a complicated spread of dumplings and tea-smoked duck to a nervous-looking man in a Mayfair townhouse, and her feet ached. The bar was her sanctuary, the flat above it her refuge. It was Tuesday, quiet, just a few regulars hunched over their drinks in the dim, map-lined gloom. Silas was at the far end, polishing a glass with a methodical, military precision. He glanced up as she entered, his hazel eyes missing nothing. He gave a slight, almost imperceptible nod towards his usual table—a silent offer of a post-shift drink. She shook her head, a small smile touching her lips. Not tonight. She just wanted the anonymity of a corner, the weight off her feet, a single gin and tonic to blur the sharp edges of the day. She shrugged off her jacket, the small crescent scar on her left wrist catching the low light as she draped it over the back of a stool at an empty table near the bookshelf that wasn’t really a bookshelf. She’d just taken her first sip, the cold juniper bite a relief, when the door opened again, bringing with it a gust of damp, city-smelling air and a man. He was tall, wearing a expensive but slightly rumpled charcoal coat, his fair hair thinning at the temples. He scanned the room with an academic’s mild confusion, his eyes passing over her, then snapping back. They widened. A slow, disbelieving smile spread across his face, a smile she remembered from library study sessions and terrible student parties, a smile that belonged to a different lifetime. “Aurora Carter?” The voice was deeper, but the cadence was the same. Oliver. Oliver Finch. They’d been in the same Pre-Law cohort at Cardiff. He’d been the one who could quote obscure legal precedents but couldn’t work the library printer, who’d had a hopeless, gentle crush on her that she’d been too busy, too focused, too entangled with Evan to properly notice or kindly discourage. For a second, the cool-headed persona she’d cultivated, the one Silas had helped temper into something like steel, threatened to crack. She felt a lurch, a dizzying sense of temporal whiplash. Here was Cardiff. Here was the lecture hall, the smell of cheap coffee and highlighter pens, the weight of her father’s expectations. Here, standing in Silas’s bar of shadows and secrets, was a ghost of the girl she’d been before London, before the flat above the bar, before the delivery bike and the hidden room behind the bookcase. “Oliver,” she said, and was surprised at how level her voice sounded. “God. Hi.” He was already crossing the room, his hand outstretched before he seemed to think better of it and switched to an awkward half-wave. “I don’t believe it. What are you doing in London? Last I heard you were… well, no one really heard.” He pulled out the chair opposite without asking, his movements still that same blend of eagerness and clumsiness. “I live here,” she said simply, taking another sip of her drink. She could feel Silas’s attention from the bar, a quiet, observational pressure. “You live here? In this bar?” “Above it.” She gestured vaguely towards the ceiling. Oliver’s gaze swept over her, taking in the practical jeans, the simple t-shirt, the lack of makeup, the tired but sharp look in her bright blue eyes. It was different from the assessing, possessive looks Evan used to give her. This was pure, unadulterated confusion. “You look… different,” he finally said, then flushed. “I mean, good! You look good. Just… it’s been years.” “Five,” Rory said. “Almost six.” The last time she’d seen him was at a graduation party she’d left early because Evan had texted, his messages sharp with impatience. “So you never… you didn’t finish your articles? Your dad, Brendan, he was always so proud, talking you up to anyone who’d listen.” Oliver flagged down Silas, who approached with his slight, deliberate limp. “Uh, a pint of whatever’s good, please.” Silas’s gaze flickered to Rory, a silent question. She gave a tiny, almost invisible shake of her head. *He’s harmless.* Silas retreated. The mention of her father was a small, precise needle to the heart. “Plans change,” she said, her tone leaving no room for further inquiry. Oliver seemed not to notice. He was launched now, back in that safe past. “Do you remember Professor Callahan’s torts class? That terrible moot court where I mixed up *res ipsa loquitur* with *ratio decidendi*? You saved me, whispered the right term from the second row.” He laughed, a bright, unguarded sound that seemed alien in the Nest’s hushed atmosphere. “You were always the sharpest of us. I thought for sure you’d be a barrister by now, taking on the Crown Court.” Rory traced the rim of her glass. The cool-headed, out-of-the-box thinker she was known for now was calculating the emotional distance between this memory and her reality. The gap felt like a chasm. “I deliver food for a Chinese restaurant,” she said, watching his face. He blinked. The smile didn’t vanish, but it froze, then reconfigured itself into an expression of polite, bewildered concern. “Oh. Right. A… a gap year sort of thing? Saving up for more school?” “It’s a job. It pays the rent.” She heard the defensiveness in her own voice and hated it. This was why she’d cut ties. This exact look. The uncomprehending pity. His pint arrived. He took a long drink, buying time. “And Evan? Are you two…?” “No.” The word was final, a door slammed shut. The silence that followed was heavy with everything she didn’t say. The fear, the strategic retreat, the midnight flight to London on Eva’s insistence, the months looking over her shoulder. Oliver studied her face, and for the first time, she saw the ghost of the intelligent, observant man he might have become beneath the awkward boy he’d been. He saw the wariness in her eyes, the way she held herself, coiled and ready even in repose. He saw the absence of the ambitious, slightly brittle law student he’d known. “You’re different, Aurora,” he said again, softly this time. Not an accusation, not even confusion. A statement. “It’s Rory,” she corrected. “Most people call me Rory now.” “Rory.” He tested the name. It sounded like a stranger’s name on his lips. “It suits you better, I think. Less… gilt-edged.” She almost smiled at that. “Less expected.” He nodded, looking down into his pint. “I qualified last year. Family law. It’s… it’s good. Hard, but good. I’m in town for a conference.” He was offering his life up, a tidy parcel of achieved expectations, hoping to trade it for hers. But hers wasn’t a parcel; it was a locked box, and she’d thrown away the key. “Congratulations,” she said, and meant it. The Oliver she remembered deserved that. The Rory she was now knew she could never have it, and, in her darkest, most honest moments, was glad of it. The law, to her, was no longer an abstract system of justice; it was the thing Evan had threatened to use against her, the structure her father had seen as the only valid path. It was a cage she’d escaped. “It’s not too late, you know,” he said, leaning forward, his voice earnest. “You could pick it up again. You were brilliant. With your mind… you could do anything.” The weight of time settled between them, not as nostalgia, but as a ledger of diverging costs. His was the weight of casebooks and long hours, of a life unfolding on a predictable, respectable graph. Hers was the weight of a packed bag by the door, of learning to read the micro-expressions on a stranger’s face in a Mayfair hallway, of the silent, understanding nod from a retired spymaster. His regret was for a potential unfulfilled. Hers was for a self she’d had to dismantle to survive. “I *am* doing something,” she said, and her voice had a new firmness. She wasn’t the girl from Cardiff anymore. She was the woman who lived above Silas Blackwood’s bar. “It just doesn’t look like what you thought it would.” Oliver sat back, defeated not by her anger, but by her certainty. He finished his pint. “I’m glad I ran into you, Aurora. Rory. Truly. It’s good to see you… well.” She knew he didn’t think she was well. He thought she was lost. That was the unspoken regret that filled the space between them: his regret for the path she’d lost, and her regret for the fact that he could never understand the value of the ground she now stood on, even if it was in a dimly lit bar, scarred and serving others. “It was good to see you too, Oliver,” she said, and for a moment, she almost meant it. He left money on the table for his drink, gave her one last, complicated look—a farewell to the person he remembered—and walked back out into the London night. The green neon buzzed as the door closed behind him. Silas appeared a moment later, clearing the empty pint glass. He didn’t speak. He just paused, his silver signet ring glinting dully as he placed a fresh gin and tonic in front of her, on the house. His hazel eyes met hers, and in them was no pity, no confusion. Only recognition. He saw the cost, and he saw the strength it had purchased. He gave her a slight nod, then turned and limped back to his station, leaving her alone with the ghost of who she’d been, which finally, in the quiet of The Raven’s Nest, felt like it was laid to rest.
created_at"2026-02-17T09:45:38.698315+00:00" 2/17/2026, 9:45:38 AM
model"deepseek/deepseek-v3.2-20251201"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4171
moderation_latency(null)
generation_time63064
tokens_prompt867
tokens_completion2933
native_tokens_prompt816
native_tokens_completion2583
native_tokens_completion_images(null)
native_tokens_reasoning286
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"
usage0.00130518
router(null)
provider_responses
0
status429
is_byokfalse
latency103
endpoint_id"f270e10b-1d21-4345-9e4e-662ddb5ba441"
provider_name"DeepInfra"
model_permaslug"deepseek/deepseek-v3.2-20251201"
1
status429
is_byokfalse
latency208
endpoint_id"4e9fb7e9-3967-4cd4-9723-df614f9f228e"
provider_name"Phala"
model_permaslug"deepseek/deepseek-v3.2-20251201"
2
id"019c6afcbf849d9554ceaf5a604c89a9"
status200
is_byokfalse
latency4171
endpoint_id"b39a588a-b338-43ba-b046-226b9e24afa8"
provider_name"SiliconFlow"
model_permaslug"deepseek/deepseek-v3.2-20251201"
api_type"completions"
id"gen-1771321474-YHZXnZg0tcOyo2NVBIID"
upstream_id"019c6afcbf849d9554ceaf5a604c89a9"
total_cost0.00130518
cache_discount(null)
upstream_inference_cost0
provider_name"SiliconFlow"

Evaluation details

Result Evaluator Details Meta Data
59.09% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags22
adverbTagCount4
adverbTags
0"she said simply [simply]"
1"She gestured vaguely [vaguely]"
2"he finally said [finally]"
3"he said again [again]"
dialogueSentences35
tagDensity0.629
leniency1
rawRatio0.182
effectiveRatio0.182
82.37% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1702
totalAiIsmAdverbs6
found
0
adverb"really"
count2
1
adverb"slightly"
count2
2
adverb"softly"
count1
3
adverb"truly"
count1
highlights
0"really"
1"slightly"
2"softly"
3"truly"
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)
35.37% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1702
totalAiIsms22
found
0
word"familiar"
count1
1
word"sanctuary"
count1
2
word"gloom"
count1
3
word"methodical"
count1
4
word"weight"
count5
5
word"scanned"
count1
6
word"lurch"
count1
7
word"sense of"
count1
8
word"could feel"
count1
9
word"flickered"
count1
10
word"traced"
count1
11
word"calculating"
count1
12
word"silence"
count1
13
word"structure"
count1
14
word"predictable"
count1
15
word"potential"
count1
16
word"unspoken"
count1
17
word"glinting"
count1
highlights
0"familiar"
1"sanctuary"
2"gloom"
3"methodical"
4"weight"
5"scanned"
6"lurch"
7"sense of"
8"could feel"
9"flickered"
10"traced"
11"calculating"
12"silence"
13"structure"
14"predictable"
15"potential"
16"unspoken"
17"glinting"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"air was thick with"
count1
highlights
0"the air was thick with"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences106
matches
0"was surprised"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences106
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences119
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen51
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans4
markdownWords8
totalWords1688
ratio0.005
matches
0"He’s harmless."
1"res ipsa loquitur"
2"ratio decidendi"
3"am"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions19
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions47
wordCount1416
uniqueNames16
maxNameDensity0.71
worstName"Silas"
maxWindowNameDensity2
worstWindowName"Silas"
discoveredNames
Soho1
Raven2
Nest3
Silas10
Yu-Fei1
Mayfair2
Tuesday1
Finch1
Pre-Law1
Cardiff3
Evan4
London3
Oliver8
Rory5
Eva1
Blackwood1
persons
0"Raven"
1"Nest"
2"Silas"
3"Finch"
4"Evan"
5"Oliver"
6"Rory"
7"Eva"
8"Blackwood"
places
0"Soho"
1"Mayfair"
2"Cardiff"
3"London"
globalScore1
windowScore1
28.05% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences82
glossingSentenceCount4
matches
0"something like steel, threatened to crack"
1"felt like a chasm"
2"sounded like a stranger’s name on his lips"
3"felt like it was laid to rest"
81.52% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches2
per1kWords1.185
wordCount1688
matches
0"not as nostalgia, but as a ledger of diverging costs"
1"not by her anger, but by her certainty"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences119
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs37
mean45.62
std31.8
cv0.697
sampleLengths
0126
1119
229
365
42
563
689
714
861
924
106
118
1263
1328
1463
1525
1682
1745
1833
1930
2015
2139
2259
2317
2410
2522
267
2759
2874
2929
3087
3140
3231
3364
3418
3538
36104
92.02% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences106
matches
0"was surprised"
1"was launched"
2"was known"
3"was laid"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs232
matches
0"was calculating"
1"was offering"
46.82% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount2
flaggedSentences4
totalSentences119
ratio0.034
matches
0"He gave a slight, almost imperceptible nod towards his usual table—a silent offer of a post-shift drink."
1"But hers wasn’t a parcel; it was a locked box, and she’d thrown away the key."
2"The law, to her, was no longer an abstract system of justice; it was the thing Evan had threatened to use against her, the structure her father had seen as the only valid path."
3"He left money on the table for his drink, gave her one last, complicated look—a farewell to the person he remembered—and walked back out into the London night."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1430
adjectiveStacks1
stackExamples
0"dim, map-lined gloom."
adverbCount51
adverbRatio0.03566433566433566
lyAdverbCount16
lyAdverbRatio0.011188811188811189
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences119
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences119
mean14.18
std10.72
cv0.756
sampleLengths
023
124
222
329
411
517
614
711
817
910
102
1126
1239
1329
1418
1517
162
1728
182
1910
201
212
229
2341
2421
2510
263
2719
2836
2912
302
3123
3238
3312
3412
356
368
3727
3813
395
408
4110
423
4325
4434
4515
4610
474
4813
4912
34.45% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats19
diversityRatio0.3025210084033613
totalSentences119
uniqueOpeners36
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences97
matches(empty)
ratio0
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount58
totalSentences97
matches
0"She’d just dropped off the"
1"It was Tuesday, quiet, just"
2"He glanced up as she"
3"He gave a slight, almost"
4"She shook her head, a"
5"She just wanted the anonymity"
6"She shrugged off her jacket,"
7"She’d just taken her first"
8"He was tall, wearing a"
9"He scanned the room with"
10"They’d been in the same"
11"He’d been the one who"
12"She felt a lurch, a"
13"she said, and was surprised"
14"He was already crossing the"
15"He pulled out the chair"
16"she said simply, taking another"
17"She could feel Silas’s attention"
18"She gestured vaguely towards the"
19"It was different from the"
ratio0.598
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount93
totalSentences97
matches
0"The green neon sign buzzed"
1"Rory wiped a strand of"
2"She’d just dropped off the"
3"The bar was her sanctuary,"
4"It was Tuesday, quiet, just"
5"Silas was at the far"
6"He glanced up as she"
7"He gave a slight, almost"
8"She shook her head, a"
9"She just wanted the anonymity"
10"She shrugged off her jacket,"
11"She’d just taken her first"
12"He was tall, wearing a"
13"He scanned the room with"
14"A slow, disbelieving smile spread"
15"The voice was deeper, but"
16"They’d been in the same"
17"He’d been the one who"
18"She felt a lurch, a"
19"Here was Cardiff."
ratio0.959
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences97
matches(empty)
ratio0
75.47% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences53
technicalSentenceCount5
matches
0"She shrugged off her jacket, the small crescent scar on her left wrist catching the low light as she draped it over the back of a stool at an empty table near t…"
1"He scanned the room with an academic’s mild confusion, his eyes passing over her, then snapping back."
2"A slow, disbelieving smile spread across his face, a smile she remembered from library study sessions and terrible student parties, a smile that belonged to a d…"
3"He’d been the one who could quote obscure legal precedents but couldn’t work the library printer, who’d had a hopeless, gentle crush on her that she’d been too …"
4"She was the woman who lived above Silas Blackwood’s bar."
56.82% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags22
uselessAdditionCount3
matches
0"He pulled out, his movements still that same blend of eagerness and clumsiness"
1"The last time she’d, his messages sharp with impatience"
2"she said, her tone leaving no room for further inquiry"
64.29% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags14
fancyCount3
fancyTags
0"He pulled out (pull out)"
1"He laughed (laugh)"
2"she corrected (correct)"
dialogueSentences35
tagDensity0.4
leniency0.8
rawRatio0.214
effectiveRatio0.171
71.6757%