Run: 2026-09-03-01M1KRJY53QBB56K8GJF256T0Q

Run Details

Duration:
48.8s
Cost:
$0.004304
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 green neon above the door had been buzzing since she was nineteen, since the night Eva had dragged her out of the flat on Berwick Street with two suitcases and a promise that London would not ask questions. Now it buzzed the same off-key note, painting the wet pavement in sickly light. Aurora Carter ducked under it with a thermal bag still warm against her hip, the last delivery of the night for Golden Empress already signed off on her phone. Her shift left her smelling of soy sauce and rain. The Raven’s Nest smelled of it too, but undercut with old wood and whisky. The bell above the door gave a soft chime and the regulars looked up from the maps tacked to the walls, the black-and-white photographs of men with bad haircuts and worse smiles. She knew the place by the grain of its floorboards. She knew which stool wobbled. She lived above it. Silas Blackwood was behind the bar, polishing a glass with a cloth that had seen better decades. He looked up and his hazel eyes found her. She had expected him to pretend not to see her, as he usually did when she came down for a water or a late pint after a run. He didn’t. “Rory,” he said. It wasn’t a question. It was the name her friends used, the one she’d given up in Cardiff when she’d tried to be someone serious enough for Pre-Law. She felt the familiar click of a file closing in her chest. She set the bag down by her usual table near the window and came forward. The scar on her left wrist caught the light when she pushed her sleeve up to wipe her hands. A small crescent, pale against her skin. Childhood accident. She’d told him about it once, years ago, when she was twelve and he’d fixed her mother’s boiler and she’d followed him around the house with a chipped mug of tea. “You’re late,” he said, and then, softer, “You’re still wearing that coat.” The coat was black, too thin for November. She’d bought it in Cardiff and it hadn’t changed. Her hair was the same straight black, shoulder-length, falling into her eyes. She’d grown into her height but not much else. He was the one who had changed, or rather had become more himself. The grey in his auburn hair was more pronounced. His beard, neatly trimmed, matched it. The silver signet ring on his right hand caught the bar light as he set the glass down. She should have said hello. She said, “You’re still open late.” He limped slightly as he moved from behind the bar to the small table where he kept his own drink. The old knee injury from Prague, she remembered. He never talked about Prague. “Sit,” he said. She sat. The stool wobbled. “You haven’t come down in a while,” he said. He didn’t look at her directly. He looked at the way her fingers worried the edge of the bag strap. “I’ve been working,” she said. It was a reasonable answer. It was true. Delivery shifts from five to midnight, the flat above, the sound of the bar below her floorboards at night. She’d been busy. Silas poured two measures of whisky, neat. He set one in front of her without asking. She hadn’t been drinking in the bar in months. He remembered. “You look tired,” he said. She laughed, a short sound that surprised her. “You too.” He didn’t laugh back. He was fifty-eight, the age her father had been when Brendan Carter still stood in court and made arguments that sounded like poetry. Silas carried himself with that same quiet authority, the sort of man who had once been someone else entirely. A retired intelligence operative. A spymaster. The stories Eva had told her when they were sixteen and stealing library books. The stories Aurora had pretended not to believe. “I saw your mother last month,” he said. The air went thin. Jennifer Carter née Ellis, Welsh teacher, mother who baked when she was anxious. She hadn’t spoken to her in a year. “She was in town for a conference,” Silas continued. “She asked after you.” Aurora’s blue eyes, bright even in the dim light, didn’t blink. “Did she?” “She said you were in London. She said you were doing well.” Silas lifted his glass. The signet ring glinted. She wanted to tell him that she was not doing well. That she had fled Cardiff because Evan had been a good man until he wasn’t, because Pre-Law had felt like a costume she’d been handed and never fitted into, because she’d left with Eva and a duffel bag and a name she’d tried to shed. That she delivered food for Yu-Fei Cheung because it paid cash and no one asked questions about her degree. That she lived above a bar run by a man who used to fix her mother’s boiler and who now ran a network of contacts out of a hidden back room behind a bookshelf. She didn’t. “I should get home,” she said. He didn’t move. “You don’t have to.” There was a pause that had been building for years. When she was a child, Silas would come to their house on weekends with her father. He’d sit in the kitchen with Brendan and Jennifer, talking low while the radio murmured. She’d called him Mr. Blackwood and he’d called her Laila. She didn’t know why Laila. It was a name from a book she’d loved. He’d given it to her quietly, as if it were a secret. Later, when she was seventeen and angry at the world, he’d been the one who drove her to the station after a fight with her mother. He hadn’t said much. He’d just handed her a card and told her to call if she ever needed a place to sleep. She’d never called. She had never asked him why he remembered. “You were supposed to come to the university fair,” he said now. His voice was even. “I know.” “You were going to talk to the recruiter from MI6.” The memory landed hard. She’d been eighteen, bright, cool-headed, quick with out-of-the-box thinking. She’d been proud of it. She’d thought for a minute, after a talk Silas had given at Cardiff as a favor to her father, that she might want a different life than Pre-Law. She’d never told him she’d backed out. She’d backed out of everything that required her to be seen. “I wasn’t sure I wanted that life,” she said. He nodded as if he’d expected it. “None of us do until we’re in it.” She thought of his limp, the permanent knee injury from a botched operation in Prague. She thought of the quiet authority with which he ran the bar, how the regulars deferred to him without knowing why. How he kept a hidden room for clandestine meetings. How he had opened The Raven’s Nest in Soho as a front for a network he never disbanded. “You changed,” she said, because it was the only thing that felt true. He smiled, a small, tired thing. “So did you.” She wanted to ask him what he saw when he looked at her. The delivery girl. The woman who lived above his bar and never really lived. The girl with a crescent scar on her wrist. The woman who still wore the coat from Cardiff. He stood, slowly, favoring his left leg. “You’re Malphora to some people,” he said quietly. “Do you remember?” She did. It was an alias she’d used in a university game, a code name Silas had teased her with. She’d written it in the margins of her notes and then crossed it out. “I don’t use that name anymore,” she said. “I know.” He walked her to the door. The green neon hummed. Rain had started again. He didn’t offer an umbrella. He rested a hand lightly on the doorframe, the signet ring cold against the wood. “Your mother worries,” he said. “She always has.” “Let her worry about you in the right way,” he said. “You don’t have to be cool-headed all the time.” She looked up at him. He was taller than she remembered, six foot one, and older. She was twenty-five and felt older in places she couldn’t name. “I’m fine,” she said, the old reflex. He didn’t argue. He simply nodded, as he had when she was a child and he’d fixed the boiler and she’d burned her wrist on a kettle. He’d cleaned it without fuss. He’d told her scars fade. “Come down sometime when you’re not working,” he said. “We’ll have a drink that isn’t free.” She stepped out into the neon and the wet. The door shut behind her with a soft click. Above her, the flat waited with its thin walls and the sound of the bar below. She stood for a moment under the buzzing sign, her bag heavy on her shoulder, and felt the weight of all the years between the girl who had followed him around with a mug of tea and the woman who now delivered dinner to strangers and avoided the man who had known her when she was still Laila. She didn’t go home right away.
created_at"2026-09-03T13:50:57.708Z" 9/3/2026, 1:50:57 PM
model"meta/muse-glimmer-30b-20260810"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency169
moderation_latency(null)
generation_time48718
tokens_prompt846
tokens_completion3873
native_tokens_prompt832
native_tokens_completion3434
native_tokens_completion_images(null)
native_tokens_reasoning1651
native_tokens_cached256
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)
usage0.00430384
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788443457-HwbwApb2lJxCrVczjDR0"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788443457-Y4VVFjPONpZOZVY8xvIT"
upstream_id"chatcmpl-R4dTLIplxXoj9HTB1PXRAtjT"
provider_responses
0
endpoint_id"a9912acb-568e-4147-8ed3-5d20aea22135"
id"chatcmpl-R4dTLIplxXoj9HTB1PXRAtjT"
is_byokfalse
latency74
model_permaslug"meta/muse-glimmer-30b-20260810"
provider_name"DeepInfra"
status200
total_cost0.00430384
cache_discount0.00006656
upstream_inference_cost0
provider_name"DeepInfra"
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
totalTags19
adverbTagCount1
adverbTags
0"he said quietly [quietly]"
dialogueSentences33
tagDensity0.576
leniency1
rawRatio0.053
effectiveRatio0.053
87.12% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1553
totalAiIsmAdverbs4
found
0
adverb"slightly"
count1
1
adverb"really"
count1
2
adverb"slowly"
count1
3
adverb"lightly"
count1
highlights
0"slightly"
1"really"
2"slowly"
3"lightly"
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)
90.34% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1553
totalAiIsms3
found
0
word"familiar"
count1
1
word"clandestine"
count1
2
word"weight"
count1
highlights
0"familiar"
1"clandestine"
2"weight"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences136
matches
0"was anxious"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount2
narrationSentences136
filterMatches(empty)
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences150
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen58
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1553
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions34
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions54
wordCount1389
uniqueNames26
maxNameDensity0.58
worstName"Silas"
maxWindowNameDensity2
worstWindowName"Silas"
discoveredNames
Eva3
Berwick1
Street1
London1
Carter3
Golden1
Empress1
Raven2
Nest2
Blackwood2
Cardiff5
Pre-Law3
November1
Prague3
Brendan2
Aurora3
Ellis1
Welsh1
Evan1
Yu-Fei1
Cheung1
Silas8
Jennifer2
Mr1
Laila3
Soho1
persons
0"Eva"
1"Carter"
2"Empress"
3"Raven"
4"Nest"
5"Blackwood"
6"Brendan"
7"Aurora"
8"Ellis"
9"Evan"
10"Yu-Fei"
11"Cheung"
12"Silas"
13"Jennifer"
14"Mr"
15"Laila"
places
0"Berwick"
1"Street"
2"London"
3"Cardiff"
4"Prague"
5"Soho"
globalScore1
windowScore1
88.27% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences81
glossingSentenceCount2
matches
0"sounded like poetry"
1"felt like a costume she’d been handed a"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1553
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences150
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs55
mean28.24
std27.91
cv0.988
sampleLengths
092
165
256
33
440
574
612
784
811
933
103
115
1229
1335
1427
155
1610
1774
188
1925
2013
2113
2212
238
24109
252
266
277
2877
2952
308
3116
322
3310
3464
359
3615
3763
3813
399
4045
4118
4234
438
442
4534
465
473
4820
4927
97.52% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences136
matches
0"been when"
1"been handed"
2"been eighteen"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs245
matches
0"was not doing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences150
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1400
adjectiveStacks1
stackExamples
0"same straight black, shoulder-"
adverbCount41
adverbRatio0.029285714285714286
lyAdverbCount13
lyAdverbRatio0.009285714285714286
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences150
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences150
mean10.35
std8.67
cv0.837
sampleLengths
039
114
229
310
414
532
610
75
84
917
109
1128
122
133
144
1524
1612
1715
1819
197
202
2131
2212
238
249
2512
269
2713
289
296
3018
315
326
3320
348
355
363
372
383
399
406
4114
425
435
443
4519
463
477
489
499
28.67% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats32
diversityRatio0.22
totalSentences150
uniqueOpeners33
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences115
matches(empty)
ratio0
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount73
totalSentences115
matches
0"Her shift left her smelling"
1"She knew the place by"
2"She knew which stool wobbled."
3"She lived above it."
4"He looked up and his"
5"She had expected him to"
6"It wasn’t a question."
7"It was the name her"
8"She felt the familiar click"
9"She set the bag down"
10"She’d told him about it"
11"he said, and then, softer"
12"She’d bought it in Cardiff"
13"Her hair was the same"
14"She’d grown into her height"
15"He was the one who"
16"His beard, neatly trimmed, matched"
17"She should have said hello."
18"He limped slightly as he"
19"He never talked about Prague."
ratio0.635
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount108
totalSentences115
matches
0"The green neon above the"
1"Aurora Carter ducked under it"
2"Her shift left her smelling"
3"The Raven’s Nest smelled of"
4"The bell above the door"
5"She knew the place by"
6"She knew which stool wobbled."
7"She lived above it."
8"Silas Blackwood was behind the"
9"He looked up and his"
10"She had expected him to"
11"It wasn’t a question."
12"It was the name her"
13"She felt the familiar click"
14"She set the bag down"
15"The scar on her left"
16"A small crescent, pale against"
17"She’d told him about it"
18"he said, and then, softer"
19"The coat was black, too"
ratio0.939
43.48% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences115
matches
0"Now it buzzed the same"
ratio0.009
86.83% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences51
technicalSentenceCount4
matches
0"Silas Blackwood was behind the bar, polishing a glass with a cloth that had seen better decades."
1"Jennifer Carter née Ellis, Welsh teacher, mother who baked when she was anxious."
2"That she lived above a bar run by a man who used to fix her mother’s boiler and who now ran a network of contacts out of a hidden back room behind a bookshelf."
3"She stood for a moment under the buzzing sign, her bag heavy on her shoulder, and felt the weight of all the years between the girl who had followed him around …"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags19
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags19
fancyCount1
fancyTags
0"Silas continued (continue)"
dialogueSentences33
tagDensity0.576
leniency1
rawRatio0.053
effectiveRatio0.053
83.8746%