Run: 2026-02-17-01KHMR6DJ4JCBX4639FB18GJVP

Run Details

Model:
GPT-4.1
Duration:
48.2s
Cost:
$0.016778
Provider:
OpenAI

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 flickered in the gathering dusk, humming its silent promise above a narrow doorway wedged between a shuttered bookshop and a tattoo parlour. Friday evening crowds drifted past with umbrellas high and collars up, but inside The Raven's Nest, the world shrank to a golden glow: whisky, wood polish, and the low murmur of old secrets. Aurora Carter eased through the door and shook the drizzle from her shoulders. Her black hair, only half-tamed by the march of rain, gleamed against the collar of her battered denim jacket. Bright blue eyes, alert and unsentimental, swept the room. The bar hummed with its usual mix: tired office drinkers, a couple whispering over a teapot of gin, stray souls in soft corners nursing pints. No Eva tonight. No delivery orders either—she was off duty, for once. She wove toward the counter, boots muffled by the oil-dark boards, and gave a curt nod to Silas. He held court as always, looming behind the bar with his grey-streaked auburn hair and watchful hazel eyes. His limp was subtle, just a softness to his left side as he reached for a glass to polish. “Evening, Aurora.” His tone was as warm as his whisky, but his stance—spine straight, signet ring catching the light—remained the old interrogator’s, precise and reserved. “Evening, Si.” She perched on the end stool, tracing the rim of a coaster with her thumb. “Any news?” He set a tumbler beside her, half-filled with something amber and smoky. “News gets bleaker every day, but nothing you need to fret about tonight.” She smirked; he never brought her problems unless she explicitly asked. That was the pact. Routine—always a shield. Then the door banged open behind her, hard enough to rattle the maps on the wall. A gust of cold air followed someone inside—a man, not terribly tall, but with a restlessness to his movements that made him occupy more space than he should. His suit, rumpled and out-of-date, hung looser than it once might have done. His hair, which she remembered as ginger and reckless, had thinned and silvered. He scanned the bar with a quick, raw hunger, like a fox testing the boundary of a new garden. She turned before she could stop herself. Memory stabbed white hot—Cardiff in summer, lager on park benches, plans and pranks and all the easy laughter of a different life. He didn’t see her at first. Ordered something sharp from Silas, scanned the shelves. His hand shook a little as he brought the glass to his lips. When she spoke—soft, not quite believing—she heard the girl she used to be slip through the cracks in her voice. “Jamie?” He looked up, startled. His mouth opened, closed, then twisted into a lopsided smile. “Bloody hell. Rory Carter. Or are you Aurora now?” She hesitated, long enough for the surname to clang between them. “Rory works.” He came closer, pulled the next stool out with an awkward, scraping drag. Up close his eyes were shadowed, deep-set and rimmed with red. He wore tiredness like a second skin. “Well. Fancy meeting you here.” He toyed with his glass, then caught her gaze and tried to hold it, but she felt the old dance—who would flinch, who would wade into memory first. “I could say the same. I haven’t seen you since—God. The graduation party?” He winced. “Bet the neighbours in Cathays still hate us for that.” His laugh, when it came, was thin and dry. “It’s been… ages. You look…” He trailed off. There was a time he’d have said beautiful, or at least interesting. Now he seemed uncertain what word she’d let him still have. “Like I pay by the cut for my hair,” she offered. “You’re… different too, Jamie.” He lifted a eyebrow. “Polite way to say I’ve gone to seed.” She shrugged. “We all have.” They sat in it—the humming neon, the press of the years—while Silas watched from his perch above them, silent and unyielding. Jamie drank. Aurora watched. “What brings you to London?” she asked finally, breaking the spell. “Ah.” His mouth twisted. “Job. Sort of. Was meant to be a sure thing, but… these days nothing sticks. Mate of mine said Soho had a vacancy. Ended up fixing computers above a betting shop. It’s grim.” He glanced at her, tentative. “You?” She shrugged, all surface cool. “Delivery girl. Golden Empress. That’s my world.” Jamie looked stung—was that regret flickering in his eyes, or relief? He set his glass down with unsteady precision. “Didn’t think you’d still be here. In this sort of place, I mean.” Funny. He’d always thought she’d fly higher, blow past all of them on some grand academic wind. But here she was, feet on stained floorboards, as ordinary as tea and toast. “I like the hours.” She tried on a smile. It fit better than she expected. “And the owner’s ex-MI6, so—bit of excitement.” His gaze darted to Silas, who now pretended to be engrossed in a bottle’s label. “No kidding. Works out, then?” “As much as anything does.” She glanced at his hands. The knuckles were red, nails uneven. He’d always bitten them, but this looked worse. She wondered what else he picked at, these days. He drummed a ragged rhythm. “You hear from the old crew? Eva? Tom, even?” “Eva, now and then. She’s in Brixton—got a kid, did you know?” Her tone softened. “Tom’s in Bristol. Maths teacher.” Jamie grinned, briefly, his former self peering out. “Bet his students hate him.” “She says he still brings his guitar to class.” For a moment, it almost felt easy again. Jamie sipped his drink, but the smile was gone. “We had some plans, didn’t we, Rory?” There it was. The old wound, split open between them—every hope sketched on notebook margins, every vow that “we’ll get out, we’ll make it,” every ragged scheme to rule the adult world together. None of it survived contact with rent and jobs and the slow erosion of belief. She nodded, not trusting herself to say more. “Funny.” He stared into his glass. “Used to think if we all just left home, we’d win. Turns out all I did was lose touch.” His knuckles brushed the bar, then stopped dead at the faded scar on her wrist. “You ever regret it? Leaving?” She flexed her hand, feeling the crescent burn, a memory beneath memory. “No. Not in the ways that matter.” A silence bred between them, heavy, but Aurora didn’t flinch. Jamie was the one who blushed now, dry and vulnerable, older than he should be. He cleared his throat. “I heard something about Evan… you’re all right?” She almost laughed—of all things, Evan was the last ghost she’d expected him to name. “I’m fine. He’s gone. That’s all.” Jamie seemed to want to say more, but the words twisted inside him, unfinished. “Do you regret any of it?” she asked abruptly. “Cardiff. Us.” He turned the question over in his mouth like a stone, working the answers loose. “Maybe I regret not trying harder. Or leaving when I did. I don’t regret being your friend. Even if I didn’t say it at the time.” Aurora glanced at Silas—pretending to fiddle with inventory, but she knew he was listening—and for a moment, she let her guard slip. “I was scared, Jamie. Back then. Of everything. Of what I’d do if I stopped running.” She closed her hand around her glass, grounding herself. “Sometimes I still am.” He nodded, eyes raw with the cost of honesty. “Maybe that’s what growing up is. Being scared, but still going.” He finished his drink. Set the glass down with finality. “I should go. Early start tomorrow.” She stood too, surprised at the pang in her chest. “You’ll come by again?” He hesitated, then his smile returned—rueful, but real this time. “You know where to find me.” As he limped out into the London night, she watched the neon play across the rain-streaked glass. Another conversation, always unfinished. Behind her, Silas drew nearer, wordless, and poured her another drink. Aurora took it in both hands this time, letting the warmth bite deep. The years never went anywhere, she thought. They only gathered in the corners, waiting to be named.
created_at"2026-02-17T02:53:01.452579+00:00" 2/17/2026, 2:53:01 AM
model"openai/gpt-4.1-2025-04-14"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency349
moderation_latency(null)
generation_time48047
tokens_prompt867
tokens_completion2172
native_tokens_prompt809
native_tokens_completion1895
native_tokens_completion_images0
native_tokens_reasoning0
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"completed"
usage0.016778
router(null)
provider_responses
0
id"resp_07906d26d770770e016993d7dcd654819681e8eef42a0c654b"
status200
is_byokfalse
latency142
endpoint_id"c235abe8-11cc-42d3-95ad-72f4d198287a"
provider_name"OpenAI"
model_permaslug"openai/gpt-4.1-2025-04-14"
api_type"completions"
id"gen-1771296732-b2qWf7C1psXh7T9PsOf4"
upstream_id"resp_07906d26d770770e016993d7dcd654819681e8eef42a0c654b"
total_cost0.016778
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags17
adverbTagCount2
adverbTags
0"she asked finally [finally]"
1"she asked abruptly [abruptly]"
dialogueSentences47
tagDensity0.362
leniency0.723
rawRatio0.118
effectiveRatio0.085
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1394
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
64.13% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1394
totalAiIsms10
found
0
word"flickered"
count1
1
word"looming"
count1
2
word"tracing"
count1
3
word"scanned"
count2
4
word"dance"
count1
5
word"eyebrow"
count1
6
word"silence"
count1
7
word"pang"
count1
8
word"warmth"
count1
highlights
0"flickered"
1"looming"
2"tracing"
3"scanned"
4"dance"
5"eyebrow"
6"silence"
7"pang"
8"warmth"
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
narrationSentences94
matches(empty)
97.26% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount3
narrationSentences94
filterMatches(empty)
hedgeMatches
0"tried to"
1"tended to"
2"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences123
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen38
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1374
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions24
wordCount1025
uniqueNames10
maxNameDensity0.59
worstName"Silas"
maxWindowNameDensity2
worstWindowName"Jamie"
discoveredNames
Raven1
Nest1
Carter1
Eva1
Silas6
Cardiff1
Jamie6
Aurora5
Evan1
London1
persons
0"Carter"
1"Eva"
2"Silas"
3"Jamie"
4"Aurora"
5"Evan"
places
0"Raven"
1"Cardiff"
2"London"
globalScore1
windowScore1
77.54% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences69
glossingSentenceCount2
matches
0"not quite believing—she heard the girl she used to be slip through the cracks in her voice"
1"seemed uncertain what word she’d let him still have"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.728
wordCount1374
matches
0"not terribly tall, but with a restlessness to his movements"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences123
matches
0"was that regret"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs53
mean25.92
std16.98
cv0.655
sampleLengths
059
178
255
325
419
525
618
789
829
947
101
1123
1213
1331
1433
1513
1629
1723
1815
1912
205
2125
2211
2343
2412
2532
2631
2722
2820
2933
3014
3120
3213
3317
3416
3548
368
3745
3819
3925
4012
4121
4214
4311
4441
4522
4629
4720
4816
4914
97.80% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences94
matches
0"were shadowed"
1"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs188
matches
0"was listening"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount17
semicolonCount1
flaggedSentences14
totalSentences123
ratio0.114
matches
0"No delivery orders either—she was off duty, for once."
1"“Evening, Aurora.” His tone was as warm as his whisky, but his stance—spine straight, signet ring catching the light—remained the old interrogator’s, precise and reserved."
2"She smirked; he never brought her problems unless she explicitly asked."
3"Routine—always a shield."
4"A gust of cold air followed someone inside—a man, not terribly tall, but with a restlessness to his movements that made him occupy more space than he should."
5"Memory stabbed white hot—Cardiff in summer, lager on park benches, plans and pranks and all the easy laughter of a different life."
6"When she spoke—soft, not quite believing—she heard the girl she used to be slip through the cracks in her voice."
7"“Well. Fancy meeting you here.” He toyed with his glass, then caught her gaze and tried to hold it, but she felt the old dance—who would flinch, who would wade into memory first."
8"They sat in it—the humming neon, the press of the years—while Silas watched from his perch above them, silent and unyielding."
9"Jamie looked stung—was that regret flickering in his eyes, or relief?"
10"The old wound, split open between them—every hope sketched on notebook margins, every vow that “we’ll get out, we’ll make it,” every ragged scheme to rule the adult world together."
11"She almost laughed—of all things, Evan was the last ghost she’d expected him to name."
12"Aurora glanced at Silas—pretending to fiddle with inventory, but she knew he was listening—and for a moment, she let her guard slip."
13"He hesitated, then his smile returned—rueful, but real this time."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1048
adjectiveStacks0
stackExamples(empty)
adverbCount36
adverbRatio0.03435114503816794
lyAdverbCount8
lyAdverbRatio0.007633587786259542
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences123
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences123
mean11.17
std7.68
cv0.687
sampleLengths
026
133
213
319
49
525
63
79
818
918
1019
1125
1217
132
1412
1513
1611
174
183
1916
2028
2113
2213
2319
247
2522
266
278
2813
2920
301
314
3210
339
3411
352
3613
3711
387
3933
4013
412
4219
438
4412
4511
4611
474
484
498
70.73% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.43902439024390244
totalSentences123
uniqueOpeners54
75.76% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences88
matches
0"Bright blue eyes, alert and"
1"Then the door banged open"
ratio0.023
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount52
totalSentences88
matches
0"Her black hair, only half-tamed"
1"She wove toward the counter,"
2"He held court as always,"
3"His limp was subtle, just"
4"His tone was as warm"
5"She perched on the end"
6"He set a tumbler beside"
7"She smirked; he never brought"
8"His suit, rumpled and out-of-date,"
9"His hair, which she remembered"
10"He scanned the bar with"
11"She turned before she could"
12"He didn’t see her at"
13"His hand shook a little"
14"He looked up, startled."
15"His mouth opened, closed, then"
16"She hesitated, long enough for"
17"He came closer, pulled the"
18"He wore tiredness like a"
19"He toyed with his glass,"
ratio0.591
50.91% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount72
totalSentences88
matches
0"The green neon sign flickered"
1"Friday evening crowds drifted past"
2"Aurora Carter eased through the"
3"Her black hair, only half-tamed"
4"The bar hummed with its"
5"She wove toward the counter,"
6"He held court as always,"
7"His limp was subtle, just"
8"His tone was as warm"
9"She perched on the end"
10"He set a tumbler beside"
11"She smirked; he never brought"
12"That was the pact."
13"A gust of cold air"
14"His suit, rumpled and out-of-date,"
15"His hair, which she remembered"
16"He scanned the bar with"
17"She turned before she could"
18"Memory stabbed white hot—Cardiff in"
19"He didn’t see her at"
ratio0.818
56.82% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences88
matches
0"Now he seemed uncertain what"
ratio0.011
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences44
technicalSentenceCount1
matches
0"A gust of cold air followed someone inside—a man, not terribly tall, but with a restlessness to his movements that made him occupy more space than he should."
95.59% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags17
uselessAdditionCount1
matches
0"He glanced, tentative"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences47
tagDensity0.043
leniency0.085
rawRatio0
effectiveRatio0
86.2178%