Run: 2026-02-17-01KHMQSWWFKPGWWQH0RKGRPDK4

Run Details

Model:
GPT-4.1
Duration:
24.8s
Cost:
$0.018058
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 Raven’s Nest pulled at darkness like a loyal old coat, the kind that fit too snug in the shoulders but you kept reaching for anyway. Bright motes of green neon buzzed at the windows, washing the rain-streaked glass in a sickly light, but inside, the only glow came from shaded lamps and half-spent candles perched among ancient whiskey bottles behind the bar. Maps curling at their edges plastered the walls—a war room for those with tired souls—and scuffed black-and-white photographs stared out at the dusk trade with glassy-eyed patience. Aurora Carter stepped in, her stride sure, straight black hair tucked behind one ear, rainwater beading on her parka’s shoulders. The easy chatter of the Saturday crowd dipped for a heartbeat, then rolled back, people dismissing her as just another guest ducking in from Soho drizzle. She scanned the room, finding her place—just as she’d found it every evening since moving upstairs a year ago. The scar on her left wrist itched with memory, though she'd learned to keep her hands steady when nerves threatened. She moved, light on her feet, to the rickety end of the bar. Behind it, Silas Blackwood presided like the last captain of a doomed ship—pausing to measure a shot of cheap bourbon for a regular, then sliding the glass with idle grace. He slouched, but with a hint of ceremony, beneath the maps and shadows. A trick knee kept his gait short, which didn't much matter here, where everything important traveled by voice. The silver signet ring on his right hand glinted as he wiped a glass, watching the door. Always watching. “Evening, Carter.” His voice, low and velvet-edged, cut through the hum. She gave him a quick smile. “Evening, Silas. Busy for a Wednesday.” “It’s Saturday, actually.” He smirked, but his eyes sharpened, gauging her. That’s why you were supposed to sleep last night. “Long week at Yu-Fei’s.” She meant to ask for her usual—a half pint with the cheap cheese straws he brought out for staff—but a strange current slid in behind her. Something nervous rose in her chest, whispering of years-long absences and things left unfinished. She turned, meaning only to find a quieter corner. That’s when she saw him. At first, the man at the corner table looked like one of the regular lone drinkers—coat collar up, hunched over a whisky glass, a neat beard trimmed close. His silhouette was broader than memory, posture more armored, but the eyes—when they flicked up and found hers—were unmistakable. It was Thomas O’Malley, looking thirteen years older and as wary as a stray dog in a thunderstorm. She froze. Thomas, who had once belonged to summer bonfires on the beach outside Cardiff, whose jokes had carried her through university exam hell, whose letters she’d tucked away when London made her too lonely to sleep. Lean Thomas, who used to laugh so hard at his own puns he’d snort water up his nose; Thomas, who had not written—not once—in almost a decade. His face, once boyish, now wore the habits of caution. His hair had receded at the corners. He gestured with the whisky, uncertain, an invitation or a warning. She crossed the floor because curiosity was always stronger than self-preservation. “Tom,” she said, just above the level of the music. He blinked once, twice, before speaking. “Rory.” The smallest hitch. “Well. I’ll be damned.” “I’ll sit, if it’s not—?” Her hand hovered. He nodded, eyes following the streak of her hair. Only when she’d slid onto the opposite bench did he let his shoulders drop, just a fraction. Her own heart had settled into a slow, careful rhythm. She was in no hurry; she wanted every detail. “You found the Nest,” she said, too lightly. “Odd place for an O’Malley, isn’t it?” He glanced around the dim bar as if seeing it for the first time. “Business trip,” he lied, or she assumed he lied. “Some offshore outfit wanted my numbers. Met the client near Oxford Circus, and—” His hand twitched. “—this caught my eye. Never thought I’d walk into a place from your letters.” The bar's ice machine rattled and someone cackled at the darts board. Out of the edge of her eye, Aurora saw Silas slip through the staff door, the limp more pronounced when he thought no one watched. “You look well,” Thomas offered, but there was an effort in it. She studied him. He’d filled out, but not in the way of people who learned to cook for themselves; more like someone who spent too many hours at a desk, measured out in account ledgers and cold takeaways. The skin around his eyes held the pallor of late nights. The right sleeve was pushed up, showing a faded tattoo she didn’t remember getting a letter about. “You too,” she lied back, softer. A wave of silence pushed between them, surfacing all the years lost. She could almost count them by the calendar on the wall—May 2014, January 2016, never June, because no one called in June. Thomas shifted. “Never figured you for London,” he said, rolling the lip of his glass. “You hated big cities. Remember that flat you swore was haunted at uni?” His smile flickered, not quite reaching his eyes. She traced a droplet of condensation along her glass. “Plenty of things to hate everywhere. Got tired of running from shadows that weren’t really ghosts.” She blinked. “Eva helped me out. Found a job, a place.” He nodded, but too fast—so he’d heard, secondhand perhaps, or surmised. “Eva always had the answers.” He sipped, hesitating. “Is she…?” “Married. Leamington Spa. Three kids, if you can believe it.” She let herself enjoy the shock cross his face. “No,” he said, softly awed. “Hard to picture.” “She sent a Christmas card,” Aurora said. “With glitter. Should’ve known motherhood would be contagious.” He laughed, the old way, voice catching. But the silence behind it quickly fell back in again, and she wondered if he wanted to bridge that, or simply mend fences long enough to walk away clean. She watched him carefully. “How’ve you really been, Tom?” He set the glass down, turning it so the logo—some Irish distillery—faced away. “I manage risk for money now,” he said, voice low. “Risk and return, all numbers. Two years ago, I bought a house in Newport. Big brick thing. I rattle around in it like a pebble in a shoe.” His fingers absently rubbed at the base of his ring finger, unadorned. “Got a promotion last autumn. Went home to celebrate. Dad couldn’t drink—doctors say the stent won’t hold.” His gaze drifted to the pressed tin ceiling. “Time goes fast, then too slow.” She nodded, letting the words rest in the silt of regret. “I work deliveries for Yu-Fei. Above this bar. Not glamorous, but honest. Keeps me fed.” “I’d have thought, you know—law.” He hesitated. “You were always the clever one, Rory. I still get cross when anyone says you weren’t.” She studied his face. He hadn’t shaved this morning; he’d left a shadow there, and the way he folded his hands said he still bit his nails under the desk. “It stopped fitting. Law was Dad’s life, not mine.” His gaze softened, a memory passing between them: her at sixteen, reciting arguments in the park, him flinging pebbles at the ducks. “You still let nothing slip past,” he murmured. “That hasn’t changed.” But she had changed, hadn’t she? Cardiff Rory had trusted easily, worn her heart inside out. London Aurora watched the exits. She filled silences now instead of chasing them away. She caught herself wanting to apologize for it—for the silence, the different cities, the years neither had filled with letters. Instead, she watched the condensation bead into a small puddle at the bottom of her glass. “I missed you,” Thomas said, abrupt, voice ragged as a torn envelope. “I’m not saying it right. Things got—messy. You know how it goes.” She remembered, vividly, Evan’s ringed hand around her wrist, the sharp hurt as glass shattered, the suffocating smallness of her own breath. She remembered Eva’s offer: London. A fresh start. She’d run without looking back—hadn’t even texted Thomas. “I know,” she said. A long exhale. “I’m sorry too. For leaving the way I did.” His mouth pulled into a wry curve. “We all were running from something, weren’t we?” Someone at the far table started up a raucous football chant. Inside the brittle break in the noise, they held eye contact, unsteady but honest. She finally breathed out, the tension settling in her shoulders. “You could write, you know. Now, I mean.” His brow creased, as though he’d forgotten how. “Would you answer?” A small smile, this one real. “Ask me in June.” He looked down, then up, and for a moment, the weight of years melted away—two old friends, both changed in ways the other could never quite name, but still caught in the gravity of shared memory. Whatever would be said tomorrow, this had been enough: acknowledgment, and the possibility—fragile, luminous—of a letter yet to come.
created_at"2026-02-17T02:45:48.358571+00:00" 2/17/2026, 2:45:48 AM
model"openai/gpt-4.1-2025-04-14"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency380
moderation_latency(null)
generation_time24722
tokens_prompt867
tokens_completion2396
native_tokens_prompt809
native_tokens_completion2055
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"
usage0.018058
router(null)
provider_responses
0
id"resp_04ad4981273d44b3016993d64286408196a00ae93128a0e7d3"
status200
is_byokfalse
latency117
endpoint_id"c235abe8-11cc-42d3-95ad-72f4d198287a"
provider_name"OpenAI"
model_permaslug"openai/gpt-4.1-2025-04-14"
api_type"completions"
id"gen-1771296322-UWU26lrkWpLqtZBBDk82"
upstream_id"resp_04ad4981273d44b3016993d64286408196a00ae93128a0e7d3"
total_cost0.018058
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
totalTags23
adverbTagCount1
adverbTags
0"she lied back [back]"
dialogueSentences45
tagDensity0.511
leniency1
rawRatio0.043
effectiveRatio0.043
80.43% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1533
totalAiIsmAdverbs6
found
0
adverb"lightly"
count1
1
adverb"really"
count2
2
adverb"softly"
count1
3
adverb"quickly"
count1
4
adverb"carefully"
count1
highlights
0"lightly"
1"really"
2"softly"
3"quickly"
4"carefully"
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)
60.86% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1533
totalAiIsms12
found
0
word"scanned"
count1
1
word"velvet"
count1
2
word"flicked"
count1
3
word"measured"
count1
4
word"silence"
count3
5
word"flickered"
count1
6
word"traced"
count1
7
word"shattered"
count1
8
word"tension"
count1
9
word"weight"
count1
highlights
0"scanned"
1"velvet"
2"flicked"
3"measured"
4"silence"
5"flickered"
6"traced"
7"shattered"
8"tension"
9"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
emotionTells0
narrationSentences97
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences97
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences118
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen40
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1510
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions22
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions33
wordCount1197
uniqueNames18
maxNameDensity0.67
worstName"Thomas"
maxWindowNameDensity2
worstWindowName"Thomas"
discoveredNames
Raven1
Nest1
Carter1
Saturday1
Soho1
Silas2
Blackwood1
Thomas8
Cardiff2
London3
Aurora4
May1
January1
June2
Irish1
Rory1
Evan1
Eva1
persons
0"Raven"
1"Nest"
2"Carter"
3"Silas"
4"Blackwood"
5"Thomas"
6"Aurora"
7"Rory"
8"Evan"
9"Eva"
places
0"Soho"
1"Cardiff"
2"London"
3"June"
globalScore1
windowScore1
47.26% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences73
glossingSentenceCount3
matches
0"looked like one of the regular lone drink"
1"as if seeing it for the first time"
2"not quite reaching his eyes"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.662
wordCount1510
matches
0"Not glamorous, but honest"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences118
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs47
mean32.13
std24.33
cv0.757
sampleLengths
090
198
280
311
412
511
613
749
852
918
1064
1128
1211
1310
1414
158
1645
1715
1853
1937
2012
2166
226
2334
2436
2536
2621
2719
288
2915
3036
319
3294
3326
3423
3539
3633
3766
3824
3938
4016
4115
4225
4318
4411
4510
4655
98.03% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences97
matches
0"were supposed"
1"was pushed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs216
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount20
semicolonCount4
flaggedSentences17
totalSentences118
ratio0.144
matches
0"Maps curling at their edges plastered the walls—a war room for those with tired souls—and scuffed black-and-white photographs stared out at the dusk trade with glassy-eyed patience."
1"She scanned the room, finding her place—just as she’d found it every evening since moving upstairs a year ago."
2"Behind it, Silas Blackwood presided like the last captain of a doomed ship—pausing to measure a shot of cheap bourbon for a regular, then sliding the glass with idle grace."
3"She meant to ask for her usual—a half pint with the cheap cheese straws he brought out for staff—but a strange current slid in behind her."
4"At first, the man at the corner table looked like one of the regular lone drinkers—coat collar up, hunched over a whisky glass, a neat beard trimmed close."
5"His silhouette was broader than memory, posture more armored, but the eyes—when they flicked up and found hers—were unmistakable."
6"Lean Thomas, who used to laugh so hard at his own puns he’d snort water up his nose; Thomas, who had not written—not once—in almost a decade."
7"She was in no hurry; she wanted every detail."
8"He’d filled out, but not in the way of people who learned to cook for themselves; more like someone who spent too many hours at a desk, measured out in account ledgers and cold takeaways."
9"She could almost count them by the calendar on the wall—May 2014, January 2016, never June, because no one called in June."
10"He nodded, but too fast—so he’d heard, secondhand perhaps, or surmised."
11"He set the glass down, turning it so the logo—some Irish distillery—faced away."
12"He hadn’t shaved this morning; he’d left a shadow there, and the way he folded his hands said he still bit his nails under the desk."
13"She caught herself wanting to apologize for it—for the silence, the different cities, the years neither had filled with letters."
14"She’d run without looking back—hadn’t even texted Thomas."
15"He looked down, then up, and for a moment, the weight of years melted away—two old friends, both changed in ways the other could never quite name, but still caught in the gravity of shared memory."
16"Whatever would be said tomorrow, this had been enough: acknowledgment, and the possibility—fragile, luminous—of a letter yet to come."
87.57% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1225
adjectiveStacks1
stackExamples
0"sure, straight black hair"
adverbCount58
adverbRatio0.0473469387755102
lyAdverbCount14
lyAdverbRatio0.011428571428571429
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences118
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences118
mean12.8
std8.58
cv0.67
sampleLengths
026
137
227
320
426
519
620
713
830
913
1018
1117
122
1311
146
156
1611
179
184
1926
2014
219
225
2328
2419
2518
262
2735
2827
2910
307
3111
3211
3310
346
354
364
378
389
3917
4010
419
428
437
4414
459
4616
4714
4812
4925
68.36% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.4406779661016949
totalSentences118
uniqueOpeners52
74.91% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences89
matches
0"Only when she’d slid onto"
1"Instead, she watched the condensation"
ratio0.022
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount54
totalSentences89
matches
0"She scanned the room, finding"
1"She moved, light on her"
2"He slouched, but with a"
3"His voice, low and velvet-edged,"
4"She gave him a quick"
5"He smirked, but his eyes"
6"She meant to ask for"
7"She turned, meaning only to"
8"His silhouette was broader than"
9"It was Thomas O’Malley, looking"
10"His face, once boyish, now"
11"His hair had receded at"
12"He gestured with the whisky,"
13"She crossed the floor because"
14"she said, just above the"
15"He blinked once, twice, before"
16"Her hand hovered"
17"He nodded, eyes following the"
18"Her own heart had settled"
19"She was in no hurry;"
ratio0.607
16.18% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount79
totalSentences89
matches
0"The Raven’s Nest pulled at"
1"Maps curling at their edges"
2"Aurora Carter stepped in, her"
3"The easy chatter of the"
4"She scanned the room, finding"
5"The scar on her left"
6"She moved, light on her"
7"He slouched, but with a"
8"A trick knee kept his"
9"The silver signet ring on"
10"His voice, low and velvet-edged,"
11"She gave him a quick"
12"He smirked, but his eyes"
13"That’s why you were supposed"
14"She meant to ask for"
15"Something nervous rose in her"
16"She turned, meaning only to"
17"That’s when she saw him."
18"His silhouette was broader than"
19"It was Thomas O’Malley, looking"
ratio0.888
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences89
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences47
technicalSentenceCount1
matches
0"He’d filled out, but not in the way of people who learned to cook for themselves; more like someone who spent too many hours at a desk, measured out in account …"
38.04% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags23
uselessAdditionCount4
matches
0"He smirked, but his eyes sharpened, gauging her"
1"she lied back, softer"
2"His smile flickered, not quite reaching his eyes"
3"he said, voice low"
83.33% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags11
fancyCount3
fancyTags
0"he lied (lie)"
1"she lied back (lie)"
2"he murmured (murmur)"
dialogueSentences45
tagDensity0.244
leniency0.489
rawRatio0.273
effectiveRatio0.133
78.4992%