Run: 2026-02-19-01KHTQVVMKBF19TN5GA1M7XGVW

Run Details

Duration:
10.3s
Cost:
$0.000607
Provider:
OpenAI

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <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> Continue the story using the following instructions: <instructions> 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. </instructions>

Model response

AI
The dim haze of cigarette smoke hung thick in the air, mingling with the faint scent of spilled whiskey. The Raven’s Nest was quiet tonight, shadows stretching along the battered brick walls, maps, and photographs whispering tales of past exploits. A low hum of subdued conversations draped over the room’s thick silence, broken only by the clink of glassware and the faint squeak of a barstool shifting. Aurora Carter sat alone at the bar, her elbows resting on the scratched mahogany. She sipped her gin, the cool rush a distraction from the night’s quiet chaos. Her black hair caught the flickering neon glow, shadows dancing across her sharp features, bright blue eyes fixed on the flickering reflection in the glass. The scar on her wrist—it was a ghost today, numbed by routine. She didn’t look like someone who’d been through hell, or someone with secrets weighing her down. But beneath that calm exterior, she carried the kind of burden that made her quick to scan every corner, every shadow. The door swung open, and a gust of cold London air spilled into the room. The sign above the entrance flickered, casting an irregular green glow. No one paid it much mind. Then he stepped in. Silas Blackwood. He was older, his face lined and shadows around his eyes. A scar on the side of his jaw and the same grey streaks in his hair that had always marked him. He moved with a quiet authority, each step deliberate yet unhurried, until his hazel eyes caught hers. Aurora froze. It was like time had looped back—he’d been a mentor, a guide through shadowed worlds. Now, he looked like a stranger worn thin by years. He approached with a slow, measured gait, the faintest smile tugging at the corner of his mouth. He pulled out a stool, hesitating for a fraction of a second before sinking onto it. His gaze flicked over her face, then down to her hands. They stared at each other for a long beat before Aurora’s voice broke the silence. “You’ve changed a lot.” His lips quirked, a trace of that quiet humor still there. “Same can be said for you.” He paused. “London does things to people.” She lifted her glass, took a measured sip, then set it down carefully. “I don’t come here often anymore.” Her voice was steady, but her eyes flickered with suspicion, like she was still processing the years that had passed. He rubbed his beard, eyes drifting over the room. “It’s been a while. You look well. You look… different.” “I’ve had some time to think,” she said softly. Her fingers tapped the bar’s edge, a nervous tic she couldn’t quite shake. “Come here to forget a little. Forget the past, maybe.” “And that works?” She shot him a wry glance. “Not always. Sometimes it makes it worse.” Silas nodded, eyes shadowed with memories. “I’ve seen that look before. It’s the one that reminds you of what you’ve lost—what’s been taken or left behind.” His gaze sharpened. “You sure you want to talk about it?” Aurora hesitated, then leaned in. “There’s not much left to say. I left Cardiff chasing something I thought I wanted. Ended up here, running in circles. So yeah, I come in here, drown the noise.” He was silent for a moment, then lifted his ringed hand, showing her the silver signet. A subtle barrier, but somehow familiar now. “I know how that feels. Sometimes I think I’ve been running in circles since I retired. Still trying to make sense of what I left behind.” She looked away, a flicker of something darker crossing her face. “You always did know how to make the world sound simple, Silas.” “You’ve got your guard up. That’s good.” His voice was low, gravelly. “But down deep, you’re still the girl I knew—sharp, quick, ready to jump into the fire. Still carrying that scar?” She touched her wrist absently. “Reminds me I survived. Hard to forget when every day is a new challenge.” Her eyes softened. “Do you ever miss it? The thrill, the danger?” He chuckled softly. “Sometimes I miss the feeling of purpose. But not the cost. That’s what I carry now. The weight of it’s a heavier load than I ever expected.” A bartender approached, sliding two glasses across the bar, but neither reached for them immediately. Aurora watched Silas with a faint smile. “Guess we both paid for our choices somehow.” He leaned back, gaze drifting over the old photographs on the wall—images of a different life, a different moments. “Time’s pulled a lot out of us. Some of it I’d rather forget, some of it I wish I could hold on to.” Her lips pressed into a thin line. “I don’t think I know who I am anymore. Not the way I used to.” Silas hesitated, then tapped the side of his glass. “Sometimes, all that matters is what you decide to become now. Not what’s been lost.” She looked down at her fingers, tracing a pattern on the worn wood. “Maybe. Or maybe it’s just the same story, different chapter.” He sighed, adjusting his collar. “Look, I know I shouldn’t keep you here, not after all these years. But if you ever want to talk or just forget everything for a while… you know where I am.” Aurora finished her drink, pushing it aside with a gentle clink. “Thanks, Silas. I’ll keep that in mind.” He nodded, rising slowly, limping slightly as he moved away. “Be safe, Rory. London’s a different beast now.” She watched him go, the weight of unspoken regrets settling like dust in her chest. The shadows danced a little more freely in the quiet corners of the bar, and she wondered how many more years it would take before she could breathe without looking over her shoulder.
created_at"2026-02-19T10:41:53.311Z" 2/19/2026, 10:41:53 AM
model"openai/gpt-4.1-nano-2025-04-14"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency263
moderation_latency(null)
generation_time10160
tokens_prompt1094
tokens_completion1495
native_tokens_prompt983
native_tokens_completion1271
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"
usage0.0006067
router(null)
provider_responses
0
endpoint_id"9251cee5-5503-4be9-9439-7ae21ff062a3"
id"resp_0acd5ec49eb9be16016996e8f1607c8197ae900f681a093b0e"
is_byokfalse
latency109
model_permaslug"openai/gpt-4.1-nano-2025-04-14"
provider_name"OpenAI"
status200
api_type"completions"
id"gen-1771497713-CJ3Nsq221cZapjWItmDW"
upstream_id"resp_0acd5ec49eb9be16016996e8f1607c8197ae900f681a093b0e"
total_cost0.0006067
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
totalTags5
adverbTagCount1
adverbTags
0"she said softly [softly]"
dialogueSentences27
tagDensity0.185
leniency0.37
rawRatio0.2
effectiveRatio0.074
74.49% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount980
totalAiIsmAdverbs5
found
0
adverb"carefully"
count1
1
adverb"softly"
count2
2
adverb"slowly"
count1
3
adverb"slightly"
count1
highlights
0"carefully"
1"softly"
2"slowly"
3"slightly"
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)
23.47% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount980
totalAiIsms15
found
0
word"silence"
count2
1
word"dancing"
count1
2
word"flickered"
count2
3
word"measured"
count2
4
word"flicked"
count1
5
word"familiar"
count1
6
word"sense of"
count1
7
word"flicker"
count1
8
word"weight"
count2
9
word"tracing"
count1
10
word"unspoken"
count1
highlights
0"silence"
1"dancing"
2"flickered"
3"measured"
4"flicked"
5"familiar"
6"sense of"
7"flicker"
8"weight"
9"tracing"
10"unspoken"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"hung in the air"
count1
highlights
0"hung thick in the air"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences53
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences53
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences74
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen33
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords975
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions15
wordCount627
uniqueNames7
maxNameDensity0.96
worstName"Aurora"
maxWindowNameDensity1.5
worstWindowName"Aurora"
discoveredNames
Raven1
Nest1
Carter1
London1
Blackwood1
Aurora6
Silas4
persons
0"Raven"
1"Carter"
2"Blackwood"
3"Aurora"
4"Silas"
places
0"London"
globalScore1
windowScore1
28.05% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences41
glossingSentenceCount2
matches
0"looked like a stranger worn thin by years"
1"quite shake"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount975
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences74
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs33
mean29.55
std15.91
cv0.539
sampleLengths
067
165
237
336
42
549
62
742
827
915
104
1124
1239
1319
1432
153
1613
1737
1835
1949
2023
2132
2231
2330
2430
2542
2622
2724
2823
2937
3018
3118
3248
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences53
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs107
matches(empty)
27.03% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences3
totalSentences74
ratio0.041
matches
0"The scar on her wrist—it was a ghost today, numbed by routine."
1"It was like time had looped back—he’d been a mentor, a guide through shadowed worlds."
2"He leaned back, gaze drifting over the old photographs on the wall—images of a different life, a different moments."
90.56% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount630
adjectiveStacks0
stackExamples(empty)
adverbCount32
adverbRatio0.050793650793650794
lyAdverbCount10
lyAdverbRatio0.015873015873015872
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences74
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences74
mean13.18
std7.32
cv0.555
sampleLengths
019
121
227
314
414
525
612
716
821
915
1011
116
124
132
1411
1521
1617
172
1815
1910
2017
2116
2211
2315
244
2511
268
275
2813
2926
309
3110
329
3313
3410
353
366
377
386
3923
408
415
4230
4316
447
4526
4611
4712
4812
4920
64.41% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.4189189189189189
totalSentences74
uniqueOpeners31
66.67% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences50
matches
0"Then he stepped in."
ratio0.02
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount30
totalSentences50
matches
0"She sipped her gin, the"
1"Her black hair caught the"
2"She didn’t look like someone"
3"He was older, his face"
4"He moved with a quiet"
5"It was like time had"
6"He approached with a slow,"
7"He pulled out a stool,"
8"His gaze flicked over her"
9"They stared at each other"
10"His lips quirked, a trace"
11"She lifted her glass, took"
12"Her voice was steady, but"
13"He rubbed his beard, eyes"
14"she said softly"
15"Her fingers tapped the bar’s"
16"She shot him a wry"
17"His gaze sharpened"
18"He was silent for a"
19"She looked away, a flicker"
ratio0.6
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount46
totalSentences50
matches
0"The dim haze of cigarette"
1"The Raven’s Nest was quiet"
2"A low hum of subdued"
3"Aurora Carter sat alone at"
4"She sipped her gin, the"
5"Her black hair caught the"
6"The scar on her wrist—it"
7"She didn’t look like someone"
8"The door swung open, and"
9"The sign above the entrance"
10"He was older, his face"
11"A scar on the side"
12"He moved with a quiet"
13"It was like time had"
14"He approached with a slow,"
15"He pulled out a stool,"
16"His gaze flicked over her"
17"They stared at each other"
18"His lips quirked, a trace"
19"She lifted her glass, took"
ratio0.92
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences50
matches
0"Now, he looked like a"
ratio0.02
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences32
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences27
tagDensity0.037
leniency0.074
rawRatio0
effectiveRatio0
82.4891%