Run: 2026-02-19-01KHTYK99J7NK3Q9XF34XN39BS

Run Details

Duration:
1m 10s
Cost:
$0.001578
Provider:
DeepInfra

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 Raven’s Nest hummed with the low murmur of late-night patrons, the green neon sign casting an eerie glow through the foggy London street. Aurora Carter wiped the sweat from her brow as she leaned against the bar, her delivery bag slung over one shoulder. The air smelled of whisky and damp wood, the kind of smell that clung to your clothes long after you’d left. Silas Blackwood polished a glass behind the counter, his movements deliberate and slow. His hazel eyes flicked to her, a silent acknowledgment. Aurora nodded back, shifting her weight from one foot to the other. Her eyes scanned the room, taking in the familiar faces—tourists, locals, and the occasional shadowy figure who lingered too long in the corners. Then she froze. At a table near the back, partially obscured by the dim light and a curtain of smoke, sat a man she hadn’t seen in years. His hair was shorter now, darker than she remembered, and there was a hardness in his jaw that hadn’t been there before. But it was him. Evan. Her stomach twisted. She hadn’t thought of him in months, hadn’t let herself. But there he was, sitting in Silas’ bar like he belonged there. Like he hadn’t shattered her world the last time they’d spoken. Evan looked up, his eyes meeting hers across the room. For a moment, neither of them moved. Then he raised his glass, a faint smile tugging at the corner of his lips. Aurora clenched her fists, her nails digging into her palms. She turned to Silas, her voice low. “Did you know he’d be here?” Silas didn’t look up from the glass he was polishing. “Didn’t know, didn’t ask. He’s just another customer.” “Bullshit.” Silas sighed, finally setting the glass down. “Rory, it’s been years. Maybe it’s time you—” “Don’t,” she snapped, cutting him off. She grabbed her bag and started for the door, but Evan was already on his feet, weaving through the tables toward her. “Rory,” he called, his voice cutting through the noise of the bar. She stopped, her hand gripping the door handle. “It’s been a long time.” She turned, her bright blue eyes narrowing. “Not long enough.” Evan winced, but he didn’t back down. “Can we talk? Just for a minute.” Aurora glanced around the room, her jaw tight. Every instinct told her to leave, to walk out the door and never look back. But something in his voice—something she couldn’t quite name—made her hesitate. “Fine,” she bit out. “One minute.” He gestured toward the table he’d been sitting at, and she followed reluctantly, her bag still slung over her shoulder. The table was small, their knees almost touching as they sat. Evan leaned back in his chair, his eyes scanning her face like he was trying to memorize it. “You look good,” he said finally. Aurora snorted. “Cut the crap, Evan. What do you want?” He sighed, running a hand through his hair. “I just… I wanted to see you. To say I’m sorry.” Her chest tightened, but she kept her expression neutral. “You’re sorry? That’s it?” “It’s not that simple.” “It never is with you.” Evan looked down at the table, his fingers tracing the grain of the wood. “I’ve changed, Rory. I’m not the same person I was back then.” She leaned forward, her voice low and sharp. “You think that makes it better? You think saying you’ve changed erases everything you did?” He met her gaze, his eyes dark and intense. “No. I don’t expect you to forgive me. I just wanted you to know that I’m trying. I’ve been sober for two years. I’ve got a job, a place to live. I’m… trying.” Aurora clenched her fists under the table, the small crescent-shaped scar on her left wrist burning like a brand. “Good for you,” she said coldly. “But that doesn’t change what happened.” “I know,” he said quietly. “But I’ve thought about you every day since I left. I thought maybe… maybe I could make things right.” She laughed bitterly. “Make things right? You can’t just waltz back into my life and pretend everything’s okay.” “I’m not pretending,” he said, his voice firm. “I know I messed up. I know I hurt you. But I’m here now, and I’m willing to do whatever it takes to fix what I broke.” Aurora stared at him, her heart pounding in her chest. She wanted to scream, to lash out and tell him he could never fix what he’d done. But the look in his eyes—the raw, desperate hope—stopped her. “You can’t fix it,” she said finally, her voice breaking. “You can’t just undo the past.” Evan reached across the table, his hand hovering over hers. “Maybe not,” he said softly. “But we can move forward. Together.” She pulled her hand back, shaking her head. “I can’t, Evan. I’m not ready for that.” He nodded, his shoulders slumping. “I understand. But if you ever change your mind… I’ll be here.” Aurora stood, her chair scraping against the floor. “Don’t wait for me,” she said, her voice cold. She turned and walked out the door, the cold night air hitting her like a slap. She leaned against the brick wall, her breath coming in short gasps. The weight of his words, of everything they’d left unspoken, pressed down on her chest. Inside the bar, Evan stared at the empty seat across from him, his fist clenched on the table. His jaw tightened, but he didn’t follow her. Instead, he picked up his glass and drained it in one swallow, the taste bitter on his tongue. Silas watched from behind the bar, his hazel eyes narrowed. He didn’t say a word, but his grip tightened on the glass he was holding. The tension in the room was palpable, the unspoken history between the two hanging heavy in the air. Outside, Aurora walked down the foggy street, her shoulders stiff and her heart aching. The neon sign of The Raven’s Nest faded into the distance, a green haze swallowed by the night. She didn’t look back.
created_at"2026-02-19T12:39:32.41Z" 2/19/2026, 12:39:32 PM
model"deepseek/deepseek-chat-v3"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency340
moderation_latency(null)
generation_time70119
tokens_prompt1094
tokens_completion1583
native_tokens_prompt991
native_tokens_completion1417
native_tokens_completion_images(null)
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"stop"
usage0.00157825
router(null)
provider_responses
0
endpoint_id"5294d55f-9012-496b-8f22-8cc919432dcd"
id"chatcmpl-RRO6FEfPl1K5VyUcrjlDtpeV"
is_byokfalse
latency72
model_permaslug"deepseek/deepseek-chat-v3"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771504772-jHvwI9QvOekpZPOstGJE"
upstream_id"chatcmpl-RRO6FEfPl1K5VyUcrjlDtpeV"
total_cost0.00157825
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
0.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags10
adverbTagCount5
adverbTags
0"he said finally [finally]"
1"she said coldly [coldly]"
2"he said quietly [quietly]"
3"she said finally [finally]"
4"he said softly [softly]"
dialogueSentences34
tagDensity0.294
leniency0.588
rawRatio0.5
effectiveRatio0.294
85.32% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1022
totalAiIsmAdverbs3
found
0
adverb"reluctantly"
count1
1
adverb"coldly"
count1
2
adverb"softly"
count1
highlights
0"reluctantly"
1"coldly"
2"softly"
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)
31.51% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1022
totalAiIsms14
found
0
word"flicked"
count1
1
word"weight"
count2
2
word"scanned"
count1
3
word"familiar"
count1
4
word"stomach"
count1
5
word"shattered"
count1
6
word"scanning"
count1
7
word"tracing"
count1
8
word"pounding"
count1
9
word"unspoken"
count2
10
word"tension"
count1
11
word"palpable"
count1
highlights
0"flicked"
1"weight"
2"scanned"
3"familiar"
4"stomach"
5"shattered"
6"scanning"
7"tracing"
8"pounding"
9"unspoken"
10"tension"
11"palpable"
0.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches5
maxInWindow5
found
0
label"eyes widened/narrowed"
count1
1
label"clenched jaw/fists"
count2
2
label"jaw/fists clenched"
count1
3
label"weight of words/silence"
count1
highlights
0"eyes narrowed"
1"clenched her fists"
2"fist clenched"
3"The weight of his words"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences70
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences70
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences94
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen34
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1015
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions17
unquotedAttributions0
matches(empty)
90.32% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions30
wordCount754
uniqueNames9
maxNameDensity1.19
worstName"Aurora"
maxWindowNameDensity2
worstWindowName"Evan"
discoveredNames
Raven2
Nest2
London1
Carter1
Blackwood1
Like1
Silas5
Evan8
Aurora9
persons
0"Raven"
1"Nest"
2"Carter"
3"Blackwood"
4"Silas"
5"Evan"
6"Aurora"
places
0"London"
1"Like"
globalScore0.903
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences54
glossingSentenceCount1
matches
0"quite name—made her hesitate"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1015
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences94
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs39
mean26.03
std17.2
cv0.661
sampleLengths
066
157
23
352
436
549
66
718
81
915
1028
1125
1210
1314
1434
156
1649
176
1810
1919
2013
214
225
2326
2423
2542
2631
2724
2818
2935
3037
3116
3221
3316
3417
3560
3644
3743
3836
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences70
matches(empty)
6.76% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs138
matches
0"was, sitting"
1"was polishing"
2"was trying"
3"was holding"
51.67% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences3
totalSentences94
ratio0.032
matches
0"Her eyes scanned the room, taking in the familiar faces—tourists, locals, and the occasional shadowy figure who lingered too long in the corners."
1"But something in his voice—something she couldn’t quite name—made her hesitate."
2"But the look in his eyes—the raw, desperate hope—stopped her."
99.10% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount390
adjectiveStacks0
stackExamples(empty)
adverbCount16
adverbRatio0.041025641025641026
lyAdverbCount1
lyAdverbRatio0.002564102564102564
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences94
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences94
mean10.8
std6.34
cv0.587
sampleLengths
024
121
221
313
49
512
623
73
825
922
104
111
123
1310
1412
1511
1610
177
1815
1910
207
216
2210
238
241
257
268
276
2822
2912
308
315
327
333
347
357
368
3715
3811
394
402
4120
4211
4318
446
452
468
478
4811
499
56.03% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.3617021276595745
totalSentences94
uniqueOpeners34
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences68
matches
0"Then she froze."
1"Then he raised his glass,"
2"Instead, he picked up his"
ratio0.044
25.88% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount33
totalSentences68
matches
0"His hazel eyes flicked to"
1"Her eyes scanned the room,"
2"His hair was shorter now,"
3"Her stomach twisted."
4"She hadn’t thought of him"
5"She turned to Silas, her"
6"she snapped, cutting him off"
7"She grabbed her bag and"
8"he called, his voice cutting"
9"She stopped, her hand gripping"
10"She turned, her bright blue"
11"she bit out"
12"He gestured toward the table"
13"he said finally"
14"He sighed, running a hand"
15"Her chest tightened, but she"
16"She leaned forward, her voice"
17"He met her gaze, his"
18"she said coldly"
19"he said quietly"
ratio0.485
48.24% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount56
totalSentences68
matches
0"The Raven’s Nest hummed with"
1"Aurora Carter wiped the sweat"
2"The air smelled of whisky"
3"Silas Blackwood polished a glass"
4"His hazel eyes flicked to"
5"Aurora nodded back, shifting her"
6"Her eyes scanned the room,"
7"His hair was shorter now,"
8"Her stomach twisted."
9"She hadn’t thought of him"
10"Evan looked up, his eyes"
11"Aurora clenched her fists, her"
12"She turned to Silas, her"
13"Silas didn’t look up from"
14"Silas sighed, finally setting the"
15"she snapped, cutting him off"
16"She grabbed her bag and"
17"he called, his voice cutting"
18"She stopped, her hand gripping"
19"She turned, her bright blue"
ratio0.824
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences68
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences36
technicalSentenceCount2
matches
0"Her eyes scanned the room, taking in the familiar faces—tourists, locals, and the occasional shadowy figure who lingered too long in the corners."
1"Evan leaned back in his chair, his eyes scanning her face like he was trying to memorize it."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags10
uselessAdditionCount4
matches
0"he called, his voice cutting through the noise of the bar"
1"he said, his voice firm"
2"she said finally, her voice breaking"
3"she said, her voice cold"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags9
fancyCount1
fancyTags
0"she snapped (snap)"
dialogueSentences34
tagDensity0.265
leniency0.529
rawRatio0.111
effectiveRatio0.059
73.1611%