Run: 2026-02-19-01KHTXW1YH6RMCSD87GWDJ0WHP

Run Details

Duration:
58.6s
Cost:
$0.001594
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 green neon sign buzzed softly, casting its faint glow over the damp pavement. Rory pushed open the heavy oak door of The Raven’s Nest, the familiar scent of whiskey and polished wood enveloping her. The bar was quiet tonight, just a few regulars scattered across the worn leather booths. Silas stood behind the counter, polishing glasses with a cloth that had seen better days. He glanced up, nodded, and returned to his task without a word. She slid onto a stool at the far end of the bar, away from the others. The dim light caught the edge of her crescent-shaped scar as she traced a finger along the rim of her glass. Silas poured her a whiskey without asking. She raised it to her lips, the burn grounding her. The door creaked open again, and a gust of cool air swept in. Rory didn’t bother to look up until she heard the footsteps pause near her. Her chest tightened. “Rory?” That voice. She hadn’t heard it in years, but it cut through her defenses like a blade. She turned, her blue eyes narrowing. “Evan.” He looked different. The boyish charm she remembered had hardened into something sharper. His blond hair, once unruly, was neatly combed, and his leather jacket hung loose over a tailored shirt. But his eyes—those icy blue eyes—still bore the same intensity. He smiled, but it didn’t reach his eyes. “Mind if I sit?” She hesitated, then gestured to the stool beside her. Silas slid him a whiskey without a word, his hazel eyes flickering between them. “You’re looking… different,” Evan said, his tone casual, but his gaze lingered on her scarred wrist. “Funny, I was thinking the same about you.” She took another sip of whiskey, her voice steady. He chuckled, low and rough. “Eight years will do that to a person.” “Eight years,” she repeated, rolling the words around in her mouth like they were foreign. “Feels like yesterday.” “And yet, it doesn’t.” He leaned forward, resting his elbows on the bar. “What brings you to London?” “Work,” she said simply, avoiding his gaze. “Work?” His eyebrow arched. “Last I heard, you were in Cardiff, studying law.” “Last I heard, you were in Manchester,” she countered, her tone sharper than she intended. He winced, just slightly, but enough for her to notice. “Touché.” Silence stretched between them, thick and heavy. Rory traced the grain of the bar with her fingertip, her mind racing. There was so much to say, so much to ask, but the words lodged in her throat. “Why are you here, Evan?” she finally asked, her voice quiet but firm. He hesitated, swirling the whiskey in his glass. “I’m in town for a job. Thought I’d stop by for old time’s sake.” “Old time’s sake,” she echoed, bitterness creeping into her tone. “You have a funny way of showing it.” His jaw tightened. “I know I screwed up, Rory. I don’t expect you to forgive me.” “Good. Because I won’t.” He nodded, his expression unreadable. “Fair enough.” She glanced at him, her gaze lingering on the faint lines etched into his face. Time had been kinder to him than she’d hoped. “You look… good,” she admitted reluctantly. He smirked, but it didn’t reach his eyes. “You too.” “Don’t.” “Don’t what?” “Don’t act like we’re just catching up. Like we’re old friends.” He leaned back, his shoulders stiffening. “Then what are we, Rory?” She opened her mouth to retort, but the words caught in her throat. What were they? Strangers bound by memories they couldn’t escape? Enemies who still carried the scars of their past? She didn’t know. “Why did you leave?” she asked, her voice barely above a whisper. He stared into his glass, his grip tightening. “I didn’t have a choice.” “Everyone has a choice, Evan.” “Not me,” he said, his voice rough. “Not back then.” She studied him, searching for the truth in his eyes. “What aren’t you telling me?” He shook his head. “Some things are better left in the past.” “Bullshit.” “Rory—” “No.” She slammed her glass down, the sound echoing through the bar. “You don’t get to do this. You don’t get to waltz back into my life after all these years and act like nothing happened. Like you didn’t—” Her voice broke, and she looked away, her chest heaving. Evan reached out, his hand brushing hers, but she pulled back as if burned. “I’m sorry,” he said, his voice raw. “For everything.” She shook her head, tears pricking the corners of her eyes. “Sorry doesn’t fix it.” “I know.” He leaned forward, his hands clenched into fists. “But it’s all I’ve got.” She stared at him, her heart pounding in her chest. The man sitting beside her was a stranger, yet achingly familiar. The boy she’d loved was gone, replaced by someone she barely recognized. And still, she couldn’t shake the ache in her chest. “Why now?” she asked, her voice trembling. “Why come back now?” He hesitated, his eyes darkening. “Because I’m tired of running.” She laughed, short and bitter. “You’re not the only one.” He reached for her again, but she stood abruptly, her stool scraping against the floor. “I should go.” “Rory—” “Don’t.” She grabbed her jacket, her hands trembling. “Just don’t.” She turned and strode toward the door, her heart pounding in her chest. “Wait.” His voice cut through the silence, sharp and commanding. She paused, her hand on the door handle, but she didn’t turn around. “I’ll be in town for a while,” he said, his voice softer now. “If you ever want to talk…” She nodded, her throat tight, and pushed the door open. The cool night air hit her like a slap, and she inhaled deeply, trying to steady her breathing. Behind her, the green neon sign buzzed softly, casting its faint glow over the damp pavement.
created_at"2026-02-19T12:26:51.222Z" 2/19/2026, 12:26:51 PM
model"deepseek/deepseek-chat-v3"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency452
moderation_latency(null)
generation_time58563
tokens_prompt1094
tokens_completion1628
native_tokens_prompt991
native_tokens_completion1435
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"
usage0.00159427
router(null)
provider_responses
0
endpoint_id"5294d55f-9012-496b-8f22-8cc919432dcd"
id"chatcmpl-Rj0eVsQdeRtUXSOaUwd4Foqq"
is_byokfalse
latency75
model_permaslug"deepseek/deepseek-chat-v3"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771504011-uqcUwqrjYJXni1gmvTLP"
upstream_id"chatcmpl-Rj0eVsQdeRtUXSOaUwd4Foqq"
total_cost0.00159427
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
90.91% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags18
adverbTagCount3
adverbTags
0"she said simply [simply]"
1"she finally asked [finally]"
2"she admitted reluctantly [reluctantly]"
dialogueSentences55
tagDensity0.327
leniency0.655
rawRatio0.167
effectiveRatio0.109
74.57% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount983
totalAiIsmAdverbs5
found
0
adverb"softly"
count2
1
adverb"slightly"
count1
2
adverb"reluctantly"
count1
3
adverb"barely above a whisper"
count1
highlights
0"softly"
1"slightly"
2"reluctantly"
3"barely above a whisper"
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)
8.44% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount983
totalAiIsms18
found
0
word"familiar"
count2
1
word"traced"
count2
2
word"footsteps"
count1
3
word"charm"
count1
4
word"intensity"
count1
5
word"eyebrow"
count1
6
word"silence"
count2
7
word"racing"
count1
8
word"echoed"
count1
9
word"unreadable"
count1
10
word"etched"
count1
11
word"whisper"
count1
12
word"echoing"
count1
13
word"pounding"
count2
highlights
0"familiar"
1"traced"
2"footsteps"
3"charm"
4"intensity"
5"eyebrow"
6"silence"
7"racing"
8"echoed"
9"unreadable"
10"etched"
11"whisper"
12"echoing"
13"pounding"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"clenched jaw/fists"
count1
highlights
0"clenched into fists"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences76
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences76
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences112
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen28
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords980
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions11
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions8
wordCount735
uniqueNames4
maxNameDensity0.41
worstName"Rory"
maxWindowNameDensity1.5
worstWindowName"Silas"
discoveredNames
Raven1
Nest1
Rory3
Silas3
persons
0"Raven"
1"Rory"
2"Silas"
places(empty)
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences60
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount980
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences112
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs60
mean16.33
std14.01
cv0.858
sampleLengths
077
154
230
31
423
51
649
74
823
916
1017
1113
1218
1318
147
1513
1615
1711
1837
1913
2022
2118
2216
234
247
2530
2610
271
282
2911
3011
3135
3212
3313
345
3510
3615
3712
381
391
4039
4110
4214
439
4415
4515
4643
4711
4810
4910
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences76
matches
0"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs140
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences1
totalSentences112
ratio0.009
matches
0"But his eyes—those icy blue eyes—still bore the same intensity."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount738
adjectiveStacks0
stackExamples(empty)
adverbCount26
adverbRatio0.03523035230352303
lyAdverbCount13
lyAdverbRatio0.017615176151761516
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences112
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences112
mean8.75
std5.23
cv0.598
sampleLengths
014
121
215
315
412
516
621
77
810
913
1014
113
121
132
1415
156
161
173
1810
1918
2010
218
224
239
2414
2516
2617
275
288
2915
303
3113
325
337
344
359
3615
3710
381
397
4013
4117
4213
438
4414
4510
468
473
4813
494
57.44% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.39285714285714285
totalSentences112
uniqueOpeners44
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences75
matches(empty)
ratio0
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount50
totalSentences75
matches
0"He glanced up, nodded, and"
1"She slid onto a stool"
2"She raised it to her"
3"Her chest tightened."
4"She hadn’t heard it in"
5"She turned, her blue eyes"
6"He looked different."
7"His blond hair, once unruly,"
8"He smiled, but it didn’t"
9"She hesitated, then gestured to"
10"She took another sip of"
11"He chuckled, low and rough."
12"she repeated, rolling the words"
13"He leaned forward, resting his"
14"she said simply, avoiding his"
15"His eyebrow arched"
16"she countered, her tone sharper"
17"He winced, just slightly, but"
18"she finally asked, her voice"
19"He hesitated, swirling the whiskey"
ratio0.667
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount70
totalSentences75
matches
0"The green neon sign buzzed"
1"Rory pushed open the heavy"
2"The bar was quiet tonight,"
3"Silas stood behind the counter,"
4"He glanced up, nodded, and"
5"She slid onto a stool"
6"The dim light caught the"
7"Silas poured her a whiskey"
8"She raised it to her"
9"The door creaked open again,"
10"Rory didn’t bother to look"
11"Her chest tightened."
12"She hadn’t heard it in"
13"She turned, her blue eyes"
14"He looked different."
15"The boyish charm she remembered"
16"His blond hair, once unruly,"
17"He smiled, but it didn’t"
18"She hesitated, then gestured to"
19"Silas slid him a whiskey"
ratio0.933
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences75
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences34
technicalSentenceCount1
matches
0"Silas stood behind the counter, polishing glasses with a cloth that had seen better days."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags18
uselessAdditionCount11
matches
0"She took, her voice steady"
1"she countered, her tone sharper than she intended"
2"she finally asked, her voice quiet but firm"
3"she echoed, bitterness creeping into her tone"
4"she asked, her voice barely above a whisper"
5"he said, his voice rough"
6"She slammed, the sound echoing through the bar"
7"he said, his voice raw"
8"she asked, her voice trembling"
9"She grabbed, her hands trembling"
10"he said, his voice softer now"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags10
fancyCount2
fancyTags
0"she repeated (repeat)"
1"she admitted reluctantly (admit)"
dialogueSentences55
tagDensity0.182
leniency0.364
rawRatio0.2
effectiveRatio0.073
77.7120%