Run: 2026-02-19-01KHTYH82K8AR8QC15KJBYWKV0

Run Details

Duration:
1m 41s
Cost:
$0.001028
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 smelled of aged whiskey and polished wood, the dim glow of green neon from the sign outside casting long shadows across the bar. Aurora wiped her hands on her jeans, still damp from the rain outside, and slid onto a stool. The bartender nodded at her—she was a regular—and set down a glass of bourbon without asking. She wrapped her fingers around it, the warmth seeping into her skin. The door creaked open behind her, letting in a gust of wet London air. She didn’t turn, not until she heard the voice. “Rory?” The sound of her name in that particular tone—half disbelief, half something softer—made her spine stiffen. She knew that voice. Knew it like the back of her hand, like the shape of her own heartbeat. Slowly, she turned. Evan stood there, rain dripping from the hem of his coat. His hair was longer than she remembered, curling at the nape of his neck, and there was a new scar cutting through his left eyebrow. But his eyes—those hadn’t changed. Still that same piercing blue, the kind that used to make her stomach flip. “Christ,” she muttered, lifting the bourbon to her lips. “Small world.” He hesitated before stepping closer, his boots leaving damp prints on the floor. “You look—” “Different?” She arched a brow. “Yeah. Five years’ll do that.” Evan exhaled sharply through his nose, as if she’d punched him. He slid onto the stool beside her, motioning to the bartender for a drink. “Didn’t think I’d ever see you again.” “Likewise.” She traced the crescent scar on her wrist absently, the one he used to kiss when he thought she was sleeping. “You in town for long?” “Depends.” His drink arrived—whiskey neat, same as always—and he took a slow sip. “You still living above Silas’ place?” She shot him a look. “You keeping tabs?” “No.” He rubbed his thumb along the rim of his glass. “Just remembered you talking about it, back when—” “Don’t.” Her fingers tightened around her drink. “Don’t do that.” “Do what?” “Pretend like you get to reminisce.” Her voice was low, edged with something sharper than she’d intended. “You don’t.” Evan’s jaw worked. He stared down at his whiskey like it held answers. “I deserved that.” “You deserve a lot of things.” She knocked back the rest of her bourbon, the burn doing little to dull the ache in her chest. “What are you really doing here, Evan?” He hesitated. Then, quieter: “I heard about your dad.” Her breath caught. She hadn’t expected that. “Yeah?” “Yeah.” His thumb stilled. “I’m sorry, Rory.” She swallowed hard. The funeral had been three months ago—closed casket, just like Brendan would’ve wanted. No fuss, no theatrics. Just silence. “Thanks.” Silence stretched between them, thick and suffocating. The bar hummed with murmured conversations, the clink of glasses, the occasional burst of laughter. None of it reached them. “You working?” Evan asked finally. “Delivery gig.” She shrugged. “Pays the rent.” “Still writing?” She glanced at him, surprised he remembered. “Sometimes.” He nodded, as if that meant something. “I read that piece you did last year. The one about the docks.” Her stomach twisted. “You kept up with my work?” “Course I did.” He said it like it was obvious, like there had never been any other option. She looked away. The neon sign flickered outside, painting the bar in pulses of green. “Why are you really here, Evan?” He exhaled, long and slow. “Had business in the city. Thought I’d stop by.” “Bullshit.” His mouth twitched—almost a smile, but not quite. “Always could read me.” “Yeah, well.” She pushed her empty glass away. “Some habits die hard.” He studied her for a long moment, his gaze tracing the lines of her face like he was memorizing her all over again. “You cut your hair.” She touched the ends self-consciously. “Needed a change.” “Suits you.” His voice was softer now, almost tender. “You look good, Rory.” She didn’t answer. Couldn’t. The weight of everything unsaid pressed between them—the fights, the apologies never given, the way he’d walked out without looking back. The way she’d let him. Evan cleared his throat. “You ever think about—” “No.” She stood abruptly, the stool scraping against the floor. “I don’t.” He didn’t try to stop her. Just watched as she dug a few crumpled bills from her pocket and tossed them on the bar. “Take care of yourself, Evan.” She was almost to the door when he spoke again, his voice barely audible over the hum of the bar. “I miss you.” Her hand froze on the door handle. She didn’t turn around. Couldn’t. Then she pushed through, stepping back out into the rain.
created_at"2026-02-19T12:38:25.623Z" 2/19/2026, 12:38:25 PM
model"deepseek/deepseek-chat-v3-0324"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency994
moderation_latency(null)
generation_time100601
tokens_prompt1094
tokens_completion1320
native_tokens_prompt991
native_tokens_completion1121
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached512
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"
usage0.00102809
router(null)
provider_responses
0
endpoint_id"820376cb-f110-4d56-ab52-5bd6ca269420"
id"chatcmpl-Rk7HMqaYU4LwLRCTAq4TRY7S"
is_byokfalse
latency79
model_permaslug"deepseek/deepseek-chat-v3-0324"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771504705-CXy8V5cT5SbE6I1IQe0r"
upstream_id"chatcmpl-Rk7HMqaYU4LwLRCTAq4TRY7S"
total_cost0.00102809
cache_discount0.00003328
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
40.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags14
adverbTagCount4
adverbTags
0"Her fingers tightened around [around]"
1"She knocked back [back]"
2"Evan asked finally [finally]"
3"She stood abruptly [abruptly]"
dialogueSentences50
tagDensity0.28
leniency0.56
rawRatio0.286
effectiveRatio0.16
74.84% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount795
totalAiIsmAdverbs4
found
0
adverb"slowly"
count1
1
adverb"sharply"
count1
2
adverb"really"
count2
highlights
0"slowly"
1"sharply"
2"really"
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)
37.11% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount795
totalAiIsms10
found
0
word"warmth"
count1
1
word"eyebrow"
count1
2
word"stomach"
count2
3
word"traced"
count1
4
word"silence"
count2
5
word"flickered"
count1
6
word"tracing"
count1
7
word"weight"
count1
highlights
0"warmth"
1"eyebrow"
2"stomach"
3"traced"
4"silence"
5"flickered"
6"tracing"
7"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
narrationSentences67
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences67
filterMatches(empty)
hedgeMatches
0"try to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences101
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen26
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords784
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
totalMentions9
wordCount613
uniqueNames5
maxNameDensity0.82
worstName"Evan"
maxWindowNameDensity1.5
worstWindowName"Evan"
discoveredNames
Raven1
Nest1
London1
Evan5
Brendan1
persons
0"Raven"
1"Nest"
2"Evan"
3"Brendan"
places
0"London"
globalScore1
windowScore1
87.50% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences40
glossingSentenceCount1
matches
0"not quite"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount784
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences101
matches
0"knew that voice"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs47
mean16.68
std13.44
cv0.805
sampleLengths
072
123
21
338
455
511
615
710
832
927
1019
118
1219
1310
142
1519
1616
1732
189
198
207
2123
2227
235
247
252
268
2720
289
2918
3021
3114
321
3312
3412
3527
368
3713
3830
398
4012
4124
425
4320
443
4512
4610
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences67
matches(empty)
85.06% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs116
matches
0"was sleeping"
1"was memorizing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount10
semicolonCount0
flaggedSentences7
totalSentences101
ratio0.069
matches
0"The bartender nodded at her—she was a regular—and set down a glass of bourbon without asking."
1"The sound of her name in that particular tone—half disbelief, half something softer—made her spine stiffen."
2"But his eyes—those hadn’t changed."
3"“Depends.” His drink arrived—whiskey neat, same as always—and he took a slow sip."
4"The funeral had been three months ago—closed casket, just like Brendan would’ve wanted."
5"His mouth twitched—almost a smile, but not quite."
6"The weight of everything unsaid pressed between them—the fights, the apologies never given, the way he’d walked out without looking back."
97.14% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount624
adjectiveStacks0
stackExamples(empty)
adverbCount27
adverbRatio0.04326923076923077
lyAdverbCount7
lyAdverbRatio0.011217948717948718
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences101
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences101
mean7.76
std6.15
cv0.792
sampleLengths
026
118
216
312
414
59
61
716
84
915
103
1111
1225
135
1414
159
162
1713
182
195
205
2111
2214
237
2422
255
2613
276
285
293
3011
318
327
333
342
3517
362
373
3810
393
4025
417
422
437
443
454
461
474
483
493
69.64% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.43564356435643564
totalSentences101
uniqueOpeners44
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences61
matches
0"Slowly, she turned."
1"Just watched as she dug"
2"Then she pushed through, stepping"
ratio0.049
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount37
totalSentences61
matches
0"She wrapped her fingers around"
1"She didn’t turn, not until"
2"She knew that voice."
3"His hair was longer than"
4"she muttered, lifting the bourbon"
5"He hesitated before stepping closer,"
6"She arched a brow"
7"He slid onto the stool"
8"She traced the crescent scar"
9"His drink arrived—whiskey neat, same"
10"She shot him a look."
11"He rubbed his thumb along"
12"Her fingers tightened around her"
13"Her voice was low, edged"
14"He stared down at his"
15"She knocked back the rest"
16"Her breath caught."
17"She hadn’t expected that."
18"His thumb stilled"
19"She swallowed hard."
ratio0.607
17.38% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount54
totalSentences61
matches
0"The Raven’s Nest smelled of"
1"Aurora wiped her hands on"
2"The bartender nodded at her—she"
3"She wrapped her fingers around"
4"The door creaked open behind"
5"She didn’t turn, not until"
6"The sound of her name"
7"She knew that voice."
8"Evan stood there, rain dripping"
9"His hair was longer than"
10"she muttered, lifting the bourbon"
11"He hesitated before stepping closer,"
12"She arched a brow"
13"Evan exhaled sharply through his"
14"He slid onto the stool"
15"She traced the crescent scar"
16"His drink arrived—whiskey neat, same"
17"She shot him a look."
18"He rubbed his thumb along"
19"Her fingers tightened around her"
ratio0.885
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences61
matches(empty)
ratio0
12.99% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences22
technicalSentenceCount4
matches
0"Still that same piercing blue, the kind that used to make her stomach flip."
1"He hesitated before stepping closer, his boots leaving damp prints on the floor."
2"Evan exhaled sharply through his nose, as if she’d punched him."
3"He studied her for a long moment, his gaze tracing the lines of her face like he was memorizing her all over again."
89.29% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags14
uselessAdditionCount1
matches
0"She stood abruptly, the stool scraping against the floor"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount1
fancyTags
0"she muttered (mutter)"
dialogueSentences50
tagDensity0.06
leniency0.12
rawRatio0.333
effectiveRatio0.04
77.0311%