Run: 2026-02-19-01KHTXCGX8PJ1XBBGBVESF86MW

Run Details

Duration:
1m 20s
Cost:
$0.001042
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. Aurora wiped down the counter with slow, methodical strokes, the green neon glow from the sign outside casting long shadows across the bottles lining the back wall. Silas limped past, adjusting the silver signet ring on his right hand as he inspected the evening's receipts. The door creaked open. A gust of cold air rushed in, carrying with it the scent of rain and something faintly familiar—vanilla and bergamot. Aurora glanced up, her rag stilling mid-swipe. The woman at the door hesitated, her fingers gripping the strap of her leather satchel. Dark circles shadowed her eyes, but the sharpness of her cheekbones hadn't changed. Neither had the way she tucked her hair behind her left ear when nervous. "Eva?" Aurora's voice cracked. Eva's lips parted, then pressed together. She took a step forward, then another, until she stood at the bar, close enough for Aurora to see the fine lines at the corners of her eyes that hadn't been there three years ago. "You're working here?" Eva's gaze flicked to Silas, then back. "Part-time." Aurora tossed the rag under the counter. "Delivery by day, bartending by night." Eva exhaled, the sound almost a laugh. "Still piecing things together." "Something like that." Silas cleared his throat. "I'll be in the back." He disappeared behind the false bookshelf without another word. Eva slid onto a stool. Her coat sleeve rode up as she rested her elbows on the bar, revealing a thin silver bracelet Aurora didn’t recognize. "You look good," Eva said. Aurora snorted. "Liar." "Okay, you look tired." "Better." Aurora reached for a glass. "Drink?" "Whatever you're having." She poured two fingers of bourbon, pushed it across the bar. Eva took it without hesitation, downed half in one go. "Since when do you drink whiskey?" Aurora asked. "Since Prague." Aurora's fingers tightened around her own glass. Prague was Silas’ old wound. Eva had never been. "You went?" Eva swirled the remaining liquor. "After you left." The ice in Aurora’s drink clinked as she set it down too hard. "You tracked me to London just to tell me that?" "No. I came because—" Eva stopped, shook her head. "I don’t know why I came." The silence stretched. The hum of the neon sign filled the space between them. Aurora traced the crescent scar on her wrist. "You could’ve called." "You changed your number." "You know where I live." Eva’s fingers tightened around her glass. "Would you have answered?" Aurora didn’t reply. Eva exhaled, long and slow. "I heard about Evan. What he did." A muscle in Aurora’s jaw twitched. "Ancient history." "Is it?" Eva’s gaze dropped to the scar again. Aurora pulled her sleeve down. "You didn’t come here to talk about him." "No." Eva finished her drink. "I came because I needed to see you. Before I—" She cut herself off. "Before what?" Eva reached into her satchel, pulled out a plane ticket. One-way. Berlin. Aurora stared at it. "You’re leaving." "Tomorrow." "Just like that?" "Just like that." The weight of those words settled between them. Aurora picked up Eva’s empty glass, refilled it without asking. "You could come with me," Eva said softly. Aurora laughed, sharp and hollow. "Right." "I mean it." "You don’t even know why you’re going." Eva’s fingers brushed against hers as she took the glass. "Neither do you." Aurora pulled her hand back. "I have a life here." "Do you?" The question hung in the air, heavy as the silence that followed. Eva stood abruptly, dropping a handful of bills on the bar. "I should go." Aurora didn’t move. "Yeah." Eva hesitated, then turned toward the door. The neon light caught the silver in her bracelet again as she reached for the handle. Aurora’s throat tightened. "Eva." She stopped. Aurora swallowed. "Be careful." Eva looked back, her smile small and sad. "You too, Rory." The door swung shut behind her. The green glow of the sign flickered once, then steadied. Silas emerged from the back, his limp more pronounced than usual. He didn’t speak, just took the empty glass Eva had left behind and polished it with a clean cloth. Aurora stared at the bills on the counter. Exactly enough for two drinks. No tip. She pocketed the money and reached for the next dirty glass. The night stretched ahead, long and quiet.
created_at"2026-02-19T12:18:22.254Z" 2/19/2026, 12:18:22 PM
model"deepseek/deepseek-chat-v3-0324"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency580
moderation_latency(null)
generation_time79501
tokens_prompt1094
tokens_completion1207
native_tokens_prompt991
native_tokens_completion1101
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached64
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"
usage0.00104181
router(null)
provider_responses
0
endpoint_id"820376cb-f110-4d56-ab52-5bd6ca269420"
id"chatcmpl-Rgntvfi0yle99lxXK99dvuwh"
is_byokfalse
latency65
model_permaslug"deepseek/deepseek-chat-v3-0324"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771503502-2DYShEE1hRKNY4peRhAX"
upstream_id"chatcmpl-Rgntvfi0yle99lxXK99dvuwh"
total_cost0.00104181
cache_discount0.00000416
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags12
adverbTagCount1
adverbTags
0"Eva said softly [softly]"
dialogueSentences47
tagDensity0.255
leniency0.511
rawRatio0.083
effectiveRatio0.043
93.16% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount731
totalAiIsmAdverbs1
found
0
adverb"softly"
count1
highlights
0"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)
45.28% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount731
totalAiIsms8
found
0
word"methodical"
count1
1
word"familiar"
count1
2
word"flicked"
count1
3
word"silence"
count2
4
word"traced"
count1
5
word"weight"
count1
6
word"flickered"
count1
highlights
0"methodical"
1"familiar"
2"flicked"
3"silence"
4"traced"
5"weight"
6"flickered"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"weight of words/silence"
count1
1
label"hung in the air"
count1
highlights
0"The weight of those words"
1"hung in the air"
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)
analyzedSentences105
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen35
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords727
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions50
wordCount562
uniqueNames5
maxNameDensity4.09
worstName"Aurora"
maxWindowNameDensity7
worstWindowName"Eva"
discoveredNames
Raven1
Nest1
Eva21
Aurora23
Silas4
persons
0"Raven"
1"Nest"
2"Eva"
3"Aurora"
4"Silas"
places(empty)
globalScore0
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences40
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount727
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences105
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs62
mean11.73
std10.55
cv0.9
sampleLengths
055
131
242
34
441
510
614
711
83
918
1026
115
123
134
147
153
1621
178
182
1916
202
218
2223
2315
2414
2511
264
275
2810
293
3012
318
329
3313
3419
352
3612
376
381
393
403
4118
428
436
443
457
4613
4710
482
4912
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences70
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs103
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences105
ratio0.01
matches
0"A gust of cold air rushed in, carrying with it the scent of rain and something faintly familiar—vanilla and bergamot."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount334
adjectiveStacks0
stackExamples(empty)
adverbCount11
adverbRatio0.03293413173652695
lyAdverbCount1
lyAdverbRatio0.0029940119760479044
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences105
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences105
mean6.92
std5.6
cv0.809
sampleLengths
010
127
218
34
420
57
615
713
814
94
106
1135
1210
138
146
157
164
173
184
1914
205
2121
225
232
241
254
266
271
283
2911
3010
318
322
337
345
354
362
375
383
3913
4010
419
426
433
4411
458
463
474
485
496
53.65% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.3619047619047619
totalSentences105
uniqueOpeners38
54.64% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences61
matches
0"Exactly enough for two drinks."
ratio0.016
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount7
totalSentences61
matches
0"She took a step forward,"
1"He disappeared behind the false"
2"Her coat sleeve rode up"
3"She poured two fingers of"
4"She cut herself off"
5"He didn’t speak, just took"
6"She pocketed the money and"
ratio0.115
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount59
totalSentences61
matches
0"The Raven's Nest smelled of"
1"Aurora wiped down the counter"
2"Silas limped past, adjusting the"
3"The door creaked open."
4"A gust of cold air"
5"Aurora glanced up, her rag"
6"The woman at the door"
7"Neither had the way she"
8"Aurora's voice cracked"
9"Eva's lips parted, then pressed"
10"She took a step forward,"
11"Eva's gaze flicked to Silas,"
12"Aurora tossed the rag under"
13"Eva exhaled, the sound almost"
14"Silas cleared his throat."
15"He disappeared behind the false"
16"Eva slid onto a stool."
17"Her coat sleeve rode up"
18"Aurora reached for a glass"
19"She poured two fingers of"
ratio0.967
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences61
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences23
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences47
tagDensity0.064
leniency0.128
rawRatio0
effectiveRatio0
83.7801%