Run: 2026-02-19-01KHTXGK1KCRT8WM84RRFRY57R

Run Details

Duration:
1m 18s
Cost:
$0.000926
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 her damp palms against her jeans before pushing through the heavy oak door. The green neon sign buzzed overhead, casting an eerie glow on the wet pavement behind her. She spotted him immediately. Silas stood behind the bar, polishing a glass with the same meticulous care he'd once used to clean his service pistol. His silver signet ring caught the dim light as he worked. Three years hadn't changed his posture—still straight-backed, still watching the room without seeming to look. "Didn't think you'd show." Silas didn't glance up as she slid onto the stool. "You called." Aurora tapped her fingers against the mahogany. The crescent scar on her wrist caught the light when she reached for the tumbler he slid toward her. Silas finally looked at her. His hazel eyes narrowed. "You cut your hair." She touched the ends that now brushed her shoulders. "Needed a change." "That all you changed?" He poured two fingers of bourbon—the good stuff he kept under the counter. The first sip burned. Aurora exhaled through her nose. "You still limp." Silas rubbed his knee absently. "Some things stick with you." He leaned forward, elbows on the bar. "Cardiff let you go just like that?" "I didn't ask permission." The ice in her glass cracked. Down the bar, a couple laughed too loud. Silas waited, the way he used to during debriefings—patient, giving nothing away. Aurora traced the water ring left by her glass. "Evan's in prison." Silas' knuckles whitened around his tumbler. "Should've called me when it happened." "And what? You'd have sent one of your shadows to break his legs?" "I'd have done it myself." The raw edge in his voice made her look up. Silas had aged—more grey in his auburn hair, deeper lines around his eyes. But the anger in his gaze was familiar. She swallowed the rest of her drink. "It's handled." "Handled." Silas scoffed. "You were pre-law. Top of your class. Now you're delivering noodles in the rain." "The Golden Empress pays better than your bar." "Don't deflect." He snatched her empty glass and refilled it. "What happened to Rory Carter?" The name landed like a punch. Aurora flexed her fingers, remembering the weight of law textbooks, the sting of Evan's backhand, the bus ticket to London crumpled in her fist. "She grew up." Aurora met his gaze. "You used to say that's what happens in our line of work." Silas exhaled sharply through his nose. "I trained you to disappear, not self-destruct." A group of tourists stumbled in, shaking rain from their coats. Silas didn't look away from her face. Aurora watched the bourbon swirl in her glass. "You ever miss it? The game?" "Every damn day." His thumb brushed the rim of his signet ring. "But retirement suits me." "Liar." Silas chuckled, low and rough. "Still sharp as ever." He leaned closer. "You could come back in. Properly this time." She shook her head. "Not my world anymore." "Bullshit." He tapped the bar with two fingers—their old signal for _truth incoming_. "You're still wired for it. I see it in how you scan the room, how you hold your glass. Like it might be a weapon." Aurora stiffened. Silas smiled, but it didn't reach his eyes. "Told you. Some things stick." The couple at the end of the bar stood to leave, their laughter fading into the hum of traffic outside. Aurora studied the maps on the walls—old operations, marked in Silas' precise hand. "You ever regret it?" she asked quietly. "All the lies?" Silas poured himself another drink. "Every lie I told kept someone alive. Including you." The ice in her glass had melted. Aurora pushed it away. "I should go. Yu-Fei needs the van back by ten." Silas caught her wrist as she stood. His grip was warm, the calluses familiar. "You know where to find me." She hesitated, then squeezed his hand once before letting go. The door swung shut behind her, cutting off the scent of whiskey and the weight of all the things they hadn't said.
created_at"2026-02-19T12:20:35.512Z" 2/19/2026, 12:20:35 PM
model"deepseek/deepseek-chat-v3-0324"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency657
moderation_latency(null)
generation_time77574
tokens_prompt1094
tokens_completion1064
native_tokens_prompt991
native_tokens_completion951
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"
usage0.00092631
router(null)
provider_responses
0
endpoint_id"820376cb-f110-4d56-ab52-5bd6ca269420"
id"chatcmpl-RKenHplZdzh1BkniYcQZHBp1"
is_byokfalse
latency76
model_permaslug"deepseek/deepseek-chat-v3-0324"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771503635-4yCNWzDAVxsikAiH18oT"
upstream_id"chatcmpl-RKenHplZdzh1BkniYcQZHBp1"
total_cost0.00092631
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"she asked quietly [quietly]"
dialogueSentences37
tagDensity0.324
leniency0.649
rawRatio0.083
effectiveRatio0.054
92.81% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount695
totalAiIsmAdverbs1
found
0
adverb"sharply"
count1
highlights
0"sharply"
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)
64.03% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount695
totalAiIsms5
found
0
word"traced"
count1
1
word"familiar"
count2
2
word"weight"
count2
highlights
0"traced"
1"familiar"
2"weight"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes narrowed"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences52
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences52
filterMatches
0"look"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences79
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen25
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords2
totalWords686
ratio0.003
matches
0"truth incoming"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
10.81% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions27
wordCount467
uniqueNames6
maxNameDensity2.78
worstName"Silas"
maxWindowNameDensity4
worstWindowName"Silas"
discoveredNames
Raven1
Nest1
Aurora10
Evan1
London1
Silas13
persons
0"Raven"
1"Nest"
2"Aurora"
3"Evan"
4"Silas"
places
0"London"
globalScore0.108
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences37
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount686
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences79
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs38
mean18.05
std10.92
cv0.605
sampleLengths
041
151
214
328
413
512
617
712
824
94
1026
1112
1212
1313
145
1531
169
1717
188
1915
2030
2119
2213
2318
2414
2516
261
2720
288
2938
302
3113
3233
3310
3414
3521
3620
3732
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences52
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs81
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences6
totalSentences79
ratio0.076
matches
0"Three years hadn't changed his posture—still straight-backed, still watching the room without seeming to look."
1"\"That all you changed?\" He poured two fingers of bourbon—the good stuff he kept under the counter."
2"Silas waited, the way he used to during debriefings—patient, giving nothing away."
3"Silas had aged—more grey in his auburn hair, deeper lines around his eyes."
4"\"Bullshit.\" He tapped the bar with two fingers—their old signal for _truth incoming_."
5"Aurora studied the maps on the walls—old operations, marked in Silas' precise hand."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount341
adjectiveStacks0
stackExamples(empty)
adverbCount13
adverbRatio0.03812316715542522
lyAdverbCount4
lyAdverbRatio0.011730205278592375
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences79
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences79
mean8.68
std5.23
cv0.602
sampleLengths
010
115
216
34
421
511
615
714
89
919
105
114
124
139
143
1517
164
175
183
195
2012
217
224
236
248
2512
269
273
286
296
3013
315
3210
3313
348
357
362
373
3814
398
4010
415
426
4324
447
4512
466
477
4811
497
63.29% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.379746835443038
totalSentences79
uniqueOpeners30
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences50
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount15
totalSentences50
matches
0"She spotted him immediately."
1"His silver signet ring caught"
2"His hazel eyes narrowed."
3"She touched the ends that"
4"He poured two fingers of"
5"He leaned forward, elbows on"
6"She swallowed the rest of"
7"He snatched her empty glass"
8"His thumb brushed the rim"
9"He leaned closer"
10"She shook her head."
11"He tapped the bar with"
12"she asked quietly"
13"His grip was warm, the"
14"She hesitated, then squeezed his"
ratio0.3
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount47
totalSentences50
matches
0"The Raven's Nest smelled of"
1"Aurora wiped her damp palms"
2"The green neon sign buzzed"
3"She spotted him immediately."
4"Silas stood behind the bar,"
5"His silver signet ring caught"
6"Silas didn't glance up as"
7"Aurora tapped her fingers against"
8"The crescent scar on her"
9"Silas finally looked at her."
10"His hazel eyes narrowed."
11"She touched the ends that"
12"He poured two fingers of"
13"The first sip burned."
14"Aurora exhaled through her nose."
15"Silas rubbed his knee absently."
16"He leaned forward, elbows on"
17"The ice in her glass"
18"Silas waited, the way he"
19"Aurora traced the water ring"
ratio0.94
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences50
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences15
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
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences37
tagDensity0.027
leniency0.054
rawRatio0
effectiveRatio0
81.0313%