Run: 2026-02-19-01KHTYM4STAXAENP84B048V0Y8

Run Details

Duration:
1m 38s
Cost:
$0.000934
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 green neon sign casting an eerie glow through the front windows. Aurora wiped her damp palms against her jeans before pushing through the heavy oak door. The hum of conversation wrapped around her like a thick blanket—somewhere between comforting and suffocating. She spotted Silas behind the bar, polishing a glass with the same meticulous care he gave everything. His hazel eyes flicked up as she approached, a silent acknowledgment passing between them. "Whiskey sour," she said, sliding onto the stool. Silas set down the glass. "You look like hell." "Long shift." Rory rotated her left wrist absently, the crescent scar catching the dim light. He poured without comment, pushing the drink toward her. The first sip burned, settling warmth in her chest. The door creaked open again. A draft of cold air rushed in, followed by the click of heels on hardwood. Rory didn’t look up until the woman settled onto the stool beside her. "Evan always said you’d end up in a place like this." The voice sent a jolt through her. Familiar, but rougher—like gravel dragged through silk. Rory turned slowly. Eva. Her childhood friend looked like a stranger. The soft curves of her face had sharpened, her once-laughing eyes now guarded. She wore a tailored blazer, expensive, but her nails were bitten down to the quick. "You’re back," Rory said. Eva signaled Silas with two fingers. He poured her a double bourbon, neat, without asking. "Six years," Eva said, swirling the amber liquid. "You didn’t answer my calls." Rory traced the rim of her glass. "You didn’t leave a number." A beat of silence. The weight of it pressed between them, thick as the London fog outside. Eva exhaled sharply. "You left Cardiff." "Had to." "Because of him?" Rory’s fingers tightened around her drink. "You knew?" Eva’s jaw worked. "Not until after." The admission hung there, raw and ugly. Silas moved down the bar, giving them the illusion of privacy. Eva knocked back half her bourbon in one swallow. "I looked for you." "I didn’t want to be found." "And now?" Rory studied Eva’s face—the new lines around her mouth, the way she held herself too still. "Why are you here?" Eva’s lips twisted. "Business." "Right." Rory’s laugh was hollow. "Always business with you." Eva’s knuckles whitened around her glass. "You changed your name." "Had to." "Laila." Eva tested the name like it was a foreign word. "Suits you." Rory shrugged. "It’s just a name." Eva leaned in, the scent of her perfume—something expensive and floral—clashing with the bar’s musk. "You could’ve come to me." "And done what?" Rory met her gaze. "You were halfway across the world, playing corporate spy." Eva flinched. The silence stretched. Somewhere in the bar, ice clinked against glass. Eva reached into her blazer, pulling out a slim silver case. She offered Rory a cigarette. "You don’t smoke." "I do now." Rory took one. Eva lit it for her, the flame flickering between them. They exhaled in unison, twin plumes of smoke curling toward the ceiling. Eva tapped ash into the tray. "I heard about your mother." Rory’s chest tightened. "Yeah." "I’m sorry." "Don’t." Eva’s hand hovered, then retreated. "She loved you." Rory stubbed out the cigarette, half-smoked. "You didn’t come here to talk about my mother." Eva studied her for a long moment. "No." "Then say it." Eva drained her glass. "I need your help." Rory laughed again, sharper this time. "Of course you do." "It’s not—" Eva cut herself off, shaking her head. "Forget it." Rory watched her stand, adjust her blazer. The Eva she remembered would’ve argued. Would’ve fought. This Eva just turned to leave. Rory caught her wrist. "Wait." Eva stilled. Rory exhaled. "Sit down." Eva hesitated, then lowered herself back onto the stool. Silas reappeared, refilling their glasses without a word. Rory pushed the fresh whiskey toward Eva. "Start talking."
created_at"2026-02-19T12:40:00.578Z" 2/19/2026, 12:40:00 PM
model"deepseek/deepseek-chat-v3-0324"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2871
moderation_latency(null)
generation_time98092
tokens_prompt1094
tokens_completion1126
native_tokens_prompt991
native_tokens_completion1037
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached960
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"
usage0.00093429
router(null)
provider_responses
0
endpoint_id"820376cb-f110-4d56-ab52-5bd6ca269420"
id"chatcmpl-RaW42q4TLe1toiWdGaqJ0nbq"
is_byokfalse
latency80
model_permaslug"deepseek/deepseek-chat-v3-0324"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771504800-SdETF00YONDWWxR2MpfW"
upstream_id"chatcmpl-RaW42q4TLe1toiWdGaqJ0nbq"
total_cost0.00093429
cache_discount0.0000624
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
totalTags7
adverbTagCount0
adverbTags(empty)
dialogueSentences45
tagDensity0.156
leniency0.311
rawRatio0
effectiveRatio0
84.85% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount660
totalAiIsmAdverbs2
found
0
adverb"slowly"
count1
1
adverb"sharply"
count1
highlights
0"slowly"
1"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)
31.82% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount660
totalAiIsms9
found
0
word"comforting"
count1
1
word"flicked"
count1
2
word"warmth"
count1
3
word"familiar"
count1
4
word"silk"
count1
5
word"traced"
count1
6
word"silence"
count2
7
word"weight"
count1
highlights
0"comforting"
1"flicked"
2"warmth"
3"familiar"
4"silk"
5"traced"
6"silence"
7"weight"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"sent a shiver through"
count1
highlights
0"sent a jolt through"
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
hedgeCount0
narrationSentences67
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences104
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen22
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords654
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions51
wordCount508
uniqueNames6
maxNameDensity4.72
worstName"Eva"
maxWindowNameDensity9
worstWindowName"Eva"
discoveredNames
Raven1
Nest1
Silas5
Eva24
Rory19
London1
persons
0"Raven"
1"Nest"
2"Silas"
3"Eva"
4"Rory"
places
0"London"
globalScore0
windowScore0
93.18% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences44
glossingSentenceCount1
matches
0"looked like a stranger"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount654
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences104
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs63
mean10.38
std8.5
cv0.819
sampleLengths
052
131
28
39
415
518
620
713
811
914
103
111
1235
134
1415
1513
1612
1717
186
192
203
218
226
237
2411
2513
266
272
2820
294
309
3110
322
3313
346
3520
3616
372
3811
3916
403
413
4213
4312
4411
454
462
471
488
4915
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences67
matches
0"were bitten"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs102
matches(empty)
32.97% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences4
totalSentences104
ratio0.038
matches
0"The hum of conversation wrapped around her like a thick blanket—somewhere between comforting and suffocating."
1"Familiar, but rougher—like gravel dragged through silk."
2"Rory studied Eva’s face—the new lines around her mouth, the way she held herself too still."
3"Eva leaned in, the scent of her perfume—something expensive and floral—clashing with the bar’s musk."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount514
adjectiveStacks0
stackExamples(empty)
adverbCount17
adverbRatio0.033073929961089495
lyAdverbCount4
lyAdverbRatio0.007782101167315175
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences104
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences104
mean6.29
std4.35
cv0.692
sampleLengths
022
115
215
317
414
58
65
74
815
99
109
115
1215
1313
1411
157
167
173
181
197
2013
2115
224
236
249
258
265
277
285
294
3013
313
323
332
343
356
362
373
383
397
4011
419
424
436
442
4516
464
473
481
495
63.78% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.3942307692307692
totalSentences104
uniqueOpeners41
55.56% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences60
matches
0"Somewhere in the bar, ice"
ratio0.017
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount9
totalSentences60
matches
0"She spotted Silas behind the"
1"His hazel eyes flicked up"
2"she said, sliding onto the"
3"He poured without comment, pushing"
4"Her childhood friend looked like"
5"She wore a tailored blazer,"
6"He poured her a double"
7"She offered Rory a cigarette."
8"They exhaled in unison, twin"
ratio0.15
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount58
totalSentences60
matches
0"The Raven's Nest smelled of"
1"Aurora wiped her damp palms"
2"The hum of conversation wrapped"
3"She spotted Silas behind the"
4"His hazel eyes flicked up"
5"she said, sliding onto the"
6"Silas set down the glass."
7"Rory rotated her left wrist"
8"He poured without comment, pushing"
9"The first sip burned, settling"
10"The door creaked open again."
11"A draft of cold air"
12"Rory didn’t look up until"
13"The voice sent a jolt"
14"Rory turned slowly."
15"Her childhood friend looked like"
16"The soft curves of her"
17"She wore a tailored blazer,"
18"Eva signaled Silas with two"
19"He poured her a double"
ratio0.967
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences60
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences16
technicalSentenceCount0
matches(empty)
53.57% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount1
matches
0"Rory rotated, the crescent scar catching the dim light"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences45
tagDensity0.067
leniency0.133
rawRatio0
effectiveRatio0
80.5242%