Run: 2026-02-19-01KHTQSANCCF6KRPAQBHMEJMGW

Run Details

Duration:
54.7s
Cost:
$0.000056
Provider:
Nebius

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 fog swirled outside, tendrils curling around the ankles of passersby as they hurried through the Soho streets. Inside The Raven's Nest, a warm glow cast a comforting shadow on the faces of patrons huddled over pints and conversation. The air was heavy with the scent of old wood and cigarette smoke. Aurora Carter slid onto a stool, her black hair a stark contrast to the warm lighting that bathed her features. Her bright blue eyes scanned the room, a habitual comfort-seeking gesture. She'd known this place, Silas' bar, for years. Some nights she'd find herself lost in her thoughts above the bar, sipping a whiskey as Silas himself worked the till. Tonight, however, she'd come alone, driven by a sudden craving for a taste of familiarity and the calming balm of a welcoming face. She flagged down Silas, who approached with his customary quiet authority, his grey-streaked auburn hair and neatly trimmed beard a calming presence. He knew why she came to this place the same way he knew his favorite pub in Prague. "What can I get you, lass?" his low, raspy voice asked, the slight limp in his left leg betraying a history most didn't know. "Usual," Rory said with a smile, slipping off her coat as Silas nodded and retreated into the shadows of his domain. A few moments later, a small glass of whiskey waited on the counter. She sipped, letting her gaze wander around the bar. Maps of far-off lands, faded black-and-white photographs of people and places, lined the walls, casting long shadows that ended at the ragged edges of Silas' collection. These stories and the people within them held a sentimental value for her. They reminded her of a life before the sharp edges of heartache and hardship took their toll. As if responding to the both of them, the front door swung open, and a figure walked into this realm of gaslit nostalgia. Rory's head snapped around, a cold realization spreading across her skin as if the temperature had dropped. The face in front of her, etched with lines and the creases of a life not yet sixty might bode a happier future, had become almost unrecognizable, yet the realization did not wake up recognition of who this "man" was to her. And dangled against that foggy void, walked the infrastructure of her previous life. The man wasn't in the "thirsty group" swept in by laughter that perfected merriment in secluded ends' an porous blend and instead stayed far from that tide - for who he was occupied a part invisible but possible untouched wider expanses binding fragmented glimpses of an impossible youth who chased worldly quiet hex whose altitude sequenced silences shouting monuments consequential situations rather destination reached explaining come whereas Sherman of electrified bridges processes planners appoint house entails slide. ...
created_at"2026-02-19T10:40:30.393Z" 2/19/2026, 10:40:30 AM
model"meta-llama/llama-3.1-8b-instruct"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency518
moderation_latency(null)
generation_time54689
tokens_prompt1138
tokens_completion709
native_tokens_prompt1004
native_tokens_completion592
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"
usage0.0000556
router(null)
provider_responses
0
endpoint_id"474a9b4c-3ad1-403a-b84a-763335ae8f61"
id"cmpl-96ef704d704d4010ba5a5e26616be6d2"
is_byokfalse
latency518
model_permaslug"meta-llama/llama-3.1-8b-instruct"
provider_name"Nebius"
status200
api_type"completions"
id"gen-1771497630-jp4RuIK5qTbasPHwg1xb"
upstream_id"cmpl-96ef704d704d4010ba5a5e26616be6d2"
total_cost0.0000556
cache_discount(null)
upstream_inference_cost0
provider_name"Nebius"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags5
adverbTagCount0
adverbTags(empty)
dialogueSentences4
tagDensity1
leniency1
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount474
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
36.71% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount474
totalAiIsms6
found
0
word"comforting"
count1
1
word"stark"
count1
2
word"scanned"
count1
3
word"etched"
count1
4
word"fragmented"
count1
5
word"sequenced"
count1
highlights
0"comforting"
1"stark"
2"scanned"
3"etched"
4"fragmented"
5"sequenced"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"air was thick with"
count1
highlights
0"The air was heavy with"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences22
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences22
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences22
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen76
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords471
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions10
wordCount393
uniqueNames7
maxNameDensity0.76
worstName"Silas"
maxWindowNameDensity1.5
worstWindowName"Silas"
discoveredNames
Soho1
Raven1
Nest1
Carter1
Silas3
Prague1
Rory2
persons
0"Carter"
1"Silas"
2"Rory"
places
0"Soho"
1"Raven"
2"Prague"
globalScore1
windowScore1
30.95% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences21
glossingSentenceCount1
matches
0"As if responding to the both of them, the front door swung open, and a figure walked into this realm of gaslit nostalgia"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount471
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences22
matches(empty)
89.04% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs7
mean67.29
std31.06
cv0.462
sampleLengths
052
183
264
399
495
577
61
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences22
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs57
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences22
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount92
adjectiveStacks0
stackExamples(empty)
adverbCount1
adverbRatio0.010869565217391304
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences22
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences22
mean21.36
std14.04
cv0.657
sampleLengths
018
121
213
320
411
58
621
723
822
918
1024
1121
1213
139
1426
1513
1617
1723
1817
1942
2013
2177
100.00% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.7727272727272727
totalSentences22
uniqueOpeners17
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences22
matches(empty)
ratio0
92.73% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount7
totalSentences22
matches
0"Her bright blue eyes scanned"
1"She'd known this place,"
2"She flagged down Silas, who"
3"He knew why she came"
4"his low, raspy voice asked,"
5"She sipped, letting her gaze"
6"They reminded her of a"
ratio0.318
50.91% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount18
totalSentences22
matches
0"The fog swirled outside, tendrils"
1"The air was heavy with"
2"Aurora Carter slid onto a"
3"Her bright blue eyes scanned"
4"She'd known this place,"
5"Some nights she'd find herself"
6"Tonight, however, she'd come alone,"
7"She flagged down Silas, who"
8"He knew why she came"
9"his low, raspy voice asked,"
10"Rory said with a smile,"
11"She sipped, letting her gaze"
12"Maps of far-off lands, faded"
13"These stories and the people"
14"They reminded her of a"
15"Rory's head snapped around, a"
16"The face in front of"
17"The man wasn't in the"
ratio0.818
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences22
matches
0"As if responding to the"
ratio0.045
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences15
technicalSentenceCount4
matches
0"Aurora Carter slid onto a stool, her black hair a stark contrast to the warm lighting that bathed her features."
1"She flagged down Silas, who approached with his customary quiet authority, his grey-streaked auburn hair and neatly trimmed beard a calming presence."
2"As if responding to the both of them, the front door swung open, and a figure walked into this realm of gaslit nostalgia."
3"Rory's head snapped around, a cold realization spreading across her skin as if the temperature had dropped."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences4
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
86.6778%