Run: 2026-02-19-01KHTRJNTFSADRDXB8WDHNT2M0

Run Details

Duration:
1m 27s
Cost:
$0.000458
Provider:
NextBit

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
Rory pushed open the heavy wooden door of The Raven's Nest, the dim lights and buzz of conversation spilling out into the cool London evening. She blinked, eyes adjusting to the relative darkness after the bright streetlights outside. Glancing around, she spotted a few familiar faces scattered among the patrons - regulars who injunction by the bar in the evening after finishing their shifts at restaurants and shops nearby. Making her way through the crowd, Rory slid onto an empty barstool and signaled the bartender for her usual. As she waited, sipping her drink, her eyes roamed over the old maps and black-and-white photos that covered the walls. She always found new details to notice in them, losing herself in thoughts of far-off places and times gone by. A tug on her sleeve made Rory turn, her gaze falling on a tall man with a neatly trimmed beard. His auburn hair was streaked with grey, but his hazel eyes were sharp and assessing as they met hers. A flicker of recognition sparked, though it took her a moment to place him. "Rory Carter," he said, his voice warm with nostalgia. "Been a long time." "Henry...?" She tilted her head, trying to match the lined face before her with the young man she remembered from university. "Henry Phelps, is it really you?" He chuckled. "In the flesh. A bit worse for wear," he added, gesturing at his face. "But it's been, what, ten years?" "More like fifteen," Rory corrected, feeling a pang as she realized how much time had slipped away. "I almost didn't recognize you." "Life's been...interesting," Henry said with a wry smile. He signaled the bartender and ordered a whiskey. "Suffice it to say, I've seen some things. Done some things I'm not proud of." Rory arched an eyebrow. "Sounds like a story there." "Maybe another time," he demurred, swirling his drink before taking a sip. His eyes met hers again. "More pressing - what brings you here after all these years? Thought you'd be a hotshot lawyer by now." The words stirred up memories ofstrupge024 her studies, the expectations placed on her broad shoulders, the eterstrnities of1 [ muzzle 01 ad she'd fled those plans, her old life. "Long story," Rory said with a tight smile, taking a long drink. "Let's just say the future I thought I wanted...wasn't what I needed."
created_at"2026-02-19T10:54:21.013Z" 2/19/2026, 10:54:21 AM
model"nousresearch/hermes-3-llama-3.1-70b"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2531
moderation_latency(null)
generation_time86812
tokens_prompt1115
tokens_completion589
native_tokens_prompt1003
native_tokens_completion524
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"
usage0.0004581
router(null)
provider_responses
0
endpoint_id"19e60da4-d0e0-4799-a949-ea786279a5cb"
id"cmpl-7d42cd4dc3144005ac8af18a1a0f8e83"
is_byokfalse
latency2100
model_permaslug"nousresearch/hermes-3-llama-3.1-70b"
provider_name"NextBit"
status200
api_type"completions"
id"gen-1771498461-AkAT4USL2McWAIkbAP6u"
upstream_id"cmpl-7d42cd4dc3144005ac8af18a1a0f8e83"
total_cost0.0004581
cache_discount(null)
upstream_inference_cost0
provider_name"NextBit"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags7
adverbTagCount0
adverbTags(empty)
dialogueSentences15
tagDensity0.467
leniency0.933
rawRatio0
effectiveRatio0
87.31% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount394
totalAiIsmAdverbs1
found
0
adverb"really"
count1
highlights
0"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)
49.24% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount394
totalAiIsms4
found
0
word"familiar"
count1
1
word"flicker"
count1
2
word"pang"
count1
3
word"eyebrow"
count1
highlights
0"familiar"
1"flicker"
2"pang"
3"eyebrow"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"flicker of emotion"
count1
highlights
0"A flicker of recognition"
85.32% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences21
matches
0"m with nostalgia"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences21
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences29
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen30
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords394
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
50.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions10
wordCount301
uniqueNames5
maxNameDensity1.99
worstName"Rory"
maxWindowNameDensity2
worstWindowName"Rory"
discoveredNames
Raven1
Nest1
London1
Rory6
Henry1
persons
0"Raven"
1"Rory"
2"Henry"
places
0"London"
globalScore0.503
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences18
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount394
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences29
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs11
mean35.82
std18.95
cv0.529
sampleLengths
069
159
253
313
427
522
622
731
89
936
1053
88.55% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences21
matches
0"was streaked"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs56
matches(empty)
44.33% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences29
ratio0.034
matches
0"Glancing around, she spotted a few familiar faces scattered among the patrons - regulars who injunction by the bar in the evening after finishing their shifts at restaurants and shops nearby."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount302
adjectiveStacks0
stackExamples(empty)
adverbCount5
adverbRatio0.016556291390728478
lyAdverbCount1
lyAdverbRatio0.0033112582781456954
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences29
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences29
mean13.59
std7.65
cv0.563
sampleLengths
025
113
231
319
420
520
620
719
814
99
104
1121
126
132
1414
156
1617
175
188
198
2015
214
225
2312
245
2519
2629
2712
2812
96.55% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.7241379310344828
totalSentences29
uniqueOpeners21
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences20
matches(empty)
ratio0
40.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount9
totalSentences20
matches
0"She blinked, eyes adjusting to"
1"She always found new details"
2"His auburn hair was streaked"
3"he said, his voice warm"
4"She tilted her head, trying"
5"he added, gesturing at his"
6"He signaled the bartender and"
7"he demurred, swirling his drink"
8"His eyes met hers again."
ratio0.45
35.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount17
totalSentences20
matches
0"Rory pushed open the heavy"
1"She blinked, eyes adjusting to"
2"She always found new details"
3"A tug on her sleeve"
4"His auburn hair was streaked"
5"A flicker of recognition sparked,"
6"he said, his voice warm"
7"She tilted her head, trying"
8"he added, gesturing at his"
9"Rory corrected, feeling a pang"
10"Henry said with a wry"
11"He signaled the bartender and"
12"Rory arched an eyebrow."
13"he demurred, swirling his drink"
14"His eyes met hers again."
15"The words stirred up memories"
16"Rory said with a tight"
ratio0.85
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences20
matches(empty)
ratio0
71.43% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences10
technicalSentenceCount1
matches
0"As she waited, sipping her drink, her eyes roamed over the old maps and black-and-white photos that covered the walls."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount0
matches(empty)
16.67% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount2
fancyTags
0"he added (add)"
1"Rory corrected (correct)"
dialogueSentences15
tagDensity0.333
leniency0.667
rawRatio0.4
effectiveRatio0.267
78.8245%