Run: 2026-07-25-01KYCYEM8C8TK7RGX7FYP5KB0V

Run Details

Duration:
4.4s
Cost:
$0.002202
Provider:
Google AI Studio

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 green neon sign above the entrance flickered against the damp Soho pavement. Inside The Raven's Nest, the air smelled of stale beer and polish. Silas wiped down the mahogany counter with a gray rag, favoring his left leg as he shifted his weight. Brass fixtures gleamed under low amber bulbs. Old maps and black-and-white photographs covered the dark wood walls. The brass bell above the door chimed. Aurora pushed past the threshold, shaking rain from her straight black hair. She scanned the room with bright blue eyes, her gaze lingering on the framed topographical charts before landing on the bartender. Silas stopped wiping. He stared past the bar, his hazel eyes narrowing. He set the rag down on the sticky surface. "Rory," Silas said, resting his heavy palms against the counter. Aurora crossed the floorboards. She pulled off her damp leather jacket and dropped it onto an empty barstool. A small crescent-shaped scar caught the amber light on her left wrist as she reached for a glass of water. "You look older, Si," Aurora said, sliding onto the stool. "Years tend to accumulate when you stop running," Silas said, pouring a finger of amber whiskey into a short tumbler. He pushed the glass across the polished wood. "Cardiff missed you. Or so your mother mentioned during our last correspondence." "Cardiff was a graveyard," Aurora said, her fingers curling around the cold glass without lifting it. "Parents wanted pre-law. A neat little box with a brass plaque on the door." "Instead you chose London and delivery slips for a Chinese restaurant," Silas said, leaning his forearms on the wood. "Your father still asks if you finished your degree." "Tell him I passed the bar," Aurora said, the corner of her mouth twitching upward without humor. "The one right here. Pour me something stronger." Silas traded the water for a bottle of gin, pouring a generous measure into a fresh glass. He pushed it toward her. "Eva still checks the postbox for you every Tuesday." "Eva has too much time on her hands," Aurora said, taking a sharp sip. The gin burned her throat. She set the glass down with a distinct thud. "Evan found me outside my flat six months ago. Broke my nose against the brickwork." Silas went still. His hand drifted to the silver signet ring on his right hand, turning it once, twice. The quiet authority in his posture hardened into something lethal. "Where is he now?" Silas asked, his voice dropping an octave. "Under a bridge near the Thames, chewing on his molars," Aurora said, meeting his hazel gaze head-on. "I stopped running, Si. I learned to kick first." Silas studied her face, tracing the small, subtle shifts in her expression. The girl who used to hide behind library stacks in Cardiff had dissolved entirely. In her place sat someone forged in cold iron. "You carry a weapon," Silas stated, not a question. "Always," Aurora said, tapping her collarbone. "You taught me observation. I just added execution." Silas poured himself a finger of whiskey and raised the glass in a silent toast. The ice clinked against the crystal. "The Nest has a back room," Silas said, his eyes fixed on hers. "Maps need updating. Old contacts are getting sloppy." Aurora picked up her gin and finished the remaining liquid in one fluid motion. She set the glass back down on the mahogany. "Show me," Aurora said.
created_at"2026-07-25T15:31:41.463Z" 7/25/2026, 3:31:41 PM
model"google/gemini-3.5-flash-lite-20260721"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency303
moderation_latency(null)
generation_time4286
tokens_prompt1063
tokens_completion854
native_tokens_prompt1032
native_tokens_completion757
native_tokens_completion_images0
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"STOP"
service_tier"default"
usage0.0022021
router(null)
provider_responses
0
endpoint_id"6bd8f433-79e1-416c-b407-1772eb796c9a"
id"3dZkavLfI5qR-8YPh4bYyAU"
is_byokfalse
latency303
model_permaslug"google/gemini-3.5-flash-lite-20260721"
provider_name"Google AI Studio"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1784993501-WuOL0Q262dcKvGlQQ2zX"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784993501-zcB0H2HWirhG5WXqH9Mv"
upstream_id"3dZkavLfI5qR-8YPh4bYyAU"
total_cost0.0022021
cache_discount(null)
upstream_inference_cost0
provider_name"Google AI Studio"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags13
adverbTagCount0
adverbTags(empty)
dialogueSentences22
tagDensity0.591
leniency1
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount570
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)
56.14% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount570
totalAiIsms5
found
0
word"flickered"
count1
1
word"weight"
count1
2
word"scanned"
count1
3
word"tracing"
count1
4
word"crystal"
count1
highlights
0"flickered"
1"weight"
2"scanned"
3"tracing"
4"crystal"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences42
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences42
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences51
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen21
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords570
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions13
unquotedAttributions0
matches(empty)
3.30% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions26
wordCount409
uniqueNames6
maxNameDensity2.93
worstName"Silas"
maxWindowNameDensity4
worstWindowName"Silas"
discoveredNames
Soho1
Raven1
Nest1
Aurora10
Silas12
Cardiff1
persons
0"Aurora"
1"Silas"
places
0"Soho"
1"Raven"
2"Cardiff"
globalScore0.033
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences34
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount570
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences51
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs23
mean24.78
std13.36
cv0.539
sampleLengths
061
17
233
321
410
538
610
740
830
928
1025
1131
1243
1329
1411
1526
1635
179
1814
1921
2021
2123
224
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences42
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs75
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences51
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount413
adjectiveStacks1
stackExamples
0"small crescent-shaped scar"
adverbCount5
adverbRatio0.012106537530266344
lyAdverbCount1
lyAdverbRatio0.002421307506053269
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences51
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences51
mean11.18
std4.63
cv0.414
sampleLengths
013
112
219
37
410
57
612
721
83
99
109
1110
124
1314
1420
1510
1620
178
1812
1916
2014
2119
229
2317
248
2517
265
279
2814
295
309
3115
323
3316
3410
3511
3617
379
3812
3914
409
419
426
438
4415
456
4613
478
4814
499
80.39% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.5294117647058824
totalSentences51
uniqueOpeners27
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences41
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount9
totalSentences41
matches
0"She scanned the room with"
1"He stared past the bar,"
2"He set the rag down"
3"She pulled off her damp"
4"He pushed the glass across"
5"He pushed it toward her."
6"She set the glass down"
7"His hand drifted to the"
8"She set the glass back"
ratio0.22
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount38
totalSentences41
matches
0"The green neon sign above"
1"Silas wiped down the mahogany"
2"Brass fixtures gleamed under low"
3"The brass bell above the"
4"Aurora pushed past the threshold,"
5"She scanned the room with"
6"Silas stopped wiping."
7"He stared past the bar,"
8"He set the rag down"
9"Silas said, resting his heavy"
10"Aurora crossed the floorboards."
11"She pulled off her damp"
12"A small crescent-shaped scar caught"
13"Aurora said, sliding onto the"
14"Silas said, pouring a finger"
15"He pushed the glass across"
16"Aurora said, her fingers curling"
17"Silas said, leaning his forearms"
18"Aurora said, the corner of"
19"Silas traded the water for"
ratio0.927
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences41
matches(empty)
ratio0
95.24% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences15
technicalSentenceCount1
matches
0"She scanned the room with bright blue eyes, her gaze lingering on the framed topographical charts before landing on the bartender."
48.08% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags13
uselessAdditionCount2
matches
0"Aurora said, the corner of her mouth twitching upward without humor"
1"Silas asked, his voice dropping an octave"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags13
fancyCount1
fancyTags
0"Silas stated (state)"
dialogueSentences22
tagDensity0.591
leniency1
rawRatio0.077
effectiveRatio0.077
82.5716%