Run: 2026-07-25-01KYCV58D5C0GFDNCV95FPX46R

Run Details

Duration:
6.0s
Cost:
$0.002840
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
Glasses clinked against the sticky mahogany of the bar counter. Condensation pooled beneath a pint of bitter, bleeding into the grain of the wood. Silas wiped the surface down with a frayed rag, his bad knee throbbing with the damp Soho chill. The green neon sign outside hummed an electric drone through the front window, casting an emerald wash over the empty booths. The bell above the heavy oak door chimed. A gust of London drizzle swept across the threshold. A woman stepped inside, shedding her trench coat with a brisk shake of her shoulders. Straight shoulder-length black hair caught the green light, framing a face Silas cataloged in a fraction of a second. Bright blue eyes scanned the dim interior, lingering on the sepia photographs lining the walls before landing squarely on him. Silas dropped the rag into the sink below the counter. You look different, Rory. A dry chuckle escaped her throat as she approached, dropping onto a leather stool. Time moves, Silas. People tend to move with it. He poured a finger of amber whiskey into a short tumbler, sliding it across the wood without an order spoken. A small crescent-shaped scar caught the overhead amber bulb as her fingers curled around the glass. Cardiff feels like another lifetime ago. She raised the glass, studying the amber liquid as if searching for drowned memories in the dregs. Cardiff is a postcard I burned. The silence stretched between them, heavy with the unsaid names and discarded futures hanging in the tobacco-stained air. Silas leaned his forearms against the bar, his silver signet ring dull under the dim lights. Eva mentioned you were in the city. Working some delivery gig in Chinatown. A delivery person pays rent. Pre-Law at Cardiff bought me nothing except a front-row seat to my own quiet misery. You traded a courtroom for a scooter. I traded someone else's blueprint for my own oxygen. Evan taught me the cost of following a straight line. Silas winced inwardly, remembering the bruises she used to conceal beneath oversized collars before she fled west. Survival isn't a victory lap, Rory. Sometimes it looks like hiding in plain sight above a bar in Soho. She slammed the tumbler down, the glass cracking against the wood. Her bright blue eyes narrowed into flint. I am not hiding. I am building. Out here, nobody asks my father's permission to breathe. He held her gaze, recognizing the sharp edge of the girl who once patched up his old field wounds with trembling hands, now tempered into something harder. Your father still asks about you every Christmas. Let him keep talking to an empty chair. The resentment hung thick, a palpable weight pressing against the ceiling timbers. Silas reached for the bottle, topping off her glass with steady, practiced movements. Families don't break clean. They fray until the threads snap. You would know all about snapped threads, wouldn't you, Silas? Prague still limps around with you. He stopped pouring, the amber spill pooling over the rim of the bottle. His left leg ached in agreement. Some mistakes don't heal straight. You learn to carry the weight without screaming. I am done screaming. She tossed the remaining whiskey back, her throat tight against the burn. The green neon from outside flickered, casting strobe shadows across her pale cheeks. You used to care about things beyond a ledger and a lockbox. The world sharpened its teeth, Silas. I sharpened mine to match. He leaned back, studying the rigid line of her shoulders, the defensive posture of someone who trusted only the blade she kept hidden. You left a lot of collateral damage behind in Wales. I left a corpse of a life. Call it what it is. The door behind her creaked open, admitting a draft of street noise before latching shut again. Neither of them turned. Eva worries about you. She thinks you are slipping into the dark. Eva lives in a fairy tale with a mortgage and a golden retriever. Real life happens down in the dirt. Silas tapped his silver ring against the rim of his own glass, the metallic chime cutting through the hum of the neon sign. The dirt swallows people whole, Rory. I pulled too many bodies out of alleys not to know how this ends. It ends when I say it ends. She slid off the stool, leaving a damp circle on the leather seat. The trench coat went back over her shoulders with a sharp rustle of fabric. Keep pouring the whiskey, Silas. Leave the ghost-hunting to someone else. She turned toward the door, her boots clicking rhythmically against the floorboards until the heavy oak swallowed her into the damp night.
created_at"2026-07-25T14:34:08.686Z" 7/25/2026, 2:34:08 PM
model"google/gemini-3.5-flash-lite-20260721"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency297
moderation_latency(null)
generation_time5896
tokens_prompt1063
tokens_completion1179
native_tokens_prompt1032
native_tokens_completion1012
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"
usage0.0028396
router(null)
provider_responses
0
endpoint_id"6bd8f433-79e1-416c-b407-1772eb796c9a"
id"YMlkav_jLZrVjMcP7KCNkQY"
is_byokfalse
latency297
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-1784990048-R1cMU7BHYVdB6ko3aZiL"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784990048-Cx82mBUCOJZVGvR6ySlI"
upstream_id"YMlkav_jLZrVjMcP7KCNkQY"
total_cost0.0028396
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
totalTags0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount784
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)
42.60% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount784
totalAiIsms9
found
0
word"chill"
count1
1
word"electric"
count1
2
word"cataloged"
count1
3
word"scanned"
count1
4
word"silence"
count1
5
word"palpable"
count1
6
word"weight"
count2
7
word"flickered"
count1
highlights
0"chill"
1"electric"
2"cataloged"
3"scanned"
4"silence"
5"palpable"
6"weight"
7"flickered"
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
narrationSentences74
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences74
filterMatches
0"look"
hedgeMatches
0"tend to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences74
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen27
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords784
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
79.85% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions32
wordCount784
uniqueNames10
maxNameDensity1.4
worstName"Silas"
maxWindowNameDensity2
worstWindowName"Silas"
discoveredNames
Soho2
London1
Silas11
Rory3
Chinatown1
Cardiff3
Christmas1
Wales1
You6
Eva3
persons
0"Silas"
1"Rory"
2"You"
3"Eva"
places
0"Soho"
1"London"
2"Chinatown"
3"Cardiff"
4"Wales"
globalScore0.798
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences61
glossingSentenceCount1
matches
0"as if searching for drowned memories in the dregs"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount784
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences74
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs44
mean17.82
std12.39
cv0.695
sampleLengths
063
18
263
310
44
514
69
736
86
917
106
1134
1213
1320
147
1519
1617
1719
1818
1916
2027
218
228
2325
2410
2516
2619
2713
284
2925
3012
3111
3223
3310
3412
3520
3612
3720
3823
3920
407
4127
4211
4322
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences74
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs135
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences74
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount790
adjectiveStacks1
stackExamples
0"small crescent-shaped scar"
adverbCount17
adverbRatio0.021518987341772152
lyAdverbCount4
lyAdverbRatio0.005063291139240506
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences74
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences74
mean10.59
std5.64
cv0.532
sampleLengths
010
114
218
321
48
59
615
719
820
910
104
1114
123
136
1420
1516
166
1717
186
1918
2016
217
226
235
2415
257
269
2710
2817
296
3013
3111
327
334
343
359
3627
378
388
3912
4013
414
426
4310
446
4513
466
475
488
494
74.77% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.47297297297297297
totalSentences74
uniqueOpeners35
90.09% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences74
matches
0"Bright blue eyes scanned the"
1"Sometimes it looks like hiding"
ratio0.027
68.65% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount28
totalSentences74
matches
0"You look different, Rory."
1"He poured a finger of"
2"She raised the glass, studying"
3"You traded a courtroom for"
4"I traded someone else's blueprint"
5"She slammed the tumbler down,"
6"Her bright blue eyes narrowed"
7"I am not hiding."
8"I am building."
9"He held her gaze, recognizing"
10"Your father still asks about"
11"They fray until the threads"
12"You would know all about"
13"He stopped pouring, the amber"
14"His left leg ached in"
15"You learn to carry the"
16"I am done screaming."
17"She tossed the remaining whiskey"
18"You used to care about"
19"I sharpened mine to match."
ratio0.378
34.32% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount63
totalSentences74
matches
0"Glasses clinked against the sticky"
1"Condensation pooled beneath a pint"
2"Silas wiped the surface down"
3"The green neon sign outside"
4"The bell above the heavy"
5"A gust of London drizzle"
6"A woman stepped inside, shedding"
7"Silas dropped the rag into"
8"You look different, Rory."
9"A dry chuckle escaped her"
10"People tend to move with"
11"He poured a finger of"
12"A small crescent-shaped scar caught"
13"Cardiff feels like another lifetime"
14"She raised the glass, studying"
15"Cardiff is a postcard I"
16"The silence stretched between them,"
17"Silas leaned his forearms against"
18"Eva mentioned you were in"
19"A delivery person pays rent."
ratio0.851
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences74
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences36
technicalSentenceCount2
matches
0"She raised the glass, studying the amber liquid as if searching for drowned memories in the dregs."
1"He leaned back, studying the rigid line of her shoulders, the defensive posture of someone who trusted only the blade she kept hidden."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
89.4762%