Run: 2026-07-25-01KYCT864ZENMRCEF8H19JY45W

Run Details

Duration:
6.5s
Cost:
$0.003230
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 cast an emerald smear across the damp pavement of Soho. Inside The Raven's Nest, the air hung heavy with the scent of aged mahogany, spilled stout, and ozone from the kitchen vents. Silas wiped down the zinc bar counter with a damp rag, his weight favoring his right leg as he moved. A bell chimed overhead. The door scraped against the floorboards, letting in a gust of London chill. Aurora shouldered past the threshold, shaking water droplets from her black jacket. She scanned the dim room, her bright blue eyes lingering on the maps and sepia photographs lining the walls before landing on the bartender. Glasses clinked against wood as Silas froze mid-wipe. "Rory." Her shoulder-length hair fell straight past her collarbone, a stark contrast to the frizzy mop she wore back in Cardiff. "Si. You still running this damp cave." He set the rag down, placing his right hand flat on the counter. The silver signet ring caught the amber glow of the overhead lamps. "Someone has to keep the ghosts company." Aurora dropped onto a leather stool near the corner, tracing the rim of an empty glass left by the previous patron. "Eva told me you opened a joint. Didn't picture you pulling pints beneath framed maps of a city you supposedly left behind." Silas poured two fingers of amber liquid into a tumbler, sliding it across the polished wood. "Intelligence work loses its charm when knees give out. This keeps the hands steady." She lifted the glass, catching his hazel gaze over the rim. "You look older. Grey suits the auburn, though." "Time collects its debts from everyone." He leaned against the back shelf, eyeing the small crescent-shaped scar exposed on her left wrist as she set the glass down. "Cardiff law firms missing their star pupil?" "Left that life behind years ago. Pre-law was a cage built by my father." "And London provides better locks?" "London provides anonymity." She gestured vaguely at the empty room. "Deliver food by day, sleep above a pub by night. Simple mathematics." "You never did prefer simple mathematics. You solved logic puzzles while the rest of us stared at the board." "Boards change. Pieces get knocked off." The silence between them stretched, thick with unspoken years and missed funerals. Silas reached for a bottle of gin, his movements mechanical, devoid of his old field efficiency. "Evan still in the picture?" Aurora stiffened, the muscles in her neck cording under her jacket collar. "We stopped talking the night I packed a duffel bag and caught the midnight coach." "Smart girl." Silas poured himself a drink, the ice cube clinking against the glass. "I heard whispers about him. Down in South Wales. Men like that don't just fade out." "They do when you run far enough and fast enough." She stared into her amber drink, watching the ripples settle. "You stayed in touch with Brendan?" "Once or twice a year. He asks if you still read Blackstone. I tell him you work in logistics." "A generous translation." "Fathers want maps for their children. They hate it when the ink smudges." Silas limped around the counter, taking the stool beside her. "You traded a barrister's wig for a delivery jacket." "Freedom smells like exhaust fumes and cheap takeaway. Better than formaldehyde." "You always had a flair for the dramatic exit. Remember that night behind the student union?" "I remember throwing my civil procedure textbook into the River Taff." A rare, genuine smile broke through the neatly trimmed auburn beard. "Coldest November on record. You stood there shivering in a oversized sweater, swearing you would never wear a suit." "And look at me now. Black leather and waterproof boots." Aurora traced the edge of the bar with a fingernail. "You traded MI6 for whiskey bottles. Who won the trade?" "Neither of us. We just traded one kind of surveillance for another." Silas gestured to the street outside through the grimy window. "You think you can outrun the past by changing postcodes?" "I know I can. I live it every day." "Running isn't living, Rory. It's just delayed capture." She turned her head sharply, her bright blue eyes narrowing. "Spare me the retired spy philosophy. You sit behind a mahogany counter pouring drinks for strangers because you couldn't stomach the fallout in Prague." Silas flinched, the subtle shift in his posture the only betrayal of his composure. The silence returned, heavier this time, laden with the weight of old shrapnel and unhealed fractures. "Prague taught me what loyalty costs," he said quietly. "And Cardiff taught me what staying costs." Aurora stood up, sliding her jacket higher up her arms. "Keep the change, Si." She tossed a crumpled note onto the wood and turned toward the door. "Rory." She paused with her hand on the brass handle, the green neon light bleeding through the glass to outline her silhouette. "The back room is always open," Silas said, his voice dropping an octave. "If you ever actually need a safe house instead of a temporary stop." She didn't look back, pushing through the door into the rain.
created_at"2026-07-25T14:18:16.104Z" 7/25/2026, 2:18:16 PM
model"google/gemini-3.5-flash-lite-20260721"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency323
moderation_latency(null)
generation_time6425
tokens_prompt1063
tokens_completion1309
native_tokens_prompt1032
native_tokens_completion1168
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"
usage0.0032296
router(null)
provider_responses
0
endpoint_id"6bd8f433-79e1-416c-b407-1772eb796c9a"
id"qMVkar7QDIqhjMcP7qul-A8"
is_byokfalse
latency323
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-1784989096-xZc5X35rPAWonyObUAMN"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784989096-Qi936P9qKltFDag5oB2g"
upstream_id"qMVkar7QDIqhjMcP7qul-A8"
total_cost0.0032296
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
53.66% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags10
adverbTagCount3
adverbTags
0"She gestured vaguely [vaguely]"
1"Silas limped around [around]"
2"he said quietly [quietly]"
dialogueSentences41
tagDensity0.244
leniency0.488
rawRatio0.3
effectiveRatio0.146
94.16% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount856
totalAiIsmAdverbs1
found
0
adverb"sharply"
count1
highlights
0"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)
24.07% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount856
totalAiIsms13
found
0
word"weight"
count2
1
word"chill"
count1
2
word"scanned"
count1
3
word"stark"
count1
4
word"tracing"
count1
5
word"charm"
count1
6
word"silence"
count2
7
word"unspoken"
count1
8
word"mechanical"
count1
9
word"traced"
count1
10
word"stomach"
count1
highlights
0"weight"
1"chill"
2"scanned"
3"stark"
4"tracing"
5"charm"
6"silence"
7"unspoken"
8"mechanical"
9"traced"
10"stomach"
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
narrationSentences34
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences34
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences65
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen29
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords856
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
50.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions19
wordCount450
uniqueNames7
maxNameDensity2
worstName"Silas"
maxWindowNameDensity3
worstWindowName"Silas"
discoveredNames
Soho1
Raven1
Nest1
London1
Silas9
Cardiff1
Aurora5
persons
0"Silas"
1"Aurora"
places
0"Soho"
1"Raven"
2"London"
3"Cardiff"
globalScore0.5
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences32
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount856
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences65
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs48
mean17.83
std12.57
cv0.705
sampleLengths
076
136
28
31
420
57
625
77
821
922
1016
1114
1211
138
1435
1514
165
1722
1819
196
2028
215
2212
2315
2430
2526
2619
273
2832
2911
3016
3111
3211
3319
3430
3532
369
378
3810
3924
4030
419
4221
4313
441
4521
4626
4711
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences34
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs70
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences65
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount453
adjectiveStacks1
stackExamples
0"small crescent-shaped scar"
adverbCount8
adverbRatio0.017660044150110375
lyAdverbCount5
lyAdverbRatio0.011037527593818985
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences65
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences65
mean13.17
std6.07
cv0.461
sampleLengths
017
122
220
34
413
512
624
78
81
920
107
1113
1212
137
1421
1522
1616
1714
1811
198
2028
217
2214
235
2410
2512
2619
276
2812
2916
305
3112
3215
3314
3416
3520
366
3719
383
3923
409
4111
4216
4311
4411
4519
4620
4710
4822
4910
94.87% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.5692307692307692
totalSentences65
uniqueOpeners37
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences34
matches(empty)
ratio0
78.82% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount12
totalSentences34
matches
0"She scanned the dim room,"
1"Her shoulder-length hair fell straight"
2"He set the rag down,"
3"She lifted the glass, catching"
4"He leaned against the back"
5"She gestured vaguely at the"
6"She stared into her amber"
7"She turned her head sharply,"
8"he said quietly"
9"She tossed a crumpled note"
10"She paused with her hand"
11"She didn't look back, pushing"
ratio0.353
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount33
totalSentences34
matches
0"The green neon sign above"
1"Silas wiped down the zinc"
2"A bell chimed overhead."
3"The door scraped against the"
4"Aurora shouldered past the threshold,"
5"She scanned the dim room,"
6"Glasses clinked against wood as"
7"Her shoulder-length hair fell straight"
8"He set the rag down,"
9"The silver signet ring caught"
10"Aurora dropped onto a leather"
11"Silas poured two fingers of"
12"She lifted the glass, catching"
13"He leaned against the back"
14"She gestured vaguely at the"
15"The silence between them stretched,"
16"Silas reached for a bottle"
17"Aurora stiffened, the muscles in"
18"Silas poured himself a drink,"
19"She stared into her amber"
ratio0.971
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences34
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences22
technicalSentenceCount0
matches(empty)
25.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags10
uselessAdditionCount2
matches
0"Silas poured, the ice cube clinking against the glass"
1"Silas said, his voice dropping an octave"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences41
tagDensity0.049
leniency0.098
rawRatio0
effectiveRatio0
80.4859%