Run: 2026-07-25-01KYCYGHA74AMZJYT6ZT3Q8G84

Run Details

Duration:
5.4s
Cost:
$0.002570
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 hummed, casting a sickly emerald glow across the damp Soho pavement. Inside The Raven's Nest, the air tasted of stale malt and old cedar. Silas wiped down the mahogany counter with a damp rag, his left leg taking the brunt of his weight as he shifted along the boards. The brass door latch rattled. A gust of October wind swept a flurry of dead leaves across the threshold. Aurora stepped inside, shedding her heavy canvas delivery jacket. Straight black hair fell past her shoulders, catching the amber light above the door. Bright blue eyes scanned the shadowy booths before locking onto the bartender. Glasses stopped sliding across the wood. Silas lowered the rag, resting a heavy hand near a silver signet ring on his right palm. "Rory," Silas murmured, the grey-streaked auburn of his beard twitching as a rare smile cracked his stoic expression. "London air suits you, or you look entirely too thin for someone hauling noodles across town." Aurora closed the distance between them, dropping her delivery bag onto an empty stool with a dull thud. A small crescent-shaped scar on her left wrist caught the overhead light as she reached for a glass. "Yu-Fei works me to the bone, Si. Deliveries never stop." Aurora pulled out a stool, sinking into the leather with a soft exhale. "You're still standing on that knee." "Stubborn bone refuses to cooperate." Silas reached for a bottle of amber whiskey, pouring two fingers into a heavy tumbler without asking. "Eviction notices from Cardiff reach you yet?" "Left that baggage behind years ago." Aurora accepted the glass, her fingers brushing the rim. "Eva keeps me busy. London moves fast enough to outrun ghosts." "Ghosts catch up eventually. They prefer dark corners like this one." Silas leaned against the back bar, gesturing vaguely to the sepia photographs lining the walls. "You look different. Harder around the edges. Pre-Law girl from Cardiff vanished somewhere down the M4." "Cardiff was a staging ground for someone else's blueprints." Aurora stared into the amber liquid, watching the ice fracture. "Evan made sure I learned how to dodge punches before I learned tort law." "Men like that leave permanent ink on your skin." Silas narrowed his hazel eyes, noting the rigid posture, the way her shoulders remained coiled toward the door. "Spymasters aren't the only ones who spot surveillance habits. You check every blind spot when you walk through a room." "Survival requires adaptation. You taught me that over cheap pints when I first crashed on Eva's sofa." Aurora took a slow sip, letting the burn settle her throat. "You retired from MI6 to pour whiskey. Seemed like a downgrade at the time." "Quiet beats bullets." Silas chuckled, a dry, gravelly sound. "Prague taught me the cost of ambition. A ruined knee is cheap payment for a heartbeat." "Sometimes the quiet is louder than the gunfire." Aurora traced the rim of her glass, her gaze drifting toward the shadowed hallway leading to the back room. "You still hide secrets behind bookshelves?" "Old habits die slower than men." Silas straightened, his expression flattening into professional neutrality. "What brings the Golden Empress courier to my door past midnight? Yu-Fei doesn't dispatch pad-thais this late." "I needed a drink poured by someone who doesn't ask me to smile." Aurora set the glass down, the glass clinking sharply against the wood. "Eva thinks I should visit home. See my mother. Tell her I survived." "Did you?" "Depends on the day." Aurora looked up, meeting his steady stare. "Brendan still thinks I'm clerking at a firm in Holborn. Jennifer writes letters addressed to a ghost who still cares about property law." "Lying to keep the peace." Silas shook his head slowly. "Heavy burden to carry alone." "You carry a city full of secrets behind this bar. Don't lecture me on heavy burdens." Aurora offered a thin, humorless smile. "We collect armor until we can't take it off." "True enough." Silas poured himself a matching measure, clinking his glass against hers. "To ghosts who refuse to stay buried."
created_at"2026-07-25T15:32:43.986Z" 7/25/2026, 3:32:43 PM
model"google/gemini-3.5-flash-lite-20260721"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency327
moderation_latency(null)
generation_time5354
tokens_prompt1063
tokens_completion1040
native_tokens_prompt1032
native_tokens_completion904
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"
usage0.0025696
router(null)
provider_responses
0
endpoint_id"6bd8f433-79e1-416c-b407-1772eb796c9a"
id"HNdkaqSCA4bd_uMP2Nac8A4"
is_byokfalse
latency327
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-1784993563-l64pZFo8yBU3VnkxllZv"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784993563-mReupWdDe51rmyNtknBO"
upstream_id"HNdkaqSCA4bd_uMP2Nac8A4"
total_cost0.0025696
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
totalTags16
adverbTagCount0
adverbTags(empty)
dialogueSentences33
tagDensity0.485
leniency0.97
rawRatio0
effectiveRatio0
85.29% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount680
totalAiIsmAdverbs2
found
0
adverb"sharply"
count1
1
adverb"slowly"
count1
highlights
0"sharply"
1"slowly"
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)
77.94% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount680
totalAiIsms3
found
0
word"weight"
count1
1
word"scanned"
count1
2
word"traced"
count1
highlights
0"weight"
1"scanned"
2"traced"
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
narrationSentences28
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences28
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences45
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen28
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords680
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
8.36% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions24
wordCount353
uniqueNames6
maxNameDensity2.83
worstName"Aurora"
maxWindowNameDensity4.5
worstWindowName"Aurora"
discoveredNames
Soho1
Raven1
Nest1
October1
Aurora10
Silas10
persons
0"Aurora"
1"Silas"
places
0"Soho"
1"Raven"
globalScore0.084
windowScore0.167
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences26
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount680
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences45
matches(empty)
60.19% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs22
mean30.91
std11.15
cv0.361
sampleLengths
056
119
235
323
434
536
629
729
826
942
1033
1147
1242
1325
1433
1531
1638
172
1834
1915
2031
2120
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences28
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs61
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences45
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount355
adjectiveStacks1
stackExamples
0"small crescent-shaped scar"
adverbCount6
adverbRatio0.016901408450704224
lyAdverbCount5
lyAdverbRatio0.014084507042253521
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences45
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences45
mean15.11
std6.7
cv0.444
sampleLengths
018
113
225
35
414
59
614
712
86
917
1018
1116
1218
1318
1423
156
1622
177
1815
1911
2026
2116
2219
2314
2427
2520
2628
2714
289
2916
3027
316
3214
3317
3425
3513
362
3711
3823
3910
405
4122
429
4313
447
100.00% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.8
totalSentences45
uniqueOpeners36
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences28
matches
0"Bright blue eyes scanned the"
ratio0.036
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount0
totalSentences28
matches(empty)
ratio0
13.57% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount25
totalSentences28
matches
0"The green neon sign above"
1"Silas wiped down the mahogany"
2"The brass door latch rattled."
3"A gust of October wind"
4"Aurora stepped inside, shedding her"
5"Glasses stopped sliding across the"
6"Silas lowered the rag, resting"
7"Silas murmured, the grey-streaked auburn"
8"Aurora closed the distance between"
9"A small crescent-shaped scar on"
10"Aurora pulled out a stool,"
11"Silas reached for a bottle"
12"Aurora accepted the glass, her"
13"Silas leaned against the back"
14"Aurora stared into the amber"
15"Silas narrowed his hazel eyes,"
16"Aurora took a slow sip,"
17"Silas chuckled, a dry, gravelly"
18"Aurora traced the rim of"
19"Silas straightened, his expression flattening"
ratio0.893
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences28
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences9
technicalSentenceCount0
matches(empty)
31.25% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags16
uselessAdditionCount3
matches
0"Aurora accepted, her fingers brushing the rim"
1"Silas straightened, his expression flattening into professional neutrality"
2"Aurora set, the glass clinking sharply against the wood"
89.39% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount2
fancyTags
0"Silas murmured (murmur)"
1"Silas chuckled (chuckle)"
dialogueSentences33
tagDensity0.061
leniency0.121
rawRatio1
effectiveRatio0.121
85.3331%