Run: 2026-07-25-01KYCSE7V0Y3AB1PJZ3QCG8T2N

Run Details

Duration:
5.9s
Cost:
$0.002877
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
Neon green flickered against the damp pavement outside The Raven's Nest, casting a sickly hue over the glass pint glasses cluttering the sticky mahogany bar. Silas wiped down the counter with a grease-stained rag, his left leg dragging slightly with every rotation of his wrist. Dust motes danced through the amber beams slicing past old maps pinned to the timber walls. The brass door latch rattled, admitting a sharp draft of Soho wind that carried the metallic tang of approaching rain. Aurora stepped past the threshold, shaking water droplets from the shoulders of her black jacket. Straight shoulder-length hair clung to her jawline in dark strands, framing eyes as bright and sharp as winter ice. She dropped a heavy insulated delivery bag onto the nearest booth seat and scanned the dim interior until her gaze landed on the man behind the taps. "You poured worse pints in Cardiff, Silas." Silas tossed the rag onto the counter, his hazel eyes narrowing before the corners crunched into deep webs of amusement. He gripped the edge of the wood, pushing himself upright with a wince from his knee. "Rory. Last time I saw you, you wore flannel and carried enough law textbooks to sink a dinghy." Aurora pulled out a stool, the metal legs scraping harshly against the floorboards. She traced the small crescent-shaped scar on her left wrist with her thumb, a nervous habit left over from childhood stitches. "Law books make terrible weapons when things get heavy." Silas poured two fingers of amber whiskey into a short glass and shoved it across the scarred timber. "London changed the Cardiff girl." "London chews everything down to the marrow." Aurora lifted the glass, noting the absence of ice. "You traded MI6 for stale peanuts." "Quiet views. Fewer bullets ricocheting off the masonry." Silas leaned his weight onto his good leg, tapping his silver signet ring against the zinc trim of the beer taps. "Eva mentioned you vanished from campus. Said you stopped answering the landline." "Eva talks too much." "She worries. Mothers lack that specific brand of terror." "I needed distance." Aurora took a slow sip, letting the burn settle behind her breastbone. "Cardiff smelled like my father's expectations and Evan's cheap aftershave. Neither of us survived the purge." "Evan still giving you trouble?" "Evan exists in the past tense, Silas. Permanently." The bell above the door chimed again, but neither turned. A low murmur of jazz drifted from a corner radio, muffled by the steady drumbeat of rain against the windowpanes. "You carry yourself differently," Silas observed, tracing the rim of his own glass. "The slouch is gone. You walk like someone tracking a target." "Delivery work keeps you light on your feet. Yu-Fei demands punctuality." Aurora set the glass down with a sharp clink. "Golden Empress dumplings wait for no one. Not even ex-spooks." "You deliver for Cheung? She employs ghosts and hawks." "She employs people who ask zero questions and keep their mouths shut." Aurora met his hazel stare without blinking. "Turns out my pre-law training translates exceptionally well to smuggling hot wontons past rival syndicates in Chinatown." "You aren't studying for the bar, then." "I skipped the bar exam for the black market." Aurora offered a thin, humorless smile that didn't reach her bright blue eyes. "Much better pay. Fewer ethical dilemmas." Silas let out a low, gravelly huff that sounded like dry leaves scraping asphalt. "We all migrate toward the dark eventually. Some just take the scenic route through Cardiff." "You watched me pack that Ford Fiesta outside my parents' house, didn't you?" Aurora leaned forward, her voice dropping an octave. "You and Eva coordinated the whole escape route." "I merely ensured you didn't drive into a ditch before reaching the Severn Bridge." Silas took a measured drink. "A retired operative occasionally enjoys practical philanthropy." "You tracked me." "I kept a perimeter." "I didn't ask for a keeper." "Nobody asks for the weather either, Rory. It arrives regardless." Silas gestured toward the back of the room, past the rows of liquor bottles and sepia photographs of old Prague streets. "The bookshelf still opens if you need to hide from whatever syndicate is currently chasing your delivery scooter." Aurora stared at the heavy oak shelving unit against the far wall. The books looked ancient, spines cracked and faded beneath a thick layer of Soho grime. Memories of cold London nights, cheap cider, and the sheer terror of having nowhere else to run surged behind her ribs, hot and suffocating. "I don't hide anymore, Silas." She stood up, grabbing the heavy insulated bag by its strap and swinging it over her shoulder. "I deliver."
created_at"2026-07-25T14:04:05.886Z" 7/25/2026, 2:04:05 PM
model"google/gemini-3.5-flash-lite-20260721"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency319
moderation_latency(null)
generation_time5845
tokens_prompt1063
tokens_completion1205
native_tokens_prompt1032
native_tokens_completion1027
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"
usage0.0028771
router(null)
provider_responses
0
endpoint_id"6bd8f433-79e1-416c-b407-1772eb796c9a"
id"VcJkaqufPOu4sOIPjNbbuA0"
is_byokfalse
latency319
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-1784988245-NoobSfBftRDMwZIhTaLX"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784988245-Q7PA3IjliRzSrktz1QbP"
upstream_id"VcJkaqufPOu4sOIPjNbbuA0"
total_cost0.0028771
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
totalTags11
adverbTagCount0
adverbTags(empty)
dialogueSentences36
tagDensity0.306
leniency0.611
rawRatio0
effectiveRatio0
93.54% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount774
totalAiIsmAdverbs1
found
0
adverb"slightly"
count1
highlights
0"slightly"
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)
61.24% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount774
totalAiIsms6
found
0
word"flickered"
count1
1
word"scanned"
count1
2
word"traced"
count1
3
word"weight"
count1
4
word"tracing"
count1
5
word"measured"
count1
highlights
0"flickered"
1"scanned"
2"traced"
3"weight"
4"tracing"
5"measured"
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
narrationSentences29
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences29
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences54
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen31
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords774
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
50.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions23
wordCount456
uniqueNames7
maxNameDensity1.97
worstName"Aurora"
maxWindowNameDensity3.5
worstWindowName"Aurora"
discoveredNames
Raven1
Nest1
Soho2
Silas8
Aurora9
Prague1
London1
persons
0"Nest"
1"Silas"
2"Aurora"
places
0"Raven"
1"Soho"
2"Prague"
3"London"
globalScore0.513
windowScore0.5
60.71% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences28
glossingSentenceCount1
matches
0"sounded like dry leaves scraping asphalt"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount774
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences54
matches
0"huff that sounded"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs32
mean24.19
std16.25
cv0.672
sampleLengths
061
120
261
37
436
518
634
79
823
922
1041
114
129
1331
145
158
1630
1724
1830
199
2036
217
2228
2329
2429
2526
263
274
286
2949
3051
3124
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences29
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs68
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences54
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount459
adjectiveStacks1
stackExamples
0"small crescent-shaped scar"
adverbCount6
adverbRatio0.013071895424836602
lyAdverbCount4
lyAdverbRatio0.008714596949891068
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences54
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences54
mean14.33
std6.97
cv0.486
sampleLengths
025
120
216
320
415
519
627
77
820
916
1018
1113
1221
139
1418
155
1616
176
1829
1912
204
219
2215
2316
245
258
2610
2720
2813
2911
3020
3110
329
3319
3417
357
3622
376
3814
3915
4021
418
4219
437
443
454
466
4731
4818
4912
66.05% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.46296296296296297
totalSentences54
uniqueOpeners25
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences29
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount4
totalSentences29
matches
0"She dropped a heavy insulated"
1"He gripped the edge of"
2"She traced the small crescent-shaped"
3"She stood up, grabbing the"
ratio0.138
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount28
totalSentences29
matches
0"Neon green flickered against the"
1"Silas wiped down the counter"
2"Dust motes danced through the"
3"The brass door latch rattled,"
4"Aurora stepped past the threshold,"
5"She dropped a heavy insulated"
6"Silas tossed the rag onto"
7"He gripped the edge of"
8"Aurora pulled out a stool,"
9"She traced the small crescent-shaped"
10"Silas poured two fingers of"
11"Aurora lifted the glass, noting"
12"Silas leaned his weight onto"
13"Aurora took a slow sip,"
14"The bell above the door"
15"A low murmur of jazz"
16"Silas observed, tracing the rim"
17"Aurora set the glass down"
18"Aurora met his hazel stare"
19"Aurora offered a thin, humorless"
ratio0.966
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences29
matches(empty)
ratio0
63.49% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences18
technicalSentenceCount2
matches
0"Neon green flickered against the damp pavement outside The Raven's Nest, casting a sickly hue over the glass pint glasses cluttering the sticky mahogany bar."
1"The brass door latch rattled, admitting a sharp draft of Soho wind that carried the metallic tang of approaching rain."
79.55% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags11
uselessAdditionCount1
matches
0"Aurora leaned, her voice dropping an octave"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"Silas observed (observe)"
dialogueSentences36
tagDensity0.028
leniency0.056
rawRatio1
effectiveRatio0.056
82.2861%