Run: 2026-05-10-01KR8X5P2DMQ6GJKMGSQADQ63R

Run Details

Duration:
9.6s
Cost:
$0.002796
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
Rain lashed against the green neon sign outside The Raven's Nest, turning the pavement into a slick, obsidian mirror. Aurora shoved the heavy oak door open, the scent of stale ale and wood polish greeting her alongside the muffled chime of a bell. She shook her hair, droplets scattering over a map of 1940s Berlin pinned to the wall near the entrance. Her boots clicked against the floorboards as she moved toward the bar, the crescent scar on her left wrist itching—a phantom reminder of a shattered glass from a lifetime ago. Silas stood behind the mahogany counter, his silver signet ring flashing as he wiped a glass with a rag. He looked up, hazel eyes narrowing when he saw her. He shifted his weight, favoring his left leg with that familiar, steady rhythm. Keep the usual, Rory? Aurora slid onto a stool, resting her elbows on the cool wood. Make it a double. Long day of navigating the gridlocked nightmares of Charing Cross. People don't care about their takeout when it’s pouring. She watched him pour the amber liquid, the amber light highlighting the streaks of grey in his beard. He pushed the glass toward her, his movements economical and precise. They sat in the hum of the bar, the quiet before the evening rush. Then, the bell chimed once more, sharper and more insistent than before. A figure stepped out of the London gloom. The man stood framed in the threshold for a second, hesitating. He wore a sharp, charcoal-grey coat that looked entirely out of place amidst the peeling wallpaper and dust of the Nest. He scanned the room, his eyes lingering on the photographs, eventually landing on the woman at the bar. Rory? The glass stopped halfway to Aurora’s lips. She frozen, the whiskey scent sharp and medicinal in her nostrils. She turned, her pulse spiking, the cool composure she wore like armor suddenly fraying at the edges. Evan. The name felt like a jagged piece of flint in her mouth. He closed the distance in three long strides, stopping a few feet away. He looked different. The arrogance that used to sit heavy in his jaw had evolved into a slick, corporate veneer. His skin held a permanent, practiced tan, and his hands, once prone to restless, angry gestures, remained shoved deep into his pockets. I heard Cardiff was a dead end. Didn't think you'd survive London, let alone land in a hole like this. Aurora set her drink down with a hollow thud. Survived is a generous word. You look like you’ve been busy climbing things I’d rather keep falling from. He chuckled, a dry sound that lacked any real warmth. He leaned against the bar, his gaze sweeping over Silas, who watched them with the flat, unreadable stare of a man who’d seen ten thousand betrayals. I’m in town for a merger. Just saw the light, thought I’d check if the old neighborhood was still standing. You don't look like you’re doing much of anything, Aurora. Pre-law was supposed to be the ticket out of the gutter, not a delivery route for cheap Chinese takeout. Aurora felt the pressure of the stool beneath her and the heat radiating from the glass. She forced a smile, one that didn't reach her eyes. The gatekeeper of the future has some opinions, I see. Funny how some things stay rusted while everything else shifts. He reached out, his fingers grazing the wood inches from her wrist. Aurora didn't flinch. She let him see it—the crescent scar exposed under the harsh light of the bar. Still carrying that? You clung to that accident like a trophy. I told you then, keep your head in the books, stay away from the sharp edges. You never could follow instructions. Silas cleared his throat, the sound like gravel under a boot. He didn't look up from the counter, but the air around him tightened. We don't tolerate harassment in this establishment. Customers come here for the atmosphere, not to relive their grievances. Evan looked at the older man, a flicker of something—disdain or perhaps a flash of recognition—crossing his face. I’m buying a drink, Silas. Or has the service slipped as much as your clientele? I don't serve patrons who bring the storm inside with them. The walk back into the rain is short. I suggest you take it. Evan turned back to Aurora, ignoring the dismissal. He leaned closer, his cologne—sharp, expensive, suffocating—filling the space between them. You look tired, Rory. Honestly. Does he even know who he’s housing? The girl who flinched at her own shadow, now playing waitress for a retired ghost? Aurora stood up then, the stool legs scraping harshly against the floor. She met his eyes, finding them just as shallow as they were four years ago. She didn't look at the scar. She looked at the man who had tried to build a cage out of possessiveness. You’re counting on the girl you remember to still be here. That’s your first mistake. I left more behind in Cardiff than you bothered to notice. Including the fear. Whatever you think you're representing today, it’s just another suit, another exit strategy. I’m done being your project. Evan stared at her, his lips parting as if to launch a retort, but the words withered. He looked at the room, the maps, the old pictures of a city that had been bombed and rebuilt, and then at Silas, who had stepped out from behind the bar, his singular, deliberate presence making the space feel suddenly, impossibly small. You’re wasting your potential, Aurora. That’s a matter of perspective, Evan. And yours is blinded by a mirror you’re too scared to break. He pulled his hand from his pocket, opened his mouth to speak, then stopped. The silence stretched, filled only by the rhythmic tick of an old wall clock and the steady drip of rain from his coat onto the floorboards. He glanced toward the door, then back at her. The confidence in his posture broke, just a fraction, a crack in the polish. I should go. He didn't wait for a response. He turned and walked out, the door swinging wide to let a gust of cold, wet air spill into the room before it slammed shut, swallowing the neon light once more. Aurora stood still, the hum of her own breathing loud in her ears. She looked at her wrist, then back at the whiskey left on the bar. Silas walked over, picking up the discarded glass and pouring the remainder into the sink. He leaned his hands on the counter, looking at the door, then at her. Some ghosts are better buried, Rory. But they have a habit of digging their way up when the soil gets loose. She exhaled, the tension releasing in her shoulders. She reached across the counter and picked up a fresh, empty glass. He wasn't a ghost, Silas. He was just a memory I hadn't properly discarded yet. She tapped the glass against her own knuckles, the sharp sound cutting through the gloom. He won't be coming back. I think he saw exactly what he was looking for, and it terrified him. Silas gave a curt, approving nod. He reached under the bar and produced a small, leather-bound ledger, his signet ring catching the light again. Good. Because tomorrow, we start the real work. That man was a distraction you didn't need. Aurora took a seat again, watching the rain blur the world outside. She traced the scarred skin on her wrist with her thumb, the lines no longer feeling like a weight, but like a map. She looked at the hidden bookshelf against the back wall, then back at the man who had taught her how to hold her ground. I’m ready. Just keep the whiskey coming.
created_at"2026-05-10T12:18:11.158Z" 5/10/2026, 12:18:11 PM
model"google/gemini-3.1-flash-lite-20260507"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency548
moderation_latency(null)
generation_time9511
tokens_prompt1094
tokens_completion1940
native_tokens_prompt1032
native_tokens_completion1692
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"standard"
usage0.002796
router(null)
provider_responses
0
endpoint_id"237af107-d2e9-46c7-b146-c74d75980dee"
id"g3cAarr2FueHz7IPl5eaiQc"
is_byokfalse
latency548
model_permaslug"google/gemini-3.1-flash-lite-20260507"
provider_name"Google AI Studio"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1778415491-Swsm1EiNRS2AndzbptDo"
session_id(null)
api_type"completions"
id"gen-1778415491-G04xj7Ea4miBIztXFjda"
upstream_id"g3cAarr2FueHz7IPl5eaiQc"
total_cost0.002796
cache_discount(null)
upstream_inference_cost0
provider_name"Google AI Studio"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
92.38% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1313
totalAiIsmAdverbs2
found
0
adverb"suddenly"
count2
highlights
0"suddenly"
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)
27.65% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1313
totalAiIsms19
found
0
word"reminder"
count1
1
word"shattered"
count1
2
word"weight"
count2
3
word"familiar"
count1
4
word"navigating"
count1
5
word"gloom"
count2
6
word"amidst"
count1
7
word"scanned"
count1
8
word"pulse"
count1
9
word"warmth"
count1
10
word"unreadable"
count1
11
word"flicker"
count1
12
word"potential"
count1
13
word"silence"
count1
14
word"rhythmic"
count1
15
word"tension"
count1
16
word"traced"
count1
highlights
0"reminder"
1"shattered"
2"weight"
3"familiar"
4"navigating"
5"gloom"
6"amidst"
7"scanned"
8"pulse"
9"warmth"
10"unreadable"
11"flicker"
12"potential"
13"silence"
14"rhythmic"
15"tension"
16"traced"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"flicker of emotion"
count1
highlights
0"a flash of recognition"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences113
matches(empty)
41.72% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount7
hedgeCount1
narrationSentences113
filterMatches
0"look"
1"see"
2"think"
3"feel"
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences113
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen42
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1307
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions47
wordCount1307
uniqueNames13
maxNameDensity0.92
worstName"Aurora"
maxWindowNameDensity2
worstWindowName"Aurora"
discoveredNames
Raven1
Nest2
Berlin1
Rory4
Charing1
Cross1
London2
Aurora12
Cardiff2
Silas8
Chinese1
Evan5
You7
persons
0"Nest"
1"Rory"
2"Aurora"
3"Silas"
4"Evan"
5"You"
places
0"Raven"
1"Berlin"
2"London"
3"Cardiff"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences90
glossingSentenceCount1
matches
0"felt like a jagged piece of flint in he"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1307
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences113
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs45
mean29.04
std20.29
cv0.698
sampleLengths
092
142
24
312
423
555
658
71
835
91
1067
1120
129
1318
1436
1549
1626
1720
1830
1932
2024
2118
2218
2315
2424
2519
2627
2748
2847
2959
305
3118
3263
333
3437
3556
3621
3720
3815
3915
4019
4124
4216
4359
447
95.95% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences113
matches
0"was supposed"
1"been bombed"
2"is blinded"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs240
matches
0"was still standing"
1"was looking"
41.72% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences4
totalSentences113
ratio0.035
matches
0"Her boots clicked against the floorboards as she moved toward the bar, the crescent scar on her left wrist itching—a phantom reminder of a shattered glass from a lifetime ago."
1"She let him see it—the crescent scar exposed under the harsh light of the bar."
2"Evan looked at the older man, a flicker of something—disdain or perhaps a flash of recognition—crossing his face."
3"He leaned closer, his cologne—sharp, expensive, suffocating—filling the space between them."
88.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1316
adjectiveStacks2
stackExamples
0"sharp, charcoal-grey coat"
1"small, leather-bound ledger,"
adverbCount51
adverbRatio0.03875379939209726
lyAdverbCount10
lyAdverbRatio0.007598784194528876
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences113
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences113
mean11.57
std6.84
cv0.591
sampleLengths
019
124
219
330
419
510
613
74
812
94
1010
119
1218
1311
1414
1512
168
1711
1821
1918
201
217
2211
2317
241
2512
2613
273
2817
2922
307
3113
329
335
3413
3510
3626
376
3814
3910
4019
4116
4210
4310
4410
4512
463
4715
483
498
46.31% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats11
diversityRatio0.336283185840708
totalSentences113
uniqueOpeners38
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences108
matches
0"Then, the bell chimed once"
1"Just saw the light, thought"
2"Still carrying that?"
3"Just keep the whiskey coming."
ratio0.037
5.19% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount58
totalSentences108
matches
0"She shook her hair, droplets"
1"Her boots clicked against the"
2"He looked up, hazel eyes"
3"He shifted his weight, favoring"
4"She watched him pour the"
5"He pushed the glass toward"
6"They sat in the hum"
7"He wore a sharp, charcoal-grey"
8"He scanned the room, his"
9"She frozen, the whiskey scent"
10"She turned, her pulse spiking,"
11"He closed the distance in"
12"He looked different."
13"His skin held a permanent,"
14"I heard Cardiff was a"
15"You look like you’ve been"
16"He chuckled, a dry sound"
17"He leaned against the bar,"
18"I’m in town for a"
19"You don't look like you’re"
ratio0.537
34.07% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount92
totalSentences108
matches
0"Rain lashed against the green"
1"Aurora shoved the heavy oak"
2"She shook her hair, droplets"
3"Her boots clicked against the"
4"Silas stood behind the mahogany"
5"He looked up, hazel eyes"
6"He shifted his weight, favoring"
7"Aurora slid onto a stool,"
8"People don't care about their"
9"She watched him pour the"
10"He pushed the glass toward"
11"They sat in the hum"
12"A figure stepped out of"
13"The man stood framed in"
14"He wore a sharp, charcoal-grey"
15"He scanned the room, his"
16"The glass stopped halfway to"
17"She frozen, the whiskey scent"
18"She turned, her pulse spiking,"
19"The name felt like a"
ratio0.852
46.30% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences108
matches
0"Because tomorrow, we start the"
ratio0.009
81.63% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences70
technicalSentenceCount6
matches
0"He wore a sharp, charcoal-grey coat that looked entirely out of place amidst the peeling wallpaper and dust of the Nest."
1"He scanned the room, his eyes lingering on the photographs, eventually landing on the woman at the bar."
2"She turned, her pulse spiking, the cool composure she wore like armor suddenly fraying at the edges."
3"The arrogance that used to sit heavy in his jaw had evolved into a slick, corporate veneer."
4"He leaned against the bar, his gaze sweeping over Silas, who watched them with the flat, unreadable stare of a man who’d seen ten thousand betrayals."
5"He looked at the room, the maps, the old pictures of a city that had been bombed and rebuilt, and then at Silas, who had stepped out from behind the bar, his si…"
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
83.3639%