Run: 2026-02-19-01KHTXBZMWT0V47R7EAZV4Q52A

Run Details

Duration:
33.3s
Cost:
$0.032770
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 low hum of The Raven's Nest was a familiar comfort, a sound that seeped into Aurora’s bones after a long day. She traced the condensation on her glass of water, the chill a welcome prickle against her fingertips. Old maps, their continents faded and seas yellowed with age, papered the walls between framed black-and-white photographs of forgotten London corners. From behind the polished oak bar, Silas moved with a quiet economy, his slight limp almost imperceptible. He wiped down the counter, the silver of his signet ring catching the dim, amber light. This was her sanctuary, the quiet space beneath the floorboards of her own flat. A voice cut through the murmur of the few other patrons. A voice from another lifetime. "Rory? My god. Rory Carter?" Aurora froze. No one had called her that in years. The name felt like a costume she had shed, ill-fitting and strange. She turned slowly on her stool, her eyes finding the man standing a few feet away. He wore a tailored navy suit, the kind that cost more than her rent for six months, and his hair was perfectly styled, not a strand out of place. Recognition washed over her, cold and immediate. Liam. Liam Davies from Cardiff. His face was fuller, etched with the faint lines of early success, but the earnest, slightly bewildered brown eyes were the same. He broke into a wide, disbelieving smile. "It is you! I thought I was seeing things. What on earth are you doing here?" He gestured around the bar, a hint of something—pity, maybe, or just confusion—in the sweep of his hand. "I live upstairs." Her voice was flat, offering nothing more. "You live... above a pub?" He pulled out the stool next to her, his expensive cologne a sudden, jarring scent in the familiar air of stale beer and woodsmoke. "Last I heard, your dad was telling everyone you were a shoo-in for a training contract at some magic circle firm." Aurora took a slow sip of water, the ice clinking against her teeth. She could feel Silas’s gaze, a quiet weight from across the room. He didn't look over, just continued polishing a glass, but she knew he was listening. "Plans change." "Well, yeah, clearly." Liam flagged down Silas. "Can I get a Macallan, neat? And whatever she's having." He glanced at her water. "Or something stronger. Come on, Ror, it's been what, six years? This calls for a celebration." "Water is fine." She pushed her glass forward slightly. "And it's just Aurora now." The friendliness in his eyes faltered, the smile tightening at the corners. He nodded, a slow, awkward gesture. "Right. Aurora. Of course." He turned back to the bar, his shoulders stiff. Silas placed the whisky in front of him without a word, his expression unreadable. Liam took a large swallow of the amber liquid, the glass making a sharp sound as he set it down. "So. This is a bit of a coincidence. I'm in town for a merger deal. Staying at The Savoy. You should see the view, it's..." He trailed off, seeing the complete lack of interest on her face. "Anyway. How have you been? Really?" The question hung in the air between them, heavy and loaded. How could she begin to answer that? Tell him about the shouting matches with her father over a law degree she never wanted? About Evan, and the suffocating darkness of that relationship? About fleeing to London with nothing but a rucksack and Eva’s phone number? About the relief of disappearing into the anonymity of the city, delivering noodles for Yu-Fei, finding a strange kind of peace in this world of shadows and unspoken rules, a world Silas presided over? "I'm good, Liam. Working. Paying the bills." "Doing what?" He leaned in, his voice dropping to a conspiratorial whisper. "You're not... you're not in trouble, are you? If you need money—" A laugh escaped her, sharp and without humour. "I'm a delivery driver." His face was a picture of incomprehension. "A what? Like, for Amazon?" "A restaurant. The Golden Empress." "Oh." The single word was a novel of disappointment. He stared into his whisky, swirling it in the glass. "Right. Well. That's... unexpected." He looked up, his gaze catching on her left wrist as she rested it on the bar. His eyes narrowed slightly. "You still have that." She followed his gaze to the faint, crescent-shaped scar there. A ghost of a memory surfaced: a summer afternoon, climbing the old oak behind his parents’ house, the snap of a branch, the sharp, surprising pain. Liam, panicked, had helped her fashion a bandage from his own t-shirt. He had held her hand the whole way home. "It's part of the furniture," she said, her tone cool. She pulled the sleeve of her jacket down. "I remember that day." His voice was softer now, nostalgic. "You cried, but you wouldn't let me tell your mum. Said you'd get in trouble for ripping your jeans." He smiled, a genuine, sad smile this time. "You were always stubborn. Fiercely independent. I always admired that." The memory felt like it belonged to someone else. The girl who cared about ripped jeans and parental disapproval was long gone. "We were kids," she said, dismissing the sentiment. "Yeah. We were." He drained his glass and motioned to Silas for another. "I saw Evan, you know. About a year ago, back in Cardiff." The name landed like a stone in a still pond. Her posture didn't change. Her expression remained placid. But inside, something went cold and hard. "He asked about you. Seemed pretty cut up that you'd just vanished." "Did he?" Liam seemed to finally notice the absolute zero in her voice. He shifted on his stool, the confident facade cracking. "Look, I know he was a bit of a knob, but—" "You don't know anything, Liam." The words were quiet, but they cut the air between them. There was no heat in them, only a chilling finality. He recoiled as if struck. He studied her face, truly looked at her for the first time since he had walked in. He wasn't seeing the bright, argumentative Rory Carter from university anymore. He was seeing the woman who sat before him now: cool-headed, her bright blue eyes holding a depth he couldn't possibly fathom. He saw the way she held herself, a coiled stillness, and the way the old man behind the bar watched over her with a proprietary air. He was an intruder in a world that had its own language, its own gravity. "No," he said, his voice barely a whisper. "I guess I don't." He finished his second whisky in one long, desperate gulp, and stood up, fumbling for his wallet. He threw a fifty-pound note on the counter. It was far too much. "It was... something, seeing you, Aurora." He backed away from the bar. "Take care of yourself." He turned and walked out, the little bell above the door chiming his exit. Aurora watched his reflection disappear from the dark glass of the window, a well-dressed ghost fading back into a life she no longer recognised. The silence he left behind was profound. She felt Silas's presence beside her. He placed a small glass of amber liquid next to her hand—not water. She looked up at him. His hazel eyes were steady, asking nothing. "On the house," he murmured, his voice a low rumble. He began wiping down the section of the bar where Liam had been sitting, erasing the last trace of him.
created_at"2026-02-19T12:18:04.579Z" 2/19/2026, 12:18:04 PM
model"google/gemini-2.5-pro"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2052
moderation_latency(null)
generation_time33234
tokens_prompt1094
tokens_completion2795
native_tokens_prompt1032
native_tokens_completion3148
native_tokens_completion_images0
native_tokens_reasoning1444
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"STOP"
usage0.03277
router(null)
provider_responses
0
endpoint_id"b261d15b-95ce-4c8c-8bce-00eb0dc1ff77"
is_byokfalse
latency2052
model_permaslug"google/gemini-2.5-pro"
provider_name"Google AI Studio"
status200
api_type"completions"
id"gen-1771503484-4NbETq9lUkwUCrmsYOA5"
upstream_id(null)
total_cost0.03277
cache_discount(null)
upstream_inference_cost0
provider_name"Google AI Studio"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags17
adverbTagCount1
adverbTags
0"He turned back [back]"
dialogueSentences39
tagDensity0.436
leniency0.872
rawRatio0.059
effectiveRatio0.051
72.55% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1275
totalAiIsmAdverbs7
found
0
adverb"slowly"
count1
1
adverb"perfectly"
count1
2
adverb"slightly"
count3
3
adverb"really"
count1
4
adverb"truly"
count1
highlights
0"slowly"
1"perfectly"
2"slightly"
3"really"
4"truly"
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)
37.25% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1275
totalAiIsms16
found
0
word"familiar"
count2
1
word"traced"
count1
2
word"chill"
count1
3
word"sanctuary"
count1
4
word"etched"
count1
5
word"could feel"
count1
6
word"weight"
count1
7
word"unreadable"
count1
8
word"unspoken"
count1
9
word"whisper"
count2
10
word"facade"
count1
11
word"chilling"
count1
12
word"silence"
count1
13
word"profound"
count1
highlights
0"familiar"
1"traced"
2"chill"
3"sanctuary"
4"etched"
5"could feel"
6"weight"
7"unreadable"
8"unspoken"
9"whisper"
10"facade"
11"chilling"
12"silence"
13"profound"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"eyes widened/narrowed"
count1
1
label"hung in the air"
count1
highlights
0"eyes narrowed"
1"hung in the air"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences86
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount2
narrationSentences86
filterMatches(empty)
hedgeMatches
0"begin to"
1"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences105
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen38
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1263
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions29
wordCount980
uniqueNames13
maxNameDensity0.71
worstName"Silas"
maxWindowNameDensity2
worstWindowName"Silas"
discoveredNames
Raven1
Nest1
Aurora4
London2
Silas7
Davies1
Cardiff1
Evan1
Eva1
Yu-Fei1
Liam7
Rory1
Carter1
persons
0"Raven"
1"Aurora"
2"Silas"
3"Davies"
4"Evan"
5"Eva"
6"Yu-Fei"
7"Liam"
8"Rory"
9"Carter"
places
0"London"
1"Cardiff"
globalScore1
windowScore1
80.56% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences72
glossingSentenceCount2
matches
0"felt like a costume she had shed, ill-f"
1"felt like it belonged to someone else"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1263
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences105
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs38
mean33.24
std27.97
cv0.842
sampleLengths
0107
116
25
3101
423
518
610
750
840
92
1038
1114
1245
1363
1490
157
1624
1712
1812
195
2048
2157
2218
2347
2422
258
2625
2725
2812
292
3031
3126
3296
3342
3416
3564
3612
3730
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences86
matches(empty)
63.95% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs147
matches
0"was listening"
1"wasn't seeing"
2"was seeing"
88.44% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences2
totalSentences105
ratio0.019
matches
0"He gestured around the bar, a hint of something—pity, maybe, or just confusion—in the sweep of his hand."
1"He placed a small glass of amber liquid next to her hand—not water."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount667
adjectiveStacks0
stackExamples(empty)
adverbCount20
adverbRatio0.029985007496251874
lyAdverbCount7
lyAdverbRatio0.010494752623688156
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences105
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences105
mean12.03
std7.06
cv0.587
sampleLengths
022
117
221
317
416
514
611
75
85
92
108
1112
1216
1329
147
151
164
1722
187
1916
2018
2110
2229
2321
2413
2512
2615
272
287
2915
3016
319
325
3312
346
3513
3614
3720
3837
396
4011
417
4216
439
4413
4534
467
4712
4812
498
51.75% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.3904761904761905
totalSentences105
uniqueOpeners41
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences84
matches(empty)
ratio0
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount50
totalSentences84
matches
0"She traced the condensation on"
1"He wiped down the counter,"
2"She turned slowly on her"
3"He wore a tailored navy"
4"His face was fuller, etched"
5"He broke into a wide,"
6"He gestured around the bar,"
7"Her voice was flat, offering"
8"He pulled out the stool"
9"She could feel Silas’s gaze,"
10"He didn't look over, just"
11"He glanced at her water"
12"She pushed her glass forward"
13"He nodded, a slow, awkward"
14"He turned back to the"
15"He trailed off, seeing the"
16"He leaned in, his voice"
17"His face was a picture"
18"He stared into his whisky,"
19"He looked up, his gaze"
ratio0.595
19.52% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount74
totalSentences84
matches
0"The low hum of The"
1"She traced the condensation on"
2"He wiped down the counter,"
3"This was her sanctuary, the"
4"A voice cut through the"
5"A voice from another lifetime."
6"The name felt like a"
7"She turned slowly on her"
8"He wore a tailored navy"
9"Recognition washed over her, cold"
10"Liam Davies from Cardiff."
11"His face was fuller, etched"
12"He broke into a wide,"
13"He gestured around the bar,"
14"Her voice was flat, offering"
15"He pulled out the stool"
16"Aurora took a slow sip"
17"She could feel Silas’s gaze,"
18"He didn't look over, just"
19"Liam flagged down Silas"
ratio0.881
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences84
matches(empty)
ratio0
86.47% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences38
technicalSentenceCount3
matches
0"She turned slowly on her stool, her eyes finding the man standing a few feet away."
1"He was seeing the woman who sat before him now: cool-headed, her bright blue eyes holding a depth he couldn't possibly fathom."
2"He was an intruder in a world that had its own language, its own gravity."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags17
uselessAdditionCount5
matches
0"He turned back, his shoulders stiff"
1"He leaned in, his voice dropping to a conspiratorial whisper"
2"she said, her tone cool"
3"he said, his voice barely a whisper"
4"he murmured, his voice a low rumble"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount1
fancyTags
0"he murmured (murmur)"
dialogueSentences39
tagDensity0.103
leniency0.205
rawRatio0.25
effectiveRatio0.051
75.5714%