Run: 2026-02-19-01KHTRK75RTH49BAPQB23231J5

Run Details

Duration:
3m 24s
Cost:
$0.001894
Provider:
Novita

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 air in The Raven’s Nest smelled of old leather, spilled whiskey, and rain-soaked wool. Rory wiped a damp strand of black hair from her forehead, shaking out her delivery jacket as she pushed through the door. The green neon sign outside had flickered in the downpour, casting a sickly glow on the wet pavement. Inside, the usual low murmur of after-work drinkers filled the space beneath the thrift-store jazz playing softly from hidden speakers. She spotted Silas behind the bar, polishing a glass with a white cloth, his grey-streaked auburn hair catching the dim light. He gave her a slight nod, his hazel eyes flicking toward the back booths. A regular gesture—his way of saying he saw her, she was safe, proceed as needed. Rory shrugged off her jacket, hanging it on a peg by the door, and made her way toward a small table near the fireplace. She wasn’t on the clock now. This was her home, or the closest thing to it since she’d fled Cardiff. It was the laugh that caught her first. A bright, familiar peal that cut through the jazz and chatter like a shard of glass. Rory froze, her hand halfway to pulling out a chair. She knew that laugh. Knew it from university libraries and late-night kebab shops, from whispered secrets in dorm rooms and the back of Evan’s car when things were still good. Or seemed good. She turned slowly. At a corner table, half-shrouded in shadow from a faulty lamp, sat Eva. Eva Reilly. Her childhood friend. The one who’d texted *Get out, Rory, come to London, I’ve got a sofa* five years ago. The one Rory hadn’t seen in person since that first chaotic week on that sofa, before Eva’s photography career took her globetrotting. The girl from Cardiff with the riot of copper curls and paint-splattered jeans, who dreamed in wide-angle lenses and saturated colour. This woman was not that girl. Eva’s hair was now smooth, straightened to a severe black sheet that ended at her jawline. She wore a tailored charcoal pantsuit, sharp at the shoulders, expensive in its minimalist cut. A large portfolio case rested against the table leg. Her fingers, once stained with ink or clay, were bare except for a single platinum band on her right ring finger. No phone in sight. She was speaking to a man in a suit, her posture upright, her smile a calibrated curve. The man left some cash on the table, shook Eva’s hand, and departed. Eva’s smile vanished the moment he turned his back. She pulled a sleek tablet from her portfolio, tapping the screen with a focused intensity Rory recognized—it was the same look she’d get when lining up a perfect shot. Rory’s feet moved before her mind could stop them. She navigated the maze of tables, the threadbare rug catching at her trainers. She stopped a few feet from Eva’s table, waiting. Eva glanced up, annoyance flashing in her green eyes. Then confusion. Then a slow, dawning recognition that seemed to physically wind its way through her rigid posture. Her shoulders dropped half an inch. Her carefully composed face fractured into something raw and astonished. “Rory?” “Hey, Eva.” Eva stood up so quickly her chair scraped loudly on the floorboards. Several patrons glanced over. She didn’t seem to notice. She took a half-step forward, then stopped, as if unsure of the protocol. A hug? A handshake? They hovered in the awkward space between. “What are you… I mean, you’re here?” Eva finally managed. “I live upstairs.” “*Upstairs?*” Eva’s gaze swept the bar, taking in the maps, the photographs, Silas behind the bar. “You live above a pub?” “It’s a bar. And yeah.” Rory gestured to the empty chair. “Can I sit?” “Of course. Yes. God, sorry.” Eva sat back down, her movements stiff. She closed the tablet cover with a soft click. “I had a meeting. With a gallery owner. Over now.” Rory slid into the chair across from her. Up close, the changes were even more pronounced. Eva’s skin was flawlessly made up, but faint tension lines framed her mouth. Her eyes held a polished weariness. “You look… professional.” A wry twist touched Eva’s lips. “That’s one word for it. You look…” Her eyes scanned Rory’s simple t-shirt, jeans, the small crescent scar on her left wrist visible as she rested her hands on the table. “You look like Rory.” “Is that good?” “It’s real.” Eva sighed, the sound escaping like air from a punctured tire. “I didn’t know you were still in London.” “You stopped texting,” Rory said, the words soft but blunt. Eva flinched. “I got busy. The travel… it was constant. And then the agency reshuffled, and I moved into curation. It’s a different world. All emails and contracts and…” She waved a hand. “You know.” “I don’t, actually.” Silence settled between them, thick and heavy. The weight of five years, of abandoned messages and unshared Christmases. Rory remembered the last time they’d spoken properly, on a crackling long-distance call from Bangkok. Eva had been vibrant, buzzing, talking about a monsoon shoot. She’d asked about Evan. Rory had lied and said things were fine. “Are you still with him?” Eva asked suddenly, as if reading the memory. “No.” “Good.” The word was sharp, decisive. “I should have… I wanted to come back sooner. After I sent you that first text, urging you to leave. I felt responsible, in a way.” Rory shook her head. “You weren’t responsible for him. Or for me staying as long as I did.” “But I was your friend. And I left you here.” “You gave me a sofa. That was more than enough.” Eva’s fingers traced the edge of her tablet. “I sold out, Rory.” The confession hung in the air, stark and simple. “What?” “The photography. The art. I sell corporate visuals now. Stock photos for luxury brands. I curate safe, soulless exhibitions for investors who care about tax deductions, not art.” She laughed, a short, bitter sound. “I wear suits. I say words like ‘synergy’ and ‘brand alignment’ without vomiting. My portfolio—” she nudged the black case with her foot, “—is full of perfectly lit, utterly meaningless compositions.” Rory studied her friend’s face. The polished exterior was a shell, and inside, the old Eva was still there, screaming. “Why?” “Money. Security. The travel was glorious but it burned through cash. My dad got sick. The bills…” Eva shook her head. “It’s not an excuse. It’s a reason. A shitty, practical reason.” “You could have told me.” “And said what? ‘Hey Rory, I’m giving up every dream we talked about, every late-night plan, for a desk job and a pension scheme’? You were the brave one, leaving everything. Starting over with nothing. I couldn’t admit I was doing the opposite.” Rory felt a pang of grief, not for herself, but for the copper-haired girl with paint on her hands. “It’s not giving up. It’s a different path.” “It feels like a surrender.” Eva looked down at her own manicured hands. “I see your life, living above a bar in Soho, and it seems… authentic. You escaped. You built something real, even if it’s small.” Rory thought of her tiny flat upstairs, the smell of Silas’s coffee in the morning, the rumble of the delivery bike. The fear that still crept in sometimes when a tall blond man walked into the bar. The ache for her parents’ quiet house in Cardiff. “It’s not all brave. It’s just life. Messy and unplanned.” A server approached, but Eva waved him away without looking. The moment stretched, filled with unsaid things. “I missed you,” Rory said quietly. Eva’s eyes glistened. She blinked rapidly. “I missed you too. Every day. I’d see something, a weird cloud formation or a crumbling wall covered in graffiti, and I’d think, ‘Rory would love that,’ and I’d reach for my phone. But then I’d remember the time difference, or the mountain of work, or the person I’d become… and I’d put it down.” “You’re still you, Eva.” “Am I?” She gave a helpless shrug. “I don’t even own a camera anymore. Just this.” She tapped the tablet. Rory leaned forward. “So get one.” “What?” “A camera. They still sell them.” Rory allowed a small smile. “The Eva I knew wouldn’t let a pantsuit stop her.” Eva stared at her, a slow light dawning in her tired eyes. For a second, the polished curator vanished, and the fiery, determined artist peeked through. “Maybe.” “Not maybe. Do it.” They lapsed into silence again, but this time it was softer. The rain pattered against the windows. Someone laughed at the bar. The world outside kept turning, but at this table, a bridge was being rebuilt, plank by fragile plank. Eva took a deep breath. “Tell me about your life. All of it. The bar, your job… everything.”
created_at"2026-02-19T10:54:38.782Z" 2/19/2026, 10:54:38 AM
model"microsoft/wizardlm-2-8x22b"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency10086
moderation_latency(null)
generation_time203536
tokens_prompt1096
tokens_completion2349
native_tokens_prompt994
native_tokens_completion2061
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached960
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"
usage0.0018941
router(null)
provider_responses
0
endpoint_id"92d0658f-b48a-4746-96e7-75ea71d5e060"
id"e274bf43-ca81-4e87-abc3-744dc622be30"
is_byokfalse
latency10086
model_permaslug"microsoft/wizardlm-2-8x22b"
provider_name"Novita"
status200
api_type"completions"
id"gen-1771498478-lbFMhzkZIlu5eOE2UcvP"
upstream_id"e274bf43-ca81-4e87-abc3-744dc622be30"
total_cost0.0018941
cache_discount(null)
upstream_inference_cost0
provider_name"Novita"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags16
adverbTagCount2
adverbTags
0"Eva asked suddenly [suddenly]"
1"Rory said quietly [quietly]"
dialogueSentences52
tagDensity0.308
leniency0.615
rawRatio0.125
effectiveRatio0.077
76.57% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1494
totalAiIsmAdverbs7
found
0
adverb"softly"
count1
1
adverb"slowly"
count1
2
adverb"carefully"
count1
3
adverb"quickly"
count1
4
adverb"suddenly"
count1
5
adverb"perfectly"
count1
6
adverb"utterly"
count1
highlights
0"softly"
1"slowly"
2"carefully"
3"quickly"
4"suddenly"
5"perfectly"
6"utterly"
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)
43.11% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1494
totalAiIsms17
found
0
word"flickered"
count1
1
word"familiar"
count1
2
word"chaotic"
count1
3
word"calibrated"
count1
4
word"intensity"
count1
5
word"perfect"
count1
6
word"navigated"
count1
7
word"fractured"
count1
8
word"tension"
count1
9
word"scanned"
count1
10
word"silence"
count2
11
word"weight"
count1
12
word"traced"
count1
13
word"stark"
count1
14
word"pang"
count1
15
word"determined"
count1
highlights
0"flickered"
1"familiar"
2"chaotic"
3"calibrated"
4"intensity"
5"perfect"
6"navigated"
7"fractured"
8"tension"
9"scanned"
10"silence"
11"weight"
12"traced"
13"stark"
14"pang"
15"determined"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"hung in the air"
count1
highlights
0"hung in the air"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences100
matches
0"a pang of grief"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount2
narrationSentences100
filterMatches(empty)
hedgeMatches
0"seemed to"
1"seem to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences134
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen55
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans2
markdownWords11
totalWords1480
ratio0.007
matches
0"Get out, Rory, come to London, I’ve got a sofa"
1"Upstairs?"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions12
unquotedAttributions0
matches(empty)
16.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions60
wordCount1013
uniqueNames12
maxNameDensity2.57
worstName"Eva"
maxWindowNameDensity4.5
worstWindowName"Eva"
discoveredNames
Raven1
Nest1
Silas3
Cardiff2
Evan2
Eva26
Reilly1
Rory20
London1
Silence1
Christmases1
Bangkok1
persons
0"Nest"
1"Silas"
2"Evan"
3"Eva"
4"Reilly"
5"Rory"
places
0"Raven"
1"Cardiff"
2"London"
3"Bangkok"
globalScore0.217
windowScore0.167
79.58% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences71
glossingSentenceCount2
matches
0"recognition that seemed to physically wind its way through her rigid posture"
1"as if reading the memory"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.676
wordCount1480
matches
0"not for herself, but for the copper-haired girl with paint on her hands"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences134
matches
0"knew that laugh"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs55
mean26.91
std23.9
cv0.888
sampleLengths
075
194
267
33
478
56
682
751
831
943
101
112
1245
1310
143
1521
1614
1731
1838
1941
203
2121
2210
2335
243
2555
2613
271
2832
2918
3010
3110
3212
339
341
3565
3621
3732
385
3943
4027
4137
4256
4317
446
4561
464
4720
486
491
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences100
matches
0"being rebuilt"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs168
matches
0"was speaking"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences2
totalSentences134
ratio0.015
matches
0"A regular gesture—his way of saying he saw her, she was safe, proceed as needed."
1"She pulled a sleek tablet from her portfolio, tapping the screen with a focused intensity Rory recognized—it was the same look she’d get when lining up a perfect shot."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1031
adjectiveStacks0
stackExamples(empty)
adverbCount25
adverbRatio0.02424830261881668
lyAdverbCount12
lyAdverbRatio0.011639185257032008
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences134
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences134
mean11.04
std8.68
cv0.786
sampleLengths
015
122
218
320
421
514
615
724
86
914
108
1116
1210
134
1426
153
163
1713
182
193
2017
2122
2221
236
2416
2515
269
2721
284
2917
3013
319
3229
339
3413
359
369
372
3816
396
4010
411
422
4312
444
455
4613
472
482
497
44.28% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.30597014925373134
totalSentences134
uniqueOpeners41
35.09% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences95
matches
0"Then a slow, dawning recognition"
ratio0.011
97.89% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount29
totalSentences95
matches
0"She spotted Silas behind the"
1"He gave her a slight"
2"She wasn’t on the clock"
3"It was the laugh that"
4"She knew that laugh."
5"She turned slowly."
6"Her childhood friend."
7"She wore a tailored charcoal"
8"Her fingers, once stained with"
9"She was speaking to a"
10"She pulled a sleek tablet"
11"She navigated the maze of"
12"She stopped a few feet"
13"Her shoulders dropped half an"
14"Her carefully composed face fractured"
15"She didn’t seem to notice."
16"She took a half-step forward,"
17"They hovered in the awkward"
18"She closed the tablet cover"
19"Her eyes held a polished"
ratio0.305
7.37% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount86
totalSentences95
matches
0"The air in The Raven’s"
1"Rory wiped a damp strand"
2"The green neon sign outside"
3"She spotted Silas behind the"
4"He gave her a slight"
5"A regular gesture—his way of"
6"Rory shrugged off her jacket,"
7"She wasn’t on the clock"
8"This was her home, or"
9"It was the laugh that"
10"A bright, familiar peal that"
11"Rory froze, her hand halfway"
12"She knew that laugh."
13"She turned slowly."
14"Her childhood friend."
15"The one who’d texted *Get"
16"The one Rory hadn’t seen"
17"The girl from Cardiff with"
18"This woman was not that"
19"Eva’s hair was now smooth,"
ratio0.905
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences95
matches(empty)
ratio0
71.43% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences40
technicalSentenceCount4
matches
0"The girl from Cardiff with the riot of copper curls and paint-splattered jeans, who dreamed in wide-angle lenses and saturated colour."
1"Eva’s hair was now smooth, straightened to a severe black sheet that ended at her jawline."
2"She pulled a sleek tablet from her portfolio, tapping the screen with a focused intensity Rory recognized—it was the same look she’d get when lining up a perfec…"
3"Then a slow, dawning recognition that seemed to physically wind its way through her rigid posture."
31.25% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags16
uselessAdditionCount3
matches
0"Eva sat, her movements stiff"
1"Eva sighed, the sound escaping like air from a punctured tire"
2"Eva asked suddenly, as if reading the memory"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount2
fancyTags
0"Eva sighed (sigh)"
1"She laughed (laugh)"
dialogueSentences52
tagDensity0.096
leniency0.192
rawRatio0.4
effectiveRatio0.077
80.1077%