Run: 2026-02-19-01KHTYCDHGKSXDK1NQZB215A37

Run Details

Duration:
15.2s
Cost:
$0.000310
Provider:
Clarifai

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 Raven’s Nest’s green neon sign blinked a weary pulse against the Soho drizzle, casting long, distorted shadows across the wet pavement. Inside, the air hung thick with the scent of stale beer, damp wool, and something faintly metallic—like old coins. Aurora Carter, or Rory, as her friends still called her, pushed through the heavy oak door, her shoulders hunched against the chill. She’d taken the night shift at Yu-Fei Cheung’s Golden Empress, delivering steaming boxes of dim sum to the city’s insomniacs, and the damp had seeped into her bones. She’d been avoiding this place for months, but Eva’s insistent texts—“You *have* to come down, Rory! Just one drink, promise?”—had worn her down. Now, blinking against the low, amber light, she scanned the familiar, slightly grimy interior. There, near the scarred oak bar, sat Silas Blackwood. Not the sharp-suited, impeccably groomed man she remembered from university, but a figure draped in a worn tweed jacket, his grey-streaked auburn hair neatly combed but thinning at the crown. A faint limp marked his stride as he leaned on the bar, his hazel eyes, sharp as ever, tracking her approach. The signet ring on his right hand glinted dully in the bar’s glow. Time had etched lines around his eyes and mouth, deepening the shadows beneath them. He wasn’t old, but he carried the weight of years like a familiar coat. “Rory,” he murmured, his voice a low rumble that cut through the muted chatter and clinking glasses. “Long time, no see.” He pushed himself upright, the movement stiff, and slid off his bar stool with a quiet scrape. He didn’t offer a hand, just held her gaze, his expression unreadable. She blinked, the name rolling off her tongue like a relic. “Silas.” The word felt strange, distant. “You look… different.” The truth was, he looked older, more weathered, but also somehow more solid, less like the restless intelligence officer she’d known. The limp was new, a subtle shift in his posture. “And you,” he replied, his eyes flicking down to the faded delivery uniform she wore, the name badge clipped to her lapel. “Still delivering hope in a box, I see.” A ghost of a smile touched his lips, but it didn’t reach his eyes. “Or is that just the ex?” The mention of Evan, her abusive ex, hung in the air, thick and unwelcome. She’d fled London, changed her name, buried her past under a new identity. “I deliver food,” she said flatly, forcing a lightness into her voice that sounded brittle even to her own ears. “Not hope. Just… sustenance.” She gestured vaguely towards the door. “I was just passing through. Thought I’d grab a quick drink before heading home.” Silas nodded slowly, his gaze lingering on her face. The bright blue eyes she’d inherited from her Irish father were still there, but they held a new depth, a wariness she hadn’t seen before. “Home,” he echoed. “Above the bar, I think? Silas’s place?” His tone wasn’t accusatory, just observational, but it pinned her down. “I remember.” She flinched slightly, the memory of the cramped flat above the bar, the constant hum of the city below, flooding back. “Yeah,” she managed. “Above the bar.” The lie felt heavy. “Silas’s place.” She didn’t add that it was hers now, a small victory bought with hard-earned cash and a fresh start. “So, what brings you here, Silas? The Spymaster? Or just a quiet pint?” He chuckled, a low, gravelly sound. “Spymaster’s retired. Just a quiet pint, and the occasional clandestine meeting in the back room.” He gestured vaguely towards the shadows near the bookshelves. “The Raven’s Nest still serves its purpose, even if the cloak and dagger’s gone a bit rusty.” He paused, studying her. “You’ve changed, Rory. More than just the name.” The accusation, veiled though it was, stung. “I had to,” she said, her voice tight. “I had to leave. Evan… he wasn’t safe.” The scar on her wrist, a crescent moon of pale skin against her tanned forearm, seemed to burn. She instinctively pulled her sleeve down. “I changed everything. My name, my life. I became someone else.” Silas leaned forward, resting his elbows on the bar, his gaze intense. “And who is that someone else?” His voice dropped, becoming a confidential whisper. “The cool-headed, quick-thinking Rory I knew wouldn’t just… disappear. She’d fight. She’d find a way.” He paused, his hazel eyes searching hers. “What did you fight for, Rory? What did you run towards?” The question hung between them, heavy with unspoken regret. She saw it then, the flicker of something in his eyes—not just curiosity, but a profound sadness, a sense of loss. The man who’d once been her mentor, her confidant, now looked at her with the eyes of someone who’d lost a piece of himself. The weight of time pressed down, not just on her shoulders, but on the space between them. The bar’s low hum, the distant clink of glasses, seemed to amplify the silence that stretched out, thick and unyielding. The past wasn’t just behind them; it was a living, breathing presence in the dim light of The Raven’s Nest.
created_at"2026-02-19T12:35:47.382Z" 2/19/2026, 12:35:47 PM
model"arcee-ai/trinity-mini-20251201"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency103
moderation_latency(null)
generation_time15102
tokens_prompt1094
tokens_completion2115
native_tokens_prompt939
native_tokens_completion1786
native_tokens_completion_images(null)
native_tokens_reasoning768
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"
usage0.000310155
router(null)
provider_responses
0
endpoint_id"73d82c49-90ae-4223-a860-83ed0810821f"
id"fcb7410712904245b54aae2c8c2d1502"
is_byokfalse
latency103
model_permaslug"arcee-ai/trinity-mini-20251201"
provider_name"Clarifai"
status200
api_type"completions"
id"gen-1771504547-bqGimpGqfxSZoBBQOcF2"
upstream_id"fcb7410712904245b54aae2c8c2d1502"
total_cost0.000310155
cache_discount(null)
upstream_inference_cost0
provider_name"Clarifai"

Evaluation details

Result Evaluator Details Meta Data
42.11% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags19
adverbTagCount3
adverbTags
0"she said flatly [flatly]"
1"She gestured vaguely [vaguely]"
2"He gestured vaguely [vaguely]"
dialogueSentences27
tagDensity0.704
leniency1
rawRatio0.158
effectiveRatio0.158
82.68% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount866
totalAiIsmAdverbs3
found
0
adverb"slightly"
count2
1
adverb"slowly"
count1
highlights
0"slightly"
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)
1.85% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount866
totalAiIsms17
found
0
word"pulse"
count1
1
word"chill"
count1
2
word"scanned"
count1
3
word"familiar"
count2
4
word"etched"
count1
5
word"carried the weight"
count1
6
word"unreadable"
count1
7
word"echoed"
count1
8
word"clandestine"
count1
9
word"whisper"
count1
10
word"unspoken"
count1
11
word"flicker"
count1
12
word"profound"
count1
13
word"sense of"
count1
14
word"weight"
count1
15
word"silence"
count1
highlights
0"pulse"
1"chill"
2"scanned"
3"familiar"
4"etched"
5"carried the weight"
6"unreadable"
7"echoed"
8"clandestine"
9"whisper"
10"unspoken"
11"flicker"
12"profound"
13"sense of"
14"weight"
15"silence"
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
narrationSentences49
matches
0"a sense of loss"
84.55% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount2
narrationSentences49
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences56
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen32
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords1
totalWords859
ratio0.001
matches
0"have"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions21
wordCount690
uniqueNames16
maxNameDensity0.43
worstName"Silas"
maxWindowNameDensity1
worstWindowName"Rory"
discoveredNames
Raven2
Nest2
Soho1
Carter1
Rory2
Yu-Fei1
Cheung1
Golden1
Empress1
Eva1
You1
Silas3
Blackwood1
Evan1
London1
Irish1
persons
0"Raven"
1"Nest"
2"Carter"
3"Rory"
4"Yu-Fei"
5"Cheung"
6"Empress"
7"Eva"
8"Silas"
9"Blackwood"
10"Evan"
places
0"Soho"
1"London"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences43
glossingSentenceCount0
matches(empty)
0.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches3
per1kWords3.492
wordCount859
matches
0"Not the sharp-suited, impeccably groomed man she remembered from university, but a figure draped in a worn tweed jacket, his grey-streaked au"
1"not just curiosity, but a profound sadness, a sense of loss"
2"not just on her shoulders, but on the space between them"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences56
matches
0"add that it"
58.52% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs12
mean71.58
std25.4
cv0.355
sampleLengths
0128
1101
250
351
450
571
657
765
859
958
1058
11111
98.10% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences49
matches
0"was, stung"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs107
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount1
flaggedSentences4
totalSentences56
ratio0.071
matches
0"Inside, the air hung thick with the scent of stale beer, damp wool, and something faintly metallic—like old coins."
1"She’d been avoiding this place for months, but Eva’s insistent texts—“You *have* to come down, Rory! Just one drink, promise?”—had worn her down."
2"She saw it then, the flicker of something in his eyes—not just curiosity, but a profound sadness, a sense of loss."
3"The past wasn’t just behind them; it was a living, breathing presence in the dim light of The Raven’s Nest."
98.49% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount695
adjectiveStacks0
stackExamples(empty)
adverbCount29
adverbRatio0.041726618705035974
lyAdverbCount12
lyAdverbRatio0.017266187050359712
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences56
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences56
mean15.34
std6.99
cv0.456
sampleLengths
022
119
222
328
423
514
69
730
821
913
1014
1114
1217
1321
1412
1511
166
1724
1810
1922
2022
216
2214
2313
2420
2510
2614
279
2825
293
3018
312
3221
333
347
3521
3613
376
3824
3921
408
417
428
4326
446
4511
4612
4713
4822
4911
62.50% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.42857142857142855
totalSentences56
uniqueOpeners24
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences47
matches(empty)
ratio0
32.77% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount22
totalSentences47
matches
0"She’d taken the night shift"
1"She’d been avoiding this place"
2"He wasn’t old, but he"
3"he murmured, his voice a"
4"He pushed himself upright, the"
5"He didn’t offer a hand,"
6"She blinked, the name rolling"
7"he replied, his eyes flicking"
8"She’d fled London, changed her"
9"she said flatly, forcing a"
10"She gestured vaguely towards the"
11"His tone wasn’t accusatory, just"
12"She flinched slightly, the memory"
13"She didn’t add that it"
14"He chuckled, a low, gravelly"
15"He gestured vaguely towards the"
16"He paused, studying her"
17"she said, her voice tight"
18"She instinctively pulled her sleeve"
19"His voice dropped, becoming a"
ratio0.468
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount44
totalSentences47
matches
0"The Raven’s Nest’s green neon"
1"Aurora Carter, or Rory, as"
2"She’d taken the night shift"
3"She’d been avoiding this place"
4"There, near the scarred oak"
5"A faint limp marked his"
6"The signet ring on his"
7"Time had etched lines around"
8"He wasn’t old, but he"
9"he murmured, his voice a"
10"He pushed himself upright, the"
11"He didn’t offer a hand,"
12"She blinked, the name rolling"
13"The word felt strange, distant"
14"The truth was, he looked"
15"The limp was new, a"
16"he replied, his eyes flicking"
17"A ghost of a smile"
18"The mention of Evan, her"
19"She’d fled London, changed her"
ratio0.936
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences47
matches
0"Now, blinking against the low,"
ratio0.021
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences24
technicalSentenceCount1
matches
0"The man who’d once been her mentor, her confidant, now looked at her with the eyes of someone who’d lost a piece of himself."
46.05% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags19
uselessAdditionCount3
matches
0"The word felt, distant"
1"she said, her voice tight"
2"He paused, his hazel eyes searching hers"
75.93% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount2
fancyTags
0"he murmured (murmur)"
1"She didn’t (do)"
dialogueSentences27
tagDensity0.185
leniency0.37
rawRatio0.4
effectiveRatio0.148
72.7844%