Run: 2026-02-19-01KHTYKHTNWQ6WFCWYFWPA955T

Run Details

Duration:
7.5s
Cost:
$0.000267
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 smelled like old wood, stale beer, and something faintly metallic beneath it all. Aurora Carter, or Rory, as her friends still called her, pushed through the heavy oak door, the familiar green neon sign flickering above her head like a tired eye. She’d been here a thousand times, but tonight felt different. The weight of the delivery bag slung over her shoulder, the smell of fried rice and soy sauce clinging to her clothes, made her feel like an intruder in her own past. She scanned the low-ceilinged room, the walls lined with faded black-and-white photographs of faces she didn’t recognize, the air thick with the low murmur of voices and the clink of glasses. And then she saw him. Silas Blackwood, leaning against the bar, his grey-streaked auburn hair neatly combed, the silver signet ring catching the dim light from the neon sign. He looked older, the lines around his eyes sharper, deeper. A slight limp was more pronounced as he shifted his weight. He wasn’t looking at her, just staring into his half-empty glass, the amber liquid swirling slowly. Time had carved its mark on him, just as it had on her. She’d changed too, she realized, the sharp edges of her younger self smoothed by London’s relentless grind. The quick, out-of-the-box thinking that had once defined her felt buried under layers of caution now. She took a step closer, the worn soles of her shoes squeaking on the polished floor. “Silas?” Her voice was low, not quite a whisper, but carrying in the quieting bar. He didn’t turn immediately. She saw the slight tremor in his hand as he raised the glass to his lips. He took a slow sip, then finally, slowly, turned his head. His hazel eyes, once so sharp and observant, held a depth of weariness now. Recognition flickered across his face, followed by a flicker of something else – surprise, perhaps, or a shadow of regret. “Rory.” The name was a rasp in his throat, thick with disuse. “Long time.” He didn’t offer a smile, just pushed himself away from the bar with a grunt, the movement stiff. He walked towards her, the limp more pronounced, and stopped a few feet away, arms crossed over his chest. The signet ring glinted on his right hand. “You look… different.” “Same place, different face,” she replied, the old familiarity in her voice, but her eyes held a guarded intensity. “London does that. Adds a few layers.” She gestured vaguely at the bar, the worn stools, the faded maps. “Still running the Nest?” “Still standing,” he said, his gaze drifting over her, taking in the practical coat, the way she moved with a controlled grace. “Though the clientele’s changed. Fewer spies, more suits.” He paused, the silence stretching between them, thick and charged. “You’re working for Cheung now? Delivery? That’s… unexpected.” “Unexpected is my middle name,” she shot back, a ghost of her old wit surfacing. “Though ‘Rory’ might be closer. Cardiff’s too quiet. London’s noise keeps the ghosts at bay.” She saw the flicker of something in his eyes – a question, a memory. “You look… well. For a man who retired to a bar.” “Retirement’s a relative term,” he countered, his voice dropping to a near-whisper. “Some days, the bar feels like a prison. Other days, it’s the only place that feels like home.” He shifted, the limp a visible reminder of the past. “Prague still haunts me, Rory. Every time I close my eyes.” She didn’t flinch. “You always were haunted by the things you couldn’t change.” She took a step closer, the space between them charged. “What about you? What haunts you now?” He looked away, staring at the green neon sign, the light casting a sickly glow on his face. “Ghosts, Rory. Old ghosts.” He turned back to her, his eyes meeting hers, the hazel depths holding a storm. “I heard about Evan. The ex. I’m sorry.” The name hung in the air, heavy and cold. “Thanks,” she said, the words flat. “He’s gone. London’s full of them.” She saw the slight tightening of his jaw, the way his knuckles whitened on the bar. “You never came back for me.” The words were a knife, slicing through the carefully constructed distance. He flinched, the signet ring catching the light. “I couldn’t,” he said, his voice raw. “I was… buried. In Prague. In the mess. I thought… I thought you’d be safer without me.” He looked down, unable to meet her eyes. “I failed you, Rory. I failed everyone.” She stared at him, the years of silence, the unspoken regret, crashing down. The quick, out-of-the-box thinking that had once defined her warred with the weariness now. “You failed yourself first,” she said finally, her voice low but steady. “You always did.” She turned to leave, the weight of the past settling around her shoulders like a shroud. “Good to see you, Silas.” She didn’t wait for a response, pushing through the door into the damp London night, the neon sign flickering a final, indifferent green behind her.
created_at"2026-02-19T12:39:41.146Z" 2/19/2026, 12:39:41 PM
model"arcee-ai/trinity-mini-20251201"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency632
moderation_latency(null)
generation_time7407
tokens_prompt1094
tokens_completion1753
native_tokens_prompt939
native_tokens_completion1495
native_tokens_completion_images(null)
native_tokens_reasoning446
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"
usage0.000266505
router(null)
provider_responses
0
endpoint_id"73d82c49-90ae-4223-a860-83ed0810821f"
id"f747d4f404154dd0a1185239486a7282"
is_byokfalse
latency631
model_permaslug"arcee-ai/trinity-mini-20251201"
provider_name"Clarifai"
status200
api_type"completions"
id"gen-1771504781-yQVFdXXHn6kFb8YLHa9k"
upstream_id"f747d4f404154dd0a1185239486a7282"
total_cost0.000266505
cache_discount(null)
upstream_inference_cost0
provider_name"Clarifai"

Evaluation details

Result Evaluator Details Meta Data
33.33% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags18
adverbTagCount3
adverbTags
0"She gestured vaguely [vaguely]"
1"He turned back [back]"
2"she said finally [finally]"
dialogueSentences29
tagDensity0.621
leniency1
rawRatio0.167
effectiveRatio0.167
82.39% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount852
totalAiIsmAdverbs3
found
0
adverb"slowly"
count2
1
adverb"carefully"
count1
highlights
0"slowly"
1"carefully"
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)
0.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount852
totalAiIsms19
found
0
word"familiar"
count1
1
word"weight"
count3
2
word"scanned"
count1
3
word"whisper"
count2
4
word"flickered"
count1
5
word"flicker"
count2
6
word"intensity"
count1
7
word"silence"
count2
8
word"charged"
count2
9
word"reminder"
count1
10
word"depths"
count1
11
word"constructed"
count1
12
word"unspoken"
count1
highlights
0"familiar"
1"weight"
2"scanned"
3"whisper"
4"flickered"
5"flicker"
6"intensity"
7"silence"
8"charged"
9"reminder"
10"depths"
11"constructed"
12"unspoken"
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
emotionTells0
narrationSentences48
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences48
filterMatches
0"feel"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences57
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen34
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords848
ratio0
matches(empty)
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
totalMentions7
wordCount664
uniqueNames6
maxNameDensity0.3
worstName"London"
maxWindowNameDensity0.5
worstWindowName"London"
discoveredNames
Raven1
Nest1
Carter1
Rory1
Blackwood1
London2
persons
0"Raven"
1"Nest"
2"Carter"
3"Rory"
4"Blackwood"
places
0"London"
globalScore1
windowScore1
33.72% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences43
glossingSentenceCount2
matches
0"smelled like old wood, stale beer, and som"
1"not quite a whisper, but carrying in the quieting bar"
82.08% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords1.179
wordCount848
matches
0"not quite a whisper, but carrying in the quieting bar"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences57
matches(empty)
83.17% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs13
mean65.23
std28.77
cv0.441
sampleLengths
0123
1123
280
362
442
548
655
751
830
945
1043
1158
1288
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences48
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs92
matches
0"wasn’t looking"
42.61% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences2
totalSentences57
ratio0.035
matches
0"Recognition flickered across his face, followed by a flicker of something else – surprise, perhaps, or a shadow of regret."
1"“Though ‘Rory’ might be closer. Cardiff’s too quiet. London’s noise keeps the ghosts at bay.” She saw the flicker of something in his eyes – a question, a memory."
91.01% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount668
adjectiveStacks1
stackExamples
0"final, indifferent green behind her."
adverbCount29
adverbRatio0.04341317365269461
lyAdverbCount10
lyAdverbRatio0.014970059880239521
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences57
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences57
mean14.88
std7.46
cv0.502
sampleLengths
016
129
210
332
431
55
624
710
811
916
1013
1117
1216
1316
1415
154
1616
1711
1814
1920
2012
2120
2219
238
243
2519
2619
274
2822
2918
308
3115
3229
3311
3412
3528
3611
373
3820
397
4018
4119
428
439
446
4522
466
4711
488
497
69.01% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.45614035087719296
totalSentences57
uniqueOpeners26
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences48
matches(empty)
ratio0
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount34
totalSentences48
matches
0"She’d been here a thousand"
1"She scanned the low-ceilinged room,"
2"He looked older, the lines"
3"He wasn’t looking at her,"
4"She’d changed too, she realized,"
5"She took a step closer,"
6"Her voice was low, not"
7"He didn’t turn immediately."
8"She saw the slight tremor"
9"He took a slow sip,"
10"His hazel eyes, once so"
11"He didn’t offer a smile,"
12"He walked towards her, the"
13"she replied, the old familiarity"
14"She gestured vaguely at the"
15"he said, his gaze drifting"
16"He paused, the silence stretching"
17"she shot back, a ghost"
18"She saw the flicker of"
19"he countered, his voice dropping"
ratio0.708
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount47
totalSentences48
matches
0"The Raven’s Nest smelled like"
1"Aurora Carter, or Rory, as"
2"She’d been here a thousand"
3"The weight of the delivery"
4"She scanned the low-ceilinged room,"
5"Silas Blackwood, leaning against the"
6"He looked older, the lines"
7"A slight limp was more"
8"He wasn’t looking at her,"
9"Time had carved its mark"
10"She’d changed too, she realized,"
11"The quick, out-of-the-box thinking that"
12"She took a step closer,"
13"Her voice was low, not"
14"He didn’t turn immediately."
15"She saw the slight tremor"
16"He took a slow sip,"
17"His hazel eyes, once so"
18"Recognition flickered across his face,"
19"The name was a rasp"
ratio0.979
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences48
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences22
technicalSentenceCount0
matches(empty)
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags18
uselessAdditionCount5
matches
0"she shot back, a ghost of her old wit surfacing"
1"he countered, his voice dropping to a near-whisper"
2"he said, his voice raw"
3"He looked down, unable to meet her eyes"
4"she said finally, her voice low but steady"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount0
fancyTags(empty)
dialogueSentences29
tagDensity0.172
leniency0.345
rawRatio0
effectiveRatio0
70.5773%