Run: 2026-02-17-01KHNFP5GMFQECRNZXSAX4G24X

Run Details

Duration:
12.8s
Cost:
$0.000326
Provider:
Clarifai

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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> 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.

Model response

AI
The green neon sign blinked sluggishly abovethe door of The Raven’s Nest, casting a sickly, artificial glow onto the wet pavement outside. Inside, the air hung thick with the smell of stale beer, fried onions, and something faintly metallic that might have been old wood or something worse. The low hum of the jukebox, playing a scratchy blues tune, was the only sound besides the occasional clink of glasses and the muffled murmur of voices from the back. Aurora Carter, or Rory, as her friends still called her, pushed open the heavy door, the scent hitting her like a physical wave. She’d been delivering for Yu-Fei Cheung’s Golden Empress for three years now, but the memory of this place, of Silas, felt like a ghost she’d thought she’d laid to rest. She’d been scanning the familiar, slightly grimy booths and the worn leather stools at the polished mahogany bar, looking for any sign of the man who’d been her anchor in a world that had suddenly gone sideways. Her own life had become a series of deliveries, a flat above Silas’s bar, a quiet existence far removed from the pre-law lectures she’d fled Cardiff for. She’d changed, yes, but the core, the sharp, quick mind that had once plotted escape routes and legal loopholes, was still there, buried under the routine. She’d thought she’d left the past behind, but here it was, sitting at the bar, nursing a glass of something amber, his grey-streaked auburn hair neatly combed, the faint limp in his step as he turned to face her. “Rory?” His voice, low and gravelly, cut through the blues. “Is that you? Looks like you’ve traded the courtroom for the delivery van.” She blinked, the name rolling off her tongue like a foreign word. “Silas.” The word felt heavy, laden with years. She pushed her straight, shoulder-length black hair back from her forehead, the crescent scar on her left wrist catching the dim light. “Long time, no see.” Her voice was cool, practiced, the same quick-thinking edge she’d always had, but it sounded hollow even to her own ears. She took a seat on the stool beside him, the worn leather creaking under her weight. The bar smelled of him still, of old wood and something sharp beneath it. He turned fully, his hazel eyes, sharp and assessing, taking her in. The years were etched deeper now, around his eyes and mouth, but the quiet authority was still there, radiating from him like heat. He nodded slowly, a ghost of a smile touching his lips. “You look… different. Less like the girl who’d argue with me about the ethics of surveillance until two in the morning, more like someone who’s learned to blend in.” He gestured to the glass in front of her. “Another delivery run? Or just stopping by to see the old man?” “Just stopping by,” she said, her gaze drifting to the worn maps on the wall, the black-and-white photos of faces she didn’t recognize. “I was passing, thought I’d see if the legend still lived.” The lie tasted bitter. She hadn’t come for him; she’d come for the ghost of who she’d been, for the weight of the life she’d left behind. Silas Blackwood, the Spymaster, the man who’d taught her to read people like open books, to see the lies beneath the surface, watched her carefully. The limp in his left leg was more pronounced now, a subtle shift in his weight as he shifted on the stool. He knew the score; he’d seen the change in her, the way she moved, the guarded look in her eyes. “You’ve changed, Rory. Not just the hair, not just the job. You’ve become… quieter. More careful.” He took a slow sip of his drink, the amber liquid catching the neon light. “What happened? Cardiff to London, then what? Running from something?” The question hung in the air, thick and unspoken. She’d left Cardiff because of Evan, the abusive ex, but the truth was more tangled, more painful. She’d left because she’d realized the life she’d been building, the life Silas had tried to warn her about, wasn’t the life she wanted. She’d fled to London, to Silas’s bar, to disappear into the background, to become someone else. “I… found something else to fight for,” she said finally, her voice low. “Something more immediate.” She gestured vaguely towards the door, towards the deliveries, the quiet flat above. “It’s… different, but it’s mine.” Silas nodded, understanding flickering in his eyes. He knew the weight of responsibility, the burden of choices made. “Different, yes. But is it… better?” His voice was gentle, but the question cut deep. He saw the ghost of the sharp, ambitious Rory in her eyes, the one who’d once dreamed of changing the world from the inside. Now she was just… delivering. “You used to talk about changing things, about making a difference. Now you’re just… moving boxes.” The accusation, soft as it was, struck a nerve. The unspoken regret, the life she’d walked away from, the potential she’d buried beneath the routine, surged up. “I am making a difference,” she insisted, her voice rising slightly. “Every delivery I make, every person I help get their food, it’s… it’s something. It’s real.” She looked away, staring at the bar’s worn surface, the green neon sign pulsing like a heartbeat. “It’s quieter. Less… messy.” Silas leaned forward slightly, his grey-streaked hair catching the light. “Messy is sometimes necessary, Rory. Running from Evan, running from Cardiff… that was messy. But this?” He tapped the bar in front of her. “This quiet? This hiding? That’s a different kind of mess. A mess you’re making for yourself.” He saw the flicker of pain in her eyes, the ghost of the girl who’d once been unafraid. “You’re not just delivering food, are you? You’re delivering yourself, piece by piece, to a life you don’t recognize anymore.” The words hung between them, charged with the years and the choices. The blues song ended, replaced by the scratchy sound of a new record starting. Outside, the rain began to fall again, a soft, persistent patter against the window. Inside, the silence was thick, filled with the weight of who they’d been and who they’d become, the unspoken regret a tangible presence in the dim light of The Raven’s Nest.
created_at"2026-02-17T09:42:59.533133+00:00" 2/17/2026, 9:42:59 AM
model"arcee-ai/trinity-mini-20251201"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency99
moderation_latency(null)
generation_time12715
tokens_prompt867
tokens_completion2253
native_tokens_prompt777
native_tokens_completion1937
native_tokens_completion_images(null)
native_tokens_reasoning633
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"
usage0.000325515
router(null)
provider_responses
0
id"cf501cdea2c24751afc7e5da53a8930f"
status200
is_byokfalse
latency99
endpoint_id"73d82c49-90ae-4223-a860-83ed0810821f"
provider_name"Clarifai"
model_permaslug"arcee-ai/trinity-mini-20251201"
api_type"completions"
id"gen-1771321366-gxgpP3sNhwX4oPmrq5jO"
upstream_id"cf501cdea2c24751afc7e5da53a8930f"
total_cost0.000325515
cache_discount(null)
upstream_inference_cost0
provider_name"Clarifai"

Evaluation details

Result Evaluator Details Meta Data
0.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags12
adverbTagCount4
adverbTags
0"quick-thinking edge she’d always [always]"
1"she said finally [finally]"
2"She gestured vaguely [vaguely]"
3"She looked away [away]"
dialogueSentences21
tagDensity0.571
leniency1
rawRatio0.333
effectiveRatio0.333
71.80% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1064
totalAiIsmAdverbs6
found
0
adverb"slightly"
count3
1
adverb"suddenly"
count1
2
adverb"slowly"
count1
3
adverb"carefully"
count1
highlights
0"slightly"
1"suddenly"
2"slowly"
3"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)
24.81% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1064
totalAiIsms16
found
0
word"scanning"
count1
1
word"familiar"
count1
2
word"weight"
count5
3
word"etched"
count1
4
word"unspoken"
count3
5
word"potential"
count1
6
word"flicker"
count1
7
word"charged"
count1
8
word"silence"
count1
9
word"tangible"
count1
highlights
0"scanning"
1"familiar"
2"weight"
3"etched"
4"unspoken"
5"potential"
6"flicker"
7"charged"
8"silence"
9"tangible"
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
narrationSentences50
matches(empty)
85.71% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount2
narrationSentences50
filterMatches(empty)
hedgeMatches
0"tried to"
1"began to"
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
maxSentenceWordsSeen40
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1057
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
totalMentions24
wordCount843
uniqueNames14
maxNameDensity0.83
worstName"Silas"
maxWindowNameDensity2
worstWindowName"Silas"
discoveredNames
Raven2
Nest2
Carter1
Rory2
Yu-Fei1
Cheung1
Golden1
Empress1
Silas7
Cardiff2
Blackwood1
Spymaster1
Evan1
London1
persons
0"Raven"
1"Nest"
2"Carter"
3"Rory"
4"Yu-Fei"
5"Cheung"
6"Silas"
7"Blackwood"
8"Evan"
places
0"Cardiff"
1"London"
globalScore1
windowScore1
96.81% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences47
glossingSentenceCount1
matches
0"felt like a ghost she’d thought she’d l"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1057
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences57
matches(empty)
49.51% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs12
mean88.08
std28.48
cv0.323
sampleLengths
0131
1129
223
397
496
561
6108
7100
878
975
1088
1171
91.23% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences50
matches
0"were etched"
1"was, struck"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs136
matches
0"was, sitting"
42.61% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount2
flaggedSentences2
totalSentences57
ratio0.035
matches
0"She hadn’t come for him; she’d come for the ghost of who she’d been, for the weight of the life she’d left behind."
1"He knew the score; he’d seen the change in her, the way she moved, the guarded look in her eyes."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount850
adjectiveStacks0
stackExamples(empty)
adverbCount30
adverbRatio0.03529411764705882
lyAdverbCount15
lyAdverbRatio0.01764705882352941
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
mean18.54
std9.09
cv0.49
sampleLengths
022
126
230
323
430
537
627
726
839
910
1013
1112
128
1322
1425
1516
1614
1712
1823
1911
2038
2112
2223
2315
2423
2525
2622
2720
2831
2910
309
3117
3224
3316
3413
3516
365
377
3811
3915
4024
414
421
4316
449
4518
4611
4733
484
4910
59.65% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.42105263157894735
totalSentences57
uniqueOpeners24
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences49
matches(empty)
ratio0
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount29
totalSentences49
matches
0"She’d been delivering for Yu-Fei"
1"She’d been scanning the familiar,"
2"Her own life had become"
3"She’d changed, yes, but the"
4"She’d thought she’d left the"
5"His voice, low and gravelly,"
6"She blinked, the name rolling"
7"She pushed her straight, shoulder-length"
8"Her voice was cool, practiced,"
9"She took a seat on"
10"He turned fully, his hazel"
11"He nodded slowly, a ghost"
12"He gestured to the glass"
13"she said, her gaze drifting"
14"She hadn’t come for him;"
15"He knew the score; he’d"
16"He took a slow sip"
17"She’d left Cardiff because of"
18"She’d left because she’d realized"
19"She’d fled to London, to"
ratio0.592
0.82% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount45
totalSentences49
matches
0"The green neon sign blinked"
1"The low hum of the"
2"Aurora Carter, or Rory, as"
3"She’d been delivering for Yu-Fei"
4"She’d been scanning the familiar,"
5"Her own life had become"
6"She’d changed, yes, but the"
7"She’d thought she’d left the"
8"His voice, low and gravelly,"
9"She blinked, the name rolling"
10"The word felt heavy, laden"
11"She pushed her straight, shoulder-length"
12"Her voice was cool, practiced,"
13"She took a seat on"
14"The bar smelled of him"
15"He turned fully, his hazel"
16"The years were etched deeper"
17"He nodded slowly, a ghost"
18"He gestured to the glass"
19"she said, her gaze drifting"
ratio0.918
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences49
matches
0"Now she was just…"
ratio0.02
73.73% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences31
technicalSentenceCount3
matches
0"She’d been scanning the familiar, slightly grimy booths and the worn leather stools at the polished mahogany bar, looking for any sign of the man who’d been her…"
1"She’d changed, yes, but the core, the sharp, quick mind that had once plotted escape routes and legal loopholes, was still there, buried under the routine."
2"Silas Blackwood, the Spymaster, the man who’d taught her to read people like open books, to see the lies beneath the surface, watched her carefully."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount4
matches
0"He took, the amber liquid catching the neon light"
1"she said finally, her voice low"
2"she insisted, her voice rising slightly"
3"He saw, the ghost of the girl who’d once been unafraid"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount1
fancyTags
0"she insisted (insist)"
dialogueSentences21
tagDensity0.143
leniency0.286
rawRatio0.333
effectiveRatio0.095
73.2228%