Run: 2026-02-20-01KHYAW8X764B9KCQHEQ35T13Q

Run Details

Duration:
3.7s
Cost:
$0.000192
Provider:
Mistral

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 Raven’s Nest hummed with the kind of quiet energy that only comes from a place where secrets linger like smoke in the air. The neon green sign above the door pulsed faintly, casting a sickly green glow over the dimly lit space. Aurora Carter—Rory, as she preferred—stood at the bar, her fingers tracing the rim of her glass as she watched the door. She hadn’t been here in years. Not since she’d left London after Evan, not since she’d fled the weight of her own life. Then the door swung open. Silas Blackwood stepped inside, his presence like a shadow slipping into the light. He moved with the slow, deliberate grace of someone who had spent too many years watching others move too quickly. His grey-streaked auburn hair was neatly combed, his beard trimmed just so, but his eyes—hazel, sharp as a blade—locked onto hers across the bar. A beat of silence stretched between them, thick with the unspoken weight of years. “You remember me,” he said, his voice low, rough with something like amusement. Rory didn’t flinch. She didn’t need to. She knew him well enough to recognize the way his lips curled just enough to hide the smirk beneath. “Of course I remember you,” she replied, her voice steady despite the way her pulse jumped in her throat. “You’re the one who told me to leave Cardiff.” Silas exhaled through his nose, a sound that might have been a laugh if it weren’t so weary. “And you listened.” She turned her glass in her hands, the ice clinking against the stem. “I had to.” The bar fell silent again, the only sound the occasional murmur of voices from the other end. Silas leaned against the counter, his signet ring catching the light as he shifted his weight. “You look different.” Rory’s fingers tightened around the glass. “So do you.” He studied her for a long moment, his gaze lingering on the small crescent scar on her left wrist—the one she’d gotten as a kid, from a bike accident. “Still the same Rory,” he said finally. “Same sharp mind, same stubborn streak.” “And you’re still the same Silas,” she countered, though the words tasted bitter. “Same way of looking at things.” Silas’s lips twitched. “You’re not the same.” She didn’t deny it. She hadn’t been. Not since she’d left London, not since she’d taken the job at the restaurant, not since she’d moved into the flat above Silas’s bar. She worked nights, delivering food to offices and apartments, her hands always sweaty, her mind racing with the weight of what she’d left behind. Evan had been a mistake, but it wasn’t just him she’d run from. It was the life she’d thought she wanted, the one that had led her to a pre-law degree she’d barely finished, to a city she’d barely survived. Silas watched her, his expression unreadable. “You’re not the same,” he repeated, softer this time. “You’re better.” Rory’s jaw tightened. “I don’t know about that.” “You do,” he said, stepping closer. The bar was small, the space between them tight. “You’re the one who’s always been better at this.” She didn’t answer. She didn’t have to. The words hung between them, heavy with the years they’d spent apart, with the things they’d both said and left unsaid. Silas reached into his pocket and pulled out a cigarette, offering it to her. She didn’t take it. “You still smoke,” she observed. “Still,” he said, lighting it with a match that flared and died. “Still think you’re the only one who can see the way things are.” Rory exhaled a slow breath, her fingers stilling on the glass. “I don’t know if I can anymore.” Silas studied her for a long moment, his gaze darkening. “You always could.” She looked away, toward the wall where the old maps and photographs hung, their edges faded with time. “I tried.” “You always tried,” he said, softer now. “But you didn’t always succeed.” The words hit her like a punch. She’d failed. Not just at leaving Evan, not just at leaving Cardiff, but at leaving *herself*. She’d spent years running, and in the end, she’d just ended up here, in this bar, with this man who knew her better than anyone. Silas watched her, his expression unreadable. “You’re not alone in this,” he said finally. “Not anymore.” Rory didn’t answer. She didn’t have to. The silence between them was enough. The bar was quiet, the only sound the occasional clink of glasses, the distant murmur of voices. Silas leaned back against the counter, his limp a quiet reminder of the life he’d left behind. Rory stood there, her hands still wrapped around the glass, her mind racing with the weight of what they’d just said. She was tired. She was done running. And for the first time in years, she wasn’t sure she wanted to go home.
created_at"2026-02-20T20:11:53.137Z" 2/20/2026, 8:11:53 PM
model"mistralai/ministral-3b-2512"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency225
moderation_latency(null)
generation_time3348
tokens_prompt867
tokens_completion1285
native_tokens_prompt826
native_tokens_completion1092
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached384
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"
usage0.0001918
router(null)
provider_responses
0
endpoint_id"b9f6828f-aef9-498a-91f5-6816fbf72420"
id"e735099d740f45808930965957fb51ec"
is_byokfalse
latency225
model_permaslug"mistralai/ministral-3b-2512"
provider_name"Mistral"
status200
api_type"completions"
id"gen-1771618313-BxQWMMISjMhccJ6tgPFP"
upstream_id"e735099d740f45808930965957fb51ec"
total_cost0.0001918
cache_discount(null)
upstream_inference_cost0
provider_name"Mistral"

Evaluation details

Result Evaluator Details Meta Data
51.85% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags10
adverbTagCount2
adverbTags
0"he said finally [finally]"
1"he said finally [finally]"
dialogueSentences27
tagDensity0.37
leniency0.741
rawRatio0.2
effectiveRatio0.148
93.92% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount823
totalAiIsmAdverbs1
found
0
adverb"quickly"
count1
highlights
0"quickly"
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)
2.79% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount823
totalAiIsms16
found
0
word"pulsed"
count1
1
word"tracing"
count1
2
word"weight"
count5
3
word"silence"
count2
4
word"unspoken"
count1
5
word"pulse"
count1
6
word"racing"
count2
7
word"unreadable"
count2
8
word"reminder"
count1
highlights
0"pulsed"
1"tracing"
2"weight"
3"silence"
4"unspoken"
5"pulse"
6"racing"
7"unreadable"
8"reminder"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences61
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences61
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences78
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen30
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords1
totalWords817
ratio0.001
matches
0"herself"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions15
unquotedAttributions0
matches(empty)
78.16% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions27
wordCount696
uniqueNames9
maxNameDensity1.44
worstName"Silas"
maxWindowNameDensity2.5
worstWindowName"Silas"
discoveredNames
Raven1
Nest1
Carter1
Rory7
London2
Evan3
Blackwood1
Silas10
Cardiff1
persons
0"Raven"
1"Nest"
2"Carter"
3"Rory"
4"Evan"
5"Blackwood"
6"Silas"
places
0"London"
1"Cardiff"
globalScore0.782
windowScore0.833
87.50% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences40
glossingSentenceCount1
matches
0"something like amusement"
0.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches2
per1kWords2.448
wordCount817
matches
0"Not just at leaving Evan, not just at leaving Cardiff, but at leaving *herself*"
1"not just at leaving Cardiff, but at leaving *herself*"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences78
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs29
mean28.17
std23.42
cv0.831
sampleLengths
087
15
271
313
454
521
616
736
89
942
1019
117
1295
1317
148
1524
1628
1723
1825
1918
2013
2120
2212
2348
2416
2513
2655
277
2815
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences61
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs125
matches(empty)
32.97% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences3
totalSentences78
ratio0.038
matches
0"Aurora Carter—Rory, as she preferred—stood at the bar, her fingers tracing the rim of her glass as she watched the door."
1"His grey-streaked auburn hair was neatly combed, his beard trimmed just so, but his eyes—hazel, sharp as a blade—locked onto hers across the bar."
2"He studied her for a long moment, his gaze lingering on the small crescent scar on her left wrist—the one she’d gotten as a kid, from a bike accident."
92.62% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount702
adjectiveStacks0
stackExamples(empty)
adverbCount34
adverbRatio0.04843304843304843
lyAdverbCount12
lyAdverbRatio0.017094017094017096
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences78
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences78
mean10.47
std7.34
cv0.701
sampleLengths
024
119
221
36
417
55
613
720
824
914
1013
113
124
1319
1419
159
1618
173
1813
193
2017
2116
223
236
243
2529
267
276
2813
296
303
314
324
333
3424
3524
3613
3727
386
399
402
413
425
436
449
459
463
474
4821
4914
39.74% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.2564102564102564
totalSentences78
uniqueOpeners20
56.50% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences59
matches
0"Then the door swung open."
ratio0.017
30.17% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount28
totalSentences59
matches
0"She hadn’t been here in"
1"He moved with the slow,"
2"His grey-streaked auburn hair was"
3"he said, his voice low,"
4"She didn’t need to."
5"She knew him well enough"
6"she replied, her voice steady"
7"She turned her glass in"
8"He studied her for a"
9"he said finally"
10"she countered, though the words"
11"She didn’t deny it."
12"She hadn’t been."
13"She worked nights, delivering food"
14"It was the life she’d"
15"he repeated, softer this time"
16"he said, stepping closer"
17"She didn’t answer."
18"She didn’t have to."
19"She didn’t take it."
ratio0.475
2.37% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount54
totalSentences59
matches
0"The Raven’s Nest hummed with"
1"The neon green sign above"
2"Aurora Carter—Rory, as she preferred—stood"
3"She hadn’t been here in"
4"Silas Blackwood stepped inside, his"
5"He moved with the slow,"
6"His grey-streaked auburn hair was"
7"A beat of silence stretched"
8"he said, his voice low,"
9"Rory didn’t flinch."
10"She didn’t need to."
11"She knew him well enough"
12"she replied, her voice steady"
13"Silas exhaled through his nose,"
14"She turned her glass in"
15"The bar fell silent again,"
16"Silas leaned against the counter,"
17"Rory’s fingers tightened around the"
18"He studied her for a"
19"he said finally"
ratio0.915
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences59
matches(empty)
ratio0
93.60% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences29
technicalSentenceCount2
matches
0"He moved with the slow, deliberate grace of someone who had spent too many years watching others move too quickly."
1"She worked nights, delivering food to offices and apartments, her hands always sweaty, her mind racing with the weight of what she’d left behind."
25.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags10
uselessAdditionCount2
matches
0"he said, his voice low, rough with something like amusement"
1"she countered, though the words tasted bitter"
75.93% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags9
fancyCount2
fancyTags
0"he repeated (repeat)"
1"she observed (observe)"
dialogueSentences27
tagDensity0.333
leniency0.667
rawRatio0.222
effectiveRatio0.148
72.1042%