Run: 2026-02-20-01KHYAAYYHH34D15GATYKFE4X7

Run Details

Duration:
4.5s
Cost:
$0.000195
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="4415" name="Lucien Moreau" aliases="Lucien, Luc, the Frenchman" pronouns="he/him" species="Half-Demon" storyRole="Ally"> <eyeColor>heterochromatic — one amber, one black</eyeColor> <hair>slicked-back platinum blond</hair> <height>5'11"</height> <age>32</age> <cane>ivory-handled cane that conceals a thin blade</cane> <dress>tailored charcoal suits</dress> <description>An impeccably dressed fixer and information broker in London's supernatural underworld. He speaks four languages fluently.</description> <backstory>Born in Marseille to a human mother and a demon father from the realm of Avaros.</backstory> </character> <location id="858" name="Eva's Flat" aliases="Eva's place, the flat on Brick Lane" realm="Earth"> <cat>tabby cat named Ptolemy</cat> <security>three deadbolts on the front door</security> <description>A cramped one-bedroom flat above a curry house on Brick Lane, East London. Every surface is covered with books, scrolls, and research notes.</description> </location> </codex> Write a fully fleshed out scene of at least 1000 words in the romance genre. Two people who parted on complicated terms are forced together again when one shows up unannounced at the other's flat. There's history between them — attraction, hurt, and things left unsaid. Write the scene from the moment the door opens. 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 brass knocker scraped against the door of Eva’s flat like a fingernail on glass, the sound sharp enough to cut through the hum of the city outside. Aurora Carter—Rory, to those who knew her well—hadn’t expected anyone. Not after what happened. Not after the way things ended. She stood in the narrow hallway, her fingers curled around the doorknob, her bright blue eyes flicking over the cluttered shelves of books and scrolls lining the walls. The flat smelled of old paper and something faintly metallic, like the air after a storm. The deadbolts were engaged, the lock clicked into place with a finality that made her stomach twist. She exhaled through her nose, the breath steady, controlled. *He’s not here.* But the knock came again, louder this time, the rhythm deliberate. *Knock knock.* Aurora’s pulse jumped. She hadn’t heard from Lucien Moreau in months. Not since the night he’d left without a word, without an explanation. She’d thought he’d moved on. That he’d found someone else. That he’d forgotten her entirely. The door creaked open before she could turn the knob. The light from the hallway spilled into the room, illuminating the way his dark hair fell over his forehead, the way his amber and black eyes locked onto hers with something unreadable. Lucien stood there, his tailored charcoal suit immaculate, his cane resting against his thigh, the ivory handle gleaming under the dim glow of the streetlamps outside. “Aurora,” he said, his voice low, smooth. “I didn’t expect to see you here.” She didn’t move. Didn’t reach for the door. “You didn’t expect to see me either.” A beat of silence. The kind that hung between them like a half-remembered dream. The kind that made her fingers twitch toward the scar on her wrist, the small crescent-shaped mark from a childhood accident, a reminder of the past she’d tried to bury. Lucien stepped inside, his presence filling the cramped space like a shadow. “You look… different.” Aurora turned her head slightly, her gaze sweeping over the flat. The bookshelves were still packed with tomes, the desk cluttered with notes and half-finished sketches. It was the same as always. “You look the same.” He smirked, the faintest hint of a smile playing at his lips. “I’ve been told that before.” She didn’t laugh. Didn’t smile back. Instead, she crossed her arms, her bright blue eyes narrowing. “What do you want, Lucien?” His expression darkened. “I want to know why you’re here.” “Because I’m not the only one who’s been waiting.” The words hung between them, heavy with unspoken things. The way he’d left her. The way she’d let him. The way neither of them had been ready to face the truth. Lucien exhaled sharply, his cane tapping against the floor as he moved closer. “You know why I’m here.” Aurora didn’t answer. She didn’t have to. The unspoken question hung in the air, thick and suffocating. “Eva,” he said, his voice a low growl. “She’s dead.” Aurora’s breath caught. Eva. Her childhood friend. The woman who’d pulled her out of Cardiff, who’d given her a place to stay, who’d been there when it all went wrong. Eva, who’d been the only one who’d believed in her. “Lucien,” she whispered, her voice breaking. “No.” He nodded, his expression grim. “She was found in the Thames. Her body was washed up near Tower Bridge. The police are still investigating, but they’ve ruled out natural causes. Someone killed her.” Aurora’s hands clenched into fists at her sides. “Who?” Lucien’s gaze was steady, unyielding. “I don’t know. But I think you do.” She turned away, her back to him, her mind racing. Eva. The flat. The books. The things she’d been working on. The things she’d been hiding. “Aurora,” Lucien said, his voice gentle. “Talk to me.” She didn’t look at him. “I can’t.” “You can’t because you’re afraid,” he said, his voice firm. “Or because you’re too stubborn to admit what you know.” Aurora’s shoulders shook. She wanted to scream. To run. To do anything but stand there, her bright blue eyes fixed on the floor, her mind racing with a thousand questions and a single, burning truth. “Lucien,” she said, her voice breaking. “I’m sorry.” He reached out, his fingers brushing against hers. “For what?” She looked up at him, her eyes filled with tears. “For everything.” Lucien’s expression softened. “You don’t have to apologize for everything.” Aurora pulled her hand away, her eyes darting around the room. “I don’t know what to do.” Lucien stepped closer, his voice low. “We’ll figure it out together.” Aurora turned to him, her bright blue eyes locked onto his. “You always do.” He smiled, the faintest hint of a smile that made her heart skip a beat. “I try.” The door clicked shut behind him, the sound echoing through the flat, sealing them in a moment of silence that was both heavy and light. Aurora stood there, her mind racing, her heart pounding. Lucien was back. And this time, she wasn’t running. She just had to figure out what to do with him.
created_at"2026-02-20T20:02:25.883Z" 2/20/2026, 8:02:25 PM
model"mistralai/ministral-3b-2512"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency226
moderation_latency(null)
generation_time4222
tokens_prompt808
tokens_completion1387
native_tokens_prompt772
native_tokens_completion1180
native_tokens_completion_images(null)
native_tokens_reasoning0
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"
usage0.0001952
router(null)
provider_responses
0
endpoint_id"b9f6828f-aef9-498a-91f5-6816fbf72420"
id"79ecaaef2f344516ba1c5203e2f5b2f6"
is_byokfalse
latency226
model_permaslug"mistralai/ministral-3b-2512"
provider_name"Mistral"
status200
api_type"completions"
id"gen-1771617745-n4FGRvbGFdsawEGCV7Cy"
upstream_id"79ecaaef2f344516ba1c5203e2f5b2f6"
total_cost0.0001952
cache_discount(null)
upstream_inference_cost0
provider_name"Mistral"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags6
adverbTagCount0
adverbTags(empty)
dialogueSentences31
tagDensity0.194
leniency0.387
rawRatio0
effectiveRatio0
88.29% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount854
totalAiIsmAdverbs2
found
0
adverb"slightly"
count1
1
adverb"sharply"
count1
highlights
0"slightly"
1"sharply"
100.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
18.03% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount854
totalAiIsms14
found
0
word"stomach"
count1
1
word"pulse"
count1
2
word"unreadable"
count1
3
word"gleaming"
count1
4
word"silence"
count2
5
word"reminder"
count1
6
word"unspoken"
count2
7
word"racing"
count3
8
word"echoing"
count1
9
word"pounding"
count1
highlights
0"stomach"
1"pulse"
2"unreadable"
3"gleaming"
4"silence"
5"reminder"
6"unspoken"
7"racing"
8"echoing"
9"pounding"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"clenched jaw/fists"
count1
1
label"hung in the air"
count1
highlights
0"clenched into fists"
1"hung in the air"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences79
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences79
filterMatches(empty)
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences104
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen32
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans2
markdownWords5
totalWords849
ratio0.006
matches
0"He’s not here."
1"Knock knock."
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
78.88% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions27
wordCount703
uniqueNames7
maxNameDensity1.42
worstName"Aurora"
maxWindowNameDensity2.5
worstWindowName"Aurora"
discoveredNames
Eva4
Carter1
Rory1
Aurora10
Lucien9
Moreau1
Cardiff1
persons
0"Eva"
1"Carter"
2"Rory"
3"Aurora"
4"Lucien"
5"Moreau"
places
0"Cardiff"
globalScore0.789
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences43
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount849
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences104
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs38
mean22.34
std16.27
cv0.728
sampleLengths
048
173
213
338
468
514
615
744
815
936
1017
1121
1210
139
1431
1518
1617
1710
1840
197
2033
219
2213
2326
249
257
2620
2735
288
2910
3012
3110
3217
3311
3414
3517
3643
3711
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences79
matches
0"were engaged"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs121
matches
0"wasn’t running"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences1
totalSentences104
ratio0.01
matches
0"Aurora Carter—Rory, to those who knew her well—hadn’t expected anyone."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount708
adjectiveStacks1
stackExamples
0"small crescent-shaped mark"
adverbCount22
adverbRatio0.031073446327683617
lyAdverbCount5
lyAdverbRatio0.007062146892655367
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences104
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences104
mean8.16
std6.95
cv0.851
sampleLengths
028
110
24
36
428
516
617
79
83
911
102
113
128
1312
145
155
165
1710
1832
1926
207
217
223
235
247
254
2610
2730
2812
293
3011
3115
326
334
3412
355
363
373
3810
395
403
417
429
439
445
455
4612
4713
485
493
38.46% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats12
diversityRatio0.2692307692307692
totalSentences104
uniqueOpeners28
45.66% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences73
matches
0"Instead, she crossed her arms,"
ratio0.014
83.01% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount25
totalSentences73
matches
0"She stood in the narrow"
1"She exhaled through her nose,"
2"*He’s not here.*"
3"She hadn’t heard from Lucien"
4"She’d thought he’d moved on."
5"he said, his voice low,"
6"She didn’t move."
7"It was the same as"
8"He smirked, the faintest hint"
9"She didn’t laugh."
10"His expression darkened."
11"She didn’t have to."
12"he said, his voice a"
13"Her childhood friend."
14"she whispered, her voice breaking"
15"He nodded, his expression grim."
16"She turned away, her back"
17"She didn’t look at him."
18"he said, his voice firm"
19"She wanted to scream."
ratio0.342
21.64% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount64
totalSentences73
matches
0"The brass knocker scraped against"
1"Aurora Carter—Rory, to those who"
2"She stood in the narrow"
3"The flat smelled of old"
4"The deadbolts were engaged, the"
5"She exhaled through her nose,"
6"*He’s not here.*"
7"Aurora’s pulse jumped."
8"She hadn’t heard from Lucien"
9"She’d thought he’d moved on."
10"That he’d found someone else."
11"That he’d forgotten her entirely."
12"The door creaked open before"
13"The light from the hallway"
14"Lucien stood there, his tailored"
15"he said, his voice low,"
16"She didn’t move."
17"A beat of silence."
18"The kind that hung between"
19"The kind that made her"
ratio0.877
68.49% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences73
matches
0"To do anything but stand"
ratio0.014
71.43% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences30
technicalSentenceCount3
matches
0"The kind that hung between them like a half-remembered dream."
1"The kind that made her fingers twitch toward the scar on her wrist, the small crescent-shaped mark from a childhood accident, a reminder of the past she’d tried…"
2"The door clicked shut behind him, the sound echoing through the flat, sealing them in a moment of silence that was both heavy and light."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags6
uselessAdditionCount6
matches
0"he said, his voice low, smooth"
1"he said, his voice a low growl"
2"she whispered, her voice breaking"
3"Lucien said, his voice gentle"
4"he said, his voice firm"
5"she said, her voice breaking"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount1
fancyTags
0"she whispered (whisper)"
dialogueSentences31
tagDensity0.194
leniency0.387
rawRatio0.167
effectiveRatio0.065
82.4856%