Run: 2026-02-20-01KHY9AC3ZDM9NZ35C82TDSHDY

Run Details

Duration:
3.3s
Cost:
$0.000174
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 front door of Eva’s flat groaned open under the weight of a man who didn’t belong there. Aurora Carter froze mid-step, her breath catching as Lucien Moreau stepped inside, his tailored charcoal suit clinging to his frame like a second skin. The scent of old parchment and something faintly metallic—like the air before a storm—wrapped around her. She’d been expecting him for weeks, but not like this. “You’re late,” she said, voice sharper than she intended. Lucien didn’t look at her. Instead, he moved past her, his cane tapping against the worn linoleum with deliberate precision. The flat smelled of dried herbs and the faint tang of his own cologne, something expensive and dark. He stopped at the window, pressing his fingers against the glass to let in the dim London afternoon light. His heterochromatic eyes—one amber, one black—gleamed at her over his shoulder. “You didn’t have to come,” she said, though she knew better than to let the words hang. “You didn’t have to send the message,” he countered, turning to face her. “But you did.” Aurora exhaled through her nose, rubbing the small crescent scar on her left wrist where the memory of a childhood accident still stung. She’d been twelve when it happened, and the pain hadn’t faded. Not yet. “You know why I’m here,” she said, her voice low. “I’m not here to apologize.” Lucien’s lips curved, just a fraction, before he straightened. “Then you’re wasting your time.” “Maybe,” she admitted, stepping closer. “But I’m here because I’m done running.” He didn’t move. Just stood there, watching her, as if waiting for her to say something else. The air between them thickened, charged with the weight of years—of stolen glances, of whispered promises, of unspoken things. “You were supposed to be in Paris,” she said suddenly. “Not here.” Lucien’s jaw tightened. “And you were supposed to be in Cardiff.” “Eva’s been sick,” she said, her fingers tightening around the edge of the coffee table. “She needs me.” Lucien’s expression darkened. “I know.” A beat of silence. The flat was too quiet, too still. Then, slowly, he turned back to the window, his cane resting against the sill. “You should’ve told me.” “You didn’t ask,” she said, her voice quieter now. “And I didn’t owe you that.” He didn’t answer. Instead, he reached into his coat and pulled out a small, leather-bound book. The kind of book that wasn’t just a book—it was a weapon, a record, a thing of power. He held it up, the ivory handle of his cane glinting in the light. “You’re not leaving until you tell me what’s really going on,” he said. Aurora’s breath hitched. “What do you mean?” Lucien didn’t look away. “You’ve been hiding something. And I’m not going to let you.” The flat felt smaller now, the space between them tighter. She could feel the heat of his gaze, the way his presence alone seemed to warp the air around her. She’d been so careful, so careful to keep things between them from getting too close. But now, standing here, she wondered if she’d ever been able to keep them apart. “You’re not the only one who’s been running,” she said, her voice barely above a whisper. Lucien’s eyes darkened. “Then let’s stop.” The door behind her creaked open. A shadowy figure stepped inside, their silhouette too tall, too familiar. Aurora’s pulse spiked. “Aurora,” Eva said, her voice trembling. “I’m sorry.” Lucien’s gaze snapped toward the door, his expression unreadable. Then, without a word, he turned and walked out, the door slamming behind him. Aurora stood frozen, her hands clenched into fists. Eva’s flat was too quiet without him. Too empty. “He’s not going to stay,” she said, her voice breaking. “Not after what he saw.” Eva’s eyes were red-rimmed, her usual sharpness dulled. “I know.” Aurora turned away, her back to the door, and pressed her fingers to her temples. The weight of the past few minutes pressed down on her, heavy and suffocating. She’d come here to fix things, to make things right. But Lucien Moreau had other plans. And she wasn’t sure she could keep up.
created_at"2026-02-20T19:44:38.027Z" 2/20/2026, 7:44:38 PM
model"mistralai/ministral-3b-2512"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency208
moderation_latency(null)
generation_time2563
tokens_prompt808
tokens_completion1140
native_tokens_prompt772
native_tokens_completion969
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"
usage0.0001741
router(null)
provider_responses
0
endpoint_id"b9f6828f-aef9-498a-91f5-6816fbf72420"
id"1743bb8d55a249a69bac94e8a6a73e34"
is_byokfalse
latency208
model_permaslug"mistralai/ministral-3b-2512"
provider_name"Mistral"
status200
api_type"completions"
id"gen-1771616678-Byrn9qqtaCL4F4PXOttZ"
upstream_id"1743bb8d55a249a69bac94e8a6a73e34"
total_cost0.0001741
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
totalTags12
adverbTagCount1
adverbTags
0"she said suddenly [suddenly]"
dialogueSentences28
tagDensity0.429
leniency0.857
rawRatio0.083
effectiveRatio0.071
71.43% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount700
totalAiIsmAdverbs4
found
0
adverb"suddenly"
count1
1
adverb"slowly"
count1
2
adverb"really"
count1
3
adverb"barely above a whisper"
count1
highlights
0"suddenly"
1"slowly"
2"really"
3"barely above a whisper"
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)
14.29% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount700
totalAiIsms12
found
0
word"weight"
count3
1
word"charged"
count1
2
word"unspoken"
count1
3
word"silence"
count1
4
word"glinting"
count1
5
word"could feel"
count1
6
word"whisper"
count1
7
word"familiar"
count1
8
word"pulse"
count1
9
word"unreadable"
count1
highlights
0"weight"
1"charged"
2"unspoken"
3"silence"
4"glinting"
5"could feel"
6"whisper"
7"familiar"
8"pulse"
9"unreadable"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"clenched jaw/fists"
count1
highlights
0"clenched into fists"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences58
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences58
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences74
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen25
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords692
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions14
unquotedAttributions0
matches(empty)
69.93% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions23
wordCount562
uniqueNames6
maxNameDensity1.6
worstName"Lucien"
maxWindowNameDensity2
worstWindowName"Lucien"
discoveredNames
Eva4
Carter1
Lucien9
Moreau2
London1
Aurora6
persons
0"Eva"
1"Carter"
2"Lucien"
3"Moreau"
4"Aurora"
places
0"London"
globalScore0.699
windowScore1
87.50% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences40
glossingSentenceCount1
matches
0"as if waiting for her to say something else"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount692
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences74
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs31
mean22.32
std17.6
cv0.788
sampleLengths
068
19
268
317
416
536
615
714
812
936
1012
1111
1218
135
1429
1515
1648
1713
187
1915
2060
2116
226
2320
248
2523
2617
2715
2810
2945
308
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences58
matches(empty)
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
emDashCount6
semicolonCount0
flaggedSentences4
totalSentences74
ratio0.054
matches
0"The scent of old parchment and something faintly metallic—like the air before a storm—wrapped around her."
1"His heterochromatic eyes—one amber, one black—gleamed at her over his shoulder."
2"The air between them thickened, charged with the weight of years—of stolen glances, of whispered promises, of unspoken things."
3"The kind of book that wasn’t just a book—it was a weapon, a record, a thing of power."
82.95% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount570
adjectiveStacks1
stackExamples
0"small, leather-bound book."
adverbCount30
adverbRatio0.05263157894736842
lyAdverbCount4
lyAdverbRatio0.007017543859649123
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences74
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences74
mean9.35
std5.69
cv0.609
sampleLengths
018
124
216
310
49
55
615
718
819
911
1017
1113
123
1323
1411
152
1610
175
189
195
205
217
223
2314
2419
2510
262
273
288
2915
303
313
322
334
347
3514
364
379
386
393
4013
4118
4214
4313
443
454
464
4711
4810
4920
44.59% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.25675675675675674
totalSentences74
uniqueOpeners19
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount5
totalSentences55
matches
0"Instead, he moved past her,"
1"Just stood there, watching her,"
2"Then, slowly, he turned back"
3"Instead, he reached into his"
4"Then, without a word, he"
ratio0.091
74.55% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount20
totalSentences55
matches
0"She’d been expecting him for"
1"she said, voice sharper than"
2"He stopped at the window,"
3"His heterochromatic eyes—one amber, one"
4"she said, though she knew"
5"he countered, turning to face"
6"She’d been twelve when it"
7"she said, her voice low"
8"she admitted, stepping closer"
9"He didn’t move."
10"she said suddenly"
11"she said, her fingers tightening"
12"she said, her voice quieter"
13"He didn’t answer."
14"He held it up, the"
15"She could feel the heat"
16"She’d been so careful, so"
17"she said, her voice barely"
18"she said, her voice breaking"
19"She’d come here to fix"
ratio0.364
32.73% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount47
totalSentences55
matches
0"The front door of Eva’s"
1"Aurora Carter froze mid-step, her"
2"The scent of old parchment"
3"She’d been expecting him for"
4"she said, voice sharper than"
5"Lucien didn’t look at her."
6"The flat smelled of dried"
7"He stopped at the window,"
8"His heterochromatic eyes—one amber, one"
9"she said, though she knew"
10"he countered, turning to face"
11"Aurora exhaled through her nose,"
12"She’d been twelve when it"
13"she said, her voice low"
14"Lucien’s lips curved, just a"
15"she admitted, stepping closer"
16"He didn’t move."
17"The air between them thickened,"
18"she said suddenly"
19"Lucien’s jaw tightened."
ratio0.855
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences55
matches(empty)
ratio0
85.71% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences25
technicalSentenceCount2
matches
0"Aurora Carter froze mid-step, her breath catching as Lucien Moreau stepped inside, his tailored charcoal suit clinging to his frame like a second skin."
1"The kind of book that wasn’t just a book—it was a weapon, a record, a thing of power."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount8
matches
0"she said, voice sharper than she intended"
1"he countered, turning to face her"
2"she said, her voice low"
3"she said, her fingers tightening around the edge of the coffee table"
4"she said, her voice quieter now"
5"she said, her voice barely above a whisper"
6"Eva said, her voice trembling"
7"she said, her voice breaking"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags11
fancyCount1
fancyTags
0"she admitted (admit)"
dialogueSentences28
tagDensity0.393
leniency0.786
rawRatio0.091
effectiveRatio0.071
78.7891%