Run: 2026-02-20-01KHYB3GV6NCB750H4C49W9VV9

Run Details

Duration:
2.3s
Cost:
$0.000160
Provider:
Mistral

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="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> Continue the story using the following instructions: <instructions> 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. </instructions>

Model response

AI
The door creaked open before Aurora had even reached the handle. The air inside Eva’s flat smelled of old paper and something faintly metallic—like old coins left too long in a pocket. She paused, fingers hovering over the deadbolt, her pulse hammering against her ribs. *What if he’s not here anymore?* But the lock turned smoothly, and the door swung inward with a sigh, revealing Lucien standing there, his cane resting against the wall like a silent weapon. “You’re late,” he said, voice low, the amber in his eye catching the dim light from the street outside. Aurora exhaled through her nose, her fingers tightening around the doorknob. “I didn’t expect you.” “Neither did I.” His gaze flicked to the scar on her wrist, the one she’d gotten as a kid when she’d tried to fix a broken toy with a knife. She didn’t flinch. “You look… different.” She stepped back, letting the door close behind her. The flat was still—too still. The usual clutter of books and scrolls was there, but something felt off. “You shouldn’t have come.” “Shouldn’t I?” His cane tapped the floor as he moved toward her, the blade hidden beneath the ivory handle glinting in the corner of her eye. “You’re the one who didn’t answer my texts.” “And you’re the one who didn’t call me back.” He stopped just inside the doorway, close enough that the scent of his aftershave—something sharp and bitter—mixed with the dust from the books. “You were in London.” “And you were in Marseille.” She crossed her arms, the scar on her wrist aching with the memory of that night. “We both know why.” “Because you’re running.” His voice dropped, rougher than she remembered. “Because you’re scared.” She didn’t answer. Instead, she turned away, her fingers brushing against the edge of a scroll on the desk. The paper was brittle, the ink faded. “You’re not the only one who’s been avoiding things.” “Then why did you come here?” His cane lifted, and for a second, she thought he was going to reach for her. Instead, he just leaned against the wall, arms crossed. “You could’ve just said something.” “And risked what?” She spun back to face him, her breath shallow. “That you’d walk away again?” The silence stretched between them, thick with unspoken words. The cat, Ptolemy, stretched out on the desk, tail flicking lazily. It didn’t move. Lucien exhaled, the sound like the crack of a whip. “You’re not the same person who left me.” Aurora’s jaw tightened. “No. But you’re not the same person who let me.” His fingers twitched at his side. “I didn’t let you go.” She stepped closer, the scent of him—warm and dangerous—filling her lungs. “You didn’t have to.” The door slammed shut behind her.
created_at"2026-02-20T20:15:50.642Z" 2/20/2026, 8:15:50 PM
model"mistralai/ministral-3b-2512"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency223
moderation_latency(null)
generation_time1878
tokens_prompt1034
tokens_completion754
native_tokens_prompt959
native_tokens_completion639
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached512
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"
usage0.0001598
router(null)
provider_responses
0
endpoint_id"b9f6828f-aef9-498a-91f5-6816fbf72420"
id"a857df5c92c5407fbec81fc479f1f33d"
is_byokfalse
latency223
model_permaslug"mistralai/ministral-3b-2512"
provider_name"Mistral"
status200
api_type"completions"
id"gen-1771618550-NV0ghIQpEscFZwcidmgJ"
upstream_id"a857df5c92c5407fbec81fc479f1f33d"
total_cost0.0001598
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
totalTags7
adverbTagCount1
adverbTags
0"She spun back [back]"
dialogueSentences22
tagDensity0.318
leniency0.636
rawRatio0.143
effectiveRatio0.091
89.27% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount466
totalAiIsmAdverbs1
found
0
adverb"lazily"
count1
highlights
0"lazily"
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)
46.35% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount466
totalAiIsms5
found
0
word"pulse"
count1
1
word"flicked"
count1
2
word"glinting"
count1
3
word"silence"
count1
4
word"unspoken"
count1
highlights
0"pulse"
1"flicked"
2"glinting"
3"silence"
4"unspoken"
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
narrationSentences29
matches(empty)
93.60% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences29
filterMatches(empty)
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences44
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen33
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords6
totalWords461
ratio0.013
matches
0"What if he’s not here anymore?"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions7
wordCount352
uniqueNames4
maxNameDensity0.85
worstName"Aurora"
maxWindowNameDensity1
worstWindowName"Aurora"
discoveredNames
Aurora3
Eva1
Lucien2
Ptolemy1
persons
0"Aurora"
1"Eva"
2"Lucien"
3"Ptolemy"
places(empty)
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences24
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount461
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences44
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs19
mean24.26
std15.75
cv0.649
sampleLengths
078
119
215
336
431
534
69
727
825
913
1035
1136
1217
1323
1418
1513
1611
1715
186
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences29
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs62
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences4
totalSentences44
ratio0.091
matches
0"The air inside Eva’s flat smelled of old paper and something faintly metallic—like old coins left too long in a pocket."
1"The flat was still—too still."
2"He stopped just inside the doorway, close enough that the scent of his aftershave—something sharp and bitter—mixed with the dust from the books."
3"She stepped closer, the scent of him—warm and dangerous—filling her lungs."
95.78% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount357
adjectiveStacks0
stackExamples(empty)
adverbCount16
adverbRatio0.04481792717086835
lyAdverbCount3
lyAdverbRatio0.008403361344537815
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences44
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences44
mean10.48
std7.54
cv0.72
sampleLengths
011
121
213
333
419
511
64
730
83
93
109
115
1213
134
1426
158
169
1723
184
1921
204
2110
223
233
2416
257
269
2722
289
295
3012
315
329
3311
343
3510
368
373
3810
396
405
4111
424
436
62.88% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.4318181818181818
totalSentences44
uniqueOpeners19
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences29
matches
0"Instead, she turned away, her"
1"Instead, he just leaned against"
ratio0.069
13.10% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount15
totalSentences29
matches
0"She paused, fingers hovering over"
1"he said, voice low, the"
2"His gaze flicked to the"
3"She didn’t flinch."
4"She stepped back, letting the"
5"His cane tapped the floor"
6"He stopped just inside the"
7"She crossed her arms, the"
8"His voice dropped, rougher than"
9"She didn’t answer."
10"His cane lifted, and for"
11"She spun back to face"
12"It didn’t move."
13"His fingers twitched at his"
14"She stepped closer, the scent"
ratio0.517
11.72% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount26
totalSentences29
matches
0"The door creaked open before"
1"The air inside Eva’s flat"
2"She paused, fingers hovering over"
3"he said, voice low, the"
4"Aurora exhaled through her nose,"
5"His gaze flicked to the"
6"She didn’t flinch."
7"She stepped back, letting the"
8"The flat was still—too still."
9"The usual clutter of books"
10"His cane tapped the floor"
11"He stopped just inside the"
12"She crossed her arms, the"
13"His voice dropped, rougher than"
14"She didn’t answer."
15"The paper was brittle, the"
16"His cane lifted, and for"
17"She spun back to face"
18"The silence stretched between them,"
19"The cat, Ptolemy, stretched out"
ratio0.897
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences29
matches(empty)
ratio0
77.92% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences11
technicalSentenceCount1
matches
0"She paused, fingers hovering over the deadbolt, her pulse hammering against her ribs."
53.57% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount1
matches
0"She spun back, her breath shallow"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences22
tagDensity0.045
leniency0.091
rawRatio0
effectiveRatio0
81.4734%