Run: 2026-02-20-01KHY8DGW3PX4QEEEAPPEP40CS

Run Details

Duration:
2.8s
Cost:
$0.000177
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 front door of Eva’s flat groaned under the weight of the deadbolt, the old wood splintering slightly as it gave way. Aurora Carter stepped inside, her boots crunching over the scattered papers and half-eaten takeaway boxes that littered the floor. The air smelled of damp wool and something faintly metallic—old coffee, maybe, or the faintest trace of the demon’s perfume she’d caught on Lucien’s suit jacket earlier. She didn’t look back at the door. The flat was always like this—chaotic, alive with the hum of forgotten ideas and the quiet, stubborn energy of someone who refused to let things die. The walls were lined with shelves of books, their spines dog-eared, some cracked from years of handling. A single lamp flickered, casting long shadows across the cluttered desk where Eva had once scribbled notes in a mix of languages. Aurora kicked off her shoes and let her scarf fall to her waist, the fabric brushing against the small crescent scar on her wrist. She moved toward the kitchen, where the scent of garlic and chili clung to the air like a ghost of the night before. The fridge hummed, its contents untouched—milk, a half-eaten sandwich, a bottle of water that had been there since last week. “You’re back,” Eva said without turning. Aurora froze. The voice was low, rough, the kind of voice that had once belonged to someone who knew how to hold a knife. She turned slowly, her fingers tightening around the edge of the counter. Eva sat at the table, her legs crossed, her dark hair pulled back into a loose braid. The cat, Ptolemy, watched her from the armchair, tail flicking lazily. “You know I’m not supposed to be here,” Aurora said, voice steady despite the way her chest tightened. Eva didn’t look away. “You’re not.” Aurora exhaled sharply, her breath fogging the air. “I came to talk about the job.” “Oh.” Eva leaned back, the chair creaking. “You’re not here for that.” “Then what the hell are you doing here?” A beat of silence. The cat stretched, then flicked its tail at the empty space between them. “You left me,” Eva said, voice quieter now, almost sad. “After everything.” Aurora’s jaw clenched. “I had to.” “And now you’re back.” “Because you’re the only one who still believes in me.” Eva’s fingers drummed against the table. “I always did.” Aurora’s eyes burned. “You don’t understand.” “No,” Eva said softly. “I don’t.” The kitchen light flickered again, casting long shadows across the walls. Aurora reached for the coffee machine, the machine itself old and stubborn, refusing to cooperate. She poured herself a cup, the bitter brew burning her throat. “You’re not the only one who’s been hurt,” she said, voice rough. “You just didn’t see it.” Eva didn’t answer. Instead, she reached into her bag and pulled out a folded piece of paper. She handed it to Aurora without looking up. Aurora took it, the paper warm from her fingers. It was a map, crudely drawn, marked with a single location: a warehouse on the docks. A place she’d never been before. “This isn’t about the job,” Eva said. “This is about you.” Aurora’s stomach twisted. “What the hell is this?” Eva stood, her movements slow, deliberate. “You’re coming with me.” The cat hissed, tail lashing. Aurora’s hands shook as she unfolded the map. “You’re not making any sense.” “You’re not supposed to,” Eva said, stepping closer. “But you’re here now.” The front door slammed shut behind her.
created_at"2026-02-20T19:28:52.622Z" 2/20/2026, 7:28:52 PM
model"mistralai/ministral-3b-2512"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency195
moderation_latency(null)
generation_time2468
tokens_prompt1034
tokens_completion960
native_tokens_prompt959
native_tokens_completion811
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"
usage0.000177
router(null)
provider_responses
0
endpoint_id"b9f6828f-aef9-498a-91f5-6816fbf72420"
id"7f1a10b376564d7b8f8b531fa6025d06"
is_byokfalse
latency195
model_permaslug"mistralai/ministral-3b-2512"
provider_name"Mistral"
status200
api_type"completions"
id"gen-1771615732-OB6HktnAMwS0ZN6lcxb7"
upstream_id"7f1a10b376564d7b8f8b531fa6025d06"
total_cost0.000177
cache_discount(null)
upstream_inference_cost0
provider_name"Mistral"

Evaluation details

Result Evaluator Details Meta Data
40.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags8
adverbTagCount2
adverbTags
0"Eva leaned back [back]"
1"Eva said softly [softly]"
dialogueSentences25
tagDensity0.32
leniency0.64
rawRatio0.25
effectiveRatio0.16
57.48% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount588
totalAiIsmAdverbs5
found
0
adverb"slightly"
count1
1
adverb"slowly"
count1
2
adverb"lazily"
count1
3
adverb"sharply"
count1
4
adverb"softly"
count1
highlights
0"slightly"
1"slowly"
2"lazily"
3"sharply"
4"softly"
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)
31.97% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount588
totalAiIsms8
found
0
word"weight"
count1
1
word"chaotic"
count1
2
word"flickered"
count2
3
word"silence"
count1
4
word"flicked"
count1
5
word"jaw clenched"
count1
6
word"stomach"
count1
highlights
0"weight"
1"chaotic"
2"flickered"
3"silence"
4"flicked"
5"jaw clenched"
6"stomach"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"jaw/fists clenched"
count1
highlights
0"jaw clenched"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences44
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences44
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences61
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen28
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords582
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
12.87% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions28
wordCount474
uniqueNames5
maxNameDensity2.74
worstName"Eva"
maxWindowNameDensity4.5
worstWindowName"Eva"
discoveredNames
Eva13
Carter1
Lucien1
Aurora12
Ptolemy1
persons
0"Eva"
1"Carter"
2"Lucien"
3"Aurora"
4"Ptolemy"
places(empty)
globalScore0.129
windowScore0.167
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences31
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount582
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences61
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs29
mean20.07
std20.51
cv1.022
sampleLengths
068
172
267
36
464
518
66
715
812
98
1017
1112
126
134
1410
159
166
176
1837
1917
2025
2131
2211
238
2410
255
2613
2712
287
97.29% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences44
matches
0"were lined"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs88
matches(empty)
2.34% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences3
totalSentences61
ratio0.049
matches
0"The air smelled of damp wool and something faintly metallic—old coffee, maybe, or the faintest trace of the demon’s perfume she’d caught on Lucien’s suit jacket earlier."
1"The flat was always like this—chaotic, alive with the hum of forgotten ideas and the quiet, stubborn energy of someone who refused to let things die."
2"The fridge hummed, its contents untouched—milk, a half-eaten sandwich, a bottle of water that had been there since last week."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount480
adjectiveStacks0
stackExamples(empty)
adverbCount19
adverbRatio0.03958333333333333
lyAdverbCount7
lyAdverbRatio0.014583333333333334
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences61
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences61
mean9.54
std6.87
cv0.72
sampleLengths
022
119
227
37
426
517
622
724
823
920
106
112
1222
1312
1417
1511
1618
174
182
198
207
217
225
238
244
2513
2610
272
283
293
304
3110
326
333
343
353
364
372
3811
3915
4011
4112
425
433
4414
458
469
4716
486
497
43.44% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.29508196721311475
totalSentences61
uniqueOpeners18
79.37% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences42
matches
0"Instead, she reached into her"
ratio0.024
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount7
totalSentences42
matches
0"She didn’t look back at"
1"She moved toward the kitchen,"
2"She turned slowly, her fingers"
3"She poured herself a cup,"
4"she said, voice rough"
5"She handed it to Aurora"
6"It was a map, crudely"
ratio0.167
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount41
totalSentences42
matches
0"The front door of Eva’s"
1"Aurora Carter stepped inside, her"
2"The air smelled of damp"
3"She didn’t look back at"
4"The flat was always like"
5"The walls were lined with"
6"A single lamp flickered, casting"
7"Aurora kicked off her shoes"
8"She moved toward the kitchen,"
9"The fridge hummed, its contents"
10"Eva said without turning"
11"The voice was low, rough,"
12"She turned slowly, her fingers"
13"Eva sat at the table,"
14"The cat, Ptolemy, watched her"
15"Aurora said, voice steady despite"
16"Eva didn’t look away."
17"Aurora exhaled sharply, her breath"
18"Eva leaned back, the chair"
19"A beat of silence."
ratio0.976
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences42
matches(empty)
ratio0
67.67% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences19
technicalSentenceCount2
matches
0"The flat was always like this—chaotic, alive with the hum of forgotten ideas and the quiet, stubborn energy of someone who refused to let things die."
1"The fridge hummed, its contents untouched—milk, a half-eaten sandwich, a bottle of water that had been there since last week."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount4
matches
0"Aurora said, voice steady despite the way her chest tightened"
1"Eva leaned back, the chair creaking"
2"Eva said, voice quieter now, almost sad"
3"she said, voice rough"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount0
fancyTags(empty)
dialogueSentences25
tagDensity0.28
leniency0.56
rawRatio0
effectiveRatio0
74.4144%