Run: 2026-02-19-01KHTYEB9AESRB3H8HRHDX496S

Run Details

Duration:
6.2s
Cost:
$0.001974

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 sharp knock startled Aurora from her half-doze on the worn leather sofa. Ptolemy, Eva's tabby cat, flicked his tail and watched her with narrowed eyes as she pushed herself up, brushing a stray black strand from her face. She wasn't expecting anyone. The flat's three deadbolts scraped as she unlocked them, the sound echoing in the cramped space cluttered with books and research notes. When the door swung open, her breath caught. Lucien Moreau stood in the hallway, impeccable in a tailored charcoal suit, his heterochromatic eyes—one amber, one black—studying her with an intensity that made her pulse quicken. "Hello, Rory," he said, his French accent threading through the words like silk. She leaned against the doorframe, blocking his entry. "You're the last person I expected to see here." His lips curved—not quite a smile. The ivory handle of his concealed blade-cane caught the hallway's dim light. "May I come in?" Aurora stepped back, knowing she shouldn't, but unable to refuse. Some gravitational pull always existed between them, complicated and electric. "Why are you here, Lucien?"
total_cost0.0019736

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences4
tagDensity0.25
leniency0.5
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount182
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
0.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount182
totalAiIsms6
found
0
word"flicked"
count1
1
word"echoing"
count1
2
word"intensity"
count1
3
word"pulse"
count1
4
word"silk"
count1
5
word"electric"
count1
highlights
0"flicked"
1"echoing"
2"intensity"
3"pulse"
4"silk"
5"electric"
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
narrationSentences12
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences12
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences15
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen29
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords177
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
86.31% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions5
wordCount157
uniqueNames4
maxNameDensity1.27
worstName"Aurora"
maxWindowNameDensity1
worstWindowName"Aurora"
discoveredNames
Aurora2
Eva1
Moreau1
French1
persons
0"Aurora"
1"Eva"
2"Moreau"
places(empty)
globalScore0.863
windowScore1
0.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences11
glossingSentenceCount1
matches
0"not quite a smile"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount177
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences15
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs9
mean19.67
std9.87
cv0.502
sampleLengths
039
126
28
327
413
517
622
720
85
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences12
matches(empty)
0.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs27
matches
0"wasn't expecting"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences2
totalSentences15
ratio0.133
matches
0"Lucien Moreau stood in the hallway, impeccable in a tailored charcoal suit, his heterochromatic eyes—one amber, one black—studying her with an intensity that made her pulse quicken."
1"His lips curved—not quite a smile."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount162
adjectiveStacks0
stackExamples(empty)
adverbCount4
adverbRatio0.024691358024691357
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences15
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences15
mean11.8
std7.23
cv0.613
sampleLengths
013
126
24
322
48
527
613
78
89
96
1012
114
1210
1310
145
100.00% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.8
totalSentences15
uniqueOpeners12
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences12
matches(empty)
ratio0
86.67% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount4
totalSentences12
matches
0"She wasn't expecting anyone."
1"he said, his French accent"
2"She leaned against the doorframe,"
3"His lips curved—not quite a"
ratio0.333
1.67% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount11
totalSentences12
matches
0"The sharp knock startled Aurora"
1"Ptolemy, Eva's tabby cat, flicked"
2"She wasn't expecting anyone."
3"The flat's three deadbolts scraped"
4"Lucien Moreau stood in the"
5"he said, his French accent"
6"She leaned against the doorframe,"
7"His lips curved—not quite a"
8"The ivory handle of his"
9"Aurora stepped back, knowing she"
10"Some gravitational pull always existed"
ratio0.917
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences12
matches(empty)
ratio0
40.82% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences7
technicalSentenceCount1
matches
0"Lucien Moreau stood in the hallway, impeccable in a tailored charcoal suit, his heterochromatic eyes—one amber, one black—studying her with an intensity that ma…"
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount1
matches
0"he said, his French accent threading through the words like silk"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences4
tagDensity0.25
leniency0.5
rawRatio0
effectiveRatio0
70.5152%