Run: 2026-02-19-01KHTXGDT85W0YJ2THCGNN25ZS

Run Details

Duration:
7.8s
Cost:
$0.001998

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 three deadbolts scraped against their metal plates, each click echoing louder than the last. Aurora's fingers trembled slightly as she turned the final lock, her bare feet cold against the worn wooden floor of Eva's flat. When the door swung open, Lucien Moreau stood perfectly composed, his charcoal suit immaculate despite the late hour. Amber and black eyes swept over her—taking in every detail, every shift of her posture. "Hello, Rory," he said. No smile. No softness. Her breath caught. Six months. Six months since they'd last spoken, since that night in Marseille when everything fractured between them. "What are you doing here?" The words came out sharper than she intended, her Cardiff accent thickening with tension. Lucien's ivory-handled cane tapped against the doorframe, a rhythmic counterpoint to her racing heartbeat. "Eva called me. She's worried about you." Aurora stepped back, allowing him entry. Ptolemy, Eva's tabby cat, watched from a stack of research-laden books, tail flicking with feline indifference. "I don't need looking after," she muttered. His heterochromatic gaze tracked her movement. "Don't you?"
total_cost0.0019976

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences5
tagDensity0.6
leniency1
rawRatio0
effectiveRatio0
44.13% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount179
totalAiIsmAdverbs2
found
0
adverb"slightly"
count1
1
adverb"perfectly"
count1
highlights
0"slightly"
1"perfectly"
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)
wordCount179
totalAiIsms6
found
0
word"echoing"
count1
1
word"trembled"
count1
2
word"fractured"
count1
3
word"tension"
count1
4
word"rhythmic"
count1
5
word"racing"
count1
highlights
0"echoing"
1"trembled"
2"fractured"
3"tension"
4"rhythmic"
5"racing"
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
narrationSentences16
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences16
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences18
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen22
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords176
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
85.48% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions7
wordCount155
uniqueNames5
maxNameDensity1.29
worstName"Eva"
maxWindowNameDensity1
worstWindowName"Eva"
discoveredNames
Eva2
Lucien2
Moreau1
Marseille1
Cardiff1
persons
0"Eva"
1"Lucien"
2"Moreau"
places
0"Marseille"
1"Cardiff"
globalScore0.855
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences10
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount176
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences18
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs9
mean19.56
std10.11
cv0.517
sampleLengths
037
133
28
321
419
521
622
77
88
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences16
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs26
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences18
ratio0.056
matches
0"Amber and black eyes swept over her—taking in every detail, every shift of her posture."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount158
adjectiveStacks0
stackExamples(empty)
adverbCount3
adverbRatio0.0189873417721519
lyAdverbCount2
lyAdverbRatio0.012658227848101266
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences18
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences18
mean9.78
std6.74
cv0.689
sampleLengths
015
122
218
315
44
52
62
73
82
916
1019
1114
127
136
1416
157
166
172
88.89% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.8333333333333334
totalSentences18
uniqueOpeners15
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences11
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount2
totalSentences11
matches
0"Her breath caught."
1"His heterochromatic gaze tracked her"
ratio0.182
50.91% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount9
totalSentences11
matches
0"The three deadbolts scraped against"
1"Aurora's fingers trembled slightly as"
2"Amber and black eyes swept"
3"Her breath caught."
4"The words came out sharper"
5"Lucien's ivory-handled cane tapped against"
6"Aurora stepped back, allowing him"
7"Ptolemy, Eva's tabby cat, watched"
8"His heterochromatic gaze tracked her"
ratio0.818
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences11
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences7
technicalSentenceCount0
matches(empty)
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount1
matches
0"The words came out, her Cardiff accent thickening with tension"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount1
fancyTags
0"she muttered (mutter)"
dialogueSentences5
tagDensity0.4
leniency0.8
rawRatio0.5
effectiveRatio0.4
75.6472%