| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 52 | | tagDensity | 0.192 | | leniency | 0.385 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.04% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1263 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 32.70% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1263 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "weight" | | 1 | "chill" | | 2 | "scanning" | | 3 | "familiar" | | 4 | "tracing" | | 5 | "rhythmic" | | 6 | "flicked" | | 7 | "flickered" | | 8 | "unreadable" | | 9 | "traced" | | 10 | "silence" | | 11 | "eyebrow" | | 12 | "unwavering" | | 13 | "pawn" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 67 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 67 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 109 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1250 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 709 | | uniqueNames | 7 | | maxNameDensity | 1.97 | | worstName | "Aurora" | | maxWindowNameDensity | 4 | | worstWindowName | "Aurora" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Carter | 1 | | Silas | 12 | | Blackwood | 1 | | Aurora | 14 | | Prague | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Carter" | | 3 | "Silas" | | 4 | "Blackwood" | | 5 | "Aurora" |
| | places | | | globalScore | 0.513 | | windowScore | 0.333 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 3 | | matches | | 0 | "something like recognition" | | 1 | "not quite a smile, not quite a frown" | | 2 | "not quite a frown" | | 3 | "as if surrendering to some silent referee" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.8 | | wordCount | 1250 | | matches | | 0 | "not vanished, but acknowledged, made manageable by ritual" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 109 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 60 | | mean | 20.83 | | std | 13.81 | | cv | 0.663 | | sampleLengths | | 0 | 52 | | 1 | 62 | | 2 | 73 | | 3 | 54 | | 4 | 18 | | 5 | 28 | | 6 | 16 | | 7 | 14 | | 8 | 31 | | 9 | 6 | | 10 | 21 | | 11 | 16 | | 12 | 17 | | 13 | 19 | | 14 | 10 | | 15 | 19 | | 16 | 6 | | 17 | 29 | | 18 | 10 | | 19 | 29 | | 20 | 20 | | 21 | 22 | | 22 | 23 | | 23 | 12 | | 24 | 19 | | 25 | 20 | | 26 | 9 | | 27 | 7 | | 28 | 37 | | 29 | 28 | | 30 | 30 | | 31 | 15 | | 32 | 8 | | 33 | 24 | | 34 | 6 | | 35 | 21 | | 36 | 17 | | 37 | 13 | | 38 | 8 | | 39 | 17 | | 40 | 6 | | 41 | 28 | | 42 | 18 | | 43 | 39 | | 44 | 17 | | 45 | 7 | | 46 | 20 | | 47 | 12 | | 48 | 8 | | 49 | 16 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 67 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 129 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 109 | | ratio | 0.064 | | matches | | 0 | "The bar offered shelter to those who found comfort in shadows—a handful of regulars, old jazz slurring through the speakers, and a bartender whose name carried more weight than any bottle behind him." | | 1 | "Silas Blackwood leaned forward on his good leg—when had his hair gone so grey?" | | 2 | "He ran a hand through his hair — auburn flickered, still clinging to life beneath the frost." | | 3 | "Aurora’s bright blue eyes drifted to a photo pinned behind the counter—Silas in Prague, younger, sharper, standing beside someone with a blurred-out face." | | 4 | "He flexed his good knee, and pain flickered in his eyes—ancient, permanent now." | | 5 | "He looked at her properly, none of the crowd around—just a mentor and the bright-eyed girl she’d been crushed under new layers." | | 6 | "The weight between them eased—not vanished, but acknowledged, made manageable by ritual and memory." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 716 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.03770949720670391 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.0111731843575419 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 109 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 109 | | mean | 11.47 | | std | 7.26 | | cv | 0.633 | | sampleLengths | | 0 | 19 | | 1 | 33 | | 2 | 10 | | 3 | 17 | | 4 | 35 | | 5 | 20 | | 6 | 23 | | 7 | 20 | | 8 | 10 | | 9 | 6 | | 10 | 14 | | 11 | 22 | | 12 | 12 | | 13 | 18 | | 14 | 18 | | 15 | 10 | | 16 | 16 | | 17 | 14 | | 18 | 13 | | 19 | 18 | | 20 | 2 | | 21 | 4 | | 22 | 4 | | 23 | 8 | | 24 | 9 | | 25 | 3 | | 26 | 13 | | 27 | 17 | | 28 | 19 | | 29 | 4 | | 30 | 6 | | 31 | 17 | | 32 | 2 | | 33 | 3 | | 34 | 3 | | 35 | 8 | | 36 | 21 | | 37 | 8 | | 38 | 2 | | 39 | 11 | | 40 | 18 | | 41 | 2 | | 42 | 11 | | 43 | 7 | | 44 | 11 | | 45 | 11 | | 46 | 23 | | 47 | 12 | | 48 | 6 | | 49 | 13 |
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| 70.95% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.43119266055045874 | | totalSentences | 109 | | uniqueOpeners | 47 | |
| 56.50% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 59 | | matches | | 0 | "Only three strangers at the" |
| | ratio | 0.017 | |
| 43.73% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 59 | | matches | | 0 | "She kept her head down," | | 1 | "She moved towards the counter," | | 2 | "He wore his silver signet" | | 3 | "His hazel eyes flicked up," | | 4 | "His voice cracked with the" | | 5 | "She let his words settle," | | 6 | "He tugged a glass from" | | 7 | "He poured, no theatrics." | | 8 | "She took a sip, flames" | | 9 | "He ran a hand through" | | 10 | "he gestured with his glass" | | 11 | "He leaned in, elbows pressed" | | 12 | "He tipped his head, a" | | 13 | "She exhaled, feeling the weight" | | 14 | "He searched her face." | | 15 | "She squeezed her wrist." | | 16 | "He let the statement hang," | | 17 | "They sat a moment in" | | 18 | "He flexed his good knee," | | 19 | "He shrugged, silver ring flashing." |
| | ratio | 0.441 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 59 | | matches | | 0 | "The bar offered shelter to" | | 1 | "Aurora Carter stepped inside, the" | | 2 | "Water dripped from the hem" | | 3 | "She kept her head down," | | 4 | "She moved towards the counter," | | 5 | "Aurora slid onto a free" | | 6 | "The whole place smelled of" | | 7 | "Silas Blackwood leaned forward on" | | 8 | "The beard suited him, carved" | | 9 | "He wore his silver signet" | | 10 | "His hazel eyes flicked up," | | 11 | "His voice cracked with the" | | 12 | "She let his words settle," | | 13 | "He tugged a glass from" | | 14 | "He poured, no theatrics." | | 15 | "The whisky caught the dull" | | 16 | "She took a sip, flames" | | 17 | "He ran a hand through" | | 18 | "he gestured with his glass" | | 19 | "Aurora bristled, jaw tense." |
| | ratio | 0.932 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 59 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 1 | | matches | | 0 | "Old friends played a quiet game, lost in the bright and wounded present, across pieces that remembered more than they let on." |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 1 | | matches | | 0 | "Aurora asked, voice thin" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "she continued (continue)" | | 1 | "Silas interrupted (interrupt)" |
| | dialogueSentences | 52 | | tagDensity | 0.077 | | leniency | 0.154 | | rawRatio | 0.5 | | effectiveRatio | 0.077 | |