| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 2 | | adverbTags | | 0 | "He leaned back [back]" | | 1 | "He glanced around [around]" |
| | dialogueSentences | 55 | | tagDensity | 0.418 | | leniency | 0.836 | | rawRatio | 0.087 | | effectiveRatio | 0.073 | |
| 95.29% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1062 | | totalAiIsmAdverbs | 1 | | found | | 0 | | adverb | "barely above a whisper" | | count | 1 |
|
| | highlights | | 0 | "barely above a whisper" |
| |
| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1062 | | totalAiIsms | 22 | | found | | | highlights | | 0 | "weight" | | 1 | "silence" | | 2 | "cacophony" | | 3 | "familiar" | | 4 | "flickered" | | 5 | "scanning" | | 6 | "eyebrow" | | 7 | "fleeting" | | 8 | "unspoken" | | 9 | "echo" | | 10 | "whisper" | | 11 | "fractured" | | 12 | "traced" | | 13 | "potential" | | 14 | "warmth" |
| |
| 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 | 60 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 60 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 92 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1057 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 648 | | uniqueNames | 7 | | maxNameDensity | 1.54 | | worstName | "Smith" | | maxWindowNameDensity | 3 | | worstWindowName | "Smith" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Smith | 10 | | Silas | 4 | | Blackwood | 1 | | Rory | 7 | | Aurora | 4 |
| | persons | | 0 | "Nest" | | 1 | "Smith" | | 2 | "Silas" | | 3 | "Blackwood" | | 4 | "Rory" | | 5 | "Aurora" |
| | places | | | globalScore | 0.728 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.946 | | wordCount | 1057 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 92 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 23.49 | | std | 12.21 | | cv | 0.52 | | sampleLengths | | 0 | 5 | | 1 | 54 | | 2 | 16 | | 3 | 25 | | 4 | 35 | | 5 | 18 | | 6 | 40 | | 7 | 44 | | 8 | 24 | | 9 | 10 | | 10 | 11 | | 11 | 18 | | 12 | 25 | | 13 | 41 | | 14 | 25 | | 15 | 16 | | 16 | 20 | | 17 | 19 | | 18 | 34 | | 19 | 38 | | 20 | 16 | | 21 | 11 | | 22 | 14 | | 23 | 22 | | 24 | 21 | | 25 | 8 | | 26 | 8 | | 27 | 28 | | 28 | 41 | | 29 | 11 | | 30 | 29 | | 31 | 14 | | 32 | 11 | | 33 | 23 | | 34 | 42 | | 35 | 13 | | 36 | 22 | | 37 | 17 | | 38 | 21 | | 39 | 21 | | 40 | 23 | | 41 | 20 | | 42 | 18 | | 43 | 25 | | 44 | 60 |
| |
| 99.42% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 60 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 107 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 92 | | ratio | 0.011 | | matches | | 0 | "The sharp scent of the beer-laden air mixed with her perfume—a hint of jasmine, unmistakable." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 653 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 25 | | adverbRatio | 0.03828483920367534 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.013782542113323124 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 92 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 92 | | mean | 11.49 | | std | 5.06 | | cv | 0.44 | | sampleLengths | | 0 | 5 | | 1 | 23 | | 2 | 15 | | 3 | 16 | | 4 | 10 | | 5 | 6 | | 6 | 15 | | 7 | 10 | | 8 | 20 | | 9 | 15 | | 10 | 18 | | 11 | 12 | | 12 | 15 | | 13 | 13 | | 14 | 7 | | 15 | 17 | | 16 | 20 | | 17 | 15 | | 18 | 9 | | 19 | 10 | | 20 | 11 | | 21 | 3 | | 22 | 10 | | 23 | 5 | | 24 | 9 | | 25 | 16 | | 26 | 24 | | 27 | 17 | | 28 | 12 | | 29 | 13 | | 30 | 8 | | 31 | 8 | | 32 | 9 | | 33 | 4 | | 34 | 7 | | 35 | 8 | | 36 | 11 | | 37 | 18 | | 38 | 16 | | 39 | 8 | | 40 | 24 | | 41 | 6 | | 42 | 6 | | 43 | 10 | | 44 | 7 | | 45 | 4 | | 46 | 2 | | 47 | 12 | | 48 | 13 | | 49 | 9 |
| |
| 90.94% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.5652173913043478 | | totalSentences | 92 | | uniqueOpeners | 52 | |
| 57.47% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 58 | | matches | | 0 | "Instead, they faced the weight" |
| | ratio | 0.017 | |
| 68.28% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 58 | | matches | | 0 | "His features sharpened, recognition dawning" | | 1 | "He blinked, as if he" | | 2 | "She had her arms folded," | | 3 | "She didn't wait for an" | | 4 | "His hazel eyes, once sharp" | | 5 | "he murmured, lifting his glass" | | 6 | "They sat in silence for" | | 7 | "She broke the silence, her" | | 8 | "He took a slow sip" | | 9 | "His eyes flickered to the" | | 10 | "She took a breath." | | 11 | "He leaned back, eyes scanning" | | 12 | "She smiled, a thin, strained" | | 13 | "He glanced around the bar" | | 14 | "he shot back smoothly, but" | | 15 | "He hesitated, then nodded." | | 16 | "She raised her glass, and" | | 17 | "Their eyes met, a silent" | | 18 | "He traced the rim of" | | 19 | "She snorted, but there was" |
| | ratio | 0.379 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 58 | | matches | | 0 | "Aurora's voice sliced through the" | | 1 | "The subtle green glow of" | | 2 | "His features sharpened, recognition dawning" | | 3 | "He blinked, as if he" | | 4 | "She had her arms folded," | | 5 | "Rory crossed the room in" | | 6 | "The sharp scent of the" | | 7 | "She didn't wait for an" | | 8 | "Smith rubbed a hand through" | | 9 | "His hazel eyes, once sharp" | | 10 | "he murmured, lifting his glass" | | 11 | "They sat in silence for" | | 12 | "Rory’s eyes wandered to the" | | 13 | "The mingling conversations around them" | | 14 | "She broke the silence, her" | | 15 | "Smith said with a dry" | | 16 | "Smith’s smile faded." | | 17 | "He took a slow sip" | | 18 | "Aurora waited, expecting more, but" | | 19 | "His eyes flickered to the" |
| | ratio | 0.931 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 58 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 7 | | matches | | 0 | "He blinked, as if he couldn’t believe his eyes" | | 1 | "She broke, her gaze still directed at the artifacts" | | 2 | "He leaned back, eyes scanning her features" | | 3 | "Smith admitted, his voice barely above a whisper" | | 4 | "Rory stared, the amber liquid reflecting a fractured version of herself" | | 5 | "His smile returned, faint but genuine" | | 6 | "Aurora stood, the chair scraping loudly on the wooden floor" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "he murmured (murmur)" | | 1 | "Smith admitted (admit)" |
| | dialogueSentences | 55 | | tagDensity | 0.055 | | leniency | 0.109 | | rawRatio | 0.667 | | effectiveRatio | 0.073 | |