| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 25 | | adverbTagCount | 1 | | adverbTags | | 0 | "She leaned back [back]" |
| | dialogueSentences | 68 | | tagDensity | 0.368 | | leniency | 0.735 | | rawRatio | 0.04 | | effectiveRatio | 0.029 | |
| 70.50% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1356 | | totalAiIsmAdverbs | 8 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | adverb | "barely above a whisper" | | count | 1 |
|
| | highlights | | 0 | "softly" | | 1 | "lightly" | | 2 | "slightly" | | 3 | "slowly" | | 4 | "utterly" | | 5 | "sharply" | | 6 | "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) | |
| 41.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1356 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "warmth" | | 1 | "familiar" | | 2 | "flicked" | | 3 | "calculating" | | 4 | "churn" | | 5 | "stomach" | | 6 | "eyebrow" | | 7 | "simmering" | | 8 | "unreadable" | | 9 | "whisper" | | 10 | "stark" | | 11 | "silence" |
| |
| 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 | 85 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 85 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 127 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1353 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 953 | | uniqueNames | 8 | | maxNameDensity | 0.63 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Evan" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Golden | 1 | | Empress | 1 | | Saturday | 1 | | Rory | 6 | | Silas | 5 | | Evan | 4 |
| | persons | | 0 | "Nest" | | 1 | "Rory" | | 2 | "Silas" | | 3 | "Evan" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 80 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1353 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 127 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 59 | | mean | 22.93 | | std | 15.63 | | cv | 0.682 | | sampleLengths | | 0 | 81 | | 1 | 72 | | 2 | 9 | | 3 | 16 | | 4 | 24 | | 5 | 11 | | 6 | 74 | | 7 | 42 | | 8 | 2 | | 9 | 40 | | 10 | 1 | | 11 | 44 | | 12 | 26 | | 13 | 15 | | 14 | 10 | | 15 | 24 | | 16 | 11 | | 17 | 13 | | 18 | 19 | | 19 | 16 | | 20 | 33 | | 21 | 4 | | 22 | 19 | | 23 | 18 | | 24 | 20 | | 25 | 18 | | 26 | 16 | | 27 | 18 | | 28 | 27 | | 29 | 19 | | 30 | 22 | | 31 | 17 | | 32 | 22 | | 33 | 15 | | 34 | 36 | | 35 | 12 | | 36 | 27 | | 37 | 12 | | 38 | 25 | | 39 | 14 | | 40 | 25 | | 41 | 31 | | 42 | 27 | | 43 | 13 | | 44 | 11 | | 45 | 38 | | 46 | 13 | | 47 | 29 | | 48 | 9 | | 49 | 35 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 85 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 167 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 127 | | ratio | 0.008 | | matches | | 0 | "But it was his eyes that caught her—cold, calculating, and utterly foreign." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 956 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.029288702928870293 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.013598326359832637 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 127 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 127 | | mean | 10.65 | | std | 5.71 | | cv | 0.536 | | sampleLengths | | 0 | 21 | | 1 | 25 | | 2 | 20 | | 3 | 15 | | 4 | 18 | | 5 | 10 | | 6 | 19 | | 7 | 25 | | 8 | 9 | | 9 | 14 | | 10 | 2 | | 11 | 17 | | 12 | 7 | | 13 | 8 | | 14 | 3 | | 15 | 10 | | 16 | 13 | | 17 | 17 | | 18 | 11 | | 19 | 23 | | 20 | 13 | | 21 | 18 | | 22 | 11 | | 23 | 2 | | 24 | 8 | | 25 | 15 | | 26 | 17 | | 27 | 1 | | 28 | 18 | | 29 | 14 | | 30 | 12 | | 31 | 12 | | 32 | 14 | | 33 | 11 | | 34 | 4 | | 35 | 8 | | 36 | 2 | | 37 | 21 | | 38 | 3 | | 39 | 11 | | 40 | 6 | | 41 | 7 | | 42 | 7 | | 43 | 9 | | 44 | 3 | | 45 | 9 | | 46 | 7 | | 47 | 11 | | 48 | 11 | | 49 | 11 |
| |
| 54.86% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.36220472440944884 | | totalSentences | 127 | | uniqueOpeners | 46 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 83 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 55 | | totalSentences | 83 | | matches | | 0 | "Her jacket clung to her" | | 1 | "She shook her hair out," | | 2 | "His hazel eyes flicked up" | | 3 | "he said, his voice gravelly" | | 4 | "She slid onto a stool," | | 5 | "He set the glass down" | | 6 | "She smirked, accepting the glass" | | 7 | "Her gaze drifted to the" | | 8 | "She froze, the glass halfway" | | 9 | "She turned slowly, her bright" | | 10 | "He stood there, taller than" | | 11 | "His dark hair was slicked" | | 12 | "she said, her voice steady" | | 13 | "She set the glass down," | | 14 | "He stepped closer, his polished" | | 15 | "She tilted her head, studying" | | 16 | "His gaze flicked over her," | | 17 | "she shot back, raising an" | | 18 | "He chuckled, but it lacked" | | 19 | "He leaned against the bar," |
| | ratio | 0.663 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 78 | | totalSentences | 83 | | matches | | 0 | "The green neon sign buzzed" | | 1 | "Rory pushed her bike into" | | 2 | "Her jacket clung to her" | | 3 | "She shook her hair out," | | 4 | "The warmth of the bar" | | 5 | "The familiar scent of whiskey" | | 6 | "Silas stood behind the bar," | | 7 | "His hazel eyes flicked up" | | 8 | "he said, his voice gravelly" | | 9 | "She slid onto a stool," | | 10 | "He set the glass down" | | 11 | "She smirked, accepting the glass" | | 12 | "The bar was quieter than" | | 13 | "A couple occupied a corner" | | 14 | "A man in a worn" | | 15 | "Rory sipped her drink, the" | | 16 | "Her gaze drifted to the" | | 17 | "The door creaked open behind" | | 18 | "Rory didn’t turn, too absorbed" | | 19 | "She froze, the glass halfway" |
| | ratio | 0.94 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 83 | | matches | (empty) | | ratio | 0 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 4 | | matches | | 0 | "Her jacket clung to her shoulders, damp from the drizzle that had followed her all the way from Golden Empress." | | 1 | "Silas stood behind the bar, polishing a glass with the kind of precision that spoke of years of practice." | | 2 | "Her gaze drifted to the bookshelf that concealed the hidden room, her thoughts momentarily wandering to the last time she’d been back there." | | 3 | "She stared at him, her chest rising and falling with each breath." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 25 | | uselessAdditionCount | 10 | | matches | | 0 | "he said, his voice gravelly but warm" | | 1 | "She slid, fingers tapping lightly on the wooden counter" | | 2 | "she said, her voice steady despite the churn in her stomach" | | 3 | "He took, his lips pressing into a thin line" | | 4 | "She leaned back, her arms crossed" | | 5 | "She leaned, her eyes narrowing" | | 6 | "She tilted, her gaze piercing" | | 7 | "She slid, her movements sharp and deliberate" | | 8 | "She held up, her voice cold" | | 9 | "he asked, his voice low" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 68 | | tagDensity | 0.088 | | leniency | 0.176 | | rawRatio | 0.167 | | effectiveRatio | 0.029 | |