| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.214 | | leniency | 0.429 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1672 | | totalAiIsmAdverbs | 0 | | 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) | |
| 70.10% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1672 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "pulse" | | 1 | "warmth" | | 2 | "throb" | | 3 | "silence" | | 4 | "dances" | | 5 | "pulsed" | | 6 | "footsteps" | | 7 | "echo" | | 8 | "flickered" | | 9 | "lurched" |
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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 | 182 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 182 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 193 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1672 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 1632 | | uniqueNames | 6 | | maxNameDensity | 0.8 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 13 | | Heartstone | 2 | | London | 1 | | Fae | 3 | | Eva | 3 | | Carter | 1 |
| | persons | | 0 | "Rory" | | 1 | "Heartstone" | | 2 | "Eva" | | 3 | "Carter" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 110 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 80.38% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.196 | | wordCount | 1672 | | matches | | 0 | "not from what she had heard, but tonight the flowers held something strained in them" | | 1 | "not towards her light, but deeper in" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 193 | | matches | | 0 | "knew that sound" | | 1 | "lifted that hand" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 85 | | mean | 19.67 | | std | 22.14 | | cv | 1.126 | | sampleLengths | | 0 | 4 | | 1 | 53 | | 2 | 12 | | 3 | 77 | | 4 | 113 | | 5 | 6 | | 6 | 20 | | 7 | 54 | | 8 | 6 | | 9 | 7 | | 10 | 28 | | 11 | 2 | | 12 | 6 | | 13 | 55 | | 14 | 44 | | 15 | 3 | | 16 | 17 | | 17 | 81 | | 18 | 6 | | 19 | 5 | | 20 | 15 | | 21 | 11 | | 22 | 13 | | 23 | 68 | | 24 | 12 | | 25 | 29 | | 26 | 3 | | 27 | 1 | | 28 | 8 | | 29 | 26 | | 30 | 2 | | 31 | 43 | | 32 | 2 | | 33 | 2 | | 34 | 12 | | 35 | 2 | | 36 | 55 | | 37 | 12 | | 38 | 8 | | 39 | 67 | | 40 | 66 | | 41 | 6 | | 42 | 12 | | 43 | 19 | | 44 | 5 | | 45 | 24 | | 46 | 9 | | 47 | 19 | | 48 | 4 | | 49 | 7 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 182 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 249 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 193 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1636 | | adjectiveStacks | 1 | | stackExamples | | 0 | "white star-shaped blooms" |
| | adverbCount | 49 | | adverbRatio | 0.029951100244498777 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0018337408312958435 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 193 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 193 | | mean | 8.66 | | std | 7.31 | | cv | 0.844 | | sampleLengths | | 0 | 4 | | 1 | 19 | | 2 | 8 | | 3 | 26 | | 4 | 6 | | 5 | 6 | | 6 | 9 | | 7 | 27 | | 8 | 22 | | 9 | 5 | | 10 | 14 | | 11 | 5 | | 12 | 16 | | 13 | 34 | | 14 | 19 | | 15 | 7 | | 16 | 32 | | 17 | 6 | | 18 | 2 | | 19 | 2 | | 20 | 5 | | 21 | 11 | | 22 | 11 | | 23 | 5 | | 24 | 2 | | 25 | 18 | | 26 | 1 | | 27 | 4 | | 28 | 6 | | 29 | 7 | | 30 | 6 | | 31 | 3 | | 32 | 1 | | 33 | 3 | | 34 | 4 | | 35 | 24 | | 36 | 2 | | 37 | 6 | | 38 | 9 | | 39 | 9 | | 40 | 25 | | 41 | 2 | | 42 | 2 | | 43 | 2 | | 44 | 6 | | 45 | 8 | | 46 | 14 | | 47 | 8 | | 48 | 5 | | 49 | 9 |
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| 59.93% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.39378238341968913 | | totalSentences | 193 | | uniqueOpeners | 76 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 8 | | totalSentences | 148 | | matches | | 0 | "Somewhere in this clearing, under" | | 1 | "Just a bank of fern" | | 2 | "Then the branch shivered once," | | 3 | "Then three quick taps." | | 4 | "Then the surface shifted." | | 5 | "Then a final print sank" | | 6 | "Only black roots, vast and" | | 7 | "Then the beam steadied, and" |
| | ratio | 0.054 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 148 | | matches | | 0 | "Her boot slid on a" | | 1 | "She caught the nearest trunk," | | 2 | "she said into the dark" | | 3 | "Her torch cut a narrow" | | 4 | "Their stems bent too far." | | 5 | "Their heads all angled the" | | 6 | "She pulled the pendant free." | | 7 | "It had done that on" | | 8 | "She could still make out" | | 9 | "She knew that sound." | | 10 | "She stopped beside a split" | | 11 | "It absorbed the torch beam" | | 12 | "It sank, heavy as a" | | 13 | "She took a slow breath" | | 14 | "She kept the marked line" | | 15 | "She turned at once, counted" | | 16 | "It was a woman’s laugh," | | 17 | "She let the torch stay" | | 18 | "Her grip tightened on the" | | 19 | "She moved again, slower now," |
| | ratio | 0.216 | |
| 81.62% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 112 | | totalSentences | 148 | | matches | | 0 | "The pendant bit first." | | 1 | "Heat stabbed through Rory's shirt" | | 2 | "Her boot slid on a" | | 3 | "She caught the nearest trunk," | | 4 | "she said into the dark" | | 5 | "Her torch cut a narrow" | | 6 | "Wildflowers crowded the ground in" | | 7 | "The place never obeyed a" | | 8 | "Their stems bent too far." | | 9 | "Their heads all angled the" | | 10 | "She pulled the pendant free." | | 11 | "The crimson stone glowed with" | | 12 | "It had done that on" | | 13 | "The city dropped away behind" | | 14 | "Rory swung the beam back" | | 15 | "The opening had not gone." | | 16 | "She could still make out" | | 17 | "Fae stories only chewed people" | | 18 | "A faint chime rang somewhere" | | 19 | "She knew that sound." |
| | ratio | 0.757 | |
| 33.78% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 148 | | matches | | | ratio | 0.007 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 65 | | technicalSentenceCount | 5 | | matches | | 0 | "Sweetness hung low among the flowers, crushed petals and honey, and under it sat a sour note that pulled the back of her tongue tight." | | 1 | "She let the torch stay fixed on the scar in the bark and waited for the second sound, the double-tap of heels, the huff of breath, any ordinary thing that belon…" | | 2 | "Soil lay open, dark and fine, as though someone had sifted ash through their fingers and spread it flat." | | 3 | "Only black roots, vast and wet, winding over one another around a pit that had no bottom." | | 4 | "All round the clearing, the wildflowers bent low, their faces turned to the split earth as though in prayer." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 78.57% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 14 | | tagDensity | 0.214 | | leniency | 0.429 | | rawRatio | 0.333 | | effectiveRatio | 0.143 | |