| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 46 | | tagDensity | 0.326 | | leniency | 0.652 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.44% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1106 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | |
| 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) | |
| 72.88% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1106 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "glint" | | 1 | "silence" | | 2 | "charm" | | 3 | "tracing" |
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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 | 55 | | matches | (empty) | |
| 90.91% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 55 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 84 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1112 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 5 | | wordCount | 656 | | uniqueNames | 3 | | maxNameDensity | 0.3 | | worstName | "Ptolemy" | | maxWindowNameDensity | 0.5 | | worstWindowName | "Ptolemy" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 31 | | 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 | 1112 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 84 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 24.17 | | std | 22.32 | | cv | 0.923 | | sampleLengths | | 0 | 51 | | 1 | 2 | | 2 | 17 | | 3 | 56 | | 4 | 26 | | 5 | 3 | | 6 | 5 | | 7 | 48 | | 8 | 22 | | 9 | 3 | | 10 | 8 | | 11 | 30 | | 12 | 36 | | 13 | 74 | | 14 | 31 | | 15 | 5 | | 16 | 16 | | 17 | 19 | | 18 | 45 | | 19 | 8 | | 20 | 17 | | 21 | 2 | | 22 | 46 | | 23 | 24 | | 24 | 3 | | 25 | 64 | | 26 | 20 | | 27 | 28 | | 28 | 6 | | 29 | 1 | | 30 | 7 | | 31 | 7 | | 32 | 63 | | 33 | 9 | | 34 | 5 | | 35 | 73 | | 36 | 8 | | 37 | 29 | | 38 | 73 | | 39 | 8 | | 40 | 2 | | 41 | 18 | | 42 | 63 | | 43 | 11 | | 44 | 3 | | 45 | 17 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 55 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 124 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 84 | | ratio | 0.06 | | matches | | 0 | "\"I find I rather like it. It suits you better than the others.\" Lucien tilted his head, and the hallway light caught the strange split of his eyes — one amber and warm, one black as a drowned well." | | 1 | "For a moment she let him think she'd shut it on him entirely — let the deadbolt's silence do its work — then she slid the chain free and opened it wide." | | 2 | "Her voice had lost its edge; she hated how thin it came out." | | 3 | "He looked at her then, fully, both eyes fixed on her face, and she felt the old pull of it — the absurd, unfair gravity of him." | | 4 | "He watched it like he'd memorised it once, which he had — she remembered him tracing it in the dark, asking about the bicycle and the garden wall and the seven-year-old version of her who'd worn it home crying." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 654 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.02599388379204893 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.00764525993883792 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 84 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 84 | | mean | 13.24 | | std | 11.3 | | cv | 0.854 | | sampleLengths | | 0 | 25 | | 1 | 8 | | 2 | 4 | | 3 | 14 | | 4 | 2 | | 5 | 5 | | 6 | 12 | | 7 | 39 | | 8 | 17 | | 9 | 12 | | 10 | 1 | | 11 | 13 | | 12 | 3 | | 13 | 5 | | 14 | 12 | | 15 | 36 | | 16 | 4 | | 17 | 18 | | 18 | 3 | | 19 | 8 | | 20 | 14 | | 21 | 16 | | 22 | 4 | | 23 | 32 | | 24 | 21 | | 25 | 32 | | 26 | 21 | | 27 | 6 | | 28 | 25 | | 29 | 5 | | 30 | 10 | | 31 | 6 | | 32 | 5 | | 33 | 14 | | 34 | 8 | | 35 | 37 | | 36 | 4 | | 37 | 4 | | 38 | 17 | | 39 | 2 | | 40 | 46 | | 41 | 4 | | 42 | 13 | | 43 | 3 | | 44 | 4 | | 45 | 3 | | 46 | 6 | | 47 | 11 | | 48 | 47 | | 49 | 5 |
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| 56.75% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.40476190476190477 | | totalSentences | 84 | | uniqueOpeners | 34 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 44 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 44 | | matches | | 0 | "She didn't slide the chain." | | 1 | "She nudged the cat back" | | 2 | "She let the silence stretch," | | 3 | "He exhaled through his nose," | | 4 | "She closed the door." | | 5 | "He took in the chaos" | | 6 | "He set his cane against" | | 7 | "He almost smiled" | | 8 | "She folded her arms" | | 9 | "He didn't make it a" | | 10 | "He crossed to the window" | | 11 | "She remembered those shoulders." | | 12 | "She wished she didn't." | | 13 | "He turned at that." | | 14 | "It was rawer." | | 15 | "His hand found the back" | | 16 | "Her voice had lost its" | | 17 | "He looked at her then," | | 18 | "She'd spent six months reasoning" | | 19 | "He reached into his breast" |
| | ratio | 0.636 | |
| 5.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 40 | | totalSentences | 44 | | matches | | 0 | "The third deadbolt gave way" | | 1 | "A glint of platinum." | | 2 | "An ivory cane balanced against" | | 3 | "She didn't slide the chain." | | 4 | "Lucien tilted his head, and" | | 5 | "Ptolemy wound between her ankles," | | 6 | "She nudged the cat back" | | 7 | "The words landed in her" | | 8 | "She let the silence stretch," | | 9 | "He exhaled through his nose," | | 10 | "She closed the door." | | 11 | "Lucien stepped through like he" | | 12 | "He took in the chaos" | | 13 | "He set his cane against" | | 14 | "The suit was immaculate as" | | 15 | "He almost smiled" | | 16 | "She folded her arms" | | 17 | "He didn't make it a" | | 18 | "He crossed to the window" | | 19 | "She remembered those shoulders." |
| | ratio | 0.909 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 44 | | matches | (empty) | | ratio | 0 | |
| 80.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 2 | | matches | | 0 | "Lucien stepped through like he owned the place, which was his particular gift, making any room feel briefly leased to him." | | 1 | "He watched it like he'd memorised it once, which he had — she remembered him tracing it in the dark, asking about the bicycle and the garden wall and the seven-…" |
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| 91.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 1 | | matches | | 0 | "His mouth twitched, rueful" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 46 | | tagDensity | 0.152 | | leniency | 0.304 | | rawRatio | 0 | | effectiveRatio | 0 | |