| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 1 | | adverbTags | | 0 | "she finally said [finally]" |
| | dialogueSentences | 48 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.042 | | effectiveRatio | 0.042 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1064 | | 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) | |
| 1.32% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1064 | | totalAiIsms | 21 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "testament" | | 1 | "chaotic" | | 2 | "gleaming" | | 3 | "eyebrow" | | 4 | "throbbed" | | 5 | "unreadable" | | 6 | "resolved" | | 7 | "sense of" | | 8 | "weight" | | 9 | "silence" | | 10 | "disrupting" | | 11 | "perfect" | | 12 | "intensity" | | 13 | "pulse" | | 14 | "flicker" | | 15 | "unravel" | | 16 | "shattered" | | 17 | "whisper" | | 18 | "charged" | | 19 | "unspoken" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 69 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 69 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 94 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 5 | | markdownWords | 5 | | totalWords | 1060 | | ratio | 0.005 | | matches | | 0 | "him" | | 1 | "not" | | 2 | "who" | | 3 | "we" | | 4 | "want" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 703 | | uniqueNames | 6 | | maxNameDensity | 1 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 7 | | Ptolemy | 2 | | Eva | 2 | | Old | 1 | | Silence | 1 | | Regret | 1 |
| | persons | | 0 | "Rory" | | 1 | "Ptolemy" | | 2 | "Eva" | | 3 | "Old" | | 4 | "Silence" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 20.69% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like fragments of a dream" | | 1 | "quite decipher" | | 2 | "felt like a physical touch, stirring a" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1060 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 94 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 22.08 | | std | 14.06 | | cv | 0.637 | | sampleLengths | | 0 | 35 | | 1 | 50 | | 2 | 26 | | 3 | 27 | | 4 | 15 | | 5 | 41 | | 6 | 33 | | 7 | 14 | | 8 | 23 | | 9 | 25 | | 10 | 8 | | 11 | 23 | | 12 | 18 | | 13 | 8 | | 14 | 20 | | 15 | 13 | | 16 | 11 | | 17 | 13 | | 18 | 48 | | 19 | 26 | | 20 | 7 | | 21 | 27 | | 22 | 5 | | 23 | 30 | | 24 | 29 | | 25 | 8 | | 26 | 9 | | 27 | 14 | | 28 | 27 | | 29 | 18 | | 30 | 16 | | 31 | 6 | | 32 | 28 | | 33 | 11 | | 34 | 41 | | 35 | 17 | | 36 | 2 | | 37 | 29 | | 38 | 14 | | 39 | 27 | | 40 | 9 | | 41 | 7 | | 42 | 15 | | 43 | 36 | | 44 | 75 | | 45 | 22 | | 46 | 11 | | 47 | 43 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 69 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 124 | | matches | (empty) | |
| 51.67% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 94 | | ratio | 0.032 | | matches | | 0 | "Three deadbolts clicked—a practiced sequence after years living above Silas’ bar and, more recently, escaping Evan." | | 1 | "Books stacked haphazardly on every surface, scrolls unfurled across the table, research notes pinned to a corkboard – a testament to Eva’s chaotic genius." | | 2 | "He flinched—a subtle reaction, but she saw it." |
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| 97.63% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 281 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 12 | | adverbRatio | 0.042704626334519574 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.014234875444839857 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 94 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 94 | | mean | 11.28 | | std | 6.09 | | cv | 0.54 | | sampleLengths | | 0 | 11 | | 1 | 16 | | 2 | 5 | | 3 | 3 | | 4 | 23 | | 5 | 8 | | 6 | 7 | | 7 | 12 | | 8 | 13 | | 9 | 5 | | 10 | 8 | | 11 | 15 | | 12 | 12 | | 13 | 15 | | 14 | 6 | | 15 | 13 | | 16 | 3 | | 17 | 19 | | 18 | 9 | | 19 | 24 | | 20 | 14 | | 21 | 10 | | 22 | 13 | | 23 | 20 | | 24 | 5 | | 25 | 8 | | 26 | 17 | | 27 | 6 | | 28 | 18 | | 29 | 8 | | 30 | 17 | | 31 | 3 | | 32 | 8 | | 33 | 5 | | 34 | 11 | | 35 | 13 | | 36 | 24 | | 37 | 14 | | 38 | 10 | | 39 | 11 | | 40 | 8 | | 41 | 7 | | 42 | 7 | | 43 | 7 | | 44 | 20 | | 45 | 5 | | 46 | 22 | | 47 | 8 | | 48 | 19 | | 49 | 10 |
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| 81.21% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5 | | totalSentences | 94 | | uniqueOpeners | 47 | |
| 99.50% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 67 | | matches | | 0 | "Especially not *him*." | | 1 | "Finally, he ran a hand" |
| | ratio | 0.03 | |
| 17.01% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 67 | | matches | | 0 | "She hadn’t expected a visitor." | | 1 | "he murmured, the sound a" | | 2 | "He hadn’t aged a day." | | 3 | "She kept her voice even," | | 4 | "He gestured with a slight" | | 5 | "It hadn’t changed." | | 6 | "She remembered breathing it in," | | 7 | "He surveyed the flat with" | | 8 | "he commented, his lips curving" | | 9 | "She crossed her arms, a" | | 10 | "He didn’t answer immediately, instead" | | 11 | "He leaned against the doorframe," | | 12 | "His gaze met hers, the" | | 13 | "she pressed, watching for a" | | 14 | "She’d spent weeks after his" | | 15 | "She hadn’t realized how much" | | 16 | "He pushed himself off the" | | 17 | "She paced a small circle," | | 18 | "He stopped pacing with her," | | 19 | "she challenged, refusing to back" |
| | ratio | 0.507 | |
| 19.70% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 67 | | matches | | 0 | "The chipped paint on the" | | 1 | "She hadn’t expected a visitor." | | 2 | "Lucien stood bathed in the" | | 3 | "Platinum hair, slicked back from" | | 4 | "The other, black as pitch," | | 5 | "he murmured, the sound a" | | 6 | "He hadn’t aged a day." | | 7 | "A cruel trick of half-demon" | | 8 | "She kept her voice even," | | 9 | "Ptolemy, Eva’s tabby, wound around" | | 10 | "He gestured with a slight" | | 11 | "Rory stepped back, allowing him" | | 12 | "The scent of sandalwood and" | | 13 | "It hadn’t changed." | | 14 | "She remembered breathing it in," | | 15 | "He surveyed the flat with" | | 16 | "Books stacked haphazardly on every" | | 17 | "he commented, his lips curving" | | 18 | "She crossed her arms, a" | | 19 | "He didn’t answer immediately, instead" |
| | ratio | 0.881 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 20 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 6 | | matches | | 0 | "She kept, refusing to betray the jolt that ran through her" | | 1 | "he commented, his lips curving in a faint smile" | | 2 | "She paced, the floorboards creaking beneath her feet" | | 3 | "she challenged, refusing to back down" | | 4 | "Rory asked, trying to ignore the sudden hammering of her pulse" | | 5 | "she finally said, her voice barely a whisper" |
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| 45.83% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 5 | | fancyTags | | 0 | "he murmured (murmur)" | | 1 | "he commented (comment)" | | 2 | "she pressed (press)" | | 3 | "Rory laughed (laugh)" | | 4 | "she challenged (challenge)" |
| | dialogueSentences | 48 | | tagDensity | 0.146 | | leniency | 0.292 | | rawRatio | 0.714 | | effectiveRatio | 0.208 | |