| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 6 | | adverbTags | | 0 | "His fingers tightened around [around]" | | 1 | "She gestured vaguely [vaguely]" | | 2 | "she said finally [finally]" | | 3 | "she said softly [softly]" | | 4 | "Silas said quietly [quietly]" | | 5 | "she said suddenly [suddenly]" |
| | dialogueSentences | 53 | | tagDensity | 0.302 | | leniency | 0.604 | | rawRatio | 0.375 | | effectiveRatio | 0.226 | |
| 76.94% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1301 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slightly" | | 1 | "slowly" | | 2 | "softly" | | 3 | "really" | | 4 | "suddenly" |
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| 80.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 42.35% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1301 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "flickered" | | 1 | "weight" | | 2 | "unreadable" | | 3 | "flicked" | | 4 | "silence" | | 5 | "shattered" | | 6 | "wavered" | | 7 | "measured" | | 8 | "could feel" | | 9 | "unspoken" | | 10 | "reminder" |
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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 | 122 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 122 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 157 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 7 | | markdownWords | 17 | | totalWords | 1294 | | ratio | 0.013 | | matches | | 0 | "The Raven’s Nest" | | 1 | "How?" | | 2 | "Contact me. Tonight. Midnight. The back room." | | 3 | "The Raven’s Nest" | | 4 | "thud" | | 5 | "her" | | 6 | "1998" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 1053 | | uniqueNames | 7 | | maxNameDensity | 0.95 | | worstName | "Silas" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 2 | | London | 1 | | Carter | 1 | | Blackwood | 1 | | Silas | 10 | | Yu-Fei | 1 | | Rory | 2 |
| | persons | | 0 | "Raven" | | 1 | "Carter" | | 2 | "Blackwood" | | 3 | "Silas" | | 4 | "Yu-Fei" | | 5 | "Rory" |
| | places | | | globalScore | 1 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 73 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.773 | | wordCount | 1294 | | matches | | 0 | "Not just from age, but like it had been worn down by something sharper" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 157 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 65 | | mean | 19.91 | | std | 17.44 | | cv | 0.876 | | sampleLengths | | 0 | 96 | | 1 | 83 | | 2 | 40 | | 3 | 1 | | 4 | 23 | | 5 | 11 | | 6 | 20 | | 7 | 24 | | 8 | 13 | | 9 | 31 | | 10 | 9 | | 11 | 11 | | 12 | 12 | | 13 | 6 | | 14 | 15 | | 15 | 43 | | 16 | 17 | | 17 | 7 | | 18 | 9 | | 19 | 54 | | 20 | 16 | | 21 | 8 | | 22 | 14 | | 23 | 17 | | 24 | 36 | | 25 | 10 | | 26 | 30 | | 27 | 4 | | 28 | 2 | | 29 | 10 | | 30 | 30 | | 31 | 4 | | 32 | 4 | | 33 | 19 | | 34 | 23 | | 35 | 3 | | 36 | 69 | | 37 | 21 | | 38 | 13 | | 39 | 14 | | 40 | 12 | | 41 | 15 | | 42 | 22 | | 43 | 19 | | 44 | 8 | | 45 | 14 | | 46 | 28 | | 47 | 24 | | 48 | 11 | | 49 | 21 |
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| 93.76% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 122 | | matches | | 0 | "was streaked" | | 1 | "been worn" | | 2 | "were spun" | | 3 | "been handled" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 200 | | matches | (empty) | |
| 51.87% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 157 | | ratio | 0.032 | | matches | | 0 | "Inside, the air smelled of aged whiskey and something older—dust, maybe, or the faint metallic tang of secrets left too long in the dark." | | 1 | "This one—she wasn’t sure what this one was yet." | | 2 | "She remembered the way he’d used to talk like that—like he knew things before they happened." | | 3 | "The back room of *The Raven’s Nest* was exactly as she remembered it—dark, the air thick with the scent of old wood and something sharper, like ozone before a storm." | | 4 | "In it, a younger Silas stood beside a woman—tall, dark-haired, her smile sharp and knowing." |
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| 97.86% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 377 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.042440318302387266 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.002652519893899204 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 157 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 157 | | mean | 8.24 | | std | 5.92 | | cv | 0.719 | | sampleLengths | | 0 | 23 | | 1 | 24 | | 2 | 14 | | 3 | 30 | | 4 | 5 | | 5 | 19 | | 6 | 26 | | 7 | 19 | | 8 | 19 | | 9 | 2 | | 10 | 18 | | 11 | 11 | | 12 | 9 | | 13 | 1 | | 14 | 7 | | 15 | 14 | | 16 | 2 | | 17 | 7 | | 18 | 4 | | 19 | 14 | | 20 | 6 | | 21 | 7 | | 22 | 16 | | 23 | 1 | | 24 | 8 | | 25 | 5 | | 26 | 23 | | 27 | 8 | | 28 | 6 | | 29 | 3 | | 30 | 5 | | 31 | 3 | | 32 | 1 | | 33 | 2 | | 34 | 3 | | 35 | 5 | | 36 | 4 | | 37 | 6 | | 38 | 5 | | 39 | 7 | | 40 | 3 | | 41 | 8 | | 42 | 8 | | 43 | 20 | | 44 | 7 | | 45 | 8 | | 46 | 9 | | 47 | 4 | | 48 | 3 | | 49 | 6 |
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| 50.96% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3248407643312102 | | totalSentences | 157 | | uniqueOpeners | 51 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 112 | | matches | | 0 | "Somewhere, a glass shattered." | | 1 | "Instead, she reached for the" | | 2 | "Then, slowly, he reached into" | | 3 | "Instead, she asked the question" | | 4 | "Instead, she asked the question" | | 5 | "Then, slowly, he reached into" |
| | ratio | 0.054 | |
| 45.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 49 | | totalSentences | 112 | | matches | | 0 | "His auburn hair was streaked" | | 1 | "He didn’t look up when" | | 2 | "She slid into the booth" | | 3 | "He chuckled, low and dry" | | 4 | "His fingers tightened around the" | | 5 | "She gestured vaguely at the" | | 6 | "His gaze flicked to the" | | 7 | "She hadn’t noticed him seeing" | | 8 | "She pulled her arm back" | | 9 | "It was just…" | | 10 | "she said finally" | | 11 | "She wanted to ask him" | | 12 | "He took a slow sip" | | 13 | "She didn’t look up." | | 14 | "He set his glass down" | | 15 | "She remembered the way he’d" | | 16 | "He’d always been the one" | | 17 | "she said, keeping her voice" | | 18 | "He didn’t smile." | | 19 | "She exhaled through her nose," |
| | ratio | 0.438 | |
| 93.93% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 82 | | totalSentences | 112 | | matches | | 0 | "The green neon sign of" | | 1 | "Rory Carter paused on the" | | 2 | "The place looked the same" | | 3 | "Silas Blackwood sat in his" | | 4 | "His auburn hair was streaked" | | 5 | "He didn’t look up when" | | 6 | "The signet ring on his" | | 7 | "The last time she’d been" | | 8 | "That girl had been reckless," | | 9 | "This one—she wasn’t sure what" | | 10 | "The voice was rougher than" | | 11 | "She slid into the booth" | | 12 | "He chuckled, low and dry" | | 13 | "His fingers tightened around the" | | 14 | "She gestured vaguely at the" | | 15 | "His gaze flicked to the" | | 16 | "She hadn’t noticed him seeing" | | 17 | "She pulled her arm back" | | 18 | "The word wasn’t accusatory" | | 19 | "It was just…" |
| | ratio | 0.732 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 6 | | totalSentences | 112 | | matches | | 0 | "Because she already knew." | | 1 | "To tell him that some" | | 2 | "To touch his arm, his" | | 3 | "Because some things couldn’t be" | | 4 | "To dig deeper." | | 5 | "Because some wounds didn’t heal." |
| | ratio | 0.054 | |
| 81.63% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 3 | | matches | | 0 | "His auburn hair was streaked with silver now, his beard trimmed tighter than she remembered, as if he’d spent years shaving against the weight of something." | | 1 | "Instead, she reached for the menu on the table, though she knew by heart which dishes Yu-Fei’s chefs made best." | | 2 | "She could feel the past pressing down on them, the weight of years, of choices, of things that couldn’t be undone." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 53 | | tagDensity | 0.17 | | leniency | 0.34 | | rawRatio | 0.111 | | effectiveRatio | 0.038 | |