| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "The name tasted like [like]" |
| | dialogueSentences | 38 | | tagDensity | 0.316 | | leniency | 0.632 | | rawRatio | 0.083 | | effectiveRatio | 0.053 | |
| 78.81% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 944 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "softly" | | 1 | "slightly" | | 2 | "slowly" |
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| 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) | |
| 9.96% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 944 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "flickered" | | 1 | "scanned" | | 2 | "gleaming" | | 3 | "stomach" | | 4 | "unreadable" | | 5 | "weight" | | 6 | "familiar" | | 7 | "silence" | | 8 | "dance" | | 9 | "pulse" | | 10 | "tracing" | | 11 | "flicked" | | 12 | "charged" | | 13 | "unspoken" | | 14 | "measured" |
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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 | 73 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 73 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 98 | | 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 | 2 | | markdownWords | 4 | | totalWords | 930 | | ratio | 0.004 | | matches | | 0 | "The Raven’s Nest" | | 1 | "clink" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 722 | | uniqueNames | 7 | | maxNameDensity | 1.66 | | worstName | "Silas" | | maxWindowNameDensity | 3 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Blackwood | 1 | | Silas | 12 | | Rory | 11 | | Evan | 1 | | Cardiff | 1 | | Eva | 1 |
| | persons | | 0 | "Raven" | | 1 | "Blackwood" | | 2 | "Silas" | | 3 | "Rory" | | 4 | "Evan" | | 5 | "Eva" |
| | places | | | globalScore | 0.669 | | windowScore | 0.667 | |
| 98.98% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | glossingSentenceCount | 1 | | matches | | 0 | "tasted like something left unsaid" |
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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 | 930 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 98 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 22.14 | | std | 18.31 | | cv | 0.827 | | sampleLengths | | 0 | 72 | | 1 | 71 | | 2 | 4 | | 3 | 81 | | 4 | 3 | | 5 | 19 | | 6 | 29 | | 7 | 51 | | 8 | 43 | | 9 | 16 | | 10 | 15 | | 11 | 8 | | 12 | 29 | | 13 | 19 | | 14 | 23 | | 15 | 11 | | 16 | 9 | | 17 | 15 | | 18 | 38 | | 19 | 15 | | 20 | 13 | | 21 | 21 | | 22 | 33 | | 23 | 7 | | 24 | 21 | | 25 | 33 | | 26 | 24 | | 27 | 15 | | 28 | 28 | | 29 | 9 | | 30 | 18 | | 31 | 11 | | 32 | 7 | | 33 | 31 | | 34 | 14 | | 35 | 7 | | 36 | 23 | | 37 | 9 | | 38 | 23 | | 39 | 6 | | 40 | 4 | | 41 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 73 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 135 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 98 | | ratio | 0.092 | | matches | | 0 | "Inside, the air smelled of aged whiskey and something older—dust, ink, the faint metallic tang of old secrets." | | 1 | "The usual hum of conversation, the clink of glasses, the low murmur of laughter—all of it muted, as if the place itself had exhaled." | | 2 | "His auburn hair, once a bold chestnut, was now streaked with silver, and his beard—neat, always—had a few more threads of grey woven through it." | | 3 | "His hazel eyes—sharp as they’d always been—locked onto hers, unreadable." | | 4 | "The scent of him was familiar—leather, pipe tobacco, something earthy, like damp soil after rain." | | 5 | "Silas took a slow sip, his gaze flickering to the scar on her wrist—the one she’d gotten when she was twelve, climbing a tree to prove she could." | | 6 | "It was a map—hand-drawn, ink smudged in places." | | 7 | "“You always could find things out.” Rory’s gaze flicked to the signet ring on his right hand—the one she’d never seen him without." | | 8 | "She opened her mouth to ask what he meant—" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 735 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.036734693877551024 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.009523809523809525 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 98 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 98 | | mean | 9.49 | | std | 6.37 | | cv | 0.671 | | sampleLengths | | 0 | 24 | | 1 | 18 | | 2 | 16 | | 3 | 14 | | 4 | 7 | | 5 | 24 | | 6 | 16 | | 7 | 5 | | 8 | 6 | | 9 | 13 | | 10 | 4 | | 11 | 20 | | 12 | 25 | | 13 | 22 | | 14 | 14 | | 15 | 3 | | 16 | 5 | | 17 | 8 | | 18 | 6 | | 19 | 3 | | 20 | 4 | | 21 | 10 | | 22 | 8 | | 23 | 4 | | 24 | 13 | | 25 | 15 | | 26 | 17 | | 27 | 6 | | 28 | 28 | | 29 | 5 | | 30 | 10 | | 31 | 12 | | 32 | 4 | | 33 | 12 | | 34 | 3 | | 35 | 5 | | 36 | 3 | | 37 | 4 | | 38 | 25 | | 39 | 14 | | 40 | 5 | | 41 | 9 | | 42 | 14 | | 43 | 8 | | 44 | 3 | | 45 | 6 | | 46 | 3 | | 47 | 11 | | 48 | 4 | | 49 | 3 |
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| 55.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.3877551020408163 | | totalSentences | 98 | | uniqueOpeners | 38 | |
| 95.24% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 70 | | matches | | 0 | "Then she saw him." | | 1 | "Instead, she reached into her" |
| | ratio | 0.029 | |
| 94.29% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 70 | | matches | | 0 | "She scanned the dimly lit" | | 1 | "His auburn hair, once a" | | 2 | "He wore a dark suit," | | 3 | "His left leg gave a" | | 4 | "she said, stepping forward" | | 5 | "Her voice sounded too loud" | | 6 | "He didn’t have to." | | 7 | "His hazel eyes—sharp as they’d" | | 8 | "She slid into the stool" | | 9 | "she said, nudging a half-empty" | | 10 | "He set the glass down" | | 11 | "She laughed, sharp and brittle." | | 12 | "He repeated the words like" | | 13 | "She didn’t answer." | | 14 | "She’d thought she’d left all" | | 15 | "He leaned forward slightly, his" | | 16 | "She’d come back for Eva." | | 17 | "It was a map—hand—drawn, ink" | | 18 | "He didn’t look up." | | 19 | "She didn’t answer." |
| | ratio | 0.314 | |
| 24.29% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 70 | | matches | | 0 | "The green neon sign of" | | 1 | "Rory paused on the threshold," | | 2 | "The bell above the door" | | 3 | "The bar was quieter than" | | 4 | "The usual hum of conversation," | | 5 | "She scanned the dimly lit" | | 6 | "The back corner was empty." | | 7 | "The booth by the jukebox," | | 8 | "The long bar stretched ahead," | | 9 | "Silas Blackwood sat at the" | | 10 | "His auburn hair, once a" | | 11 | "He wore a dark suit," | | 12 | "His left leg gave a" | | 13 | "Rory’s stomach twisted." | | 14 | "she said, stepping forward" | | 15 | "Her voice sounded too loud" | | 16 | "Silas didn’t smile." | | 17 | "He didn’t have to." | | 18 | "His hazel eyes—sharp as they’d" | | 19 | "The name tasted like something" |
| | ratio | 0.871 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 70 | | matches | (empty) | | ratio | 0 | |
| 85.71% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 2 | | matches | | 0 | "The usual hum of conversation, the clink of glasses, the low murmur of laughter—all of it muted, as if the place itself had exhaled." | | 1 | "Silas took a slow sip, his gaze flickering to the scar on her wrist—the one she’d gotten when she was twelve, climbing a tree to prove she could." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 2 | | matches | | 0 | "Silas asked, his voice low" | | 1 | "He leaned, his voice dropping" |
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| 97.37% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 2 | | fancyTags | | 0 | "he murmured (murmur)" | | 1 | "He repeated (repeat)" |
| | dialogueSentences | 38 | | tagDensity | 0.158 | | leniency | 0.316 | | rawRatio | 0.333 | | effectiveRatio | 0.105 | |