| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 51 | | tagDensity | 0.196 | | leniency | 0.392 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.92% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1226 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 42.90% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1226 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "flickered" | | 1 | "familiar" | | 2 | "glinting" | | 3 | "eyebrow" | | 4 | "footsteps" | | 5 | "tension" | | 6 | "sentinel" | | 7 | "flicked" | | 8 | "silence" | | 9 | "stomach" | | 10 | "weight" |
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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 | 126 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 126 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 164 | | 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 | 10 | | markdownWords | 12 | | totalWords | 1217 | | ratio | 0.01 | | matches | | 0 | "The Raven’s Nest" | | 1 | "Evan." | | 2 | "her" | | 3 | "known" | | 4 | "Eva." | | 5 | "begged" | | 6 | "okay" | | 7 | "know" | | 8 | "miss" | | 9 | "know" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 936 | | uniqueNames | 7 | | maxNameDensity | 1.18 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Evan" | | discoveredNames | | Raven | 1 | | London | 1 | | Rory | 11 | | Evan | 10 | | Swallowed | 1 | | Silas | 5 | | Like | 4 |
| | persons | | 0 | "Raven" | | 1 | "Rory" | | 2 | "Evan" | | 3 | "Silas" |
| | places | | | globalScore | 0.912 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | 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 | 1217 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 164 | | matches | | 0 | "chose that moment" | | 1 | "scream that he’d" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 74 | | mean | 16.45 | | std | 13.5 | | cv | 0.821 | | sampleLengths | | 0 | 57 | | 1 | 48 | | 2 | 34 | | 3 | 4 | | 4 | 32 | | 5 | 3 | | 6 | 37 | | 7 | 1 | | 8 | 49 | | 9 | 15 | | 10 | 13 | | 11 | 1 | | 12 | 9 | | 13 | 5 | | 14 | 10 | | 15 | 16 | | 16 | 4 | | 17 | 57 | | 18 | 11 | | 19 | 8 | | 20 | 16 | | 21 | 8 | | 22 | 16 | | 23 | 17 | | 24 | 13 | | 25 | 19 | | 26 | 12 | | 27 | 39 | | 28 | 16 | | 29 | 6 | | 30 | 7 | | 31 | 19 | | 32 | 3 | | 33 | 14 | | 34 | 43 | | 35 | 4 | | 36 | 4 | | 37 | 8 | | 38 | 5 | | 39 | 1 | | 40 | 34 | | 41 | 9 | | 42 | 25 | | 43 | 16 | | 44 | 39 | | 45 | 20 | | 46 | 17 | | 47 | 15 | | 48 | 14 | | 49 | 37 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 126 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 187 | | matches | | |
| 55.75% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 164 | | ratio | 0.03 | | matches | | 0 | "He glanced up, nodded once—no words needed—and slid a half-pint of bitter toward her usual spot at the far end." | | 1 | "Something about the set of his shoulders, the way his fingers drummed restlessly against the glass—" | | 2 | "And he chose that moment to shift, just slightly, enough for the light to catch the angle of his jaw, the old scar above his eyebrow—" | | 3 | "Walk out, lose herself in the rain, pretend she’d never—" | | 4 | "But his eyes—still that unnerving pale green, still too knowing—locked onto hers." |
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| 99.74% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 943 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.04029692470837752 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.006362672322375398 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 164 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 164 | | mean | 7.42 | | std | 5.82 | | cv | 0.785 | | sampleLengths | | 0 | 21 | | 1 | 17 | | 2 | 19 | | 3 | 13 | | 4 | 15 | | 5 | 20 | | 6 | 15 | | 7 | 9 | | 8 | 10 | | 9 | 4 | | 10 | 16 | | 11 | 16 | | 12 | 1 | | 13 | 2 | | 14 | 5 | | 15 | 6 | | 16 | 26 | | 17 | 1 | | 18 | 6 | | 19 | 18 | | 20 | 20 | | 21 | 5 | | 22 | 15 | | 23 | 3 | | 24 | 10 | | 25 | 1 | | 26 | 4 | | 27 | 1 | | 28 | 1 | | 29 | 3 | | 30 | 3 | | 31 | 2 | | 32 | 3 | | 33 | 1 | | 34 | 6 | | 35 | 5 | | 36 | 2 | | 37 | 6 | | 38 | 3 | | 39 | 4 | | 40 | 4 | | 41 | 30 | | 42 | 11 | | 43 | 12 | | 44 | 11 | | 45 | 2 | | 46 | 6 | | 47 | 8 | | 48 | 6 | | 49 | 2 |
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| 51.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.3353658536585366 | | totalSentences | 164 | | uniqueOpeners | 55 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 111 | | matches | | 0 | "Then she saw him." | | 1 | "Just nodded, staring into his" | | 2 | "Instead, she drained her pint" | | 3 | "Just stared at his hands," |
| | ratio | 0.036 | |
| 65.05% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 111 | | matches | | 0 | "He glanced up, nodded once—no" | | 1 | "She exhaled, watching her breath" | | 2 | "She turned away, heart hammering." | | 3 | "She’d left him bleeding on" | | 4 | "She should leave." | | 5 | "His voice was different." | | 6 | "She didn’t turn." | | 7 | "She finally looked up." | | 8 | "His dark hair was longer," | | 9 | "she asked, voice low" | | 10 | "His gaze flicked between them," | | 11 | "She took a slow sip," | | 12 | "He rubbed the back of" | | 13 | "He’d come to her." | | 14 | "He could damn well explain" | | 15 | "She flexed her fingers under" | | 16 | "His jaw tightened." | | 17 | "He didn’t argue." | | 18 | "He cut himself off, shook" | | 19 | "It made her uneasy." |
| | ratio | 0.387 | |
| 36.58% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 94 | | totalSentences | 111 | | matches | | 0 | "The green neon sign of" | | 1 | "Rory ducked under the awning," | | 2 | "The familiar scent of aged" | | 3 | "Silas stood behind the counter," | | 4 | "He glanced up, nodded once—no" | | 5 | "Rory peeled off her gloves," | | 6 | "The first sip burned, sharp" | | 7 | "She exhaled, watching her breath" | | 8 | "A man sat hunched over" | | 9 | "Something about the set of" | | 10 | "She turned away, heart hammering." | | 11 | "Rory’s grip tightened around her" | | 12 | "The last time she’d seen" | | 13 | "She’d left him bleeding on" | | 14 | "That was three years ago." | | 15 | "She should leave." | | 16 | "His voice was different." | | 17 | "She didn’t turn." | | 18 | "A chair scraped." | | 19 | "The heat of him too" |
| | ratio | 0.847 | |
| 45.05% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 111 | | matches | | | ratio | 0.009 | |
| 99.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 2 | | matches | | 0 | "The sharp edges of his face had softened, his once-lean frame filled out with muscle that looked earned, not the wiry tension of a man always spoiling for a fig…" | | 1 | "This man held himself like someone who’d learned the weight of his own body." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 2 | | matches | | 0 | "she asked, voice low" | | 1 | "He leaned, voice raw" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 51 | | tagDensity | 0.059 | | leniency | 0.118 | | rawRatio | 0 | | effectiveRatio | 0 | |