| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 46 | | tagDensity | 0.152 | | leniency | 0.304 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 74.67% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 987 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "sharply" | | 2 | "slowly" |
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| 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) | |
| 18.95% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 987 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "flicked" | | 1 | "unreadable" | | 2 | "silence" | | 3 | "pulse" | | 4 | "weight" | | 5 | "echoing" | | 6 | "eyebrow" | | 7 | "glinting" | | 8 | "stomach" | | 9 | "roaring" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
| | 1 | | label | "clenched jaw/fists" | | count | 1 |
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| | highlights | | 0 | "stomach dropped" | | 1 | "clenched her jaw" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 81 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 81 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 120 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 4 | | totalWords | 982 | | ratio | 0.004 | | matches | | 0 | "Evan Carter." | | 1 | "person." | | 2 | "ex" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 48.35% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 787 | | uniqueNames | 4 | | maxNameDensity | 2.03 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 16 | | Lucien | 15 | | Evan | 2 | | Carter | 2 |
| | persons | | 0 | "Rory" | | 1 | "Lucien" | | 2 | "Evan" | | 3 | "Carter" |
| | places | (empty) | | globalScore | 0.483 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | 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 | 982 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 120 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 18.19 | | std | 15.53 | | cv | 0.854 | | sampleLengths | | 0 | 43 | | 1 | 49 | | 2 | 14 | | 3 | 5 | | 4 | 62 | | 5 | 13 | | 6 | 23 | | 7 | 14 | | 8 | 3 | | 9 | 34 | | 10 | 36 | | 11 | 11 | | 12 | 10 | | 13 | 8 | | 14 | 21 | | 15 | 10 | | 16 | 12 | | 17 | 4 | | 18 | 22 | | 19 | 6 | | 20 | 11 | | 21 | 48 | | 22 | 6 | | 23 | 9 | | 24 | 71 | | 25 | 26 | | 26 | 10 | | 27 | 22 | | 28 | 8 | | 29 | 2 | | 30 | 4 | | 31 | 27 | | 32 | 20 | | 33 | 7 | | 34 | 6 | | 35 | 12 | | 36 | 8 | | 37 | 14 | | 38 | 4 | | 39 | 9 | | 40 | 11 | | 41 | 49 | | 42 | 14 | | 43 | 9 | | 44 | 22 | | 45 | 16 | | 46 | 10 | | 47 | 35 | | 48 | 36 | | 49 | 7 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 81 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 157 | | matches | | |
| 71.43% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 120 | | ratio | 0.025 | | matches | | 0 | "She froze, her fingers hovering over the lock, the scent of rain and something sharper—like ozone after a storm—filling the hallway before she could turn." | | 1 | "But the flat had been quiet—too quiet—and she’d been half-asleep, the weight of the day pressing down on her like a wet blanket." | | 2 | "Or maybe it was just the way he’d looked at her when she’d first opened the door—like he’d been waiting for her to do exactly that." |
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| 94.12% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 792 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.04671717171717172 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.010101010101010102 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 120 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 120 | | mean | 8.18 | | std | 6.36 | | cv | 0.778 | | sampleLengths | | 0 | 18 | | 1 | 25 | | 2 | 21 | | 3 | 18 | | 4 | 10 | | 5 | 14 | | 6 | 3 | | 7 | 2 | | 8 | 11 | | 9 | 11 | | 10 | 5 | | 11 | 12 | | 12 | 23 | | 13 | 10 | | 14 | 3 | | 15 | 12 | | 16 | 11 | | 17 | 8 | | 18 | 6 | | 19 | 3 | | 20 | 2 | | 21 | 26 | | 22 | 6 | | 23 | 9 | | 24 | 16 | | 25 | 11 | | 26 | 6 | | 27 | 5 | | 28 | 5 | | 29 | 5 | | 30 | 6 | | 31 | 2 | | 32 | 16 | | 33 | 5 | | 34 | 6 | | 35 | 4 | | 36 | 4 | | 37 | 6 | | 38 | 2 | | 39 | 4 | | 40 | 4 | | 41 | 18 | | 42 | 3 | | 43 | 3 | | 44 | 9 | | 45 | 2 | | 46 | 27 | | 47 | 21 | | 48 | 2 | | 49 | 4 |
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| 44.17% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.3 | | totalSentences | 120 | | uniqueOpeners | 36 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 77 | | matches | | 0 | "Instead, his gaze dropped to" | | 1 | "Maybe it was the way" | | 2 | "Maybe it was the way" |
| | ratio | 0.039 | |
| 69.35% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 77 | | matches | | 0 | "She froze, her fingers hovering" | | 1 | "His platinum blond hair was" | | 2 | "She should’ve locked the door." | | 3 | "she corrected, though the word" | | 4 | "She turned, grabbing a mug" | | 5 | "he agreed, his voice low" | | 6 | "She set the mug down" | | 7 | "His cane tapped again, once," | | 8 | "She turned, leaning against the" | | 9 | "She pushed off the counter," | | 10 | "he said, gesturing vaguely at" | | 11 | "She opened her mouth, then" | | 12 | "She didn’t know why she’d" | | 13 | "She followed his gaze, her" | | 14 | "He unfolded it slowly, revealing" | | 15 | "She didn’t need to ask" | | 16 | "She’d known the moment he’d" | | 17 | "Her fingers curled into fists." | | 18 | "She turned away, her back" | | 19 | "She wanted to deny it." |
| | ratio | 0.377 | |
| 31.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 77 | | matches | | 0 | "The door creaked open before" | | 1 | "She froze, her fingers hovering" | | 2 | "Lucien stood there, his cane" | | 3 | "His platinum blond hair was" | | 4 | "Rory said, her voice steadier" | | 5 | "Lucien didn’t move." | | 6 | "The words hung between them," | | 7 | "Rory exhaled through her nose," | | 8 | "She should’ve locked the door." | | 9 | "Lucien stepped inside, his boots" | | 10 | "Rory crossed her arms, her" | | 11 | "A ghost of a smile" | | 12 | "she corrected, though the word" | | 13 | "She turned, grabbing a mug" | | 14 | "The faucet dripped loudly, the" | | 15 | "Lucien watched her, his expression" | | 16 | "Rory didn’t look at him." | | 17 | "he agreed, his voice low" | | 18 | "She set the mug down" | | 19 | "His cane tapped again, once," |
| | ratio | 0.857 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 1 | | matches | | 0 | "Lucien stood there, his cane tapping once against the linoleum, the ivory handle catching the dim light from the streetlamp outside." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 5 | | matches | | 0 | "Rory said, her voice steadier than she felt" | | 1 | "she corrected, though the word tasted bitter" | | 2 | "he agreed, his voice low" | | 3 | "Lucien corrected, his voice smooth" | | 4 | "she said, her voice low" |
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| 84.78% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 3 | | fancyTags | | 0 | "she corrected (correct)" | | 1 | "he agreed (agree)" | | 2 | "Lucien corrected (correct)" |
| | dialogueSentences | 46 | | tagDensity | 0.13 | | leniency | 0.261 | | rawRatio | 0.5 | | effectiveRatio | 0.13 | |