| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 90.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 517 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 517 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "loomed" | | 1 | "sentinels" | | 2 | "warmth" | | 3 | "pulse" | | 4 | "scanning" | | 5 | "whisper" | | 6 | "pulsed" | | 7 | "rhythmic" | | 8 | "flicker" | | 9 | "stomach" | | 10 | "silence" |
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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) | |
| 84.15% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 73 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 73 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 23 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 6 | | markdownWords | 11 | | totalWords | 515 | | ratio | 0.021 | | matches | | 0 | "Heartstone." | | 1 | "don’t go back to the grove" | | 2 | "Paranoia." | | 3 | "thump" | | 4 | "feeling" | | 5 | "waiting" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 82.04% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 10 | | wordCount | 515 | | uniqueNames | 2 | | maxNameDensity | 1.36 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 0.82 | | windowScore | 1 | |
| 14.86% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 37 | | glossingSentenceCount | 2 | | matches | | 0 | "as if reacting to something she couldn’t see" | | 1 | "as if reaching" |
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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 | 515 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 73 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 24 | | mean | 21.46 | | std | 18.73 | | cv | 0.873 | | sampleLengths | | 0 | 81 | | 1 | 40 | | 2 | 41 | | 3 | 4 | | 4 | 28 | | 5 | 1 | | 6 | 20 | | 7 | 25 | | 8 | 48 | | 9 | 3 | | 10 | 26 | | 11 | 39 | | 12 | 22 | | 13 | 26 | | 14 | 17 | | 15 | 22 | | 16 | 1 | | 17 | 3 | | 18 | 23 | | 19 | 5 | | 20 | 27 | | 21 | 7 | | 22 | 3 | | 23 | 3 |
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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 | 1 | | totalVerbs | 93 | | matches | | |
| 25.44% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 73 | | ratio | 0.041 | | matches | | 0 | "Eva had warned her—*don’t go back to the grove*—but Rory had needed answers." | | 1 | "Then—movement." | | 2 | "Then—silence." |
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| 84.23% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 517 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.058027079303675046 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.007736943907156673 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 73 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 73 | | mean | 7.05 | | std | 4.69 | | cv | 0.664 | | sampleLengths | | 0 | 23 | | 1 | 16 | | 2 | 19 | | 3 | 9 | | 4 | 14 | | 5 | 12 | | 6 | 3 | | 7 | 7 | | 8 | 13 | | 9 | 5 | | 10 | 10 | | 11 | 2 | | 12 | 3 | | 13 | 3 | | 14 | 7 | | 15 | 16 | | 16 | 4 | | 17 | 6 | | 18 | 5 | | 19 | 8 | | 20 | 9 | | 21 | 1 | | 22 | 5 | | 23 | 15 | | 24 | 2 | | 25 | 10 | | 26 | 2 | | 27 | 2 | | 28 | 9 | | 29 | 3 | | 30 | 8 | | 31 | 13 | | 32 | 14 | | 33 | 10 | | 34 | 3 | | 35 | 4 | | 36 | 5 | | 37 | 2 | | 38 | 15 | | 39 | 1 | | 40 | 7 | | 41 | 4 | | 42 | 4 | | 43 | 3 | | 44 | 9 | | 45 | 11 | | 46 | 7 | | 47 | 3 | | 48 | 2 | | 49 | 10 |
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| 37.90% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.3013698630136986 | | totalSentences | 73 | | uniqueOpeners | 22 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 63 | | matches | | 0 | "Too many questions." | | 1 | "Too many voices whispering in" | | 2 | "Then the first sound." | | 3 | "Too much silence." | | 4 | "Only the grove." | | 5 | "Only the waiting." |
| | ratio | 0.095 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 63 | | matches | | 0 | "Her fingers twitched at her" | | 1 | "She’d come alone, like she" | | 2 | "Her pulse jumped, but she" | | 3 | "She turned slowly, scanning the" | | 4 | "She exhaled, shaking her head." | | 5 | "She swallowed hard, forcing herself" | | 6 | "She spun, heart hammering." | | 7 | "She backed up, her heel" | | 8 | "She stumbled, but caught herself," | | 9 | "She turned in a slow" | | 10 | "It was *waiting*." | | 11 | "She had to get out." | | 12 | "She clutched it tighter, her" | | 13 | "She took a step forward," | | 14 | "She turned, but there was" |
| | ratio | 0.238 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 45 | | totalSentences | 63 | | matches | | 0 | "The oak standing stones loomed" | | 1 | "The grove swallowed her whole," | | 2 | "Her fingers twitched at her" | | 3 | "*Heartstone.* She’d been told it" | | 4 | "She’d come alone, like she" | | 5 | "Eva had warned her—*don’t go" | | 6 | "The path narrowed, roots coiling" | | 7 | "Her pulse jumped, but she" | | 8 | "The pendant glowed brighter, just" | | 9 | "A wet, clicking noise, too" | | 10 | "Rory froze, every muscle locking." | | 11 | "The air smelled sharper, metallic" | | 12 | "She turned slowly, scanning the" | | 13 | "She exhaled, shaking her head." | | 14 | "*Paranoia.* But her fingers dug" | | 15 | "This time, a whisper, just" | | 16 | "Rory’s breath hitched." | | 17 | "She swallowed hard, forcing herself" | | 18 | "The deeper she went, the" | | 19 | "Branches that hadn’t been there" |
| | ratio | 0.714 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 1 | | matches | | 0 | "The oak standing stones loomed like silent sentinels as Rory stepped past the last one, her breath fogging in the crisp night air." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |