| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 76.13% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 419 | | totalAiIsmAdverbs | 2 | | 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 | 419 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "whisper" | | 1 | "pulse" | | 2 | "pulsed" | | 3 | "loomed" | | 4 | "stomach" |
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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 | 41 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 41 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 47 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 23 | | ratio | 0 | | matches | (empty) | |
| 12.95% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 8 | | markdownWords | 39 | | totalWords | 417 | | ratio | 0.094 | | matches | | 0 | "\"You’re late.\"" | | 1 | "\"Where’s the boy?\"" | | 2 | "\"I don’t know what you want,\"" | | 3 | "\"I came here for a reason.\"" | | 4 | "\"You always come for the wrong reason.\"" | | 5 | "\"You’re not supposed to be here.\"" | | 6 | "\"You have to take it,\"" | | 7 | "\"It’s the only way.\"" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 57.41% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 7 | | wordCount | 378 | | uniqueNames | 1 | | maxNameDensity | 1.85 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 0.574 | | windowScore | 1 | |
| 66.67% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 30 | | glossingSentenceCount | 1 | | matches | | 0 | "something like old blood and crushed petals" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 7.194 | | wordCount | 417 | | matches | | 0 | "not wind, not breath, but something else" | | 1 | "not breath, but something else" | | 2 | "Not a boy, but something older, something" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 47 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 19 | | mean | 21.95 | | std | 16.46 | | cv | 0.75 | | sampleLengths | | 0 | 47 | | 1 | 29 | | 2 | 2 | | 3 | 39 | | 4 | 3 | | 5 | 55 | | 6 | 3 | | 7 | 30 | | 8 | 17 | | 9 | 15 | | 10 | 7 | | 11 | 40 | | 12 | 6 | | 13 | 40 | | 14 | 34 | | 15 | 18 | | 16 | 21 | | 17 | 6 | | 18 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 41 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 61 | | matches | (empty) | |
| 21.28% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 47 | | ratio | 0.043 | | matches | | 0 | "A whisper slithered through the trees—not wind, not breath, but something else." | | 1 | "The crimson glow flared, and for a moment, she saw it—the boy." |
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| 91.25% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 380 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.05 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.010526315789473684 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 47 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 47 | | mean | 8.87 | | std | 4.79 | | cv | 0.54 | | sampleLengths | | 0 | 23 | | 1 | 14 | | 2 | 10 | | 3 | 12 | | 4 | 8 | | 5 | 9 | | 6 | 2 | | 7 | 3 | | 8 | 2 | | 9 | 11 | | 10 | 12 | | 11 | 11 | | 12 | 3 | | 13 | 11 | | 14 | 5 | | 15 | 20 | | 16 | 19 | | 17 | 3 | | 18 | 3 | | 19 | 2 | | 20 | 13 | | 21 | 3 | | 22 | 9 | | 23 | 11 | | 24 | 6 | | 25 | 5 | | 26 | 10 | | 27 | 7 | | 28 | 6 | | 29 | 11 | | 30 | 12 | | 31 | 11 | | 32 | 6 | | 33 | 13 | | 34 | 8 | | 35 | 13 | | 36 | 6 | | 37 | 9 | | 38 | 12 | | 39 | 13 | | 40 | 14 | | 41 | 4 | | 42 | 3 | | 43 | 9 | | 44 | 9 | | 45 | 6 | | 46 | 5 |
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| 35.11% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.19148936170212766 | | totalSentences | 47 | | uniqueOpeners | 9 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 39 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 7 | | totalSentences | 39 | | matches | | 0 | "She froze, her pulse hammering" | | 1 | "She exhaled sharply, her fingers" | | 2 | "She reached for the pendant" | | 3 | "she said, her voice rough" | | 4 | "She took a step back," | | 5 | "She reached for the pendant" | | 6 | "She took a breath, her" |
| | ratio | 0.179 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 37 | | totalSentences | 39 | | matches | | 0 | "The air in the grove" | | 1 | "Aurora stepped through the standing" | | 2 | "The moment her boots touched" | | 3 | "A whisper slithered through the" | | 4 | "She froze, her pulse hammering" | | 5 | "The whisper coiled around her" | | 6 | "Aurora didn’t turn." | | 7 | "The voice slithered closer, lower" | | 8 | "She exhaled sharply, her fingers" | | 9 | "The crimson glow pulsed faintly," | | 10 | "The words slithered again, this" | | 11 | "Aurora spun, her breath catching." | | 12 | "The trees stretched too far," | | 13 | "The standing stones loomed ahead," | | 14 | "A shape moved." | | 15 | "A silhouette, too tall, too" | | 16 | "Aurora’s stomach twisted." | | 17 | "She reached for the pendant" | | 18 | "she said, her voice rough" | | 19 | "The thing tilted its head." |
| | ratio | 0.949 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 39 | | matches | (empty) | | ratio | 0 | |
| 67.67% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | technicalSentenceCount | 2 | | matches | | 0 | "The trees stretched too far, their branches twisting unnaturally, as if something had been pulling them this way for years." | | 1 | "Not a boy, but something older, something that had been waiting for her." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, her voice rough" | | 1 | "the thing said, its voice a chorus of whispers" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |