| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 93.73% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 798 | | 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) | |
| 6.02% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 798 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "weight" | | 1 | "pulse" | | 2 | "warmth" | | 3 | "loomed" | | 4 | "whisper" | | 5 | "quickened" | | 6 | "scanning" | | 7 | "pulsed" | | 8 | "silence" | | 9 | "could feel" |
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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 | 101 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 101 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 101 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 13 | | markdownWords | 29 | | totalWords | 785 | | ratio | 0.037 | | matches | | 0 | "Find the Grove when the moon is high," | | 1 | "And bring the pendant." | | 2 | "step." | | 3 | "watching." | | 4 | "flowers." | | 5 | "shape" | | 6 | "Stupid. Stupid, stupid, stupid." | | 7 | "wrong." | | 8 | "around" | | 9 | "feeling," | | 10 | "You shouldn’t have come." | | 11 | "thing" | | 12 | "waiting." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 785 | | uniqueNames | 4 | | maxNameDensity | 0.89 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Grove | 6 | | Rory | 7 | | Heartstone | 1 | | Pendant | 1 |
| | persons | | 0 | "Grove" | | 1 | "Rory" | | 2 | "Pendant" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 1 | | matches | | 0 | "quite match the landscape" |
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| 72.61% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.274 | | wordCount | 785 | | matches | | 0 | "not with a gust, but with a whisper" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 101 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 19.15 | | std | 19.87 | | cv | 1.038 | | sampleLengths | | 0 | 57 | | 1 | 74 | | 2 | 56 | | 3 | 2 | | 4 | 38 | | 5 | 9 | | 6 | 57 | | 7 | 2 | | 8 | 6 | | 9 | 2 | | 10 | 26 | | 11 | 1 | | 12 | 5 | | 13 | 33 | | 14 | 3 | | 15 | 8 | | 16 | 3 | | 17 | 37 | | 18 | 29 | | 19 | 4 | | 20 | 4 | | 21 | 28 | | 22 | 5 | | 23 | 56 | | 24 | 7 | | 25 | 22 | | 26 | 4 | | 27 | 41 | | 28 | 32 | | 29 | 4 | | 30 | 8 | | 31 | 6 | | 32 | 2 | | 33 | 41 | | 34 | 9 | | 35 | 2 | | 36 | 12 | | 37 | 5 | | 38 | 33 | | 39 | 6 | | 40 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 101 | | matches | (empty) | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 135 | | matches | | 0 | "wasn’t telling" | | 1 | "were waiting" | | 2 | "was being" | | 3 | "was *watching" | | 4 | "were moving" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 16 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 101 | | ratio | 0.109 | | matches | | 0 | "Aurora—Rory, to her friends—had always prided herself on her ability to read a room, a city, even a person." | | 1 | "The wind picked up, not with a gust, but with a whisper—too many whispers, overlapping, murmuring in a language just beyond understanding." | | 2 | "The wildflowers here—pale bluebells, goldenrod, something she didn’t recognize—bloomed in defiance of reason, their petals heavy with dew." | | 3 | "Then—another step." | | 4 | "Their stems bent, twisting, forming a path—no, a *shape*—right in front of her." | | 5 | "Not under her feet—*around* her." | | 6 | "A voice—if it could be called that—slithered through the air." | | 7 | "She had to—" | | 8 | "The hand—no, the *thing* wearing her skin—pulled her down." | | 9 | "And then—silence." | | 10 | "She could feel it—the thing beneath her, the thing that had pulled her down, the thing that had been waiting for her to come." |
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| 88.53% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 800 | | adjectiveStacks | 1 | | stackExamples | | 0 | "tiny, needle-thin teeth." |
| | adverbCount | 37 | | adverbRatio | 0.04625 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.00375 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 101 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 101 | | mean | 7.77 | | std | 5.62 | | cv | 0.723 | | sampleLengths | | 0 | 18 | | 1 | 19 | | 2 | 3 | | 3 | 17 | | 4 | 21 | | 5 | 15 | | 6 | 12 | | 7 | 6 | | 8 | 2 | | 9 | 18 | | 10 | 15 | | 11 | 16 | | 12 | 14 | | 13 | 11 | | 14 | 2 | | 15 | 22 | | 16 | 3 | | 17 | 7 | | 18 | 6 | | 19 | 9 | | 20 | 14 | | 21 | 9 | | 22 | 18 | | 23 | 16 | | 24 | 2 | | 25 | 3 | | 26 | 3 | | 27 | 2 | | 28 | 2 | | 29 | 4 | | 30 | 4 | | 31 | 10 | | 32 | 6 | | 33 | 1 | | 34 | 2 | | 35 | 3 | | 36 | 9 | | 37 | 9 | | 38 | 15 | | 39 | 3 | | 40 | 4 | | 41 | 4 | | 42 | 3 | | 43 | 12 | | 44 | 13 | | 45 | 2 | | 46 | 2 | | 47 | 8 | | 48 | 6 | | 49 | 6 |
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| 33.17% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.24752475247524752 | | totalSentences | 101 | | uniqueOpeners | 25 | |
| 77.52% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 86 | | matches | | 0 | "Just that and the faintest" | | 1 | "Then the ground gave way." |
| | ratio | 0.023 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 86 | | matches | | 0 | "She adjusted the strap of" | | 1 | "Her pulse quickened." | | 2 | "She told herself it was" | | 3 | "She followed the winding path" | | 4 | "Her breath came shallow, her" | | 5 | "She turned slowly, scanning the" | | 6 | "She whirled, heart hammering, but" | | 7 | "She exhaled, but the air" | | 8 | "Their stems bent, twisting, forming" | | 9 | "She yanked it free, holding" | | 10 | "She turned and ran." | | 11 | "Her legs ached." | | 12 | "She didn’t dare look back." | | 13 | "She yanked free, but the" | | 14 | "She fell to her knees," | | 15 | "*You shouldn’t have come.*" | | 16 | "She clutched the pendant tighter," | | 17 | "She twisted free, but the" | | 18 | "They all turned toward her," | | 19 | "She had to get out." |
| | ratio | 0.279 | |
| 82.09% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 86 | | matches | | 0 | "The air in the Grove" | | 1 | "Aurora—Rory, to her friends—had always" | | 2 | "This was a living thing," | | 3 | "She adjusted the strap of" | | 4 | "The pendant had been a" | | 5 | "The standing stones loomed ahead," | | 6 | "The moon hung low and" | | 7 | "Rory stepped between the first" | | 8 | "The moment she crossed the" | | 9 | "The wind picked up, not" | | 10 | "Her pulse quickened." | | 11 | "She told herself it was" | | 12 | "She followed the winding path" | | 13 | "The air grew colder, though" | | 14 | "The wildflowers here—pale bluebells, goldenrod," | | 15 | "The path was empty." | | 16 | "The trees stood still." | | 17 | "Her breath came shallow, her" | | 18 | "She turned slowly, scanning the" | | 19 | "She whirled, heart hammering, but" |
| | ratio | 0.756 | |
| 58.14% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 86 | | matches | | 0 | "*And bring the pendant.* No" |
| | ratio | 0.012 | |
| 98.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 2 | | matches | | 0 | "She fell to her knees, scrambling backward, but the Grove seemed to shift with her, the path reforming just as she tried to step away." | | 1 | "They all turned toward her, their petals unfurling, revealing more of those teeth." |
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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 | |