| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 49 | | tagDensity | 0.367 | | leniency | 0.735 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.98% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1243 | | 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) | |
| 59.77% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1243 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "warmth" | | 1 | "wavering" | | 2 | "stomach" | | 3 | "lurched" | | 4 | "whisper" | | 5 | "pulsed" | | 6 | "footsteps" | | 7 | "sanctuary" |
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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 | 118 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 118 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 148 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1243 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 34.09% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 949 | | uniqueNames | 7 | | maxNameDensity | 2.32 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Nyx | 8 | | October | 1 | | Richmond | 1 | | Park | 1 | | Rory | 22 | | Heartstone | 1 | | Isolde | 3 |
| | persons | | | places | | | globalScore | 0.341 | | windowScore | 0.667 | |
| 5.07% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | glossingSentenceCount | 4 | | matches | | 0 | "Not quite blue, not quite violet" | | 1 | "not quite violet" | | 2 | "as if waiting" | | 3 | "quite welcome, wasn't quite warning" | | 4 | "quite warning" | | 5 | "quite recall" | | 6 | "sounded like wind through leaves, like wat" |
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| 39.10% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.609 | | wordCount | 1243 | | matches | | 0 | "Not the cold of winter, but something older, something" | | 1 | "not the grey of the ones outside, but pale as bone, smooth as river glass" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 148 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 23.45 | | std | 19.44 | | cv | 0.829 | | sampleLengths | | 0 | 44 | | 1 | 4 | | 2 | 37 | | 3 | 20 | | 4 | 14 | | 5 | 8 | | 6 | 65 | | 7 | 50 | | 8 | 23 | | 9 | 32 | | 10 | 6 | | 11 | 12 | | 12 | 60 | | 13 | 3 | | 14 | 8 | | 15 | 13 | | 16 | 10 | | 17 | 54 | | 18 | 36 | | 19 | 4 | | 20 | 34 | | 21 | 37 | | 22 | 4 | | 23 | 1 | | 24 | 4 | | 25 | 24 | | 26 | 35 | | 27 | 25 | | 28 | 49 | | 29 | 8 | | 30 | 5 | | 31 | 63 | | 32 | 56 | | 33 | 33 | | 34 | 12 | | 35 | 4 | | 36 | 21 | | 37 | 3 | | 38 | 10 | | 39 | 36 | | 40 | 4 | | 41 | 1 | | 42 | 79 | | 43 | 31 | | 44 | 21 | | 45 | 26 | | 46 | 10 | | 47 | 3 | | 48 | 7 | | 49 | 27 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 118 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 168 | | matches | | 0 | "were shaking" | | 1 | "wasn't quite warning" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 148 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 950 | | adjectiveStacks | 1 | | stackExamples | | 0 | "louder, pressing against her" |
| | adverbCount | 34 | | adverbRatio | 0.035789473684210524 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.003157894736842105 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 148 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 148 | | mean | 8.4 | | std | 5.96 | | cv | 0.71 | | sampleLengths | | 0 | 21 | | 1 | 8 | | 2 | 1 | | 3 | 14 | | 4 | 4 | | 5 | 10 | | 6 | 18 | | 7 | 9 | | 8 | 6 | | 9 | 12 | | 10 | 2 | | 11 | 12 | | 12 | 2 | | 13 | 5 | | 14 | 3 | | 15 | 19 | | 16 | 4 | | 17 | 19 | | 18 | 23 | | 19 | 13 | | 20 | 11 | | 21 | 6 | | 22 | 7 | | 23 | 6 | | 24 | 7 | | 25 | 14 | | 26 | 9 | | 27 | 10 | | 28 | 9 | | 29 | 5 | | 30 | 8 | | 31 | 6 | | 32 | 1 | | 33 | 3 | | 34 | 8 | | 35 | 14 | | 36 | 27 | | 37 | 4 | | 38 | 2 | | 39 | 7 | | 40 | 6 | | 41 | 3 | | 42 | 8 | | 43 | 8 | | 44 | 5 | | 45 | 10 | | 46 | 3 | | 47 | 17 | | 48 | 19 | | 49 | 6 |
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| 76.80% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.47297297297297297 | | totalSentences | 148 | | uniqueOpeners | 70 | |
| 68.03% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 98 | | matches | | 0 | "Somewhere between the two and" | | 1 | "Then she saw a version" |
| | ratio | 0.02 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 98 | | matches | | 0 | "They passed between the stones." | | 1 | "They didn't sway in any" | | 2 | "They stood perfectly still, as" | | 3 | "It wouldn't have." | | 4 | "She'd come too far to" | | 5 | "She looked behind them." | | 6 | "They walked deeper." | | 7 | "She didn't ask what they" | | 8 | "She wrapped her fingers around" | | 9 | "They pressed on." | | 10 | "She blinked hard, focusing on" | | 11 | "She saw herself." | | 12 | "Her hands were shaking." | | 13 | "She felt something brush against" | | 14 | "She hadn't been there a" | | 15 | "Her eyes fixed on the" |
| | ratio | 0.163 | |
| 72.24% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 76 | | totalSentences | 98 | | matches | | 0 | "The standing stones jutted from" | | 1 | "Rory pressed her palm against" | | 2 | "Nyx drifted beside her, their" | | 3 | "A silhouette of shadow against" | | 4 | "Rory pulled her jacket tighter" | | 5 | "The October air had no" | | 6 | "Nyx tilted their head, violet" | | 7 | "They passed between the stones." | | 8 | "The world shifted." | | 9 | "Rory's stomach lurched, that same" | | 10 | "The oak trees behind them," | | 11 | "The trees were silver-barked, their" | | 12 | "Wildflowers carpeted the ground in" | | 13 | "They didn't sway in any" | | 14 | "They stood perfectly still, as" | | 15 | "Nyx's voice came as a" | | 16 | "Rory's hand went to the" | | 17 | "The Heartstone pulsed against her" | | 18 | "A heartbeat that wasn't hers." | | 19 | "It wouldn't have." |
| | ratio | 0.776 | |
| 51.02% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 98 | | matches | | 0 | "Now they grew in spirals" |
| | ratio | 0.01 | |
| 58.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 4 | | matches | | 0 | "Not the cold of winter, but something older, something that had never known warmth." | | 1 | "The trees were silver-barked, their leaves translucent, catching light that had no source." | | 2 | "Rory caught movements in her peripheral vision, shapes that darted between trunks, there and gone before she could focus." | | 3 | "Silver hair fell to her waist, catching light and throwing it back." |
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| 97.22% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 1 | | matches | | 0 | "Nyx drifted, their form stretching, thinning, reforming" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 49 | | tagDensity | 0.102 | | leniency | 0.204 | | rawRatio | 0.4 | | effectiveRatio | 0.082 | |