| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 5 | | tagDensity | 0.6 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.27% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 573 | | 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 | 573 | | totalAiIsms | 12 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | word | "down her spine" | | count | 1 |
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| | highlights | | 0 | "sentinel" | | 1 | "scanning" | | 2 | "pulsed" | | 3 | "warmth" | | 4 | "charged" | | 5 | "could feel" | | 6 | "pulse" | | 7 | "racing" | | 8 | "comforting" | | 9 | "silence" | | 10 | "down her spine" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "shiver down spine" | | count | 1 |
| | 1 | | label | "time stood still" | | count | 1 |
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| | highlights | | 0 | "A shiver ran down her spine" | | 1 | "Time seemed to slow" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 53 | | matches | | |
| 88.95% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 53 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 56 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 21 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 573 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 95.26% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 548 | | uniqueNames | 6 | | maxNameDensity | 1.09 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Fae | 3 | | Grove | 3 | | Carter | 1 | | Rory | 6 | | Heartstone | 2 | | Cardiff | 1 |
| | persons | | 0 | "Carter" | | 1 | "Rory" | | 2 | "Heartstone" |
| | places | | | globalScore | 0.953 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 41 | | 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 | 573 | | matches | (empty) | |
| 47.62% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 56 | | matches | | 0 | "recognize that voice" | | 1 | "was that thing" |
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| 88.21% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 19 | | mean | 30.16 | | std | 13.83 | | cv | 0.459 | | sampleLengths | | 0 | 42 | | 1 | 55 | | 2 | 40 | | 3 | 40 | | 4 | 22 | | 5 | 12 | | 6 | 38 | | 7 | 38 | | 8 | 38 | | 9 | 37 | | 10 | 1 | | 11 | 12 | | 12 | 32 | | 13 | 33 | | 14 | 32 | | 15 | 31 | | 16 | 42 | | 17 | 24 | | 18 | 4 |
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| 92.02% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 53 | | matches | | 0 | "was forbidden" | | 1 | "been given" |
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| 58.16% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 94 | | matches | | 0 | "was imagining" | | 1 | "was happening" |
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| 91.84% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 56 | | ratio | 0.018 | | matches | | 0 | "And then she heard it - a voice, low and sinuous, weaving through the wildflower stalks." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 152 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 5 | | adverbRatio | 0.03289473684210526 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.019736842105263157 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 56 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 56 | | mean | 10.23 | | std | 5.65 | | cv | 0.553 | | sampleLengths | | 0 | 21 | | 1 | 21 | | 2 | 4 | | 3 | 19 | | 4 | 18 | | 5 | 14 | | 6 | 15 | | 7 | 5 | | 8 | 10 | | 9 | 3 | | 10 | 7 | | 11 | 15 | | 12 | 19 | | 13 | 6 | | 14 | 7 | | 15 | 3 | | 16 | 3 | | 17 | 6 | | 18 | 3 | | 19 | 10 | | 20 | 2 | | 21 | 14 | | 22 | 11 | | 23 | 4 | | 24 | 9 | | 25 | 16 | | 26 | 14 | | 27 | 8 | | 28 | 13 | | 29 | 10 | | 30 | 12 | | 31 | 3 | | 32 | 7 | | 33 | 14 | | 34 | 16 | | 35 | 1 | | 36 | 6 | | 37 | 5 | | 38 | 1 | | 39 | 5 | | 40 | 13 | | 41 | 14 | | 42 | 15 | | 43 | 18 | | 44 | 9 | | 45 | 4 | | 46 | 19 | | 47 | 12 | | 48 | 19 | | 49 | 16 |
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| 74.40% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.44642857142857145 | | totalSentences | 56 | | uniqueOpeners | 25 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 53 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 53 | | matches | | 0 | "She shouldn't be here." | | 1 | "She had to know why" | | 2 | "She could feel...something." | | 3 | "she muttered, her voice sounding" | | 4 | "She thought of her cramped" | | 5 | "She wasn't alone." | | 6 | "she called, hating the tremor" | | 7 | "She was imagining things." | | 8 | "It had led her here" | | 9 | "Her head snapped up, eyes" | | 10 | "She'd recognize that voice anywhere." | | 11 | "Its form shifted and changed" | | 12 | "Her fingers scrabbled at the" | | 13 | "It was her only protection" |
| | ratio | 0.264 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 35 | | totalSentences | 53 | | matches | | 0 | "The standing stones of the" | | 1 | "Aurora Carter, known as Rory" | | 2 | "She shouldn't be here." | | 3 | "The Fae Grove was forbidden" | | 4 | "She had to know why" | | 5 | "A breeze whispered through the" | | 6 | "Rory shivered despite her jacket." | | 7 | "The hairs on her arms" | | 8 | "She could feel...something." | | 9 | "A presence that sent her" | | 10 | "she muttered, her voice sounding" | | 11 | "She thought of her cramped" | | 12 | "Anything but this eerie, unnatural" | | 13 | "A flutter of movement caught" | | 14 | "A shiver ran down her" | | 15 | "She wasn't alone." | | 16 | "she called, hating the tremor" | | 17 | "Rory took a deep breath," | | 18 | "She was imagining things." | | 19 | "The pendant's pulsing warmth against" |
| | ratio | 0.66 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 53 | | matches | (empty) | | ratio | 0 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 3 | | matches | | 0 | "A breeze whispered through the wildflowers carpeting the grove, their petals shimmering in the starlight." | | 1 | "Taller than a man, with eyes that glowed an eerie green, it watched her with a hungry expression." | | 2 | "The instant her fingers brushed the crimson gemstone, the creature shrieked, an awful sound that scraped along her bones." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 1 | | matches | | 0 | "she muttered, her voice sounding small and lost" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 5 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.5 | | effectiveRatio | 0.4 | |