| 88.89% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 1 | | adverbTags | | 0 | "Aurora said again [again]" |
| | dialogueSentences | 18 | | tagDensity | 0.389 | | leniency | 0.778 | | rawRatio | 0.143 | | effectiveRatio | 0.111 | |
| 94.37% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1775 | | 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) | |
| 66.20% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1775 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "pulsed" | | 1 | "loomed" | | 2 | "perfect" | | 3 | "flickered" | | 4 | "pulse" | | 5 | "quivered" | | 6 | "silence" | | 7 | "scanned" | | 8 | "stomach" | | 9 | "traced" | | 10 | "measured" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 216 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 216 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 228 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1775 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 48 | | wordCount | 1714 | | uniqueNames | 10 | | maxNameDensity | 1.11 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Carter | 1 | | Heartstone | 4 | | Richmond | 1 | | Park | 1 | | Grove | 6 | | Fae | 2 | | Hel | 3 | | Aurora | 19 | | Don | 4 | | Tap | 7 |
| | persons | | 0 | "Carter" | | 1 | "Heartstone" | | 2 | "Aurora" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Grove" | | 3 | "Fae" |
| | globalScore | 0.946 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 119 | | glossingSentenceCount | 2 | | matches | | 0 | "kind that seemed to lean in" | | 1 | "felt like a breath taken through soil" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 5 | | per1kWords | 2.817 | | wordCount | 1775 | | matches | | 0 | "not towards any light she could see but towards the centre" | | 1 | "Not the exact melody, but the shape of it" | | 2 | "not from the trees but from directly behind her shoulder" | | 3 | "not cold, not warm, but dead even, like stone kept indoors" | | 4 | "not warm, but dead even, like stone kept indoors" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 228 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 95 | | mean | 18.68 | | std | 17.98 | | cv | 0.962 | | sampleLengths | | 0 | 18 | | 1 | 43 | | 2 | 6 | | 3 | 52 | | 4 | 13 | | 5 | 64 | | 6 | 3 | | 7 | 34 | | 8 | 26 | | 9 | 3 | | 10 | 62 | | 11 | 29 | | 12 | 30 | | 13 | 6 | | 14 | 11 | | 15 | 17 | | 16 | 23 | | 17 | 11 | | 18 | 28 | | 19 | 10 | | 20 | 9 | | 21 | 63 | | 22 | 50 | | 23 | 18 | | 24 | 3 | | 25 | 17 | | 26 | 4 | | 27 | 3 | | 28 | 7 | | 29 | 58 | | 30 | 1 | | 31 | 7 | | 32 | 14 | | 33 | 4 | | 34 | 12 | | 35 | 16 | | 36 | 19 | | 37 | 7 | | 38 | 65 | | 39 | 8 | | 40 | 8 | | 41 | 2 | | 42 | 57 | | 43 | 10 | | 44 | 17 | | 45 | 27 | | 46 | 12 | | 47 | 4 | | 48 | 40 | | 49 | 83 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 216 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 285 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 228 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1057 | | adjectiveStacks | 1 | | stackExamples | | 0 | "sharper underneath, green rot" |
| | adverbCount | 39 | | adverbRatio | 0.036896877956480605 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.005676442762535478 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 228 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 228 | | mean | 7.79 | | std | 6.25 | | cv | 0.803 | | sampleLengths | | 0 | 18 | | 1 | 15 | | 2 | 8 | | 3 | 20 | | 4 | 3 | | 5 | 3 | | 6 | 13 | | 7 | 9 | | 8 | 4 | | 9 | 4 | | 10 | 12 | | 11 | 10 | | 12 | 13 | | 13 | 5 | | 14 | 23 | | 15 | 36 | | 16 | 3 | | 17 | 12 | | 18 | 4 | | 19 | 2 | | 20 | 16 | | 21 | 5 | | 22 | 2 | | 23 | 19 | | 24 | 3 | | 25 | 15 | | 26 | 8 | | 27 | 4 | | 28 | 5 | | 29 | 22 | | 30 | 8 | | 31 | 10 | | 32 | 19 | | 33 | 9 | | 34 | 11 | | 35 | 3 | | 36 | 4 | | 37 | 3 | | 38 | 6 | | 39 | 11 | | 40 | 1 | | 41 | 1 | | 42 | 2 | | 43 | 13 | | 44 | 13 | | 45 | 3 | | 46 | 4 | | 47 | 3 | | 48 | 3 | | 49 | 8 |
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| 55.41% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.37719298245614036 | | totalSentences | 228 | | uniqueOpeners | 86 | |
| 76.19% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 175 | | matches | | 0 | "Instead she had got a" | | 1 | "Then the chime came again," | | 2 | "Then came a different sound," | | 3 | "Then the double spoke in" |
| | ratio | 0.023 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 42 | | totalSentences | 175 | | matches | | 0 | "She swore under her breath," | | 1 | "Its deep crimson core gave" | | 2 | "They did not belong in" | | 3 | "She slipped the phone into" | | 4 | "She reached out but did" | | 5 | "It looked combed." | | 6 | "She rose slowly." | | 7 | "She knew better than to" | | 8 | "She circled the dark oval" | | 9 | "They sat in a neat" | | 10 | "It was too far away" | | 11 | "Its body held the fine" | | 12 | "It stood still as a" | | 13 | "she said, keeping her voice" | | 14 | "Its eyes caught the pendant’s" | | 15 | "She took one step away" | | 16 | "Her pulse thudded in her" | | 17 | "She crouched again by the" | | 18 | "It felt like a breath" | | 19 | "She knew it." |
| | ratio | 0.24 | |
| 74.29% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 135 | | totalSentences | 175 | | matches | | 0 | "Aurora Carter ducked under the" | | 1 | "She swore under her breath," | | 2 | "The Heartstone pendant had warmed" | | 3 | "Its deep crimson core gave" | | 4 | "The ancient oak standing stones" | | 5 | "They did not belong in" | | 6 | "Tourists never found them." | | 7 | "Dog walkers forgot them." | | 8 | "Maps slid around the place" | | 9 | "Eva had once called the" | | 10 | "Aurora stepped between the stones" | | 11 | "The change hit at once." | | 12 | "Wildflowers crowded the clearing in" | | 13 | "The Fae Grove." | | 14 | "Tonight it looked arranged." | | 15 | "Aurora took out her phone." | | 16 | "The screen flickered, then showed" | | 17 | "She slipped the phone into" | | 18 | "The pendant tugged towards it," | | 19 | "Hel portal, she thought." |
| | ratio | 0.771 | |
| 57.14% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 175 | | matches | | 0 | "As if someone had set" | | 1 | "If a door opens, count" |
| | ratio | 0.011 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 64 | | technicalSentenceCount | 2 | | matches | | 0 | "Depressions, round and deep, as if something thin and hard had pressed straight down." | | 1 | "Moonlight did not touch the clearing, yet she saw the small crescent-shaped scar there as clearly as if someone had traced it in chalk." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 94.44% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 18 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.167 | | effectiveRatio | 0.111 | |