| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.09% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1721 | | 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) | |
| 47.70% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1721 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "pulse" | | 1 | "warmth" | | 2 | "echo" | | 3 | "silence" | | 4 | "tracing" | | 5 | "stomach" | | 6 | "pulsed" | | 7 | "flickered" | | 8 | "footsteps" | | 9 | "weight" | | 10 | "scanned" | | 11 | "lurched" | | 12 | "measured" |
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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 | 1 | | narrationSentences | 241 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 241 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 246 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1719 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 1697 | | uniqueNames | 11 | | maxNameDensity | 1.65 | | worstName | "Aurora" | | maxWindowNameDensity | 4 | | worstWindowName | "Aurora" | | discoveredNames | | Carter | 1 | | Heartstone | 3 | | Park | 2 | | Silas | 1 | | Earth | 1 | | Golden | 1 | | Empress | 1 | | Grove | 1 | | Evan | 1 | | Aurora | 28 | | One | 4 |
| | persons | | 0 | "Carter" | | 1 | "Heartstone" | | 2 | "Silas" | | 3 | "Evan" | | 4 | "Aurora" | | 5 | "One" |
| | places | | | globalScore | 0.675 | | windowScore | 0.333 | |
| 93.61% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 133 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like oaks, but their trunks twiste" | | 1 | "felt like guidance" | | 2 | "felt like a warning pressed into her sk" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1719 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 246 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 148 | | mean | 11.61 | | std | 13.98 | | cv | 1.203 | | sampleLengths | | 0 | 10 | | 1 | 46 | | 2 | 9 | | 3 | 1 | | 4 | 2 | | 5 | 3 | | 6 | 45 | | 7 | 4 | | 8 | 6 | | 9 | 4 | | 10 | 11 | | 11 | 7 | | 12 | 3 | | 13 | 65 | | 14 | 4 | | 15 | 69 | | 16 | 9 | | 17 | 38 | | 18 | 9 | | 19 | 4 | | 20 | 50 | | 21 | 11 | | 22 | 3 | | 23 | 4 | | 24 | 9 | | 25 | 2 | | 26 | 4 | | 27 | 9 | | 28 | 2 | | 29 | 28 | | 30 | 7 | | 31 | 5 | | 32 | 12 | | 33 | 5 | | 34 | 1 | | 35 | 44 | | 36 | 7 | | 37 | 5 | | 38 | 25 | | 39 | 5 | | 40 | 1 | | 41 | 13 | | 42 | 6 | | 43 | 8 | | 44 | 3 | | 45 | 33 | | 46 | 3 | | 47 | 7 | | 48 | 8 | | 49 | 11 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 241 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 279 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 246 | | ratio | 0.004 | | matches | | 0 | "The fingers—or roots—curled around a flower stalk and pulled it down." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1700 | | adjectiveStacks | 1 | | stackExamples | | 0 | "white star-shaped blooms," |
| | adverbCount | 64 | | adverbRatio | 0.03764705882352941 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.005294117647058823 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 246 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 246 | | mean | 6.99 | | std | 4.57 | | cv | 0.655 | | sampleLengths | | 0 | 10 | | 1 | 24 | | 2 | 22 | | 3 | 9 | | 4 | 1 | | 5 | 2 | | 6 | 3 | | 7 | 15 | | 8 | 17 | | 9 | 3 | | 10 | 4 | | 11 | 6 | | 12 | 4 | | 13 | 2 | | 14 | 4 | | 15 | 4 | | 16 | 11 | | 17 | 7 | | 18 | 3 | | 19 | 6 | | 20 | 23 | | 21 | 13 | | 22 | 10 | | 23 | 13 | | 24 | 4 | | 25 | 10 | | 26 | 8 | | 27 | 23 | | 28 | 9 | | 29 | 6 | | 30 | 13 | | 31 | 9 | | 32 | 17 | | 33 | 8 | | 34 | 13 | | 35 | 9 | | 36 | 4 | | 37 | 5 | | 38 | 7 | | 39 | 16 | | 40 | 9 | | 41 | 13 | | 42 | 11 | | 43 | 3 | | 44 | 4 | | 45 | 9 | | 46 | 2 | | 47 | 4 | | 48 | 4 | | 49 | 5 |
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| 41.02% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 22 | | diversityRatio | 0.2530612244897959 | | totalSentences | 245 | | uniqueOpeners | 62 | |
| 63.19% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 211 | | matches | | 0 | "Even the city had gone" | | 1 | "Somewhere to her right, leaves" | | 2 | "Then three more, matching her" | | 3 | "Then something knocked from the" |
| | ratio | 0.019 | |
| 87.30% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 70 | | totalSentences | 211 | | matches | | 0 | "She paused between two of" | | 1 | "She checked her phone." | | 2 | "Her voice travelled into the" | | 3 | "She stepped through." | | 4 | "It held the smell of" | | 5 | "Her torch beam skimmed over" | | 6 | "They crowded one another despite" | | 7 | "She knew this place should" | | 8 | "She had walked the park" | | 9 | "It had warmed against her" | | 10 | "It had returned outside the" | | 11 | "She followed the path." | | 12 | "Her trainers sank into moss." | | 13 | "She kept the torch low" | | 14 | "She could not see the" | | 15 | "She swung the light back." | | 16 | "Her grip tightened around the" | | 17 | "She felt the small crescent" | | 18 | "She stopped herself." | | 19 | "She held the screen close" |
| | ratio | 0.332 | |
| 23.98% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 184 | | totalSentences | 211 | | matches | | 0 | "Aurora Carter crossed the boundary" | | 1 | "The ancient standing stones rose" | | 2 | "She paused between two of" | | 3 | "The crimson stone answered with" | | 4 | "Aurora glanced back." | | 5 | "Richmond Park lay beyond the" | | 6 | "The path stretched towards the" | | 7 | "She checked her phone." | | 8 | "The time read 12:03." | | 9 | "Her voice travelled into the" | | 10 | "That bothered her more than" | | 11 | "She stepped through." | | 12 | "The air changed against her" | | 13 | "It held the smell of" | | 14 | "Her torch beam skimmed over" | | 15 | "They crowded one another despite" | | 16 | "Aurora lowered the torch." | | 17 | "The light caught a narrow" | | 18 | "She knew this place should" | | 19 | "She had walked the park" |
| | ratio | 0.872 | |
| 71.09% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 211 | | matches | | 0 | "To the right, the ground" | | 1 | "To the left, a low" | | 2 | "Before her fingers touched it," |
| | ratio | 0.014 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 60 | | technicalSentenceCount | 1 | | matches | | 0 | "The trees looked like oaks, but their trunks twisted in directions that made her eyes ache." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | 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 | 10 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.4 | | effectiveRatio | 0.4 | |