| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 59 | | tagDensity | 0.271 | | leniency | 0.542 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.20% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1788 | | 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) | |
| 94.41% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1788 | | totalAiIsms | 2 | | found | | | highlights | | |
| 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 | 164 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 164 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 206 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1788 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 71 | | wordCount | 1537 | | uniqueNames | 7 | | maxNameDensity | 2.41 | | worstName | "Rory" | | maxWindowNameDensity | 5 | | worstWindowName | "Rory" | | discoveredNames | | Aurora | 1 | | Nyx | 17 | | Heartstone | 3 | | January | 1 | | Fae | 2 | | Rory | 37 | | Isolde | 10 |
| | persons | | 0 | "Nyx" | | 1 | "Heartstone" | | 2 | "Rory" | | 3 | "Isolde" |
| | places | (empty) | | globalScore | 0.296 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 116 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like a question in a language she" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.559 | | wordCount | 1788 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 206 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 93 | | mean | 19.23 | | std | 17.87 | | cv | 0.93 | | sampleLengths | | 0 | 42 | | 1 | 9 | | 2 | 33 | | 3 | 3 | | 4 | 42 | | 5 | 41 | | 6 | 4 | | 7 | 22 | | 8 | 2 | | 9 | 4 | | 10 | 41 | | 11 | 58 | | 12 | 7 | | 13 | 3 | | 14 | 4 | | 15 | 55 | | 16 | 8 | | 17 | 5 | | 18 | 75 | | 19 | 3 | | 20 | 23 | | 21 | 7 | | 22 | 43 | | 23 | 5 | | 24 | 4 | | 25 | 4 | | 26 | 29 | | 27 | 48 | | 28 | 33 | | 29 | 2 | | 30 | 6 | | 31 | 34 | | 32 | 4 | | 33 | 22 | | 34 | 6 | | 35 | 35 | | 36 | 4 | | 37 | 6 | | 38 | 7 | | 39 | 45 | | 40 | 5 | | 41 | 26 | | 42 | 9 | | 43 | 31 | | 44 | 7 | | 45 | 85 | | 46 | 5 | | 47 | 4 | | 48 | 21 | | 49 | 10 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 164 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 255 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 3 | | flaggedSentences | 3 | | totalSentences | 206 | | ratio | 0.015 | | matches | | 0 | "Behind her, the brambles held last night’s rain; ahead, the flowers carried the smell of sun-baked earth." | | 1 | "Slender columns rose from the water, holding nothing overhead; their tops ended in ragged breaks, and silver vines bound the shafts." | | 2 | "Moon-pale metal caught the strange light; cold ran from the hilt into her scarred wrist." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1546 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 35 | | adverbRatio | 0.022639068564036222 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.00129366106080207 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 206 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 206 | | mean | 8.68 | | std | 5.19 | | cv | 0.597 | | sampleLengths | | 0 | 19 | | 1 | 23 | | 2 | 9 | | 3 | 4 | | 4 | 22 | | 5 | 7 | | 6 | 3 | | 7 | 6 | | 8 | 12 | | 9 | 14 | | 10 | 10 | | 11 | 3 | | 12 | 12 | | 13 | 13 | | 14 | 13 | | 15 | 4 | | 16 | 8 | | 17 | 9 | | 18 | 5 | | 19 | 2 | | 20 | 4 | | 21 | 6 | | 22 | 17 | | 23 | 13 | | 24 | 5 | | 25 | 8 | | 26 | 30 | | 27 | 3 | | 28 | 17 | | 29 | 7 | | 30 | 3 | | 31 | 4 | | 32 | 2 | | 33 | 16 | | 34 | 13 | | 35 | 13 | | 36 | 11 | | 37 | 8 | | 38 | 5 | | 39 | 6 | | 40 | 4 | | 41 | 17 | | 42 | 11 | | 43 | 12 | | 44 | 8 | | 45 | 17 | | 46 | 3 | | 47 | 9 | | 48 | 14 | | 49 | 4 |
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| 54.37% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.33495145631067963 | | totalSentences | 206 | | uniqueOpeners | 69 | |
| 22.52% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 148 | | matches | | | ratio | 0.007 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 148 | | matches | | 0 | "Its roots gripped the ground" | | 1 | "Its violet eyes fixed on" | | 2 | "She looked back." | | 3 | "He passed behind a tree" | | 4 | "Their fingers sank into the" | | 5 | "She caught the silver chain" | | 6 | "Its inner glow beat once." | | 7 | "It was January." | | 8 | "It tasted of salt when" | | 9 | "Her voice came back from" | | 10 | "She saw a row of" | | 11 | "Their grip felt solid and" | | 12 | "It had no driver." | | 13 | "Its wings opened to reveal" | | 14 | "It rose, crossed the bridge" | | 15 | "Its surface showed only moving" | | 16 | "she told herself, and walked" | | 17 | "It rose in a clear," | | 18 | "She stopped, and so did" | | 19 | "Their petals were the colour" |
| | ratio | 0.176 | |
| 41.08% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 124 | | totalSentences | 148 | | matches | | 0 | "The first oak stone stood" | | 1 | "Its roots gripped the ground" | | 2 | "Nyx stopped beside her." | | 3 | "The living shadow had drawn" | | 4 | "Its violet eyes fixed on" | | 5 | "A robin perched on the" | | 6 | "Rory took a step towards" | | 7 | "The sound travelled up through" | | 8 | "She looked back." | | 9 | "The path they had followed" | | 10 | "A cyclist crossed a distant" | | 11 | "He passed behind a tree" | | 12 | "Nyx touched the stone" | | 13 | "Their fingers sank into the" | | 14 | "Rory slipped through the gap" | | 15 | "The Heartstone pressed against her" | | 16 | "She caught the silver chain" | | 17 | "Its inner glow beat once." | | 18 | "Wildflowers crowded the path in" | | 19 | "It was January." |
| | ratio | 0.838 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 148 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 72 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 93.75% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 1 | | matches | | 0 | "Isolde’s mouth curved, though her eyes stayed on the blade Rory had not drawn" |
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| 99.15% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 3 | | fancyTags | | 0 | "Nyx murmured (murmur)" | | 1 | "they whispered (whisper)" | | 2 | "Nyx murmured (murmur)" |
| | dialogueSentences | 59 | | tagDensity | 0.186 | | leniency | 0.373 | | rawRatio | 0.273 | | effectiveRatio | 0.102 | |