| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 62 | | tagDensity | 0.177 | | leniency | 0.355 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.07% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1891 | | totalAiIsmAdverbs | 3 | | 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) | |
| 84.14% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1891 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "comforting" | | 1 | "pulse" | | 2 | "weight" | | 3 | "stomach" | | 4 | "streaming" | | 5 | "perfect" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "let out a breath" | | count | 1 |
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| | highlights | | |
| 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 | 1 | | narrationSentences | 164 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 215 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1891 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 68 | | wordCount | 1591 | | uniqueNames | 9 | | maxNameDensity | 1.51 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 2 | | Park | 2 | | Heartstone | 2 | | Isolde | 14 | | Aurora | 24 | | Silas | 13 | | London | 1 | | Nyx | 9 | | Pendant | 1 |
| | persons | | 0 | "Heartstone" | | 1 | "Isolde" | | 2 | "Aurora" | | 3 | "Silas" | | 4 | "Nyx" | | 5 | "Pendant" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" |
| | globalScore | 0.746 | | windowScore | 0.667 | |
| 29.81% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 104 | | glossingSentenceCount | 5 | | matches | | 0 | "looked like wet oak trunks shoved upright" | | 1 | "as if greeting an old enemy" | | 2 | "felt like walking through a skin of col" | | 3 | "felt like winter through fabric" | | 4 | "as if fending off a blow" |
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| 41.35% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 1.586 | | wordCount | 1891 | | matches | | 0 | "not by stones or dirt but by the grass bending flat moments before their feet touched" | | 1 | "not her reflection but a sky crowded with stars she had never seen" | | 2 | "not the same blade, but kin to it, cut from the same impossible moonsilver" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 215 | | matches | | 0 | "noticed that her" | | 1 | "leaves that gave" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 133 | | mean | 14.22 | | std | 18.4 | | cv | 1.294 | | sampleLengths | | 0 | 10 | | 1 | 51 | | 2 | 26 | | 3 | 4 | | 4 | 26 | | 5 | 8 | | 6 | 5 | | 7 | 53 | | 8 | 15 | | 9 | 8 | | 10 | 56 | | 11 | 9 | | 12 | 5 | | 13 | 12 | | 14 | 8 | | 15 | 1 | | 16 | 6 | | 17 | 2 | | 18 | 3 | | 19 | 61 | | 20 | 17 | | 21 | 4 | | 22 | 10 | | 23 | 10 | | 24 | 7 | | 25 | 2 | | 26 | 1 | | 27 | 4 | | 28 | 2 | | 29 | 4 | | 30 | 34 | | 31 | 9 | | 32 | 7 | | 33 | 4 | | 34 | 67 | | 35 | 3 | | 36 | 4 | | 37 | 91 | | 38 | 14 | | 39 | 10 | | 40 | 4 | | 41 | 6 | | 42 | 3 | | 43 | 17 | | 44 | 6 | | 45 | 5 | | 46 | 16 | | 47 | 7 | | 48 | 4 | | 49 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 164 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 264 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 215 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1292 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 50 | | adverbRatio | 0.03869969040247678 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.003869969040247678 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 215 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 215 | | mean | 8.8 | | std | 6.86 | | cv | 0.78 | | sampleLengths | | 0 | 10 | | 1 | 27 | | 2 | 7 | | 3 | 5 | | 4 | 12 | | 5 | 17 | | 6 | 9 | | 7 | 4 | | 8 | 14 | | 9 | 12 | | 10 | 8 | | 11 | 5 | | 12 | 7 | | 13 | 36 | | 14 | 10 | | 15 | 9 | | 16 | 6 | | 17 | 8 | | 18 | 20 | | 19 | 17 | | 20 | 19 | | 21 | 5 | | 22 | 4 | | 23 | 5 | | 24 | 12 | | 25 | 8 | | 26 | 1 | | 27 | 6 | | 28 | 2 | | 29 | 3 | | 30 | 8 | | 31 | 9 | | 32 | 17 | | 33 | 6 | | 34 | 21 | | 35 | 4 | | 36 | 13 | | 37 | 4 | | 38 | 5 | | 39 | 5 | | 40 | 10 | | 41 | 7 | | 42 | 2 | | 43 | 1 | | 44 | 4 | | 45 | 2 | | 46 | 4 | | 47 | 5 | | 48 | 12 | | 49 | 17 |
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| 56.43% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.3581395348837209 | | totalSentences | 215 | | uniqueOpeners | 77 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 144 | | matches | | 0 | "Somewhere deeper in the grove," | | 1 | "More the hush of pages" | | 2 | "Somewhere off to the left," | | 3 | "Then the water ran clear" | | 4 | "More a vibration through the" | | 5 | "Then he followed, jaw locked." |
| | ratio | 0.042 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 144 | | matches | | 0 | "They looked like wet oak" | | 1 | "Their violet eyes floated in" | | 2 | "He stood ten paces back" | | 3 | "He glanced at the ring" | | 4 | "Her silver hair hung to" | | 5 | "She touched one of the" | | 6 | "It did not fade in" | | 7 | "Their hand rose, all shadow" | | 8 | "Her voice came from just" | | 9 | "She went in anyway." | | 10 | "Her ears rang." | | 11 | "She stopped dead." | | 12 | "Their leaves shifted through colours" | | 13 | "She pulled her hand back" | | 14 | "Her skin prickled under her" | | 15 | "They reached the water at" | | 16 | "He pointed at the water" | | 17 | "She reached one finger toward" | | 18 | "Their hand felt like winter" | | 19 | "She snatched her hand back." |
| | ratio | 0.188 | |
| 39.86% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 121 | | totalSentences | 144 | | matches | | 0 | "The standing stones did not" | | 1 | "They looked like wet oak" | | 2 | "Deer tracks cut the mud" | | 3 | "Gorse moved in the wind." | | 4 | "Aurora stopped just short of" | | 5 | "The Heartstone pressed back with" | | 6 | "Nyx stood half in the" | | 7 | "Their violet eyes floated in" | | 8 | "Aurora looked over her shoulder." | | 9 | "Silas had come farther than" | | 10 | "He stood ten paces back" | | 11 | "The scowl lost some force" | | 12 | "He glanced at the ring" | | 13 | "Isolde moved past him without" | | 14 | "The hem of her pale" | | 15 | "Her silver hair hung to" | | 16 | "She touched one of the" | | 17 | "Aurora let out a breath." | | 18 | "Isolde turned those pale lavender" | | 19 | "Silas barked a laugh despite" |
| | ratio | 0.84 | |
| 34.72% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 144 | | matches | | | ratio | 0.007 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 61 | | technicalSentenceCount | 1 | | matches | | 0 | "More a vibration through the soles of her boots, a plucked-string tremor that climbed her bones." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 85.48% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 4 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "Silas muttered (mutter)" | | 2 | "Nyx whispered (whisper)" | | 3 | "Nyx murmured (murmur)" |
| | dialogueSentences | 62 | | tagDensity | 0.161 | | leniency | 0.323 | | rawRatio | 0.4 | | effectiveRatio | 0.129 | |