| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 1 | | adverbTags | | 0 | "she called again [again]" |
| | dialogueSentences | 31 | | tagDensity | 0.452 | | leniency | 0.903 | | rawRatio | 0.071 | | effectiveRatio | 0.065 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1039 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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 | 1039 | | totalAiIsms | 50 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | word | "sent shivers down" | | count | 1 |
| | 23 | | | 24 | | | 25 | | | 26 | | | 27 | |
| | highlights | | 0 | "loomed" | | 1 | "sentinels" | | 2 | "warmth" | | 3 | "reminder" | | 4 | "scanning" | | 5 | "raced" | | 6 | "whisper" | | 7 | "sanctuary" | | 8 | "weight" | | 9 | "rhythmic" | | 10 | "silence" | | 11 | "echoing" | | 12 | "gleaming" | | 13 | "pulse" | | 14 | "chill" | | 15 | "flickered" | | 16 | "pulsed" | | 17 | "echoed" | | 18 | "racing" | | 19 | "magnetic" | | 20 | "resolve" | | 21 | "vibrated" | | 22 | "sent shivers down" | | 23 | "quickened" | | 24 | "tension" | | 25 | "anticipation" | | 26 | "profound" | | 27 | "depths" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 88 | | matches | | |
| 94.16% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 88 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 105 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1038 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 929 | | uniqueNames | 6 | | maxNameDensity | 1.51 | | worstName | "Aurora" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Aurora" | | discoveredNames | | Fae | 1 | | Grove | 1 | | Heartstone | 2 | | Pendant | 2 | | Evan | 1 | | Aurora | 14 |
| | persons | | | places | | | globalScore | 0.747 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 73 | | glossingSentenceCount | 1 | | matches | | 0 | "rhythm that seemed to resonate with the grove itself" |
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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 | 1038 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 105 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 19.22 | | std | 12.84 | | cv | 0.668 | | sampleLengths | | 0 | 57 | | 1 | 46 | | 2 | 10 | | 3 | 33 | | 4 | 46 | | 5 | 40 | | 6 | 10 | | 7 | 14 | | 8 | 36 | | 9 | 34 | | 10 | 11 | | 11 | 33 | | 12 | 15 | | 13 | 8 | | 14 | 29 | | 15 | 12 | | 16 | 23 | | 17 | 21 | | 18 | 2 | | 19 | 23 | | 20 | 31 | | 21 | 12 | | 22 | 36 | | 23 | 1 | | 24 | 17 | | 25 | 2 | | 26 | 15 | | 27 | 4 | | 28 | 20 | | 29 | 9 | | 30 | 21 | | 31 | 1 | | 32 | 25 | | 33 | 2 | | 34 | 34 | | 35 | 14 | | 36 | 18 | | 37 | 16 | | 38 | 4 | | 39 | 17 | | 40 | 17 | | 41 | 2 | | 42 | 14 | | 43 | 7 | | 44 | 24 | | 45 | 5 | | 46 | 20 | | 47 | 30 | | 48 | 13 | | 49 | 23 |
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| 97.29% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 88 | | matches | | 0 | "was supposed" | | 1 | "was said" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 165 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 105 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 930 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.02903225806451613 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0032258064516129032 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 105 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 105 | | mean | 9.89 | | std | 5.28 | | cv | 0.534 | | sampleLengths | | 0 | 13 | | 1 | 16 | | 2 | 28 | | 3 | 17 | | 4 | 12 | | 5 | 5 | | 6 | 12 | | 7 | 10 | | 8 | 9 | | 9 | 3 | | 10 | 10 | | 11 | 11 | | 12 | 11 | | 13 | 6 | | 14 | 14 | | 15 | 3 | | 16 | 12 | | 17 | 13 | | 18 | 10 | | 19 | 17 | | 20 | 10 | | 21 | 2 | | 22 | 12 | | 23 | 6 | | 24 | 4 | | 25 | 13 | | 26 | 13 | | 27 | 13 | | 28 | 11 | | 29 | 10 | | 30 | 11 | | 31 | 12 | | 32 | 7 | | 33 | 14 | | 34 | 3 | | 35 | 12 | | 36 | 5 | | 37 | 3 | | 38 | 13 | | 39 | 16 | | 40 | 12 | | 41 | 15 | | 42 | 8 | | 43 | 15 | | 44 | 6 | | 45 | 2 | | 46 | 6 | | 47 | 12 | | 48 | 3 | | 49 | 2 |
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| 46.98% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.3047619047619048 | | totalSentences | 105 | | uniqueOpeners | 32 | |
| 77.52% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 86 | | matches | | 0 | "Just the whisper of leaves," | | 1 | "Just the rustle of leaves" |
| | ratio | 0.023 | |
| 71.16% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 86 | | matches | | 0 | "She had come here seeking" | | 1 | "She paused, scanning the clearing." | | 2 | "she muttered, though the words" | | 3 | "She turned, eyes darting toward" | | 4 | "she whispered to herself, shaking" | | 5 | "She had faced worse than" | | 6 | "She stepped deeper into the" | | 7 | "She could almost hear the" | | 8 | "Her voice broke the silence," | | 9 | "She had to focus." | | 10 | "She reached for the pendant," | | 11 | "She glanced around, half-expecting something" | | 12 | "she called again, her voice" | | 13 | "She squinted, trying to pierce" | | 14 | "She turned, but the figure" | | 15 | "she scolded herself" | | 16 | "She moved closer to the" | | 17 | "she whispered, the question hanging" | | 18 | "She closed her eyes, trying" | | 19 | "She took a step back," |
| | ratio | 0.372 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 80 | | totalSentences | 86 | | matches | | 0 | "Aurora stepped into The Fae" | | 1 | "The ancient oak standing stones" | | 2 | "She had come here seeking" | | 3 | "The moon hung low, casting" | | 4 | "Each step felt heavy, as" | | 5 | "She paused, scanning the clearing." | | 6 | "Shadows danced at the edges" | | 7 | "she muttered, though the words" | | 8 | "A rustle came from the" | | 9 | "Aurora’s heart raced." | | 10 | "She turned, eyes darting toward" | | 11 | "she whispered to herself, shaking" | | 12 | "She had faced worse than" | | 13 | "The memories of Evan’s anger" | | 14 | "This was different." | | 15 | "This was supposed to be" | | 16 | "She stepped deeper into the" | | 17 | "The air thickened, a weight" | | 18 | "She could almost hear the" | | 19 | "Her voice broke the silence," |
| | ratio | 0.93 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 86 | | matches | (empty) | | ratio | 0 | |
| 74.18% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 5 | | matches | | 0 | "She had come here seeking answers, clutching the Heartstone Pendant in her pocket, its faint warmth a reminder of the unknown benefactor who had given it to her…" | | 1 | "The moon hung low, casting a silvery glow over the wildflowers that bloomed defiantly in the darkness." | | 2 | "She could almost hear the heartbeat of the grove, a slow, rhythmic thrum that matched her own." | | 3 | "The warmth spread through her fingers, a pulse that felt alive." | | 4 | "The girl’s laughter rang out, a sound that echoed through the grove, and Aurora felt the shadows swirl around her, pulling her into the depths of the unknown." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 9 | | matches | | 0 | "she muttered, though the words felt hollow" | | 1 | "she called again, her voice firmer this time" | | 2 | "she whispered, the question hanging in the air" | | 3 | "she shouted, her voice breaking the tension" | | 4 | "the girl asked, her voice lilting, almost musical" | | 5 | "Aurora stammered, her heart racing" | | 6 | "the girl urged, her voice a haunting melody" | | 7 | "the girl repeated, her smile widening" | | 8 | "she whispered, her voice steady despite the tremor in her heart" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 11 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she whispered (whisper)" | | 2 | "she scolded (scold)" | | 3 | "she whispered (whisper)" | | 4 | "she murmured (murmur)" | | 5 | "she shouted (shout)" | | 6 | "Aurora stammered (stammer)" | | 7 | "she shouted (shout)" | | 8 | "the girl urged (urge)" | | 9 | "the girl repeated (repeat)" | | 10 | "she whispered (whisper)" |
| | dialogueSentences | 31 | | tagDensity | 0.419 | | leniency | 0.839 | | rawRatio | 0.846 | | effectiveRatio | 0.71 | |