| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.857 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.41% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 944 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 944 | | totalAiIsms | 28 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | |
| | highlights | | 0 | "pulsed" | | 1 | "silence" | | 2 | "oppressive" | | 3 | "scanning" | | 4 | "loomed" | | 5 | "reminder" | | 6 | "warmth" | | 7 | "weight" | | 8 | "tangible" | | 9 | "racing" | | 10 | "shimmered" | | 11 | "wavering" | | 12 | "echoes" | | 13 | "gloom" | | 14 | "echoing" | | 15 | "whisper" | | 16 | "quickened" | | 17 | "footsteps" | | 18 | "intricate" | | 19 | "flickered" | | 20 | "pounding" | | 21 | "raced" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "heart pounded in chest" | | count | 1 |
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| | highlights | | 0 | "heart pounded in her chest" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 85 | | matches | (empty) | |
| 92.44% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 85 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 87 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 22 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 942 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 889 | | uniqueNames | 7 | | maxNameDensity | 1.35 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Aurora" | | discoveredNames | | Heartstone | 8 | | Pendant | 3 | | Aurora | 12 | | Park | 1 | | Fae | 1 | | Grove | 4 | | Hel | 1 |
| | persons | | 0 | "Heartstone" | | 1 | "Pendant" | | 2 | "Aurora" |
| | places | | | globalScore | 0.825 | | windowScore | 0.667 | |
| 81.51% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 73 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a challenge" | | 1 | "as if sensing her presence" |
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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 | 942 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 87 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 23 | | mean | 40.96 | | std | 21.42 | | cv | 0.523 | | sampleLengths | | 0 | 61 | | 1 | 63 | | 2 | 54 | | 3 | 12 | | 4 | 80 | | 5 | 44 | | 6 | 64 | | 7 | 50 | | 8 | 12 | | 9 | 52 | | 10 | 61 | | 11 | 62 | | 12 | 59 | | 13 | 46 | | 14 | 11 | | 15 | 22 | | 16 | 20 | | 17 | 22 | | 18 | 37 | | 19 | 11 | | 20 | 44 | | 21 | 50 | | 22 | 5 |
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| 92.88% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 85 | | matches | | 0 | "was made" | | 1 | "was gone" | | 2 | "being dragged" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 169 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 87 | | ratio | 0.011 | | matches | | 0 | "The documents in her satchel, the lives that depended on her, the secrets she had to uncover—they were all at stake." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 147 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 2 | | adverbRatio | 0.013605442176870748 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.006802721088435374 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 87 | | echoCount | 0 | | echoWords | (empty) | |
| 92.19% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 87 | | mean | 10.83 | | std | 4.12 | | cv | 0.38 | | sampleLengths | | 0 | 14 | | 1 | 13 | | 2 | 13 | | 3 | 5 | | 4 | 16 | | 5 | 15 | | 6 | 17 | | 7 | 18 | | 8 | 13 | | 9 | 11 | | 10 | 12 | | 11 | 13 | | 12 | 8 | | 13 | 10 | | 14 | 12 | | 15 | 8 | | 16 | 10 | | 17 | 1 | | 18 | 11 | | 19 | 10 | | 20 | 8 | | 21 | 18 | | 22 | 14 | | 23 | 14 | | 24 | 9 | | 25 | 15 | | 26 | 6 | | 27 | 2 | | 28 | 9 | | 29 | 2 | | 30 | 12 | | 31 | 16 | | 32 | 11 | | 33 | 12 | | 34 | 10 | | 35 | 11 | | 36 | 16 | | 37 | 13 | | 38 | 12 | | 39 | 15 | | 40 | 10 | | 41 | 14 | | 42 | 9 | | 43 | 4 | | 44 | 9 | | 45 | 8 | | 46 | 8 | | 47 | 7 | | 48 | 8 | | 49 | 11 |
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| 43.10% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.28735632183908044 | | totalSentences | 87 | | uniqueOpeners | 25 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 82 | | matches | (empty) | | ratio | 0 | |
| 59.02% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 82 | | matches | | 0 | "She paused, scanning the darkness." | | 1 | "She glanced at her wrist," | | 2 | "It was heavy with the" | | 3 | "She shivered, despite the warmth" | | 4 | "she whispered, her voice barely" | | 5 | "She took a deep breath," | | 6 | "She was here for a" | | 7 | "They detailed the Hel portals," | | 8 | "She continued deeper into the" | | 9 | "She reached out to touch" | | 10 | "She stepped through the portal," | | 11 | "She moved cautiously, her hand" | | 12 | "Her heart pounded in her" | | 13 | "she called, her voice echoing" | | 14 | "She quickened her pace, her" | | 15 | "She felt eyes on her," | | 16 | "She closed her eyes, trying" | | 17 | "It was made of dark" | | 18 | "She approached the door, her" | | 19 | "It was cold, and the" |
| | ratio | 0.402 | |
| 8.78% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 82 | | matches | | 0 | "The Heartstone Pendant pulsed faintly" | | 1 | "Richmond Park was never quiet" | | 2 | "Each rustle of leaves, each" | | 3 | "She paused, scanning the darkness." | | 4 | "The standing stones of The" | | 5 | "She glanced at her wrist," | | 6 | "The Heartstone's warmth intensified, and" | | 7 | "It was heavy with the" | | 8 | "Something about tonight felt different," | | 9 | "Aurora stepped into the clearing," | | 10 | "The wildflowers, which usually bloomed" | | 11 | "The time distortion of the" | | 12 | "She shivered, despite the warmth" | | 13 | "The trees swayed, their branches" | | 14 | "she whispered, her voice barely" | | 15 | "Aurora whirled around, her eyes" | | 16 | "She took a deep breath," | | 17 | "She was here for a" | | 18 | "The documents in her satchel" | | 19 | "They detailed the Hel portals," |
| | ratio | 0.902 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 82 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 3 | | matches | | 0 | "The wildflowers, which usually bloomed year-round, wilted as if sensing her presence." | | 1 | "They detailed the Hel portals, ancient passages that connected the mortal realm to the realm of the dead." | | 2 | "The documents in her satchel, the lives that depended on her, the secrets she had to uncover—they were all at stake." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 5 | | matches | | 0 | "she whispered, her voice barely audible over the rustling leaves" | | 1 | "she called, her voice echoing back to her, hollow and distorted" | | 2 | "she demanded, her voice steady despite her fear" | | 3 | "she said, her voice trembling slightly" | | 4 | "she said, her voice firm" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "she demanded (demand)" |
| | dialogueSentences | 7 | | tagDensity | 0.714 | | leniency | 1 | | rawRatio | 0.4 | | effectiveRatio | 0.4 | |