| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 2 | | adverbTags | | 0 | "she said softly [softly]" | | 1 | "The words tasted like [like]" |
| | dialogueSentences | 74 | | tagDensity | 0.23 | | leniency | 0.459 | | rawRatio | 0.118 | | effectiveRatio | 0.054 | |
| 81.63% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1089 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slightly" | | 1 | "softly" | | 2 | "slowly" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 49.49% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1089 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "traced" | | 1 | "weight" | | 2 | "flicked" | | 3 | "eyebrow" | | 4 | "silence" | | 5 | "electric" | | 6 | "standard" | | 7 | "flickered" | | 8 | "warmth" |
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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 | 90 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 90 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 145 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1088 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 758 | | uniqueNames | 8 | | maxNameDensity | 0.79 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Silas | 6 | | Rory | 6 | | Dawson | 1 | | Soho | 1 | | Shrugged | 1 | | Ethan | 3 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Rory" | | 4 | "Dawson" | | 5 | "Ethan" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | glossingSentenceCount | 5 | | matches | | 0 | "looked like he’d been struck" | | 1 | "felt like a physical blow" | | 2 | "felt like an admission, a surrender" | | 3 | "as if accepting a verdict" | | 4 | "looked like he’d been through a war" |
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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 | 1088 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 145 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 75 | | mean | 14.51 | | std | 15.29 | | cv | 1.054 | | sampleLengths | | 0 | 64 | | 1 | 6 | | 2 | 53 | | 3 | 56 | | 4 | 20 | | 5 | 1 | | 6 | 13 | | 7 | 36 | | 8 | 1 | | 9 | 6 | | 10 | 52 | | 11 | 6 | | 12 | 11 | | 13 | 11 | | 14 | 3 | | 15 | 10 | | 16 | 18 | | 17 | 7 | | 18 | 15 | | 19 | 17 | | 20 | 20 | | 21 | 21 | | 22 | 2 | | 23 | 48 | | 24 | 5 | | 25 | 2 | | 26 | 7 | | 27 | 4 | | 28 | 2 | | 29 | 22 | | 30 | 1 | | 31 | 7 | | 32 | 46 | | 33 | 2 | | 34 | 21 | | 35 | 4 | | 36 | 5 | | 37 | 12 | | 38 | 19 | | 39 | 13 | | 40 | 15 | | 41 | 3 | | 42 | 3 | | 43 | 20 | | 44 | 2 | | 45 | 5 | | 46 | 3 | | 47 | 4 | | 48 | 20 | | 49 | 19 |
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| 85.77% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 90 | | matches | | 0 | "been struck" | | 1 | "were scarred" | | 2 | "was gone" | | 3 | "was carved" | | 4 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 135 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 145 | | ratio | 0.007 | | matches | | 0 | "For a second, the boy flickered in his eyes—a glimpse of the old, easy smile, the unguarded warmth." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 343 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 10 | | adverbRatio | 0.029154518950437316 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.011661807580174927 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 145 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 145 | | mean | 7.5 | | std | 5.36 | | cv | 0.714 | | sampleLengths | | 0 | 11 | | 1 | 16 | | 2 | 14 | | 3 | 23 | | 4 | 6 | | 5 | 10 | | 6 | 18 | | 7 | 25 | | 8 | 3 | | 9 | 20 | | 10 | 30 | | 11 | 3 | | 12 | 11 | | 13 | 8 | | 14 | 1 | | 15 | 1 | | 16 | 5 | | 17 | 8 | | 18 | 3 | | 19 | 12 | | 20 | 10 | | 21 | 5 | | 22 | 6 | | 23 | 1 | | 24 | 5 | | 25 | 1 | | 26 | 10 | | 27 | 8 | | 28 | 8 | | 29 | 11 | | 30 | 15 | | 31 | 3 | | 32 | 3 | | 33 | 9 | | 34 | 2 | | 35 | 9 | | 36 | 2 | | 37 | 3 | | 38 | 8 | | 39 | 2 | | 40 | 17 | | 41 | 1 | | 42 | 7 | | 43 | 4 | | 44 | 11 | | 45 | 7 | | 46 | 10 | | 47 | 9 | | 48 | 11 | | 49 | 12 |
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| 55.17% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3724137931034483 | | totalSentences | 145 | | uniqueOpeners | 54 | |
| 40.16% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 83 | | matches | | 0 | "Then it was gone, snuffed" |
| | ratio | 0.012 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 46 | | totalSentences | 83 | | matches | | 0 | "She traced the crescent scar" | | 1 | "He moved with a stiff," | | 2 | "He hung his coat on" | | 3 | "She knew the shape of" | | 4 | "She hadn’t seen that silhouette" | | 5 | "He never did." | | 6 | "His eyes flicked from Rory" | | 7 | "His gaze swept the empty" | | 8 | "His eyes, a faded blue" | | 9 | "He looked like he’d been" | | 10 | "She nodded, her throat tight." | | 11 | "He closed the distance between" | | 12 | "His hands, resting on the" | | 13 | "She forced a smile" | | 14 | "His eyes never left her" | | 15 | "He repeated it like a" | | 16 | "She shrugged, a gesture that" | | 17 | "It gave her something to" | | 18 | "She pulled down a bottle" | | 19 | "He caught it, his fingers" |
| | ratio | 0.554 | |
| 8.19% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 75 | | totalSentences | 83 | | matches | | 0 | "The Raven’s Nest smelled of" | | 1 | "Rory leaned against the bar," | | 2 | "She traced the crescent scar" | | 3 | "The green neon sign outside" | | 4 | "The bell above the door" | | 5 | "A man stepped in, shaking" | | 6 | "He moved with a stiff," | | 7 | "He hung his coat on" | | 8 | "Rory’s breath hitched." | | 9 | "She knew the shape of" | | 10 | "She hadn’t seen that silhouette" | | 11 | "He never did." | | 12 | "Silas emerged from the back," | | 13 | "His eyes flicked from Rory" | | 14 | "The voice was the same." | | 15 | "Ethan Dawson turned." | | 16 | "His gaze swept the empty" | | 17 | "His eyes, a faded blue" | | 18 | "The lines around them deepened." | | 19 | "He looked like he’d been" |
| | ratio | 0.904 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 83 | | matches | (empty) | | ratio | 0 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 2 | | matches | | 0 | "He hung his coat on a stand near the door, running a hand through hair that was more salt than pepper now, cut ruthlessly short." | | 1 | "Silas disappeared behind the bookshelf that hid the secret room." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 2 | | fancyTags | | 0 | "he breathed (breathe)" | | 1 | "He repeated (repeat)" |
| | dialogueSentences | 74 | | tagDensity | 0.081 | | leniency | 0.162 | | rawRatio | 0.333 | | effectiveRatio | 0.054 | |