| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 3 | | adverbTags | | 0 | "Eva blinked then [then]" | | 1 | "Eva’s gaze flicked away [away]" | | 2 | "Eva’s voice cracked just [just]" |
| | dialogueSentences | 60 | | tagDensity | 0.183 | | leniency | 0.367 | | rawRatio | 0.273 | | effectiveRatio | 0.1 | |
| 79.59% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1225 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "suddenly" | | 1 | "sharply" | | 2 | "softly" | | 3 | "slowly" |
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| 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) | |
| 51.02% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1225 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "silence" | | 1 | "electric" | | 2 | "flicked" | | 3 | "charged" | | 4 | "could feel" | | 5 | "weight" | | 6 | "unspoken" | | 7 | "trembled" | | 8 | "tracing" | | 9 | "pulse" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 77 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 77 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 124 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 50 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 7 | | markdownWords | 7 | | totalWords | 1222 | | ratio | 0.006 | | matches | | 0 | "wanted" | | 1 | "person" | | 2 | "him" | | 3 | "fight" | | 4 | "him" | | 5 | "survival" | | 6 | "my" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 72 | | wordCount | 729 | | uniqueNames | 6 | | maxNameDensity | 4.66 | | worstName | "Eva" | | maxWindowNameDensity | 8.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 32 | | Ptolemy | 3 | | Eva | 34 | | Jenga | 1 | | Golden | 1 | | Empress | 1 |
| | persons | | | places | | | globalScore | 0 | | windowScore | 0 | |
| 38.89% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | glossingSentenceCount | 2 | | matches | | 0 | "sounded like wind chimes in a storm" | | 1 | "felt like something to fight for" |
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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 | 1222 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 124 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 56 | | mean | 21.82 | | std | 17.69 | | cv | 0.81 | | sampleLengths | | 0 | 56 | | 1 | 28 | | 2 | 66 | | 3 | 68 | | 4 | 23 | | 5 | 3 | | 6 | 26 | | 7 | 35 | | 8 | 18 | | 9 | 6 | | 10 | 30 | | 11 | 6 | | 12 | 29 | | 13 | 9 | | 14 | 37 | | 15 | 20 | | 16 | 12 | | 17 | 49 | | 18 | 13 | | 19 | 76 | | 20 | 5 | | 21 | 23 | | 22 | 34 | | 23 | 4 | | 24 | 8 | | 25 | 5 | | 26 | 20 | | 27 | 18 | | 28 | 10 | | 29 | 4 | | 30 | 22 | | 31 | 9 | | 32 | 29 | | 33 | 11 | | 34 | 45 | | 35 | 61 | | 36 | 18 | | 37 | 4 | | 38 | 26 | | 39 | 9 | | 40 | 17 | | 41 | 1 | | 42 | 3 | | 43 | 7 | | 44 | 7 | | 45 | 25 | | 46 | 22 | | 47 | 24 | | 48 | 13 | | 49 | 13 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 77 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 143 | | matches | (empty) | |
| 73.73% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 124 | | ratio | 0.024 | | matches | | 0 | "The flat was exactly as she remembered—books stacked like Jenga towers, scrolls unfurled across the coffee table, the air thick with the scent of aged parchment and something faintly electric, like ozone after a lightning strike." | | 1 | "She turned it over, her breath catching when she saw the wax seal—a serpent coiled around a dagger." | | 2 | "Eva stiffened for half a second—then melted into it, her hands fisting in Rory’s jacket as she pulled her closer." |
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| 95.61% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 733 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.045020463847203276 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.010914051841746248 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 124 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 124 | | mean | 9.85 | | std | 8.53 | | cv | 0.866 | | sampleLengths | | 0 | 11 | | 1 | 18 | | 2 | 12 | | 3 | 15 | | 4 | 14 | | 5 | 14 | | 6 | 12 | | 7 | 25 | | 8 | 6 | | 9 | 23 | | 10 | 10 | | 11 | 17 | | 12 | 36 | | 13 | 2 | | 14 | 3 | | 15 | 20 | | 16 | 3 | | 17 | 3 | | 18 | 23 | | 19 | 3 | | 20 | 5 | | 21 | 17 | | 22 | 13 | | 23 | 5 | | 24 | 13 | | 25 | 3 | | 26 | 3 | | 27 | 11 | | 28 | 19 | | 29 | 6 | | 30 | 11 | | 31 | 18 | | 32 | 3 | | 33 | 6 | | 34 | 11 | | 35 | 26 | | 36 | 8 | | 37 | 12 | | 38 | 3 | | 39 | 9 | | 40 | 7 | | 41 | 28 | | 42 | 3 | | 43 | 11 | | 44 | 11 | | 45 | 2 | | 46 | 11 | | 47 | 4 | | 48 | 50 | | 49 | 11 |
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| 51.34% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.3225806451612903 | | totalSentences | 124 | | uniqueOpeners | 40 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 72 | | matches | | 0 | "Always her research." | | 1 | "Instead, she reached into her" | | 2 | "Then, slowly, Eva’s hand turned," |
| | ratio | 0.042 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 7 | | totalSentences | 72 | | matches | | 0 | "She dropped her bag onto" | | 1 | "She swallowed hard." | | 2 | "She turned it over, her" | | 3 | "She gestured to the envelope" | | 4 | "She stepped closer, her free" | | 5 | "She rested her forehead against" | | 6 | "It felt like something to" |
| | ratio | 0.097 | |
| 36.39% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 72 | | matches | | 0 | "The door swung open before" | | 1 | "Eva stood there, her dark" | | 2 | "The scent of cardamom tea" | | 3 | "Eva blinked, then stepped back" | | 4 | "Rory hesitated, her fingers tightening" | | 5 | "The last time she’d been" | | 6 | "That had been three months" | | 7 | "Rory said, stepping inside" | | 8 | "The door clicked shut behind" | | 9 | "The flat was exactly as" | | 10 | "Eva crossed her arms, the" | | 11 | "Eva’s gaze flicked away, landing" | | 12 | "Rory exhaled through her nose." | | 13 | "She dropped her bag onto" | | 14 | "Eva’s laugh was sharp, bitter." | | 15 | "Rory’s jaw tightened." | | 16 | "Eva stepped closer, her voice" | | 17 | "Eva threw her hands up" | | 18 | "Rory’s chest ached." | | 19 | "Eva’s voice cracked, just a" |
| | ratio | 0.847 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 72 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 1 | | matches | | 0 | "How could she tell Eva that she’d spent the last three months drowning in her own head, that she’d taken the job at Golden Empress because it was the only thing…" |
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| 34.09% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 2 | | matches | | 0 | "She dropped, the thud muffled by the layers of rugs" | | 1 | "Eva stepped, her voice dropping to a hiss" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 60 | | tagDensity | 0.033 | | leniency | 0.067 | | rawRatio | 0.5 | | effectiveRatio | 0.033 | |