| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "He gestured vaguely [vaguely]" |
| | dialogueSentences | 23 | | tagDensity | 0.652 | | leniency | 1 | | rawRatio | 0.067 | | effectiveRatio | 0.067 | |
| 80.82% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 782 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slowly" | | 1 | "perfectly" | | 2 | "slightly" |
| |
| 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) | |
| 16.88% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 782 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "echoed" | | 1 | "unreadable" | | 2 | "silence" | | 3 | "familiar" | | 4 | "flicked" | | 5 | "pulsed" | | 6 | "eyebrow" | | 7 | "charged" | | 8 | "shattered" | | 9 | "sanctuary" | | 10 | "whisper" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "hung in the air" | | count | 2 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 56 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 56 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 64 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 787 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 11 | | wordCount | 609 | | uniqueNames | 7 | | maxNameDensity | 0.49 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Moreau | 1 | | Frenchman | 1 | | Eva | 1 | | Ptolemy | 1 | | Rory | 3 | | Evan | 1 | | Lucien | 3 |
| | persons | | 0 | "Moreau" | | 1 | "Eva" | | 2 | "Ptolemy" | | 3 | "Rory" | | 4 | "Evan" | | 5 | "Lucien" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 72.94% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.271 | | wordCount | 787 | | matches | | 0 | "Not just the key, but you" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 64 | | matches | (empty) | |
| 38.51% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 14 | | mean | 56.21 | | std | 16.01 | | cv | 0.285 | | sampleLengths | | 0 | 67 | | 1 | 37 | | 2 | 63 | | 3 | 49 | | 4 | 61 | | 5 | 47 | | 6 | 27 | | 7 | 80 | | 8 | 54 | | 9 | 40 | | 10 | 71 | | 11 | 50 | | 12 | 54 | | 13 | 87 |
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| 99.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 56 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 90 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 64 | | ratio | 0.094 | | matches | | 0 | "His heterochromatic eyes – one amber, one black – held a cold, unreadable gaze." | | 1 | "The scent of expensive leather and something faintly metallic – his cane, perhaps – mingled with the familiar curry fumes." | | 2 | "The attraction, the hurt, the things left unsaid – it all crashed down on her like a wave." | | 3 | "Rory’s eyes darted around the cluttered living room – the towering stacks of books, the scrolls spilling from shelves, the worn sofa where she’d cried herself to sleep after Evan." | | 4 | "The past, the danger, the undeniable pull – it all swirled in her mind." | | 5 | "The memory of his touch, the danger, the passion – it all surged back, a tidal wave she couldn’t resist." |
| |
| 91.54% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 604 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.04966887417218543 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.018211920529801324 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 64 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 64 | | mean | 12.3 | | std | 7.35 | | cv | 0.598 | | sampleLengths | | 0 | 11 | | 1 | 9 | | 2 | 6 | | 3 | 11 | | 4 | 19 | | 5 | 2 | | 6 | 2 | | 7 | 2 | | 8 | 5 | | 9 | 6 | | 10 | 16 | | 11 | 9 | | 12 | 6 | | 13 | 3 | | 14 | 16 | | 15 | 13 | | 16 | 14 | | 17 | 14 | | 18 | 3 | | 19 | 12 | | 20 | 28 | | 21 | 9 | | 22 | 15 | | 23 | 13 | | 24 | 13 | | 25 | 20 | | 26 | 11 | | 27 | 16 | | 28 | 15 | | 29 | 5 | | 30 | 12 | | 31 | 15 | | 32 | 12 | | 33 | 15 | | 34 | 18 | | 35 | 24 | | 36 | 11 | | 37 | 11 | | 38 | 25 | | 39 | 18 | | 40 | 30 | | 41 | 8 | | 42 | 2 | | 43 | 15 | | 44 | 20 | | 45 | 6 | | 46 | 9 | | 47 | 21 | | 48 | 7 | | 49 | 13 |
| |
| 36.98% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.34375 | | totalSentences | 64 | | uniqueOpeners | 22 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 53 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 53 | | matches | | 0 | "It was the sound of" | | 1 | "She turned slowly, her eyes" | | 2 | "Her complicated, dangerous, infuriating ex." | | 3 | "She didn’t bother with the" | | 4 | "She yanked the door open," | | 5 | "she snapped, her voice tight" | | 6 | "He didn’t flinch." | | 7 | "He stood there, impeccably tailored" | | 8 | "His platinum blond hair was" | | 9 | "His heterochromatic eyes – one" | | 10 | "he said, his voice smooth" | | 11 | "Her heart hammered against her" | | 12 | "she demanded, stepping back into" | | 13 | "he replied, pushing the door" | | 14 | "He didn’t wait for an" | | 15 | "He stepped inside, the door" | | 16 | "she said, her voice low," | | 17 | "He raised an eyebrow, a" | | 18 | "She took a step back," | | 19 | "She remembered the heat of" |
| | ratio | 0.642 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 53 | | matches | | 0 | "The brass knocker echoed like" | | 1 | "Rory froze mid-reach for her" | | 2 | "That sound wasn’t just any" | | 3 | "It was the sound of" | | 4 | "She turned slowly, her eyes" | | 5 | "Her complicated, dangerous, infuriating ex." | | 6 | "She didn’t bother with the" | | 7 | "She yanked the door open," | | 8 | "she snapped, her voice tight" | | 9 | "He didn’t flinch." | | 10 | "He stood there, impeccably tailored" | | 11 | "His platinum blond hair was" | | 12 | "His heterochromatic eyes – one" | | 13 | "he said, his voice smooth" | | 14 | "Her heart hammered against her" | | 15 | "she demanded, stepping back into" | | 16 | "The tabby cat, Ptolemy, blinked" | | 17 | "he replied, pushing the door" | | 18 | "He didn’t wait for an" | | 19 | "He stepped inside, the door" |
| | ratio | 1 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 53 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 7 | | matches | | 0 | "she snapped, her voice tight" | | 1 | "she said, her voice low, dangerous" | | 2 | "Lucien said, his voice dropping to a dangerous whisper" | | 3 | "He reached, his movements precise" | | 4 | "she asked, her voice barely a breath" | | 5 | "Lucien said, his amber eye locking onto hers," | | 6 | "he murmured, his voice dropping even lower," |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 4 | | fancyTags | | 0 | "she snapped (snap)" | | 1 | "she demanded (demand)" | | 2 | "she whispered (whisper)" | | 3 | "he murmured (murmur)" |
| | dialogueSentences | 23 | | tagDensity | 0.435 | | leniency | 0.87 | | rawRatio | 0.4 | | effectiveRatio | 0.348 | |