| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 3 | | adverbTags | | 0 | "she said finally [finally]" | | 1 | "he said simply [simply]" | | 2 | "he said softly [softly]" |
| | dialogueSentences | 27 | | tagDensity | 0.481 | | leniency | 0.963 | | rawRatio | 0.231 | | effectiveRatio | 0.222 | |
| 83.39% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 903 | | totalAiIsmAdverbs | 3 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 1 |
| | 2 | |
| | highlights | | 0 | "perfectly" | | 1 | "barely above a whisper" | | 2 | "softly" |
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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) | |
| 22.48% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 903 | | totalAiIsms | 14 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | word | "down her spine" | | count | 1 |
| | 9 | | | 10 | | | 11 | |
| | highlights | | 0 | "raced" | | 1 | "weight" | | 2 | "whisper" | | 3 | "silence" | | 4 | "tension" | | 5 | "determined" | | 6 | "eyebrow" | | 7 | "chill" | | 8 | "down her spine" | | 9 | "pounding" | | 10 | "churning" | | 11 | "warmth" |
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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 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 69 | | matches | | 0 | "r in frustration" | | 1 | "felt a chill" |
| |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 69 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 83 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 903 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 79.68% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 711 | | uniqueNames | 3 | | maxNameDensity | 1.41 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 0.797 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 1 | | matches | | 0 | "as if steeling himself for what he was about to say" |
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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 | 903 | | matches | (empty) | |
| 86.35% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 83 | | matches | | 0 | "like that, like" | | 1 | "take that chance" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 24.41 | | std | 12.69 | | cv | 0.52 | | sampleLengths | | 0 | 25 | | 1 | 38 | | 2 | 1 | | 3 | 45 | | 4 | 9 | | 5 | 21 | | 6 | 38 | | 7 | 15 | | 8 | 23 | | 9 | 29 | | 10 | 32 | | 11 | 35 | | 12 | 11 | | 13 | 35 | | 14 | 7 | | 15 | 8 | | 16 | 34 | | 17 | 38 | | 18 | 10 | | 19 | 36 | | 20 | 38 | | 21 | 19 | | 22 | 41 | | 23 | 8 | | 24 | 42 | | 25 | 23 | | 26 | 10 | | 27 | 25 | | 28 | 29 | | 29 | 19 | | 30 | 9 | | 31 | 31 | | 32 | 48 | | 33 | 12 | | 34 | 20 | | 35 | 30 | | 36 | 9 |
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| 95.09% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 69 | | matches | | 0 | "was mussed" | | 1 | "was meant" |
| |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 129 | | matches | | 0 | "wasn't expecting" | | 1 | "was telling" | | 2 | "was risking" | | 3 | "was willing" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 83 | | ratio | 0.012 | | matches | | 0 | "Not Eva, who was out of town visiting family, and certainly not—" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 711 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.03234880450070324 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.01828410689170183 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 83 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 83 | | mean | 10.88 | | std | 6.81 | | cv | 0.626 | | sampleLengths | | 0 | 9 | | 1 | 4 | | 2 | 12 | | 3 | 8 | | 4 | 18 | | 5 | 12 | | 6 | 1 | | 7 | 7 | | 8 | 19 | | 9 | 19 | | 10 | 5 | | 11 | 4 | | 12 | 4 | | 13 | 5 | | 14 | 12 | | 15 | 9 | | 16 | 29 | | 17 | 10 | | 18 | 5 | | 19 | 12 | | 20 | 11 | | 21 | 15 | | 22 | 14 | | 23 | 14 | | 24 | 18 | | 25 | 27 | | 26 | 3 | | 27 | 5 | | 28 | 9 | | 29 | 2 | | 30 | 13 | | 31 | 22 | | 32 | 7 | | 33 | 4 | | 34 | 4 | | 35 | 16 | | 36 | 18 | | 37 | 8 | | 38 | 14 | | 39 | 16 | | 40 | 10 | | 41 | 10 | | 42 | 10 | | 43 | 16 | | 44 | 9 | | 45 | 14 | | 46 | 15 | | 47 | 19 | | 48 | 13 | | 49 | 10 |
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| 59.04% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.39759036144578314 | | totalSentences | 83 | | uniqueOpeners | 33 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 68 | | matches | (empty) | | ratio | 0 | |
| 43.53% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 68 | | matches | | 0 | "She wasn't expecting anyone." | | 1 | "She peered through the peephole" | | 2 | "She hesitated, her hand on" | | 3 | "It had been months since" | | 4 | "She couldn't ignore him." | | 5 | "His usually perfectly styled platinum" | | 6 | "she said, her voice coming" | | 7 | "He pushed past her into" | | 8 | "he said, his voice low" | | 9 | "he cut her off, running" | | 10 | "She studied him for a" | | 11 | "she said finally, gesturing to" | | 12 | "He leaned forward, resting his" | | 13 | "he said simply" | | 14 | "He took a deep breath," | | 15 | "She knew about the supernatural" | | 16 | "she asked, her voice barely" | | 17 | "he said softly" | | 18 | "She wanted to say no," | | 19 | "she asked, her voice steady" |
| | ratio | 0.441 | |
| 77.65% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 68 | | matches | | 0 | "Rory heard the knock at" | | 1 | "She wasn't expecting anyone." | | 2 | "The knock came again, more" | | 3 | "Rory's heart raced as she" | | 4 | "She peered through the peephole" | | 5 | "She hesitated, her hand on" | | 6 | "It had been months since" | | 7 | "Another knock, louder this time." | | 8 | "She couldn't ignore him." | | 9 | "Lucien stood on the other" | | 10 | "His usually perfectly styled platinum" | | 11 | "she said, her voice coming" | | 12 | "He pushed past her into" | | 13 | "he said, his voice low" | | 14 | "Rory closed the door and" | | 15 | "he cut her off, running" | | 16 | "She studied him for a" | | 17 | "Something was wrong." | | 18 | "Something beyond their complicated history." | | 19 | "she said finally, gesturing to" |
| | ratio | 0.765 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 68 | | matches | (empty) | | ratio | 0 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 2 | | matches | | 0 | "His usually perfectly styled platinum blond hair was mussed, and his tailored charcoal suit hung loose on his frame, as if he'd lost weight since she'd last see…" | | 1 | "He leaned forward, resting his elbows on his knees, and fixed her with a look that was equal parts pleading and determined." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 7 | | matches | | 0 | "she said, her voice coming out as a whisper" | | 1 | "he said, his voice low and urgent" | | 2 | "she asked, her voice barely above a whisper" | | 3 | "she asked, her voice steady despite the fear churning in her gut" | | 4 | "he said, his voice low and urgent" | | 5 | "she asked, her voice barely audible" | | 6 | "he said, his voice rough with emotion" |
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| 75.93% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 2 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "he breathed (breathe)" |
| | dialogueSentences | 27 | | tagDensity | 0.444 | | leniency | 0.889 | | rawRatio | 0.167 | | effectiveRatio | 0.148 | |