| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 4 | | adverbTags | | 0 | "she stepped aside [aside]" | | 1 | "He looked around [around]" | | 2 | "His voice grew more [more]" | | 3 | "he replied immediately [immediately]" |
| | dialogueSentences | 34 | | tagDensity | 0.353 | | leniency | 0.706 | | rawRatio | 0.333 | | effectiveRatio | 0.235 | |
| 93.75% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 800 | | totalAiIsmAdverbs | 1 | | 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 | 800 | | totalAiIsms | 18 | | found | | 0 | | | 1 | | word | "skipped a beat" | | count | 1 |
| | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | |
| | highlights | | 0 | "familiar" | | 1 | "skipped a beat" | | 2 | "silk" | | 3 | "lilt" | | 4 | "tinged" | | 5 | "measured" | | 6 | "scanning" | | 7 | "intensity" | | 8 | "echoed" | | 9 | "echoing" | | 10 | "shattered" | | 11 | "silence" | | 12 | "resolve" | | 13 | "delved" | | 14 | "amidst" | | 15 | "tension" | | 16 | "encounter" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 58 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 58 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 78 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 799 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 92.05% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 604 | | uniqueNames | 9 | | maxNameDensity | 1.16 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 7 | | Moreau | 1 | | French | 1 | | Eva | 2 | | Ptolemy | 2 | | Memories | 1 | | Avaros | 1 | | Rory | 5 | | Aurora | 3 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Eva" | | 3 | "Ptolemy" | | 4 | "Rory" | | 5 | "Aurora" |
| | places | | | globalScore | 0.921 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 74.84% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.252 | | wordCount | 799 | | matches | | 0 | "Not just for you, but for everyone" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 78 | | matches | (empty) | |
| 97.96% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 22.83 | | std | 11.25 | | cv | 0.493 | | sampleLengths | | 0 | 64 | | 1 | 11 | | 2 | 9 | | 3 | 24 | | 4 | 36 | | 5 | 22 | | 6 | 24 | | 7 | 29 | | 8 | 12 | | 9 | 13 | | 10 | 16 | | 11 | 18 | | 12 | 25 | | 13 | 25 | | 14 | 16 | | 15 | 23 | | 16 | 16 | | 17 | 12 | | 18 | 9 | | 19 | 33 | | 20 | 34 | | 21 | 9 | | 22 | 24 | | 23 | 30 | | 24 | 16 | | 25 | 11 | | 26 | 33 | | 27 | 23 | | 28 | 22 | | 29 | 19 | | 30 | 8 | | 31 | 32 | | 32 | 28 | | 33 | 34 | | 34 | 39 |
| |
| 99.21% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 58 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 119 | | matches | | |
| 69.60% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 78 | | ratio | 0.026 | | matches | | 0 | "The door swung open, revealing familiar eyes — one amber, one black." | | 1 | "If maybe their worlds wouldn't just be saved but rebuilt — together." |
| |
| 84.17% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 605 | | adjectiveStacks | 1 | | stackExamples | | 0 | "open, revealing familiar eyes —" |
| | adverbCount | 31 | | adverbRatio | 0.0512396694214876 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.01652892561983471 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 78 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 78 | | mean | 10.24 | | std | 6.2 | | cv | 0.605 | | sampleLengths | | 0 | 12 | | 1 | 5 | | 2 | 13 | | 3 | 14 | | 4 | 20 | | 5 | 11 | | 6 | 9 | | 7 | 20 | | 8 | 4 | | 9 | 2 | | 10 | 18 | | 11 | 5 | | 12 | 11 | | 13 | 8 | | 14 | 14 | | 15 | 5 | | 16 | 13 | | 17 | 6 | | 18 | 10 | | 19 | 19 | | 20 | 2 | | 21 | 6 | | 22 | 4 | | 23 | 5 | | 24 | 8 | | 25 | 12 | | 26 | 4 | | 27 | 6 | | 28 | 12 | | 29 | 6 | | 30 | 15 | | 31 | 4 | | 32 | 6 | | 33 | 9 | | 34 | 10 | | 35 | 13 | | 36 | 3 | | 37 | 9 | | 38 | 14 | | 39 | 13 | | 40 | 3 | | 41 | 7 | | 42 | 5 | | 43 | 9 | | 44 | 7 | | 45 | 17 | | 46 | 7 | | 47 | 2 | | 48 | 34 | | 49 | 2 |
| |
| 92.74% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.5641025641025641 | | totalSentences | 78 | | uniqueOpeners | 44 | |
| 62.89% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 53 | | matches | | 0 | "Already she'd felt that nagging" |
| | ratio | 0.019 | |
| 16.23% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 53 | | matches | | 0 | "She hadn't seen Lucien Moreau" | | 1 | "His slicked-back platinum blond hair" | | 2 | "He leaned slightly, gripping his" | | 3 | "His voice was silk, layered" | | 4 | "she replied, trying to keep" | | 5 | "He glanced down the narrow" | | 6 | "she stepped aside, holding the" | | 7 | "He placed the cane against" | | 8 | "She turned, crossing her arms," | | 9 | "His gaze lingered before meeting" | | 10 | "He exhaled, moving to a" | | 11 | "he interrupted, his voice sharper" | | 12 | "she echoed, bitterness seeping through" | | 13 | "He looked around again, a" | | 14 | "She nodded, begrudgingly, and motioned" | | 15 | "They sat at opposite ends," | | 16 | "His words hung heavy in" | | 17 | "She leaned forward, curiosity piqued" | | 18 | "His voice grew more fervent," | | 19 | "He leaned closer, eyes pleading" |
| | ratio | 0.509 | |
| 16.60% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 53 | | matches | | 0 | "The door swung open, revealing" | | 1 | "Aurora's heart skipped a beat." | | 2 | "She hadn't seen Lucien Moreau" | | 3 | "His slicked-back platinum blond hair" | | 4 | "He leaned slightly, gripping his" | | 5 | "His voice was silk, layered" | | 6 | "she replied, trying to keep" | | 7 | "He glanced down the narrow" | | 8 | "she stepped aside, holding the" | | 9 | "The tabby cat named Ptolemy" | | 10 | "Lucien entered, his gait measured." | | 11 | "He placed the cane against" | | 12 | "Rory shut the door, the" | | 13 | "She turned, crossing her arms," | | 14 | "His gaze lingered before meeting" | | 15 | "He exhaled, moving to a" | | 16 | "Rory scoffed, leaning against the" | | 17 | "he interrupted, his voice sharper" | | 18 | "The intensity of his gaze" | | 19 | "she echoed, bitterness seeping through" |
| | ratio | 0.887 | |
| 94.34% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 53 | | matches | | 0 | "If maybe their worlds wouldn't" |
| | ratio | 0.019 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 5 | | matches | | 0 | "she replied, trying to keep her voice steady" | | 1 | "he interrupted, his voice sharper" | | 2 | "she echoed, bitterness seeping through" | | 3 | "He looked around, a hint of discomfort creeping into his posture" | | 4 | "He leaned, eyes pleading" |
| |
| 91.18% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "he interrupted (interrupt)" | | 1 | "she challenged (challenge)" |
| | dialogueSentences | 34 | | tagDensity | 0.147 | | leniency | 0.294 | | rawRatio | 0.4 | | effectiveRatio | 0.118 | |