| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 26 | | tagDensity | 0.115 | | leniency | 0.231 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 502 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 40.24% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 502 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "weight" | | 1 | "silence" | | 2 | "flicked" |
| |
| 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 | 41 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 41 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 63 | | 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 | 2 | | markdownWords | 2 | | totalWords | 498 | | ratio | 0.004 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 365 | | uniqueNames | 4 | | maxNameDensity | 4.11 | | worstName | "Eva" | | maxWindowNameDensity | 6.5 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 15 | | Carter | 1 | | Ptolemy | 1 | | Aurora | 15 |
| | persons | | 0 | "Eva" | | 1 | "Carter" | | 2 | "Ptolemy" | | 3 | "Aurora" |
| | places | (empty) | | globalScore | 0 | | windowScore | 0 | |
| 45.83% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 24 | | glossingSentenceCount | 1 | | matches | | 0 | "smelled like ink and something sharp, like" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 498 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 63 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 27 | | mean | 18.44 | | std | 12.61 | | cv | 0.684 | | sampleLengths | | 0 | 62 | | 1 | 28 | | 2 | 49 | | 3 | 14 | | 4 | 6 | | 5 | 29 | | 6 | 8 | | 7 | 21 | | 8 | 11 | | 9 | 4 | | 10 | 22 | | 11 | 13 | | 12 | 18 | | 13 | 20 | | 14 | 15 | | 15 | 10 | | 16 | 16 | | 17 | 16 | | 18 | 19 | | 19 | 7 | | 20 | 14 | | 21 | 6 | | 22 | 8 | | 23 | 19 | | 24 | 28 | | 25 | 12 | | 26 | 23 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 41 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 60 | | matches | (empty) | |
| 52.15% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 63 | | ratio | 0.032 | | matches | | 0 | "Aurora Carter stepped inside, her breath catching at the scent of old paper and something faintly metallic—Ptolemy’s fur, curled around the edge of a half-eaten can of tuna." | | 1 | "Aurora stepped closer, the scent of her perfume—something floral and bitter—filling the space." |
| |
| 94.69% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 369 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.04607046070460705 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.008130081300813009 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 63 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 63 | | mean | 7.9 | | std | 5.68 | | cv | 0.718 | | sampleLengths | | 0 | 22 | | 1 | 28 | | 2 | 12 | | 3 | 28 | | 4 | 3 | | 5 | 15 | | 6 | 19 | | 7 | 12 | | 8 | 8 | | 9 | 6 | | 10 | 4 | | 11 | 2 | | 12 | 2 | | 13 | 17 | | 14 | 5 | | 15 | 5 | | 16 | 4 | | 17 | 4 | | 18 | 15 | | 19 | 6 | | 20 | 7 | | 21 | 4 | | 22 | 3 | | 23 | 1 | | 24 | 13 | | 25 | 9 | | 26 | 6 | | 27 | 7 | | 28 | 4 | | 29 | 14 | | 30 | 5 | | 31 | 10 | | 32 | 5 | | 33 | 9 | | 34 | 6 | | 35 | 4 | | 36 | 6 | | 37 | 10 | | 38 | 6 | | 39 | 9 | | 40 | 7 | | 41 | 10 | | 42 | 9 | | 43 | 3 | | 44 | 4 | | 45 | 10 | | 46 | 4 | | 47 | 3 | | 48 | 3 | | 49 | 3 |
| |
| 43.65% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.23809523809523808 | | totalSentences | 63 | | uniqueOpeners | 15 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 40 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 6 | | totalSentences | 40 | | matches | | 0 | "She kicked off her boots," | | 1 | "She moved past the cluttered" | | 2 | "She kicked off her boots" | | 3 | "She turned, her back to" | | 4 | "She didn’t turn around." | | 5 | "She didn’t look back." |
| | ratio | 0.15 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 40 | | totalSentences | 40 | | matches | | 0 | "The front door of Eva’s" | | 1 | "Aurora Carter stepped inside, her" | | 2 | "She kicked off her boots," | | 3 | "Eva said without looking up" | | 4 | "Aurora didn’t answer." | | 5 | "She moved past the cluttered" | | 6 | "The flat smelled like ink" | | 7 | "She kicked off her boots" | | 8 | "Eva finally glanced up, her" | | 9 | "Aurora didn’t turn around." | | 10 | "The air between them thickened," | | 11 | "Eva exhaled, slow and deliberate." | | 12 | "Aurora finally faced her." | | 13 | "Eva’s fingers twitched toward the" | | 14 | "Aurora’s voice was low, rough" | | 15 | "Eva’s jaw tightened." | | 16 | "Aurora stepped closer, the scent" | | 17 | "Eva’s hands clenched around the" | | 18 | "Aurora’s laugh was bitter." | | 19 | "A sharp intake of breath." |
| | ratio | 1 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 40 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 14 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 3 | | matches | | 0 | "Eva said, though her voice was soft, just loud enough to carry over the hum of the flat’s single bulb" | | 1 | "Aurora said, her voice quieter now" | | 2 | "Aurora said, her voice breaking just a little" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 26 | | tagDensity | 0.115 | | leniency | 0.231 | | rawRatio | 0 | | effectiveRatio | 0 | |