| 75.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said finally [finally]" |
| | dialogueSentences | 16 | | tagDensity | 0.438 | | leniency | 0.875 | | rawRatio | 0.143 | | effectiveRatio | 0.125 | |
| 74.23% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 776 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | | 2 | | adverb | "barely above a whisper" | | count | 1 |
|
| | highlights | | 0 | "slightly" | | 1 | "very" | | 2 | "barely above a whisper" |
| |
| 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 | 776 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "tension" | | 1 | "palpable" | | 2 | "processed" | | 3 | "sanctuary" | | 4 | "reminder" | | 5 | "flicked" | | 6 | "unspoken" | | 7 | "scanned" | | 8 | "eyebrow" | | 9 | "measured" | | 10 | "silence" | | 11 | "wavered" | | 12 | "weight" | | 13 | "whisper" | | 14 | "etched" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "hung in the air" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 44 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 44 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 53 | | 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 | 0 | | markdownWords | 0 | | totalWords | 775 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 19.49% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 613 | | uniqueNames | 7 | | maxNameDensity | 2.61 | | worstName | "Lucien" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Lucien" | | discoveredNames | | Aurora | 13 | | Carter | 1 | | Moreau | 1 | | Lucien | 16 | | Ptolemy | 2 | | Eva | 1 | | Evan | 2 |
| | persons | | 0 | "Aurora" | | 1 | "Carter" | | 2 | "Moreau" | | 3 | "Lucien" | | 4 | "Ptolemy" | | 5 | "Eva" | | 6 | "Evan" |
| | places | (empty) | | globalScore | 0.195 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 40 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 775 | | matches | (empty) | |
| 40.88% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 53 | | matches | | 0 | "knew that she" | | 1 | "realized that she" |
| |
| 57.24% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 20 | | mean | 38.75 | | std | 13.58 | | cv | 0.35 | | sampleLengths | | 0 | 67 | | 1 | 45 | | 2 | 39 | | 3 | 43 | | 4 | 19 | | 5 | 47 | | 6 | 40 | | 7 | 20 | | 8 | 26 | | 9 | 62 | | 10 | 43 | | 11 | 28 | | 12 | 37 | | 13 | 34 | | 14 | 45 | | 15 | 44 | | 16 | 14 | | 17 | 24 | | 18 | 54 | | 19 | 44 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 44 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 107 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 53 | | ratio | 0 | | matches | (empty) | |
| 82.76% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 201 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 12 | | adverbRatio | 0.05970149253731343 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.004975124378109453 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 53 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 53 | | mean | 14.62 | | std | 5.88 | | cv | 0.402 | | sampleLengths | | 0 | 16 | | 1 | 21 | | 2 | 14 | | 3 | 16 | | 4 | 13 | | 5 | 15 | | 6 | 17 | | 7 | 16 | | 8 | 23 | | 9 | 21 | | 10 | 12 | | 11 | 10 | | 12 | 15 | | 13 | 4 | | 14 | 15 | | 15 | 11 | | 16 | 21 | | 17 | 24 | | 18 | 12 | | 19 | 4 | | 20 | 10 | | 21 | 10 | | 22 | 12 | | 23 | 14 | | 24 | 20 | | 25 | 23 | | 26 | 14 | | 27 | 5 | | 28 | 12 | | 29 | 23 | | 30 | 8 | | 31 | 8 | | 32 | 20 | | 33 | 11 | | 34 | 21 | | 35 | 5 | | 36 | 4 | | 37 | 30 | | 38 | 15 | | 39 | 8 | | 40 | 22 | | 41 | 12 | | 42 | 17 | | 43 | 15 | | 44 | 14 | | 45 | 10 | | 46 | 14 | | 47 | 14 | | 48 | 18 | | 49 | 22 |
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| 66.04% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.39622641509433965 | | totalSentences | 53 | | uniqueOpeners | 21 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 44 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 44 | | matches | | 0 | "It had been months since" | | 1 | "Her flat, above" | | 2 | "she asked, her tone even," | | 3 | "He stepped forward, his movements" | | 4 | "she repeated, her voice firm" | | 5 | "Their past was complicated, filled" | | 6 | "he began, his voice low," | | 7 | "she asked, her voice cautious" | | 8 | "She'd thought she'd left Evan's" | | 9 | "She'd thought she'd closed the" | | 10 | "She knew that she couldn't" | | 11 | "she said finally, her voice" | | 12 | "She saw the sincerity in" |
| | ratio | 0.295 | |
| 28.18% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 38 | | totalSentences | 44 | | matches | | 0 | "The door creaked open, and" | | 1 | "Lucien Moreau stood in the" | | 2 | "It had been months since" | | 3 | "Aurora's grip on the door" | | 4 | "Her flat, above" | | 5 | "she asked, her tone even," | | 6 | "Lucien's heterochromatic eyes, one amber," | | 7 | "He stepped forward, his movements" | | 8 | "The sound of Ptolemy, Eva's" | | 9 | "Aurora's gaze flicked toward the" | | 10 | "she repeated, her voice firm" | | 11 | "Lucien said, his eyes never" | | 12 | "Aurora hesitated, unsure if she" | | 13 | "Their past was complicated, filled" | | 14 | "Ptolemy, sensing a stranger, darted" | | 15 | "Lucien's gaze returned to hers," | | 16 | "Aurora sighed, closing the door" | | 17 | "Lucien settled onto the couch," | | 18 | "The thin blade concealed within" | | 19 | "he began, his voice low," |
| | ratio | 0.864 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 44 | | matches | | 0 | "But, something in his expression," | | 1 | "But, with Lucien's warning, she" |
| | ratio | 0.045 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 4 | | matches | | 0 | "she repeated, her voice firm" | | 1 | "he began, his voice low, measured" | | 2 | "she asked, her voice cautious" | | 3 | "she said finally, her voice barely above a whisper" |
| |
| 87.50% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 16 | | tagDensity | 0.313 | | leniency | 0.625 | | rawRatio | 0.2 | | effectiveRatio | 0.125 | |