| 78.79% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 27 | | adverbTagCount | 4 | | adverbTags | | 0 | "she asked again [again]" | | 1 | "he said simply [simply]" | | 2 | "he replied smoothly [smoothly]" | | 3 | "she said finally [finally]" |
| | dialogueSentences | 66 | | tagDensity | 0.409 | | leniency | 0.818 | | rawRatio | 0.148 | | effectiveRatio | 0.121 | |
| 74.65% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 986 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "warily" | | 1 | "lightly" | | 2 | "very" | | 3 | "perfectly" | | 4 | "quickly" |
| |
| 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) | |
| 8.72% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 986 | | totalAiIsms | 18 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | word | "skipped a beat" | | count | 1 |
| | 11 | | | 12 | | | 13 | |
| | highlights | | 0 | "familiar" | | 1 | "traced" | | 2 | "calculating" | | 3 | "unspoken" | | 4 | "eyebrow" | | 5 | "silence" | | 6 | "charged" | | 7 | "tension" | | 8 | "facade" | | 9 | "raced" | | 10 | "skipped a beat" | | 11 | "anticipation" | | 12 | "stomach" | | 13 | "fleeting" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
| | 1 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "stomach dropped" | | 1 | "sent a jolt through" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 95 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 95 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 134 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 975 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 30 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 12 | | wordCount | 665 | | uniqueNames | 5 | | maxNameDensity | 0.75 | | worstName | "Lucien" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 2 | | Lucien | 5 | | French | 1 | | Ptolemy | 3 | | Resigned | 1 |
| | persons | | 0 | "Rory" | | 1 | "Lucien" | | 2 | "Ptolemy" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | 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 | 975 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 134 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 61 | | mean | 15.98 | | std | 9.42 | | cv | 0.589 | | sampleLengths | | 0 | 25 | | 1 | 14 | | 2 | 42 | | 3 | 59 | | 4 | 15 | | 5 | 13 | | 6 | 25 | | 7 | 19 | | 8 | 29 | | 9 | 9 | | 10 | 13 | | 11 | 20 | | 12 | 7 | | 13 | 10 | | 14 | 13 | | 15 | 17 | | 16 | 19 | | 17 | 17 | | 18 | 17 | | 19 | 10 | | 20 | 11 | | 21 | 19 | | 22 | 7 | | 23 | 5 | | 24 | 14 | | 25 | 13 | | 26 | 37 | | 27 | 25 | | 28 | 8 | | 29 | 15 | | 30 | 4 | | 31 | 17 | | 32 | 8 | | 33 | 7 | | 34 | 25 | | 35 | 16 | | 36 | 10 | | 37 | 10 | | 38 | 10 | | 39 | 9 | | 40 | 13 | | 41 | 17 | | 42 | 10 | | 43 | 16 | | 44 | 25 | | 45 | 7 | | 46 | 10 | | 47 | 10 | | 48 | 20 | | 49 | 21 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 95 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 133 | | matches | (empty) | |
| 14.93% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 134 | | ratio | 0.045 | | matches | | 0 | "The air thickened with the scent of his cologne—bergamot and something dark, smoky." | | 1 | "He paused, his gaze sweeping over her flat—the mismatched furniture, the overflowing shelves, the faint scent of curry wafting up from the restaurant below." | | 2 | "She laughed—a short, bitter sound." | | 3 | "“Flattering.” His cane tapped the floor again—a slow, deliberate rhythm." | | 4 | "The photo showed a man—mid-thirties, dark-haired, and bleeding from a gash above his left eye." | | 5 | "He smiled—a slow, dangerous curve of his lips." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 675 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.03259259259259259 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.008888888888888889 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 134 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 134 | | mean | 7.28 | | std | 4.49 | | cv | 0.617 | | sampleLengths | | 0 | 9 | | 1 | 13 | | 2 | 1 | | 3 | 2 | | 4 | 14 | | 5 | 15 | | 6 | 4 | | 7 | 2 | | 8 | 13 | | 9 | 8 | | 10 | 8 | | 11 | 25 | | 12 | 10 | | 13 | 7 | | 14 | 9 | | 15 | 7 | | 16 | 8 | | 17 | 9 | | 18 | 4 | | 19 | 13 | | 20 | 8 | | 21 | 2 | | 22 | 2 | | 23 | 11 | | 24 | 3 | | 25 | 2 | | 26 | 3 | | 27 | 24 | | 28 | 3 | | 29 | 2 | | 30 | 6 | | 31 | 3 | | 32 | 9 | | 33 | 4 | | 34 | 9 | | 35 | 5 | | 36 | 6 | | 37 | 7 | | 38 | 7 | | 39 | 3 | | 40 | 6 | | 41 | 7 | | 42 | 12 | | 43 | 5 | | 44 | 9 | | 45 | 10 | | 46 | 6 | | 47 | 11 | | 48 | 5 | | 49 | 12 |
| |
| 73.88% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.4701492537313433 | | totalSentences | 134 | | uniqueOpeners | 63 | |
| 42.19% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 79 | | matches | | | ratio | 0.013 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 47 | | totalSentences | 79 | | matches | | 0 | "she said, her voice steady" | | 1 | "he said, his French accent" | | 2 | "Her flat felt smaller with" | | 3 | "she repeated, her tone dry" | | 4 | "He stepped further into the" | | 5 | "she asked, cutting to the" | | 6 | "He paused, his gaze sweeping" | | 7 | "She didn’t rise to the" | | 8 | "His eyes snapped back to" | | 9 | "She laughed—a short, bitter sound." | | 10 | "she shot back" | | 11 | "He tilted his head, considering" | | 12 | "She stepped closer, her chest" | | 13 | "he corrected, his voice low" | | 14 | "She bristled but didn’t back" | | 15 | "He raised an eyebrow" | | 16 | "Her breath hitched." | | 17 | "she admitted, her tone defiant" | | 18 | "His cane tapped the floor" | | 19 | "she asked again, her voice" |
| | ratio | 0.595 | |
| 10.63% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 79 | | matches | | 0 | "The door clicked shut behind" | | 1 | "The air thickened with the" | | 2 | "she said, her voice steady" | | 3 | "Lucien leaned against the wall," | | 4 | "he said, his French accent" | | 5 | "Her flat felt smaller with" | | 6 | "The chaos of books and" | | 7 | "Rory crossed her arms, her" | | 8 | "A childhood accident, she’d told" | | 9 | "A lie, but he’d never" | | 10 | "she repeated, her tone dry" | | 11 | "A ghost of a smile" | | 12 | "He stepped further into the" | | 13 | "The ivory handle gleamed, hiding" | | 14 | "she asked, cutting to the" | | 15 | "He paused, his gaze sweeping" | | 16 | "She didn’t rise to the" | | 17 | "His eyes snapped back to" | | 18 | "The words hung between them," | | 19 | "She laughed—a short, bitter sound." |
| | ratio | 0.899 | |
| 63.29% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 79 | | matches | | 0 | "Before she could respond, he" |
| | ratio | 0.013 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 17 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 27 | | uselessAdditionCount | 9 | | matches | | 0 | "she said, her voice steady despite the tremor in her hands" | | 1 | "she repeated, her tone dry" | | 2 | "She stepped, her chest brushing against his tailored charcoal suit" | | 3 | "he corrected, his voice low" | | 4 | "she admitted, her tone defiant" | | 5 | "she asked again, her voice softer this time" | | 6 | "she asked, her focus sharpening despite herself" | | 7 | "he said, his voice low" | | 8 | "he interrupted, his tone amused" |
| |
| 43.94% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 20 | | fancyCount | 7 | | fancyTags | | 0 | "she repeated (repeat)" | | 1 | "he murmured (murmur)" | | 2 | "he corrected (correct)" | | 3 | "she admitted (admit)" | | 4 | "she muttered (mutter)" | | 5 | "he agreed (agree)" | | 6 | "he interrupted (interrupt)" |
| | dialogueSentences | 66 | | tagDensity | 0.303 | | leniency | 0.606 | | rawRatio | 0.35 | | effectiveRatio | 0.212 | |