| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "She turned sharply [sharply]" |
| | dialogueSentences | 94 | | tagDensity | 0.16 | | leniency | 0.319 | | rawRatio | 0.067 | | effectiveRatio | 0.021 | |
| 79.77% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1236 | | totalAiIsmAdverbs | 5 | | found | | 0 | | | 1 | | | 2 | | | 3 | | adverb | "barely above a whisper" | | count | 1 |
| | 4 | |
| | highlights | | 0 | "slightly" | | 1 | "sharply" | | 2 | "really" | | 3 | "barely above a whisper" | | 4 | "loosely" |
| |
| 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) | |
| 27.18% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1236 | | totalAiIsms | 18 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | word | "practiced ease" | | count | 1 |
| | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | |
| | highlights | | 0 | "unreadable" | | 1 | "eyebrow" | | 2 | "pulse" | | 3 | "quickened" | | 4 | "pawn" | | 5 | "echoed" | | 6 | "tension" | | 7 | "practiced ease" | | 8 | "gleaming" | | 9 | "furrowed" | | 10 | "whisper" | | 11 | "pounding" | | 12 | "shattered" | | 13 | "racing" | | 14 | "trembled" | | 15 | "stomach" |
| |
| 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 | 0 | | narrationSentences | 80 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 80 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 159 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1230 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 9 | | wordCount | 860 | | uniqueNames | 3 | | maxNameDensity | 0.7 | | worstName | "Lucien" | | maxWindowNameDensity | 1 | | worstWindowName | "Lucien" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | glossingSentenceCount | 1 | | matches | | 0 | "as if testing the waters" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1230 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 159 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 109 | | mean | 11.28 | | std | 11.55 | | cv | 1.023 | | sampleLengths | | 0 | 56 | | 1 | 36 | | 2 | 8 | | 3 | 3 | | 4 | 51 | | 5 | 48 | | 6 | 14 | | 7 | 6 | | 8 | 1 | | 9 | 16 | | 10 | 2 | | 11 | 8 | | 12 | 14 | | 13 | 1 | | 14 | 2 | | 15 | 15 | | 16 | 6 | | 17 | 1 | | 18 | 7 | | 19 | 2 | | 20 | 12 | | 21 | 6 | | 22 | 1 | | 23 | 13 | | 24 | 3 | | 25 | 20 | | 26 | 1 | | 27 | 1 | | 28 | 5 | | 29 | 2 | | 30 | 30 | | 31 | 7 | | 32 | 4 | | 33 | 18 | | 34 | 4 | | 35 | 2 | | 36 | 2 | | 37 | 19 | | 38 | 30 | | 39 | 16 | | 40 | 4 | | 41 | 26 | | 42 | 5 | | 43 | 19 | | 44 | 4 | | 45 | 5 | | 46 | 2 | | 47 | 39 | | 48 | 15 | | 49 | 14 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 80 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 169 | | matches | (empty) | |
| 88.95% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 159 | | ratio | 0.019 | | matches | | 0 | "He moved past her, the scent of his cologne—something dark and expensive—lingering in the narrow hallway." | | 1 | "A tabby cat—Ptolemy—watched from the windowsill, tail flicking as Lucien surveyed the room with a practiced eye." | | 2 | "Her breath caught in her throat as she stared at the image—a grainy snapshot of her leaving her flat, taken from across the street." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 866 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 26 | | adverbRatio | 0.03002309468822171 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.010392609699769052 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 159 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 159 | | mean | 7.74 | | std | 5.77 | | cv | 0.746 | | sampleLengths | | 0 | 12 | | 1 | 15 | | 2 | 21 | | 3 | 8 | | 4 | 20 | | 5 | 12 | | 6 | 4 | | 7 | 3 | | 8 | 5 | | 9 | 3 | | 10 | 9 | | 11 | 16 | | 12 | 26 | | 13 | 14 | | 14 | 17 | | 15 | 17 | | 16 | 14 | | 17 | 3 | | 18 | 3 | | 19 | 1 | | 20 | 12 | | 21 | 4 | | 22 | 2 | | 23 | 8 | | 24 | 9 | | 25 | 5 | | 26 | 1 | | 27 | 2 | | 28 | 12 | | 29 | 3 | | 30 | 6 | | 31 | 1 | | 32 | 7 | | 33 | 2 | | 34 | 5 | | 35 | 7 | | 36 | 6 | | 37 | 1 | | 38 | 6 | | 39 | 7 | | 40 | 3 | | 41 | 20 | | 42 | 1 | | 43 | 1 | | 44 | 5 | | 45 | 2 | | 46 | 6 | | 47 | 24 | | 48 | 7 | | 49 | 4 |
| |
| 56.81% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3710691823899371 | | totalSentences | 159 | | uniqueOpeners | 59 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 59 | | totalSentences | 74 | | matches | | 0 | "She leaned against the frame," | | 1 | "Her lips parted, but no" | | 2 | "He raised an eyebrow, the" | | 3 | "he said, his French accent" | | 4 | "Her jaw tightened." | | 5 | "Her laugh was dry, humorless," | | 6 | "He moved past her, the" | | 7 | "His polished shoes clicked against" | | 8 | "Her flat was small, cluttered" | | 9 | "He stopped near the worn" | | 10 | "she said, standing several feet" | | 11 | "He turned to face her" | | 12 | "She bristled at the use" | | 13 | "He stepped closer, and she" | | 14 | "Her laugh was sharp, brittle." | | 15 | "He tilted his head, considering" | | 16 | "He gestured to the cramped" | | 17 | "She stepped closer, her voice" | | 18 | "He studied her, the faintest" | | 19 | "His smile widened, but it" |
| | ratio | 0.797 | |
| 0.54% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 74 | | matches | | 0 | "The door swung open before" | | 1 | "Aurora stood there, her black" | | 2 | "She leaned against the frame," | | 3 | "Her lips parted, but no" | | 4 | "He raised an eyebrow, the" | | 5 | "he said, his French accent" | | 6 | "Her jaw tightened." | | 7 | "Her laugh was dry, humorless," | | 8 | "He moved past her, the" | | 9 | "His polished shoes clicked against" | | 10 | "Her flat was small, cluttered" | | 11 | "A tabby cat—Ptolemy—watched from the" | | 12 | "He stopped near the worn" | | 13 | "she said, standing several feet" | | 14 | "He turned to face her" | | 15 | "She bristled at the use" | | 16 | "He stepped closer, and she" | | 17 | "Her laugh was sharp, brittle." | | 18 | "He tilted his head, considering" | | 19 | "He gestured to the cramped" |
| | ratio | 0.919 | |
| 67.57% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 74 | | matches | | 0 | "Before she could reach it," |
| | ratio | 0.014 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 1 | | matches | | 0 | "Lucien opened the door, revealing a young man in a delivery uniform, holding a bag that smelled faintly of soy sauce and noodles." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 5 | | matches | | 0 | "he said, his French accent rolling smoothly off his tongue" | | 1 | "He gestured, the stacks of papers, the cat lounging indifferently" | | 2 | "She turned sharply, water sloshing over the rim of the glass" | | 3 | "she said, bitterness lacing her words" | | 4 | "he said, his voice low" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 3 | | fancyTags | | 0 | "he agreed (agree)" | | 1 | "he agreed (agree)" | | 2 | "he murmured (murmur)" |
| | dialogueSentences | 94 | | tagDensity | 0.128 | | leniency | 0.255 | | rawRatio | 0.25 | | effectiveRatio | 0.064 | |