| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 28 | | adverbTagCount | 3 | | adverbTags | | 0 | "He leaned slightly [slightly]" | | 1 | "Rory finally said [finally]" | | 2 | "he finally said [finally]" |
| | dialogueSentences | 75 | | tagDensity | 0.373 | | leniency | 0.747 | | rawRatio | 0.107 | | effectiveRatio | 0.08 | |
| 72.32% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1445 | | totalAiIsmAdverbs | 8 | | found | | | highlights | | 0 | "slowly" | | 1 | "slightly" | | 2 | "perfectly" | | 3 | "quickly" | | 4 | "really" |
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| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 37.72% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1445 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "comforting" | | 1 | "intensity" | | 2 | "pulse" | | 3 | "quickened" | | 4 | "navigating" | | 5 | "cascading" | | 6 | "familiar" | | 7 | "charm" | | 8 | "remarkable" | | 9 | "gleaming" | | 10 | "stomach" | | 11 | "wavered" | | 12 | "silence" | | 13 | "charged" | | 14 | "warmth" |
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| 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 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 81 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 81 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 125 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1432 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 71.70% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 894 | | uniqueNames | 7 | | maxNameDensity | 1.57 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Eva | 4 | | Rory | 14 | | Ptolemy | 5 | | French | 1 | | Moreau | 1 | | Lucien | 9 | | Mrs | 1 |
| | persons | | 0 | "Eva" | | 1 | "Rory" | | 2 | "Ptolemy" | | 3 | "Moreau" | | 4 | "Lucien" | | 5 | "Mrs" |
| | places | (empty) | | globalScore | 0.717 | | windowScore | 0.833 | |
| 77.54% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like a library after an earthquake" | | 1 | "not quite inviting him in" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1432 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 125 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 70 | | mean | 20.46 | | std | 12.05 | | cv | 0.589 | | sampleLengths | | 0 | 67 | | 1 | 20 | | 2 | 9 | | 3 | 34 | | 4 | 15 | | 5 | 35 | | 6 | 7 | | 7 | 21 | | 8 | 9 | | 9 | 50 | | 10 | 10 | | 11 | 46 | | 12 | 14 | | 13 | 20 | | 14 | 31 | | 15 | 32 | | 16 | 11 | | 17 | 34 | | 18 | 14 | | 19 | 7 | | 20 | 32 | | 21 | 16 | | 22 | 29 | | 23 | 10 | | 24 | 17 | | 25 | 12 | | 26 | 28 | | 27 | 16 | | 28 | 23 | | 29 | 17 | | 30 | 22 | | 31 | 7 | | 32 | 18 | | 33 | 3 | | 34 | 6 | | 35 | 28 | | 36 | 5 | | 37 | 36 | | 38 | 32 | | 39 | 14 | | 40 | 4 | | 41 | 25 | | 42 | 27 | | 43 | 22 | | 44 | 13 | | 45 | 23 | | 46 | 35 | | 47 | 23 | | 48 | 16 | | 49 | 9 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 81 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 153 | | matches | | |
| 74.29% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 125 | | ratio | 0.024 | | matches | | 0 | "\"Aurora.\" His mismatched eyes—one amber, one black—assessed her with quiet intensity." | | 1 | "The scent of his cologne—something expensive with notes of cedar and bergamot—mingled with the petrichor from the rain." | | 2 | "Lucien's gaze fixed on the scar, and something flashed across his face—something raw and furious that disappeared so quickly she might have imagined it." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 870 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.0367816091954023 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.013793103448275862 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 125 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 125 | | mean | 11.46 | | std | 6.65 | | cv | 0.581 | | sampleLengths | | 0 | 13 | | 1 | 14 | | 2 | 40 | | 3 | 8 | | 4 | 12 | | 5 | 9 | | 6 | 20 | | 7 | 10 | | 8 | 4 | | 9 | 11 | | 10 | 4 | | 11 | 15 | | 12 | 20 | | 13 | 7 | | 14 | 18 | | 15 | 3 | | 16 | 9 | | 17 | 6 | | 18 | 14 | | 19 | 30 | | 20 | 10 | | 21 | 22 | | 22 | 24 | | 23 | 11 | | 24 | 3 | | 25 | 18 | | 26 | 2 | | 27 | 31 | | 28 | 18 | | 29 | 14 | | 30 | 11 | | 31 | 6 | | 32 | 12 | | 33 | 16 | | 34 | 8 | | 35 | 6 | | 36 | 6 | | 37 | 1 | | 38 | 15 | | 39 | 17 | | 40 | 16 | | 41 | 11 | | 42 | 18 | | 43 | 10 | | 44 | 13 | | 45 | 4 | | 46 | 6 | | 47 | 6 | | 48 | 12 | | 49 | 16 |
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| 73.07% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.448 | | totalSentences | 125 | | uniqueOpeners | 56 | |
| 42.19% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 79 | | matches | | 0 | "Even dyed her hair for" |
| | ratio | 0.013 | |
| 47.85% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 79 | | matches | | 0 | "She wasn't expecting anyone, and" | | 1 | "she told the cat, though" | | 2 | "She padded across the book-strewn" | | 3 | "She reached for the first" | | 4 | "She closed her eyes briefly," | | 5 | "His ivory-handled cane hung from" | | 6 | "His mismatched eyes—one amber, one" | | 7 | "She kept her grip tight" | | 8 | "He leaned slightly on his" | | 9 | "She didn't move from the" | | 10 | "He glanced past her into" | | 11 | "He brushed past her, close" | | 12 | "She shut the door behind" | | 13 | "he remarked, setting his cane" | | 14 | "He straightened, unbuttoning his suit" | | 15 | "She held up a hand" | | 16 | "She'd been careful." | | 17 | "He took a step toward" | | 18 | "She didn't respond, focusing instead" | | 19 | "She turned to find him" |
| | ratio | 0.43 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 79 | | matches | | 0 | "Rory's spoon clinked against her" | | 1 | "Rain drummed steadily against Eva's" | | 2 | "Eva was out chasing down" | | 3 | "The tabby blinked slowly, clearly" | | 4 | "She wasn't expecting anyone, and" | | 5 | "Ptolemy's ears flattened slightly." | | 6 | "she told the cat, though" | | 7 | "She padded across the book-strewn" | | 8 | "The flat always looked like" | | 9 | "Another three knocks, more insistent" | | 10 | "She reached for the first" | | 11 | "The voice froze her hand" | | 12 | "That smooth French accent, the" | | 13 | "She closed her eyes briefly," | | 14 | "Rory unlatched the final deadlock" | | 15 | "Lucien Moreau stood in the" | | 16 | "His ivory-handled cane hung from" | | 17 | "His mismatched eyes—one amber, one" | | 18 | "She kept her grip tight" | | 19 | "He leaned slightly on his" |
| | ratio | 0.937 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 79 | | matches | (empty) | | ratio | 0 | |
| 93.60% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 2 | | matches | | 0 | "Eva was out chasing down some rare book, leaving Rory alone with Ptolemy, who watched her from his perch on the windowsill with that particular feline intensity…" | | 1 | "His ivory-handled cane hung from one wrist as he ran a hand through his slicked-back hair, displacing droplets that caught the dim hallway light." |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 28 | | uselessAdditionCount | 4 | | matches | | 0 | "She kept, not quite inviting him in" | | 1 | "She aimed, but her voice wavered slightly" | | 2 | "Rory finally said, her voice quiet but firm" | | 3 | "he finally said, the admission seeming to cost him something" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 75 | | tagDensity | 0.067 | | leniency | 0.133 | | rawRatio | 0.2 | | effectiveRatio | 0.027 | |