| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 65 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1105 | | 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) | |
| 90.95% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1105 | | totalAiIsms | 2 | | found | | | highlights | | |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "let out a breath" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 62 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 62 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 113 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 51 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1116 | | ratio | 0 | | matches | (empty) | |
| 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 | 14 | | wordCount | 714 | | uniqueNames | 6 | | maxNameDensity | 0.56 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Ptolemy" | | discoveredNames | | Ptolemy | 3 | | Lucien | 3 | | Eva | 2 | | Rory | 4 | | Low | 1 | | Prague | 1 |
| | persons | | 0 | "Ptolemy" | | 1 | "Lucien" | | 2 | "Eva" | | 3 | "Rory" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 38 | | glossingSentenceCount | 3 | | matches | | 0 | "quite an apology and wasn't quite not" | | 1 | "quite not" | | 2 | "not quite all the way" | | 3 | "quite a smile" |
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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 | 1116 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 113 | | matches | | 0 | "was that ran" | | 1 | "did that thing" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 74 | | mean | 15.08 | | std | 16.71 | | cv | 1.108 | | sampleLengths | | 0 | 32 | | 1 | 11 | | 2 | 55 | | 3 | 5 | | 4 | 4 | | 5 | 9 | | 6 | 29 | | 7 | 3 | | 8 | 2 | | 9 | 2 | | 10 | 3 | | 11 | 28 | | 12 | 7 | | 13 | 5 | | 14 | 2 | | 15 | 35 | | 16 | 28 | | 17 | 54 | | 18 | 4 | | 19 | 3 | | 20 | 1 | | 21 | 4 | | 22 | 44 | | 23 | 4 | | 24 | 21 | | 25 | 49 | | 26 | 11 | | 27 | 43 | | 28 | 9 | | 29 | 2 | | 30 | 3 | | 31 | 5 | | 32 | 9 | | 33 | 7 | | 34 | 64 | | 35 | 3 | | 36 | 2 | | 37 | 10 | | 38 | 3 | | 39 | 51 | | 40 | 23 | | 41 | 15 | | 42 | 5 | | 43 | 1 | | 44 | 13 | | 45 | 1 | | 46 | 1 | | 47 | 1 | | 48 | 23 | | 49 | 12 |
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| 93.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 62 | | matches | | 0 | "been made" | | 1 | "was, slipped" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 128 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 2 | | flaggedSentences | 8 | | totalSentences | 113 | | ratio | 0.071 | | matches | | 0 | "The amber eye caught the hallway bulb; the black one swallowed it." | | 1 | "He inclined his head — that small, maddening gesture that wasn't quite an apology and wasn't quite not." | | 2 | "His gaze moved over the flat — the teetering stacks on the coffee table, the half-eaten toast on the arm of the sofa, her jumper slung over Eva's reading chair — and landed, finally, on her." | | 3 | "Her wrist trembled — just once, just enough that the water sloshed — and the crescent scar on the pale underside caught the overhead light." | | 4 | "Not pleading; he never pleaded." | | 5 | "He was closer than she'd estimated — half a step, maybe — close enough that she had to tip her chin to meet him." | | 6 | "She laughed — short, wet, mostly a breath." | | 7 | "Instead her hand rose of its own accord, found the lapel of his waistcoat, and fisted there — not pulling, not yet, just holding, as though she needed proof he was solid and warm and here." |
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| 94.22% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 708 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.046610169491525424 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.007062146892655367 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 113 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 113 | | mean | 9.88 | | std | 9.71 | | cv | 0.983 | | sampleLengths | | 0 | 6 | | 1 | 26 | | 2 | 11 | | 3 | 38 | | 4 | 5 | | 5 | 12 | | 6 | 5 | | 7 | 4 | | 8 | 9 | | 9 | 12 | | 10 | 17 | | 11 | 3 | | 12 | 2 | | 13 | 2 | | 14 | 3 | | 15 | 9 | | 16 | 19 | | 17 | 4 | | 18 | 3 | | 19 | 5 | | 20 | 2 | | 21 | 18 | | 22 | 17 | | 23 | 3 | | 24 | 3 | | 25 | 22 | | 26 | 18 | | 27 | 36 | | 28 | 4 | | 29 | 3 | | 30 | 1 | | 31 | 4 | | 32 | 22 | | 33 | 22 | | 34 | 4 | | 35 | 21 | | 36 | 20 | | 37 | 4 | | 38 | 25 | | 39 | 8 | | 40 | 3 | | 41 | 2 | | 42 | 11 | | 43 | 6 | | 44 | 24 | | 45 | 9 | | 46 | 2 | | 47 | 3 | | 48 | 5 | | 49 | 2 |
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| 59.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.40707964601769914 | | totalSentences | 113 | | uniqueOpeners | 46 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 46 | | matches | | 0 | "Then the door swung open" | | 1 | "Somewhere beneath them, the curry" | | 2 | "Instead her hand rose of" |
| | ratio | 0.065 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 46 | | matches | | 0 | "She kept her hand on" | | 1 | "He inclined his head —" | | 2 | "She stepped aside." | | 3 | "She shouldn't have." | | 4 | "She did it anyway and" | | 5 | "He set the cane against" | | 6 | "His gaze moved over the" | | 7 | "He shrugged out of his" | | 8 | "She filled the kettle." | | 9 | "Her wrist trembled — just" | | 10 | "she said, with her back" | | 11 | "He stopped a pace behind" | | 12 | "She could smell the rain" | | 13 | "She set the kettle down." | | 14 | "He was closer than she'd" | | 15 | "His mismatched eyes did that" | | 16 | "She'd never seen him flinch" | | 17 | "It was almost worth the" | | 18 | "She laughed — short, wet," | | 19 | "he said, and the corner" |
| | ratio | 0.609 | |
| 14.35% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 41 | | totalSentences | 46 | | matches | | 0 | "The third deadbolt stuck, as" | | 1 | "Rory shouldered the door and" | | 2 | "Lucien stood in the stairwell" | | 3 | "Rain beaded on his shoulders." | | 4 | "The amber eye caught the" | | 5 | "She kept her hand on" | | 6 | "Ptolemy, traitor that he was," | | 7 | "The rain sighed against the" | | 8 | "Rory crossed her arms." | | 9 | "He inclined his head —" | | 10 | "She stepped aside." | | 11 | "She shouldn't have." | | 12 | "She did it anyway and" | | 13 | "He set the cane against" | | 14 | "His gaze moved over the" | | 15 | "He shrugged out of his" | | 16 | "Rory walked past him into" | | 17 | "She filled the kettle." | | 18 | "Her wrist trembled — just" | | 19 | "she said, with her back" |
| | ratio | 0.891 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 46 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 1 | | matches | | 0 | "Instead her hand rose of its own accord, found the lapel of his waistcoat, and fisted there — not pulling, not yet, just holding, as though she needed proof he …" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 1 | | fancyTags | | 0 | "Rory muttered (mutter)" |
| | dialogueSentences | 65 | | tagDensity | 0.154 | | leniency | 0.308 | | rawRatio | 0.1 | | effectiveRatio | 0.031 | |