| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 2 | | adverbTags | | 0 | "Eva said smoothly [smoothly]" | | 1 | "Eva clarified quickly [quickly]" |
| | dialogueSentences | 67 | | tagDensity | 0.284 | | leniency | 0.567 | | rawRatio | 0.105 | | effectiveRatio | 0.06 | |
| 74.60% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1772 | | totalAiIsmAdverbs | 9 | | found | | | highlights | | 0 | "suddenly" | | 1 | "quickly" | | 2 | "really" | | 3 | "carefully" | | 4 | "slightly" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 57.67% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1772 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "warmth" | | 1 | "flickered" | | 2 | "glinting" | | 3 | "flicked" | | 4 | "silence" | | 5 | "traced" | | 6 | "fleeting" | | 7 | "could feel" | | 8 | "pulse" | | 9 | "unreadable" | | 10 | "familiar" | | 11 | "comforting" | | 12 | "throbbed" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 130 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 130 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 178 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 9 | | totalWords | 1761 | | ratio | 0.005 | | matches | | 0 | "Looking forward to tomorrow. Wear something nice. - E" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 101 | | wordCount | 1414 | | uniqueNames | 14 | | maxNameDensity | 2.48 | | worstName | "Rory" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Eva" | | discoveredNames | | Raven | 4 | | Nest | 4 | | Rory | 35 | | Cardiff | 1 | | Bay | 1 | | Eva | 34 | | Golden | 1 | | Empress | 1 | | Six | 4 | | New | 1 | | York | 1 | | Silas | 9 | | Evan | 3 | | Like | 2 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Rory" | | 3 | "Eva" | | 4 | "Empress" | | 5 | "Silas" | | 6 | "Evan" | | 7 | "Like" |
| | places | | 0 | "Cardiff" | | 1 | "Bay" | | 2 | "Golden" | | 3 | "New" | | 4 | "York" |
| | globalScore | 0.262 | | windowScore | 0.167 | |
| 77.18% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 103 | | glossingSentenceCount | 3 | | matches | | 0 | "appeared beside them, his limp more pronounced than usual" | | 1 | "looked like a smile" | | 2 | "as if waiting for something more" |
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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 | 1761 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 178 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 82 | | mean | 21.48 | | std | 17.24 | | cv | 0.803 | | sampleLengths | | 0 | 46 | | 1 | 7 | | 2 | 50 | | 3 | 84 | | 4 | 13 | | 5 | 56 | | 6 | 29 | | 7 | 40 | | 8 | 26 | | 9 | 19 | | 10 | 31 | | 11 | 20 | | 12 | 5 | | 13 | 10 | | 14 | 49 | | 15 | 10 | | 16 | 23 | | 17 | 3 | | 18 | 2 | | 19 | 36 | | 20 | 12 | | 21 | 26 | | 22 | 2 | | 23 | 13 | | 24 | 63 | | 25 | 11 | | 26 | 14 | | 27 | 42 | | 28 | 20 | | 29 | 9 | | 30 | 14 | | 31 | 5 | | 32 | 5 | | 33 | 41 | | 34 | 8 | | 35 | 12 | | 36 | 20 | | 37 | 2 | | 38 | 19 | | 39 | 8 | | 40 | 49 | | 41 | 30 | | 42 | 4 | | 43 | 2 | | 44 | 11 | | 45 | 41 | | 46 | 16 | | 47 | 47 | | 48 | 10 | | 49 | 18 |
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| 99.87% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 130 | | matches | | 0 | "been replaced" | | 1 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 249 | | matches | | 0 | "was watching" | | 1 | "was filling" |
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| 62.60% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 178 | | ratio | 0.028 | | matches | | 0 | "Aurora didn't need to look up to know who it was—she recognised the cadence, the way the words curled at the edges like old paper." | | 1 | "Only her eyes remained the same—sharp, assessing, the colour of storm clouds over Cardiff Bay." | | 2 | "Eva's expression didn't change, but something flickered in her eyes—something that might have been hurt if Rory didn't know better." | | 3 | "She counted Eva's steps—one, two, three—until the door swung shut behind her." | | 4 | "Inside, the space was exactly as she'd left it—clothes draped over the chair, takeaway containers stacked on the counter, the bed unmade." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1424 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 51 | | adverbRatio | 0.03581460674157303 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.010533707865168539 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 178 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 178 | | mean | 9.89 | | std | 6.51 | | cv | 0.658 | | sampleLengths | | 0 | 23 | | 1 | 23 | | 2 | 7 | | 3 | 14 | | 4 | 25 | | 5 | 11 | | 6 | 24 | | 7 | 26 | | 8 | 19 | | 9 | 15 | | 10 | 10 | | 11 | 3 | | 12 | 11 | | 13 | 25 | | 14 | 20 | | 15 | 18 | | 16 | 11 | | 17 | 11 | | 18 | 20 | | 19 | 9 | | 20 | 10 | | 21 | 14 | | 22 | 2 | | 23 | 12 | | 24 | 7 | | 25 | 7 | | 26 | 9 | | 27 | 12 | | 28 | 3 | | 29 | 8 | | 30 | 12 | | 31 | 5 | | 32 | 2 | | 33 | 8 | | 34 | 14 | | 35 | 21 | | 36 | 14 | | 37 | 10 | | 38 | 20 | | 39 | 3 | | 40 | 3 | | 41 | 2 | | 42 | 16 | | 43 | 10 | | 44 | 10 | | 45 | 10 | | 46 | 2 | | 47 | 14 | | 48 | 9 | | 49 | 3 |
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| 52.43% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.3651685393258427 | | totalSentences | 178 | | uniqueOpeners | 65 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 122 | | matches | | 0 | "Only her eyes remained the" | | 1 | "Somewhere in the back room," | | 2 | "Away from the memories." | | 3 | "Away from the past that" | | 4 | "Instead, she nodded." | | 5 | "Instead, she slid off her" |
| | ratio | 0.049 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 122 | | matches | | 0 | "Her hands, always ink-stained back" | | 1 | "She gestured to Rory's apron," | | 2 | "He carried a dustpan and" | | 3 | "She should finish her drink" | | 4 | "she heard herself say" | | 5 | "She took a deep breath," | | 6 | "She counted Eva's steps—one, two," | | 7 | "She was halfway up when" | | 8 | "She stood in the middle" | | 9 | "It pressed against her ears," | | 10 | "She could just make out" | | 11 | "Her phone buzzed in her" | | 12 | "She deleted it without replying." |
| | ratio | 0.107 | |
| 62.46% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 97 | | totalSentences | 122 | | matches | | 0 | "The glass slipped from her" | | 1 | "The ice cubes skittered across" | | 2 | "The voice was deeper than" | | 3 | "Aurora didn't need to look" | | 4 | "Eva stood there in the" | | 5 | "The leather jacket she'd lived" | | 6 | "Her hands, always ink-stained back" | | 7 | "Rory said, because what else" | | 8 | "Eva's laugh was a dry" | | 9 | "She gestured to Rory's apron," | | 10 | "Rory knelt to pick up" | | 11 | "The words hung between them," | | 12 | "Eva's expression didn't change, but" | | 13 | "Eva had always been good" | | 14 | "Silas appeared beside them, his" | | 15 | "He carried a dustpan and" | | 16 | "Eva said smoothly, stepping back" | | 17 | "Rory corrected, because the number" | | 18 | "Silas swept up the glass" | | 19 | "Eva had always known exactly" |
| | ratio | 0.795 | |
| 40.98% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 122 | | matches | | 0 | "Even from here, she looked" |
| | ratio | 0.008 | |
| 93.60% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 58 | | technicalSentenceCount | 4 | | matches | | 0 | "Eva stood there in the dim light of The Raven's Nest, her once-wild curls tamed into a sleek blonde bob that skimmed her jawline." | | 1 | "Eva's expression didn't change, but something flickered in her eyes—something that might have been hurt if Rory didn't know better." | | 2 | "The girl who'd shared her notes and her vodka and her dreams." | | 3 | "The silence that followed his departure was the kind that settled in your bones." |
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| 46.05% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 3 | | matches | | 0 | "Rory knelt, her fingers moving automatically" | | 1 | "Rory corrected, because the number mattered" | | 2 | "Silas wiped, his signet ring catching the light" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 3 | | fancyTags | | 0 | "Rory corrected (correct)" | | 1 | "Eva clarified quickly (clarify)" | | 2 | "she heard (hear)" |
| | dialogueSentences | 67 | | tagDensity | 0.09 | | leniency | 0.179 | | rawRatio | 0.5 | | effectiveRatio | 0.09 | |