| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 41 | | tagDensity | 0.293 | | leniency | 0.585 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.75% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1177 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 83.01% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1177 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "warmth" | | 1 | "familiar" | | 2 | "silence" | | 3 | "stomach" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 89 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 89 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 118 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1186 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 20 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 871 | | uniqueNames | 7 | | maxNameDensity | 0.46 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 4 | | Whitechapel | 1 | | Eva | 2 | | Ptolemy | 2 | | Moreau | 1 | | Soho | 1 | | Lucien | 3 |
| | persons | | 0 | "Rory" | | 1 | "Eva" | | 2 | "Ptolemy" | | 3 | "Moreau" | | 4 | "Lucien" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like a funeral director who’d wand" | | 1 | "looked like the thing she’d pretended not" | | 2 | "felt like to be seen by him" |
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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 | 1186 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 118 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 61 | | mean | 19.44 | | std | 18.29 | | cv | 0.941 | | sampleLengths | | 0 | 61 | | 1 | 18 | | 2 | 4 | | 3 | 45 | | 4 | 10 | | 5 | 4 | | 6 | 65 | | 7 | 17 | | 8 | 2 | | 9 | 16 | | 10 | 11 | | 11 | 23 | | 12 | 5 | | 13 | 31 | | 14 | 48 | | 15 | 3 | | 16 | 4 | | 17 | 13 | | 18 | 47 | | 19 | 6 | | 20 | 41 | | 21 | 7 | | 22 | 38 | | 23 | 5 | | 24 | 8 | | 25 | 16 | | 26 | 8 | | 27 | 5 | | 28 | 65 | | 29 | 3 | | 30 | 20 | | 31 | 46 | | 32 | 6 | | 33 | 22 | | 34 | 5 | | 35 | 2 | | 36 | 3 | | 37 | 49 | | 38 | 12 | | 39 | 32 | | 40 | 14 | | 41 | 4 | | 42 | 4 | | 43 | 33 | | 44 | 5 | | 45 | 13 | | 46 | 49 | | 47 | 9 | | 48 | 52 | | 49 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 89 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 158 | | matches | | 0 | "was holding" | | 1 | "was working" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 118 | | ratio | 0.068 | | matches | | 0 | "Not just the silence — though Ptolemy usually greeted her with a chirp and a figure-eight around her ankles — but the quality of the stillness." | | 1 | "His lips curved — just barely, just enough to show he’d heard her." | | 2 | "He watched her with those mismatched eyes — one amber, one black as coal dust." | | 3 | "The flat smelled of him — sandalwood and cigarette smoke and something metallic." | | 4 | "“And they have long memories, and longer reach.” His voice dropped, and something shifted in his expression — something that looked like the thing she’d pretended not to see the night she walked out of his flat in Soho." | | 5 | "He’d broken her heart, sure — but that had been her fault." | | 6 | "Not just wanted — seen." | | 7 | "He reached into his jacket and pulled out a card — cream-coloured, embossed with a single phone number." |
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| 99.60% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 865 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 35 | | adverbRatio | 0.04046242774566474 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.006936416184971098 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 118 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 118 | | mean | 10.05 | | std | 8.94 | | cv | 0.89 | | sampleLengths | | 0 | 25 | | 1 | 36 | | 2 | 11 | | 3 | 7 | | 4 | 4 | | 5 | 4 | | 6 | 4 | | 7 | 26 | | 8 | 11 | | 9 | 10 | | 10 | 4 | | 11 | 28 | | 12 | 25 | | 13 | 12 | | 14 | 17 | | 15 | 2 | | 16 | 3 | | 17 | 13 | | 18 | 11 | | 19 | 18 | | 20 | 5 | | 21 | 5 | | 22 | 8 | | 23 | 23 | | 24 | 15 | | 25 | 9 | | 26 | 14 | | 27 | 5 | | 28 | 5 | | 29 | 3 | | 30 | 4 | | 31 | 12 | | 32 | 1 | | 33 | 3 | | 34 | 20 | | 35 | 13 | | 36 | 3 | | 37 | 8 | | 38 | 6 | | 39 | 35 | | 40 | 4 | | 41 | 2 | | 42 | 4 | | 43 | 3 | | 44 | 6 | | 45 | 32 | | 46 | 5 | | 47 | 8 | | 48 | 16 | | 49 | 3 |
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| 52.82% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3728813559322034 | | totalSentences | 118 | | uniqueOpeners | 44 | |
| 43.29% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 77 | | matches | | | ratio | 0.013 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 44 | | totalSentences | 77 | | matches | | 0 | "She took the stairs to" | | 1 | "She shoved the key into" | | 2 | "He looked like a funeral" | | 3 | "he said, and the old" | | 4 | "He didn’t move." | | 5 | "His lips curved — just" | | 6 | "She laughed, a short, hollow" | | 7 | "He watched her with those" | | 8 | "It was darker now, the" | | 9 | "She wondered what that meant." | | 10 | "She wondered if she cared." | | 11 | "He said it like a" | | 12 | "She didn’t sit." | | 13 | "She crossed her arms and" | | 14 | "He always carried that scent" | | 15 | "He rose from the chair" | | 16 | "She’d learned to." | | 17 | "He stopped an arm’s length" | | 18 | "Her stomach dropped." | | 19 | "She kept her face still." |
| | ratio | 0.571 | |
| 37.92% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 77 | | matches | | 0 | "The rain had followed Rory" | | 1 | "She took the stairs to" | | 2 | "She shoved the key into" | | 3 | "The third turned with a" | | 4 | "The door swung open." | | 5 | "The flat was wrong." | | 6 | "The air was wrong." | | 7 | "The sort of stillness that" | | 8 | "Rory’s hand went to the" | | 9 | "Lucien Moreau sat in the" | | 10 | "The ivory handle of his" | | 11 | "He looked like a funeral" | | 12 | "he said, and the old" | | 13 | "He didn’t move." | | 14 | "His lips curved — just" | | 15 | "Rory stepped inside and shut" | | 16 | "She laughed, a short, hollow" | | 17 | "He watched her with those" | | 18 | "The left one had changed" | | 19 | "It was darker now, the" |
| | ratio | 0.844 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 41 | | tagDensity | 0.22 | | leniency | 0.439 | | rawRatio | 0.111 | | effectiveRatio | 0.049 | |