| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 36 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 79.08% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 956 | | totalAiIsmAdverbs | 4 | | 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) | |
| 26.78% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 956 | | totalAiIsms | 14 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | word | "down her spine" | | count | 1 |
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| | highlights | | 0 | "pulse" | | 1 | "silence" | | 2 | "weight" | | 3 | "flicked" | | 4 | "unreadable" | | 5 | "eyebrow" | | 6 | "charged" | | 7 | "stomach" | | 8 | "racing" | | 9 | "unwavering" | | 10 | "down her spine" |
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| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
| | 1 | | label | "weight of words/silence" | | count | 1 |
| | 2 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "blood ran cold" | | 1 | "The weight of his words" | | 2 | "sent a shiver down" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 76 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 76 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 103 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 949 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 733 | | uniqueNames | 6 | | maxNameDensity | 2.18 | | worstName | "Lucien" | | maxWindowNameDensity | 4 | | worstWindowName | "Lucien" | | discoveredNames | | Moreau | 2 | | Rory | 13 | | London | 1 | | Lucien | 16 | | Evan | 1 | | Eva | 2 |
| | persons | | 0 | "Moreau" | | 1 | "Rory" | | 2 | "Lucien" | | 3 | "Evan" | | 4 | "Eva" |
| | places | | | globalScore | 0.409 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 949 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 103 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 19.77 | | std | 14.95 | | cv | 0.756 | | sampleLengths | | 0 | 6 | | 1 | 61 | | 2 | 59 | | 3 | 10 | | 4 | 9 | | 5 | 56 | | 6 | 12 | | 7 | 9 | | 8 | 18 | | 9 | 42 | | 10 | 7 | | 11 | 11 | | 12 | 61 | | 13 | 26 | | 14 | 12 | | 15 | 11 | | 16 | 37 | | 17 | 16 | | 18 | 18 | | 19 | 11 | | 20 | 11 | | 21 | 1 | | 22 | 11 | | 23 | 36 | | 24 | 24 | | 25 | 27 | | 26 | 16 | | 27 | 11 | | 28 | 8 | | 29 | 25 | | 30 | 27 | | 31 | 16 | | 32 | 25 | | 33 | 8 | | 34 | 18 | | 35 | 19 | | 36 | 5 | | 37 | 19 | | 38 | 37 | | 39 | 18 | | 40 | 12 | | 41 | 21 | | 42 | 8 | | 43 | 18 | | 44 | 9 | | 45 | 3 | | 46 | 15 | | 47 | 9 |
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| 91.41% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 76 | | matches | | 0 | "was slicked" | | 1 | "was hidden" | | 2 | "were pinned" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 139 | | matches | (empty) | |
| 4.16% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 103 | | ratio | 0.049 | | matches | | 0 | "Something dark and expensive—bergamot, leather, a hint of smoke." | | 1 | "But the way he looked at her—like she was something precious he’d lost—rooted her to the spot." | | 2 | "The flat was exactly as he remembered it—cluttered, lived-in, the air thick with the scent of old books and the faint metallic tang of magic." | | 3 | "The sketch was crude—a symbol, jagged and unfamiliar, inked in what looked like blood." | | 4 | "The way he said it—like he had all the time in the world—sent a shiver down her spine." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 298 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 11 | | adverbRatio | 0.03691275167785235 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.003355704697986577 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 103 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 103 | | mean | 9.21 | | std | 6.84 | | cv | 0.742 | | sampleLengths | | 0 | 6 | | 1 | 20 | | 2 | 30 | | 3 | 9 | | 4 | 2 | | 5 | 30 | | 6 | 10 | | 7 | 19 | | 8 | 10 | | 9 | 6 | | 10 | 3 | | 11 | 4 | | 12 | 14 | | 13 | 31 | | 14 | 7 | | 15 | 9 | | 16 | 3 | | 17 | 5 | | 18 | 4 | | 19 | 5 | | 20 | 13 | | 21 | 16 | | 22 | 5 | | 23 | 4 | | 24 | 17 | | 25 | 4 | | 26 | 3 | | 27 | 11 | | 28 | 25 | | 29 | 18 | | 30 | 18 | | 31 | 22 | | 32 | 4 | | 33 | 5 | | 34 | 7 | | 35 | 5 | | 36 | 6 | | 37 | 8 | | 38 | 29 | | 39 | 15 | | 40 | 1 | | 41 | 9 | | 42 | 9 | | 43 | 3 | | 44 | 8 | | 45 | 5 | | 46 | 6 | | 47 | 1 | | 48 | 3 | | 49 | 8 |
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| 67.31% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.42718446601941745 | | totalSentences | 103 | | uniqueOpeners | 44 | |
| 47.62% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 70 | | matches | | 0 | "Instead, she met his gaze" |
| | ratio | 0.014 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 70 | | matches | | 0 | "His platinum hair was slicked" | | 1 | "He leaned on his ivory-handled" | | 2 | "he said, voice smooth as" | | 3 | "She hadn’t seen him since" | | 4 | "His lips quirked, just slightly." | | 5 | "She should slam the door." | | 6 | "She should walk away." | | 7 | "His voice was dry" | | 8 | "She didn’t need to ask" | | 9 | "His eyes flashed." | | 10 | "She stepped closer, close enough" | | 11 | "He reached into his jacket" | | 12 | "She took the paper, unfolding" | | 13 | "Her stomach twisted." | | 14 | "She’d seen enough of Eva’s" | | 15 | "She looked up at him," | | 16 | "His gaze locked onto hers," | | 17 | "She’d spent the last three" |
| | ratio | 0.257 | |
| 60.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 70 | | matches | | 0 | "The deadbolt clicked like a" | | 1 | "Rory stood in the doorway," | | 2 | "The scent of curry from" | | 3 | "Something dark and expensive—bergamot, leather," | | 4 | "His platinum hair was slicked" | | 5 | "The black of his right" | | 6 | "He leaned on his ivory-handled" | | 7 | "he said, voice smooth as" | | 8 | "Rory’s pulse hammered in her" | | 9 | "A beat of silence." | | 10 | "The weight of three years" | | 11 | "She hadn’t seen him since" | | 12 | "Lucien’s gaze flicked over her" | | 13 | "Rory didn’t step aside" | | 14 | "His lips quirked, just slightly." | | 15 | "The words settled between them," | | 16 | "She should slam the door." | | 17 | "She should walk away." | | 18 | "Rory exhaled through her nose," | | 19 | "The flat was exactly as" |
| | ratio | 0.8 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 70 | | matches | | 0 | "If she’d let him kiss" | | 1 | "If she’d let herself fall." | | 2 | "Because Lucien Moreau didn’t do" |
| | ratio | 0.043 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 1 | | matches | | 0 | "She’d spent the last three years trying to outrun her past, trying to build something normal." |
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| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 1 | | matches | | 0 | "he said, voice smooth as aged whisky" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 36 | | tagDensity | 0.056 | | leniency | 0.111 | | rawRatio | 0 | | effectiveRatio | 0 | |