| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 86 | | tagDensity | 0.093 | | leniency | 0.186 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2149 | | 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) | |
| 79.06% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2149 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "flicked" | | 1 | "familiar" | | 2 | "silence" | | 3 | "grave" | | 4 | "pulse" | | 5 | "weight" | | 6 | "electric" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 154 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 154 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 232 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2149 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 65.64% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 62 | | wordCount | 1541 | | uniqueNames | 6 | | maxNameDensity | 1.69 | | worstName | "Lucien" | | maxWindowNameDensity | 3 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 26 | | Moreau | 1 | | Eva | 6 | | Rory | 21 | | Silence | 1 | | Ptolemy | 7 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Eva" | | 3 | "Rory" | | 4 | "Silence" | | 5 | "Ptolemy" |
| | places | (empty) | | globalScore | 0.656 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 114 | | glossingSentenceCount | 2 | | matches | | 0 | "not quite a smile" | | 1 | "felt like being touched at the throat" |
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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 | 2149 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 232 | | matches | | 0 | "hated that her" | | 1 | "made that sound" | | 2 | "hated that she" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 136 | | mean | 15.8 | | std | 15.89 | | cv | 1.005 | | sampleLengths | | 0 | 29 | | 1 | 12 | | 2 | 55 | | 3 | 21 | | 4 | 12 | | 5 | 8 | | 6 | 46 | | 7 | 16 | | 8 | 5 | | 9 | 2 | | 10 | 1 | | 11 | 23 | | 12 | 5 | | 13 | 3 | | 14 | 7 | | 15 | 31 | | 16 | 61 | | 17 | 7 | | 18 | 3 | | 19 | 6 | | 20 | 23 | | 21 | 47 | | 22 | 4 | | 23 | 9 | | 24 | 28 | | 25 | 8 | | 26 | 32 | | 27 | 27 | | 28 | 4 | | 29 | 6 | | 30 | 4 | | 31 | 3 | | 32 | 3 | | 33 | 36 | | 34 | 2 | | 35 | 3 | | 36 | 3 | | 37 | 12 | | 38 | 61 | | 39 | 30 | | 40 | 4 | | 41 | 5 | | 42 | 5 | | 43 | 17 | | 44 | 6 | | 45 | 68 | | 46 | 3 | | 47 | 4 | | 48 | 9 | | 49 | 39 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 154 | | matches | | 0 | "being touched" | | 1 | "been opened" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 260 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 232 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1544 | | adjectiveStacks | 1 | | stackExamples | | 0 | "familiar, sharp little cut" |
| | adverbCount | 57 | | adverbRatio | 0.036917098445595854 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.005829015544041451 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 232 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 232 | | mean | 9.26 | | std | 7.3 | | cv | 0.788 | | sampleLengths | | 0 | 29 | | 1 | 12 | | 2 | 39 | | 3 | 16 | | 4 | 21 | | 5 | 5 | | 6 | 7 | | 7 | 8 | | 8 | 7 | | 9 | 19 | | 10 | 11 | | 11 | 6 | | 12 | 2 | | 13 | 1 | | 14 | 5 | | 15 | 11 | | 16 | 5 | | 17 | 2 | | 18 | 1 | | 19 | 11 | | 20 | 12 | | 21 | 5 | | 22 | 3 | | 23 | 7 | | 24 | 28 | | 25 | 3 | | 26 | 14 | | 27 | 7 | | 28 | 9 | | 29 | 15 | | 30 | 16 | | 31 | 7 | | 32 | 3 | | 33 | 6 | | 34 | 17 | | 35 | 6 | | 36 | 17 | | 37 | 8 | | 38 | 14 | | 39 | 8 | | 40 | 4 | | 41 | 9 | | 42 | 4 | | 43 | 9 | | 44 | 15 | | 45 | 8 | | 46 | 9 | | 47 | 8 | | 48 | 15 | | 49 | 16 |
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| 46.12% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.2974137931034483 | | totalSentences | 232 | | uniqueOpeners | 69 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 142 | | matches | | 0 | "Just for a second." | | 1 | "Then he looked away." | | 2 | "Too close to the old" | | 3 | "Somewhere in the walls, pipes" | | 4 | "Of course he did." |
| | ratio | 0.035 | |
| 84.79% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 48 | | totalSentences | 142 | | matches | | 0 | "His gaze skimmed her face," | | 1 | "She kept her grip on" | | 2 | "His mouth twitched, not quite" | | 3 | "He wore a charcoal suit" | | 4 | "His amber eye held hers." | | 5 | "He crossed the threshold without" | | 6 | "He had a shallow cut" | | 7 | "It suited him in the" | | 8 | "She folded her arms." | | 9 | "He lifted one shoulder." | | 10 | "His gaze held on hers" | | 11 | "She hated that her body" | | 12 | "She leaned her shoulder against" | | 13 | "He had the kind of" | | 14 | "She let out a short" | | 15 | "He stepped past her into" | | 16 | "He placed his cane against" | | 17 | "He never arrived empty-handed." | | 18 | "He looked back at her." | | 19 | "She barked out a laugh" |
| | ratio | 0.338 | |
| 12.82% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 127 | | totalSentences | 142 | | matches | | 0 | "The first deadbolt caught, then" | | 1 | "Rory’s fingers tightened on the" | | 2 | "His gaze skimmed her face," | | 3 | "Ptolemy sprang from the back" | | 4 | "Lucien’s voice came smooth and" | | 5 | "Rory did not step back." | | 6 | "She kept her grip on" | | 7 | "His mouth twitched, not quite" | | 8 | "He wore a charcoal suit" | | 9 | "The collar of his white" | | 10 | "His amber eye held hers." | | 11 | "The black one looked deeper," | | 12 | "Ptolemy hissed again and slapped" | | 13 | "Lucien glanced down as if" | | 14 | "Rory pushed the door wider," | | 15 | "He crossed the threshold without" | | 16 | "The flat seemed to shrink" | | 17 | "Eva’s papers rustled in a" | | 18 | "The curry house downstairs bled" | | 19 | "Lucien drew in a breath," |
| | ratio | 0.894 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 142 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 64 | | technicalSentenceCount | 2 | | matches | | 0 | "He wore a charcoal suit that fit him like it had been cut from the shadow of a cathedral." | | 1 | "The flat filled with the sharp, electric awareness that arrived before violence." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 3 | | matches | | 0 | "Lucien’s voice came, every syllable arranged like silverware" | | 1 | "he said, voice lower now," | | 2 | "he murmured, blade sliding fully free," |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 86 | | tagDensity | 0.07 | | leniency | 0.14 | | rawRatio | 0.167 | | effectiveRatio | 0.023 | |