| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 1 | | adverbTags | | | dialogueSentences | 58 | | tagDensity | 0.19 | | leniency | 0.379 | | rawRatio | 0.091 | | effectiveRatio | 0.034 | |
| 95.87% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1210 | | 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) | |
| 25.62% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1210 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "flickered" | | 1 | "pulse" | | 2 | "jaw clenched" | | 3 | "weight" | | 4 | "lurched" | | 5 | "pulsed" | | 6 | "silence" | | 7 | "stomach" | | 8 | "echoing" | | 9 | "traced" | | 10 | "pounding" | | 11 | "vibrated" | | 12 | "could feel" | | 13 | "warmth" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "jaw/fists clenched" | | count | 2 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "jaw clenched" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 130 | | matches | | |
| 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 | 177 | | 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 | 1203 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 880 | | uniqueNames | 10 | | maxNameDensity | 1.02 | | worstName | "Lucien" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Moreau | 1 | | Marseille | 1 | | Ptolemy | 6 | | Eva | 2 | | Brick | 2 | | Lane | 2 | | Lucien | 9 | | Aurora | 6 | | Blond | 1 | | Silas | 2 |
| | persons | | 0 | "Moreau" | | 1 | "Ptolemy" | | 2 | "Eva" | | 3 | "Lucien" | | 4 | "Aurora" | | 5 | "Silas" |
| | places | | 0 | "Marseille" | | 1 | "Brick" | | 2 | "Lane" |
| | globalScore | 0.989 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1203 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 177 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 68 | | mean | 17.69 | | std | 9.32 | | cv | 0.527 | | sampleLengths | | 0 | 27 | | 1 | 37 | | 2 | 8 | | 3 | 20 | | 4 | 11 | | 5 | 15 | | 6 | 15 | | 7 | 15 | | 8 | 5 | | 9 | 20 | | 10 | 43 | | 11 | 18 | | 12 | 13 | | 13 | 14 | | 14 | 22 | | 15 | 2 | | 16 | 27 | | 17 | 5 | | 18 | 31 | | 19 | 34 | | 20 | 22 | | 21 | 18 | | 22 | 8 | | 23 | 5 | | 24 | 12 | | 25 | 21 | | 26 | 12 | | 27 | 7 | | 28 | 12 | | 29 | 23 | | 30 | 28 | | 31 | 6 | | 32 | 4 | | 33 | 22 | | 34 | 28 | | 35 | 19 | | 36 | 25 | | 37 | 28 | | 38 | 11 | | 39 | 16 | | 40 | 16 | | 41 | 16 | | 42 | 18 | | 43 | 14 | | 44 | 28 | | 45 | 13 | | 46 | 19 | | 47 | 33 | | 48 | 19 | | 49 | 8 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 130 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 185 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 177 | | ratio | 0.011 | | matches | | 0 | "Hesitation flickered across his face—an expression she’d seen only once before, in Marseille." | | 1 | "The room smelled of turmeric and old paper—Eva’s flat on Brick Lane." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 886 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.029345372460496615 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.0056433408577878106 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 177 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 177 | | mean | 6.8 | | std | 4.56 | | cv | 0.671 | | sampleLengths | | 0 | 7 | | 1 | 6 | | 2 | 14 | | 3 | 5 | | 4 | 15 | | 5 | 4 | | 6 | 13 | | 7 | 5 | | 8 | 3 | | 9 | 8 | | 10 | 12 | | 11 | 9 | | 12 | 2 | | 13 | 5 | | 14 | 2 | | 15 | 2 | | 16 | 6 | | 17 | 15 | | 18 | 11 | | 19 | 4 | | 20 | 3 | | 21 | 2 | | 22 | 4 | | 23 | 2 | | 24 | 2 | | 25 | 11 | | 26 | 1 | | 27 | 6 | | 28 | 2 | | 29 | 12 | | 30 | 6 | | 31 | 13 | | 32 | 4 | | 33 | 9 | | 34 | 9 | | 35 | 5 | | 36 | 8 | | 37 | 5 | | 38 | 9 | | 39 | 3 | | 40 | 4 | | 41 | 4 | | 42 | 9 | | 43 | 2 | | 44 | 2 | | 45 | 6 | | 46 | 10 | | 47 | 4 | | 48 | 7 | | 49 | 2 |
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| 48.78% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.3163841807909605 | | totalSentences | 177 | | uniqueOpeners | 56 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 112 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 72 | | totalSentences | 112 | | matches | | 0 | "She slid the chain aside," | | 1 | "He stood in charcoal suit," | | 2 | "He cleared his throat" | | 3 | "She stepped back, letting the" | | 4 | "Her voice stayed even, but" | | 5 | "He set the cane upright," | | 6 | "Her jaw clenched." | | 7 | "He lifted one brow." | | 8 | "She’d come here this afternoon" | | 9 | "She hadn’t expected Lucien." | | 10 | "He shifted weight from one" | | 11 | "Her lips curved with bitterness." | | 12 | "He looked away" | | 13 | "She’d waited on replies." | | 14 | "She bent to stroke his" | | 15 | "He ducked under the doorframe," | | 16 | "She remembered hanging his overcoat" | | 17 | "He took a timid step" | | 18 | "She kicked aside a volume" | | 19 | "He lowered himself onto the" |
| | ratio | 0.643 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 104 | | totalSentences | 112 | | matches | | 0 | "Aurora’s fingers froze on the" | | 1 | "The peephole offered nothing but" | | 2 | "She slid the chain aside," | | 3 | "Lucien Moreau filled the frame." | | 4 | "He stood in charcoal suit," | | 5 | "Amber eye met blue." | | 6 | "Hesitation flickered across his face—an" | | 7 | "He cleared his throat" | | 8 | "The word snagged." | | 9 | "She stepped back, letting the" | | 10 | "Lucien’s lips twitched when the" | | 11 | "Aurora locked onto his cane." | | 12 | "Nothing but silent menace and" | | 13 | "Her voice stayed even, but" | | 14 | "He set the cane upright," | | 15 | "Her jaw clenched." | | 16 | "He lifted one brow." | | 17 | "The contrast pinched his face" | | 18 | "The word landed like a" | | 19 | "The room smelled of turmeric" |
| | ratio | 0.929 | |
| 89.29% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 112 | | matches | | 0 | "As if afraid to break" | | 1 | "If only she’d insisted." |
| | ratio | 0.018 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 79.55% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 1 | | matches | | 0 | "Her voice stayed, but her pulse roared inside her ears" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |