| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 148 | | tagDensity | 0.149 | | leniency | 0.297 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2221 | | 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) | |
| 72.99% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2221 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "traced" | | 1 | "silence" | | 2 | "desire" | | 3 | "measured" | | 4 | "familiar" | | 5 | "eyebrow" | | 6 | "charm" | | 7 | "warmth" | | 8 | "stomach" |
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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 | 148 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 148 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 274 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 50 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2221 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 36 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 1328 | | uniqueNames | 4 | | maxNameDensity | 1.13 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Lucien | 9 | | Moreau | 1 | | Rory | 15 | | Silas | 1 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Rory" | | 3 | "Silas" |
| | places | (empty) | | globalScore | 0.935 | | windowScore | 0.833 | |
| 94.44% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 90 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like he belonged in a different bu" | | 1 | "felt like the old ease" |
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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 | 2221 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 274 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 170 | | mean | 13.06 | | std | 14.27 | | cv | 1.092 | | sampleLengths | | 0 | 15 | | 1 | 19 | | 2 | 5 | | 3 | 29 | | 4 | 5 | | 5 | 5 | | 6 | 64 | | 7 | 12 | | 8 | 1 | | 9 | 49 | | 10 | 29 | | 11 | 13 | | 12 | 10 | | 13 | 14 | | 14 | 6 | | 15 | 3 | | 16 | 15 | | 17 | 8 | | 18 | 4 | | 19 | 1 | | 20 | 29 | | 21 | 77 | | 22 | 4 | | 23 | 9 | | 24 | 3 | | 25 | 1 | | 26 | 18 | | 27 | 25 | | 28 | 3 | | 29 | 7 | | 30 | 5 | | 31 | 3 | | 32 | 51 | | 33 | 11 | | 34 | 43 | | 35 | 7 | | 36 | 6 | | 37 | 2 | | 38 | 5 | | 39 | 19 | | 40 | 15 | | 41 | 1 | | 42 | 16 | | 43 | 2 | | 44 | 2 | | 45 | 1 | | 46 | 31 | | 47 | 2 | | 48 | 24 | | 49 | 21 |
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| 98.15% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 148 | | matches | | 0 | "was slicked" | | 1 | "was arranged" | | 2 | "was arranged" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 235 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 274 | | ratio | 0.004 | | matches | | 0 | "The tea was too strong; she’d left the bag in too long." |
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| 98.13% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1329 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 56 | | adverbRatio | 0.042136945071482315 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.006772009029345372 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 274 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 274 | | mean | 8.11 | | std | 6.46 | | cv | 0.797 | | sampleLengths | | 0 | 15 | | 1 | 8 | | 2 | 11 | | 3 | 5 | | 4 | 16 | | 5 | 4 | | 6 | 9 | | 7 | 5 | | 8 | 5 | | 9 | 10 | | 10 | 26 | | 11 | 13 | | 12 | 15 | | 13 | 8 | | 14 | 4 | | 15 | 1 | | 16 | 6 | | 17 | 16 | | 18 | 16 | | 19 | 11 | | 20 | 7 | | 21 | 5 | | 22 | 3 | | 23 | 14 | | 24 | 13 | | 25 | 6 | | 26 | 4 | | 27 | 3 | | 28 | 11 | | 29 | 6 | | 30 | 3 | | 31 | 15 | | 32 | 8 | | 33 | 4 | | 34 | 1 | | 35 | 5 | | 36 | 24 | | 37 | 3 | | 38 | 21 | | 39 | 13 | | 40 | 19 | | 41 | 21 | | 42 | 4 | | 43 | 5 | | 44 | 4 | | 45 | 3 | | 46 | 1 | | 47 | 3 | | 48 | 15 | | 49 | 19 |
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| 45.62% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.22992700729927007 | | totalSentences | 274 | | uniqueOpeners | 63 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 8 | | totalSentences | 130 | | matches | | 0 | "Then every sensible thought came" | | 1 | "Instead she said," | | 2 | "Then again, Lucien could make" | | 3 | "Then he dipped his head." | | 4 | "Of course it was." | | 5 | "Too much like a line" | | 6 | "Just the difficult act of" | | 7 | "More than she wanted it" |
| | ratio | 0.062 | |
| 47.69% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 56 | | totalSentences | 130 | | matches | | 0 | "His gaze traveled over her" | | 1 | "She’d been halfway through taking" | | 2 | "Her hair was still damp" | | 3 | "He accepted the answer without" | | 4 | "His platinum hair was slicked" | | 5 | "It would have been simple." | | 6 | "He drew a breath" | | 7 | "She almost laughed." | | 8 | "It came out as a" | | 9 | "He looked tired." | | 10 | "His posture remained exact, his" | | 11 | "She had believed him." | | 12 | "His jaw tightened." | | 13 | "She’d said it in the" | | 14 | "She’d meant it as a" | | 15 | "She held to them." | | 16 | "He shifted his grip on" | | 17 | "It was the first thing" | | 18 | "She studied him, searching for" | | 19 | "She hated that it still" |
| | ratio | 0.431 | |
| 44.62% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 108 | | totalSentences | 130 | | matches | | 0 | "The door opened onto Lucien" | | 1 | "His gaze traveled over her" | | 2 | "The same unnerving mismatch she" | | 3 | "Rory kept one hand on" | | 4 | "She’d been halfway through taking" | | 5 | "Her hair was still damp" | | 6 | "Lucien glanced at the hand" | | 7 | "He accepted the answer without" | | 8 | "Rain slid from the brim" | | 9 | "His platinum hair was slicked" | | 10 | "The ivory handle of his" | | 11 | "Rory ought to have shut" | | 12 | "It would have been simple." | | 13 | "A clean click." | | 14 | "He drew a breath" | | 15 | "She almost laughed." | | 16 | "It came out as a" | | 17 | "The word sat between them." | | 18 | "Lucien never wasted words when" | | 19 | "He looked tired." |
| | ratio | 0.831 | |
| 38.46% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 130 | | matches | | 0 | "Because she’d wanted to." |
| | ratio | 0.008 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 1 | | matches | | 0 | "His gaze traveled over her face, stopping briefly at her mouth before returning to her eyes." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 148 | | tagDensity | 0.088 | | leniency | 0.176 | | rawRatio | 0 | | effectiveRatio | 0 | |