| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 0 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 81.77% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 823 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 39.25% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 823 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "surreal" | | 1 | "familiar" | | 2 | "clandestine" | | 3 | "eyebrow" | | 4 | "traced" | | 5 | "unspoken" | | 6 | "weight" | | 7 | "pulse" |
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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 | 45 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 45 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 75 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 819 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 3 | | wordCount | 455 | | uniqueNames | 2 | | maxNameDensity | 0.44 | | worstName | "You" | | maxWindowNameDensity | 1 | | worstWindowName | "You" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 32 | | 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 | 819 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 75 | | matches | (empty) | |
| 74.61% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 23 | | mean | 35.61 | | std | 14.64 | | cv | 0.411 | | sampleLengths | | 0 | 80 | | 1 | 17 | | 2 | 36 | | 3 | 24 | | 4 | 43 | | 5 | 43 | | 6 | 16 | | 7 | 62 | | 8 | 37 | | 9 | 33 | | 10 | 29 | | 11 | 34 | | 12 | 33 | | 13 | 26 | | 14 | 29 | | 15 | 54 | | 16 | 44 | | 17 | 16 | | 18 | 37 | | 19 | 43 | | 20 | 23 | | 21 | 27 | | 22 | 33 |
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| 89.67% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 45 | | matches | | 0 | "was meant" | | 1 | "were forgotten" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 83 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 75 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 81 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 0 | | adverbRatio | 0 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 75 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 75 | | mean | 10.92 | | std | 6.51 | | cv | 0.596 | | sampleLengths | | 0 | 26 | | 1 | 18 | | 2 | 14 | | 3 | 22 | | 4 | 14 | | 5 | 3 | | 6 | 14 | | 7 | 22 | | 8 | 9 | | 9 | 15 | | 10 | 18 | | 11 | 25 | | 12 | 5 | | 13 | 11 | | 14 | 12 | | 15 | 15 | | 16 | 3 | | 17 | 8 | | 18 | 5 | | 19 | 11 | | 20 | 18 | | 21 | 16 | | 22 | 17 | | 23 | 9 | | 24 | 16 | | 25 | 6 | | 26 | 6 | | 27 | 18 | | 28 | 7 | | 29 | 8 | | 30 | 12 | | 31 | 6 | | 32 | 11 | | 33 | 24 | | 34 | 3 | | 35 | 1 | | 36 | 6 | | 37 | 6 | | 38 | 6 | | 39 | 5 | | 40 | 8 | | 41 | 8 | | 42 | 2 | | 43 | 24 | | 44 | 11 | | 45 | 4 | | 46 | 3 | | 47 | 11 | | 48 | 19 | | 49 | 10 |
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| 50.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.36 | | totalSentences | 75 | | uniqueOpeners | 27 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 37 | | matches | (empty) | | ratio | 0 | |
| 14.59% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 37 | | matches | | 0 | "She hesitated, her hand hovering" | | 1 | "She pushed open the door," | | 2 | "She smiled, noticing the grey" | | 3 | "She slid into a booth," | | 4 | "She traced the grain with" | | 5 | "I didn't know you still" | | 6 | "She reached across the table," | | 7 | "You never deserved any of" | | 8 | "He shrugged, his grey eyes" | | 9 | "I never thought I'd see" | | 10 | "I really did." | | 11 | "It's become more than a" | | 12 | "She raised an eyebrow, surprised" | | 13 | "He grunted, his lips twisting" | | 14 | "It's the only way I" | | 15 | "She smiled, her bright eyes" | | 16 | "I've always been here for" | | 17 | "He looked at her, the" | | 18 | "I should've reached out sooner." |
| | ratio | 0.514 | |
| 68.11% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 29 | | totalSentences | 37 | | matches | | 0 | "The green neon light of" | | 1 | "Rory paused mid-stride as she" | | 2 | "She hesitated, her hand hovering" | | 3 | "She pushed open the door," | | 4 | "An old friend stood there," | | 5 | "She smiled, noticing the grey" | | 6 | "The man before her now" | | 7 | "She slid into a booth," | | 8 | "A ring, silver and worn," | | 9 | "She traced the grain with" | | 10 | "A thousand memories threaded their" | | 11 | "The drinks were forgotten as" | | 12 | "Malphora was always my personal" | | 13 | "I didn't know you still" | | 14 | "She reached across the table," | | 15 | "You never deserved any of" | | 16 | "He shrugged, his grey eyes" | | 17 | "I never thought I'd see" | | 18 | "I really did." | | 19 | "The pause stretched, fraught with" |
| | ratio | 0.784 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 37 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 18 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |