| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 2 | | adverbTags | | 0 | "Silas asked suddenly [suddenly]" | | 1 | "Silas said softly [softly]" |
| | dialogueSentences | 48 | | tagDensity | 0.208 | | leniency | 0.417 | | rawRatio | 0.2 | | effectiveRatio | 0.083 | |
| 68.94% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 966 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "sharply" | | 1 | "suddenly" | | 2 | "slowly" | | 3 | "softly" |
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| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 966 | | totalAiIsms | 26 | | found | | | highlights | | 0 | "familiar" | | 1 | "weight" | | 2 | "scanned" | | 3 | "wavered" | | 4 | "unspoken" | | 5 | "eyebrow" | | 6 | "silence" | | 7 | "sanctuary" | | 8 | "tracing" | | 9 | "reminder" | | 10 | "stark" | | 11 | "tension" | | 12 | "warmth" | | 13 | "sense of" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "flicker of emotion" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 72 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 72 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 110 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 962 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 52 | | wordCount | 728 | | uniqueNames | 6 | | maxNameDensity | 3.3 | | worstName | "Silas" | | maxWindowNameDensity | 6 | | worstWindowName | "Silas" | | discoveredNames | | Carter | 1 | | Raven | 2 | | Nest | 2 | | Silas | 24 | | Blackwood | 1 | | Aurora | 22 |
| | persons | | 0 | "Carter" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Silas" | | 4 | "Blackwood" | | 5 | "Aurora" |
| | places | (empty) | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed more pronounced" |
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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 | 962 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 110 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 18.15 | | std | 13.97 | | cv | 0.769 | | sampleLengths | | 0 | 4 | | 1 | 56 | | 2 | 11 | | 3 | 57 | | 4 | 17 | | 5 | 10 | | 6 | 26 | | 7 | 7 | | 8 | 5 | | 9 | 24 | | 10 | 12 | | 11 | 24 | | 12 | 13 | | 13 | 13 | | 14 | 9 | | 15 | 6 | | 16 | 7 | | 17 | 28 | | 18 | 9 | | 19 | 58 | | 20 | 8 | | 21 | 15 | | 22 | 16 | | 23 | 17 | | 24 | 20 | | 25 | 17 | | 26 | 23 | | 27 | 7 | | 28 | 28 | | 29 | 9 | | 30 | 18 | | 31 | 10 | | 32 | 37 | | 33 | 11 | | 34 | 9 | | 35 | 12 | | 36 | 9 | | 37 | 7 | | 38 | 9 | | 39 | 7 | | 40 | 16 | | 41 | 12 | | 42 | 10 | | 43 | 15 | | 44 | 14 | | 45 | 33 | | 46 | 15 | | 47 | 12 | | 48 | 55 | | 49 | 52 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 72 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 129 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 110 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 731 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 23 | | adverbRatio | 0.03146374829001368 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.013679890560875513 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 110 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 110 | | mean | 8.75 | | std | 5.43 | | cv | 0.621 | | sampleLengths | | 0 | 4 | | 1 | 8 | | 2 | 13 | | 3 | 22 | | 4 | 13 | | 5 | 11 | | 6 | 13 | | 7 | 11 | | 8 | 19 | | 9 | 14 | | 10 | 12 | | 11 | 5 | | 12 | 8 | | 13 | 2 | | 14 | 15 | | 15 | 11 | | 16 | 7 | | 17 | 4 | | 18 | 1 | | 19 | 12 | | 20 | 12 | | 21 | 5 | | 22 | 7 | | 23 | 14 | | 24 | 10 | | 25 | 4 | | 26 | 9 | | 27 | 9 | | 28 | 4 | | 29 | 6 | | 30 | 3 | | 31 | 3 | | 32 | 3 | | 33 | 6 | | 34 | 1 | | 35 | 21 | | 36 | 4 | | 37 | 3 | | 38 | 6 | | 39 | 3 | | 40 | 14 | | 41 | 17 | | 42 | 17 | | 43 | 10 | | 44 | 8 | | 45 | 2 | | 46 | 13 | | 47 | 10 | | 48 | 6 | | 49 | 11 |
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| 55.76% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.34545454545454546 | | totalSentences | 110 | | uniqueOpeners | 38 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 70 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 70 | | matches | | 0 | "She scanned the dimly lit" | | 1 | "Her voice wavered, betraying a" | | 2 | "His hazel eyes, still sharp" | | 3 | "he said, a hint of" | | 4 | "She nodded, swallowing the lump" | | 5 | "They stood there for a" | | 6 | "They slid into the booth," | | 7 | "She shrugged, a wry smile" | | 8 | "They drank in silence, the" | | 9 | "She glanced at the small" | | 10 | "She nodded, the memories of" | | 11 | "They lapsed into silence again," | | 12 | "She squeezed his hand, the" | | 13 | "They sat there, hands clasped," | | 14 | "She wasn't alone." | | 15 | "She had an old friend" | | 16 | "They laughed, reminisced, and shared" |
| | ratio | 0.243 | |
| 2.86% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 70 | | matches | | 0 | "Aurora Carter turned sharply, nearly" | | 1 | "The voice was familiar, yet" | | 2 | "She scanned the dimly lit" | | 3 | "There, by the corner booth," | | 4 | "Her voice wavered, betraying a" | | 5 | "Silas Blackwood, the once formidable" | | 6 | "His hazel eyes, still sharp" | | 7 | "The grey streaks in his" | | 8 | "he said, a hint of" | | 9 | "She nodded, swallowing the lump" | | 10 | "They stood there for a" | | 11 | "The weight of unspoken years" | | 12 | "Silas gestured to the booth" | | 13 | "Aurora hesitated, then nodded." | | 14 | "They slid into the booth," | | 15 | "Silas signaled to the bartender," | | 16 | "Silas began, leaning back" | | 17 | "Aurora took a sip of" | | 18 | "Silas raised an eyebrow." | | 19 | "She shrugged, a wry smile" |
| | ratio | 0.914 | |
| 71.43% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 70 | | matches | | 0 | "Yet, he carried himself with" |
| | ratio | 0.014 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 2 | | matches | | 0 | "Yet, he carried himself with the same quiet authority that had always defined him." | | 1 | "Aurora glanced around the bar, taking in the old maps and black-and-white photographs that adorned the walls." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 2 | | matches | | 0 | "he said, a hint of a smile playing on his lips" | | 1 | "Aurora interrupted, her voice firm" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "Aurora interrupted (interrupt)" | | 1 | "Aurora admitted (admit)" |
| | dialogueSentences | 48 | | tagDensity | 0.146 | | leniency | 0.292 | | rawRatio | 0.286 | | effectiveRatio | 0.083 | |