| 62.07% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 2 | | adverbTags | | 0 | "he said finally [finally]" | | 1 | "he asked quietly [quietly]" |
| | dialogueSentences | 29 | | tagDensity | 0.276 | | leniency | 0.552 | | rawRatio | 0.25 | | effectiveRatio | 0.138 | |
| 84.85% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 660 | | totalAiIsmAdverbs | 2 | | 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) | |
| 31.82% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 660 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "clandestine" | | 1 | "familiar" | | 2 | "scanning" | | 3 | "silence" | | 4 | "could feel" | | 5 | "weight" | | 6 | "flickered" |
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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 | 57 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 57 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 78 | | 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 | 652 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 531 | | uniqueNames | 4 | | maxNameDensity | 1.32 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Rory" | | 3 | "Evan" |
| | places | (empty) | | globalScore | 0.841 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 38 | | 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 | 652 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 78 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 15.9 | | std | 15.26 | | cv | 0.96 | | sampleLengths | | 0 | 76 | | 1 | 52 | | 2 | 8 | | 3 | 1 | | 4 | 53 | | 5 | 8 | | 6 | 10 | | 7 | 28 | | 8 | 1 | | 9 | 5 | | 10 | 32 | | 11 | 16 | | 12 | 10 | | 13 | 16 | | 14 | 24 | | 15 | 2 | | 16 | 9 | | 17 | 20 | | 18 | 5 | | 19 | 6 | | 20 | 13 | | 21 | 4 | | 22 | 13 | | 23 | 18 | | 24 | 17 | | 25 | 7 | | 26 | 5 | | 27 | 13 | | 28 | 8 | | 29 | 17 | | 30 | 10 | | 31 | 9 | | 32 | 3 | | 33 | 7 | | 34 | 14 | | 35 | 18 | | 36 | 4 | | 37 | 31 | | 38 | 4 | | 39 | 28 | | 40 | 27 |
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| 99.11% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 57 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 99 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 78 | | ratio | 0.051 | | matches | | 0 | "Silas had stepped out to \"run errands\"—code for whatever clandestine business he still dabbled in—and left her to mind the place." | | 1 | "But the man himself was different—older, harder, his once-boyish features sharpened by time." | | 2 | "His eyes—still that unsettling shade of green—widened." | | 3 | "She studied him—the new lines around his eyes, the way his knuckles were scarred now." |
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| 88.34% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 538 | | adjectiveStacks | 1 | | stackExamples | | 0 | "different—older, harder, his" |
| | adverbCount | 25 | | adverbRatio | 0.046468401486988845 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.011152416356877323 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 78 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 78 | | mean | 8.36 | | std | 5.71 | | cv | 0.683 | | sampleLengths | | 0 | 23 | | 1 | 16 | | 2 | 21 | | 3 | 16 | | 4 | 20 | | 5 | 19 | | 6 | 13 | | 7 | 8 | | 8 | 1 | | 9 | 5 | | 10 | 19 | | 11 | 10 | | 12 | 19 | | 13 | 8 | | 14 | 10 | | 15 | 15 | | 16 | 6 | | 17 | 7 | | 18 | 1 | | 19 | 4 | | 20 | 1 | | 21 | 4 | | 22 | 9 | | 23 | 15 | | 24 | 4 | | 25 | 16 | | 26 | 7 | | 27 | 3 | | 28 | 3 | | 29 | 13 | | 30 | 10 | | 31 | 14 | | 32 | 2 | | 33 | 7 | | 34 | 2 | | 35 | 9 | | 36 | 11 | | 37 | 5 | | 38 | 4 | | 39 | 2 | | 40 | 13 | | 41 | 4 | | 42 | 8 | | 43 | 5 | | 44 | 15 | | 45 | 3 | | 46 | 12 | | 47 | 5 | | 48 | 7 | | 49 | 3 |
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| 67.09% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.41025641025641024 | | totalSentences | 78 | | uniqueOpeners | 32 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 54 | | matches | | 0 | "Only then did he look" | | 1 | "Instead, she just exhaled." | | 2 | "Then, slowly, she tore it" |
| | ratio | 0.056 | |
| 20.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 54 | | matches | | 0 | "She didn’t notice him at" | | 1 | "He hadn’t seen her yet." | | 2 | "He was too busy scanning" | | 3 | "She could still read him," | | 4 | "She exhaled, slow and deliberate," | | 5 | "His voice was deeper than" | | 6 | "She reached for the bottle" | | 7 | "His eyes—still that unsettling shade" | | 8 | "She folded her arms." | | 9 | "He let out a low" | | 10 | "He cut himself off, took" | | 11 | "She kept her tone neutral," | | 12 | "He nodded, as if that" | | 13 | "She didn’t answer." | | 14 | "He laughed, but it was" | | 15 | "he said finally" | | 16 | "She arched a brow." | | 17 | "He winced, just slightly, but" | | 18 | "She studied him—the new lines" | | 19 | "He flexed his hand absently" |
| | ratio | 0.5 | |
| 15.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 48 | | totalSentences | 54 | | matches | | 0 | "The Raven’s Nest hummed with" | | 1 | "Rory wiped down the bar" | | 2 | "Silas had stepped out to" | | 3 | "The air smelled of whiskey" | | 4 | "She didn’t notice him at" | | 5 | "The movement was familiar, the" | | 6 | "Rory froze, the rag still" | | 7 | "He hadn’t seen her yet." | | 8 | "He was too busy scanning" | | 9 | "She could still read him," | | 10 | "The restless energy, the way" | | 11 | "She exhaled, slow and deliberate," | | 12 | "His voice was deeper than" | | 13 | "She reached for the bottle" | | 14 | "His eyes—still that unsettling shade" | | 15 | "She folded her arms." | | 16 | "A beat of silence." | | 17 | "He let out a low" | | 18 | "He cut himself off, took" | | 19 | "She kept her tone neutral," |
| | ratio | 0.889 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 2 | | matches | | 0 | "she remembered, rougher" | | 1 | "She kept, but her fingers tightened around the edge of the bar" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 29 | | tagDensity | 0.103 | | leniency | 0.207 | | rawRatio | 0.333 | | effectiveRatio | 0.069 | |