| 4.88% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 4 | | adverbTags | | 0 | "she said flatly [flatly]" | | 1 | "Her voice cracked then [then]" | | 2 | "She looked away [away]" | | 3 | "Aurora’s voice dropped almost [almost]" |
| | dialogueSentences | 41 | | tagDensity | 0.415 | | leniency | 0.829 | | rawRatio | 0.235 | | effectiveRatio | 0.195 | |
| 54.03% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 979 | | totalAiIsmAdverbs | 9 | | found | | | highlights | | 0 | "slowly" | | 1 | "quickly" | | 2 | "tightly" | | 3 | "nervously" | | 4 | "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) | |
| 28.50% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 979 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "familiar" | | 1 | "weight" | | 2 | "flicked" | | 3 | "glinting" | | 4 | "measured" | | 5 | "could feel" | | 6 | "whisper" | | 7 | "unspoken" | | 8 | "silence" | | 9 | "traced" | | 10 | "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 | 55 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 55 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 77 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 977 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 75.50% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 604 | | uniqueNames | 6 | | maxNameDensity | 1.49 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | November | 1 | | Silas | 7 | | Pain | 1 | | Aurora | 9 |
| | persons | | | places | | | globalScore | 0.755 | | windowScore | 0.833 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 39 | | glossingSentenceCount | 3 | | matches | | 0 | "seemed tempered by time and cautious calculation" | | 1 | "something like surprise, maybe hesitation" | | 2 | "not quite touching" |
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| 97.65% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.024 | | wordCount | 977 | | matches | | 0 | "Not to find the past, but to decide what comes next" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 77 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 25.05 | | std | 14.92 | | cv | 0.596 | | sampleLengths | | 0 | 85 | | 1 | 55 | | 2 | 4 | | 3 | 20 | | 4 | 29 | | 5 | 13 | | 6 | 36 | | 7 | 22 | | 8 | 14 | | 9 | 27 | | 10 | 19 | | 11 | 14 | | 12 | 14 | | 13 | 40 | | 14 | 16 | | 15 | 8 | | 16 | 36 | | 17 | 30 | | 18 | 9 | | 19 | 16 | | 20 | 26 | | 21 | 24 | | 22 | 27 | | 23 | 15 | | 24 | 53 | | 25 | 29 | | 26 | 26 | | 27 | 17 | | 28 | 29 | | 29 | 17 | | 30 | 19 | | 31 | 43 | | 32 | 31 | | 33 | 21 | | 34 | 18 | | 35 | 28 | | 36 | 25 | | 37 | 7 | | 38 | 15 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 55 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 107 | | matches | (empty) | |
| 31.54% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 77 | | ratio | 0.039 | | matches | | 0 | "The limp had worsened, but the neat, grey-streaked auburn beard, the silver ring glinting on his right hand — all unmistakable." | | 1 | "Aurora looked up, something unspoken aching between them — years of missed chances, words unsaid." | | 2 | "“Depends on you, Rory.” He smiled—small, uncertain but real." |
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| 77.39% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 606 | | adjectiveStacks | 1 | | stackExamples | | 0 | "neat, grey-streaked auburn" |
| | adverbCount | 33 | | adverbRatio | 0.054455445544554455 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.024752475247524754 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 77 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 77 | | mean | 12.69 | | std | 8.21 | | cv | 0.647 | | sampleLengths | | 0 | 17 | | 1 | 22 | | 2 | 24 | | 3 | 22 | | 4 | 10 | | 5 | 24 | | 6 | 21 | | 7 | 3 | | 8 | 1 | | 9 | 8 | | 10 | 12 | | 11 | 29 | | 12 | 12 | | 13 | 1 | | 14 | 13 | | 15 | 14 | | 16 | 9 | | 17 | 7 | | 18 | 15 | | 19 | 5 | | 20 | 9 | | 21 | 16 | | 22 | 8 | | 23 | 3 | | 24 | 6 | | 25 | 13 | | 26 | 9 | | 27 | 5 | | 28 | 12 | | 29 | 2 | | 30 | 16 | | 31 | 24 | | 32 | 16 | | 33 | 4 | | 34 | 4 | | 35 | 9 | | 36 | 27 | | 37 | 7 | | 38 | 17 | | 39 | 6 | | 40 | 4 | | 41 | 5 | | 42 | 16 | | 43 | 13 | | 44 | 13 | | 45 | 17 | | 46 | 7 | | 47 | 27 | | 48 | 2 | | 49 | 13 |
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| 71.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.44155844155844154 | | totalSentences | 77 | | uniqueOpeners | 34 | |
| 61.73% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 54 | | matches | | | ratio | 0.019 | |
| 27.41% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 54 | | matches | | 0 | "His gaze flicked up, eyes" | | 1 | "He paused, fingers curling tighter" | | 2 | "She stopped, searching his face," | | 3 | "He gave a dry chuckle," | | 4 | "he said, voice gravelly but" | | 5 | "She could feel the accusation" | | 6 | "she said flatly" | | 7 | "His eyes didn’t falter" | | 8 | "She bit the inside of" | | 9 | "Her voice cracked, then steadied" | | 10 | "He gestured toward one of" | | 11 | "She settled into the chair," | | 12 | "She narrowed her eyes." | | 13 | "His gaze sharpened" | | 14 | "She looked away, staring intently" | | 15 | "He shrugged, but there was" | | 16 | "she said after a pause" | | 17 | "Her voice cracked, and she" | | 18 | "He reached forward, resting his" | | 19 | "Her bright blue eyes, sharp" |
| | ratio | 0.481 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 54 | | matches | | 0 | "Aurora stepped into The Raven’s" | | 1 | "The green neon sign outside" | | 2 | "That familiar musky blend of" | | 3 | "The bar had changed little," | | 4 | "Silas stood behind the polished" | | 5 | "His gaze flicked up, eyes" | | 6 | "The limp had worsened, but" | | 7 | "Aurora’s breath caught." | | 8 | "He paused, fingers curling tighter" | | 9 | "The name slipped out low," | | 10 | "The years between them stretched" | | 11 | "She stopped, searching his face," | | 12 | "He gave a dry chuckle," | | 13 | "he said, voice gravelly but" | | 14 | "She could feel the accusation" | | 15 | "she said flatly" | | 16 | "Silas nodded slowly, stepping from" | | 17 | "His eyes didn’t falter" | | 18 | "Pain twisted briefly in Aurora’s" | | 19 | "She bit the inside of" |
| | ratio | 0.944 | |
| 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 | 23 | | technicalSentenceCount | 1 | | matches | | 0 | "The bar had changed little, but the weight she carried now egged everything on, deepening the shadows that pooled in the corners." |
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| 7.35% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 4 | | matches | | 0 | "he said, voice gravelly but steady" | | 1 | "She traced, mumbling," | | 2 | "he admitted, voice grim" | | 3 | "He smiled, uncertain but real" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 41 | | tagDensity | 0.122 | | leniency | 0.244 | | rawRatio | 0.2 | | effectiveRatio | 0.049 | |