| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 73.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1125 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "quickly" | | 1 | "truly" | | 2 | "slowly" | | 3 | "very" | | 4 | "suddenly" |
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| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1125 | | totalAiIsms | 26 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "stark" | | 1 | "velvet" | | 2 | "oppressive" | | 3 | "familiar" | | 4 | "sense of" | | 5 | "profound" | | 6 | "warmth" | | 7 | "pulse" | | 8 | "rhythmic" | | 9 | "beacon" | | 10 | "silence" | | 11 | "weight" | | 12 | "scanned" | | 13 | "flicker" | | 14 | "whisper" | | 15 | "chill" | | 16 | "shimmered" | | 17 | "perfect" | | 18 | "depths" | | 19 | "calculating" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "wave of emotion" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 110 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 110 | | filterMatches | (empty) | | hedgeMatches | | |
| 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 | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1120 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 11 | | wordCount | 1118 | | uniqueNames | 6 | | maxNameDensity | 0.27 | | worstName | "Heartstone" | | maxWindowNameDensity | 1 | | worstWindowName | "London" | | discoveredNames | | Park | 1 | | Fae | 2 | | Grove | 2 | | London | 2 | | Heartstone | 3 | | Pendant | 1 |
| | persons | (empty) | | places | | 0 | "Park" | | 1 | "Fae" | | 2 | "Grove" | | 3 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 57.41% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 81 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like foxgloves seemed to turn thei" | | 1 | "quite recall" | | 2 | "felt like the opposite" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.893 | | wordCount | 1120 | | matches | | 0 | "not a neutral absence of heat, but an active, biting chill, like a shard of ice pressed against" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 110 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 19 | | mean | 58.95 | | std | 29.89 | | cv | 0.507 | | sampleLengths | | 0 | 85 | | 1 | 77 | | 2 | 64 | | 3 | 70 | | 4 | 75 | | 5 | 84 | | 6 | 77 | | 7 | 28 | | 8 | 1 | | 9 | 35 | | 10 | 14 | | 11 | 79 | | 12 | 119 | | 13 | 75 | | 14 | 49 | | 15 | 70 | | 16 | 3 | | 17 | 51 | | 18 | 64 |
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| 92.50% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 110 | | matches | | 0 | "was gone" | | 1 | "was said" | | 2 | "was supposed" | | 3 | "was gone" |
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| 49.34% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 177 | | matches | | 0 | "was listening" | | 1 | "was betraying" | | 2 | "was showing" | | 3 | "was playing" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 110 | | ratio | 0.009 | | matches | | 0 | "It was no longer empty; it was occupied." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1123 | | adjectiveStacks | 2 | | stackExamples | | 0 | "small, crescent-shaped scar" | | 1 | "small, crescent-shaped scar" |
| | adverbCount | 39 | | adverbRatio | 0.034728406055209264 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.015138023152270703 | |
| 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 | 10.18 | | std | 6.05 | | cv | 0.594 | | sampleLengths | | 0 | 27 | | 1 | 18 | | 2 | 8 | | 3 | 4 | | 4 | 25 | | 5 | 3 | | 6 | 7 | | 7 | 18 | | 8 | 12 | | 9 | 15 | | 10 | 13 | | 11 | 12 | | 12 | 12 | | 13 | 3 | | 14 | 9 | | 15 | 13 | | 16 | 15 | | 17 | 12 | | 18 | 13 | | 19 | 18 | | 20 | 23 | | 21 | 4 | | 22 | 12 | | 23 | 5 | | 24 | 5 | | 25 | 3 | | 26 | 2 | | 27 | 4 | | 28 | 9 | | 29 | 1 | | 30 | 8 | | 31 | 5 | | 32 | 12 | | 33 | 1 | | 34 | 20 | | 35 | 18 | | 36 | 11 | | 37 | 21 | | 38 | 17 | | 39 | 6 | | 40 | 6 | | 41 | 5 | | 42 | 8 | | 43 | 4 | | 44 | 9 | | 45 | 10 | | 46 | 4 | | 47 | 13 | | 48 | 22 | | 49 | 7 |
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| 37.88% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.3090909090909091 | | totalSentences | 110 | | uniqueOpeners | 34 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 102 | | matches | | 0 | "Then came the sound." | | 1 | "Just a trick of the" | | 2 | "Then she saw it." | | 3 | "Bright blue eyes, wide with" |
| | ratio | 0.039 | |
| 59.22% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 41 | | totalSentences | 102 | | matches | | 0 | "They left damp trails that" | | 1 | "She paused, straining to see" | | 2 | "It was a silver wound" | | 3 | "She was an island in" | | 4 | "Its faint, steady pulse was" | | 5 | "It felt less like a" | | 6 | "It was a waiting silence," | | 7 | "She held her breath, listening." | | 8 | "It was no longer empty;" | | 9 | "She slowly scanned the trees," | | 10 | "She forced a steadying breath" | | 11 | "She pressed forward, aiming for" | | 12 | "Her mind recoiled from the" | | 13 | "It happened at the edge" | | 14 | "Her cool-headed nature, the very" | | 15 | "She rubbed the small, crescent-shaped" | | 16 | "Her own body was betraying" | | 17 | "It was sibilant, like the" | | 18 | "She spun, her boots digging" | | 19 | "It was a name from" |
| | ratio | 0.402 | |
| 33.53% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 87 | | totalSentences | 102 | | matches | | 0 | "The air clung to her" | | 1 | "Ferns, impossibly large and soft" | | 2 | "They left damp trails that" | | 3 | "This was the place." | | 4 | "Richmond Park fell away behind" | | 5 | "The Fae Grove." | | 6 | "She paused, straining to see" | | 7 | "The ancient oak standing stones," | | 8 | "It was a silver wound" | | 9 | "A sense of profound isolation" | | 10 | "She was an island in" | | 11 | "The Heartstone Pendant." | | 12 | "Its faint, steady pulse was" | | 13 | "The deep crimson gemstone, a" | | 14 | "It felt less like a" | | 15 | "The aural landscape was the" | | 16 | "The constant, low hum of" | | 17 | "It was a waiting silence," | | 18 | "The sharp crack of a" | | 19 | "Rory froze, every muscle tensed." |
| | ratio | 0.853 | |
| 49.02% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 102 | | matches | | 0 | "Yet, its rhythmic heat was" |
| | ratio | 0.01 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 2 | | matches | | 0 | "Blues so deep they were almost black, yellows that glowed with a sickening phosphorescence, and reds the colour of fresh blood." | | 1 | "It was a slow, stretching grin that pulled the lips back from the teeth in a predatory snarl." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |