| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 25 | | tagDensity | 0.48 | | leniency | 0.96 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 646 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 45.82% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 646 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "charged" | | 1 | "eyebrow" | | 2 | "loomed" | | 3 | "weight" | | 4 | "pulsed" | | 5 | "silence" |
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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 | 56 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 56 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 69 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 22 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 4 | | totalWords | 644 | | ratio | 0.006 | | matches | | 0 | "For when you're ready." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 12 | | wordCount | 520 | | uniqueNames | 9 | | maxNameDensity | 0.58 | | worstName | "London" | | maxWindowNameDensity | 1 | | worstWindowName | "London" | | discoveredNames | | Fae | 1 | | Grove | 1 | | Silas | 1 | | London | 3 | | Heartstone | 2 | | Ready | 1 | | Cold | 1 | | Richmond | 1 | | Park | 1 |
| | persons | | | places | | 0 | "Fae" | | 1 | "Grove" | | 2 | "London" | | 3 | "Richmond" | | 4 | "Park" |
| | globalScore | 1 | | windowScore | 1 | |
| 95.65% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | glossingSentenceCount | 1 | | matches | | |
| 44.72% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.553 | | wordCount | 644 | | matches | | 0 | "Not wrong, exactly, but charged, like the air before a storm" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 69 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 20.13 | | std | 10.36 | | cv | 0.515 | | sampleLengths | | 0 | 18 | | 1 | 33 | | 2 | 40 | | 3 | 35 | | 4 | 7 | | 5 | 36 | | 6 | 11 | | 7 | 26 | | 8 | 18 | | 9 | 16 | | 10 | 13 | | 11 | 2 | | 12 | 29 | | 13 | 29 | | 14 | 5 | | 15 | 13 | | 16 | 5 | | 17 | 25 | | 18 | 18 | | 19 | 21 | | 20 | 17 | | 21 | 19 | | 22 | 34 | | 23 | 29 | | 24 | 4 | | 25 | 26 | | 26 | 18 | | 27 | 19 | | 28 | 23 | | 29 | 34 | | 30 | 15 | | 31 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 56 | | matches | (empty) | |
| 43.14% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 85 | | matches | | 0 | "was standing" | | 1 | "was burning" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 69 | | ratio | 0 | | matches | (empty) | |
| 96.45% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 522 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.044061302681992334 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0019157088122605363 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 69 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 69 | | mean | 9.33 | | std | 5.41 | | cv | 0.58 | | sampleLengths | | 0 | 7 | | 1 | 11 | | 2 | 11 | | 3 | 8 | | 4 | 14 | | 5 | 11 | | 6 | 10 | | 7 | 3 | | 8 | 16 | | 9 | 10 | | 10 | 18 | | 11 | 7 | | 12 | 7 | | 13 | 9 | | 14 | 20 | | 15 | 7 | | 16 | 11 | | 17 | 1 | | 18 | 2 | | 19 | 6 | | 20 | 17 | | 21 | 16 | | 22 | 2 | | 23 | 16 | | 24 | 13 | | 25 | 2 | | 26 | 20 | | 27 | 9 | | 28 | 16 | | 29 | 6 | | 30 | 7 | | 31 | 5 | | 32 | 13 | | 33 | 3 | | 34 | 2 | | 35 | 9 | | 36 | 16 | | 37 | 6 | | 38 | 8 | | 39 | 4 | | 40 | 16 | | 41 | 5 | | 42 | 12 | | 43 | 2 | | 44 | 2 | | 45 | 1 | | 46 | 9 | | 47 | 10 | | 48 | 22 | | 49 | 12 |
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| 68.60% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.463768115942029 | | totalSentences | 69 | | uniqueOpeners | 32 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 47 | | matches | | 0 | "Just a note: *For when" | | 1 | "Just endless green stretching away" |
| | ratio | 0.043 | |
| 24.26% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 47 | | matches | | 0 | "I'd told Silas I needed" | | 1 | "He'd raised an eyebrow but" | | 2 | "I'd been here before, of" | | 3 | "I'd woken up with it" | | 4 | "I stepped between the stones" | | 5 | "It wore a cloak of" | | 6 | "it said, and its voice" | | 7 | "I said, and my voice" | | 8 | "It gestured to the pendant" | | 9 | "It stepped closer, and I" | | 10 | "I couldn't see my shoes" | | 11 | "it countered, and something in" | | 12 | "It laughed, and the sound" | | 13 | "My hand went to the" | | 14 | "It was burning now, hot" | | 15 | "It moved closer still, and" | | 16 | "I said, and my voice" | | 17 | "It was right in front" | | 18 | "It reached out, and its" | | 19 | "I stumbled back, but the" |
| | ratio | 0.489 | |
| 77.02% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 36 | | totalSentences | 47 | | matches | | 0 | "The Fae Grove felt different" | | 1 | "I'd told Silas I needed" | | 2 | "He'd raised an eyebrow but" | | 3 | "Everyone knew better than to" | | 4 | "The standing stones loomed ahead," | | 5 | "I'd been here before, of" | | 6 | "The Heartstone pendant pulsed against" | | 7 | "I'd woken up with it" | | 8 | "I stepped between the stones" | | 9 | "The London skyline vanished, replaced" | | 10 | "The air tasted of honey" | | 11 | "Arms too long, fingers too" | | 12 | "It wore a cloak of" | | 13 | "it said, and its voice" | | 14 | "I said, and my voice" | | 15 | "It gestured to the pendant" | | 16 | "It stepped closer, and I" | | 17 | "The ground beneath my feet" | | 18 | "I couldn't see my shoes" | | 19 | "it countered, and something in" |
| | ratio | 0.766 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 47 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 18 | | technicalSentenceCount | 1 | | matches | | 0 | "The London skyline vanished, replaced by an impossible night sky where stars wheeled in patterns that made my eyes water." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 2 | | matches | | 0 | "it said, and its voice was the sound of dead leaves skittering across pavement" | | 1 | "it said, and its smile was all teeth" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 25 | | tagDensity | 0.24 | | leniency | 0.48 | | rawRatio | 0 | | effectiveRatio | 0 | |