| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 565 | | 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) | |
| 29.20% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 565 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "familiar" | | 1 | "rhythmic" | | 2 | "vibrated" | | 3 | "weight" | | 4 | "pulsed" | | 5 | "throb" | | 6 | "pulse" |
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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 | 45 | | matches | (empty) | |
| 15.87% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 45 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 45 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 563 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 10 | | wordCount | 556 | | uniqueNames | 9 | | maxNameDensity | 0.36 | | worstName | "Grove" | | maxWindowNameDensity | 1 | | worstWindowName | "Grove" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Carter | 1 | | Rory | 1 | | Golden | 1 | | Empress | 1 | | Heartstone | 1 | | Pendant | 1 | | Grove | 2 |
| | persons | | 0 | "Carter" | | 1 | "Rory" | | 2 | "Empress" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 34 | | glossingSentenceCount | 3 | | matches | | 0 | "tasted like damp earth and ozone, thick a" | | 1 | "felt like a trap" | | 2 | "felt like a key, or a warning" |
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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 | 563 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 45 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 4 | | mean | 0 | | std | 0 | | cv | 0 | | sampleLengths | | |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 45 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 81 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 45 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 558 | | adjectiveStacks | 1 | | stackExamples | | 0 | "faint, sickly sweet scent," |
| | adverbCount | 15 | | adverbRatio | 0.026881720430107527 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0035842293906810036 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 45 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 45 | | mean | 12.51 | | std | 7.6 | | cv | 0.607 | | sampleLengths | | 0 | 22 | | 1 | 12 | | 2 | 2 | | 3 | 17 | | 4 | 24 | | 5 | 15 | | 6 | 19 | | 7 | 12 | | 8 | 21 | | 9 | 18 | | 10 | 16 | | 11 | 21 | | 12 | 9 | | 13 | 8 | | 14 | 2 | | 15 | 16 | | 16 | 18 | | 17 | 14 | | 18 | 26 | | 19 | 8 | | 20 | 35 | | 21 | 29 | | 22 | 3 | | 23 | 12 | | 24 | 1 | | 25 | 5 | | 26 | 14 | | 27 | 11 | | 28 | 8 | | 29 | 7 | | 30 | 8 | | 31 | 11 | | 32 | 17 | | 33 | 17 | | 34 | 9 | | 35 | 15 | | 36 | 9 | | 37 | 5 | | 38 | 4 | | 39 | 5 | | 40 | 9 | | 41 | 16 | | 42 | 5 | | 43 | 3 | | 44 | 5 |
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| 45.56% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.28888888888888886 | | totalSentences | 45 | | uniqueOpeners | 13 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 42 | | matches | | 0 | "Just the cold, reassuring weight" | | 1 | "Just shadows, deeper shadows, shifting." |
| | ratio | 0.048 | |
| 29.52% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 42 | | matches | | 0 | "She’d taken the shortcut through" | | 1 | "She shivered, pulling her jacket" | | 2 | "She’d seen them before, but" | | 3 | "She’d smelled it once before," | | 4 | "Her phone screen was a" | | 5 | "It had pulsed faintly when" | | 6 | "She’d taken it from the" | | 7 | "It felt like a key," | | 8 | "She’d come here for a" | | 9 | "She wasn’t alone." | | 10 | "She took a step back," | | 11 | "She stumbled, catching herself on" | | 12 | "Her breath came in short," | | 13 | "She pressed a hand to" | | 14 | "It pulsed, a heartbeat in" | | 15 | "She clung to the oak," | | 16 | "She was here for a" | | 17 | "It was ancient, hungry." | | 18 | "It was the pulse of" | | 19 | "It was alive." |
| | ratio | 0.476 | |
| 55.24% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 34 | | totalSentences | 42 | | matches | | 0 | "The night air in Richmond" | | 1 | "Aurora Carter, or Rory, as" | | 2 | "The neon glow of the" | | 3 | "She’d taken the shortcut through" | | 4 | "The trees seemed to lean" | | 5 | "A low, rhythmic thrum vibrated" | | 6 | "She shivered, pulling her jacket" | | 7 | "The standing stones marked the" | | 8 | "She’d seen them before, but" | | 9 | "A faint, sickly sweet scent," | | 10 | "She’d smelled it once before," | | 11 | "Her phone screen was a" | | 12 | "It had pulsed faintly when" | | 13 | "She’d taken it from the" | | 14 | "It felt like a key," | | 15 | "She’d come here for a" | | 16 | "She wasn’t alone." | | 17 | "A movement, just at the" | | 18 | "The trees seemed to breathe," | | 19 | "She took a step back," |
| | ratio | 0.81 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 42 | | matches | | 0 | "Now it clung to the" | | 1 | "Now it hummed, a low," | | 2 | "Now, standing beneath the ancient" |
| | ratio | 0.071 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 1 | | matches | | 0 | "The pendant’s glow flared, a sudden, intense crimson light that made the surrounding darkness seem even deeper." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |