| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 448 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 448 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "silence" | | 1 | "pulsed" | | 2 | "flicker" | | 3 | "footsteps" | | 4 | "echoed" | | 5 | "pulse" | | 6 | "whisper" | | 7 | "racing" | | 8 | "gloom" | | 9 | "warmth" |
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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 | 66 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 66 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 66 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 15 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 445 | | ratio | 0.002 | | 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 | 2 | | wordCount | 445 | | uniqueNames | 2 | | maxNameDensity | 0.22 | | worstName | "Heartstone" | | maxWindowNameDensity | 0 | | worstWindowName | (null) | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 82.43% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 37 | | glossingSentenceCount | 1 | | matches | | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 2.247 | | wordCount | 445 | | matches | | 0 | "not of earth or decay, but something sweeter, cloying" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 66 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 21 | | mean | 21.19 | | std | 16.66 | | cv | 0.786 | | sampleLengths | | 0 | 60 | | 1 | 44 | | 2 | 36 | | 3 | 39 | | 4 | 26 | | 5 | 30 | | 6 | 33 | | 7 | 36 | | 8 | 27 | | 9 | 9 | | 10 | 32 | | 11 | 29 | | 12 | 5 | | 13 | 4 | | 14 | 4 | | 15 | 1 | | 16 | 9 | | 17 | 4 | | 18 | 3 | | 19 | 5 | | 20 | 9 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 66 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 88 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 66 | | ratio | 0.061 | | matches | | 0 | "A flicker caught her eye—a shape darting between trees." | | 1 | "Something wet brushed her ankle—slime?" | | 2 | "Stars blinked through leaves, but the sky felt wrong—too close, too heavy." | | 3 | "Then—" |
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| 88.13% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 448 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.05357142857142857 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.006696428571428571 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 66 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 66 | | mean | 6.74 | | std | 3.54 | | cv | 0.525 | | sampleLengths | | 0 | 13 | | 1 | 15 | | 2 | 15 | | 3 | 8 | | 4 | 9 | | 5 | 11 | | 6 | 10 | | 7 | 2 | | 8 | 2 | | 9 | 10 | | 10 | 9 | | 11 | 6 | | 12 | 9 | | 13 | 7 | | 14 | 9 | | 15 | 5 | | 16 | 3 | | 17 | 15 | | 18 | 5 | | 19 | 5 | | 20 | 11 | | 21 | 4 | | 22 | 1 | | 23 | 1 | | 24 | 6 | | 25 | 3 | | 26 | 5 | | 27 | 6 | | 28 | 9 | | 29 | 10 | | 30 | 5 | | 31 | 6 | | 32 | 11 | | 33 | 3 | | 34 | 6 | | 35 | 5 | | 36 | 1 | | 37 | 2 | | 38 | 5 | | 39 | 8 | | 40 | 5 | | 41 | 11 | | 42 | 12 | | 43 | 7 | | 44 | 6 | | 45 | 8 | | 46 | 3 | | 47 | 3 | | 48 | 9 | | 49 | 4 |
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| 48.99% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3484848484848485 | | totalSentences | 66 | | uniqueOpeners | 23 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 59 | | matches | | 0 | "Somewhere beyond the ring of" | | 1 | "Then started again, closer now." |
| | ratio | 0.034 | |
| 97.97% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 59 | | matches | | 0 | "She checked the Heartstone Pendant" | | 1 | "It thrummed once, soft as" | | 2 | "Her hand drifted to the" | | 3 | "She moved forward, each step" | | 4 | "Her breath hitched." | | 5 | "She swallowed hard, throat dry." | | 6 | "She spun, but saw only" | | 7 | "Her pulse thudded in her" | | 8 | "It slid under her skin," | | 9 | "She gripped the knife tighter." | | 10 | "She stepped through." | | 11 | "She stumbled back, heart racing." | | 12 | "Their faces were smooth, featureless," | | 13 | "She backed away, tripping over" | | 14 | "Her legs gave out." | | 15 | "She lay back, staring at" | | 16 | "It moved with purpose now," | | 17 | "She closed her eyes." |
| | ratio | 0.305 | |
| 10.85% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 59 | | matches | | 0 | "The air tasted metallic, like" | | 1 | "Aurora stepped off the narrow" | | 2 | "The moon hung low, a" | | 3 | "She checked the Heartstone Pendant" | | 4 | "It thrummed once, soft as" | | 5 | "A silence pressed against her" | | 6 | "Her hand drifted to the" | | 7 | "The pendant pulsed again, faint" | | 8 | "She moved forward, each step" | | 9 | "The ground sloped downward, roots" | | 10 | "Shadows pooled thick between trunks," | | 11 | "A flicker caught her eye—a" | | 12 | "Her breath hitched." | | 13 | "The air shifted, carrying a" | | 14 | "She swallowed hard, throat dry." | | 15 | "The pendant’s glow dimmed, then" | | 16 | "Footsteps echoed behind her." | | 17 | "She spun, but saw only" | | 18 | "The sound stopped." | | 19 | "Her pulse thudded in her" |
| | ratio | 0.898 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 59 | | matches | (empty) | | ratio | 0 | |
| 95.24% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 15 | | technicalSentenceCount | 1 | | matches | | 0 | "Aurora stepped off the narrow path, boots crunching on dry leaves that didn’t rustle underfoot." |
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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 | |