| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 97.55% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2037 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 53.36% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2037 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "loomed" | | 1 | "warmth" | | 2 | "comforting" | | 3 | "silence" | | 4 | "echoed" | | 5 | "echo" | | 6 | "perfect" | | 7 | "pulsed" | | 8 | "shattered" | | 9 | "aligned" | | 10 | "tension" | | 11 | "normalcy" | | 12 | "familiar" | | 13 | "flickered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "knuckles turned white" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 349 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 349 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 349 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2034 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 68.88% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 65 | | wordCount | 2034 | | uniqueNames | 14 | | maxNameDensity | 1.62 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Grove | 5 | | London | 2 | | Evan | 2 | | Heartstone | 4 | | Earth | 1 | | Fae | 1 | | Hel | 2 | | Aurora | 33 | | Richmond | 1 | | Park | 1 | | Rory | 2 | | Wrong | 3 | | You | 5 | | Thump | 3 |
| | persons | | 0 | "Grove" | | 1 | "Evan" | | 2 | "Heartstone" | | 3 | "Aurora" | | 4 | "Rory" | | 5 | "You" |
| | places | | 0 | "London" | | 1 | "Earth" | | 2 | "Richmond" | | 3 | "Park" |
| | globalScore | 0.689 | | windowScore | 0.833 | |
| 98.28% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 145 | | glossingSentenceCount | 3 | | matches | | 0 | "sounded like dry leaves skittering on pave" | | 1 | "seemed closer now" | | 2 | "felt like kicking a stone wall" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 0.983 | | wordCount | 2034 | | matches | | 0 | "not comforting, but invasive" | | 1 | "not soil, but a swirling mist below" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 349 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 124 | | mean | 16.4 | | std | 12.67 | | cv | 0.773 | | sampleLengths | | 0 | 46 | | 1 | 54 | | 2 | 9 | | 3 | 1 | | 4 | 31 | | 5 | 2 | | 6 | 32 | | 7 | 45 | | 8 | 7 | | 9 | 3 | | 10 | 41 | | 11 | 13 | | 12 | 40 | | 13 | 5 | | 14 | 36 | | 15 | 4 | | 16 | 15 | | 17 | 49 | | 18 | 27 | | 19 | 16 | | 20 | 30 | | 21 | 41 | | 22 | 3 | | 23 | 22 | | 24 | 11 | | 25 | 43 | | 26 | 3 | | 27 | 19 | | 28 | 20 | | 29 | 2 | | 30 | 25 | | 31 | 26 | | 32 | 27 | | 33 | 30 | | 34 | 9 | | 35 | 2 | | 36 | 21 | | 37 | 4 | | 38 | 27 | | 39 | 2 | | 40 | 24 | | 41 | 5 | | 42 | 42 | | 43 | 9 | | 44 | 34 | | 45 | 15 | | 46 | 4 | | 47 | 26 | | 48 | 5 | | 49 | 11 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 349 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 393 | | matches | | 0 | "was thinning" | | 1 | "were climbing" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 349 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 2037 | | adjectiveStacks | 1 | | stackExamples | | 0 | "heavy, pressing against her" |
| | adverbCount | 42 | | adverbRatio | 0.020618556701030927 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.0039273441335297005 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 349 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 349 | | mean | 5.83 | | std | 3.84 | | cv | 0.66 | | sampleLengths | | 0 | 14 | | 1 | 17 | | 2 | 15 | | 3 | 24 | | 4 | 17 | | 5 | 8 | | 6 | 5 | | 7 | 4 | | 8 | 5 | | 9 | 1 | | 10 | 4 | | 11 | 11 | | 12 | 9 | | 13 | 7 | | 14 | 2 | | 15 | 2 | | 16 | 11 | | 17 | 2 | | 18 | 5 | | 19 | 12 | | 20 | 10 | | 21 | 10 | | 22 | 4 | | 23 | 16 | | 24 | 5 | | 25 | 4 | | 26 | 3 | | 27 | 3 | | 28 | 8 | | 29 | 13 | | 30 | 9 | | 31 | 11 | | 32 | 4 | | 33 | 9 | | 34 | 6 | | 35 | 20 | | 36 | 11 | | 37 | 3 | | 38 | 5 | | 39 | 12 | | 40 | 3 | | 41 | 8 | | 42 | 13 | | 43 | 4 | | 44 | 9 | | 45 | 2 | | 46 | 4 | | 47 | 6 | | 48 | 18 | | 49 | 11 |
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| 35.10% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 52 | | diversityRatio | 0.22063037249283668 | | totalSentences | 349 | | uniqueOpeners | 77 | |
| 45.66% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 292 | | matches | | 0 | "Just the sound of her" | | 1 | "Just a smooth surface of" | | 2 | "Only a void, starless and" | | 3 | "Then a voice." |
| | ratio | 0.014 | |
| 99.45% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 88 | | totalSentences | 292 | | matches | | 0 | "She stood still, boots sinking" | | 1 | "They shouldn't exist this late" | | 2 | "They shouldn't exist at all." | | 3 | "She checked her watch." | | 4 | "It swung against her sternum," | | 5 | "She took a step toward" | | 6 | "Her left wrist itched." | | 7 | "She rubbed the small crescent-shaped" | | 8 | "You're burning me." | | 9 | "They never did." | | 10 | "I know you're there." | | 11 | "Her voice sounded flat, absorbed" | | 12 | "She walked deeper into the" | | 13 | "Her breath plumed in front" | | 14 | "She hissed through her teeth" | | 15 | "She didn't turn her head." | | 16 | "She watched the reflection in" | | 17 | "It wore the shape of" | | 18 | "You're not Evan." | | 19 | "It stepped forward." |
| | ratio | 0.301 | |
| 6.23% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 265 | | totalSentences | 292 | | matches | | 0 | "Aurora's thumb dug into the" | | 1 | "The silver chain bit into" | | 2 | "She stood still, boots sinking" | | 3 | "The ancient oak standing stones" | | 4 | "Wildflowers bloomed at her feet," | | 5 | "They shouldn't exist this late" | | 6 | "They shouldn't exist at all." | | 7 | "She checked her watch." | | 8 | "The second hand twitched backwards." | | 9 | "Aurora released the pendant." | | 10 | "It swung against her sternum," | | 11 | "Warmth spread through her chest," | | 12 | "The air in the Grove" | | 13 | "She took a step toward" | | 14 | "The grass crunched, dry and" | | 15 | "Her left wrist itched." | | 16 | "She rubbed the small crescent-shaped" | | 17 | "Something crawled under the skin." | | 18 | "The pendant warmed again." | | 19 | "You're burning me." |
| | ratio | 0.908 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 292 | | matches | (empty) | | ratio | 0 | |
| 76.72% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 5 | | matches | | 0 | "She stood still, boots sinking into soil that felt too soft, too much like flesh." | | 1 | "The ancient oak standing stones loomed around the clearing, their bark twisted into shapes that resembled screaming faces if stared at for too long." | | 2 | "Wildflowers bloomed at her feet, vibrant blues and violent purples that smelled of ozone and rotting lilies." | | 3 | "Roots burst from the ground, wrapping around her arms, pinning them to the trunk." | | 4 | "The mist rose, forming hands that reached for her heels." |
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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 | |