| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 16 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 87.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1579 | | totalAiIsmAdverbs | 4 | | 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) | |
| 46.17% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1579 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "searing" | | 1 | "pulsed" | | 2 | "echoed" | | 3 | "throbbed" | | 4 | "scanned" | | 5 | "shimmered" | | 6 | "whisper" | | 7 | "lilt" | | 8 | "warmth" | | 9 | "vibrated" | | 10 | "raced" | | 11 | "shattered" | | 12 | "could feel" | | 13 | "rhythmic" | | 14 | "disrupted" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 173 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 173 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 181 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 9 | | totalWords | 1579 | | ratio | 0.006 | | matches | | 0 | "They wear the skins of what they hunger for." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 45 | | wordCount | 1501 | | uniqueNames | 13 | | maxNameDensity | 1.07 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 5 | | Carter | 1 | | Isolde | 1 | | Fae | 4 | | Hel | 5 | | Yu-Fei | 1 | | Golden | 2 | | Empress | 2 | | Grove | 1 | | Welsh | 1 | | Rory | 16 | | Dymas | 2 | | Aurora | 4 |
| | persons | | 0 | "Heartstone" | | 1 | "Carter" | | 2 | "Empress" | | 3 | "Rory" | | 4 | "Aurora" |
| | places | | | globalScore | 0.967 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 119 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like ice and iron" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.633 | | wordCount | 1579 | | matches | | 0 | "not for the book, but for her throat" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 181 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 47.85 | | std | 28.25 | | cv | 0.59 | | sampleLengths | | 0 | 116 | | 1 | 97 | | 2 | 98 | | 3 | 78 | | 4 | 89 | | 5 | 57 | | 6 | 57 | | 7 | 7 | | 8 | 64 | | 9 | 33 | | 10 | 48 | | 11 | 15 | | 12 | 53 | | 13 | 19 | | 14 | 47 | | 15 | 24 | | 16 | 33 | | 17 | 59 | | 18 | 25 | | 19 | 61 | | 20 | 4 | | 21 | 53 | | 22 | 54 | | 23 | 60 | | 24 | 53 | | 25 | 9 | | 26 | 74 | | 27 | 24 | | 28 | 32 | | 29 | 68 | | 30 | 44 | | 31 | 20 | | 32 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 173 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 268 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 181 | | ratio | 0.006 | | matches | | 0 | "The boundary markers had blurred hours ago, or perhaps minutes; time slipped through the Fae pocket like water through a clenched fist." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1515 | | adjectiveStacks | 2 | | stackExamples | | 0 | "small crescent-shaped scar" | | 1 | "heavy, leather-bound book" |
| | adverbCount | 32 | | adverbRatio | 0.021122112211221122 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.008580858085808581 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 181 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 181 | | mean | 8.72 | | std | 5.32 | | cv | 0.609 | | sampleLengths | | 0 | 12 | | 1 | 20 | | 2 | 32 | | 3 | 20 | | 4 | 10 | | 5 | 22 | | 6 | 8 | | 7 | 19 | | 8 | 9 | | 9 | 5 | | 10 | 11 | | 11 | 3 | | 12 | 33 | | 13 | 3 | | 14 | 6 | | 15 | 10 | | 16 | 2 | | 17 | 7 | | 18 | 10 | | 19 | 6 | | 20 | 5 | | 21 | 14 | | 22 | 8 | | 23 | 5 | | 24 | 13 | | 25 | 18 | | 26 | 5 | | 27 | 2 | | 28 | 9 | | 29 | 6 | | 30 | 7 | | 31 | 6 | | 32 | 5 | | 33 | 4 | | 34 | 17 | | 35 | 17 | | 36 | 9 | | 37 | 17 | | 38 | 8 | | 39 | 6 | | 40 | 12 | | 41 | 4 | | 42 | 7 | | 43 | 14 | | 44 | 12 | | 45 | 2 | | 46 | 14 | | 47 | 7 | | 48 | 6 | | 49 | 2 |
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| 34.53% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 28 | | diversityRatio | 0.23204419889502761 | | totalSentences | 181 | | uniqueOpeners | 42 | |
| 20.58% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 162 | | matches | | | ratio | 0.006 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 44 | | totalSentences | 162 | | matches | | 0 | "Her fingers scrambled for purchase" | | 1 | "She wasn't supposed to be" | | 2 | "They swayed though a stagnant" | | 3 | "She watched her left wrist." | | 4 | "She scanned the tree line." | | 5 | "She turned her head slowly." | | 6 | "She needed to move." | | 7 | "She gripped the serrated blade" | | 8 | "Her boots made no sound" | | 9 | "She didn't pull it out" | | 10 | "She counted her steps." | | 11 | "Her heart hammered against her" | | 12 | "*They wear the skins of" | | 13 | "It pointed a long digit" | | 14 | "She checked the eye line." | | 15 | "It hadn't detected her yet." | | 16 | "She focused on the scent." | | 17 | "It fed on recognition." | | 18 | "She drew the blade fully," | | 19 | "she said, her voice flat" |
| | ratio | 0.272 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 150 | | totalSentences | 162 | | matches | | 0 | "The Heartstone flared, a white-hot" | | 1 | "Aurora Carter pressed her spine" | | 2 | "Her fingers scrambled for purchase" | | 3 | "The ancient oak standing stones" | | 4 | "She wasn't supposed to be" | | 5 | "The boundary markers had blurred" | | 6 | "The air tasted of copper" | | 7 | "Wildflowers carpeted the ground, their" | | 8 | "They swayed though a stagnant" | | 9 | "Aurora checked the silver chain." | | 10 | "The heartstone pulsed with a" | | 11 | "A Hel portal." | | 12 | "The unknown benefactor's coordinates led" | | 13 | "A rustle echoed from the" | | 14 | "The scratch of dry skin" | | 15 | "Aurora kept her body perfectly" | | 16 | "She watched her left wrist." | | 17 | "The small crescent-shaped scar from" | | 18 | "The sensation warned of proximity" | | 19 | "She scanned the tree line." |
| | ratio | 0.926 | |
| 30.86% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 162 | | matches | | 0 | "If the creature demanded she" |
| | ratio | 0.006 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 59 | | technicalSentenceCount | 1 | | matches | | 0 | "Her fingers scrambled for purchase in the loam, nails digging into roots that felt too warm, pulsing with a rhythm that matched the frantic thrumming of the cri…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, her voice flat" | | 1 | "it whispered, soundlessly" |
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| 25.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "Rory muttered (mutter)" | | 1 | "it whispered (whisper)" |
| | dialogueSentences | 16 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.5 | | effectiveRatio | 0.25 | |