| 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 | 1733 | | 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) | |
| 19.22% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1733 | | totalAiIsms | 28 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "pulse" | | 1 | "shimmered" | | 2 | "silk" | | 3 | "gloom" | | 4 | "fractured" | | 5 | "pulsed" | | 6 | "whisper" | | 7 | "weight" | | 8 | "traced" | | 9 | "echoed" | | 10 | "warmth" | | 11 | "marble" | | 12 | "footsteps" | | 13 | "perfect" | | 14 | "gleaming" | | 15 | "stomach" | | 16 | "trembled" | | 17 | "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 | 2 | | narrationSentences | 284 | | matches | | 0 | "p with fear" | | 1 | "d with panic" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 284 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 284 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 21 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1733 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 80.76% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 74 | | wordCount | 1733 | | uniqueNames | 12 | | maxNameDensity | 1.38 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 1 | | Veil | 6 | | Rory | 24 | | Fae-forged | 1 | | Belphegor | 3 | | Isolde | 15 | | Wardens | 1 | | Fae | 3 | | Master | 1 | | Keep | 3 | | Nyx | 13 | | Water | 3 |
| | persons | | 0 | "Rory" | | 1 | "Belphegor" | | 2 | "Isolde" | | 3 | "Wardens" | | 4 | "Fae" | | 5 | "Master" | | 6 | "Keep" | | 7 | "Nyx" | | 8 | "Water" |
| | places | | | globalScore | 0.808 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 138 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.577 | | wordCount | 1733 | | matches | | 0 | "Not fire, but the heavy, syrup-warm breath of a summer kitchen" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 284 | | matches | (empty) | |
| 94.94% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 31.51 | | std | 15.2 | | cv | 0.482 | | sampleLengths | | 0 | 64 | | 1 | 31 | | 2 | 28 | | 3 | 49 | | 4 | 30 | | 5 | 59 | | 6 | 20 | | 7 | 54 | | 8 | 29 | | 9 | 11 | | 10 | 33 | | 11 | 52 | | 12 | 29 | | 13 | 15 | | 14 | 73 | | 15 | 6 | | 16 | 32 | | 17 | 41 | | 18 | 21 | | 19 | 48 | | 20 | 52 | | 21 | 21 | | 22 | 42 | | 23 | 29 | | 24 | 26 | | 25 | 53 | | 26 | 21 | | 27 | 44 | | 28 | 9 | | 29 | 20 | | 30 | 21 | | 31 | 59 | | 32 | 46 | | 33 | 18 | | 34 | 38 | | 35 | 27 | | 36 | 27 | | 37 | 37 | | 38 | 28 | | 39 | 43 | | 40 | 17 | | 41 | 42 | | 42 | 22 | | 43 | 30 | | 44 | 25 | | 45 | 30 | | 46 | 16 | | 47 | 33 | | 48 | 23 | | 49 | 9 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 284 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 338 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 284 | | ratio | 0 | | matches | (empty) | |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1743 | | adjectiveStacks | 2 | | stackExamples | | 0 | "heavy, syrup-warm breath" | | 1 | "growing hot against her" |
| | adverbCount | 36 | | adverbRatio | 0.020654044750430294 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0017211703958691911 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 284 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 284 | | mean | 6.1 | | std | 3.73 | | cv | 0.611 | | sampleLengths | | 0 | 13 | | 1 | 10 | | 2 | 15 | | 3 | 6 | | 4 | 13 | | 5 | 7 | | 6 | 4 | | 7 | 6 | | 8 | 6 | | 9 | 10 | | 10 | 5 | | 11 | 11 | | 12 | 8 | | 13 | 3 | | 14 | 6 | | 15 | 8 | | 16 | 9 | | 17 | 4 | | 18 | 14 | | 19 | 3 | | 20 | 11 | | 21 | 8 | | 22 | 5 | | 23 | 6 | | 24 | 11 | | 25 | 3 | | 26 | 11 | | 27 | 12 | | 28 | 15 | | 29 | 6 | | 30 | 12 | | 31 | 2 | | 32 | 13 | | 33 | 5 | | 34 | 5 | | 35 | 5 | | 36 | 7 | | 37 | 16 | | 38 | 3 | | 39 | 18 | | 40 | 3 | | 41 | 6 | | 42 | 7 | | 43 | 5 | | 44 | 8 | | 45 | 7 | | 46 | 1 | | 47 | 3 | | 48 | 5 | | 49 | 13 |
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| 53.05% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.352112676056338 | | totalSentences | 284 | | uniqueOpeners | 100 | |
| 39.06% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 256 | | matches | | 0 | "Just a ceiling of honeyed" | | 1 | "Then turn left." | | 2 | "Then let it rise." |
| | ratio | 0.012 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 53 | | totalSentences | 256 | | matches | | 0 | "She paused at the tree" | | 1 | "Her feet brushed the soil" | | 2 | "I taste copper and burnt" | | 3 | "She slid it free." | | 4 | "She reached out." | | 5 | "It gives until you forget" | | 6 | "They ran a dark finger" | | 7 | "She traced a line where" | | 8 | "They chose this?" | | 9 | "They signed paper." | | 10 | "She followed Isolde down a" | | 11 | "It crumbled to ash in" | | 12 | "We patch it." | | 13 | "She leaned over it." | | 14 | "Her reflection showed a younger" | | 15 | "Her own face stared back," | | 16 | "She stepped back." | | 17 | "She pressed her back against" | | 18 | "I told you the casks" | | 19 | "My hands are split to" |
| | ratio | 0.207 | |
| 53.75% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 208 | | totalSentences | 256 | | matches | | 0 | "The oak trunks arched overhead," | | 1 | "Rory’s boots sank into moss" | | 2 | "The Heartstone pendant against her" | | 3 | "She paused at the tree" | | 4 | "The air ahead shimmered, a" | | 5 | "The Veil hung thin as" | | 6 | "Isolde’s voice drifted from the" | | 7 | "Her feet brushed the soil" | | 8 | "The boundary hates heavy things." | | 9 | "Nyx peeled away from Rory’s" | | 10 | "Violet light bled from where" | | 11 | "The tear widens." | | 12 | "I taste copper and burnt" | | 13 | "Rory unclasped the Fae-forged blade" | | 14 | "Moonsilver bit into her palm," | | 15 | "She slid it free." | | 16 | "The edge caught the dim" | | 17 | "Isolde parted a curtain of" | | 18 | "Rory pressed two fingers against" | | 19 | "Heat swallowed her." |
| | ratio | 0.813 | |
| 19.53% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 256 | | matches | | 0 | "Before the park rangers notice" |
| | ratio | 0.004 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 3 | | matches | | 0 | "The oak trunks arched overhead, bark carved with spirals that drank the dusk." | | 1 | "The Heartstone pendant against her collarbone flared warm, a steady thrum that matched her pulse." | | 2 | "The skin of a plum-sized orb yielded under her thumb, weeping nectar that smelled of caramel and iron." |
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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 | |