| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 35 | | tagDensity | 0.457 | | leniency | 0.914 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2215 | | 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) | |
| 72.91% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2215 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "pulse" | | 1 | "weight" | | 2 | "flickered" | | 3 | "footsteps" | | 4 | "trembled" | | 5 | "silence" | | 6 | "scanned" | | 7 | "crystal" | | 8 | "pulsed" |
| |
| 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 | 206 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 206 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 225 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 23 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2215 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 80.97% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 73 | | wordCount | 2028 | | uniqueNames | 9 | | maxNameDensity | 1.38 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 1 | | Rory | 28 | | Nyx | 17 | | Earth | 1 | | Isolde | 11 | | Shadow | 4 | | Moonsilver | 3 | | Light | 5 | | Juice | 3 |
| | persons | | 0 | "Rory" | | 1 | "Nyx" | | 2 | "Isolde" | | 3 | "Moonsilver" | | 4 | "Light" | | 5 | "Juice" |
| | places | | | globalScore | 0.81 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 170 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 2215 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 225 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 70 | | mean | 31.64 | | std | 22.47 | | cv | 0.71 | | sampleLengths | | 0 | 44 | | 1 | 49 | | 2 | 3 | | 3 | 51 | | 4 | 55 | | 5 | 53 | | 6 | 7 | | 7 | 10 | | 8 | 2 | | 9 | 50 | | 10 | 13 | | 11 | 9 | | 12 | 9 | | 13 | 46 | | 14 | 69 | | 15 | 8 | | 16 | 4 | | 17 | 31 | | 18 | 6 | | 19 | 48 | | 20 | 79 | | 21 | 22 | | 22 | 30 | | 23 | 32 | | 24 | 8 | | 25 | 8 | | 26 | 40 | | 27 | 34 | | 28 | 21 | | 29 | 6 | | 30 | 69 | | 31 | 5 | | 32 | 3 | | 33 | 5 | | 34 | 49 | | 35 | 71 | | 36 | 22 | | 37 | 11 | | 38 | 51 | | 39 | 39 | | 40 | 59 | | 41 | 27 | | 42 | 17 | | 43 | 13 | | 44 | 75 | | 45 | 39 | | 46 | 45 | | 47 | 4 | | 48 | 11 | | 49 | 44 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 206 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 326 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 225 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 2028 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.009368836291913214 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 225 | | echoCount | 0 | | echoWords | (empty) | |
| 96.54% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 225 | | mean | 9.84 | | std | 3.85 | | cv | 0.391 | | sampleLengths | | 0 | 13 | | 1 | 6 | | 2 | 13 | | 3 | 12 | | 4 | 12 | | 5 | 15 | | 6 | 13 | | 7 | 9 | | 8 | 3 | | 9 | 12 | | 10 | 9 | | 11 | 15 | | 12 | 15 | | 13 | 7 | | 14 | 5 | | 15 | 12 | | 16 | 11 | | 17 | 20 | | 18 | 7 | | 19 | 20 | | 20 | 13 | | 21 | 13 | | 22 | 7 | | 23 | 4 | | 24 | 6 | | 25 | 2 | | 26 | 9 | | 27 | 9 | | 28 | 9 | | 29 | 23 | | 30 | 13 | | 31 | 4 | | 32 | 5 | | 33 | 9 | | 34 | 7 | | 35 | 9 | | 36 | 16 | | 37 | 14 | | 38 | 6 | | 39 | 11 | | 40 | 9 | | 41 | 18 | | 42 | 14 | | 43 | 11 | | 44 | 8 | | 45 | 4 | | 46 | 9 | | 47 | 11 | | 48 | 7 | | 49 | 4 |
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| 52.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.3466666666666667 | | totalSentences | 225 | | uniqueOpeners | 78 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 191 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 191 | | matches | | 0 | "Her boots met ground that" | | 1 | "His form flickered at the" | | 2 | "Her feet left no print" | | 3 | "She pressed a palm flat" | | 4 | "She walked between the first" | | 5 | "She kicked the grape and" | | 6 | "She ducked and laughed through" | | 7 | "She moved toward the sound" | | 8 | "She lifted the knife and" | | 9 | "She set the knife back" | | 10 | "His shadow stretched past his" | | 11 | "His shape poured out of" | | 12 | "He dipped two fingers into" | | 13 | "He stepped into his own" | | 14 | "He rose from the dirt" | | 15 | "Her face reflected back with" | | 16 | "She lifted one grape out" | | 17 | "She spread her fingers and" | | 18 | "She drew the fae blade" | | 19 | "She slid the point under" |
| | ratio | 0.178 | |
| 1.88% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 175 | | totalSentences | 191 | | matches | | 0 | "Nyx hauled shadow from the" | | 1 | "Rory lifted a hand toward" | | 2 | "Heat breathed through the gap" | | 3 | "Isolde stepped beside her and" | | 4 | "Moonsilver caught light from the" | | 5 | "The Heartstone at Rory's throat" | | 6 | "Each knock matched a pulse" | | 7 | "Rory tucked black hair behind" | | 8 | "Her boots met ground that" | | 9 | "The seam sealed behind her" | | 10 | "The sky hung amber end" | | 11 | "Light came from the sky" | | 12 | "Heat pressed on Rory's skin" | | 13 | "Vines stretched across the land" | | 14 | "Nyx came through the seam" | | 15 | "Shadow poured from his shoulders" | | 16 | "Arms and legs followed and" | | 17 | "His form flickered at the" | | 18 | "Rory turned her head." | | 19 | "Isolde stepped through last and" |
| | ratio | 0.916 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 191 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 113 | | technicalSentenceCount | 1 | | matches | | 0 | "Her boots met ground that gave under her weight like damp earth over a hollow." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 16 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 35 | | tagDensity | 0.457 | | leniency | 0.914 | | rawRatio | 0 | | effectiveRatio | 0 | |