| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 3 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.86% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 986 | | totalAiIsmAdverbs | 2 | | 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) | |
| 23.94% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 986 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "weight" | | 1 | "loomed" | | 2 | "pulsed" | | 3 | "warmth" | | 4 | "perfect" | | 5 | "silence" | | 6 | "whisper" | | 7 | "stomach" | | 8 | "pulse" | | 9 | "vibrated" | | 10 | "searing" |
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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 | 116 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 116 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 116 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 23 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 6 | | markdownWords | 12 | | totalWords | 971 | | ratio | 0.012 | | matches | | 0 | "special order, very important, must be tonight" | | 1 | "watched" | | 2 | "moved" | | 3 | "unfolded" | | 4 | "hum" | | 5 | "laughed" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 87.04% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 953 | | uniqueNames | 8 | | maxNameDensity | 1.26 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 7 | | Pendant | 1 | | Rory | 12 | | Park | 2 | | Yu-Fei | 2 | | Eva | 1 | | Good | 1 | | Richmond | 2 |
| | persons | | 0 | "Heartstone" | | 1 | "Rory" | | 2 | "Yu-Fei" | | 3 | "Eva" |
| | places | | | globalScore | 0.87 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 73 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 971 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 116 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 23.68 | | std | 18.45 | | cv | 0.779 | | sampleLengths | | 0 | 69 | | 1 | 68 | | 2 | 18 | | 3 | 54 | | 4 | 10 | | 5 | 10 | | 6 | 62 | | 7 | 3 | | 8 | 26 | | 9 | 38 | | 10 | 1 | | 11 | 36 | | 12 | 11 | | 13 | 3 | | 14 | 12 | | 15 | 4 | | 16 | 35 | | 17 | 36 | | 18 | 7 | | 19 | 32 | | 20 | 22 | | 21 | 7 | | 22 | 3 | | 23 | 52 | | 24 | 32 | | 25 | 10 | | 26 | 43 | | 27 | 15 | | 28 | 4 | | 29 | 25 | | 30 | 6 | | 31 | 28 | | 32 | 22 | | 33 | 31 | | 34 | 30 | | 35 | 3 | | 36 | 37 | | 37 | 30 | | 38 | 12 | | 39 | 9 | | 40 | 15 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 116 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 156 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 116 | | ratio | 0.06 | | matches | | 0 | "But Yu-Fei had been insistent—*special order, very important, must be tonight*—and Rory needed the extra cash." | | 1 | "Just the rustle of leaves—too loud, too deliberate." | | 2 | "Her fingers brushed the pocketknife she kept on her keychain—useless, but better than nothing." | | 3 | "It didn’t move, didn’t breathe—just *watched*." | | 4 | "Its face—if it could be called a face—was a smooth, featureless plane, save for a slit where a mouth should be." | | 5 | "A hand—cold, skeletal—closed around her ankle." | | 6 | "A sound tore through the grove—a deep, resonant *hum*, like a thousand voices singing in unison." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 341 | | adjectiveStacks | 1 | | stackExamples | | 0 | "lay heavy against Rory’s" |
| | adverbCount | 8 | | adverbRatio | 0.02346041055718475 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.002932551319648094 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 116 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 116 | | mean | 8.37 | | std | 5.26 | | cv | 0.628 | | sampleLengths | | 0 | 19 | | 1 | 19 | | 2 | 14 | | 3 | 17 | | 4 | 4 | | 5 | 4 | | 6 | 21 | | 7 | 16 | | 8 | 23 | | 9 | 4 | | 10 | 5 | | 11 | 9 | | 12 | 13 | | 13 | 15 | | 14 | 14 | | 15 | 12 | | 16 | 10 | | 17 | 2 | | 18 | 8 | | 19 | 10 | | 20 | 16 | | 21 | 20 | | 22 | 16 | | 23 | 3 | | 24 | 4 | | 25 | 13 | | 26 | 2 | | 27 | 7 | | 28 | 10 | | 29 | 21 | | 30 | 7 | | 31 | 1 | | 32 | 10 | | 33 | 14 | | 34 | 12 | | 35 | 2 | | 36 | 6 | | 37 | 3 | | 38 | 3 | | 39 | 4 | | 40 | 8 | | 41 | 4 | | 42 | 7 | | 43 | 1 | | 44 | 2 | | 45 | 10 | | 46 | 6 | | 47 | 9 | | 48 | 6 | | 49 | 10 |
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| 36.21% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.2672413793103448 | | totalSentences | 116 | | uniqueOpeners | 31 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 103 | | matches | | 0 | "Too sweet, like rotting flowers." | | 1 | "Just the rustle of leaves—too" | | 2 | "Then she saw it." | | 3 | "Then it *moved*." |
| | ratio | 0.039 | |
| 99.61% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 103 | | matches | | 0 | "She adjusted the strap of" | | 1 | "She shouldn’t have come." | | 2 | "She wrinkled her nose and" | | 3 | "Her voice sounded thin, swallowed" | | 4 | "She arranged them in a" | | 5 | "she called, though she knew" | | 6 | "Her fingers brushed the pocketknife" | | 7 | "She turned slowly." | | 8 | "Its limbs bent at angles" | | 9 | "It didn’t move, didn’t breathe—just" | | 10 | "She forced herself to stand," | | 11 | "It didn’t need to." | | 12 | "Her voice didn’t shake" | | 13 | "She took another step back." | | 14 | "It *unfolded*, limbs stretching, elongating," | | 15 | "Its face—if it could be" | | 16 | "She stumbled, her heel catching" | | 17 | "It didn’t need to." | | 18 | "It was already between her" | | 19 | "She didn’t look back." |
| | ratio | 0.301 | |
| 23.11% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 90 | | totalSentences | 103 | | matches | | 0 | "The Heartstone Pendant lay heavy" | | 1 | "She adjusted the strap of" | | 2 | "The standing stones loomed ahead," | | 3 | "Richmond Park stretched empty around" | | 4 | "She shouldn’t have come." | | 5 | "The pendant’s warmth had flared" | | 6 | "The air smelled wrong." | | 7 | "She wrinkled her nose and" | | 8 | "The grove unfolded before her," | | 9 | "The last time she’d been" | | 10 | "The Heartstone’s glow intensified, casting" | | 11 | "Her voice sounded thin, swallowed" | | 12 | "Rory exhaled through her nose" | | 13 | "The containers inside were still" | | 14 | "She arranged them in a" | | 15 | "The scent of ginger and" | | 16 | "A twig snapped." | | 17 | "Rory’s head jerked up." | | 18 | "The sound had come from" | | 19 | "The shadows sat still, thick" |
| | ratio | 0.874 | |
| 48.54% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 103 | | matches | | 0 | "Now, the shadows stretched long" |
| | ratio | 0.01 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 2 | | matches | | 0 | "Its limbs bent at angles that made her stomach clench." | | 1 | "A low, clicking noise emanated from it, a sound that vibrated in her teeth." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 3 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |