| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 1 | | adverbTags | | 0 | "Her voice sounded too [too]" |
| | dialogueSentences | 6 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.333 | | effectiveRatio | 0.333 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 687 | | 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) | |
| 12.66% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 687 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "weight" | | 1 | "loomed" | | 2 | "pulsed" | | 3 | "chill" | | 4 | "pulse" | | 5 | "whisper" | | 6 | "silence" | | 7 | "scanning" | | 8 | "wavering" | | 9 | "glinting" |
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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 | 89 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 89 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 92 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 15 | | totalWords | 680 | | ratio | 0.022 | | matches | | 0 | "Meet me at the Grove. Something’s wrong." | | 1 | "\"Rory...\"" | | 2 | "Meet me at the Grove. Something’s wrong." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 67.29% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 665 | | uniqueNames | 7 | | maxNameDensity | 1.65 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 1 | | Pendant | 1 | | Rory | 11 | | Park | 1 | | Eva | 4 | | Grove | 3 | | Good | 1 |
| | persons | | | places | | | globalScore | 0.673 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | 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 | 680 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 92 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 24.29 | | std | 21.45 | | cv | 0.883 | | sampleLengths | | 0 | 87 | | 1 | 72 | | 2 | 12 | | 3 | 30 | | 4 | 3 | | 5 | 47 | | 6 | 4 | | 7 | 21 | | 8 | 19 | | 9 | 43 | | 10 | 7 | | 11 | 10 | | 12 | 7 | | 13 | 46 | | 14 | 3 | | 15 | 30 | | 16 | 9 | | 17 | 46 | | 18 | 17 | | 19 | 38 | | 20 | 4 | | 21 | 40 | | 22 | 38 | | 23 | 7 | | 24 | 8 | | 25 | 16 | | 26 | 9 | | 27 | 7 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 89 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 117 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 92 | | ratio | 0.076 | | matches | | 0 | "Richmond Park should’ve been quiet at this hour—just the rustle of leaves, the distant hum of the city—but the air here hummed with something else." | | 1 | "But Eva had texted her an hour ago—*Meet me at the Grove." | | 2 | "Something’s wrong.*—and Rory had come without hesitation." | | 3 | "The air smelled different—coppery, like old blood." | | 4 | "The heat spread, crawling up her throat, into her jaw—" | | 5 | "The face—if it was a face—was a smear of darkness, save for two pinpricks of light where eyes should’ve been." | | 6 | "The thing didn’t breathe, didn’t pant—just followed, silent and relentless." |
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| 87.33% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 672 | | adjectiveStacks | 1 | | stackExamples | | 0 | "lay heavy against Rory’s" |
| | adverbCount | 32 | | adverbRatio | 0.047619047619047616 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.002976190476190476 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 92 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 92 | | mean | 7.39 | | std | 5.08 | | cv | 0.687 | | sampleLengths | | 0 | 20 | | 1 | 18 | | 2 | 16 | | 3 | 25 | | 4 | 8 | | 5 | 10 | | 6 | 13 | | 7 | 10 | | 8 | 9 | | 9 | 6 | | 10 | 3 | | 11 | 2 | | 12 | 12 | | 13 | 7 | | 14 | 8 | | 15 | 4 | | 16 | 17 | | 17 | 8 | | 18 | 5 | | 19 | 3 | | 20 | 4 | | 21 | 1 | | 22 | 11 | | 23 | 12 | | 24 | 10 | | 25 | 9 | | 26 | 4 | | 27 | 1 | | 28 | 1 | | 29 | 7 | | 30 | 6 | | 31 | 6 | | 32 | 4 | | 33 | 4 | | 34 | 9 | | 35 | 1 | | 36 | 1 | | 37 | 9 | | 38 | 4 | | 39 | 8 | | 40 | 7 | | 41 | 6 | | 42 | 2 | | 43 | 7 | | 44 | 6 | | 45 | 1 | | 46 | 9 | | 47 | 1 | | 48 | 3 | | 49 | 4 |
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| 47.83% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.32608695652173914 | | totalSentences | 92 | | uniqueOpeners | 30 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 72 | | matches | | 0 | "Just the sway of branches," | | 1 | "Then the laughter came." | | 2 | "Then the sound of something" | | 3 | "Then it stopped." | | 4 | "Only then did she dare" |
| | ratio | 0.069 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 72 | | matches | | 0 | "She adjusted the strap of" | | 1 | "She stepped past the boundary," | | 2 | "She wasn’t supposed to be" | | 3 | "Her voice sounded too loud," | | 4 | "She spun, heart hammering." | | 5 | "She tugged it free, the" | | 6 | "She stumbled, righted herself." | | 7 | "She turned, scanning the tree" | | 8 | "Her voice didn’t waver" | | 9 | "Her breath hitched." | | 10 | "She hissed, dropping it, but" | | 11 | "She clawed at it, fingers" | | 12 | "Its limbs bent at wrong" | | 13 | "She took a step back." | | 14 | "She burst through the standing" | | 15 | "She didn’t stop running until" |
| | ratio | 0.222 | |
| 64.17% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 72 | | matches | | 0 | "The Heartstone Pendant lay heavy" | | 1 | "She adjusted the strap of" | | 2 | "The standing stones loomed ahead," | | 3 | "Richmond Park should’ve been quiet" | | 4 | "Something that prickled the back" | | 5 | "She stepped past the boundary," | | 6 | "The temperature dropped, the scent" | | 7 | "The pendant pulsed once, warm" | | 8 | "Rory exhaled, her breath fogging" | | 9 | "She wasn’t supposed to be" | | 10 | "Something’s wrong.*—and Rory had come" | | 11 | "The clearing opened ahead, bathed" | | 12 | "Rory’s boots sank into the" | | 13 | "Her voice sounded too loud," | | 14 | "The trees swallowed it whole." | | 15 | "A twig snapped." | | 16 | "She spun, heart hammering." | | 17 | "She tugged it free, the" | | 18 | "The glow pulsed, slow and" | | 19 | "A child’s giggle, skittering through" |
| | ratio | 0.792 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 72 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 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 | 6 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0 | | effectiveRatio | 0 | |