| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.56% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 874 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 874 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "loomed" | | 1 | "perfect" | | 2 | "chill" | | 3 | "pulsed" | | 4 | "warmth" | | 5 | "pulse" | | 6 | "crystallized" | | 7 | "vibrated" | | 8 | "silence" | | 9 | "whisper" | | 10 | "trembled" | | 11 | "shimmered" |
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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) | |
| 30.50% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 6 | | narrationSentences | 89 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 97 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 866 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 81.25% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 800 | | uniqueNames | 10 | | maxNameDensity | 1.38 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Aurora | 1 | | Carter | 1 | | Fae | 1 | | Grove | 1 | | November | 1 | | Heartstone | 1 | | Pendant | 1 | | Tuesday | 1 | | Malphora | 1 | | Rory | 11 |
| | persons | | 0 | "Aurora" | | 1 | "Carter" | | 2 | "November" | | 3 | "Pendant" | | 4 | "Rory" |
| | places | | | globalScore | 0.813 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 1 | | matches | | 0 | "purples that seemed to shimmer with their own light" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 866 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 97 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 24.06 | | std | 16.86 | | cv | 0.701 | | sampleLengths | | 0 | 63 | | 1 | 78 | | 2 | 6 | | 3 | 47 | | 4 | 6 | | 5 | 39 | | 6 | 7 | | 7 | 32 | | 8 | 43 | | 9 | 24 | | 10 | 10 | | 11 | 13 | | 12 | 35 | | 13 | 19 | | 14 | 32 | | 15 | 33 | | 16 | 8 | | 17 | 18 | | 18 | 2 | | 19 | 27 | | 20 | 5 | | 21 | 2 | | 22 | 32 | | 23 | 28 | | 24 | 6 | | 25 | 17 | | 26 | 28 | | 27 | 29 | | 28 | 11 | | 29 | 30 | | 30 | 24 | | 31 | 3 | | 32 | 25 | | 33 | 38 | | 34 | 30 | | 35 | 16 |
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| 97.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 89 | | matches | | 0 | "being tilted" | | 1 | "being repeated" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 112 | | matches | | |
| 83.95% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 97 | | ratio | 0.021 | | matches | | 0 | "The air grew thick, heavy with the scent of ozone and something else—something ancient and wild, like petrichor and decay." | | 1 | "Rory could almost make out shapes within them—tall, slender beings with too-long limbs and eyes that caught the moonlight." |
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| 99.96% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 799 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.04005006257822278 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.007509386733416771 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 97 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 97 | | mean | 8.93 | | std | 5.89 | | cv | 0.659 | | sampleLengths | | 0 | 19 | | 1 | 19 | | 2 | 12 | | 3 | 2 | | 4 | 11 | | 5 | 15 | | 6 | 15 | | 7 | 19 | | 8 | 29 | | 9 | 6 | | 10 | 2 | | 11 | 7 | | 12 | 7 | | 13 | 5 | | 14 | 4 | | 15 | 17 | | 16 | 5 | | 17 | 6 | | 18 | 3 | | 19 | 6 | | 20 | 15 | | 21 | 15 | | 22 | 7 | | 23 | 3 | | 24 | 19 | | 25 | 10 | | 26 | 10 | | 27 | 12 | | 28 | 6 | | 29 | 15 | | 30 | 8 | | 31 | 10 | | 32 | 2 | | 33 | 2 | | 34 | 2 | | 35 | 10 | | 36 | 3 | | 37 | 5 | | 38 | 2 | | 39 | 2 | | 40 | 1 | | 41 | 14 | | 42 | 13 | | 43 | 8 | | 44 | 2 | | 45 | 5 | | 46 | 8 | | 47 | 2 | | 48 | 1 | | 49 | 1 |
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| 39.52% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.32989690721649484 | | totalSentences | 97 | | uniqueOpeners | 32 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 76 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 76 | | matches | | 0 | "Her breath fogged in the" | | 1 | "Her eyes darted through the" | | 2 | "She shouldn't be here." | | 3 | "She spun around." | | 4 | "Her pulse thudded against her" | | 5 | "she whispered to herself" | | 6 | "She pulled it from her" | | 7 | "Her voice sounded small in" | | 8 | "It seemed to come from" | | 9 | "Her voice shook" | | 10 | "Her hair stood on end." | | 11 | "Its smile revealed needle-thin teeth." | | 12 | "It gestured toward the shimmering" |
| | ratio | 0.171 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 70 | | totalSentences | 76 | | matches | | 0 | "The ancient oak standing stones" | | 1 | "The Fae Grove stretched before" | | 2 | "Her breath fogged in the" | | 3 | "Eva had sworn the pendant" | | 4 | "Rory tucked her hands deep" | | 5 | "The deep crimson gemstone pulsed" | | 6 | "The pendant had arrived in" | | 7 | "A twig snapped to her" | | 8 | "Her eyes darted through the" | | 9 | "Nothing but swaying grass and" | | 10 | "The park was technically closed." | | 11 | "She shouldn't be here." | | 12 | "Something was calling to it." | | 13 | "Another rustle, this time from" | | 14 | "She spun around." | | 15 | "Her pulse thudded against her" | | 16 | "The wildflowers seemed to lean" | | 17 | "Blues too deep, reds too" | | 18 | "she whispered to herself" | | 19 | "The temperature dropped." |
| | ratio | 0.921 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 76 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 1 | | matches | | 0 | "Rory could almost make out shapes within them—tall, slender beings with too-long limbs and eyes that caught the moonlight." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 7.14% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "the being repeated (be)" |
| | dialogueSentences | 14 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 1 | | effectiveRatio | 0.286 | |