| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.35% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 939 | | 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) | |
| 14.80% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 939 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "silence" | | 2 | "weight" | | 3 | "echo" | | 4 | "oppressive" | | 5 | "velvet" | | 6 | "complex" | | 7 | "pulsed" | | 8 | "warmth" | | 9 | "vibrated" | | 10 | "predator" | | 11 | "whisper" | | 12 | "raced" | | 13 | "shattered" | | 14 | "depths" |
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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 | 93 | | matches | (empty) | |
| 96.77% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 93 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 98 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 6 | | totalWords | 939 | | ratio | 0.006 | | matches | | 0 | "Slap. Slide. Slap." | | 1 | "Click-clack." | | 2 | "Sssshhh." | | 3 | "slap-slide" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 95.47% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 917 | | uniqueNames | 8 | | maxNameDensity | 1.09 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 3 | | Golden | 1 | | Empress | 1 | | Richmond | 1 | | Park | 1 | | Fae | 1 | | Grove | 1 | | Rory | 10 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Fae" | | 3 | "Grove" |
| | globalScore | 0.955 | | windowScore | 1 | |
| 30.95% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 3 | | matches | | 0 | "patterns that seemed to writhe if she looked at them too long" | | 1 | "felt like a living thing trying to tear" | | 2 | "felt like wet parchment" |
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| 93.50% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.065 | | wordCount | 939 | | matches | | 0 | "Not with the wind, but toward her" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 98 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 25.38 | | std | 17.88 | | cv | 0.704 | | sampleLengths | | 0 | 62 | | 1 | 29 | | 2 | 59 | | 3 | 23 | | 4 | 1 | | 5 | 9 | | 6 | 41 | | 7 | 15 | | 8 | 42 | | 9 | 1 | | 10 | 40 | | 11 | 6 | | 12 | 19 | | 13 | 26 | | 14 | 47 | | 15 | 1 | | 16 | 20 | | 17 | 27 | | 18 | 47 | | 19 | 2 | | 20 | 4 | | 21 | 47 | | 22 | 16 | | 23 | 2 | | 24 | 27 | | 25 | 6 | | 26 | 47 | | 27 | 10 | | 28 | 34 | | 29 | 34 | | 30 | 47 | | 31 | 9 | | 32 | 14 | | 33 | 21 | | 34 | 36 | | 35 | 17 | | 36 | 51 |
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| 93.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 93 | | matches | | 0 | "were interlaced" | | 1 | "was illuminated" | | 2 | "were fused" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 147 | | matches | | 0 | "was screaming" | | 1 | "was reacting" | | 2 | "wasn't warning" | | 3 | "was circling" | | 4 | "weren't standing" | | 5 | "was rotting" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 98 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 918 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.027233115468409588 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.00980392156862745 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 98 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 98 | | mean | 9.58 | | std | 7.06 | | cv | 0.737 | | sampleLengths | | 0 | 12 | | 1 | 18 | | 2 | 32 | | 3 | 3 | | 4 | 11 | | 5 | 15 | | 6 | 3 | | 7 | 17 | | 8 | 19 | | 9 | 20 | | 10 | 2 | | 11 | 18 | | 12 | 3 | | 13 | 1 | | 14 | 4 | | 15 | 5 | | 16 | 6 | | 17 | 11 | | 18 | 19 | | 19 | 2 | | 20 | 3 | | 21 | 12 | | 22 | 1 | | 23 | 1 | | 24 | 1 | | 25 | 3 | | 26 | 1 | | 27 | 15 | | 28 | 23 | | 29 | 1 | | 30 | 5 | | 31 | 7 | | 32 | 13 | | 33 | 2 | | 34 | 13 | | 35 | 6 | | 36 | 13 | | 37 | 6 | | 38 | 3 | | 39 | 9 | | 40 | 12 | | 41 | 2 | | 42 | 24 | | 43 | 7 | | 44 | 16 | | 45 | 1 | | 46 | 12 | | 47 | 8 | | 48 | 2 | | 49 | 3 |
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| 42.52% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3163265306122449 | | totalSentences | 98 | | uniqueOpeners | 31 | |
| 82.30% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 81 | | matches | | 0 | "Just the pale, ghostly light" | | 1 | "Pale, translucent figures with elongated" |
| | ratio | 0.025 | |
| 91.60% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 81 | | matches | | 0 | "She didn't know why the" | | 1 | "She pushed through a final," | | 2 | "They shouldn't have been blooming" | | 3 | "She gripped the silver chain" | | 4 | "She looked back at the" | | 5 | "She took a step toward" | | 6 | "She looked up, squinting into" | | 7 | "she whispered, the absurdity of" | | 8 | "It wasn't warning her of" | | 9 | "She turned toward the largest" | | 10 | "It came from the ground" | | 11 | "She looked down." | | 12 | "She stepped faster, her pace" | | 13 | "It was circling her, staying" | | 14 | "She hit the mossy ground" | | 15 | "It had come from directly" | | 16 | "It was a thin, reedy" | | 17 | "She scrambled backward on her" | | 18 | "They weren't standing in the" | | 19 | "They were part of it." |
| | ratio | 0.321 | |
| 34.07% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 81 | | matches | | 0 | "Rory scrambled through the dense" | | 1 | "The Heartstone pendant burned against" | | 2 | "She didn't know why the" | | 3 | "The trees shifted." | | 4 | "The air grew thick, tasting" | | 5 | "She pushed through a final," | | 6 | "The clearing breathed." | | 7 | "They shouldn't have been blooming" | | 8 | "The silence here wasn't a" | | 9 | "She gripped the silver chain" | | 10 | "A nervous habit." | | 11 | "The word didn't echo." | | 12 | "The grove swallowed it whole." | | 13 | "She looked back at the" | | 14 | "The path she had just" | | 15 | "A soft, wet sound drifted" | | 16 | "Rory spun around." | | 17 | "She took a step toward" | | 18 | "The sound came from above." | | 19 | "She looked up, squinting into" |
| | ratio | 0.852 | |
| 61.73% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 81 | | matches | | 0 | "Whenever she whipped her head" |
| | ratio | 0.012 | |
| 90.59% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 3 | | matches | | 0 | "The Heartstone pendant burned against her skin, a frantic, rhythmic heat that mirrored the hammering of her heart." | | 1 | "Great, gnarled oak standing stones circled a patch of wildflowers that glowed with a sickly, iridescent light." | | 2 | "The bag connected with something that felt like wet parchment." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 1 | | matches | | 0 | "she whispered, the absurdity of the statement grounding her" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "the reedy voice whispered (whisper)" |
| | dialogueSentences | 8 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.667 | | effectiveRatio | 0.5 | |