| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 83.48% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1211 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "really" | | 1 | "slightly" | | 2 | "slowly" |
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| 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) | |
| 38.07% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1211 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "whisper" | | 1 | "warmth" | | 2 | "pulsed" | | 3 | "chill" | | 4 | "shimmered" | | 5 | "echo" | | 6 | "pulse" | | 7 | "sentinels" | | 8 | "throb" | | 9 | "perfect" | | 10 | "lilt" | | 11 | "familiar" | | 12 | "trembled" | | 13 | "footsteps" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "let out a breath" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 209 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 209 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 216 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 11 | | markdownWords | 35 | | totalWords | 1191 | | ratio | 0.029 | | matches | | 0 | "They’re lying about the trees. Come to the grove. Before they close the way." | | 1 | "was" | | 2 | "From one who remembers. Keep it close. It knows when they’re near." | | 3 | "Above." | | 4 | "watching." | | 5 | "it." | | 6 | "Unfurled." | | 7 | "hurt" | | 8 | "taken" | | 9 | "summoning." | | 10 | "breathe." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 1143 | | uniqueNames | 15 | | maxNameDensity | 0.79 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Fae | 1 | | Grove | 1 | | Heartstone | 2 | | Pendant | 2 | | Earth | 1 | | Eva | 4 | | Richmond | 1 | | Park | 1 | | Yu | 1 | | Fei | 1 | | December | 1 | | Limbs | 1 | | Cardiff | 1 | | Rory | 9 | | Time | 3 |
| | persons | | 0 | "Pendant" | | 1 | "Eva" | | 2 | "Fei" | | 3 | "Limbs" | | 4 | "Rory" |
| | places | | 0 | "Fae" | | 1 | "Grove" | | 2 | "Earth" | | 3 | "Richmond" | | 4 | "Park" | | 5 | "December" | | 6 | "Cardiff" | | 7 | "Time" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like woven bark and shadow" |
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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 | 1191 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 216 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 85 | | mean | 14.01 | | std | 17.68 | | cv | 1.262 | | sampleLengths | | 0 | 65 | | 1 | 79 | | 2 | 27 | | 3 | 64 | | 4 | 14 | | 5 | 2 | | 6 | 12 | | 7 | 2 | | 8 | 53 | | 9 | 11 | | 10 | 15 | | 11 | 67 | | 12 | 3 | | 13 | 39 | | 14 | 6 | | 15 | 19 | | 16 | 4 | | 17 | 4 | | 18 | 68 | | 19 | 4 | | 20 | 17 | | 21 | 12 | | 22 | 11 | | 23 | 2 | | 24 | 6 | | 25 | 2 | | 26 | 1 | | 27 | 15 | | 28 | 5 | | 29 | 4 | | 30 | 53 | | 31 | 3 | | 32 | 3 | | 33 | 5 | | 34 | 12 | | 35 | 5 | | 36 | 7 | | 37 | 4 | | 38 | 39 | | 39 | 4 | | 40 | 4 | | 41 | 3 | | 42 | 54 | | 43 | 3 | | 44 | 25 | | 45 | 9 | | 46 | 1 | | 47 | 5 | | 48 | 1 | | 49 | 15 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 209 | | matches | | 0 | "been told" | | 1 | "been pressed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 206 | | matches | | 0 | "weren’t facing" | | 1 | "were facing" | | 2 | "was doing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 19 | | semicolonCount | 0 | | flaggedSentences | 14 | | totalSentences | 216 | | ratio | 0.065 | | matches | | 0 | "A whisper of warmth pulsed against her skin—just once—then faded." | | 1 | "She’d felt it before—once, when she’d come chasing Eva’s ghost of a message scribbled on a napkin: *They’re lying about the trees." | | 2 | "She adjusted the strap of her satchel—Yu-Fei’s old delivery bag, still marked with the faded red dragon—and stepped forward." | | 3 | "Her flashlight caught the next standing stone—ancient oak, wider than a car, its surface carved with marks that didn’t exist in any language she’d studied." | | 4 | "But sometimes, in dreams, she saw a hand—long fingers, bark-like skin—pressing something cold into her palm." | | 5 | "The face was human-shaped, but wrong—too long, eyes sunken too deep, lips pulled back from small, needle-teeth." | | 6 | "The beam swept the clearing—empty." | | 7 | "Then—laughter again." | | 8 | "The bluebells chimed—a sound like distant glass, thin and wrong." | | 9 | "But its mouth opened—wide, too wide—and let out a breath that wasn’t breath." | | 10 | "The light seemed to irritate it—its head twitched, skin rippling." | | 11 | "And in its palm—a small, familiar object." | | 12 | "Then looked up—toward the shimmering sky." | | 13 | "And beneath it all—footsteps." |
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| 96.11% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1170 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 52 | | adverbRatio | 0.044444444444444446 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.008547008547008548 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 216 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 216 | | mean | 5.51 | | std | 4.93 | | cv | 0.893 | | sampleLengths | | 0 | 8 | | 1 | 2 | | 2 | 12 | | 3 | 21 | | 4 | 12 | | 5 | 10 | | 6 | 4 | | 7 | 6 | | 8 | 9 | | 9 | 2 | | 10 | 24 | | 11 | 3 | | 12 | 22 | | 13 | 4 | | 14 | 5 | | 15 | 5 | | 16 | 3 | | 17 | 3 | | 18 | 11 | | 19 | 5 | | 20 | 19 | | 21 | 34 | | 22 | 6 | | 23 | 3 | | 24 | 2 | | 25 | 2 | | 26 | 1 | | 27 | 5 | | 28 | 2 | | 29 | 4 | | 30 | 2 | | 31 | 5 | | 32 | 7 | | 33 | 2 | | 34 | 7 | | 35 | 1 | | 36 | 19 | | 37 | 9 | | 38 | 2 | | 39 | 4 | | 40 | 3 | | 41 | 8 | | 42 | 4 | | 43 | 5 | | 44 | 2 | | 45 | 6 | | 46 | 4 | | 47 | 5 | | 48 | 8 | | 49 | 25 |
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| 46.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 22 | | diversityRatio | 0.33796296296296297 | | totalSentences | 216 | | uniqueOpeners | 73 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 8 | | totalSentences | 151 | | matches | | 0 | "Just tangled ferns and a" | | 1 | "Then she forced it out." | | 2 | "Just two pits, reflecting the" | | 3 | "Instead, the flowers moved." | | 4 | "Then, from the edge of" | | 5 | "Then Eva’s voice, from the" | | 6 | "Then, slowly, it raised a" | | 7 | "Then looked up—toward the shimmering" |
| | ratio | 0.053 | |
| 87.55% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 50 | | totalSentences | 151 | | matches | | 0 | "It hung, thick and cloying," | | 1 | "She exhaled, slow, controlled." | | 2 | "Her breath caught in the" | | 3 | "It shimmered, translucent like oil" | | 4 | "She’d felt it before—once, when" | | 5 | "She adjusted the strap of" | | 6 | "Her torch beam cut a" | | 7 | "They weren’t supposed to grow" | | 8 | "Her voice didn’t echo" | | 9 | "It died fast, absorbed by" | | 10 | "She turned the beam toward" | | 11 | "It was movement." | | 12 | "She touched it through her" | | 13 | "She moved deeper, boots crunching" | | 14 | "Her flashlight caught the next" | | 15 | "She remembered the word from" | | 16 | "It knows when they’re near.*" | | 17 | "She rubbed it." | | 18 | "It wasn’t a stone." | | 19 | "It was a face." |
| | ratio | 0.331 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 104 | | totalSentences | 151 | | matches | | 0 | "The air in The Fae" | | 1 | "It hung, thick and cloying," | | 2 | "Aurora stepped over the moss-cushioned" | | 3 | "The silver chain of the" | | 4 | "A whisper of warmth pulsed" | | 5 | "She exhaled, slow, controlled." | | 6 | "Her breath caught in the" | | 7 | "The sky above the grove" | | 8 | "It shimmered, translucent like oil" | | 9 | "She’d felt it before—once, when" | | 10 | "That was three days ago." | | 11 | "Rory couldn’t say." | | 12 | "She adjusted the strap of" | | 13 | "Her torch beam cut a" | | 14 | "They weren’t supposed to grow" | | 15 | "A rustle in the undergrowth." | | 16 | "Her voice didn’t echo" | | 17 | "It died fast, absorbed by" | | 18 | "She turned the beam toward" | | 19 | "Moss clung to its exposed" |
| | ratio | 0.689 | |
| 33.11% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 151 | | matches | | 0 | "Before they close the way.*" |
| | ratio | 0.007 | |
| 89.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 2 | | matches | | 0 | "Her torch beam cut a narrow cone through the heavy dark, illuminating wildflowers that bloomed in impossible clusters: white foxgloves in December, scarlet popp…" | | 1 | "Her flashlight caught the next standing stone—ancient oak, wider than a car, its surface carved with marks that didn’t exist in any language she’d studied." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, voice steady" |
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| 7.14% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 14 | | tagDensity | 0.357 | | leniency | 0.714 | | rawRatio | 0.4 | | effectiveRatio | 0.286 | |