| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 33 | | tagDensity | 0.364 | | leniency | 0.727 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 78.04% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1366 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "softly" | | 1 | "perfectly" | | 2 | "utterly" | | 3 | "slightly" |
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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) | |
| 52.42% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1366 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "tracing" | | 1 | "familiar" | | 2 | "scanned" | | 3 | "crystalline" | | 4 | "resonated" | | 5 | "shimmered" | | 6 | "glint" | | 7 | "chill" | | 8 | "chaotic" | | 9 | "flawless" | | 10 | "resolved" | | 11 | "lilt" | | 12 | "pulsed" |
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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 | 86 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 86 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 105 | | 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 | 2 | | markdownWords | 2 | | totalWords | 1353 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 59.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 48 | | wordCount | 989 | | uniqueNames | 9 | | maxNameDensity | 1.82 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 18 | | Richmond | 1 | | Park | 1 | | Varga | 1 | | Isolde | 14 | | Half-Fae | 1 | | Heartstone | 2 | | Nyx | 8 | | Fae | 2 |
| | persons | | 0 | "Rory" | | 1 | "Varga" | | 2 | "Isolde" | | 3 | "Half-Fae" | | 4 | "Nyx" | | 5 | "Fae" |
| | places | | | globalScore | 0.59 | | windowScore | 0.667 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 73 | | glossingSentenceCount | 5 | | matches | | 0 | "felt like walking on a sponge" | | 1 | "looked like softly glowing fruit or perha" | | 2 | "as if looking through a hole in the world" | | 3 | "looked like liquid moonlight made solid" | | 4 | "as if listening to a distant voice" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.217 | | wordCount | 1353 | | matches | | 0 | "not the golden sky, but a field of stars, as if looking through a hole in the world" | | 1 | "not in her nature, but misdirection is" | | 2 | "not toward the portal they’d entered, but deeper into the grove" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 105 | | matches | (empty) | |
| 82.68% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 37.58 | | std | 16.51 | | cv | 0.439 | | sampleLengths | | 0 | 62 | | 1 | 58 | | 2 | 17 | | 3 | 15 | | 4 | 51 | | 5 | 43 | | 6 | 7 | | 7 | 71 | | 8 | 33 | | 9 | 63 | | 10 | 44 | | 11 | 31 | | 12 | 32 | | 13 | 27 | | 14 | 56 | | 15 | 28 | | 16 | 40 | | 17 | 66 | | 18 | 25 | | 19 | 27 | | 20 | 26 | | 21 | 51 | | 22 | 33 | | 23 | 14 | | 24 | 26 | | 25 | 40 | | 26 | 51 | | 27 | 31 | | 28 | 39 | | 29 | 58 | | 30 | 32 | | 31 | 29 | | 32 | 24 | | 33 | 49 | | 34 | 6 | | 35 | 48 |
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| 97.10% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 86 | | matches | | 0 | "were hung" | | 1 | "were fixed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 155 | | matches | | |
| 88.44% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 105 | | ratio | 0.019 | | matches | | 0 | "Wildflowers in impossible colors—indigo, fiery orange, pearlescent white—bloomed in chaotic profusion, their petals flawless." | | 1 | "The alien beauty had context now—it was a borderland, a fragile place between." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1000 | | adjectiveStacks | 1 | | stackExamples | | 0 | "cool blue-white gleam." |
| | adverbCount | 28 | | adverbRatio | 0.028 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.011 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 105 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 105 | | mean | 12.89 | | std | 6.81 | | cv | 0.528 | | sampleLengths | | 0 | 20 | | 1 | 10 | | 2 | 17 | | 3 | 15 | | 4 | 10 | | 5 | 20 | | 6 | 8 | | 7 | 14 | | 8 | 6 | | 9 | 17 | | 10 | 15 | | 11 | 12 | | 12 | 23 | | 13 | 16 | | 14 | 13 | | 15 | 7 | | 16 | 23 | | 17 | 7 | | 18 | 4 | | 19 | 9 | | 20 | 16 | | 21 | 18 | | 22 | 14 | | 23 | 10 | | 24 | 25 | | 25 | 8 | | 26 | 10 | | 27 | 34 | | 28 | 11 | | 29 | 8 | | 30 | 23 | | 31 | 6 | | 32 | 15 | | 33 | 17 | | 34 | 14 | | 35 | 18 | | 36 | 14 | | 37 | 16 | | 38 | 11 | | 39 | 4 | | 40 | 18 | | 41 | 25 | | 42 | 9 | | 43 | 13 | | 44 | 15 | | 45 | 5 | | 46 | 11 | | 47 | 16 | | 48 | 8 | | 49 | 9 |
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| 53.65% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.3619047619047619 | | totalSentences | 105 | | uniqueOpeners | 38 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 83 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 83 | | matches | | 0 | "She glanced at her left" | | 1 | "Their faintly glowing violet eyes" | | 2 | "their voice whispered, a sound" | | 3 | "Her lavender eyes held a" | | 4 | "She gestured with a slender" | | 5 | "She stood on a carpet" | | 6 | "It was the sound of" | | 7 | "They moved deeper into the" | | 8 | "She was a trespasser in" | | 9 | "They were spheres of captured" | | 10 | "they whispered, the wind-like voice" | | 11 | "She moved, a glide more" | | 12 | "She dug with her hands," | | 13 | "Her fingers brushed something hard" | | 14 | "She cleared the soil, pulling" | | 15 | "It was a dagger." | | 16 | "It lay in her palm," | | 17 | "Her voice had lost some" | | 18 | "She looked from the blade" | | 19 | "she asked, her voice low" |
| | ratio | 0.241 | |
| 20.24% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 83 | | matches | | 0 | "The air in the grove" | | 1 | "Rory’s black hair clung to" | | 2 | "She glanced at her left" | | 3 | "Nyx stood beside her, a" | | 4 | "Their faintly glowing violet eyes" | | 5 | "their voice whispered, a sound" | | 6 | "Rory said, her own voice" | | 7 | "A chime, crystalline and pure," | | 8 | "The air between two of" | | 9 | "Isolde Varga stood just inside," | | 10 | "Her lavender eyes held a" | | 11 | "She gestured with a slender" | | 12 | "Rory took a breath and" | | 13 | "The change was immediate." | | 14 | "The air lost its chill," | | 15 | "The light was softer, golden," | | 16 | "She stood on a carpet" | | 17 | "Wildflowers in impossible colors—indigo, fiery" | | 18 | "Nyx flowed through the portal" | | 19 | "Rory moved forward, her trainers" |
| | ratio | 0.88 | |
| 60.24% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 83 | | matches | | 0 | "Before her, ancient oaks formed" |
| | ratio | 0.012 | |
| 61.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 5 | | matches | | 0 | "The air between two of the tallest oaks shimmered, a heat-haze distortion that solidified into a doorway of woven light and trailing ivy." | | 1 | "A bush nearby had leaves of beaten copper that chimed softly against each other in a non-existent breeze." | | 2 | "A pool of perfectly still water reflected not the golden sky, but a field of stars, as if looking through a hole in the world." | | 3 | "The blade was slender and leaf-shaped, crafted from a metal that looked like liquid moonlight made solid." | | 4 | "The melodic humming of the grove shifted, taking on a slightly discordant note, a minor key that hadn’t been there before." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 4 | | matches | | 0 | "Rory said, her own voice too loud in the quiet" | | 1 | "She gestured, and the invitation was clear" | | 2 | "Rory asked, her hand going to the silver chain at her neck" | | 3 | "she asked, her voice low" |
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| 59.09% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 3 | | fancyTags | | 0 | "their voice whispered (whisper)" | | 1 | "they whispered (whisper)" | | 2 | "Isolde corrected (correct)" |
| | dialogueSentences | 33 | | tagDensity | 0.242 | | leniency | 0.485 | | rawRatio | 0.375 | | effectiveRatio | 0.182 | |