| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 16 | | tagDensity | 0.313 | | leniency | 0.625 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.64% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 679 | | totalAiIsmAdverbs | 1 | | 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) | |
| 4.27% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 679 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "pulse" | | 1 | "unraveling" | | 2 | "shimmered" | | 3 | "quickened" | | 4 | "weight" | | 5 | "etched" | | 6 | "familiar" | | 7 | "trembled" | | 8 | "flicker" | | 9 | "racing" | | 10 | "whisper" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
| | 1 | | label | "weight of words/silence" | | count | 1 |
|
| | highlights | | 0 | "blood ran cold" | | 1 | "the weight of the moment" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 44 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 44 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 55 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 3 | | totalWords | 675 | | ratio | 0.004 | | matches | | 0 | "through" | | 1 | "given" | | 2 | "breathing" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 43.81% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 565 | | uniqueNames | 14 | | maxNameDensity | 2.12 | | worstName | "Aurora" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Aurora" | | discoveredNames | | Fae | 4 | | Grove | 3 | | Carter | 1 | | Heartstone | 1 | | Eva | 1 | | Veil | 2 | | Richmond | 1 | | Park | 1 | | Fae-Forged | 2 | | Blade | 2 | | Aurora | 12 | | Nyx | 5 | | Varga | 1 | | Isolde | 6 |
| | persons | | 0 | "Carter" | | 1 | "Eva" | | 2 | "Aurora" | | 3 | "Nyx" | | 4 | "Varga" | | 5 | "Isolde" |
| | places | | 0 | "Fae" | | 1 | "Grove" | | 2 | "Veil" | | 3 | "Richmond" | | 4 | "Park" | | 5 | "Fae-Forged" |
| | globalScore | 0.438 | | windowScore | 0.5 | |
| 76.47% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 34 | | glossingSentenceCount | 1 | | matches | | 0 | "something like a sigh, a chorus of voices to" |
| |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 4.444 | | wordCount | 675 | | matches | | 0 | "not with sound, but with something like a sigh, a chorus of voices too faint to" | | 1 | "Not a quake, not the earth shifting beneath her feet, but something deeper, something" | | 2 | "not the earth shifting beneath her feet, but something deeper, something" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 55 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 30.68 | | std | 24.89 | | cv | 0.811 | | sampleLengths | | 0 | 84 | | 1 | 101 | | 2 | 52 | | 3 | 11 | | 4 | 57 | | 5 | 29 | | 6 | 13 | | 7 | 15 | | 8 | 16 | | 9 | 26 | | 10 | 47 | | 11 | 27 | | 12 | 29 | | 13 | 15 | | 14 | 36 | | 15 | 4 | | 16 | 44 | | 17 | 12 | | 18 | 36 | | 19 | 6 | | 20 | 8 | | 21 | 7 |
| |
| 97.29% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 44 | | matches | | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 96 | | matches | | 0 | "were unraveling" | | 1 | "was listening" | | 2 | "was watching" | | 3 | "was thinning" | | 4 | "was *breathing" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 55 | | ratio | 0.073 | | matches | | 0 | "She had come here before, once, with Eva, but this was different—this was the first time she had walked *through* the Veil, the first time she had stepped into a place where the rules of the world she knew were unraveling." | | 1 | "Their bark shimmered with veins of silver and gold, and the leaves whispered when the wind passed through them—not with sound, but with something like a sigh, a chorus of voices too faint to hear but too real to ignore." | | 2 | "Instead, she looked around—the way the light filtered through the leaves, the way the air seemed to press against her skin like a second breath." | | 3 | "A shape moved in the distance—a flicker of black, a shadow that did not belong." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 572 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.03146853146853147 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.006993006993006993 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 55 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 55 | | mean | 12.27 | | std | 9.23 | | cv | 0.752 | | sampleLengths | | 0 | 23 | | 1 | 20 | | 2 | 41 | | 3 | 13 | | 4 | 22 | | 5 | 7 | | 6 | 40 | | 7 | 19 | | 8 | 13 | | 9 | 20 | | 10 | 19 | | 11 | 11 | | 12 | 2 | | 13 | 16 | | 14 | 25 | | 15 | 14 | | 16 | 18 | | 17 | 11 | | 18 | 9 | | 19 | 4 | | 20 | 12 | | 21 | 3 | | 22 | 13 | | 23 | 3 | | 24 | 19 | | 25 | 7 | | 26 | 9 | | 27 | 30 | | 28 | 8 | | 29 | 3 | | 30 | 19 | | 31 | 5 | | 32 | 3 | | 33 | 26 | | 34 | 8 | | 35 | 7 | | 36 | 3 | | 37 | 25 | | 38 | 8 | | 39 | 4 | | 40 | 25 | | 41 | 4 | | 42 | 6 | | 43 | 4 | | 44 | 5 | | 45 | 9 | | 46 | 3 | | 47 | 15 | | 48 | 9 | | 49 | 3 |
| |
| 42.42% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3090909090909091 | | totalSentences | 55 | | uniqueOpeners | 17 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 42 | | matches | | 0 | "Then the wind caught the" | | 1 | "Instead, she looked around—the way" | | 2 | "Then the ground trembled." | | 3 | "Instead, she turned back to" |
| | ratio | 0.095 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 4 | | totalSentences | 42 | | matches | | 0 | "She had come here before," | | 1 | "Their bark shimmered with veins" | | 2 | "Their violet eyes gleamed faintly" | | 3 | "She reached into the folds" |
| | ratio | 0.095 | |
| 43.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 35 | | totalSentences | 42 | | matches | | 0 | "The air in the Fae" | | 1 | "Aurora Carter tightened the silver" | | 2 | "She had come here before," | | 3 | "The moment the standing stones" | | 4 | "The sky above them was" | | 5 | "The trees here were not" | | 6 | "Their bark shimmered with veins" | | 7 | "Aurora’s fingers twitched toward the" | | 8 | "Nyx stepped forward, their form" | | 9 | "Their violet eyes gleamed faintly" | | 10 | "a voice said, smooth as" | | 11 | "Isolde Varga stood between two" | | 12 | "The seer’s hands were folded" | | 13 | "The air here was thick" | | 14 | "Aurora said, her voice steady" | | 15 | "Isolde tilted her head, her" | | 16 | "Aurora exhaled, the weight of" | | 17 | "Nyx stepped closer, their form" | | 18 | "Aurora said, the word *given*" | | 19 | "Isolde’s lips curled into something" |
| | ratio | 0.833 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 42 | | matches | (empty) | | ratio | 0 | |
| 30.08% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | technicalSentenceCount | 3 | | matches | | 0 | "The air in the Fae Grove hummed with something older than the trees, something that coiled beneath the earth like a living breath." | | 1 | "The sky above them was a vast, unbroken expanse of violet-blue, the kind of sky that made her forget where she was." | | 2 | "Not a quake, not the earth shifting beneath her feet, but something deeper, something that made the trees groan and the leaves rustle in unison." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 2 | | matches | | 0 | "Aurora said, her voice steady despite the way her pulse quickened" | | 1 | "Aurora said, the word *given* hanging between them like a question" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 16 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |