| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 84 | | tagDensity | 0.226 | | leniency | 0.452 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.86% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1209 | | 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) | |
| 33.83% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1209 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "silence" | | 1 | "lilt" | | 2 | "etched" | | 3 | "measured" | | 4 | "calculated" | | 5 | "marble" | | 6 | "velvet" | | 7 | "flickered" | | 8 | "pulse" | | 9 | "tracing" | | 10 | "footfall" |
| |
| 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 | 99 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 99 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 163 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 5 | | totalWords | 1194 | | ratio | 0.004 | | matches | | 0 | "World’s Okayest Witch" | | 1 | "protected" | | 2 | "in" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 96.89% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 659 | | uniqueNames | 14 | | maxNameDensity | 1.06 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Marseille | 1 | | Lucien | 7 | | Locked | 1 | | England | 1 | | Okayest | 1 | | Celtic | 1 | | King | 1 | | Cross | 1 | | Silence | 1 | | Rory | 5 | | Malphorite | 1 | | Tears | 1 | | Cold | 1 | | Eva | 1 |
| | persons | | 0 | "Lucien" | | 1 | "King" | | 2 | "Cross" | | 3 | "Silence" | | 4 | "Rory" | | 5 | "Tears" | | 6 | "Eva" |
| | places | | 0 | "Marseille" | | 1 | "England" | | 2 | "Malphorite" |
| | globalScore | 0.969 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 41 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 32.50% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.675 | | wordCount | 1194 | | matches | | 0 | "not blood, not yet, but the ozone tang of something pressing against the veil" | | 1 | "not yet, but the ozone tang of something pressing against the veil" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 163 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 96 | | mean | 12.44 | | std | 11.1 | | cv | 0.892 | | sampleLengths | | 0 | 8 | | 1 | 38 | | 2 | 19 | | 3 | 50 | | 4 | 4 | | 5 | 16 | | 6 | 10 | | 7 | 15 | | 8 | 7 | | 9 | 17 | | 10 | 14 | | 11 | 16 | | 12 | 7 | | 13 | 20 | | 14 | 8 | | 15 | 43 | | 16 | 2 | | 17 | 6 | | 18 | 20 | | 19 | 47 | | 20 | 9 | | 21 | 5 | | 22 | 4 | | 23 | 17 | | 24 | 2 | | 25 | 6 | | 26 | 14 | | 27 | 10 | | 28 | 3 | | 29 | 20 | | 30 | 4 | | 31 | 2 | | 32 | 43 | | 33 | 46 | | 34 | 8 | | 35 | 3 | | 36 | 5 | | 37 | 24 | | 38 | 10 | | 39 | 7 | | 40 | 20 | | 41 | 18 | | 42 | 11 | | 43 | 5 | | 44 | 2 | | 45 | 4 | | 46 | 4 | | 47 | 2 | | 48 | 23 | | 49 | 8 |
| |
| 98.17% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 99 | | matches | | 0 | "been scratched" | | 1 | "were carved" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 116 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 163 | | ratio | 0.061 | | matches | | 0 | "The silence between the beats, the precise pressure of knuckles against wood—too controlled to be casual, too insistent to be polite—had already mapped the shape of him in her mind." | | 1 | "\"Three. A statement.\" His gaze swept the flat—the stacks of occult theory wedged between secondhand philosophy, the half-unrolled map of ley lines across England pinned to corkboard, a chipped ceramic mug with *World’s Okayest Witch* etched in shaky letters." | | 2 | "He stopped just short of the coffee table, where a half-read manuscript lay open—her mother’s old notes on Celtic binding rituals, transcribed from a crumbling notebook." | | 3 | "A childhood memory—glass, a fall, a scream." | | 4 | "Lucien knelt—slow, deliberate—and offered the back of his hand." | | 5 | "Copper stung her nostrils again—not blood, not yet, but the ozone tang of something pressing against the veil." | | 6 | "The floorboards near the bed had been scratched raw—three parallel gouges." | | 7 | "But close enough that she felt the heat of him, the faint hum beneath his skin—the half-demon current that flickered like distant stormlight." | | 8 | "Felt the pulse inside—faint, ancient." | | 9 | "She heard it then—the footfall on the stairs." |
| |
| 93.46% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 674 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.04747774480712166 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.001483679525222552 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 163 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 163 | | mean | 7.33 | | std | 6.19 | | cv | 0.845 | | sampleLengths | | 0 | 8 | | 1 | 8 | | 2 | 30 | | 3 | 6 | | 4 | 3 | | 5 | 3 | | 6 | 7 | | 7 | 16 | | 8 | 11 | | 9 | 7 | | 10 | 11 | | 11 | 5 | | 12 | 4 | | 13 | 4 | | 14 | 12 | | 15 | 5 | | 16 | 5 | | 17 | 6 | | 18 | 9 | | 19 | 7 | | 20 | 13 | | 21 | 4 | | 22 | 10 | | 23 | 4 | | 24 | 16 | | 25 | 7 | | 26 | 14 | | 27 | 4 | | 28 | 2 | | 29 | 8 | | 30 | 39 | | 31 | 4 | | 32 | 2 | | 33 | 6 | | 34 | 16 | | 35 | 4 | | 36 | 7 | | 37 | 10 | | 38 | 3 | | 39 | 1 | | 40 | 26 | | 41 | 6 | | 42 | 3 | | 43 | 5 | | 44 | 4 | | 45 | 11 | | 46 | 6 | | 47 | 2 | | 48 | 6 | | 49 | 14 |
| |
| 66.87% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.4233128834355828 | | totalSentences | 163 | | uniqueOpeners | 69 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 80 | | matches | | 0 | "Then the middle." | | 1 | "Then the bottom." | | 2 | "Then the lamp flickered." | | 3 | "Too heavy to be Eva." | | 4 | "Too slow to be random." | | 5 | "Then the first lock burst" |
| | ratio | 0.075 | |
| 65.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 80 | | matches | | 0 | "She slid the top bolt" | | 1 | "His suit was charcoal, tailored" | | 2 | "His voice hadn’t changed." | | 3 | "He tilted his head slightly" | | 4 | "She exhaled through her nose," | | 5 | "He stepped inside, closed the" | | 6 | "His gaze swept the flat—the" | | 7 | "She leaned against the doorframe" | | 8 | "He moved with silence, despite" | | 9 | "He stopped just short of" | | 10 | "His fingers hovered over the" | | 11 | "His breath hitched." | | 12 | "She stepped forward" | | 13 | "His voice dropped" | | 14 | "Her fingers brushed the crescent" | | 15 | "His voice cracked" | | 16 | "She almost smiled." | | 17 | "Her pulse sharpened" | | 18 | "He moved past her, down" | | 19 | "She followed, hand slipping into" |
| | ratio | 0.388 | |
| 60.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 80 | | matches | | 0 | "The chain rattled loose before" | | 1 | "Rory didn’t need to look" | | 2 | "The silence between the beats," | | 3 | "She slid the top bolt" | | 4 | "Lucien stood in the dim" | | 5 | "His suit was charcoal, tailored" | | 6 | "Platinum hair slicked back like" | | 7 | "The other drank the dark." | | 8 | "His voice hadn’t changed." | | 9 | "Rory kept the chain on." | | 10 | "He tilted his head slightly" | | 11 | "A ghost of a smile" | | 12 | "She exhaled through her nose," | | 13 | "The door swung wide." | | 14 | "Ptolemy darted between Lucien’s legs," | | 15 | "He stepped inside, closed the" | | 16 | "His gaze swept the flat—the" | | 17 | "She leaned against the doorframe" | | 18 | "He moved with silence, despite" | | 19 | "Each step measured." |
| | ratio | 0.8 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 80 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 84 | | tagDensity | 0.071 | | leniency | 0.143 | | rawRatio | 0 | | effectiveRatio | 0 | |