| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 48 | | tagDensity | 0.396 | | leniency | 0.792 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.01% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1365 | | totalAiIsmAdverbs | 3 | | 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) | |
| 78.02% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1365 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "glint" | | 1 | "shimmered" | | 2 | "silk" | | 3 | "warmth" | | 4 | "flickered" | | 5 | "pulse" |
| |
| 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 | 2 | | narrationSentences | 99 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 128 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 2 | | totalWords | 1365 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 1072 | | uniqueNames | 8 | | maxNameDensity | 0.75 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Nyx" | | discoveredNames | | Rory | 8 | | Queens | 1 | | Road | 1 | | Nyx | 7 | | August | 1 | | Heartstone | 1 | | Pendant | 1 | | Fae | 1 |
| | persons | | | places | | 0 | "Queens" | | 1 | "Road" | | 2 | "August" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.733 | | wordCount | 1365 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 128 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 62 | | mean | 22.02 | | std | 20.97 | | cv | 0.953 | | sampleLengths | | 0 | 46 | | 1 | 6 | | 2 | 60 | | 3 | 7 | | 4 | 6 | | 5 | 44 | | 6 | 4 | | 7 | 33 | | 8 | 40 | | 9 | 6 | | 10 | 14 | | 11 | 2 | | 12 | 10 | | 13 | 26 | | 14 | 35 | | 15 | 7 | | 16 | 53 | | 17 | 4 | | 18 | 51 | | 19 | 33 | | 20 | 10 | | 21 | 2 | | 22 | 29 | | 23 | 5 | | 24 | 52 | | 25 | 14 | | 26 | 3 | | 27 | 2 | | 28 | 72 | | 29 | 11 | | 30 | 17 | | 31 | 5 | | 32 | 58 | | 33 | 5 | | 34 | 1 | | 35 | 4 | | 36 | 1 | | 37 | 57 | | 38 | 12 | | 39 | 3 | | 40 | 50 | | 41 | 3 | | 42 | 21 | | 43 | 19 | | 44 | 55 | | 45 | 7 | | 46 | 6 | | 47 | 46 | | 48 | 46 | | 49 | 1 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 99 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 164 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 128 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1079 | | adjectiveStacks | 1 | | stackExamples | | 0 | "shoulder-high beside cornflowers," |
| | adverbCount | 24 | | adverbRatio | 0.022242817423540315 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0037071362372567192 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 128 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 128 | | mean | 10.66 | | std | 8.27 | | cv | 0.776 | | sampleLengths | | 0 | 21 | | 1 | 25 | | 2 | 6 | | 3 | 9 | | 4 | 4 | | 5 | 33 | | 6 | 14 | | 7 | 7 | | 8 | 6 | | 9 | 15 | | 10 | 19 | | 11 | 10 | | 12 | 4 | | 13 | 12 | | 14 | 21 | | 15 | 7 | | 16 | 33 | | 17 | 3 | | 18 | 3 | | 19 | 14 | | 20 | 2 | | 21 | 10 | | 22 | 26 | | 23 | 6 | | 24 | 3 | | 25 | 26 | | 26 | 7 | | 27 | 3 | | 28 | 25 | | 29 | 5 | | 30 | 4 | | 31 | 16 | | 32 | 4 | | 33 | 9 | | 34 | 18 | | 35 | 24 | | 36 | 3 | | 37 | 30 | | 38 | 10 | | 39 | 2 | | 40 | 5 | | 41 | 21 | | 42 | 3 | | 43 | 5 | | 44 | 42 | | 45 | 10 | | 46 | 14 | | 47 | 3 | | 48 | 2 | | 49 | 17 |
| |
| 63.28% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.421875 | | totalSentences | 128 | | uniqueOpeners | 54 | |
| 39.68% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 84 | | matches | | 0 | "Only, far down, a scatter" |
| | ratio | 0.012 | |
| 81.90% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 84 | | matches | | 0 | "She had expected granite." | | 1 | "They stood a pace behind" | | 2 | "She squinted between the two" | | 3 | "Her ears popped." | | 4 | "She opened her eyes and" | | 5 | "Their outline firmed, the smoke" | | 6 | "She pulled out her phone." | | 7 | "She pocketed it." | | 8 | "It curved toward the middle" | | 9 | "Her own boots had left" | | 10 | "She pressed her palm beside" | | 11 | "She followed the path." | | 12 | "She heard the music before" | | 13 | "It was thin and high," | | 14 | "They swayed without any wind." | | 15 | "Her fingers stopped an inch" | | 16 | "She let her hand drop" | | 17 | "She pulled out the chain" | | 18 | "It didn't pulse." | | 19 | "They walked down the far" |
| | ratio | 0.345 | |
| 19.52% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 84 | | matches | | 0 | "Frost furred the bracken along" | | 1 | "The stones stood ahead of" | | 2 | "She had expected granite." | | 3 | "These were oak, trunks as" | | 4 | "Moss grew on their north" | | 5 | "Nyx's voice slid along the" | | 6 | "They stood a pace behind" | | 7 | "A violet glint moved in" | | 8 | "She squinted between the two" | | 9 | "The air there rippled, the" | | 10 | "Rory tucked her hands into" | | 11 | "The world pulled like a" | | 12 | "Her ears popped." | | 13 | "The cold went out of" | | 14 | "She opened her eyes and" | | 15 | "Foxgloves stood shoulder-high beside cornflowers," | | 16 | "None of them belonged together." | | 17 | "Bees droned through the air," | | 18 | "Nyx came through the gap" | | 19 | "Their outline firmed, the smoke" |
| | ratio | 0.881 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 84 | | matches | (empty) | | ratio | 0 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 3 | | matches | | 0 | "These were oak, trunks as wide as her arm span, black with age and hard as iron, their bark carved with spirals that ran clockwise up one side and anticlockwise…" | | 1 | "Her own boots had left deep, crumbling prints behind her, but ahead of her the soil lay unmarked, as if no one had ever walked there." | | 2 | "The tree grew from the top of the mound: a white-barked thing, neither birch nor ash, with leaves that chimed against each other in the still air." |
| |
| 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 | 11 | | fancyCount | 2 | | fancyTags | | 0 | "Nyx breathed (breathe)" | | 1 | "they whispered (whisper)" |
| | dialogueSentences | 48 | | tagDensity | 0.229 | | leniency | 0.458 | | rawRatio | 0.182 | | effectiveRatio | 0.083 | |