| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "Isolde said quietly [quietly]" |
| | dialogueSentences | 28 | | tagDensity | 0.536 | | leniency | 1 | | rawRatio | 0.067 | | effectiveRatio | 0.067 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1047 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 95.22% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1047 | | totalAiIsms | 1 | | found | | | highlights | | |
| 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 | 63 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 63 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 77 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1047 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 44.28% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 804 | | uniqueNames | 6 | | maxNameDensity | 2.11 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Isolde | 7 | | Nyx | 6 | | Rory | 17 | | Heartstone | 1 | | October | 1 | | Fae | 1 |
| | persons | | 0 | "Isolde" | | 1 | "Nyx" | | 2 | "Rory" | | 3 | "Heartstone" |
| | places | (empty) | | globalScore | 0.443 | | windowScore | 0.667 | |
| 94.44% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | glossingSentenceCount | 1 | | matches | | 0 | "as if listening to the others" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1047 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 77 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 36.1 | | std | 25.95 | | cv | 0.719 | | sampleLengths | | 0 | 44 | | 1 | 7 | | 2 | 59 | | 3 | 46 | | 4 | 71 | | 5 | 25 | | 6 | 63 | | 7 | 10 | | 8 | 5 | | 9 | 43 | | 10 | 49 | | 11 | 20 | | 12 | 4 | | 13 | 43 | | 14 | 71 | | 15 | 30 | | 16 | 9 | | 17 | 90 | | 18 | 30 | | 19 | 22 | | 20 | 58 | | 21 | 45 | | 22 | 4 | | 23 | 8 | | 24 | 87 | | 25 | 11 | | 26 | 7 | | 27 | 66 | | 28 | 20 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 63 | | matches | (empty) | |
| 1.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 134 | | matches | | 0 | "was rearranging" | | 1 | "were blooming" | | 2 | "was seeping" | | 3 | "was running" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 77 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 441 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 11 | | adverbRatio | 0.024943310657596373 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.006802721088435374 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 77 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 77 | | mean | 13.6 | | std | 8.8 | | cv | 0.647 | | sampleLengths | | 0 | 26 | | 1 | 6 | | 2 | 1 | | 3 | 11 | | 4 | 3 | | 5 | 4 | | 6 | 11 | | 7 | 29 | | 8 | 19 | | 9 | 11 | | 10 | 19 | | 11 | 9 | | 12 | 7 | | 13 | 24 | | 14 | 15 | | 15 | 14 | | 16 | 18 | | 17 | 4 | | 18 | 17 | | 19 | 4 | | 20 | 10 | | 21 | 32 | | 22 | 12 | | 23 | 9 | | 24 | 4 | | 25 | 6 | | 26 | 5 | | 27 | 11 | | 28 | 32 | | 29 | 8 | | 30 | 20 | | 31 | 21 | | 32 | 20 | | 33 | 4 | | 34 | 28 | | 35 | 15 | | 36 | 9 | | 37 | 4 | | 38 | 21 | | 39 | 10 | | 40 | 27 | | 41 | 8 | | 42 | 22 | | 43 | 3 | | 44 | 6 | | 45 | 9 | | 46 | 22 | | 47 | 14 | | 48 | 21 | | 49 | 4 |
| |
| 72.73% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.4675324675324675 | | totalSentences | 77 | | uniqueOpeners | 36 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 52 | | matches | | 0 | "Somewhere ahead water was running," | | 1 | "Instead of birdsong there came" |
| | ratio | 0.038 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 52 | | matches | | 0 | "Her silver hair slid down" | | 1 | "It lay flat and unbroken," | | 2 | "She tightened her jaw and" | | 3 | "It had been quiet for" | | 4 | "It had woken the moment" | | 5 | "It tasted of cut grass" | | 6 | "She knelt and touched one" | | 7 | "Its petals were warm, and" | | 8 | "Her other hand had found" | | 9 | "It was not moonlight." | | 10 | "They walked on." | | 11 | "She stopped and turned in" |
| | ratio | 0.231 | |
| 46.54% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 43 | | totalSentences | 52 | | matches | | 0 | "The standing stones rose out" | | 1 | "Rory counted them without meaning" | | 2 | "Each one leaned a little," | | 3 | "Isolde stepped between the two" | | 4 | "Her silver hair slid down" | | 5 | "Rory glanced down at the" | | 6 | "It lay flat and unbroken," | | 7 | "Rory's own boots left dark" | | 8 | "She tightened her jaw and" | | 9 | "Nyx drifted at the edge" | | 10 | "The shade was not so" | | 11 | "The voice came like wind" | | 12 | "Rory pressed two fingers against" | | 13 | "It had been quiet for" | | 14 | "It had woken the moment" | | 15 | "Rory let her hand drop" | | 16 | "Isolde stopped beneath the largest" | | 17 | "The branches overhead had grown" | | 18 | "Rory looked up and saw" | | 19 | "The seer turned, and her" |
| | ratio | 0.827 | |
| 96.15% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 52 | | matches | | 0 | "Even through the leather, the" |
| | ratio | 0.019 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 1 | | matches | | 0 | "Nyx drifted at the edge of her vision, a tall stretch of shadow that had come up from the root-tangled hollow beneath the oaks." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 42.86% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 3 | | fancyTags | | 0 | "Nyx whispered (whisper)" | | 1 | "Nyx murmured (murmur)" | | 2 | "they whispered (whisper)" |
| | dialogueSentences | 28 | | tagDensity | 0.393 | | leniency | 0.786 | | rawRatio | 0.273 | | effectiveRatio | 0.214 | |