| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 60 | | tagDensity | 0.317 | | leniency | 0.633 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2034 | | 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) | |
| 77.88% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2034 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "pulse" | | 1 | "trembled" | | 2 | "footsteps" | | 3 | "stomach" | | 4 | "depths" | | 5 | "weight" | | 6 | "resolved" | | 7 | "chilled" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 187 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 187 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 228 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2032 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 92 | | wordCount | 1748 | | uniqueNames | 8 | | maxNameDensity | 2.4 | | worstName | "Rory" | | maxWindowNameDensity | 5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Rory | 42 | | Heartstone | 2 | | Nyx | 21 | | Isolde | 17 | | Three | 4 | | One | 4 |
| | persons | | 0 | "Rory" | | 1 | "Heartstone" | | 2 | "Nyx" | | 3 | "Isolde" | | 4 | "Three" |
| | places | | | globalScore | 0.299 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 132 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 2032 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 228 | | matches | | 0 | "watched that patch" | | 1 | "checked that the" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 100 | | mean | 20.32 | | std | 20.22 | | cv | 0.995 | | sampleLengths | | 0 | 12 | | 1 | 44 | | 2 | 58 | | 3 | 6 | | 4 | 13 | | 5 | 2 | | 6 | 7 | | 7 | 2 | | 8 | 67 | | 9 | 48 | | 10 | 8 | | 11 | 6 | | 12 | 13 | | 13 | 84 | | 14 | 12 | | 15 | 19 | | 16 | 60 | | 17 | 4 | | 18 | 6 | | 19 | 4 | | 20 | 10 | | 21 | 39 | | 22 | 8 | | 23 | 6 | | 24 | 4 | | 25 | 50 | | 26 | 43 | | 27 | 25 | | 28 | 4 | | 29 | 3 | | 30 | 31 | | 31 | 6 | | 32 | 6 | | 33 | 5 | | 34 | 15 | | 35 | 22 | | 36 | 11 | | 37 | 5 | | 38 | 15 | | 39 | 15 | | 40 | 4 | | 41 | 10 | | 42 | 4 | | 43 | 32 | | 44 | 6 | | 45 | 13 | | 46 | 29 | | 47 | 2 | | 48 | 25 | | 49 | 19 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 187 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 300 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 2 | | flaggedSentences | 3 | | totalSentences | 228 | | ratio | 0.013 | | matches | | 0 | "Wildflowers crowded the ground in colours she knew—blue, gold, red—and colours she could not name without looking away first." | | 1 | "Rory watched Isolde walk ahead of them; grass bent beneath the hem of her dress, but no footprints marked the damp soil beside the path." | | 2 | "Isolde heard it too; she stopped beside a bank of moss and lifted one hand." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1751 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.021701884637350087 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.001142204454597373 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 228 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 228 | | mean | 8.91 | | std | 5.44 | | cv | 0.611 | | sampleLengths | | 0 | 12 | | 1 | 20 | | 2 | 17 | | 3 | 3 | | 4 | 2 | | 5 | 2 | | 6 | 2 | | 7 | 22 | | 8 | 14 | | 9 | 9 | | 10 | 11 | | 11 | 6 | | 12 | 4 | | 13 | 9 | | 14 | 2 | | 15 | 7 | | 16 | 2 | | 17 | 10 | | 18 | 19 | | 19 | 12 | | 20 | 10 | | 21 | 10 | | 22 | 6 | | 23 | 6 | | 24 | 12 | | 25 | 17 | | 26 | 3 | | 27 | 10 | | 28 | 8 | | 29 | 2 | | 30 | 4 | | 31 | 8 | | 32 | 5 | | 33 | 11 | | 34 | 12 | | 35 | 20 | | 36 | 19 | | 37 | 9 | | 38 | 13 | | 39 | 12 | | 40 | 5 | | 41 | 14 | | 42 | 3 | | 43 | 21 | | 44 | 21 | | 45 | 9 | | 46 | 6 | | 47 | 4 | | 48 | 6 | | 49 | 4 |
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| 48.25% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.2719298245614035 | | totalSentences | 228 | | uniqueOpeners | 62 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 167 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 167 | | matches | | 0 | "He moved through one turn" | | 1 | "Their outline held against the" | | 2 | "She had felt no pulse" | | 3 | "She touched it." | | 4 | "They walked into a clearing" | | 5 | "She looked down." | | 6 | "It carried the scent of" | | 7 | "She had eaten before leaving" | | 8 | "She searched between the trees" | | 9 | "They drifted beneath the surface" | | 10 | "She picked up a fallen" | | 11 | "It sank past one band" | | 12 | "Their shape drew tighter, darkness" | | 13 | "She drew the leaf-shaped dagger" | | 14 | "She remembered the narrow opening" | | 15 | "she muttered to Nyx" | | 16 | "Its cold ran through her" | | 17 | "she told the empty prints" | | 18 | "It struck her left eyelid" | | 19 | "It matched her outline: black" |
| | ratio | 0.192 | |
| 46.83% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 138 | | totalSentences | 167 | | matches | | 0 | "Rory stepped between two ancient" | | 1 | "A bus had been labouring" | | 2 | "The oaks stood close enough" | | 3 | "A cyclist crossed it, no" | | 4 | "He moved through one turn" | | 5 | "Rory lowered her hand." | | 6 | "Nyx passed her as a" | | 7 | "Their outline held against the" | | 8 | "Rory followed, one hand closed" | | 9 | "The Heartstone rested against her" | | 10 | "She had felt no pulse" | | 11 | "That, at least, offered one" | | 12 | "The grass changed beneath her" | | 13 | "Each blade ended in a" | | 14 | "She touched it." | | 15 | "The drop broke, and a" | | 16 | "A dozen answering notes trembled" | | 17 | "Nyx tilted their head towards" | | 18 | "They walked into a clearing" | | 19 | "Wildflowers crowded the ground in" |
| | ratio | 0.826 | |
| 29.94% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 167 | | matches | | 0 | "Now her boots pressed into" |
| | ratio | 0.006 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 80 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 83.33% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 4 | | fancyTags | | 0 | "Nyx murmured (murmur)" | | 1 | "Nyx whispered (whisper)" | | 2 | "they whispered (whisper)" | | 3 | "she muttered (mutter)" |
| | dialogueSentences | 60 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.267 | | effectiveRatio | 0.133 | |