| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 49 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1342 | | 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) | |
| 73.92% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1342 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "shimmered" | | 1 | "warmth" | | 2 | "resonance" | | 3 | "whisper" | | 4 | "pulse" | | 5 | "chilled" |
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| 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 | 125 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 125 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 160 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 22 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1342 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 27.01% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 59 | | wordCount | 1057 | | uniqueNames | 7 | | maxNameDensity | 2.46 | | worstName | "Aurora" | | maxWindowNameDensity | 4 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Isolde | 16 | | Heartstone | 1 | | Fae-forged | 1 | | Nyx | 13 | | Aurora | 26 |
| | persons | | 0 | "Isolde" | | 1 | "Heartstone" | | 2 | "Nyx" | | 3 | "Aurora" |
| | places | | | globalScore | 0.27 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 85 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like bone polished by a river, and" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1342 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 160 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 85 | | mean | 15.79 | | std | 14.88 | | cv | 0.942 | | sampleLengths | | 0 | 46 | | 1 | 9 | | 2 | 7 | | 3 | 20 | | 4 | 12 | | 5 | 48 | | 6 | 25 | | 7 | 13 | | 8 | 9 | | 9 | 14 | | 10 | 7 | | 11 | 16 | | 12 | 39 | | 13 | 6 | | 14 | 13 | | 15 | 4 | | 16 | 10 | | 17 | 1 | | 18 | 3 | | 19 | 35 | | 20 | 43 | | 21 | 4 | | 22 | 49 | | 23 | 5 | | 24 | 9 | | 25 | 9 | | 26 | 8 | | 27 | 8 | | 28 | 7 | | 29 | 66 | | 30 | 11 | | 31 | 14 | | 32 | 13 | | 33 | 5 | | 34 | 25 | | 35 | 53 | | 36 | 42 | | 37 | 6 | | 38 | 14 | | 39 | 24 | | 40 | 22 | | 41 | 3 | | 42 | 9 | | 43 | 8 | | 44 | 1 | | 45 | 2 | | 46 | 12 | | 47 | 22 | | 48 | 40 | | 49 | 35 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 125 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 180 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 160 | | ratio | 0.006 | | matches | | 0 | "Silver leaves hung from one half; the other bore small white blossoms." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1059 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.024551463644948063 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0009442870632672333 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 160 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 160 | | mean | 8.39 | | std | 4.81 | | cv | 0.574 | | sampleLengths | | 0 | 14 | | 1 | 16 | | 2 | 16 | | 3 | 9 | | 4 | 7 | | 5 | 7 | | 6 | 13 | | 7 | 4 | | 8 | 8 | | 9 | 10 | | 10 | 6 | | 11 | 21 | | 12 | 11 | | 13 | 6 | | 14 | 12 | | 15 | 7 | | 16 | 13 | | 17 | 9 | | 18 | 14 | | 19 | 7 | | 20 | 16 | | 21 | 8 | | 22 | 10 | | 23 | 8 | | 24 | 13 | | 25 | 6 | | 26 | 13 | | 27 | 4 | | 28 | 10 | | 29 | 1 | | 30 | 3 | | 31 | 5 | | 32 | 18 | | 33 | 4 | | 34 | 8 | | 35 | 8 | | 36 | 14 | | 37 | 3 | | 38 | 18 | | 39 | 4 | | 40 | 11 | | 41 | 18 | | 42 | 5 | | 43 | 15 | | 44 | 5 | | 45 | 9 | | 46 | 3 | | 47 | 6 | | 48 | 8 | | 49 | 3 |
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| 48.96% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3125 | | totalSentences | 160 | | uniqueOpeners | 50 | |
| 61.16% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 109 | | matches | | 0 | "Then the pressure broke." | | 1 | "Somewhere ahead, water ran with" |
| | ratio | 0.018 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 109 | | matches | | 0 | "Their trunks had been dead" | | 1 | "Their shadowed shoulders shifted, edges" | | 2 | "Her silver hair fell to" | | 3 | "She slid the Fae-forged blade" | | 4 | "She stepped onto soil soft" | | 5 | "Their shape drew thin as" | | 6 | "Their stems brushed Aurora’s boots." | | 7 | "She bent to touch one," | | 8 | "It gave no warmth." | | 9 | "They were still there, but" | | 10 | "Their shadow lay in two" | | 11 | "She heard the soft click" | | 12 | "They passed a tree split" | | 13 | "She stepped away." | | 14 | "Their fingers sank into its" | | 15 | "Its surface held a field" | | 16 | "She crouched at the edge." | | 17 | "Their violet eyes glimmered in" | | 18 | "It showed a tall figure" | | 19 | "Their outline had gone ragged," |
| | ratio | 0.22 | |
| 19.63% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 96 | | totalSentences | 109 | | matches | | 0 | "The oak standing stones stood" | | 1 | "Their trunks had been dead" | | 2 | "Aurora stopped before the gap" | | 3 | "Nyx’s violet eyes rested on" | | 4 | "Their shadowed shoulders shifted, edges" | | 5 | "The park behind them smelled" | | 6 | "Aurora could make out the" | | 7 | "The distortion crawled over the" | | 8 | "Isolde waited on the other" | | 9 | "Her silver hair fell to" | | 10 | "Aurora glanced at the narrow" | | 11 | "Isolde smiled, and the corner" | | 12 | "Aurora touched the silver chain" | | 13 | "The Heartstone rested beneath her" | | 14 | "She slid the Fae-forged blade" | | 15 | "Moonlight caught the leaf-shaped edge," | | 16 | "Isolde’s pale eyes settled on" | | 17 | "Aurora crossed first." | | 18 | "The air tightened around her." | | 19 | "She stepped onto soil soft" |
| | ratio | 0.881 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 109 | | matches | (empty) | | ratio | 0 | |
| 93.02% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 3 | | matches | | 0 | "Their shadowed shoulders shifted, edges loosening into wisps that crawled over the grass." | | 1 | "Aurora could make out the trees on the far side, but their trunks bent at angles that made her eyes ache." | | 2 | "Through one, she glimpsed the park’s ordinary trees, dark and distant, as if reflected in deep water." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 88.78% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 3 | | fancyTags | | 0 | "they breathed (breathe)" | | 1 | "Nyx whispered (whisper)" | | 2 | "Aurora snapped (snap)" |
| | dialogueSentences | 49 | | tagDensity | 0.265 | | leniency | 0.531 | | rawRatio | 0.231 | | effectiveRatio | 0.122 | |