| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 41 | | tagDensity | 0.122 | | leniency | 0.244 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.83% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1576 | | 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) | |
| 84.14% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1576 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "weight" | | 1 | "pulsed" | | 2 | "marble" | | 3 | "whisper" |
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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 | 160 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 160 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 196 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1576 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 43.23% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 57 | | wordCount | 1358 | | uniqueNames | 7 | | maxNameDensity | 2.14 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 2 | | Park | 2 | | Isolde | 12 | | Nyx | 9 | | Aurora | 29 | | Fae-forged | 1 | | Grove | 2 |
| | persons | | | places | | | globalScore | 0.432 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 107 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like bone polished by centuries of" | | 1 | "looked like footprints, but each one had" |
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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 | 1576 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 196 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 126 | | mean | 12.51 | | std | 12.72 | | cv | 1.017 | | sampleLengths | | 0 | 13 | | 1 | 54 | | 2 | 2 | | 3 | 31 | | 4 | 4 | | 5 | 36 | | 6 | 3 | | 7 | 23 | | 8 | 6 | | 9 | 11 | | 10 | 3 | | 11 | 34 | | 12 | 25 | | 13 | 4 | | 14 | 7 | | 15 | 20 | | 16 | 8 | | 17 | 37 | | 18 | 8 | | 19 | 10 | | 20 | 40 | | 21 | 41 | | 22 | 5 | | 23 | 25 | | 24 | 2 | | 25 | 2 | | 26 | 33 | | 27 | 4 | | 28 | 4 | | 29 | 3 | | 30 | 6 | | 31 | 4 | | 32 | 34 | | 33 | 7 | | 34 | 5 | | 35 | 21 | | 36 | 4 | | 37 | 6 | | 38 | 20 | | 39 | 4 | | 40 | 3 | | 41 | 2 | | 42 | 8 | | 43 | 6 | | 44 | 26 | | 45 | 7 | | 46 | 2 | | 47 | 2 | | 48 | 5 | | 49 | 21 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 160 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 226 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 196 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1367 | | adjectiveStacks | 1 | | stackExamples | | 0 | "moving beneath enormous trees." |
| | adverbCount | 37 | | adverbRatio | 0.027066569129480616 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.0036576444769568397 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 196 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 196 | | mean | 8.04 | | std | 5.03 | | cv | 0.626 | | sampleLengths | | 0 | 13 | | 1 | 21 | | 2 | 13 | | 3 | 20 | | 4 | 2 | | 5 | 31 | | 6 | 4 | | 7 | 19 | | 8 | 5 | | 9 | 12 | | 10 | 3 | | 11 | 10 | | 12 | 13 | | 13 | 6 | | 14 | 11 | | 15 | 3 | | 16 | 5 | | 17 | 15 | | 18 | 6 | | 19 | 8 | | 20 | 13 | | 21 | 12 | | 22 | 4 | | 23 | 7 | | 24 | 7 | | 25 | 13 | | 26 | 8 | | 27 | 4 | | 28 | 4 | | 29 | 17 | | 30 | 12 | | 31 | 4 | | 32 | 4 | | 33 | 10 | | 34 | 11 | | 35 | 8 | | 36 | 21 | | 37 | 9 | | 38 | 11 | | 39 | 9 | | 40 | 12 | | 41 | 5 | | 42 | 17 | | 43 | 8 | | 44 | 2 | | 45 | 2 | | 46 | 7 | | 47 | 7 | | 48 | 19 | | 49 | 4 |
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| 47.79% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3112244897959184 | | totalSentences | 196 | | uniqueOpeners | 61 | |
| 67.11% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 149 | | matches | | 0 | "Then Nyx passed through." | | 1 | "Somewhere beneath the ground, something" | | 2 | "Then came an arm wrapped" |
| | ratio | 0.02 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 149 | | matches | | 0 | "It smelled of rain, crushed" | | 1 | "They slid across the threshold." | | 2 | "Her silver hair spilled over" | | 3 | "Her boots hovered above the" | | 4 | "Their voice arrived from several" | | 5 | "They had changed, though." | | 6 | "Its flame burned blue." | | 7 | "Its leaf-shaped edge held a" | | 8 | "Their bark shone white, but" | | 9 | "It looked like bone polished" | | 10 | "It had wings like a" | | 11 | "They rose and fell in" | | 12 | "It had four slender legs," | | 13 | "Their petals opened and shut" | | 14 | "Its hooves made no sound." | | 15 | "It fell upward." | | 16 | "Its spray drifted down in" | | 17 | "She made no sound as" | | 18 | "Her foot had landed in" | | 19 | "They snapped shut around her" |
| | ratio | 0.208 | |
| 37.18% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 126 | | totalSentences | 149 | | matches | | 0 | "Aurora stepped between the standing" | | 1 | "The night had been sharp" | | 2 | "It smelled of rain, crushed" | | 3 | "The shadow’s tall form folded" | | 4 | "They slid across the threshold." | | 5 | "A breath later, the silhouette" | | 6 | "The park vanished." | | 7 | "Aurora turned so quickly that" | | 8 | "The deep crimson stone pulsed" | | 9 | "Aurora kept her hand near" | | 10 | "Isolde stood several paces ahead." | | 11 | "Her silver hair spilled over" | | 12 | "Her boots hovered above the" | | 13 | "Aurora glanced at Nyx." | | 14 | "A faint breeze moved through" | | 15 | "Their voice arrived from several" | | 16 | "The standing stones remained." | | 17 | "They had changed, though." | | 18 | "Each one now rose far" | | 19 | "Isolde lifted her lantern." |
| | ratio | 0.846 | |
| 33.56% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 149 | | matches | | 0 | "Wherever they touched, pale flowers" |
| | ratio | 0.007 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 56 | | technicalSentenceCount | 2 | | matches | | 0 | "Its leaf-shaped edge held a faint light of its own, a narrow gleam that sharpened whenever she looked towards the trees." | | 1 | "Trees leaned over them, heavy with fruit that shifted colour as Aurora watched: red, then violet, then the silver-white of the moon." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "Isolde murmured (murmur)" | | 1 | "she murmured (murmur)" |
| | dialogueSentences | 41 | | tagDensity | 0.122 | | leniency | 0.244 | | rawRatio | 0.4 | | effectiveRatio | 0.098 | |