| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 41 | | tagDensity | 0.268 | | leniency | 0.537 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.32% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1761 | | totalAiIsmAdverbs | 2 | | 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) | |
| 57.41% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1761 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "shimmered" | | 1 | "wavering" | | 2 | "pulsed" | | 3 | "pulse" | | 4 | "crystal" | | 5 | "stomach" | | 6 | "silk" | | 7 | "warmth" | | 8 | "flickered" | | 9 | "charged" | | 10 | "weight" | | 11 | "footsteps" |
| |
| 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 | 200 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 200 | | filterMatches | (empty) | | hedgeMatches | | |
| 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 | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1761 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 51.02% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 77 | | wordCount | 1566 | | uniqueNames | 12 | | maxNameDensity | 1.98 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 2 | | Park | 2 | | Shade | 2 | | Aurora | 31 | | Fae-forged | 1 | | Isolde | 15 | | Nyx | 15 | | Heartstone | 1 | | Pendant | 1 | | Dymas | 2 | | Fae | 2 | | One | 3 |
| | persons | | 0 | "Aurora" | | 1 | "Isolde" | | 2 | "Nyx" | | 3 | "Pendant" | | 4 | "Dymas" | | 5 | "One" |
| | places | | | globalScore | 0.51 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 123 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1761 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 228 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 138 | | mean | 12.76 | | std | 13.19 | | cv | 1.034 | | sampleLengths | | 0 | 13 | | 1 | 28 | | 2 | 5 | | 3 | 70 | | 4 | 17 | | 5 | 37 | | 6 | 10 | | 7 | 23 | | 8 | 25 | | 9 | 20 | | 10 | 3 | | 11 | 41 | | 12 | 6 | | 13 | 7 | | 14 | 5 | | 15 | 8 | | 16 | 7 | | 17 | 5 | | 18 | 40 | | 19 | 22 | | 20 | 3 | | 21 | 6 | | 22 | 13 | | 23 | 5 | | 24 | 39 | | 25 | 8 | | 26 | 53 | | 27 | 7 | | 28 | 3 | | 29 | 4 | | 30 | 2 | | 31 | 4 | | 32 | 4 | | 33 | 10 | | 34 | 8 | | 35 | 8 | | 36 | 4 | | 37 | 24 | | 38 | 3 | | 39 | 6 | | 40 | 9 | | 41 | 20 | | 42 | 4 | | 43 | 6 | | 44 | 8 | | 45 | 7 | | 46 | 4 | | 47 | 12 | | 48 | 57 | | 49 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 200 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 282 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 228 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1570 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, tooth-lined mouths." |
| | adverbCount | 34 | | adverbRatio | 0.02165605095541401 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.003821656050955414 | |
| 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 | 7.72 | | std | 4.43 | | cv | 0.573 | | sampleLengths | | 0 | 13 | | 1 | 15 | | 2 | 13 | | 3 | 5 | | 4 | 9 | | 5 | 14 | | 6 | 12 | | 7 | 12 | | 8 | 23 | | 9 | 17 | | 10 | 11 | | 11 | 14 | | 12 | 12 | | 13 | 4 | | 14 | 6 | | 15 | 8 | | 16 | 15 | | 17 | 12 | | 18 | 13 | | 19 | 7 | | 20 | 13 | | 21 | 3 | | 22 | 4 | | 23 | 23 | | 24 | 5 | | 25 | 9 | | 26 | 6 | | 27 | 7 | | 28 | 5 | | 29 | 8 | | 30 | 7 | | 31 | 5 | | 32 | 25 | | 33 | 8 | | 34 | 7 | | 35 | 7 | | 36 | 15 | | 37 | 3 | | 38 | 6 | | 39 | 5 | | 40 | 8 | | 41 | 5 | | 42 | 12 | | 43 | 14 | | 44 | 13 | | 45 | 8 | | 46 | 5 | | 47 | 12 | | 48 | 11 | | 49 | 5 |
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| 52.19% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.34210526315789475 | | totalSentences | 228 | | uniqueOpeners | 78 | |
| 55.56% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 180 | | matches | | 0 | "Then every vine along the" | | 1 | "Instead of blood, amber liquid" | | 2 | "Somewhere inside, a bell rang" |
| | ratio | 0.017 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 180 | | matches | | 0 | "It came from above, though" | | 1 | "Their leaves shimmered with a" | | 2 | "Her silver hair drifted around" | | 3 | "He moved without sound, his" | | 4 | "Her Heartstone Pendant warmed against" | | 5 | "She pulled it from beneath" | | 6 | "They left the stones behind." | | 7 | "It glowed faintly beneath the" | | 8 | "Her pale lavender eyes rested" | | 9 | "It wore a chef’s white" | | 10 | "Its head remained hidden beneath" | | 11 | "Its voice rolled across the" | | 12 | "She seized Isolde’s hand and" | | 13 | "She kicked hard." | | 14 | "She stumbled, then grabbed a" | | 15 | "Their arms lengthened into bands" | | 16 | "She stopped so abruptly that" | | 17 | "Its walls looked carved from" | | 18 | "Its warmth intensified." | | 19 | "It stood among the vines," |
| | ratio | 0.156 | |
| 48.89% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 148 | | totalSentences | 180 | | matches | | 0 | "Aurora stepped between the standing" | | 1 | "The next, the clearing opened" | | 2 | "Amber light washed over everything." | | 3 | "It came from above, though" | | 4 | "The heavens rippled like heated" | | 5 | "Their leaves shimmered with a" | | 6 | "Aurora stopped with one boot" | | 7 | "Nyx emerged beside her, their" | | 8 | "The amber glow slid across" | | 9 | "Violet eyes opened in the" | | 10 | "Aurora tightened her grip on" | | 11 | "Her silver hair drifted around" | | 12 | "Aurora glanced back." | | 13 | "The standing stones remained." | | 14 | "Richmond Park showed beyond them," | | 15 | "A cyclist passed between trees." | | 16 | "He moved without sound, his" | | 17 | "Nyx tilted their head towards" | | 18 | "Something sang among the vines." | | 19 | "The sound began as a" |
| | ratio | 0.822 | |
| 27.78% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 180 | | matches | | 0 | "Wherever it touched, the soil" |
| | ratio | 0.006 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 67 | | technicalSentenceCount | 1 | | matches | | 0 | "Their arms lengthened into bands of shadow that wrapped around its torso." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 28.05% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 5 | | fancyTags | | 0 | "Isolde murmured (murmur)" | | 1 | "they murmured (murmur)" | | 2 | "they whispered (whisper)" | | 3 | "she whispered (whisper)" | | 4 | "they whispered (whisper)" |
| | dialogueSentences | 41 | | tagDensity | 0.268 | | leniency | 0.537 | | rawRatio | 0.455 | | effectiveRatio | 0.244 | |