| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 22 | | tagDensity | 0.545 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 84.62% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 650 | | 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) | |
| 30.77% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 650 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "pulsed" | | 1 | "warmth" | | 2 | "otherworldly" | | 3 | "flickered" | | 4 | "gleaming" | | 5 | "whisper" | | 6 | "dance" | | 7 | "echo" |
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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 | 41 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 41 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 51 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 650 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 46.69% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 484 | | uniqueNames | 9 | | maxNameDensity | 2.07 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Aurora" | | discoveredNames | | Isolde | 7 | | London | 1 | | Richmond | 1 | | Park | 1 | | Aurora | 10 | | Heartstone | 2 | | Fae | 2 | | Nyx | 6 | | Lights | 1 |
| | persons | | 0 | "Isolde" | | 1 | "Aurora" | | 2 | "Heartstone" | | 3 | "Nyx" | | 4 | "Lights" |
| | places | | 0 | "London" | | 1 | "Richmond" | | 2 | "Park" | | 3 | "Fae" |
| | globalScore | 0.467 | | windowScore | 0.667 | |
| 7.14% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 35 | | glossingSentenceCount | 2 | | matches | | 0 | "breeze that seemed to blow from everywhere and nowhere at once" | | 1 | "looked like polished obsidian" |
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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 | 650 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 51 | | matches | (empty) | |
| 75.53% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 29.55 | | std | 12.24 | | cv | 0.414 | | sampleLengths | | 0 | 47 | | 1 | 22 | | 2 | 58 | | 3 | 27 | | 4 | 32 | | 5 | 29 | | 6 | 26 | | 7 | 45 | | 8 | 10 | | 9 | 17 | | 10 | 41 | | 11 | 30 | | 12 | 22 | | 13 | 31 | | 14 | 21 | | 15 | 28 | | 16 | 8 | | 17 | 44 | | 18 | 19 | | 19 | 40 | | 20 | 18 | | 21 | 35 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 41 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 91 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 51 | | ratio | 0.059 | | matches | | 0 | "The surface reflected nothing – not the strange sky above, nor their faces when they peered down." | | 1 | "Before her fingers could touch it, ripples spread across the pool – though nothing had disturbed it." | | 2 | "The carved symbols blazed in response, and for a moment, Aurora could read them – ancient words of power and protection, promises and warnings interwoven." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 483 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 14 | | adverbRatio | 0.028985507246376812 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.008281573498964804 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 51 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 51 | | mean | 12.75 | | std | 5.44 | | cv | 0.427 | | sampleLengths | | 0 | 14 | | 1 | 16 | | 2 | 17 | | 3 | 22 | | 4 | 15 | | 5 | 24 | | 6 | 19 | | 7 | 19 | | 8 | 8 | | 9 | 8 | | 10 | 11 | | 11 | 13 | | 12 | 15 | | 13 | 12 | | 14 | 2 | | 15 | 14 | | 16 | 12 | | 17 | 6 | | 18 | 21 | | 19 | 18 | | 20 | 10 | | 21 | 3 | | 22 | 14 | | 23 | 18 | | 24 | 6 | | 25 | 17 | | 26 | 13 | | 27 | 17 | | 28 | 12 | | 29 | 10 | | 30 | 12 | | 31 | 15 | | 32 | 4 | | 33 | 7 | | 34 | 8 | | 35 | 6 | | 36 | 11 | | 37 | 17 | | 38 | 8 | | 39 | 9 | | 40 | 10 | | 41 | 25 | | 42 | 11 | | 43 | 8 | | 44 | 12 | | 45 | 15 | | 46 | 13 | | 47 | 5 | | 48 | 13 | | 49 | 10 |
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| 73.86% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.49019607843137253 | | totalSentences | 51 | | uniqueOpeners | 25 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 38 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 6 | | totalSentences | 38 | | matches | | 0 | "It pulsed with unusual warmth," | | 1 | "She crouched to examine a" | | 2 | "Their petals caught the strange" | | 3 | "They ventured deeper into the" | | 4 | "Her pale lavender eyes reflected" | | 5 | "They drifted upward, casting rainbow" |
| | ratio | 0.158 | |
| 25.79% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 33 | | totalSentences | 38 | | matches | | 0 | "Aurora's breath caught as she" | | 1 | "The air shifted, became heavier" | | 2 | "Nyx's shadowy form drifted beside" | | 3 | "Nyx's whispered words rode the" | | 4 | "The grove sprawled before them," | | 5 | "Isolde glided ahead of them," | | 6 | "Aurora clutched the Heartstone pendant" | | 7 | "It pulsed with unusual warmth," | | 8 | "The carved symbols on the" | | 9 | "She crouched to examine a" | | 10 | "Their petals caught the strange" | | 11 | "Isolde's silver hair danced in" | | 12 | "They ventured deeper into the" | | 13 | "The ground sloped gently downward," | | 14 | "Aurora's hand kept straying to" | | 15 | "Aurora murmured, touching her lips" | | 16 | "Nyx's form rippled." | | 17 | "A clearing opened before them," | | 18 | "Aurora's steps slowed as they" | | 19 | "The surface reflected nothing –" |
| | ratio | 0.868 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 38 | | matches | | 0 | "Before her fingers could touch" |
| | ratio | 0.026 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 1 | | matches | | 0 | "Massive standing stones of gnarled oak wood formed a rough circle, their surfaces writhing with carved symbols that shifted when viewed from different angles." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 2 | | matches | | 0 | "Isolde knelt, her movements graceful and practiced" | | 1 | "Nyx said, their form coalescing slightly" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | 0 | "Aurora murmured (murmur)" |
| | dialogueSentences | 22 | | tagDensity | 0.227 | | leniency | 0.455 | | rawRatio | 0.2 | | effectiveRatio | 0.091 | |