| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 74 | | tagDensity | 0.176 | | leniency | 0.351 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.23% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1732 | | 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) | |
| 85.57% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1732 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "pulsed" | | 1 | "trembled" | | 2 | "determined" | | 3 | "warmth" |
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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 | 182 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 182 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 243 | | 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 | 1732 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.81% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 77 | | wordCount | 1377 | | uniqueNames | 10 | | maxNameDensity | 2.32 | | worstName | "Aurora" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 2 | | Park | 2 | | Fae-forged | 1 | | Nyx | 14 | | Isolde | 18 | | Heartstone | 2 | | Aurora | 32 | | Eva | 1 | | Fae | 2 | | One | 3 |
| | persons | | 0 | "Nyx" | | 1 | "Isolde" | | 2 | "Heartstone" | | 3 | "Aurora" | | 4 | "Eva" |
| | places | | | globalScore | 0.338 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 103 | | glossingSentenceCount | 2 | | matches | | 0 | "appeared behind the nearest window" | | 1 | "seemed diminished by the sight" |
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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 | 1732 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 243 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 164 | | mean | 10.56 | | std | 12.35 | | cv | 1.169 | | sampleLengths | | 0 | 13 | | 1 | 40 | | 2 | 12 | | 3 | 51 | | 4 | 3 | | 5 | 10 | | 6 | 7 | | 7 | 10 | | 8 | 14 | | 9 | 4 | | 10 | 8 | | 11 | 10 | | 12 | 3 | | 13 | 33 | | 14 | 5 | | 15 | 7 | | 16 | 4 | | 17 | 12 | | 18 | 57 | | 19 | 5 | | 20 | 24 | | 21 | 23 | | 22 | 4 | | 23 | 3 | | 24 | 4 | | 25 | 4 | | 26 | 12 | | 27 | 8 | | 28 | 11 | | 29 | 6 | | 30 | 57 | | 31 | 5 | | 32 | 3 | | 33 | 7 | | 34 | 9 | | 35 | 2 | | 36 | 7 | | 37 | 1 | | 38 | 46 | | 39 | 35 | | 40 | 13 | | 41 | 10 | | 42 | 6 | | 43 | 3 | | 44 | 2 | | 45 | 10 | | 46 | 18 | | 47 | 5 | | 48 | 7 | | 49 | 9 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 182 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 241 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 243 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1381 | | adjectiveStacks | 1 | | stackExamples | | 0 | "visible beneath translucent skin." |
| | adverbCount | 27 | | adverbRatio | 0.01955104996379435 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.004344677769732078 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 243 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 243 | | mean | 7.13 | | std | 4.39 | | cv | 0.616 | | sampleLengths | | 0 | 13 | | 1 | 16 | | 2 | 10 | | 3 | 14 | | 4 | 12 | | 5 | 11 | | 6 | 17 | | 7 | 9 | | 8 | 14 | | 9 | 3 | | 10 | 4 | | 11 | 6 | | 12 | 7 | | 13 | 10 | | 14 | 7 | | 15 | 7 | | 16 | 4 | | 17 | 8 | | 18 | 10 | | 19 | 3 | | 20 | 8 | | 21 | 13 | | 22 | 4 | | 23 | 8 | | 24 | 5 | | 25 | 7 | | 26 | 4 | | 27 | 12 | | 28 | 5 | | 29 | 14 | | 30 | 12 | | 31 | 18 | | 32 | 8 | | 33 | 5 | | 34 | 2 | | 35 | 2 | | 36 | 20 | | 37 | 5 | | 38 | 5 | | 39 | 13 | | 40 | 4 | | 41 | 3 | | 42 | 4 | | 43 | 4 | | 44 | 5 | | 45 | 7 | | 46 | 8 | | 47 | 11 | | 48 | 6 | | 49 | 2 |
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| 53.91% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.3333333333333333 | | totalSentences | 243 | | uniqueOpeners | 81 | |
| 20.83% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 160 | | matches | | 0 | "Even their shadow seemed diminished" |
| | ratio | 0.006 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 160 | | matches | | 0 | "She stopped with one hand" | | 1 | "Their tall silhouette gathered itself" | | 2 | "Her silver hair drifted around" | | 3 | "She drew it out." | | 4 | "Their bark shone pale blue," | | 5 | "Its leaf-shaped blade gave off" | | 6 | "She walked towards the root" | | 7 | "Its stones were smooth, dark" | | 8 | "It settled in her bones," | | 9 | "It came from the path," | | 10 | "Their hand sank into the" | | 11 | "She stopped at the edge" | | 12 | "Her ears caught whispers in" | | 13 | "She turned sharply." | | 14 | "It sounded like Eva." | | 15 | "She forced her gaze ahead." | | 16 | "Their shoulder brushed hers, colder" | | 17 | "It had the body of" | | 18 | "Its face held no eyes." | | 19 | "Its hooves struck the path" |
| | ratio | 0.181 | |
| 35.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 136 | | totalSentences | 160 | | matches | | 0 | "Aurora stepped between the standing" | | 1 | "The next, the air tasted" | | 2 | "She stopped with one hand" | | 3 | "Their tall silhouette gathered itself" | | 4 | "Isolde followed without disturbing a" | | 5 | "Her silver hair drifted around" | | 6 | "Aurora glanced back." | | 7 | "The standing stones remained." | | 8 | "Isolde lifted her pale lavender" | | 9 | "Nyx’s voice brushed across the" | | 10 | "Aurora touched the Heartstone pendant" | | 11 | "The deep crimson stone pulsed" | | 12 | "She drew it out." | | 13 | "A faint inner glow trembled" | | 14 | "Isolde’s gaze fixed on it." | | 15 | "Aurora looked across the grove." | | 16 | "Wildflowers spread in dense carpets" | | 17 | "Their bark shone pale blue," | | 18 | "Something chimed in the distance." | | 19 | "The sound rang from within" |
| | ratio | 0.85 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 160 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 56 | | technicalSentenceCount | 2 | | matches | | 0 | "Isolde studied the pendant with an expression that sharpened the lines around her eyes." | | 1 | "Lanterns floated along the streets, each one containing a small blue flame and a shadow that moved against the light." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 95.95% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 4 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "Isolde warned (warn)" | | 2 | "it whispered (whisper)" | | 3 | "it repeated (repeat)" |
| | dialogueSentences | 74 | | tagDensity | 0.176 | | leniency | 0.351 | | rawRatio | 0.308 | | effectiveRatio | 0.108 | |