| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 87.60% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1210 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "lazily" | | 1 | "slightly" | | 2 | "slowly" |
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| 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) | |
| 9.09% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1210 | | totalAiIsms | 22 | | found | | | highlights | | 0 | "warmth" | | 1 | "pulsed" | | 2 | "echo" | | 3 | "vibrated" | | 4 | "intricate" | | 5 | "weight" | | 6 | "fractured" | | 7 | "resonated" | | 8 | "traced" | | 9 | "crystal" | | 10 | "flickered" | | 11 | "quickened" | | 12 | "echoed" | | 13 | "gloom" | | 14 | "etched" | | 15 | "rhythmic" |
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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 | 246 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 2 | | narrationSentences | 246 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 246 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 15 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1210 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 9 | | matches | | 0 | "The air here remembers weight, they whispered." | | 1 | "Dymas, Isolde murmured." | | 2 | "Keep moving, Nyx said." | | 3 | "Time pools here, Isolde said." | | 4 | "Do not look directly at the spheres, Nyx warned." | | 5 | "The Veil thins here, Isolde said." | | 6 | "It does not like the moonlight, Nyx whispered." | | 7 | "One path feeds, Isolde said." | | 8 | "The stone remembers what was swallowed, Isolde said." |
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| 79.75% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 58 | | wordCount | 1210 | | uniqueNames | 13 | | maxNameDensity | 1.4 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 17 | | Fae-Forged | 1 | | Blade | 1 | | Heartstone | 3 | | Pendant | 1 | | Isolde | 14 | | Nyx | 7 | | Fae | 3 | | Veil | 1 | | Wards | 1 | | Cold | 3 | | Left | 3 | | Right | 3 |
| | persons | | 0 | "Rory" | | 1 | "Blade" | | 2 | "Pendant" | | 3 | "Isolde" | | 4 | "Nyx" | | 5 | "Veil" | | 6 | "Wards" |
| | places | | | globalScore | 0.798 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 97 | | 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 | 1210 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 246 | | matches | (empty) | |
| 73.81% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 33.61 | | std | 13.72 | | cv | 0.408 | | sampleLengths | | 0 | 66 | | 1 | 22 | | 2 | 37 | | 3 | 52 | | 4 | 15 | | 5 | 39 | | 6 | 28 | | 7 | 52 | | 8 | 19 | | 9 | 25 | | 10 | 17 | | 11 | 52 | | 12 | 25 | | 13 | 34 | | 14 | 29 | | 15 | 37 | | 16 | 49 | | 17 | 30 | | 18 | 32 | | 19 | 33 | | 20 | 43 | | 21 | 50 | | 22 | 19 | | 23 | 36 | | 24 | 53 | | 25 | 34 | | 26 | 39 | | 27 | 19 | | 28 | 11 | | 29 | 47 | | 30 | 17 | | 31 | 37 | | 32 | 47 | | 33 | 19 | | 34 | 38 | | 35 | 8 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 246 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 239 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 246 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1212 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.026402640264026403 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.004125412541254125 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 246 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 246 | | mean | 4.92 | | std | 2.62 | | cv | 0.533 | | sampleLengths | | 0 | 10 | | 1 | 8 | | 2 | 7 | | 3 | 8 | | 4 | 10 | | 5 | 13 | | 6 | 10 | | 7 | 3 | | 8 | 9 | | 9 | 6 | | 10 | 4 | | 11 | 3 | | 12 | 7 | | 13 | 7 | | 14 | 6 | | 15 | 4 | | 16 | 10 | | 17 | 3 | | 18 | 3 | | 19 | 8 | | 20 | 8 | | 21 | 8 | | 22 | 7 | | 23 | 6 | | 24 | 2 | | 25 | 2 | | 26 | 5 | | 27 | 3 | | 28 | 2 | | 29 | 5 | | 30 | 5 | | 31 | 2 | | 32 | 3 | | 33 | 7 | | 34 | 7 | | 35 | 3 | | 36 | 3 | | 37 | 5 | | 38 | 2 | | 39 | 2 | | 40 | 5 | | 41 | 2 | | 42 | 3 | | 43 | 2 | | 44 | 7 | | 45 | 6 | | 46 | 8 | | 47 | 3 | | 48 | 6 | | 49 | 10 |
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| 47.15% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 19 | | diversityRatio | 0.32926829268292684 | | totalSentences | 246 | | uniqueOpeners | 81 | |
| 16.75% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 199 | | matches | | 0 | "Then it surged forward." |
| | ratio | 0.005 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 49 | | totalSentences | 199 | | matches | | 0 | "Her boots found purchase on" | | 1 | "Their form bled into the" | | 2 | "They moved without sound." | | 3 | "She tilted her head." | | 4 | "Her pale lavender eyes tracked" | | 5 | "You feel that?" | | 6 | "Her voice carried no echo." | | 7 | "It wrapped around them instead." | | 8 | "She tapped the pendant against" | | 9 | "Their silhouette solidified." | | 10 | "Their mouths opened wide." | | 11 | "Her words hung in the" | | 12 | "She stepped back." | | 13 | "They drifted lazily, colliding with" | | 14 | "She rubbed her jaw." | | 15 | "Her silver hair brushed the" | | 16 | "She did not leave tracks." | | 17 | "She traced a line in" | | 18 | "She tapped the crystal face." | | 19 | "She slipped the watch into" |
| | ratio | 0.246 | |
| 20.30% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 175 | | totalSentences | 199 | | matches | | 0 | "The iron door sealed behind" | | 1 | "Dust fell from the ceiling" | | 2 | "Rory brushed damp hair from" | | 3 | "The air tasted of copper" | | 4 | "Her boots found purchase on" | | 5 | "The walls rose upward, vanishing" | | 6 | "Nyx drifted ahead." | | 7 | "Their form bled into the" | | 8 | "They moved without sound." | | 9 | "Isolde walked barefoot." | | 10 | "The stone did not mark" | | 11 | "Wildflowers pushed through cracks in" | | 12 | "She tilted her head." | | 13 | "Her pale lavender eyes tracked" | | 14 | "The stairs narrowed." | | 15 | "The ceiling dipped." | | 16 | "Rory pressed her shoulder against" | | 17 | "The Fae-Forged Blade hung heavy" | | 18 | "The Heartstone Pendant pressed against" | | 19 | "Warmth pulsed through the silver" |
| | ratio | 0.879 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 199 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 13 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |