| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 1 | | adverbTags | | 0 | "their voice carried back [back]" |
| | dialogueSentences | 50 | | tagDensity | 0.1 | | leniency | 0.2 | | rawRatio | 0.2 | | effectiveRatio | 0.04 | |
| 90.90% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1649 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "very" | | 1 | "perfectly" | | 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) | |
| 69.68% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1649 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "trembled" | | 1 | "pulse" | | 2 | "warmth" | | 3 | "weight" | | 4 | "stomach" | | 5 | "lurched" | | 6 | "flickered" | | 7 | "pulsed" |
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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 | 157 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 157 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 202 | | 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 | 1646 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 46.83% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 63 | | wordCount | 1357 | | uniqueNames | 9 | | maxNameDensity | 2.06 | | worstName | "Aurora" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Aurora" | | discoveredNames | | Silas | 3 | | Fae-forged | 1 | | London | 5 | | Aurora | 28 | | Veil | 2 | | Heartstone | 3 | | Isolde | 10 | | Fae | 2 | | Nyx | 9 |
| | persons | | 0 | "Silas" | | 1 | "Aurora" | | 2 | "Veil" | | 3 | "Heartstone" | | 4 | "Isolde" | | 5 | "Nyx" |
| | places | | | globalScore | 0.468 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 104 | | glossingSentenceCount | 1 | | matches | | 0 | "as though drowning in water" |
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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 | 1646 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 202 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 131 | | mean | 12.56 | | std | 14.68 | | cv | 1.169 | | sampleLengths | | 0 | 18 | | 1 | 5 | | 2 | 54 | | 3 | 21 | | 4 | 6 | | 5 | 30 | | 6 | 8 | | 7 | 32 | | 8 | 11 | | 9 | 6 | | 10 | 23 | | 11 | 4 | | 12 | 3 | | 13 | 4 | | 14 | 45 | | 15 | 4 | | 16 | 19 | | 17 | 7 | | 18 | 9 | | 19 | 6 | | 20 | 6 | | 21 | 5 | | 22 | 28 | | 23 | 15 | | 24 | 6 | | 25 | 2 | | 26 | 4 | | 27 | 22 | | 28 | 2 | | 29 | 4 | | 30 | 42 | | 31 | 8 | | 32 | 5 | | 33 | 41 | | 34 | 2 | | 35 | 4 | | 36 | 74 | | 37 | 7 | | 38 | 55 | | 39 | 2 | | 40 | 14 | | 41 | 5 | | 42 | 16 | | 43 | 2 | | 44 | 24 | | 45 | 4 | | 46 | 14 | | 47 | 1 | | 48 | 5 | | 49 | 31 |
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| 98.56% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 157 | | matches | | 0 | "being struck" | | 1 | "been built" | | 2 | "been polished" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 230 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 202 | | ratio | 0.015 | | matches | | 0 | "This held layers—dark berries, spice, smoke, honey and a metallic note that sat on the back of her tongue." | | 1 | "Then it split into hundreds of voices—cheers, clapping, whistles and bursts of laughter." | | 2 | "Music drifted across the terraces—strings, drums and the steady clang of metal against metal." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1365 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.021245421245421246 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.002197802197802198 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 202 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 202 | | mean | 8.15 | | std | 5.03 | | cv | 0.617 | | sampleLengths | | 0 | 18 | | 1 | 5 | | 2 | 25 | | 3 | 11 | | 4 | 18 | | 5 | 16 | | 6 | 5 | | 7 | 6 | | 8 | 6 | | 9 | 14 | | 10 | 10 | | 11 | 8 | | 12 | 3 | | 13 | 14 | | 14 | 11 | | 15 | 4 | | 16 | 11 | | 17 | 6 | | 18 | 7 | | 19 | 16 | | 20 | 4 | | 21 | 3 | | 22 | 4 | | 23 | 11 | | 24 | 20 | | 25 | 14 | | 26 | 4 | | 27 | 7 | | 28 | 12 | | 29 | 7 | | 30 | 9 | | 31 | 6 | | 32 | 6 | | 33 | 5 | | 34 | 14 | | 35 | 5 | | 36 | 9 | | 37 | 10 | | 38 | 5 | | 39 | 6 | | 40 | 2 | | 41 | 4 | | 42 | 22 | | 43 | 2 | | 44 | 4 | | 45 | 12 | | 46 | 19 | | 47 | 7 | | 48 | 4 | | 49 | 8 |
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| 57.59% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.36633663366336633 | | totalSentences | 202 | | uniqueOpeners | 74 | |
| 45.98% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 145 | | matches | | 0 | "Then she tied her black" | | 1 | "Then it split into hundreds" |
| | ratio | 0.014 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 145 | | matches | | 0 | "Her silver hair brushed the" | | 1 | "She raised one pale hand" | | 2 | "Her fingers trembled once." | | 3 | "Its deep crimson glow pressed" | | 4 | "She checked the small torch" | | 5 | "Her pale lavender eyes fixed" | | 6 | "Their body stretched into a" | | 7 | "their voice carried back, thin" | | 8 | "Her stomach lurched, her ears" | | 9 | "Her boots struck stone." | | 10 | "She bent over and dragged" | | 11 | "Their trunks twisted around pillars" | | 12 | "She stood with one hand" | | 13 | "It seemed very far away." | | 14 | "It had been built from" | | 15 | "They crouched and pressed two" | | 16 | "It shook the path under" | | 17 | "They had four wings apiece" | | 18 | "Their feathers glittered in shades" | | 19 | "It blinked at her, then" |
| | ratio | 0.221 | |
| 18.62% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 128 | | totalSentences | 145 | | matches | | 0 | "The doorway opened in the" | | 1 | "Aurora lifted the Fae-forged blade." | | 2 | "The slender dagger had rested" | | 3 | "Amber spilled through the rift" | | 4 | "Heat rolled from the opening," | | 5 | "Nyx stood beside her, their" | | 6 | "Violet eyes watched the gap." | | 7 | "Aurora glanced at the ragged" | | 8 | "The Veil had split along" | | 9 | "Isolde drifted closer." | | 10 | "Her silver hair brushed the" | | 11 | "She raised one pale hand" | | 12 | "Her fingers trembled once." | | 13 | "The Heartstone pendant warmed beneath" | | 14 | "Its deep crimson glow pressed" | | 15 | "Nyx tilted their head." | | 16 | "Aurora tucked the dagger into" | | 17 | "She checked the small torch" | | 18 | "Isolde caught her wrist." | | 19 | "The seer’s fingers felt cool" |
| | ratio | 0.883 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 145 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 1 | | matches | | 0 | "The slender dagger had rested cold against her palm all evening, but now its moonsilver edge caught a light that did not belong in London." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 70.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 4 | | fancyTags | | 0 | "they whispered (whisper)" | | 1 | "Aurora muttered (mutter)" | | 2 | "Isolde murmured (murmur)" | | 3 | "they whispered (whisper)" |
| | dialogueSentences | 50 | | tagDensity | 0.08 | | leniency | 0.16 | | rawRatio | 1 | | effectiveRatio | 0.16 | |