| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 35 | | tagDensity | 0.6 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 84.67% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1305 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "perfectly" | | 1 | "slightly" | | 2 | "sharply" |
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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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1305 | | totalAiIsms | 39 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | |
| | highlights | | 0 | "silk" | | 1 | "chill" | | 2 | "scanned" | | 3 | "gloom" | | 4 | "stark" | | 5 | "whisper" | | 6 | "rhythmic" | | 7 | "pulsed" | | 8 | "shattered" | | 9 | "vibrated" | | 10 | "crystal" | | 11 | "lilt" | | 12 | "throbbed" | | 13 | "warmth" | | 14 | "traced" | | 15 | "intricate" | | 16 | "shimmered" | | 17 | "stomach" | | 18 | "churn" | | 19 | "weight" | | 20 | "echoed" | | 21 | "perfect" | | 22 | "oppressive" | | 23 | "tension" | | 24 | "trembled" |
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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 | 90 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 90 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 104 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1305 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 38.79% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 54 | | wordCount | 1124 | | uniqueNames | 12 | | maxNameDensity | 2.22 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | London | 1 | | Rory | 25 | | Fae-forged | 1 | | Nyx | 8 | | Heartstone | 2 | | Dymas | 1 | | Isolde | 10 | | Hel | 1 | | Fae | 2 | | Veil | 1 |
| | persons | | 0 | "Rory" | | 1 | "Nyx" | | 2 | "Dymas" | | 3 | "Isolde" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "Hel" | | 4 | "Veil" |
| | globalScore | 0.388 | | windowScore | 0.5 | |
| 89.76% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 83 | | glossingSentenceCount | 2 | | matches | | 0 | "sounded like distant, weeping children" | | 1 | "felt like dry ice against her palm" |
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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 | 1305 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 104 | | matches | (empty) | |
| 98.23% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 30.35 | | std | 14.99 | | cv | 0.494 | | sampleLengths | | 0 | 68 | | 1 | 31 | | 2 | 35 | | 3 | 27 | | 4 | 37 | | 5 | 12 | | 6 | 29 | | 7 | 60 | | 8 | 30 | | 9 | 33 | | 10 | 22 | | 11 | 23 | | 12 | 38 | | 13 | 16 | | 14 | 43 | | 15 | 18 | | 16 | 19 | | 17 | 72 | | 18 | 25 | | 19 | 38 | | 20 | 33 | | 21 | 17 | | 22 | 23 | | 23 | 21 | | 24 | 65 | | 25 | 14 | | 26 | 27 | | 27 | 36 | | 28 | 25 | | 29 | 22 | | 30 | 45 | | 31 | 11 | | 32 | 18 | | 33 | 42 | | 34 | 40 | | 35 | 7 | | 36 | 40 | | 37 | 18 | | 38 | 43 | | 39 | 19 | | 40 | 23 | | 41 | 24 | | 42 | 16 |
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| 97.47% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 90 | | matches | | 0 | "were shattered" | | 1 | "were warped" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 176 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 104 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1134 | | adjectiveStacks | 1 | | stackExamples | | 0 | "heavy, spice-laden humidity" |
| | adverbCount | 20 | | adverbRatio | 0.01763668430335097 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.01146384479717813 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 104 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 104 | | mean | 12.55 | | std | 5.83 | | cv | 0.465 | | sampleLengths | | 0 | 9 | | 1 | 16 | | 2 | 16 | | 3 | 27 | | 4 | 6 | | 5 | 13 | | 6 | 12 | | 7 | 4 | | 8 | 7 | | 9 | 24 | | 10 | 27 | | 11 | 8 | | 12 | 12 | | 13 | 17 | | 14 | 12 | | 15 | 21 | | 16 | 8 | | 17 | 5 | | 18 | 10 | | 19 | 19 | | 20 | 26 | | 21 | 18 | | 22 | 12 | | 23 | 9 | | 24 | 18 | | 25 | 6 | | 26 | 12 | | 27 | 10 | | 28 | 23 | | 29 | 10 | | 30 | 13 | | 31 | 15 | | 32 | 16 | | 33 | 7 | | 34 | 9 | | 35 | 5 | | 36 | 22 | | 37 | 11 | | 38 | 7 | | 39 | 8 | | 40 | 11 | | 41 | 13 | | 42 | 18 | | 43 | 18 | | 44 | 23 | | 45 | 15 | | 46 | 10 | | 47 | 6 | | 48 | 17 | | 49 | 15 |
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| 52.88% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.375 | | totalSentences | 104 | | uniqueOpeners | 39 | |
| 37.04% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 90 | | matches | | 0 | "Faintly glowing violet eyes scanned" |
| | ratio | 0.011 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 10 | | totalSentences | 90 | | matches | | 0 | "Her silver hair caught the" | | 1 | "Her fingers brushed the hilt" | | 2 | "She drew the leaf-shaped blade." | | 3 | "She reached under her shirt" | | 4 | "She kept her center of" | | 5 | "She caught her balance and" | | 6 | "They weren't fish." | | 7 | "They were faces, frozen in" | | 8 | "They reached the bottom of" | | 9 | "Their hollow eyes tracked her" |
| | ratio | 0.111 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 84 | | totalSentences | 90 | | matches | | 0 | "The air tore with the" | | 1 | "Rory pushed through the shimmering" | | 2 | "The winter chill of London" | | 3 | "Nyx flowed through the barrier" | | 4 | "The shade’s humanoid silhouette rippled," | | 5 | "Isolde stepped through last." | | 6 | "The half-fae seer glided over" | | 7 | "Her silver hair caught the" | | 8 | "Isolde's pale lavender eyes fixed" | | 9 | "Rory adjusted the strap of" | | 10 | "Her fingers brushed the hilt" | | 11 | "The Fae-forged blade radiated a" | | 12 | "Rory scanned the perimeter, keeping" | | 13 | "Nyx’s violet eyes swept across" | | 14 | "Rory took a step forward." | | 15 | "The moss compressed and released" | | 16 | "Veins of liquid gold pulsed" | | 17 | "Isolde pointed a slender finger" | | 18 | "Rory pulled her hand back" | | 19 | "The mirrored leaves chimed together" |
| | ratio | 0.933 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 90 | | matches | (empty) | | ratio | 0 | |
| 49.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 6 | | matches | | 0 | "Rory pushed through the shimmering distortion, her boots sinking into soil that breathed against her soles." | | 1 | "The winter chill of London vanished, replaced by a heavy, spice-laden humidity that clung to her skin and filled her lungs with the taste of crushed petals." | | 2 | "Bridges of hardened light connected towering spires that defied gravity, curving inward like the ribs of a leviathan." | | 3 | "The architecture possessed a fluid, organic geometry that hurt the eyes to track, shifting slightly when viewed from the corner of the vision." | | 4 | "Half the spires were shattered, overgrown with thick, pulsing vines that throbbed with a sickly green light." | | 5 | "She kept her center of gravity low, testing each step before committing her weight, her boots squeaking against the smooth surface." |
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| 77.38% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 2 | | matches | | 0 | "Nyx’s violet eyes swept, their voice a whisper carried on a sudden, warm breeze" | | 1 | "Isolde stepped, her pale eyes reflecting the crimson glow" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 35 | | tagDensity | 0.029 | | leniency | 0.057 | | rawRatio | 1 | | effectiveRatio | 0.057 | |