| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1241 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 11.36% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1241 | | totalAiIsms | 22 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "scanned" | | 1 | "shimmered" | | 2 | "chilled" | | 3 | "warmth" | | 4 | "pulse" | | 5 | "depths" | | 6 | "silk" | | 7 | "silence" | | 8 | "profound" | | 9 | "crystal" | | 10 | "pulsed" | | 11 | "echoed" | | 12 | "intensity" | | 13 | "chill" | | 14 | "ensuring" | | 15 | "flickered" | | 16 | "footfall" | | 17 | "weight" | | 18 | "whisper" |
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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 | 153 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 1 | | narrationSentences | 153 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 153 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 22 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1241 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 9 | | matches | | 0 | "The roots dream, Nyx whispered." | | 1 | "The Veil thins where the old magic bleeds, Isolde murmured." | | 2 | "I bring tools, Rory replied." | | 3 | "The sun does not rule this pocket, Isolde called from ahead." | | 4 | "Wards, Nyx hissed." | | 5 | "The blade cuts wards, Rory said, keeping the point leveled at the tree." | | 6 | "Misdirection, Rory muttered." | | 7 | "Isolde said breath is currency, Rory said, eyeing the Seer." | | 8 | "Isolde misleads, Rory called up, voice tight." |
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| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 69 | | wordCount | 1241 | | uniqueNames | 16 | | maxNameDensity | 1.61 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Carter | 2 | | Fae-forged | 1 | | Nyx | 13 | | Rory | 20 | | Heartstone | 2 | | Hel | 1 | | Varga | 1 | | Veil | 1 | | Isolde | 11 | | Shade | 7 | | Richmond | 1 | | Park | 1 | | London | 1 | | Seer | 3 | | Aurora | 1 | | You | 3 |
| | persons | | 0 | "Carter" | | 1 | "Nyx" | | 2 | "Rory" | | 3 | "Heartstone" | | 4 | "Hel" | | 5 | "Varga" | | 6 | "Veil" | | 7 | "Isolde" | | 8 | "Shade" | | 9 | "Seer" | | 10 | "Aurora" | | 11 | "You" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" |
| | globalScore | 0.694 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 96 | | 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 | 1241 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 153 | | matches | (empty) | |
| 91.40% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 32.66 | | std | 15.35 | | cv | 0.47 | | sampleLengths | | 0 | 51 | | 1 | 46 | | 2 | 24 | | 3 | 54 | | 4 | 45 | | 5 | 32 | | 6 | 20 | | 7 | 29 | | 8 | 27 | | 9 | 83 | | 10 | 17 | | 11 | 40 | | 12 | 48 | | 13 | 13 | | 14 | 25 | | 15 | 44 | | 16 | 48 | | 17 | 10 | | 18 | 35 | | 19 | 16 | | 20 | 39 | | 21 | 44 | | 22 | 22 | | 23 | 23 | | 24 | 24 | | 25 | 25 | | 26 | 33 | | 27 | 15 | | 28 | 47 | | 29 | 32 | | 30 | 21 | | 31 | 61 | | 32 | 28 | | 33 | 36 | | 34 | 29 | | 35 | 13 | | 36 | 11 | | 37 | 31 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 153 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 237 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 153 | | ratio | 0.007 | | matches | | 0 | "Breath wasn't the issue; the cold was." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1246 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.018459069020866775 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.004815409309791332 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 153 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 153 | | mean | 8.11 | | std | 4.81 | | cv | 0.593 | | sampleLengths | | 0 | 18 | | 1 | 15 | | 2 | 8 | | 3 | 10 | | 4 | 18 | | 5 | 16 | | 6 | 12 | | 7 | 5 | | 8 | 12 | | 9 | 3 | | 10 | 4 | | 11 | 4 | | 12 | 9 | | 13 | 12 | | 14 | 7 | | 15 | 11 | | 16 | 2 | | 17 | 2 | | 18 | 7 | | 19 | 6 | | 20 | 15 | | 21 | 7 | | 22 | 17 | | 23 | 10 | | 24 | 10 | | 25 | 12 | | 26 | 5 | | 27 | 11 | | 28 | 4 | | 29 | 4 | | 30 | 3 | | 31 | 4 | | 32 | 18 | | 33 | 4 | | 34 | 18 | | 35 | 5 | | 36 | 7 | | 37 | 6 | | 38 | 12 | | 39 | 16 | | 40 | 13 | | 41 | 19 | | 42 | 10 | | 43 | 2 | | 44 | 8 | | 45 | 7 | | 46 | 7 | | 47 | 22 | | 48 | 5 | | 49 | 2 |
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| 40.96% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.3006535947712418 | | totalSentences | 153 | | uniqueOpeners | 46 | |
| 48.31% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 138 | | matches | | 0 | "Then the Seer raised a" | | 1 | "Then do not stop." |
| | ratio | 0.014 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 138 | | matches | | 0 | "She touched the pendant at" | | 1 | "Her silver hair fell like" | | 2 | "She left no mark upon" | | 3 | "Her voice carried the cadence" | | 4 | "You bring iron and shadow" | | 5 | "I bring tools, Rory replied." | | 6 | "She adjusted her stance, boots" | | 7 | "She turned her back, the" | | 8 | "They crossed the threshold together." | | 9 | "It coated her throat, thick" | | 10 | "I watch a petal fall." | | 11 | "She checked her watch." | | 12 | "She tapped the glass." | | 13 | "Her voice came from everywhere" | | 14 | "We follow the pulse of" | | 15 | "Its branches twisted into arches" | | 16 | "They seek to unmake me." | | 17 | "She slashed the air between" | | 18 | "We keep moving." | | 19 | "She gestured to the tunnel" |
| | ratio | 0.275 | |
| 25.22% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 120 | | totalSentences | 138 | | matches | | 0 | "Rory Carter stood before the" | | 1 | "The moonsilver dagger hummed, a" | | 2 | "Shadows peeled away from the" | | 3 | "Nyx hovered inches from the" | | 4 | "The roots dream, Nyx whispered." | | 5 | "The sound brushed against Rory's" | | 6 | "Tread with care." | | 7 | "The grove tastes intent." | | 8 | "Rory scanned the boundary." | | 9 | "She touched the pendant at" | | 10 | "The Heartstone remained dull, the" | | 11 | "The proximity alert for Hel" | | 12 | "Isolde Varga drifted past the" | | 13 | "Her silver hair fell like" | | 14 | "She left no mark upon" | | 15 | "The Veil thins where the" | | 16 | "Her voice carried the cadence" | | 17 | "You bring iron and shadow" | | 18 | "I bring tools, Rory replied." | | 19 | "She adjusted her stance, boots" |
| | ratio | 0.87 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 138 | | matches | (empty) | | ratio | 0 | |
| 93.60% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 58 | | technicalSentenceCount | 4 | | matches | | 0 | "Ancient oaks formed a ribcage against the sky, their bark twisted into agonized faces that wept amber sap." | | 1 | "The moonsilver dagger hummed, a vibration that rattled her teeth." | | 2 | "The light changed, shifting from grey London overcast to a bruised violet that bled into gold." | | 3 | "Her form flickered, becoming translucent for a heartbeat, as if the grove recalled its owner." |
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| 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 | |