| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 95.99% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1246 | | totalAiIsmAdverbs | 1 | | 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) | |
| 15.73% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1246 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "loomed" | | 1 | "etched" | | 2 | "shimmered" | | 3 | "weight" | | 4 | "silence" | | 5 | "gloom" | | 6 | "pulsed" | | 7 | "scanned" | | 8 | "vibrated" | | 9 | "structure" | | 10 | "warmth" | | 11 | "chill" | | 12 | "sanctuary" | | 13 | "unreadable" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "weight of words/silence" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 173 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 173 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 173 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 22 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1244 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 77.65% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 55 | | wordCount | 1244 | | uniqueNames | 12 | | maxNameDensity | 1.45 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Nyx" | | discoveredNames | | Aurora | 18 | | Heartstone | 1 | | Pendant | 1 | | Hel | 1 | | London | 1 | | Fae-Forged | 1 | | Blade | 1 | | Isolde | 12 | | Seer | 3 | | Veil | 2 | | Nyx | 13 | | Shade-hound | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Pendant" | | 2 | "Blade" | | 3 | "Isolde" | | 4 | "Seer" | | 5 | "Veil" | | 6 | "Nyx" |
| | places | | | globalScore | 0.777 | | windowScore | 0.833 | |
| 65.73% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 89 | | glossingSentenceCount | 3 | | matches | | 0 | "sounded like dry leaves skittering on pave" | | 1 | "looked like a wolf, but its fur shifted l" | | 2 | "looked like a ruin from a forgotten age," |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.804 | | wordCount | 1244 | | matches | | 0 | "not from her mouth, but from the space between the stones" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 173 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 57 | | mean | 21.82 | | std | 12.29 | | cv | 0.563 | | sampleLengths | | 0 | 57 | | 1 | 34 | | 2 | 26 | | 3 | 26 | | 4 | 18 | | 5 | 33 | | 6 | 29 | | 7 | 24 | | 8 | 24 | | 9 | 25 | | 10 | 55 | | 11 | 15 | | 12 | 14 | | 13 | 51 | | 14 | 34 | | 15 | 29 | | 16 | 9 | | 17 | 14 | | 18 | 26 | | 19 | 42 | | 20 | 17 | | 21 | 16 | | 22 | 19 | | 23 | 39 | | 24 | 9 | | 25 | 16 | | 26 | 15 | | 27 | 24 | | 28 | 18 | | 29 | 48 | | 30 | 14 | | 31 | 12 | | 32 | 31 | | 33 | 10 | | 34 | 29 | | 35 | 18 | | 36 | 19 | | 37 | 14 | | 38 | 16 | | 39 | 5 | | 40 | 16 | | 41 | 8 | | 42 | 31 | | 43 | 17 | | 44 | 14 | | 45 | 40 | | 46 | 7 | | 47 | 13 | | 48 | 20 | | 49 | 16 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 173 | | 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 | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 173 | | ratio | 0.012 | | matches | | 0 | "The grey London sky vanished, replaced by a canopy of leaves that shimmered in impossible hues—violet, gold, deep indigo." | | 1 | "The light from the blade revealed carvings on the walls—figures bound in chains, screaming silently." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1253 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.023942537909018357 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.010375099760574621 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 173 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 173 | | mean | 7.19 | | std | 4.29 | | cv | 0.597 | | sampleLengths | | 0 | 18 | | 1 | 14 | | 2 | 15 | | 3 | 10 | | 4 | 4 | | 5 | 12 | | 6 | 18 | | 7 | 12 | | 8 | 14 | | 9 | 4 | | 10 | 15 | | 11 | 7 | | 12 | 4 | | 13 | 5 | | 14 | 9 | | 15 | 9 | | 16 | 16 | | 17 | 8 | | 18 | 3 | | 19 | 4 | | 20 | 3 | | 21 | 12 | | 22 | 7 | | 23 | 8 | | 24 | 9 | | 25 | 5 | | 26 | 2 | | 27 | 13 | | 28 | 11 | | 29 | 4 | | 30 | 7 | | 31 | 14 | | 32 | 5 | | 33 | 4 | | 34 | 19 | | 35 | 12 | | 36 | 15 | | 37 | 4 | | 38 | 11 | | 39 | 1 | | 40 | 13 | | 41 | 10 | | 42 | 11 | | 43 | 5 | | 44 | 10 | | 45 | 4 | | 46 | 11 | | 47 | 7 | | 48 | 10 | | 49 | 17 |
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| 43.06% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.2023121387283237 | | totalSentences | 173 | | uniqueOpeners | 35 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 160 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 160 | | matches | | 0 | "Her hair lifted slightly from" | | 1 | "Her bare feet met the" | | 2 | "It presses against the ribs." | | 3 | "It flared hotter as they" | | 4 | "It's too steady." | | 5 | "She pulled the pendant out," | | 6 | "We stand on the edge" | | 7 | "I feel the pull." | | 8 | "She drew a breath, and" | | 9 | "She unclipped the leather strap." | | 10 | "She drew the blade." | | 11 | "She scanned the dense foliage." | | 12 | "You may find you have" | | 13 | "She tapped the glass face." | | 14 | "It didn't break." | | 15 | "She looked at Isolde." | | 16 | "She pulled it free." | | 17 | "It's reacting to something." | | 18 | "They leaned over the surface." | | 19 | "It is not my face." |
| | ratio | 0.244 | |
| 0.63% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 147 | | totalSentences | 160 | | matches | | 0 | "The ancient oak standing stones" | | 1 | "Aurora adjusted the strap of" | | 2 | "The air pressure dropped, popping" | | 3 | "Her hair lifted slightly from" | | 4 | "Isolde stepped forward first." | | 5 | "Her bare feet met the" | | 6 | "The path opens only to" | | 7 | "Isolde's voice floated, not from" | | 8 | "Nyx shifted beside Aurora." | | 9 | "The shadow-figure solidified, taking on" | | 10 | "Violet eyes glowed faintly in" | | 11 | "Silence is heavy here." | | 12 | "It presses against the ribs." | | 13 | "Nyx's voice sounded like dry" | | 14 | "Aurora reached for the Heartstone" | | 15 | "The deep crimson gem pulsed" | | 16 | "It flared hotter as they" | | 17 | "This isn't Hel." | | 18 | "The heat is wrong." | | 19 | "It's too steady." |
| | ratio | 0.919 | |
| 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 | 53 | | technicalSentenceCount | 3 | | matches | | 0 | "The ancient oak standing stones loomed ahead, their bark etched with runes that shimmered like oil on water." | | 1 | "Nyx raised a hand, fingers passing through the air as if it were water." | | 2 | "The grey London sky vanished, replaced by a canopy of leaves that shimmered in impossible hues—violet, gold, deep indigo." |
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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 | |