| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 83.51% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2122 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "softly" | | 1 | "sharply" | | 2 | "slowly" | | 3 | "suddenly" | | 4 | "slightly" | | 5 | "quickly" | | 6 | "gently" |
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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) | |
| 5.75% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2122 | | totalAiIsms | 40 | | 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 | | | 25 | | | 26 | | | 27 | | | 28 | |
| | highlights | | 0 | "tracing" | | 1 | "rhythmic" | | 2 | "warmth" | | 3 | "weight" | | 4 | "navigated" | | 5 | "echoed" | | 6 | "trembled" | | 7 | "perfect" | | 8 | "pulse" | | 9 | "quickened" | | 10 | "silence" | | 11 | "vibrated" | | 12 | "footsteps" | | 13 | "measured" | | 14 | "pulsed" | | 15 | "scanned" | | 16 | "marble" | | 17 | "long shadow" | | 18 | "traced" | | 19 | "gloom" | | 20 | "velvet" | | 21 | "chilled" | | 22 | "desire" | | 23 | "tension" | | 24 | "silk" | | 25 | "fractured" | | 26 | "aligned" | | 27 | "unreadable" | | 28 | "echoes" |
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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 | 375 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 375 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 375 | | 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 | 2122 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 81.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 79 | | wordCount | 2122 | | uniqueNames | 11 | | maxNameDensity | 1.37 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Nyx | 17 | | Heartstone | 4 | | Aurora | 29 | | Fae-forged | 1 | | Latin | 1 | | Veil | 1 | | Isolde | 11 | | Cold | 4 | | One | 3 | | Water | 4 | | Boots | 4 |
| | persons | | 0 | "Nyx" | | 1 | "Heartstone" | | 2 | "Aurora" | | 3 | "Veil" | | 4 | "Isolde" | | 5 | "Cold" | | 6 | "Water" | | 7 | "Boots" |
| | places | (empty) | | globalScore | 0.817 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 159 | | 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 | 2122 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 375 | | matches | (empty) | |
| 99.56% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 45.15 | | std | 22.5 | | cv | 0.498 | | sampleLengths | | 0 | 71 | | 1 | 60 | | 2 | 61 | | 3 | 21 | | 4 | 81 | | 5 | 24 | | 6 | 65 | | 7 | 16 | | 8 | 69 | | 9 | 67 | | 10 | 25 | | 11 | 19 | | 12 | 76 | | 13 | 18 | | 14 | 62 | | 15 | 31 | | 16 | 24 | | 17 | 54 | | 18 | 16 | | 19 | 57 | | 20 | 62 | | 21 | 19 | | 22 | 80 | | 23 | 60 | | 24 | 8 | | 25 | 99 | | 26 | 29 | | 27 | 28 | | 28 | 63 | | 29 | 33 | | 30 | 48 | | 31 | 81 | | 32 | 25 | | 33 | 53 | | 34 | 34 | | 35 | 15 | | 36 | 25 | | 37 | 25 | | 38 | 47 | | 39 | 58 | | 40 | 44 | | 41 | 62 | | 42 | 61 | | 43 | 51 | | 44 | 20 | | 45 | 53 | | 46 | 22 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 375 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 431 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 375 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 2128 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 70 | | adverbRatio | 0.03289473684210526 | | lyAdverbCount | 26 | | lyAdverbRatio | 0.012218045112781954 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 375 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 375 | | mean | 5.66 | | std | 3.91 | | cv | 0.69 | | sampleLengths | | 0 | 6 | | 1 | 11 | | 2 | 20 | | 3 | 19 | | 4 | 15 | | 5 | 14 | | 6 | 12 | | 7 | 7 | | 8 | 12 | | 9 | 8 | | 10 | 7 | | 11 | 8 | | 12 | 13 | | 13 | 13 | | 14 | 7 | | 15 | 8 | | 16 | 7 | | 17 | 5 | | 18 | 3 | | 19 | 8 | | 20 | 10 | | 21 | 4 | | 22 | 14 | | 23 | 4 | | 24 | 2 | | 25 | 8 | | 26 | 3 | | 27 | 12 | | 28 | 11 | | 29 | 3 | | 30 | 10 | | 31 | 10 | | 32 | 6 | | 33 | 9 | | 34 | 9 | | 35 | 4 | | 36 | 13 | | 37 | 13 | | 38 | 7 | | 39 | 3 | | 40 | 11 | | 41 | 4 | | 42 | 10 | | 43 | 2 | | 44 | 4 | | 45 | 10 | | 46 | 3 | | 47 | 16 | | 48 | 18 | | 49 | 3 |
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| 83.73% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.512 | | totalSentences | 375 | | uniqueOpeners | 192 | |
| 92.92% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 8 | | totalSentences | 287 | | matches | | 0 | "Once delayed, as though the" | | 1 | "Only dust and the faint" | | 2 | "Instead, droplets climbed the outer" | | 3 | "Especially the sweet ones." | | 4 | "Then the light died." | | 5 | "Somewhere beyond the tree line," | | 6 | "Just the desk and the" | | 7 | "Then follow the pull." |
| | ratio | 0.028 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 41 | | totalSentences | 287 | | matches | | 0 | "She tapped it once with" | | 1 | "It responded instantly, vibrating against" | | 2 | "She brushed her palm over" | | 3 | "She pulled her hand back." | | 4 | "They navigated along a path" | | 5 | "She raised a hand, fingers" | | 6 | "It hovered inches above Aurora" | | 7 | "They burn brightest before they" | | 8 | "She crouched beside a cluster" | | 9 | "She lifted it." | | 10 | "She turned it over." | | 11 | "She reached the center of" | | 12 | "It passed through her gloves" | | 13 | "We walk inside a memory." | | 14 | "She unclipped the chain and" | | 15 | "It wanted us to see" | | 16 | "Their silhouette widened, edges blurring" | | 17 | "They offer hands first." | | 18 | "She scanned the treeline." | | 19 | "She slapped it away." |
| | ratio | 0.143 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 205 | | totalSentences | 287 | | matches | | 0 | "The air cracked like thin" | | 1 | "Frost spiderwebbed across the threshold" | | 2 | "Aurora stepped through the shimmering" | | 3 | "Isolde drifted last, bare feet" | | 4 | "The breeze carried scent of" | | 5 | "Aurora adjusted the strap of" | | 6 | "The Heartstone pendant pressed against" | | 7 | "She tapped it once with" | | 8 | "It responded instantly, vibrating against" | | 9 | "The ground sloped downward into" | | 10 | "Vines thick as tree trunks" | | 11 | "The carvings shifted when Aurora" | | 12 | "She brushed her palm over" | | 13 | "A low hum traveled up" | | 14 | "She pulled her hand back." | | 15 | "The stone remembers every weight" | | 16 | "Nyx moved ahead, their voice" | | 17 | "Aurora followed their lead." | | 18 | "They navigated along a path" | | 19 | "Each step echoed twice." |
| | ratio | 0.714 | |
| 34.84% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 287 | | matches | | 0 | "If this place feeds on" | | 1 | "Before the table sets itself." |
| | ratio | 0.007 | |
| 96.02% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 61 | | technicalSentenceCount | 4 | | matches | | 0 | "Aurora stepped through the shimmering distortion, boots sinking into soil that felt less like earth and more like packed glass." | | 1 | "Three suns hung low in the sky, casting overlapping shadows that refused to align." | | 2 | "Nyx moved ahead, their voice arriving wrapped in rustling leaves." | | 3 | "They navigated along a path paved with smooth, iridescent shells that chimed softly underfoot." |
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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 | |