| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 16 | | tagDensity | 0.625 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 553 | | 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) | |
| 18.63% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 553 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "scanned" | | 1 | "pulsed" | | 2 | "warmth" | | 3 | "churned" | | 4 | "crystal" | | 5 | "marble" | | 6 | "silk" | | 7 | "throbbed" |
| |
| 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 | 51 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 51 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 57 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 21 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 552 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 62.66% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 458 | | uniqueNames | 10 | | maxNameDensity | 1.75 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Park | 1 | | Heartstone | 1 | | Pendant | 1 | | London | 1 | | Faces | 1 | | Fae-forged | 1 | | Pale | 1 | | Aurora | 8 | | Isolde | 6 | | Nyx | 5 |
| | persons | | 0 | "Faces" | | 1 | "Aurora" | | 2 | "Isolde" | | 3 | "Nyx" |
| | places | | | globalScore | 0.627 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 39 | | 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 | 552 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 57 | | matches | (empty) | |
| 76.17% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 25.09 | | std | 10.45 | | cv | 0.417 | | sampleLengths | | 0 | 18 | | 1 | 24 | | 2 | 21 | | 3 | 19 | | 4 | 14 | | 5 | 31 | | 6 | 27 | | 7 | 41 | | 8 | 13 | | 9 | 16 | | 10 | 22 | | 11 | 33 | | 12 | 28 | | 13 | 29 | | 14 | 18 | | 15 | 13 | | 16 | 61 | | 17 | 20 | | 18 | 21 | | 19 | 25 | | 20 | 29 | | 21 | 29 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 51 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 72 | | matches | (empty) | |
| 92.73% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 57 | | ratio | 0.018 | | matches | | 0 | "Above them, the sky churned with colors unfamiliar to London—deep indigos bleeding into bruised gold." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 462 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 7 | | adverbRatio | 0.015151515151515152 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0021645021645021645 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 57 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 57 | | mean | 9.68 | | std | 4.04 | | cv | 0.417 | | sampleLengths | | 0 | 8 | | 1 | 6 | | 2 | 4 | | 3 | 9 | | 4 | 15 | | 5 | 7 | | 6 | 14 | | 7 | 14 | | 8 | 5 | | 9 | 6 | | 10 | 8 | | 11 | 9 | | 12 | 12 | | 13 | 10 | | 14 | 6 | | 15 | 6 | | 16 | 15 | | 17 | 2 | | 18 | 16 | | 19 | 8 | | 20 | 15 | | 21 | 13 | | 22 | 8 | | 23 | 8 | | 24 | 10 | | 25 | 5 | | 26 | 7 | | 27 | 20 | | 28 | 13 | | 29 | 6 | | 30 | 9 | | 31 | 13 | | 32 | 8 | | 33 | 12 | | 34 | 9 | | 35 | 6 | | 36 | 12 | | 37 | 13 | | 38 | 6 | | 39 | 16 | | 40 | 6 | | 41 | 18 | | 42 | 15 | | 43 | 6 | | 44 | 8 | | 45 | 6 | | 46 | 12 | | 47 | 9 | | 48 | 9 | | 49 | 7 |
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| 94.15% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.5964912280701754 | | totalSentences | 57 | | uniqueOpeners | 34 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 43 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 5 | | totalSentences | 43 | | matches | | 0 | "She drifted deeper into the" | | 1 | "She did not look back." | | 2 | "Her breath plumed in pale" | | 3 | "She hovered inches above the" | | 4 | "She took a breath, adjusted" |
| | ratio | 0.116 | |
| 53.02% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 35 | | totalSentences | 43 | | matches | | 0 | "Aurora parted the weeping willows" | | 1 | "Richmond Park vanished instantly." | | 2 | "A ring of ancient, gnarled" | | 3 | "The half-fae stepped past the" | | 4 | "Nyx materialized beside the stones," | | 5 | "Violet eyes scanned the canopy." | | 6 | "The sound carried like wind" | | 7 | "Aurora checked the silver chain" | | 8 | "The Heartstone Pendant pulsed against" | | 9 | "She drifted deeper into the" | | 10 | "Wildflowers carpeted the forest floor," | | 11 | "Every step felt heavier, as" | | 12 | "The air smelled of crushed" | | 13 | "Aurora pointed toward the nearest" | | 14 | "Faces shifted beneath the surface" | | 15 | "Eyes opened, blinked, and melted" | | 16 | "She did not look back." | | 17 | "Nyx dissolved into a wisp" | | 18 | "The shade reformed beside a" | | 19 | "The voice rasped like dry" |
| | ratio | 0.814 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 43 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 18 | | technicalSentenceCount | 1 | | matches | | 0 | "Sprawling vineyards climbed jagged obsidian cliffs, bearing crystal grapes that dripped nectar onto the rocks below." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 4 | | fancyTags | | 0 | "Isolde murmured (murmur)" | | 1 | "Nyx whispered (whisper)" | | 2 | "Isolde warned (warn)" | | 3 | "Isolde murmured (murmur)" |
| | dialogueSentences | 16 | | tagDensity | 0.438 | | leniency | 0.875 | | rawRatio | 0.571 | | effectiveRatio | 0.5 | |