| 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 | 1104 | | 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) | |
| 23.01% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1104 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "shimmered" | | 1 | "pulsed" | | 2 | "flickered" | | 3 | "perfect" | | 4 | "whisper" | | 5 | "warmth" | | 6 | "crystal" | | 7 | "stomach" | | 8 | "trembled" | | 9 | "throbbed" | | 10 | "raced" | | 11 | "silence" | | 12 | "flicked" |
| |
| 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 | 126 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 126 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 146 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1104 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 81.87% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 954 | | uniqueNames | 10 | | maxNameDensity | 1.36 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Heartstone | 5 | | Nyx | 10 | | December | 1 | | Rory | 13 | | Isolde | 10 | | Fae-forged | 1 | | Dymasian | 1 | | Hel | 1 |
| | persons | | 0 | "Heartstone" | | 1 | "Nyx" | | 2 | "Rory" | | 3 | "Isolde" |
| | places | | | globalScore | 0.819 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | 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 | 1104 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 146 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 67 | | mean | 16.48 | | std | 13.94 | | cv | 0.846 | | sampleLengths | | 0 | 9 | | 1 | 50 | | 2 | 11 | | 3 | 35 | | 4 | 17 | | 5 | 4 | | 6 | 9 | | 7 | 8 | | 8 | 4 | | 9 | 35 | | 10 | 62 | | 11 | 26 | | 12 | 7 | | 13 | 3 | | 14 | 20 | | 15 | 16 | | 16 | 18 | | 17 | 2 | | 18 | 13 | | 19 | 6 | | 20 | 28 | | 21 | 4 | | 22 | 10 | | 23 | 13 | | 24 | 56 | | 25 | 48 | | 26 | 3 | | 27 | 33 | | 28 | 7 | | 29 | 4 | | 30 | 18 | | 31 | 32 | | 32 | 22 | | 33 | 28 | | 34 | 10 | | 35 | 3 | | 36 | 11 | | 37 | 18 | | 38 | 8 | | 39 | 23 | | 40 | 9 | | 41 | 6 | | 42 | 1 | | 43 | 26 | | 44 | 2 | | 45 | 40 | | 46 | 21 | | 47 | 14 | | 48 | 1 | | 49 | 15 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 126 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 167 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 146 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 394 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 10 | | adverbRatio | 0.025380710659898477 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 146 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 146 | | mean | 7.56 | | std | 5.79 | | cv | 0.766 | | sampleLengths | | 0 | 9 | | 1 | 23 | | 2 | 13 | | 3 | 9 | | 4 | 5 | | 5 | 4 | | 6 | 7 | | 7 | 5 | | 8 | 7 | | 9 | 13 | | 10 | 10 | | 11 | 10 | | 12 | 7 | | 13 | 4 | | 14 | 9 | | 15 | 8 | | 16 | 4 | | 17 | 4 | | 18 | 3 | | 19 | 9 | | 20 | 2 | | 21 | 3 | | 22 | 14 | | 23 | 10 | | 24 | 20 | | 25 | 16 | | 26 | 1 | | 27 | 1 | | 28 | 10 | | 29 | 4 | | 30 | 6 | | 31 | 10 | | 32 | 2 | | 33 | 6 | | 34 | 2 | | 35 | 7 | | 36 | 3 | | 37 | 2 | | 38 | 6 | | 39 | 12 | | 40 | 16 | | 41 | 3 | | 42 | 6 | | 43 | 9 | | 44 | 2 | | 45 | 6 | | 46 | 7 | | 47 | 6 | | 48 | 4 | | 49 | 4 |
| |
| 57.53% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3904109589041096 | | totalSentences | 146 | | uniqueOpeners | 57 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 108 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 108 | | matches | | 0 | "She left no mark on" | | 1 | "It was larger than it" | | 2 | "They moved without wind." | | 3 | "Her silver hair did not" | | 4 | "Her feet hovered a fraction" | | 5 | "She gestured toward the center" | | 6 | "Its trunk was white as" | | 7 | "Her stomach twisted with hunger" | | 8 | "She tilted her head, listening" | | 9 | "Her ears popped." | | 10 | "She moved before fear could" | | 11 | "She jammed the Fae-forged blade" | | 12 | "Her skin was snow and" | | 13 | "Her palm stung where she" | | 14 | "Their whisper brushed her ear." | | 15 | "She looked down at the" | | 16 | "It tasted of honey and" |
| | ratio | 0.157 | |
| 29.44% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 93 | | totalSentences | 108 | | matches | | 0 | "The standing stones broke the" | | 1 | "Oak trunks rose around them," | | 2 | "Lichen covered the stone uprights" | | 3 | "The air between them shimmered." | | 4 | "Isolde stepped through first." | | 5 | "She left no mark on" | | 6 | "Aurora hesitated at the threshold." | | 7 | "The Heartstone against her collarbone" | | 8 | "Heat pulsed through the silver" | | 9 | "The crimson stone caught no" | | 10 | "Nyx pooled beside her, a" | | 11 | "Violet flickered where eyes should" | | 12 | "Isolde's voice came from beyond" | | 13 | "Rory swallowed and followed." | | 14 | "A clean, starlit cold that" | | 15 | "The park vanished." | | 16 | "The shimmer sealed shut behind" | | 17 | "It was larger than it" | | 18 | "The clearing stretched in a" | | 19 | "Wildflowers covered every inch of" |
| | ratio | 0.861 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 108 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 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 | |