| 57.14% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 1 | | adverbTags | | 0 | "Her fingers tightened around [around]" |
| | dialogueSentences | 14 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0.167 | | effectiveRatio | 0.143 | |
| 78.31% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 461 | | totalAiIsmAdverbs | 2 | | 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) | |
| 24.08% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 461 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "stomach" | | 1 | "churned" | | 2 | "furrowing" | | 3 | "sinister" | | 4 | "warmth" | | 5 | "pulsed" | | 6 | "maw" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "stomach churned" | | 1 | "hung in the air" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 38 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 38 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 45 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 463 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 385 | | uniqueNames | 11 | | maxNameDensity | 3.12 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 12 | | Nyx | 3 | | Isolde | 4 | | Fae | 1 | | Grove | 1 | | Wardens | 1 | | Veil | 1 | | Unease | 1 | | Regaining | 1 | | Kennedy | 1 | | Heartstone | 1 |
| | persons | | 0 | "Rory" | | 1 | "Nyx" | | 2 | "Isolde" | | 3 | "Unease" | | 4 | "Kennedy" |
| | places | | | globalScore | 0 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 25 | | 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 | 463 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 45 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 21.05 | | std | 12.53 | | cv | 0.595 | | sampleLengths | | 0 | 44 | | 1 | 28 | | 2 | 49 | | 3 | 21 | | 4 | 22 | | 5 | 27 | | 6 | 9 | | 7 | 21 | | 8 | 14 | | 9 | 28 | | 10 | 16 | | 11 | 18 | | 12 | 11 | | 13 | 6 | | 14 | 3 | | 15 | 34 | | 16 | 25 | | 17 | 42 | | 18 | 8 | | 19 | 15 | | 20 | 18 | | 21 | 4 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 38 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 74 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 391 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 5 | | adverbRatio | 0.01278772378516624 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.010230179028132993 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 45 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 45 | | mean | 10.29 | | std | 6.67 | | cv | 0.648 | | sampleLengths | | 0 | 23 | | 1 | 13 | | 2 | 8 | | 3 | 23 | | 4 | 5 | | 5 | 5 | | 6 | 24 | | 7 | 5 | | 8 | 8 | | 9 | 7 | | 10 | 5 | | 11 | 16 | | 12 | 12 | | 13 | 10 | | 14 | 5 | | 15 | 22 | | 16 | 2 | | 17 | 7 | | 18 | 21 | | 19 | 14 | | 20 | 18 | | 21 | 10 | | 22 | 4 | | 23 | 8 | | 24 | 4 | | 25 | 15 | | 26 | 3 | | 27 | 11 | | 28 | 6 | | 29 | 3 | | 30 | 15 | | 31 | 19 | | 32 | 7 | | 33 | 18 | | 34 | 14 | | 35 | 5 | | 36 | 2 | | 37 | 21 | | 38 | 4 | | 39 | 4 | | 40 | 14 | | 41 | 1 | | 42 | 13 | | 43 | 5 | | 44 | 4 |
| |
| 97.78% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.6444444444444445 | | totalSentences | 45 | | uniqueOpeners | 29 | |
| 92.59% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 36 | | matches | | 0 | "Suddenly, the shimmer burst with" |
| | ratio | 0.028 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 7 | | totalSentences | 36 | | matches | | 0 | "Her fingers tightened around the" | | 1 | "She gasped, head snapping up," | | 2 | "She reached a hesitant hand" | | 3 | "She stumbled, gasping." | | 4 | "Her friend asked" | | 5 | "It turned to Rory." | | 6 | "She unsheathed the fae blade," |
| | ratio | 0.194 | |
| 43.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 30 | | totalSentences | 36 | | matches | | 0 | "The steel-toed boots crunched on" | | 1 | "Rory's heart pounded, her stomach" | | 2 | "The headquarters of the Wardens" | | 3 | "Isolde's pale hand gestured, silver" | | 4 | "Unease crept up Rory's spine." | | 5 | "An ancient oak turned skeletal" | | 6 | "Flowers petals wrinkled and dried." | | 7 | "Moss clung to the trees" | | 8 | "The air hung heavy, stagnant" | | 9 | "Rory swallowed hard, throat dry." | | 10 | "Her fingers tightened around the" | | 11 | "Nyx with eyes that glowed" | | 12 | "Isolde frowned, silver brows furrowing." | | 13 | "She gasped, head snapping up," | | 14 | "Isolde's voice drifted off before" | | 15 | "Rory's voice, razor-edged and flat," | | 16 | "The trees groaned as a" | | 17 | "A faint, shimmering distortion hung" | | 18 | "She reached a hesitant hand" | | 19 | "She stumbled, gasping." |
| | ratio | 0.833 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 36 | | matches | (empty) | | ratio | 0 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 14 | | technicalSentenceCount | 1 | | matches | | 0 | "Hollow eye sockets, a lipless maw filled with thorny teeth, and an aura that meant nothing so much as intelligent evil." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 7.14% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "She gasped (gasp)" | | 1 | "Rory declared (declare)" |
| | dialogueSentences | 14 | | tagDensity | 0.214 | | leniency | 0.429 | | rawRatio | 0.667 | | effectiveRatio | 0.286 | |