| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 70 | | tagDensity | 0.1 | | leniency | 0.2 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.32% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1357 | | 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) | |
| 92.63% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1357 | | totalAiIsms | 2 | | found | | | highlights | | |
| 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 | 97 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 97 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 160 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1357 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 20 | | unquotedAttributions | 0 | | matches | (empty) | |
| 22.79% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 58 | | wordCount | 904 | | uniqueNames | 7 | | maxNameDensity | 2.54 | | worstName | "Lucien" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 23 | | Moreau | 1 | | Eva | 5 | | Ptolemy | 4 | | Rory | 22 | | London | 1 | | Evan | 2 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Eva" | | 3 | "Ptolemy" | | 4 | "Rory" | | 5 | "Evan" |
| | places | | | globalScore | 0.228 | | windowScore | 0.5 | |
| 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 | 1357 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 160 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 98 | | mean | 13.85 | | std | 13.1 | | cv | 0.946 | | sampleLengths | | 0 | 31 | | 1 | 7 | | 2 | 5 | | 3 | 3 | | 4 | 3 | | 5 | 2 | | 6 | 54 | | 7 | 4 | | 8 | 7 | | 9 | 3 | | 10 | 3 | | 11 | 15 | | 12 | 5 | | 13 | 36 | | 14 | 41 | | 15 | 7 | | 16 | 13 | | 17 | 19 | | 18 | 7 | | 19 | 6 | | 20 | 22 | | 21 | 25 | | 22 | 5 | | 23 | 9 | | 24 | 2 | | 25 | 8 | | 26 | 18 | | 27 | 7 | | 28 | 5 | | 29 | 4 | | 30 | 15 | | 31 | 35 | | 32 | 3 | | 33 | 6 | | 34 | 7 | | 35 | 65 | | 36 | 12 | | 37 | 4 | | 38 | 22 | | 39 | 2 | | 40 | 1 | | 41 | 7 | | 42 | 38 | | 43 | 20 | | 44 | 33 | | 45 | 10 | | 46 | 38 | | 47 | 2 | | 48 | 2 | | 49 | 5 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 97 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 151 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 160 | | ratio | 0.006 | | matches | | 0 | "His amber eye caught the kitchen light; the black one gave nothing back." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 905 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.017679558011049725 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 160 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 160 | | mean | 8.48 | | std | 5.55 | | cv | 0.654 | | sampleLengths | | 0 | 18 | | 1 | 13 | | 2 | 7 | | 3 | 5 | | 4 | 3 | | 5 | 3 | | 6 | 2 | | 7 | 7 | | 8 | 5 | | 9 | 16 | | 10 | 9 | | 11 | 11 | | 12 | 6 | | 13 | 4 | | 14 | 7 | | 15 | 3 | | 16 | 3 | | 17 | 8 | | 18 | 7 | | 19 | 3 | | 20 | 2 | | 21 | 16 | | 22 | 11 | | 23 | 9 | | 24 | 11 | | 25 | 17 | | 26 | 13 | | 27 | 7 | | 28 | 13 | | 29 | 5 | | 30 | 14 | | 31 | 7 | | 32 | 6 | | 33 | 7 | | 34 | 7 | | 35 | 8 | | 36 | 5 | | 37 | 9 | | 38 | 8 | | 39 | 3 | | 40 | 5 | | 41 | 9 | | 42 | 2 | | 43 | 8 | | 44 | 5 | | 45 | 13 | | 46 | 7 | | 47 | 5 | | 48 | 4 | | 49 | 6 |
| |
| 49.58% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.33125 | | totalSentences | 160 | | uniqueOpeners | 53 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 94 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 94 | | matches | | 0 | "It had lain flat when" | | 1 | "He went towards the kitchen," | | 2 | "She had meant to charge" | | 3 | "His left hand hovered over" | | 4 | "He pulled back." | | 5 | "His amber eye caught the" | | 6 | "His fingers closed over the" | | 7 | "She took her wrist back." | | 8 | "He had held it outside" | | 9 | "She set the cup on" | | 10 | "He moved a pile of" | | 11 | "She planted her palm over" | | 12 | "She gritted her teeth." | | 13 | "His palm split along the" | | 14 | "He took a folded handkerchief" | | 15 | "His hand stopped." | | 16 | "His jaw tightened, but he" | | 17 | "She remembered him at this" | | 18 | "She had said she didn’t" | | 19 | "He had told her he" |
| | ratio | 0.298 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 88 | | totalSentences | 94 | | matches | | 0 | "Aurora opened the third deadbolt" | | 1 | "Water ran from the tip" | | 2 | "Rory glanced over her shoulder." | | 3 | "The tabby stood on the" | | 4 | "A strip of copper wire" | | 5 | "It had lain flat when" | | 6 | "Lucien followed her gaze." | | 7 | "The copper wire snapped against" | | 8 | "Ptolemy fled under a stack" | | 9 | "Rory stepped aside." | | 10 | "Lucien crossed the threshold without" | | 11 | "He went towards the kitchen," | | 12 | "Rory shut the door and" | | 13 | "Eva’s flat left little room" | | 14 | "Books covered the table, scrolls" | | 15 | "Lucien set his cane against" | | 16 | "Rory looked at the desk." | | 17 | "Rory took her phone from" | | 18 | "The screen stayed black beneath" | | 19 | "She had meant to charge" |
| | ratio | 0.936 | |
| 53.19% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 94 | | matches | | | ratio | 0.011 | |
| 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 | 7 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 70 | | tagDensity | 0.043 | | leniency | 0.086 | | rawRatio | 0 | | effectiveRatio | 0 | |