| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 2 | | adverbTags | | 0 | "Rory said flatly [flatly]" | | 1 | "she said finally [finally]" |
| | dialogueSentences | 18 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.333 | | effectiveRatio | 0.222 | |
| 85.96% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 712 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 712 | | totalAiIsms | 18 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | word | "down her spine" | | count | 1 |
| | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | |
| | highlights | | 0 | "warmth" | | 1 | "eyebrow" | | 2 | "silk" | | 3 | "unspoken" | | 4 | "echoed" | | 5 | "down her spine" | | 6 | "racing" | | 7 | "fleeting" | | 8 | "testament" | | 9 | "silence" | | 10 | "palpable" | | 11 | "calibrated" | | 12 | "glint" | | 13 | "tension" | | 14 | "tantalizing" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "air was thick with" | | count | 1 |
| | 1 | | label | "without second thought" | | count | 1 |
|
| | highlights | | 0 | "The air was thick with" | | 1 | "without a second thought" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 34 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 34 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 46 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 711 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 57.58% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 541 | | uniqueNames | 4 | | maxNameDensity | 1.85 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | | persons | | 0 | "Eva" | | 1 | "Lucien" | | 2 | "Moreau" | | 3 | "Rory" |
| | places | (empty) | | globalScore | 0.576 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 32 | | 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 | 711 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 46 | | matches | (empty) | |
| 56.64% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 19 | | mean | 37.42 | | std | 13.03 | | cv | 0.348 | | sampleLengths | | 0 | 57 | | 1 | 33 | | 2 | 45 | | 3 | 45 | | 4 | 37 | | 5 | 17 | | 6 | 52 | | 7 | 22 | | 8 | 39 | | 9 | 36 | | 10 | 31 | | 11 | 21 | | 12 | 48 | | 13 | 57 | | 14 | 24 | | 15 | 37 | | 16 | 15 | | 17 | 39 | | 18 | 56 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 34 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 85 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 542 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 13 | | adverbRatio | 0.023985239852398525 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.012915129151291513 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 46 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 46 | | mean | 15.46 | | std | 7.31 | | cv | 0.473 | | sampleLengths | | 0 | 17 | | 1 | 20 | | 2 | 20 | | 3 | 11 | | 4 | 22 | | 5 | 10 | | 6 | 20 | | 7 | 15 | | 8 | 28 | | 9 | 17 | | 10 | 26 | | 11 | 11 | | 12 | 7 | | 13 | 10 | | 14 | 12 | | 15 | 40 | | 16 | 11 | | 17 | 11 | | 18 | 13 | | 19 | 15 | | 20 | 11 | | 21 | 8 | | 22 | 24 | | 23 | 4 | | 24 | 12 | | 25 | 19 | | 26 | 15 | | 27 | 6 | | 28 | 26 | | 29 | 12 | | 30 | 10 | | 31 | 15 | | 32 | 28 | | 33 | 14 | | 34 | 14 | | 35 | 10 | | 36 | 16 | | 37 | 21 | | 38 | 9 | | 39 | 6 | | 40 | 14 | | 41 | 25 | | 42 | 15 | | 43 | 22 | | 44 | 1 | | 45 | 18 |
| |
| 68.84% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.41304347826086957 | | totalSentences | 46 | | uniqueOpeners | 19 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 33 | | matches | (empty) | | ratio | 0 | |
| 98.79% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 10 | | totalSentences | 33 | | matches | | 0 | "She'd been expecting her friend" | | 1 | "His tailored charcoal suit seemed" | | 2 | "he replied, his voice low" | | 3 | "His gaze swept the room," | | 4 | "His chuckle was low and" | | 5 | "His eyes sparkled with a" | | 6 | "He sauntered deeper into the" | | 7 | "She knew better than to" | | 8 | "she said finally, her voice" | | 9 | "His chuckle was low and" |
| | ratio | 0.303 | |
| 5.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 30 | | totalSentences | 33 | | matches | | 0 | "The door creaked open, and" | | 1 | "Rory, huddled in the armchair" | | 2 | "She'd been expecting her friend" | | 3 | "Rory said flatly, her eyes" | | 4 | "His tailored charcoal suit seemed" | | 5 | "he replied, his voice low" | | 6 | "His gaze swept the room," | | 7 | "Rory's fingers tightened around the" | | 8 | "Lucien's lips curled into a" | | 9 | "Rory echoed, her tone dry" | | 10 | "His chuckle was low and" | | 11 | "His eyes sparkled with a" | | 12 | "Rory's expression remained impassive, but" | | 13 | "He sauntered deeper into the" | | 14 | "Ptolemy, Eva's tabby cat, watched" | | 15 | "Rory's gaze narrowed, her mind" | | 16 | "She knew better than to" | | 17 | "Lucien halted in front of" | | 18 | "Rory raised an eyebrow, her" | | 19 | "A fleeting glance at the" |
| | ratio | 0.909 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 33 | | matches | (empty) | | ratio | 0 | |
| 85.71% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 2 | | matches | | 0 | "Rory's fingers tightened around the worn spine of the book in her lap, a sudden urge to slam it shut and distance herself from the memories that lingered." | | 1 | "The silence that followed was a palpable thing, heavy with unspoken words and unresolved tensions." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 5 | | matches | | 0 | "Rory said flatly, her eyes narrowing as he stepped inside" | | 1 | "he replied, his voice low and smooth as silk" | | 2 | "Rory echoed, her tone dry" | | 3 | "His eyes sparkled, but his tone remained light, a verbal veil for the deeper emotions that simmered beneath" | | 4 | "she said finally, her voice a carefully calibrated compromise between wariness and curiosity" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 18 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0 | | effectiveRatio | 0 | |