| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 2 | | adverbTags | | 0 | "His accent wrapped around [around]" | | 1 | "He laughed again [again]" |
| | dialogueSentences | 64 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.083 | | effectiveRatio | 0.063 | |
| 95.82% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1195 | | 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) | |
| 45.61% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1195 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "stomach" | | 1 | "intensity" | | 2 | "familiar" | | 3 | "navigate" | | 4 | "charged" | | 5 | "tracing" | | 6 | "silence" | | 7 | "could feel" | | 8 | "pulse" | | 9 | "jaw clenched" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
| | 1 | | label | "jaw/fists clenched" | | count | 1 |
|
| | highlights | | 0 | "stomach dropped" | | 1 | "jaw clenched" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 56 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 56 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 97 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1184 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 20.26% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 501 | | uniqueNames | 7 | | maxNameDensity | 2.59 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 13 | | Charcoal | 1 | | Mrs | 1 | | Eva | 2 | | Heat | 1 | | Lucien | 7 | | Ice | 1 |
| | persons | | 0 | "Rory" | | 1 | "Mrs" | | 2 | "Eva" | | 3 | "Heat" | | 4 | "Lucien" | | 5 | "Ice" |
| | places | | | globalScore | 0.203 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 38 | | 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 | 1184 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 97 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 22.34 | | std | 19.32 | | cv | 0.865 | | sampleLengths | | 0 | 8 | | 1 | 77 | | 2 | 26 | | 3 | 10 | | 4 | 2 | | 5 | 5 | | 6 | 28 | | 7 | 16 | | 8 | 49 | | 9 | 12 | | 10 | 49 | | 11 | 5 | | 12 | 21 | | 13 | 8 | | 14 | 31 | | 15 | 2 | | 16 | 40 | | 17 | 33 | | 18 | 6 | | 19 | 6 | | 20 | 9 | | 21 | 22 | | 22 | 4 | | 23 | 32 | | 24 | 38 | | 25 | 25 | | 26 | 12 | | 27 | 33 | | 28 | 2 | | 29 | 5 | | 30 | 35 | | 31 | 9 | | 32 | 65 | | 33 | 12 | | 34 | 9 | | 35 | 36 | | 36 | 49 | | 37 | 25 | | 38 | 3 | | 39 | 8 | | 40 | 42 | | 41 | 19 | | 42 | 9 | | 43 | 53 | | 44 | 3 | | 45 | 27 | | 46 | 3 | | 47 | 50 | | 48 | 5 | | 49 | 10 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 56 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 89 | | matches | (empty) | |
| 83.95% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 97 | | ratio | 0.021 | | matches | | 0 | "His mismatched eyes—one amber, one black—fixed on her face with an intensity that made her throat tight." | | 1 | "Books cascaded across every surface—Eva's organised chaos that Rory had learned to navigate over the past three months of crashing here." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 491 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 11 | | adverbRatio | 0.02240325865580448 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.006109979633401222 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 97 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 97 | | mean | 12.21 | | std | 9.89 | | cv | 0.81 | | sampleLengths | | 0 | 8 | | 1 | 17 | | 2 | 17 | | 3 | 2 | | 4 | 20 | | 5 | 21 | | 6 | 19 | | 7 | 7 | | 8 | 7 | | 9 | 3 | | 10 | 2 | | 11 | 5 | | 12 | 13 | | 13 | 15 | | 14 | 1 | | 15 | 7 | | 16 | 8 | | 17 | 14 | | 18 | 21 | | 19 | 14 | | 20 | 4 | | 21 | 3 | | 22 | 5 | | 23 | 35 | | 24 | 14 | | 25 | 5 | | 26 | 9 | | 27 | 12 | | 28 | 5 | | 29 | 3 | | 30 | 11 | | 31 | 20 | | 32 | 2 | | 33 | 3 | | 34 | 22 | | 35 | 15 | | 36 | 12 | | 37 | 21 | | 38 | 6 | | 39 | 6 | | 40 | 4 | | 41 | 5 | | 42 | 8 | | 43 | 14 | | 44 | 4 | | 45 | 18 | | 46 | 14 | | 47 | 7 | | 48 | 31 | | 49 | 14 |
| |
| 60.48% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.44329896907216493 | | totalSentences | 97 | | uniqueOpeners | 43 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 52 | | matches | (empty) | | ratio | 0 | |
| 66.15% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 52 | | matches | | 0 | "His mismatched eyes—one amber, one" | | 1 | "His accent wrapped around the" | | 2 | "He moved past her into" | | 3 | "He turned that strange two-toned" | | 4 | "His jaw tightened." | | 5 | "He laughed, sharp and bitter" | | 6 | "He closed the distance between" | | 7 | "She met his eyes, refusing" | | 8 | "His hand came up, palm" | | 9 | "She pushed off the door," | | 10 | "He laughed again, uglier this" | | 11 | "She stepped closer, anger rising" | | 12 | "His amber eye caught the" | | 13 | "He reached for her, fingers" | | 14 | "His throat worked." | | 15 | "She could feel his pulse" | | 16 | "He stopped himself, jaw clenched." | | 17 | "Her thumb pressed against his" | | 18 | "His free hand came up," | | 19 | "His forehead dropped to hers" |
| | ratio | 0.385 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 52 | | matches | | 0 | "The door swung open and" | | 1 | "Lucien stood in the hallway," | | 2 | "His mismatched eyes—one amber, one" | | 3 | "Charcoal suit pressed to perfection," | | 4 | "His accent wrapped around the" | | 5 | "Rory blocked the doorway with" | | 6 | "Lucien tilted his head, platinum" | | 7 | "Kowalski's door clicked open down" | | 8 | "Rory bit back a curse" | | 9 | "He moved past her into" | | 10 | "Books cascaded across every surface—Eva's" | | 11 | "Ptolemy, Eva's tabby, raised his" | | 12 | "Rory closed the door." | | 13 | "Lucien surveyed the flat, gaze" | | 14 | "He turned that strange two-toned" | | 15 | "Heat flashed through her chest." | | 16 | "Lucien set his cane against" | | 17 | "His jaw tightened." | | 18 | "Rory's fingers found the small" | | 19 | "Lucien's voice dropped lower, accent" |
| | ratio | 0.942 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 52 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 10 | | technicalSentenceCount | 2 | | matches | | 0 | "His mismatched eyes—one amber, one black—fixed on her face with an intensity that made her throat tight." | | 1 | "She could feel his pulse beneath her touch, quick and human despite everything else about him that wasn't." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 1 | | matches | | 0 | "He reached, fingers ghosting along her jaw" |
| |
| 87.50% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 4 | | fancyTags | | 0 | "He laughed (laugh)" | | 1 | "Rory pressed (press)" | | 2 | "He laughed again (laugh)" | | 3 | "Her thumb pressed (press)" |
| | dialogueSentences | 64 | | tagDensity | 0.063 | | leniency | 0.125 | | rawRatio | 1 | | effectiveRatio | 0.125 | |