| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 26 | | adverbTagCount | 2 | | adverbTags | | 0 | "Rory stated firmly [firmly]" | | 1 | "He turned back [back]" |
| | dialogueSentences | 49 | | tagDensity | 0.531 | | leniency | 1 | | rawRatio | 0.077 | | effectiveRatio | 0.077 | |
| 56.78% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1157 | | totalAiIsmAdverbs | 10 | | found | | 0 | | | 1 | | | 2 | | | 3 | | adverb | "deliberately" | | count | 1 |
| | 4 | | | 5 | | | 6 | |
| | highlights | | 0 | "slowly" | | 1 | "slightly" | | 2 | "carefully" | | 3 | "deliberately" | | 4 | "really" | | 5 | "gently" | | 6 | "suddenly" |
| |
| 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 | 1157 | | totalAiIsms | 31 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | word | "carried the weight" | | count | 1 |
| | 23 | | | 24 | | | 25 | | | 26 | | | 27 | | | 28 | |
| | highlights | | 0 | "velvet" | | 1 | "gloom" | | 2 | "scanning" | | 3 | "familiar" | | 4 | "lilt" | | 5 | "predator" | | 6 | "silence" | | 7 | "reminder" | | 8 | "echo" | | 9 | "glinting" | | 10 | "remarkable" | | 11 | "navigate" | | 12 | "implication" | | 13 | "potential" | | 14 | "unravel" | | 15 | "testament" | | 16 | "methodical" | | 17 | "firmly" | | 18 | "unwavering" | | 19 | "flicker" | | 20 | "unreadable" | | 21 | "throbbed" | | 22 | "carried the weight" | | 23 | "unspoken" | | 24 | "tenderness" | | 25 | "solitary" | | 26 | "depths" | | 27 | "magnetic" | | 28 | "whisper" |
| |
| 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 | 1 | | narrationSentences | 69 | | matches | | |
| 80.75% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 69 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 93 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1155 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 22 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 804 | | uniqueNames | 12 | | maxNameDensity | 1.62 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Eva | 2 | | General | 1 | | Tso | 1 | | Golden | 1 | | Empress | 1 | | Marco | 1 | | Lucien | 9 | | Moreau | 1 | | Parisian | 1 | | Rory | 13 | | Ptolemy | 3 | | Silence | 1 |
| | persons | | 0 | "Eva" | | 1 | "Tso" | | 2 | "Marco" | | 3 | "Lucien" | | 4 | "Moreau" | | 5 | "Rory" | | 6 | "Ptolemy" | | 7 | "Silence" |
| | places | (empty) | | globalScore | 0.692 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 26.84% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.732 | | wordCount | 1155 | | matches | | 0 | "not threateningly, but as a subtle extension of his presence" | | 1 | "not as a threat, but as if drawn by an invisible force" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 93 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 28.88 | | std | 16.74 | | cv | 0.58 | | sampleLengths | | 0 | 80 | | 1 | 22 | | 2 | 18 | | 3 | 61 | | 4 | 15 | | 5 | 44 | | 6 | 36 | | 7 | 21 | | 8 | 46 | | 9 | 43 | | 10 | 17 | | 11 | 33 | | 12 | 19 | | 13 | 29 | | 14 | 18 | | 15 | 52 | | 16 | 15 | | 17 | 55 | | 18 | 31 | | 19 | 17 | | 20 | 45 | | 21 | 22 | | 22 | 3 | | 23 | 19 | | 24 | 6 | | 25 | 14 | | 26 | 27 | | 27 | 41 | | 28 | 21 | | 29 | 16 | | 30 | 48 | | 31 | 48 | | 32 | 9 | | 33 | 23 | | 34 | 21 | | 35 | 21 | | 36 | 33 | | 37 | 45 | | 38 | 9 | | 39 | 12 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 69 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 136 | | matches | (empty) | |
| 19.97% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 93 | | ratio | 0.043 | | matches | | 0 | "She’d been arranging them by order of delivery – Golden Empress, then Marco’s, then…" | | 1 | "His heterochromatic eyes—one amber, one the deep black of obsidian—assessed her apartment with a cool, detached gaze." | | 2 | "She didn’t bother closing the door entirely; the space between them narrowed, shrinking the flat into something smaller, tighter." | | 3 | "His gaze drifted to the bookshelves crammed with volumes on ancient languages, occult practices, and forgotten lore – a testament to Eva’s research and Rory’s quiet, methodical absorption of it all." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 329 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 13 | | adverbRatio | 0.03951367781155015 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.015197568389057751 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 12.42 | | std | 6.07 | | cv | 0.489 | | sampleLengths | | 0 | 17 | | 1 | 15 | | 2 | 27 | | 3 | 14 | | 4 | 5 | | 5 | 2 | | 6 | 10 | | 7 | 9 | | 8 | 3 | | 9 | 9 | | 10 | 9 | | 11 | 15 | | 12 | 17 | | 13 | 17 | | 14 | 12 | | 15 | 15 | | 16 | 16 | | 17 | 9 | | 18 | 19 | | 19 | 17 | | 20 | 13 | | 21 | 6 | | 22 | 16 | | 23 | 5 | | 24 | 15 | | 25 | 12 | | 26 | 13 | | 27 | 6 | | 28 | 15 | | 29 | 28 | | 30 | 17 | | 31 | 14 | | 32 | 9 | | 33 | 10 | | 34 | 16 | | 35 | 3 | | 36 | 15 | | 37 | 14 | | 38 | 12 | | 39 | 6 | | 40 | 3 | | 41 | 25 | | 42 | 24 | | 43 | 6 | | 44 | 9 | | 45 | 13 | | 46 | 21 | | 47 | 21 | | 48 | 31 | | 49 | 6 |
| |
| 60.22% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.3870967741935484 | | totalSentences | 93 | | uniqueOpeners | 36 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 69 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 69 | | matches | | 0 | "She’d been arranging them by" | | 1 | "she paused, scanning the list." | | 2 | "It wasn't the hesitant tap" | | 3 | "It was deliberate." | | 4 | "she called, then opened the" | | 5 | "His heterochromatic eyes—one amber, one" | | 6 | "He held a single, crimson" | | 7 | "he stated, his voice a" | | 8 | "she replied, keeping her tone" | | 9 | "She didn’t bother closing the" | | 10 | "He moved toward the small," | | 11 | "he observed, tilting his head" | | 12 | "she asked, her voice sharper" | | 13 | "he said, his amber eye" | | 14 | "She finally met his gaze," | | 15 | "He didn’t flinch." | | 16 | "He took a slow sip" | | 17 | "He paused, letting the implication" | | 18 | "His gaze drifted to the" | | 19 | "He raised his cane, not" |
| | ratio | 0.551 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 69 | | matches | | 0 | "The rain hammered against the" | | 1 | "Ptolemy, the tabby cat, shifted" | | 2 | "Rory stacked takeaway containers on" | | 3 | "She’d been arranging them by" | | 4 | "she paused, scanning the list." | | 5 | "A knock, sharp and insistent," | | 6 | "It wasn't the hesitant tap" | | 7 | "It was deliberate." | | 8 | "Rory straightened, pulling a dish" | | 9 | "she called, then opened the" | | 10 | "Lucien Moreau stood on the" | | 11 | "The charcoal suit, immaculate even" | | 12 | "His heterochromatic eyes—one amber, one" | | 13 | "He held a single, crimson" | | 14 | "he stated, his voice a" | | 15 | "Rory felt a jolt, a" | | 16 | "she replied, keeping her tone" | | 17 | "She didn’t bother closing the" | | 18 | "Lucien said, stepping inside, carefully" | | 19 | "Ptolemy, sensing an unwelcome guest," |
| | ratio | 1 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 69 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 1 | | matches | | 0 | "She felt a pull, a magnetic attraction that had been dormant for years, suddenly, fiercely insistent." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 26 | | uselessAdditionCount | 10 | | matches | | 0 | "he stated, his voice a low rumble, accented with a Parisian lilt" | | 1 | "she asked, her voice sharper than she intended" | | 2 | "Lucien said, a ghost of a smile curving his lips" | | 3 | "she warned, her voice low" | | 4 | "she said, her eyes flashing" | | 5 | "Rory said, her voice hardening" | | 6 | "he admitted, his voice quiet" | | 7 | "she said, the words clipped and cold" | | 8 | "she asked, her voice barely a whisper" | | 9 | "Lucien said, his voice low and intimate," |
| |
| 7.14% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 20 | | fancyCount | 7 | | fancyTags | | 0 | "he stated (state)" | | 1 | "he observed (observe)" | | 2 | "Rory retorted (retort)" | | 3 | "Rory stated firmly (state)" | | 4 | "Lucien murmured (murmur)" | | 5 | "she warned (warn)" | | 6 | "he admitted (admit)" |
| | dialogueSentences | 49 | | tagDensity | 0.408 | | leniency | 0.816 | | rawRatio | 0.35 | | effectiveRatio | 0.286 | |