| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | 0 | "His accent wrapped around [around]" |
| | dialogueSentences | 90 | | tagDensity | 0.1 | | leniency | 0.2 | | rawRatio | 0.111 | | effectiveRatio | 0.022 | |
| 83.71% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1842 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slightly" | | 1 | "suddenly" | | 2 | "very" | | 3 | "perfectly" |
| |
| 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) | |
| 59.28% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1842 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "charm" | | 1 | "footsteps" | | 2 | "efficient" | | 3 | "intensity" | | 4 | "flicked" | | 5 | "weight" | | 6 | "flickered" | | 7 | "measured" | | 8 | "warmth" | | 9 | "whisper" | | 10 | "tension" | | 11 | "absolutely" | | 12 | "pulse" | | 13 | "pounding" |
| |
| 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 | 114 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 114 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 193 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1858 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 27 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 48 | | wordCount | 1066 | | uniqueNames | 14 | | maxNameDensity | 1.31 | | worstName | "Lucien" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Moreau | 2 | | November | 1 | | Ptolemy | 5 | | Lucien | 14 | | Bloomsbury | 2 | | Eva | 3 | | Brick | 1 | | Lane | 1 | | Bengali | 1 | | London | 1 | | Rory | 14 | | Started | 1 | | Close | 1 | | Held | 1 |
| | persons | | 0 | "Moreau" | | 1 | "Ptolemy" | | 2 | "Lucien" | | 3 | "Eva" | | 4 | "Rory" |
| | places | | 0 | "Bloomsbury" | | 1 | "Brick" | | 2 | "Lane" | | 3 | "Bengali" | | 4 | "London" |
| | globalScore | 0.843 | | windowScore | 0.833 | |
| 22.88% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 3 | | matches | | 0 | "Not quite a smile, but close" | | 1 | "quite name" | | 2 | "felt like to be the focus of that gaze" |
| |
| 38.54% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 1.615 | | wordCount | 1858 | | matches | | 0 | "Not quite a smile, but close" | | 1 | "Not fast, not slow, but deliberate" | | 2 | "not slow, but deliberate" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 193 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 106 | | mean | 17.53 | | std | 18.56 | | cv | 1.059 | | sampleLengths | | 0 | 8 | | 1 | 32 | | 2 | 66 | | 3 | 3 | | 4 | 1 | | 5 | 13 | | 6 | 27 | | 7 | 14 | | 8 | 2 | | 9 | 59 | | 10 | 5 | | 11 | 4 | | 12 | 1 | | 13 | 44 | | 14 | 35 | | 15 | 10 | | 16 | 66 | | 17 | 3 | | 18 | 13 | | 19 | 9 | | 20 | 33 | | 21 | 7 | | 22 | 7 | | 23 | 39 | | 24 | 26 | | 25 | 7 | | 26 | 3 | | 27 | 36 | | 28 | 29 | | 29 | 24 | | 30 | 1 | | 31 | 27 | | 32 | 6 | | 33 | 10 | | 34 | 39 | | 35 | 9 | | 36 | 2 | | 37 | 76 | | 38 | 4 | | 39 | 2 | | 40 | 3 | | 41 | 3 | | 42 | 13 | | 43 | 69 | | 44 | 23 | | 45 | 5 | | 46 | 1 | | 47 | 10 | | 48 | 50 | | 49 | 16 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 114 | | matches | (empty) | |
| 44.96% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 172 | | matches | | 0 | "was expecting " | | 1 | "was watching" | | 2 | "was pounding" | | 3 | "were shaking" |
| |
| 24.43% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 193 | | ratio | 0.041 | | matches | | 0 | "Rory pulled open the door, her hand still on the chain, and the words she'd been about to say — something about the takeaway she was expecting — died in her throat." | | 1 | "His gaze swept the flat in one efficient pass — the books stacked on every available surface, the scrolls spread across the kitchen table, Eva's handwriting covering half of them in cramped red ink." | | 2 | "The sounds of Brick Lane filtered up through the floor — traffic, someone shouting in Bengali, the distant thump of bass from a club three doors down." | | 3 | "Lucien Moreau, who could negotiate with demons and come out smiling, who could extract information from the most tight-lipped informants in London's supernatural underworld, who had never once in the six months she'd known him stumbled over a single word in any of his four languages —" | | 4 | "The sound came out sharp and sudden, and Lucien's expression shifted — relief, maybe, or something softer that she couldn't quite name." | | 5 | "Close enough that she could smell him — sandalwood, something darker underneath, something that didn't belong to this world." | | 6 | "The heterochromatic eyes — amber and black, warmth and void — watched her with an intensity that made her breath catch." | | 7 | "She watched the realisation hit him — that she'd seen through it, through all of it, the polished suit and the ivory cane and the careful control he wore like armour." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1028 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.0311284046692607 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.007782101167315175 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 193 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 193 | | mean | 9.63 | | std | 8.81 | | cv | 0.916 | | sampleLengths | | 0 | 4 | | 1 | 2 | | 2 | 2 | | 3 | 32 | | 4 | 23 | | 5 | 5 | | 6 | 3 | | 7 | 18 | | 8 | 12 | | 9 | 5 | | 10 | 3 | | 11 | 1 | | 12 | 5 | | 13 | 8 | | 14 | 15 | | 15 | 12 | | 16 | 14 | | 17 | 2 | | 18 | 4 | | 19 | 2 | | 20 | 31 | | 21 | 8 | | 22 | 3 | | 23 | 10 | | 24 | 1 | | 25 | 5 | | 26 | 4 | | 27 | 1 | | 28 | 4 | | 29 | 11 | | 30 | 29 | | 31 | 5 | | 32 | 10 | | 33 | 5 | | 34 | 10 | | 35 | 5 | | 36 | 4 | | 37 | 3 | | 38 | 3 | | 39 | 9 | | 40 | 34 | | 41 | 23 | | 42 | 3 | | 43 | 13 | | 44 | 9 | | 45 | 24 | | 46 | 9 | | 47 | 7 | | 48 | 7 | | 49 | 6 |
| |
| 49.05% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.3316062176165803 | | totalSentences | 193 | | uniqueOpeners | 64 | |
| 34.01% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 98 | | matches | | | ratio | 0.01 | |
| 89.39% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 98 | | matches | | 0 | "His charcoal suit was immaculate." | | 1 | "She didn't move the chain." | | 2 | "His accent wrapped around the" | | 3 | "She hadn't heard a word" | | 4 | "He tilted his head." | | 5 | "She looked back at him." | | 6 | "His face gave nothing away," | | 7 | "She closed the door." | | 8 | "His gaze swept the flat" | | 9 | "He didn't touch anything, but" | | 10 | "He stopped by the kitchen" | | 11 | "He turned to face her" | | 12 | "He was quiet for a" | | 13 | "She watched the muscle jump" | | 14 | "She couldn't help it." | | 15 | "He was close now" | | 16 | "She'd forgotten, in the months" | | 17 | "She hated how small they" | | 18 | "His fingers were long, elegant," | | 19 | "She'd watched those hands roll" |
| | ratio | 0.327 | |
| 41.63% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 82 | | totalSentences | 98 | | matches | | 0 | "The first deadbolt clicked." | | 1 | "Rory pulled open the door," | | 2 | "Lucien Moreau stood in the" | | 3 | "His charcoal suit was immaculate." | | 4 | "The amber eye caught the" | | 5 | "The black one swallowed it." | | 6 | "She didn't move the chain." | | 7 | "His accent wrapped around the" | | 8 | "Ptolemy wound between her ankles," | | 9 | "Rory stared at him." | | 10 | "She hadn't heard a word" | | 11 | "He tilted his head." | | 12 | "A strand of platinum hair" | | 13 | "Rory glanced over her shoulder." | | 14 | "The sound of footsteps retreating" | | 15 | "She looked back at him." | | 16 | "His face gave nothing away," | | 17 | "That was half the problem." | | 18 | "She closed the door." | | 19 | "Lucien stepped inside, ducking slightly" |
| | ratio | 0.837 | |
| 51.02% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 98 | | matches | | 0 | "As if she were something" |
| | ratio | 0.01 | |
| 61.22% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 4 | | matches | | 0 | "Ptolemy had retreated to the top of a bookshelf and was watching with the particular intensity of a cat who remembered an enemy." | | 1 | "Lucien Moreau, who could negotiate with demons and come out smiling, who could extract information from the most tight-lipped informants in London's supernatura…" | | 2 | "Close enough that she could smell him — sandalwood, something darker underneath, something that didn't belong to this world." | | 3 | "The heterochromatic eyes — amber and black, warmth and void — watched her with an intensity that made her breath catch." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 90 | | tagDensity | 0.011 | | leniency | 0.022 | | rawRatio | 0 | | effectiveRatio | 0 | |