| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 27 | | adverbTagCount | 3 | | adverbTags | | 0 | "She stepped back [back]" | | 1 | "he said finally [finally]" | | 2 | "Rory leaned back [back]" |
| | dialogueSentences | 68 | | tagDensity | 0.397 | | leniency | 0.794 | | rawRatio | 0.111 | | effectiveRatio | 0.088 | |
| 88.86% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1346 | | totalAiIsmAdverbs | 3 | | 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) | |
| 36.85% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1346 | | totalAiIsms | 17 | | found | | 0 | | | 1 | | | 2 | | | 3 | | word | "down her spine" | | count | 1 |
| | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | |
| | highlights | | 0 | "intensity" | | 1 | "rhythmic" | | 2 | "otherworldly" | | 3 | "down her spine" | | 4 | "could feel" | | 5 | "silence" | | 6 | "intrigue" | | 7 | "tracing" | | 8 | "whisper" | | 9 | "racing" | | 10 | "electric" | | 11 | "unspoken" | | 12 | "encounter" | | 13 | "shattered" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "sent a shiver down" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 68 | | matches | | |
| 79.83% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 68 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 106 | | 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 | 1332 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 810 | | uniqueNames | 5 | | maxNameDensity | 1.6 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Eva | 3 | | London | 2 | | Rory | 13 | | Moreau | 1 | | Lucien | 11 |
| | persons | | 0 | "Eva" | | 1 | "Rory" | | 2 | "Moreau" | | 3 | "Lucien" |
| | places | | | globalScore | 0.698 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed smaller with him in it" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1332 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 106 | | matches | (empty) | |
| 87.82% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 57 | | mean | 23.37 | | std | 10.69 | | cv | 0.457 | | sampleLengths | | 0 | 43 | | 1 | 28 | | 2 | 38 | | 3 | 27 | | 4 | 32 | | 5 | 32 | | 6 | 43 | | 7 | 26 | | 8 | 15 | | 9 | 7 | | 10 | 25 | | 11 | 8 | | 12 | 3 | | 13 | 43 | | 14 | 14 | | 15 | 25 | | 16 | 10 | | 17 | 22 | | 18 | 32 | | 19 | 15 | | 20 | 18 | | 21 | 30 | | 22 | 33 | | 23 | 36 | | 24 | 7 | | 25 | 12 | | 26 | 17 | | 27 | 41 | | 28 | 16 | | 29 | 28 | | 30 | 7 | | 31 | 5 | | 32 | 12 | | 33 | 21 | | 34 | 25 | | 35 | 29 | | 36 | 27 | | 37 | 13 | | 38 | 31 | | 39 | 10 | | 40 | 29 | | 41 | 22 | | 42 | 35 | | 43 | 11 | | 44 | 31 | | 45 | 18 | | 46 | 40 | | 47 | 13 | | 48 | 22 | | 49 | 16 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 68 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 137 | | matches | | 0 | "was racing" | | 1 | "was coming" |
| |
| 8.09% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 106 | | ratio | 0.047 | | matches | | 0 | "His heterochromatic eyes—one amber, one black—fixed on her with unnerving intensity." | | 1 | "The faint scent of expensive cologne and something otherworldly—ozone and cardamom—followed him into the cramped flat." | | 2 | "He only called her that when he was angry or when they'd been—" | | 3 | "Avaros—his father's realm, the demon dimension she'd only heard described in whispers and warnings." | | 4 | "The air between them crackled with unspoken words, with the memory of their last encounter—the shouting, the accusations, the desperate kiss that had almost changed everything." |
| |
| 93.39% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 820 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 28 | | adverbRatio | 0.03414634146341464 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.020731707317073172 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 106 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 106 | | mean | 12.57 | | std | 6.77 | | cv | 0.539 | | sampleLengths | | 0 | 15 | | 1 | 10 | | 2 | 6 | | 3 | 12 | | 4 | 28 | | 5 | 6 | | 6 | 21 | | 7 | 11 | | 8 | 19 | | 9 | 8 | | 10 | 16 | | 11 | 16 | | 12 | 14 | | 13 | 18 | | 14 | 8 | | 15 | 19 | | 16 | 16 | | 17 | 26 | | 18 | 14 | | 19 | 1 | | 20 | 7 | | 21 | 12 | | 22 | 13 | | 23 | 8 | | 24 | 3 | | 25 | 19 | | 26 | 24 | | 27 | 14 | | 28 | 16 | | 29 | 9 | | 30 | 3 | | 31 | 7 | | 32 | 13 | | 33 | 9 | | 34 | 20 | | 35 | 12 | | 36 | 6 | | 37 | 9 | | 38 | 8 | | 39 | 10 | | 40 | 14 | | 41 | 16 | | 42 | 11 | | 43 | 19 | | 44 | 3 | | 45 | 16 | | 46 | 20 | | 47 | 7 | | 48 | 12 | | 49 | 12 |
| |
| 81.13% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5094339622641509 | | totalSentences | 106 | | uniqueOpeners | 54 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 68 | | matches | (empty) | | ratio | 0 | |
| 67.06% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 68 | | matches | | 0 | "His heterochromatic eyes—one amber, one" | | 1 | "She stepped back, gesturing him" | | 2 | "He entered, his ivory-handled cane" | | 3 | "He only called her that" | | 4 | "she repeated, her voice firmer" | | 5 | "he asked, his voice closer" | | 6 | "She turned, finding him leaning" | | 7 | "She busied herself with mugs," | | 8 | "He moved into the tiny" | | 9 | "His voice softened" | | 10 | "She carried the mugs to" | | 11 | "His suit jacket strained slightly" | | 12 | "She sat opposite him, the" | | 13 | "His expression didn't change, but" | | 14 | "he said finally, fingers tracing" | | 15 | "His lips thinned." | | 16 | "He hesitated, something she rarely" | | 17 | "She laughed, the sound brittle" | | 18 | "He leaned forward, his voice" | | 19 | "His eyes held hers, unyielding" |
| | ratio | 0.382 | |
| 18.82% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 68 | | matches | | 0 | "The deadbolt clicked open under" | | 1 | "The irony wasn't lost on" | | 2 | "The voice cut through the" | | 3 | "Rory's hand froze on the" | | 4 | "Lucien Moreau filled the narrow" | | 5 | "His heterochromatic eyes—one amber, one" | | 6 | "She stepped back, gesturing him" | | 7 | "He entered, his ivory-handled cane" | | 8 | "The faint scent of expensive" | | 9 | "Rory closed the door, flipping" | | 10 | "A necessary precaution, though she" | | 11 | "The flat seemed smaller with" | | 12 | "Books towered in precarious stacks" | | 13 | "Ptolemy, Eva's tabby cat, watched" | | 14 | "Lucien ran a finger along" | | 15 | "Rory moved to the small" | | 16 | "The use of her full" | | 17 | "He only called her that" | | 18 | "she repeated, her voice firmer" | | 19 | "he asked, his voice closer" |
| | ratio | 0.882 | |
| 73.53% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 68 | | matches | | 0 | "Before she could answer, the" |
| | ratio | 0.015 | |
| 85.71% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 2 | | matches | | 0 | "Lucien Moreau filled the narrow hallway, his charcoal suit immaculate despite the London drizzle that had surely coated the city outside." | | 1 | "The air between them crackled with unspoken words, with the memory of their last encounter—the shouting, the accusations, the desperate kiss that had almost cha…" |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 27 | | uselessAdditionCount | 8 | | matches | | 0 | "she repeated, her voice firmer this time" | | 1 | "he asked, his voice closer than she expected" | | 2 | "She busied, her movements precise" | | 3 | "he said finally, fingers tracing the rim of the mug" | | 4 | "He leaned, his voice dropping to a near-whisper" | | 5 | "His eyes held, unyielding" | | 6 | "Lucien closed, his presence overwhelming" | | 7 | "she whispered, not pulling away from his touch" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 3 | | fancyTags | | 0 | "she repeated (repeat)" | | 1 | "She laughed (laugh)" | | 2 | "she whispered (whisper)" |
| | dialogueSentences | 68 | | tagDensity | 0.088 | | leniency | 0.176 | | rawRatio | 0.5 | | effectiveRatio | 0.088 | |