| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | 0 | "she asked cautiously [cautiously]" |
| | dialogueSentences | 23 | | tagDensity | 0.391 | | leniency | 0.783 | | rawRatio | 0.111 | | effectiveRatio | 0.087 | |
| 37.43% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 879 | | totalAiIsmAdverbs | 11 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | adverb | "barely above a whisper" | | count | 1 |
| | 5 | | | 6 | | | 7 | | adverb | "reluctantly" | | count | 1 |
|
| | highlights | | 0 | "slowly" | | 1 | "suddenly" | | 2 | "cautiously" | | 3 | "very" | | 4 | "barely above a whisper" | | 5 | "hesitantly" | | 6 | "gently" | | 7 | "reluctantly" |
| |
| 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 | 879 | | totalAiIsms | 27 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | word | "down her spine" | | count | 1 |
| | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | |
| | highlights | | 0 | "racing" | | 1 | "silence" | | 2 | "unspoken" | | 3 | "familiar" | | 4 | "magnetic" | | 5 | "pulse" | | 6 | "encounter" | | 7 | "pounding" | | 8 | "charged" | | 9 | "electric" | | 10 | "tension" | | 11 | "echoed" | | 12 | "furrowing" | | 13 | "navigated" | | 14 | "down her spine" | | 15 | "resolve" | | 16 | "whisper" | | 17 | "warmth" | | 18 | "palpable" | | 19 | "could feel" | | 20 | "weight" | | 21 | "raced" |
| |
| 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 widened" | | 1 | "sent a shiver down" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 53 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 53 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 67 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 882 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 52.99% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 670 | | uniqueNames | 5 | | maxNameDensity | 1.94 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Lucien | 10 | | Moreau | 1 | | Rory | 13 | | Ptolemy | 1 | | Eva | 1 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Rory" | | 3 | "Eva" |
| | places | (empty) | | globalScore | 0.53 | | windowScore | 0.667 | |
| 95.65% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 882 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 67 | | matches | (empty) | |
| 92.88% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 28.45 | | std | 13.52 | | cv | 0.475 | | sampleLengths | | 0 | 36 | | 1 | 13 | | 2 | 33 | | 3 | 31 | | 4 | 52 | | 5 | 37 | | 6 | 13 | | 7 | 19 | | 8 | 17 | | 9 | 41 | | 10 | 40 | | 11 | 7 | | 12 | 31 | | 13 | 42 | | 14 | 9 | | 15 | 40 | | 16 | 31 | | 17 | 19 | | 18 | 28 | | 19 | 30 | | 20 | 49 | | 21 | 7 | | 22 | 24 | | 23 | 14 | | 24 | 15 | | 25 | 34 | | 26 | 28 | | 27 | 29 | | 28 | 16 | | 29 | 63 | | 30 | 34 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 53 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 120 | | matches | | |
| 14.93% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 67 | | ratio | 0.045 | | matches | | 0 | "He looked the same as she remembered - impeccably dressed in a charcoal suit, platinum hair slicked back, heterochromatic eyes boring into her." | | 1 | "There was an undercurrent of something - unease, maybe, or perhaps a hint of vulnerability that she couldn't quite place." | | 2 | "The honesty in his voice, the vulnerability in his eyes - it was a side of Lucien she had only glimpsed a few times before." |
| |
| 91.71% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 667 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.049475262368815595 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.017991004497751123 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 67 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 67 | | mean | 13.16 | | std | 6.97 | | cv | 0.529 | | sampleLengths | | 0 | 24 | | 1 | 12 | | 2 | 8 | | 3 | 5 | | 4 | 23 | | 5 | 10 | | 6 | 11 | | 7 | 20 | | 8 | 10 | | 9 | 13 | | 10 | 14 | | 11 | 15 | | 12 | 14 | | 13 | 11 | | 14 | 12 | | 15 | 13 | | 16 | 14 | | 17 | 5 | | 18 | 4 | | 19 | 6 | | 20 | 7 | | 21 | 8 | | 22 | 18 | | 23 | 15 | | 24 | 9 | | 25 | 14 | | 26 | 17 | | 27 | 7 | | 28 | 6 | | 29 | 25 | | 30 | 6 | | 31 | 19 | | 32 | 17 | | 33 | 9 | | 34 | 4 | | 35 | 36 | | 36 | 14 | | 37 | 17 | | 38 | 9 | | 39 | 10 | | 40 | 8 | | 41 | 20 | | 42 | 6 | | 43 | 24 | | 44 | 8 | | 45 | 25 | | 46 | 16 | | 47 | 3 | | 48 | 4 | | 49 | 10 |
| |
| 68.16% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.417910447761194 | | totalSentences | 67 | | uniqueOpeners | 28 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 53 | | matches | | 0 | "Slowly, she nodded and pulled" | | 1 | "Slowly, she nodded." | | 2 | "Suddenly, the sound of a" |
| | ratio | 0.057 | |
| 69.06% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 53 | | matches | | 0 | "she breathed, fingers tightening around" | | 1 | "He looked the same as" | | 2 | "he asked, voice low and" | | 3 | "She hesitated, memories of their" | | 4 | "she asked, folding her arms" | | 5 | "He regarded her for a" | | 6 | "she echoed, brow furrowing" | | 7 | "He ran a hand through" | | 8 | "He had always been difficult" | | 9 | "she asked cautiously" | | 10 | "He stepped closer, lowering his" | | 11 | "She knew the kind of" | | 12 | "she whispered, heart sinking" | | 13 | "He shook his head." | | 14 | "His eyes bore into hers," | | 15 | "she asked, voice barely above" | | 16 | "He paused, swallowing hard" | | 17 | "He nodded, his thumb gently" | | 18 | "They stood there for a" | | 19 | "She knew she was putting" |
| | ratio | 0.377 | |
| 44.91% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 44 | | totalSentences | 53 | | matches | | 0 | "Rory's eyes widened as she" | | 1 | "A tense silence stretched between" | | 2 | "she breathed, fingers tightening around" | | 3 | "He looked the same as" | | 4 | "That familiar, magnetic presence of" | | 5 | "he asked, voice low and" | | 6 | "She hesitated, memories of their" | | 7 | "The hurt, the anger, the" | | 8 | "Lucien swept past her, the" | | 9 | "Rory closed the door, heart" | | 10 | "The flat felt suddenly smaller," | | 11 | "she asked, folding her arms" | | 12 | "He regarded her for a" | | 13 | "Rory blinked, taken aback." | | 14 | "she echoed, brow furrowing" | | 15 | "Lucien had the decency to" | | 16 | "He ran a hand through" | | 17 | "Rory searched his face, trying" | | 18 | "He had always been difficult" | | 19 | "she asked cautiously" |
| | ratio | 0.83 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 53 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 1 | | matches | | 0 | "Rory felt her resolve crumbling, the walls she had built up around her heart starting to crack." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 5 | | matches | | 0 | "she breathed, fingers tightening around the doorframe" | | 1 | "he asked, voice low and smooth" | | 2 | "she echoed, brow furrowing" | | 3 | "she whispered, heart sinking" | | 4 | "she asked, voice barely above a whisper" |
| |
| 63.04% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 2 | | fancyTags | | 0 | "she breathed (breathe)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 23 | | tagDensity | 0.261 | | leniency | 0.522 | | rawRatio | 0.333 | | effectiveRatio | 0.174 | |