| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 29 | | tagDensity | 0.414 | | leniency | 0.828 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 36.93% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 872 | | totalAiIsmAdverbs | 11 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 2 |
| | 2 | | | 3 | | | 4 | | | 5 | | | 6 | |
| | highlights | | 0 | "truly" | | 1 | "barely above a whisper" | | 2 | "warily" | | 3 | "slightly" | | 4 | "hesitantly" | | 5 | "slowly" | | 6 | "tightly" |
| |
| 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) | |
| 2.52% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 872 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "echoing" | | 1 | "silence" | | 2 | "flicker" | | 3 | "furrowed" | | 4 | "familiar" | | 5 | "whisper" | | 6 | "velvet" | | 7 | "pounding" | | 8 | "traced" | | 9 | "intricate" | | 10 | "racing" | | 11 | "unwavering" | | 12 | "cascading" | | 13 | "glistening" | | 14 | "race" | | 15 | "pang" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "couldn't help but" | | count | 1 |
|
| | highlights | | 0 | "couldn't help but notice" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 49 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 49 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 66 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 874 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 35.62% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 612 | | uniqueNames | 5 | | maxNameDensity | 2.29 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Moreau | 1 | | Rory | 14 | | Ptolemy | 1 | | Eva | 1 | | Lucien | 7 |
| | persons | | 0 | "Moreau" | | 1 | "Rory" | | 2 | "Eva" | | 3 | "Lucien" |
| | places | (empty) | | globalScore | 0.356 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | 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 | 874 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 66 | | matches | | |
| 99.66% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 29.13 | | std | 14.53 | | cv | 0.499 | | sampleLengths | | 0 | 22 | | 1 | 44 | | 2 | 14 | | 3 | 12 | | 4 | 46 | | 5 | 51 | | 6 | 40 | | 7 | 15 | | 8 | 15 | | 9 | 16 | | 10 | 37 | | 11 | 32 | | 12 | 23 | | 13 | 43 | | 14 | 14 | | 15 | 12 | | 16 | 56 | | 17 | 9 | | 18 | 35 | | 19 | 51 | | 20 | 19 | | 21 | 43 | | 22 | 39 | | 23 | 36 | | 24 | 45 | | 25 | 18 | | 26 | 29 | | 27 | 34 | | 28 | 2 | | 29 | 22 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 49 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 113 | | matches | (empty) | |
| 56.28% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 66 | | ratio | 0.03 | | matches | | 0 | "They had history — a complicated, tangled history of attraction and hurt, of things left unsaid between them." | | 1 | "This was the Lucien she remembered — the one who could be tender and thoughtful, the one who had once captivated her heart." |
| |
| 88.84% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 611 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, velvet-covered box." |
| | adverbCount | 24 | | adverbRatio | 0.03927986906710311 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.02618657937806874 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 66 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 66 | | mean | 13.24 | | std | 7.25 | | cv | 0.548 | | sampleLengths | | 0 | 22 | | 1 | 15 | | 2 | 11 | | 3 | 18 | | 4 | 9 | | 5 | 5 | | 6 | 12 | | 7 | 9 | | 8 | 20 | | 9 | 17 | | 10 | 11 | | 11 | 21 | | 12 | 19 | | 13 | 19 | | 14 | 21 | | 15 | 15 | | 16 | 10 | | 17 | 5 | | 18 | 10 | | 19 | 6 | | 20 | 6 | | 21 | 21 | | 22 | 10 | | 23 | 9 | | 24 | 23 | | 25 | 16 | | 26 | 7 | | 27 | 15 | | 28 | 23 | | 29 | 5 | | 30 | 11 | | 31 | 3 | | 32 | 10 | | 33 | 2 | | 34 | 10 | | 35 | 16 | | 36 | 30 | | 37 | 9 | | 38 | 16 | | 39 | 19 | | 40 | 9 | | 41 | 23 | | 42 | 19 | | 43 | 13 | | 44 | 6 | | 45 | 6 | | 46 | 37 | | 47 | 16 | | 48 | 23 | | 49 | 11 |
| |
| 63.64% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4090909090909091 | | totalSentences | 66 | | uniqueOpeners | 27 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 47 | | matches | | 0 | "Hesitantly, Rory took the box," | | 1 | "Slowly, she opened the lid," | | 2 | "Slowly, she closed the box," |
| | ratio | 0.064 | |
| 58.30% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 47 | | matches | | 0 | "His heterochromatic eyes, one amber" | | 1 | "They had history — a" | | 2 | "he asked, his voice low" | | 3 | "His presence filled the small" | | 4 | "She closed the door behind" | | 5 | "His mouth curved into a" | | 6 | "he murmured, his eyes finally" | | 7 | "She crossed her arms over" | | 8 | "He paused, a flicker of" | | 9 | "She shook her head, a" | | 10 | "he admitted, his voice barely" | | 11 | "He reached into his suit" | | 12 | "she breathed, her eyes lifting" | | 13 | "he said, his voice thick" | | 14 | "she asked, her voice barely" | | 15 | "he murmured, his own eyes" | | 16 | "He paused, his gaze searching" | | 17 | "He turned to leave, and" | | 18 | "He turned back to her," |
| | ratio | 0.404 | |
| 55.74% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 38 | | totalSentences | 47 | | matches | | 0 | "Rory's heart pounded as she" | | 1 | "Lucien Moreau stood there, immaculately" | | 2 | "His heterochromatic eyes, one amber" | | 3 | "They had history — a" | | 4 | "Rory breathed, her fingers tightening" | | 5 | "he asked, his voice low" | | 6 | "Rory hesitated, caught off guard" | | 7 | "Part of her wanted to" | | 8 | "His presence filled the small" | | 9 | "She closed the door behind" | | 10 | "Lucien's gaze swept over the" | | 11 | "His mouth curved into a" | | 12 | "he murmured, his eyes finally" | | 13 | "She crossed her arms over" | | 14 | "He paused, a flicker of" | | 15 | "Rory's heart stuttered at his" | | 16 | "She shook her head, a" | | 17 | "Lucien's brow furrowed, and he" | | 18 | "Rory felt the familiar sting" | | 19 | "he admitted, his voice barely" |
| | ratio | 0.809 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 47 | | matches | | 0 | "Before she could stop herself," |
| | ratio | 0.021 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 10 | | matches | | 0 | "Rory breathed, her fingers tightening on the doorframe" | | 1 | "he asked, his voice low and rich" | | 2 | "he murmured, his eyes finally settling on Rory" | | 3 | "He paused, a flicker of uncertainty crossing his features" | | 4 | "She shook, a bitter laugh escaping her lips" | | 5 | "he admitted, his voice barely above a whisper" | | 6 | "he said, his voice thick with emotion" | | 7 | "she asked, her voice barely above a whisper" | | 8 | "he murmured, his own eyes glistening with unshed tears" | | 9 | "He paused, his gaze searching hers" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 5 | | fancyTags | | 0 | "Rory breathed (breathe)" | | 1 | "he murmured (murmur)" | | 2 | "he admitted (admit)" | | 3 | "she breathed (breathe)" | | 4 | "he murmured (murmur)" |
| | dialogueSentences | 29 | | tagDensity | 0.276 | | leniency | 0.552 | | rawRatio | 0.625 | | effectiveRatio | 0.345 | |