| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said simply [simply]" |
| | dialogueSentences | 26 | | tagDensity | 0.577 | | leniency | 1 | | rawRatio | 0.067 | | effectiveRatio | 0.067 | |
| 54.25% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 765 | | totalAiIsmAdverbs | 7 | | found | | 0 | | adverb | "barely above a whisper" | | count | 1 |
| | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | adverb | "ever so slightly" | | count | 1 |
| | 6 | |
| | highlights | | 0 | "barely above a whisper" | | 1 | "tightly" | | 2 | "slightly" | | 3 | "suddenly" | | 4 | "quickly" | | 5 | "ever so slightly" | | 6 | "slowly" |
| |
| 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 | 765 | | totalAiIsms | 19 | | found | | 0 | | | 1 | | | 2 | | word | "down her spine" | | count | 1 |
| | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | |
| | highlights | | 0 | "gleaming" | | 1 | "whisper" | | 2 | "down her spine" | | 3 | "echo" | | 4 | "familiar" | | 5 | "echoed" | | 6 | "unspoken" | | 7 | "pang" | | 8 | "shattered" | | 9 | "tension" | | 10 | "etched" | | 11 | "encounter" | | 12 | "flickered" | | 13 | "implication" | | 14 | "stark" | | 15 | "testament" |
| |
| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "couldn't help but" | | count | 1 |
| | 2 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "eyes widened" | | 1 | "couldn't help but wonder" | | 2 | "hung in the air" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 51 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 51 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 62 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 771 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 44.99% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 619 | | uniqueNames | 6 | | maxNameDensity | 2.1 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 12 | | Eva | 2 | | Ptolemy | 1 | | Rory | 13 | | Trust | 1 | | Relief | 1 |
| | persons | | 0 | "Lucien" | | 1 | "Eva" | | 2 | "Rory" | | 3 | "Relief" |
| | places | (empty) | | globalScore | 0.45 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | 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 | 771 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 62 | | matches | (empty) | |
| 76.33% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 23 | | mean | 33.52 | | std | 13.98 | | cv | 0.417 | | sampleLengths | | 0 | 34 | | 1 | 36 | | 2 | 13 | | 3 | 42 | | 4 | 45 | | 5 | 46 | | 6 | 23 | | 7 | 27 | | 8 | 37 | | 9 | 29 | | 10 | 16 | | 11 | 15 | | 12 | 23 | | 13 | 33 | | 14 | 55 | | 15 | 23 | | 16 | 32 | | 17 | 12 | | 18 | 31 | | 19 | 29 | | 20 | 62 | | 21 | 49 | | 22 | 59 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 51 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 116 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 62 | | ratio | 0.081 | | matches | | 0 | "Rory felt a flutter in her chest — she'd forgotten just how devastatingly handsome he was." | | 1 | "There was an undercurrent of something in his tone — tightly controlled emotion, perhaps." | | 2 | "As Lucien strode past her, the familiar scent of his cologne — crisp and woodsy — enveloped her, stirring up a swirl of memories." | | 3 | "Rory understood the unspoken implication — Eva's flat, with its limited security, was too vulnerable." | | 4 | "As they descended the stairs, she couldn't help but wonder what exactly they were about to get themselves into — and whether it would be the catalyst to finally confront the ghosts of their past." |
| |
| 78.65% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 614 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 36 | | adverbRatio | 0.05863192182410423 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.026058631921824105 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 62 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 62 | | mean | 12.44 | | std | 7.02 | | cv | 0.565 | | sampleLengths | | 0 | 9 | | 1 | 16 | | 2 | 9 | | 3 | 20 | | 4 | 16 | | 5 | 7 | | 6 | 6 | | 7 | 16 | | 8 | 14 | | 9 | 12 | | 10 | 13 | | 11 | 24 | | 12 | 8 | | 13 | 14 | | 14 | 22 | | 15 | 10 | | 16 | 11 | | 17 | 12 | | 18 | 5 | | 19 | 16 | | 20 | 4 | | 21 | 2 | | 22 | 12 | | 23 | 25 | | 24 | 1 | | 25 | 12 | | 26 | 16 | | 27 | 8 | | 28 | 8 | | 29 | 3 | | 30 | 12 | | 31 | 3 | | 32 | 10 | | 33 | 10 | | 34 | 10 | | 35 | 18 | | 36 | 5 | | 37 | 15 | | 38 | 17 | | 39 | 23 | | 40 | 17 | | 41 | 6 | | 42 | 14 | | 43 | 7 | | 44 | 7 | | 45 | 4 | | 46 | 7 | | 47 | 5 | | 48 | 4 | | 49 | 21 |
| |
| 91.40% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.5483870967741935 | | totalSentences | 62 | | uniqueOpeners | 34 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 48 | | matches | (empty) | | ratio | 0 | |
| 61.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 48 | | matches | | 0 | "She hadn't seen Lucien in" | | 1 | "she breathed, barely above a" | | 2 | "he interrupted, his low voice" | | 3 | "She closed the door, her" | | 4 | "She felt suddenly self-conscious, wishing" | | 5 | "he said simply, his eyes" | | 6 | "She chewed her lower lip," | | 7 | "She ran a hand through" | | 8 | "He took a step closer," | | 9 | "She could see the strain" | | 10 | "she heard herself say, the" | | 11 | "he said, his voice low" | | 12 | "He glanced around the flat" | | 13 | "He paused, his expression softening" | | 14 | "She nodded slowly." | | 15 | "she said, turning to gather" | | 16 | "He stood there, ramrod straight," | | 17 | "She caught the faint lines" | | 18 | "It was a testament to" |
| | ratio | 0.396 | |
| 64.17% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 38 | | totalSentences | 48 | | matches | | 0 | "Rory's heart pounded as she" | | 1 | "She hadn't seen Lucien in" | | 2 | "There he stood, platinum hair" | | 3 | "Rory felt a flutter in" | | 4 | "she breathed, barely above a" | | 5 | "he interrupted, his low voice" | | 6 | "Rory hesitated for the briefest" | | 7 | "She closed the door, her" | | 8 | "Rory asked, turning to face" | | 9 | "Eva's flat was in its" | | 10 | "She felt suddenly self-conscious, wishing" | | 11 | "Lucien's gaze swept over the" | | 12 | "he said simply, his eyes" | | 13 | "Rory blinked, caught off guard." | | 14 | "Lucien's mouth tightened into a" | | 15 | "The word hung in the" | | 16 | "Rory felt a pang of" | | 17 | "She chewed her lower lip," | | 18 | "Lucien's eyes darkened." | | 19 | "Rory's eyes widened." |
| | ratio | 0.792 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 48 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 1 | | matches | | 0 | "Leading the way out of the flat, Rory felt Lucien's presence close behind her, the familiar scent of his cologne enveloping her once more." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 8 | | matches | | 0 | "he interrupted, his low voice sending a shiver down her spine" | | 1 | "Rory asked, turning to face him" | | 2 | "he said simply, his eyes searching her face" | | 3 | "Lucien said, his gaze shifting away" | | 4 | "He took, his expression intense" | | 5 | "he said, his voice low" | | 6 | "He paused, his expression softening ever so slightly" | | 7 | "she said, turning to gather her things" |
| |
| 34.62% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 3 | | fancyTags | | 0 | "she breathed (breathe)" | | 1 | "he interrupted (interrupt)" | | 2 | "she heard (hear)" |
| | dialogueSentences | 26 | | tagDensity | 0.346 | | leniency | 0.692 | | rawRatio | 0.333 | | effectiveRatio | 0.231 | |