| 18.18% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 4 | | adverbTags | | 0 | "She leaned back [back]" | | 1 | "she asked gently [gently]" | | 2 | "she said softly [softly]" | | 3 | "she said softly [softly]" |
| | dialogueSentences | 35 | | tagDensity | 0.629 | | leniency | 1 | | rawRatio | 0.182 | | effectiveRatio | 0.182 | |
| 48.92% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 881 | | totalAiIsmAdverbs | 9 | | found | | 0 | | adverb | "barely above a whisper" | | count | 4 |
| | 1 | | | 2 | | | 3 | | | 4 | |
| | highlights | | 0 | "barely above a whisper" | | 1 | "gently" | | 2 | "softly" | | 3 | "slowly" | | 4 | "quickly" |
| |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | 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 | 881 | | totalAiIsms | 24 | | found | | 0 | | | 1 | | | 2 | | word | "skipped a beat" | | count | 1 |
| | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | word | "calloused fingers" | | count | 1 |
| | 9 | | | 10 | | | 11 | | | 12 | | | 13 | |
| | highlights | | 0 | "familiar" | | 1 | "scanned" | | 2 | "skipped a beat" | | 3 | "whisper" | | 4 | "tracing" | | 5 | "furrowed" | | 6 | "weight" | | 7 | "unspoken" | | 8 | "calloused fingers" | | 9 | "warmth" | | 10 | "silence" | | 11 | "glistening" | | 12 | "amidst" | | 13 | "determined" |
| |
| 0.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 4 | | maxInWindow | 4 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "air was thick with" | | count | 1 |
| | 2 | | label | "weight of words/silence" | | count | 2 |
|
| | highlights | | 0 | "eyes widened" | | 1 | "The air was thick with" | | 2 | "the weight of his words" |
| |
| 92.32% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 51 | | matches | | 0 | "y with regret" | | 1 | "felt a lump" |
| |
| 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 | 64 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 880 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 1 | | matches | | 0 | "Finally, Silas spoke, his voice barely audible." |
| |
| 55.66% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 689 | | uniqueNames | 4 | | maxNameDensity | 1.89 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 0.557 | | windowScore | 0.833 | |
| 45.83% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 2 | | matches | | 0 | "quite reach his eyes" | | 1 | "felt like an eternity, the din of the b" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 880 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 64 | | matches | (empty) | |
| 64.88% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 27 | | mean | 32.59 | | std | 12.29 | | cv | 0.377 | | sampleLengths | | 0 | 59 | | 1 | 53 | | 2 | 9 | | 3 | 33 | | 4 | 36 | | 5 | 39 | | 6 | 44 | | 7 | 27 | | 8 | 21 | | 9 | 43 | | 10 | 45 | | 11 | 24 | | 12 | 16 | | 13 | 52 | | 14 | 38 | | 15 | 25 | | 16 | 29 | | 17 | 46 | | 18 | 16 | | 19 | 31 | | 20 | 30 | | 21 | 12 | | 22 | 29 | | 23 | 34 | | 24 | 27 | | 25 | 27 | | 26 | 35 |
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| 77.74% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 51 | | matches | | 0 | "was transported" | | 1 | "been slapped" | | 2 | "was lost" | | 3 | "been forced" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 112 | | matches | (empty) | |
| 98.21% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 64 | | ratio | 0.016 | | matches | | 0 | "Silas's eyes widened, and for a moment, Rory saw a glimmer of the boy she had once known—the one who had held her heart in the palm of his hand." |
| |
| 95.69% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 690 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.04492753623188406 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.01884057971014493 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 64 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 64 | | mean | 13.75 | | std | 7.68 | | cv | 0.559 | | sampleLengths | | 0 | 26 | | 1 | 16 | | 2 | 17 | | 3 | 28 | | 4 | 25 | | 5 | 9 | | 6 | 9 | | 7 | 17 | | 8 | 7 | | 9 | 17 | | 10 | 14 | | 11 | 5 | | 12 | 11 | | 13 | 19 | | 14 | 9 | | 15 | 5 | | 16 | 26 | | 17 | 13 | | 18 | 9 | | 19 | 18 | | 20 | 5 | | 21 | 16 | | 22 | 9 | | 23 | 12 | | 24 | 22 | | 25 | 19 | | 26 | 21 | | 27 | 5 | | 28 | 6 | | 29 | 11 | | 30 | 7 | | 31 | 14 | | 32 | 2 | | 33 | 7 | | 34 | 10 | | 35 | 18 | | 36 | 17 | | 37 | 9 | | 38 | 7 | | 39 | 22 | | 40 | 12 | | 41 | 13 | | 42 | 17 | | 43 | 12 | | 44 | 30 | | 45 | 16 | | 46 | 10 | | 47 | 6 | | 48 | 15 | | 49 | 12 |
| |
| 50.52% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.3125 | | totalSentences | 64 | | uniqueOpeners | 20 | |
| 65.36% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 51 | | matches | | 0 | "Finally, Silas spoke, his voice" |
| | ratio | 0.02 | |
| 8.24% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 51 | | matches | | 0 | "Her eyes scanned the crowded" | | 1 | "she breathed, her voice barely" | | 2 | "she murmured, a bittersweet wave" | | 3 | "He studied her, his gaze" | | 4 | "She leaned back in her" | | 5 | "he murmured, his fingers tightening" | | 6 | "she asked gently, reaching across" | | 7 | "He tensed at the contact," | | 8 | "he sighed, his gaze fixed" | | 9 | "He took a long, slow" | | 10 | "she said softly, her thumb" | | 11 | "he murmured, his eyes meeting" | | 12 | "He held up a hand," | | 13 | "he said, his voice heavy" | | 14 | "He sighed, running a hand" | | 15 | "she said softly" | | 16 | "She paused, her breath catching" | | 17 | "he murmured, his voice barely" | | 18 | "she admitted, her voice barely" | | 19 | "he breathed, his hand falling" |
| | ratio | 0.529 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 51 | | matches | | 0 | "The air was thick with" | | 1 | "Her eyes scanned the crowded" | | 2 | "A flash of auburn hair" | | 3 | "she breathed, her voice barely" | | 4 | "The man looked up, hazel" | | 5 | "A smile tugged at the" | | 6 | "Rory slid into the chair" | | 7 | "she murmured, a bittersweet wave" | | 8 | "Silas chuckled, a low, rumbling" | | 9 | "He studied her, his gaze" | | 10 | "Rory offered a wry smile." | | 11 | "She leaned back in her" | | 12 | "Silas's expression darkened, the lines" | | 13 | "he murmured, his fingers tightening" | | 14 | "Rory's brow furrowed with concern." | | 15 | "she asked gently, reaching across" | | 16 | "He tensed at the contact," | | 17 | "he sighed, his gaze fixed" | | 18 | "He took a long, slow" | | 19 | "Rory's heart ached at the" |
| | ratio | 0.922 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 51 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | technicalSentenceCount | 1 | | matches | | 0 | "Rory's heart ached at the weight of his words, the unspoken pain that lingered in the air between them." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 10 | | matches | | 0 | "she breathed, her voice barely above a whisper" | | 1 | "He studied, his gaze sweeping over her features" | | 2 | "he said, his voice heavy with regret" | | 3 | "She paused, her breath catching in her throat" | | 4 | "he murmured, his voice barely above a whisper" | | 5 | "she admitted, her voice barely above a whisper" | | 6 | "he breathed, his hand falling away from her face" | | 7 | "she whispered, her own hand falling back to the table" | | 8 | "she said, her voice barely above a whisper" | | 9 | "he murmured, his fingers closing around hers" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 17 | | fancyCount | 12 | | fancyTags | | 0 | "she breathed (breathe)" | | 1 | "she murmured (murmur)" | | 2 | "he murmured (murmur)" | | 3 | "he sighed (sigh)" | | 4 | "he murmured (murmur)" | | 5 | "He sighed (sigh)" | | 6 | "he murmured (murmur)" | | 7 | "she admitted (admit)" | | 8 | "he breathed (breathe)" | | 9 | "she whispered (whisper)" | | 10 | "she murmured (murmur)" | | 11 | "he murmured (murmur)" |
| | dialogueSentences | 35 | | tagDensity | 0.486 | | leniency | 0.971 | | rawRatio | 0.706 | | effectiveRatio | 0.686 | |