| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 29 | | tagDensity | 0.379 | | leniency | 0.759 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 65.72% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1021 | | totalAiIsmAdverbs | 7 | | found | | 0 | | adverb | "reluctantly" | | count | 1 |
| | 1 | | | 2 | | | 3 | | | 4 | | adverb | "barely above a whisper" | | count | 1 |
| | 5 | | | 6 | |
| | highlights | | 0 | "reluctantly" | | 1 | "carefully" | | 2 | "truly" | | 3 | "suddenly" | | 4 | "barely above a whisper" | | 5 | "gently" | | 6 | "slightly" |
| |
| 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) | |
| 21.65% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1021 | | totalAiIsms | 16 | | found | | 0 | | | 1 | | | 2 | | word | "mask of indifference" | | count | 1 |
| | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | word | "down her spine" | | count | 1 |
| | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | |
| | highlights | | 0 | "unreadable" | | 1 | "encounter" | | 2 | "mask of indifference" | | 3 | "enigmatic" | | 4 | "flicker" | | 5 | "resolve" | | 6 | "wavering" | | 7 | "apprehension" | | 8 | "down her spine" | | 9 | "intensity" | | 10 | "raced" | | 11 | "whisper" | | 12 | "traced" | | 13 | "pulse" | | 14 | "pounding" | | 15 | "anticipation" |
| |
| 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 | "couldn't help but" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "couldn't help but feel" |
| |
| 98.54% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 63 | | matches | | 0 | "felt a shiver" | | 1 | "the thrill of anticipation" |
| |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 63 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 80 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1017 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 787 | | uniqueNames | 5 | | maxNameDensity | 2.03 | | worstName | "Rory" | | maxWindowNameDensity | 4 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 15 | | Moreau | 1 | | Eva | 1 | | Rory | 16 | | Half-Demon | 1 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Eva" | | 3 | "Rory" |
| | places | (empty) | | globalScore | 0.483 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | 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 | 1017 | | matches | (empty) | |
| 83.33% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 80 | | matches | | 0 | "burying that part" | | 1 | "deny that part" |
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| 80.07% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 29.91 | | std | 12.87 | | cv | 0.43 | | sampleLengths | | 0 | 32 | | 1 | 13 | | 2 | 32 | | 3 | 42 | | 4 | 44 | | 5 | 13 | | 6 | 17 | | 7 | 60 | | 8 | 39 | | 9 | 48 | | 10 | 20 | | 11 | 37 | | 12 | 17 | | 13 | 45 | | 14 | 34 | | 15 | 44 | | 16 | 20 | | 17 | 23 | | 18 | 30 | | 19 | 13 | | 20 | 21 | | 21 | 19 | | 22 | 43 | | 23 | 35 | | 24 | 19 | | 25 | 40 | | 26 | 41 | | 27 | 19 | | 28 | 15 | | 29 | 42 | | 30 | 9 | | 31 | 16 | | 32 | 32 | | 33 | 43 |
| |
| 94.12% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 63 | | matches | | 0 | "being drawn" | | 1 | "been drawn" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 140 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 80 | | ratio | 0 | | matches | (empty) | |
| 98.50% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 791 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.041719342604298354 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.017699115044247787 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 80 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 80 | | mean | 12.71 | | std | 6.2 | | cv | 0.487 | | sampleLengths | | 0 | 9 | | 1 | 23 | | 2 | 13 | | 3 | 23 | | 4 | 9 | | 5 | 10 | | 6 | 15 | | 7 | 17 | | 8 | 18 | | 9 | 26 | | 10 | 8 | | 11 | 5 | | 12 | 7 | | 13 | 10 | | 14 | 26 | | 15 | 14 | | 16 | 4 | | 17 | 16 | | 18 | 26 | | 19 | 13 | | 20 | 9 | | 21 | 25 | | 22 | 14 | | 23 | 13 | | 24 | 7 | | 25 | 16 | | 26 | 16 | | 27 | 5 | | 28 | 6 | | 29 | 11 | | 30 | 14 | | 31 | 15 | | 32 | 16 | | 33 | 12 | | 34 | 22 | | 35 | 9 | | 36 | 13 | | 37 | 20 | | 38 | 2 | | 39 | 11 | | 40 | 9 | | 41 | 15 | | 42 | 8 | | 43 | 15 | | 44 | 15 | | 45 | 10 | | 46 | 3 | | 47 | 19 | | 48 | 2 | | 49 | 12 |
| |
| 64.17% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.4 | | totalSentences | 80 | | uniqueOpeners | 32 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 62 | | matches | | 0 | "She'd spent years burying that" | | 1 | "His lips curved into a" | | 2 | "Her heart pounded in her" | | 3 | "She forced those feelings down," | | 4 | "She couldn't deny a slight" | | 5 | "She may have once been" | | 6 | "She didn't owe him anything." | | 7 | "She took a step closer," | | 8 | "She knew she was going" | | 9 | "She glanced around the flat," | | 10 | "she asked, her voice barely" | | 11 | "His thumb traced the line" | | 12 | "she breathed, her voice barely" | | 13 | "he interrupted, his grip on" | | 14 | "She couldn't believe she was" | | 15 | "She had to trust him." |
| | ratio | 0.258 | |
| 80.97% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 62 | | matches | | 0 | "Rory gripped the door handle," | | 1 | "The last person she expected" | | 2 | "The words caught in her" | | 3 | "Lucien's mismatched eyes were unreadable" | | 4 | "Rory's jaw tightened at the" | | 5 | "She'd spent years burying that" | | 6 | "Ptolemy, Eva's tabby cat, lifted" | | 7 | "Lucien paused to give the" | | 8 | "Rory closed the door, meeting" | | 9 | "His lips curved into a" | | 10 | "Rory folded her arms across" | | 11 | "Her heart pounded in her" | | 12 | "The hurt, the betrayal..." | | 13 | "She forced those feelings down," | | 14 | "Lucien's expression darkened briefly, a" | | 15 | "Rory arched a brow, her" | | 16 | "She couldn't deny a slight" | | 17 | "Lucien's gaze swept over her," | | 18 | "Rory challenged, her tone hardening" | | 19 | "She may have once been" |
| | ratio | 0.758 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 83.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 3 | | matches | | 0 | "Lucien's expression darkened briefly, a flash of something that might have been regret crossing his features before he schooled his face into a mask of indiffer…" | | 1 | "Lucien's gaze held hers, his eyes boring into her with an intensity that made her heart skip a beat." | | 2 | "Lucien stepped closer, his fingers brushing against her arm in a gesture that was almost tender." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 4 | | matches | | 0 | "Lucien's gaze swept, his intense stare making her shift uncomfortably" | | 1 | "Rory challenged, her tone hardening" | | 2 | "she asked, her voice barely above a whisper" | | 3 | "she breathed, her voice barely audible" |
| |
| 46.55% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 3 | | fancyTags | | 0 | "Rory challenged (challenge)" | | 1 | "she breathed (breathe)" | | 2 | "he interrupted (interrupt)" |
| | dialogueSentences | 29 | | tagDensity | 0.138 | | leniency | 0.276 | | rawRatio | 0.75 | | effectiveRatio | 0.207 | |