| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 9 | | adverbTags | | 0 | "He hesitated uncharacteristically [uncharacteristically]" | | 1 | "she corrected quietly [quietly]" | | 2 | "He paused seemingly [seemingly]" | | 3 | "She gestured vaguely [vaguely]" | | 4 | "She swallowed hard [hard]" | | 5 | "she admitted softly [softly]" | | 6 | "he said quietly [quietly]" | | 7 | "She turned away [away]" | | 8 | "The door opened then [then]" |
| | dialogueSentences | 40 | | tagDensity | 0.55 | | leniency | 1 | | rawRatio | 0.409 | | effectiveRatio | 0.409 | |
| 59.60% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 990 | | totalAiIsmAdverbs | 8 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | adverb | "barely above a whisper" | | count | 1 |
|
| | highlights | | 0 | "carefully" | | 1 | "slightly" | | 2 | "lightly" | | 3 | "suddenly" | | 4 | "softly" | | 5 | "barely above a whisper" |
| |
| 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 | 990 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "weight" | | 1 | "palpable" | | 2 | "electric" | | 3 | "stomach" | | 4 | "furrowed" | | 5 | "throb" | | 6 | "flicker" | | 7 | "depths" | | 8 | "shattered" | | 9 | "familiar" | | 10 | "echoed" | | 11 | "etched" | | 12 | "whisper" | | 13 | "could feel" | | 14 | "tinged" | | 15 | "echoes" | | 16 | "silence" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
|
| | highlights | | |
| 97.22% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 60 | | matches | | 0 | "y in relief" | | 1 | "g with regret" |
| |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 60 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 78 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 998 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 53.98% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 729 | | uniqueNames | 3 | | maxNameDensity | 1.92 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | | persons | | 0 | "Lucien" | | 1 | "Frenchman" | | 2 | "Rory" |
| | places | (empty) | | globalScore | 0.54 | | windowScore | 0.833 | |
| 98.98% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | glossingSentenceCount | 1 | | matches | | 0 | "He paused, seemingly searching for the r" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 998 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 78 | | matches | (empty) | |
| 79.52% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 38.38 | | std | 16.44 | | cv | 0.428 | | sampleLengths | | 0 | 44 | | 1 | 65 | | 2 | 14 | | 3 | 26 | | 4 | 29 | | 5 | 29 | | 6 | 36 | | 7 | 23 | | 8 | 69 | | 9 | 14 | | 10 | 53 | | 11 | 11 | | 12 | 48 | | 13 | 15 | | 14 | 26 | | 15 | 31 | | 16 | 31 | | 17 | 55 | | 18 | 44 | | 19 | 48 | | 20 | 70 | | 21 | 45 | | 22 | 50 | | 23 | 32 | | 24 | 48 | | 25 | 42 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 60 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 119 | | matches | (empty) | |
| 32.97% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 78 | | ratio | 0.038 | | matches | | 0 | "Rory's heart thudded against her ribs, memories flashing through her mind — Lucien's molten amber and coal-black eyes, the sensual curve of his lips, the electric charge that had crackled between them." | | 1 | "The connection between them had been electric, undeniable — and its loss still ached, a dull, persistent throb in her heart." | | 2 | "Rory caught a glimpse of his expression — a strange mix of wonder and sorrow — before he turned to face her, the ivory head of his cane tapping lightly against the worn wooden floorboards." |
| |
| 77.14% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 729 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 39 | | adverbRatio | 0.053497942386831275 | | lyAdverbCount | 19 | | lyAdverbRatio | 0.02606310013717421 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 78 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 78 | | mean | 12.79 | | std | 8.05 | | cv | 0.629 | | sampleLengths | | 0 | 8 | | 1 | 21 | | 2 | 15 | | 3 | 22 | | 4 | 32 | | 5 | 11 | | 6 | 9 | | 7 | 5 | | 8 | 15 | | 9 | 5 | | 10 | 6 | | 11 | 13 | | 12 | 7 | | 13 | 5 | | 14 | 4 | | 15 | 8 | | 16 | 5 | | 17 | 14 | | 18 | 2 | | 19 | 11 | | 20 | 25 | | 21 | 3 | | 22 | 15 | | 23 | 5 | | 24 | 5 | | 25 | 20 | | 26 | 2 | | 27 | 21 | | 28 | 21 | | 29 | 11 | | 30 | 3 | | 31 | 18 | | 32 | 35 | | 33 | 10 | | 34 | 1 | | 35 | 4 | | 36 | 33 | | 37 | 11 | | 38 | 11 | | 39 | 4 | | 40 | 5 | | 41 | 16 | | 42 | 5 | | 43 | 6 | | 44 | 11 | | 45 | 14 | | 46 | 15 | | 47 | 7 | | 48 | 9 | | 49 | 11 |
| |
| 52.99% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.3717948717948718 | | totalSentences | 78 | | uniqueOpeners | 29 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 58 | | matches | | 0 | "Only Lucien had ever called" | | 1 | "Then, with a soft sigh," |
| | ratio | 0.034 | |
| 54.48% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 58 | | matches | | 0 | "she said at last, her" | | 1 | "He gave her a rueful" | | 2 | "He hesitated, uncharacteristically uncertain" | | 3 | "she corrected quietly" | | 4 | "He paused, gaze dropping briefly" | | 5 | "He shook his head, frustration" | | 6 | "She could still feel the" | | 7 | "He paused, seemingly searching for" | | 8 | "She gestured vaguely at the" | | 9 | "She crossed her arms over" | | 10 | "He held her gaze, expression" | | 11 | "He shook his head, eyes" | | 12 | "she echoed, her voice trembling" | | 13 | "She swallowed hard, blinking back" | | 14 | "His expression crumpled, and he" | | 15 | "he murmured, the words heavy" | | 16 | "She ran her thumb over" | | 17 | "she admitted softly" | | 18 | "She shook her head, meeting" | | 19 | "he said quietly" |
| | ratio | 0.414 | |
| 20.34% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 58 | | matches | | 0 | "Rory pulled open the door," | | 1 | "There on her doorstep stood" | | 2 | "The silver head of his" | | 3 | "Rory's heart thudded against her" | | 4 | "she said at last, her" | | 5 | "He gave her a rueful" | | 6 | "He hesitated, uncharacteristically uncertain" | | 7 | "Rory flinched at the old" | | 8 | "she corrected quietly" | | 9 | "Lucien's mismatched eyes searched her" | | 10 | "He paused, gaze dropping briefly" | | 11 | "Rory's fingers tightened on the" | | 12 | "The words hurt to say," | | 13 | "Lucien's brow furrowed." | | 14 | "He shook his head, frustration" | | 15 | "Rory hesitated, warring with herself." | | 16 | "Every instinct urged her to" | | 17 | "She could still feel the" | | 18 | "The connection between them had" | | 19 | "Lucien's shoulders slumped slightly in" |
| | ratio | 0.879 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 58 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 1 | | matches | | 0 | "Rory's heart thudded against her ribs, memories flashing through her mind — Lucien's molten amber and coal-black eyes, the sensual curve of his lips, the electr…" |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 7 | | matches | | 0 | "she said, her voice carefully neutral" | | 1 | "He paused, gaze dropping briefly" | | 2 | "He shook, frustration flashing across his refined features" | | 3 | "He shook, eyes glimmering with regret" | | 4 | "she echoed, her voice trembling slightly" | | 5 | "she said, her voice barely above a whisper" | | 6 | "She turned away, unable to bear the disappointment in his gaze" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 6 | | fancyTags | | 0 | "she corrected quietly (correct)" | | 1 | "he admitted (admit)" | | 2 | "The words hurt (hurt)" | | 3 | "he murmured (murmur)" | | 4 | "she admitted softly (admit)" | | 5 | "Lucien murmured (murmur)" |
| | dialogueSentences | 40 | | tagDensity | 0.225 | | leniency | 0.45 | | rawRatio | 0.667 | | effectiveRatio | 0.3 | |