| 70.13% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 28 | | adverbTagCount | 5 | | adverbTags | | 0 | "he said simply [simply]" | | 1 | "Eva said coolly [coolly]" | | 2 | "he said quietly [quietly]" | | 3 | "She laughed again [again]" | | 4 | "he said softly [softly]" |
| | dialogueSentences | 77 | | tagDensity | 0.364 | | leniency | 0.727 | | rawRatio | 0.179 | | effectiveRatio | 0.13 | |
| 77.66% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1119 | | totalAiIsmAdverbs | 5 | | found | | 0 | | | 1 | | | 2 | | | 3 | | adverb | "barely above a whisper" | | count | 1 |
|
| | highlights | | 0 | "softly" | | 1 | "coolly" | | 2 | "slightly" | | 3 | "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) | |
| 32.98% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1119 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "stomach" | | 1 | "footsteps" | | 2 | "flicked" | | 3 | "unreadable" | | 4 | "tension" | | 5 | "firmly" | | 6 | "eyebrow" | | 7 | "whisper" | | 8 | "jaw clenched" | | 9 | "implication" | | 10 | "unspoken" | | 11 | "pounding" | | 12 | "sense of" | | 13 | "familiar" | | 14 | "weight" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
| | 1 | | label | "jaw/fists clenched" | | count | 1 |
|
| | highlights | | 0 | "blood ran cold" | | 1 | "jaw clenched" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 82 | | matches | | 0 | "g with anger" | | 1 | "d with frustration" |
| |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 82 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 127 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1125 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 77.92% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 763 | | uniqueNames | 5 | | maxNameDensity | 1.44 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 10 | | Ptolemy | 3 | | Rory | 11 | | Lucien | 6 | | Moreau | 1 |
| | persons | | 0 | "Eva" | | 1 | "Rory" | | 2 | "Lucien" | | 3 | "Moreau" |
| | places | (empty) | | globalScore | 0.779 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | 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 | 1125 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 127 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 57 | | mean | 19.74 | | std | 13.13 | | cv | 0.665 | | sampleLengths | | 0 | 36 | | 1 | 19 | | 2 | 17 | | 3 | 8 | | 4 | 76 | | 5 | 16 | | 6 | 10 | | 7 | 9 | | 8 | 24 | | 9 | 38 | | 10 | 15 | | 11 | 9 | | 12 | 5 | | 13 | 41 | | 14 | 29 | | 15 | 20 | | 16 | 15 | | 17 | 18 | | 18 | 21 | | 19 | 21 | | 20 | 7 | | 21 | 8 | | 22 | 37 | | 23 | 22 | | 24 | 13 | | 25 | 7 | | 26 | 15 | | 27 | 17 | | 28 | 26 | | 29 | 9 | | 30 | 27 | | 31 | 16 | | 32 | 32 | | 33 | 17 | | 34 | 8 | | 35 | 22 | | 36 | 4 | | 37 | 29 | | 38 | 22 | | 39 | 12 | | 40 | 18 | | 41 | 26 | | 42 | 24 | | 43 | 10 | | 44 | 8 | | 45 | 19 | | 46 | 17 | | 47 | 13 | | 48 | 11 | | 49 | 13 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 82 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 148 | | matches | | |
| 7.87% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 127 | | ratio | 0.047 | | matches | | 0 | "The knock came three times — sharp, deliberate." | | 1 | "Through the peephole, she saw him — Lucien Moreau, standing in the dim hallway, one hand braced on his ivory-handled cane." | | 2 | "Those heterochromatic eyes — one amber, one black — stared straight ahead, as if he could sense her watching." | | 3 | "His expression was unreadable, but there was something in the way he held himself — a tension she hadn’t seen before." | | 4 | "She laughed — a sharp, bitter sound." | | 5 | "She stared at him, searching his face for something — anything — that might make sense of the last few months." |
| |
| 93.17% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 757 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 31 | | adverbRatio | 0.04095112285336856 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.011889035667107 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 127 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 127 | | mean | 8.86 | | std | 5.25 | | cv | 0.592 | | sampleLengths | | 0 | 8 | | 1 | 12 | | 2 | 16 | | 3 | 19 | | 4 | 16 | | 5 | 1 | | 6 | 4 | | 7 | 4 | | 8 | 7 | | 9 | 3 | | 10 | 12 | | 11 | 21 | | 12 | 14 | | 13 | 19 | | 14 | 8 | | 15 | 8 | | 16 | 10 | | 17 | 6 | | 18 | 3 | | 19 | 19 | | 20 | 5 | | 21 | 13 | | 22 | 21 | | 23 | 4 | | 24 | 7 | | 25 | 8 | | 26 | 5 | | 27 | 4 | | 28 | 5 | | 29 | 9 | | 30 | 17 | | 31 | 15 | | 32 | 5 | | 33 | 15 | | 34 | 7 | | 35 | 2 | | 36 | 11 | | 37 | 9 | | 38 | 9 | | 39 | 6 | | 40 | 14 | | 41 | 4 | | 42 | 12 | | 43 | 9 | | 44 | 12 | | 45 | 9 | | 46 | 5 | | 47 | 2 | | 48 | 7 | | 49 | 1 |
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| 59.32% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3937007874015748 | | totalSentences | 127 | | uniqueOpeners | 50 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 81 | | matches | (empty) | | ratio | 0 | |
| 7.65% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 81 | | matches | | 0 | "She glanced at Ptolemy, who" | | 1 | "She moved to the door," | | 2 | "His platinum blond hair was" | | 3 | "She hesitated, her hand hovering" | | 4 | "His expression was unreadable, but" | | 5 | "Her fingers tightened on the" | | 6 | "He exhaled, his jaw tightening." | | 7 | "he said simply" | | 8 | "His free hand twitched, as" | | 9 | "He brushed past her, his" | | 10 | "His gaze swept the room," | | 11 | "His nose wrinkled slightly." | | 12 | "He turned to face her," | | 13 | "She raised an eyebrow" | | 14 | "His lips pressed into a" | | 15 | "She stood, scooping Ptolemy into" | | 16 | "Her blood ran cold." | | 17 | "Her voice was barely above" | | 18 | "His jaw clenched" | | 19 | "He trailed off, the implication" |
| | ratio | 0.531 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 77 | | totalSentences | 81 | | matches | | 0 | "The knock came three times" | | 1 | "Rory froze halfway through unstacking" | | 2 | "She glanced at Ptolemy, who" | | 3 | "Eva didn’t look up from" | | 4 | "Rory set down the container" | | 5 | "Eva shook her head." | | 6 | "The knock came again, louder" | | 7 | "Rory’s stomach tightened." | | 8 | "She moved to the door," | | 9 | "His platinum blond hair was" | | 10 | "Those heterochromatic eyes — one" | | 11 | "She hesitated, her hand hovering" | | 12 | "Eva’s voice carried a note" | | 13 | "Rory’s voice came out steadier" | | 14 | "Eva’s chair scraped against the" | | 15 | "Rory unlocked the deadbolts one" | | 16 | "Lucien’s gaze flicked to hers," | | 17 | "His expression was unreadable, but" | | 18 | "Her fingers tightened on the" | | 19 | "He exhaled, his jaw tightening." |
| | ratio | 0.951 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 81 | | matches | (empty) | | ratio | 0 | |
| 49.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 3 | | matches | | 0 | "She glanced at Ptolemy, who lifted his head from his perch on the windowsill, ears twitching." | | 1 | "Those heterochromatic eyes — one amber, one black — stared straight ahead, as if he could sense her watching." | | 2 | "She stared at him, searching his face for something — anything — that might make sense of the last few months." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 28 | | uselessAdditionCount | 7 | | matches | | 0 | "He turned, his expression serious" | | 1 | "Lucien took, his eyes searching hers" | | 2 | "He trailed, the implication hanging in the air" | | 3 | "He stopped, his chest heaving" | | 4 | "His shoulders slumped, the fight draining out of him" | | 5 | "She faced, her vision blurred" | | 6 | "She shook, tears spilling down her cheeks" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 2 | | fancyTags | | 0 | "She laughed again (laugh)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 77 | | tagDensity | 0.078 | | leniency | 0.156 | | rawRatio | 0.333 | | effectiveRatio | 0.052 | |