| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 25 | | adverbTagCount | 3 | | adverbTags | | 0 | "The amber eye fixed back [back]" | | 1 | "She spun around [around]" | | 2 | "he said slowly [slowly]" |
| | dialogueSentences | 78 | | tagDensity | 0.321 | | leniency | 0.641 | | rawRatio | 0.12 | | effectiveRatio | 0.077 | |
| 93.22% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1476 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 52.57% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1476 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "weight" | | 1 | "reminder" | | 2 | "silence" | | 3 | "unreadable" | | 4 | "stomach" | | 5 | "could feel" | | 6 | "efficient" | | 7 | "echo" | | 8 | "vibrated" | | 9 | "electric" | | 10 | "echoed" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 99 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 99 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "started to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 151 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 49 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1476 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 20 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 781 | | uniqueNames | 12 | | maxNameDensity | 0.51 | | worstName | "Lucien" | | maxWindowNameDensity | 1 | | worstWindowName | "Ptolemy" | | discoveredNames | | Moreau | 1 | | Ptolemy | 3 | | Eva | 1 | | Cardiff | 1 | | Celtic | 1 | | Lucien | 4 | | Brick | 1 | | Lane | 1 | | Commercial | 1 | | Street | 1 | | Evan | 1 | | Rory | 4 |
| | persons | | 0 | "Moreau" | | 1 | "Ptolemy" | | 2 | "Eva" | | 3 | "Celtic" | | 4 | "Lucien" | | 5 | "Evan" | | 6 | "Rory" |
| | places | | 0 | "Cardiff" | | 1 | "Brick" | | 2 | "Lane" | | 3 | "Commercial" | | 4 | "Street" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.033 | | wordCount | 1476 | | matches | | 0 | "Not supernatural fast, but the controlled, efficient motion of someone who knew how to" | | 1 | "not to touch her, but to brace against the window frame beside her head, caging he" | | 2 | "not a thing to be collected,\" she said, but her grip on his sleeve didn't loosen" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 151 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 74 | | mean | 19.95 | | std | 16.56 | | cv | 0.83 | | sampleLengths | | 0 | 21 | | 1 | 42 | | 2 | 1 | | 3 | 9 | | 4 | 11 | | 5 | 21 | | 6 | 25 | | 7 | 3 | | 8 | 23 | | 9 | 11 | | 10 | 2 | | 11 | 31 | | 12 | 2 | | 13 | 2 | | 14 | 31 | | 15 | 43 | | 16 | 34 | | 17 | 2 | | 18 | 17 | | 19 | 3 | | 20 | 26 | | 21 | 14 | | 22 | 40 | | 23 | 11 | | 24 | 45 | | 25 | 29 | | 26 | 37 | | 27 | 6 | | 28 | 24 | | 29 | 22 | | 30 | 7 | | 31 | 16 | | 32 | 32 | | 33 | 11 | | 34 | 57 | | 35 | 49 | | 36 | 95 | | 37 | 26 | | 38 | 27 | | 39 | 46 | | 40 | 8 | | 41 | 22 | | 42 | 16 | | 43 | 11 | | 44 | 36 | | 45 | 2 | | 46 | 20 | | 47 | 1 | | 48 | 10 | | 49 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 99 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 142 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 151 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 783 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, book-stuffed room." |
| | adverbCount | 22 | | adverbRatio | 0.0280970625798212 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.007662835249042145 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 151 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 151 | | mean | 9.77 | | std | 7.74 | | cv | 0.792 | | sampleLengths | | 0 | 10 | | 1 | 11 | | 2 | 5 | | 3 | 12 | | 4 | 6 | | 5 | 19 | | 6 | 1 | | 7 | 5 | | 8 | 4 | | 9 | 11 | | 10 | 10 | | 11 | 11 | | 12 | 24 | | 13 | 1 | | 14 | 3 | | 15 | 15 | | 16 | 8 | | 17 | 7 | | 18 | 4 | | 19 | 2 | | 20 | 27 | | 21 | 4 | | 22 | 2 | | 23 | 2 | | 24 | 7 | | 25 | 4 | | 26 | 20 | | 27 | 4 | | 28 | 15 | | 29 | 5 | | 30 | 6 | | 31 | 8 | | 32 | 5 | | 33 | 9 | | 34 | 12 | | 35 | 13 | | 36 | 2 | | 37 | 12 | | 38 | 5 | | 39 | 3 | | 40 | 5 | | 41 | 8 | | 42 | 13 | | 43 | 7 | | 44 | 7 | | 45 | 22 | | 46 | 5 | | 47 | 13 | | 48 | 7 | | 49 | 4 |
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| 63.36% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.40397350993377484 | | totalSentences | 151 | | uniqueOpeners | 61 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 92 | | matches | | 0 | "Then the sound of the" | | 1 | "Bright blue eyes locked on" | | 2 | "Then three heavy knocks shook" |
| | ratio | 0.033 | |
| 46.09% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 92 | | matches | | 0 | "He leaned on his ivory-handled" | | 1 | "Her voice stayed flat" | | 2 | "She didn't move to unchained" | | 3 | "His gaze drifted past her" | | 4 | "She threw his words back," | | 5 | "He shifted his weight, a" | | 6 | "She slammed the door shut." | | 7 | "She opened the door wide." | | 8 | "He stepped inside, his presence" | | 9 | "He didn't bother to remove" | | 10 | "His fingers brushed the spine" | | 11 | "Her voice sounded distant" | | 12 | "He took a step closer" | | 13 | "She pushed off the counter," | | 14 | "Her reflection looked pale." | | 15 | "His tone held no judgement," | | 16 | "She could feel him behind" | | 17 | "She spun around" | | 18 | "His jaw tightened." | | 19 | "She gestured, frustrated" |
| | ratio | 0.435 | |
| 30.65% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 79 | | totalSentences | 92 | | matches | | 0 | "The third deadbolt gave a" | | 1 | "Rory pulled the door open" | | 2 | "Lucien Moreau filled the gap." | | 3 | "He leaned on his ivory-handled" | | 4 | "The scent of expensive cologne" | | 5 | "Her voice stayed flat" | | 6 | "She didn't move to unchained" | | 7 | "Ptolemy the tabby wound between" | | 8 | "His gaze drifted past her" | | 9 | "The amber eye fixed back" | | 10 | "The chain felt cold against" | | 11 | "She threw his words back," | | 12 | "He shifted his weight, a" | | 13 | "The cane didn't wobble." | | 14 | "Rory stared at him." | | 15 | "The small crescent scar on" | | 16 | "She slammed the door shut." | | 17 | "She opened the door wide." | | 18 | "He stepped inside, his presence" | | 19 | "He didn't bother to remove" |
| | ratio | 0.859 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 92 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 1 | | matches | | 0 | "Not supernatural fast, but the controlled, efficient motion of someone who knew how to use his body." |
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| 65.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 25 | | uselessAdditionCount | 3 | | matches | | 0 | "She threw, her Cardiff accent sharpening the edges" | | 1 | "he said, his voice low," | | 2 | "he murmured, his voice barely a breath" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 3 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "A man's voice slurred (slur)" | | 2 | "he murmured (murmur)" |
| | dialogueSentences | 78 | | tagDensity | 0.09 | | leniency | 0.179 | | rawRatio | 0.429 | | effectiveRatio | 0.077 | |