| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 58 | | tagDensity | 0.172 | | leniency | 0.345 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.02% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 836 | | totalAiIsmAdverbs | 1 | | 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) | |
| 58.13% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 836 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "silence" | | 1 | "predator" | | 2 | "pulse" | | 3 | "flickered" | | 4 | "unsettled" | | 5 | "electric" |
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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 | 0 | | narrationSentences | 79 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 79 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 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 | 21 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 826 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 567 | | uniqueNames | 9 | | maxNameDensity | 0.88 | | worstName | "Ptolemy" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Eva" | | discoveredNames | | Ptolemy | 5 | | French | 1 | | Moreau | 2 | | Rory | 4 | | Eva | 4 | | Lucien | 5 | | St | 1 | | Brick | 1 | | Lane | 1 |
| | persons | | 0 | "Ptolemy" | | 1 | "Moreau" | | 2 | "Rory" | | 3 | "Eva" | | 4 | "Lucien" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 39 | | 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 | 826 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 127 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 71 | | mean | 11.63 | | std | 8.48 | | cv | 0.729 | | sampleLengths | | 0 | 35 | | 1 | 16 | | 2 | 3 | | 3 | 2 | | 4 | 4 | | 5 | 16 | | 6 | 12 | | 7 | 17 | | 8 | 40 | | 9 | 5 | | 10 | 16 | | 11 | 27 | | 12 | 22 | | 13 | 1 | | 14 | 5 | | 15 | 8 | | 16 | 6 | | 17 | 14 | | 18 | 6 | | 19 | 28 | | 20 | 3 | | 21 | 4 | | 22 | 9 | | 23 | 24 | | 24 | 13 | | 25 | 15 | | 26 | 12 | | 27 | 6 | | 28 | 22 | | 29 | 17 | | 30 | 7 | | 31 | 18 | | 32 | 5 | | 33 | 16 | | 34 | 12 | | 35 | 7 | | 36 | 18 | | 37 | 18 | | 38 | 1 | | 39 | 2 | | 40 | 4 | | 41 | 12 | | 42 | 6 | | 43 | 13 | | 44 | 18 | | 45 | 10 | | 46 | 17 | | 47 | 6 | | 48 | 20 | | 49 | 7 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 79 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 115 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 127 | | ratio | 0.071 | | matches | | 0 | "The knock came at midnight—three sharp raps that startled Ptolemy off the windowsill." | | 1 | "Then—" | | 2 | "His gaze swept the cluttered flat—Eva’s grimoires stacked beside takeout containers, Ptolemy lurking under the desk." | | 3 | "He smiled—the real one, the rare one that softened the sharp lines of his face." | | 4 | "\"—hidden in the vaults beneath St. Paul’s. I need someone who can get past the wards.\"" | | 5 | "Something flickered in his expression—there and gone." | | 6 | "Rory watched the motion, the way his hands moved—precise, controlled." | | 7 | "He laughed, low and rich, and for a moment it was like before—easy, electric." | | 8 | "But she listened—the click of his cane on the floorboards, the sigh of the door closing, the silence that followed." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 415 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.03614457831325301 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.007228915662650603 | |
| 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 | 6.5 | | std | 4.38 | | cv | 0.674 | | sampleLengths | | 0 | 13 | | 1 | 11 | | 2 | 5 | | 3 | 3 | | 4 | 3 | | 5 | 12 | | 6 | 4 | | 7 | 3 | | 8 | 1 | | 9 | 1 | | 10 | 4 | | 11 | 2 | | 12 | 4 | | 13 | 10 | | 14 | 12 | | 15 | 7 | | 16 | 10 | | 17 | 9 | | 18 | 16 | | 19 | 15 | | 20 | 5 | | 21 | 4 | | 22 | 12 | | 23 | 6 | | 24 | 18 | | 25 | 3 | | 26 | 6 | | 27 | 16 | | 28 | 1 | | 29 | 5 | | 30 | 7 | | 31 | 1 | | 32 | 6 | | 33 | 10 | | 34 | 4 | | 35 | 2 | | 36 | 4 | | 37 | 15 | | 38 | 9 | | 39 | 4 | | 40 | 3 | | 41 | 4 | | 42 | 3 | | 43 | 6 | | 44 | 19 | | 45 | 5 | | 46 | 6 | | 47 | 7 | | 48 | 11 | | 49 | 4 |
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| 66.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4330708661417323 | | totalSentences | 127 | | uniqueOpeners | 55 | |
| 49.75% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 67 | | matches | | 0 | "Then the moment passed." |
| | ratio | 0.015 | |
| 22.99% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 67 | | matches | | 0 | "She set the mug down," | | 1 | "Her fingers twitched toward the" | | 2 | "She flipped the locks open," | | 3 | "He stepped forward without waiting" | | 4 | "She stepped back." | | 5 | "His gaze swept the cluttered" | | 6 | "He turned that mismatched stare" | | 7 | "He tapped his cane once" | | 8 | "She’d just blocked his." | | 9 | "He moved then, slow but" | | 10 | "His fingers trailed along the" | | 11 | "Her jaw tightened." | | 12 | "He stopped in front of" | | 13 | "She didn’t step back this" | | 14 | "His free hand lifted, hesitated" | | 15 | "She barked a laugh." | | 16 | "He smiled—the real one, the" | | 17 | "She stared at him." | | 18 | "Her pulse jumped despite herself." | | 19 | "He knew how she loved" |
| | ratio | 0.493 | |
| 19.70% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 67 | | matches | | 0 | "The knock came at midnight—three" | | 1 | "Rory froze mid-sip, tea sloshing" | | 2 | "Eva’s flat didn’t get visitors." | | 3 | "She set the mug down," | | 4 | "The knock came again." | | 5 | "Her fingers twitched toward the" | | 6 | "A dry chuckle filtered through" | | 7 | "She flipped the locks open," | | 8 | "Lucien Moreau stood framed in" | | 9 | "The amber and black of" | | 10 | "Rory crossed her arms." | | 11 | "The corner of his mouth" | | 12 | "He stepped forward without waiting" | | 13 | "She stepped back." | | 14 | "The door clicked shut behind" | | 15 | "His gaze swept the cluttered" | | 16 | "He turned that mismatched stare" | | 17 | "He tapped his cane once" | | 18 | "She’d just blocked his." | | 19 | "He moved then, slow but" |
| | ratio | 0.881 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 18 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 58 | | tagDensity | 0.052 | | leniency | 0.103 | | rawRatio | 0.333 | | effectiveRatio | 0.034 | |