| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 1 | | adverbTags | | 0 | "Daniel said finally [finally]" |
| | dialogueSentences | 39 | | tagDensity | 0.487 | | leniency | 0.974 | | rawRatio | 0.053 | | effectiveRatio | 0.051 | |
| 95.12% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1025 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 75.61% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1025 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "comfortable" | | 1 | "grave" | | 2 | "weight" | | 3 | "trembled" |
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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 | 46 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 46 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 65 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 60 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1025 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 6.85% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 489 | | uniqueNames | 2 | | maxNameDensity | 2.86 | | worstName | "Silas" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Silas" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 0.069 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 31 | | 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 | 1025 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 65 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 36.61 | | std | 22.87 | | cv | 0.625 | | sampleLengths | | 0 | 50 | | 1 | 15 | | 2 | 14 | | 3 | 62 | | 4 | 8 | | 5 | 13 | | 6 | 54 | | 7 | 46 | | 8 | 62 | | 9 | 28 | | 10 | 10 | | 11 | 42 | | 12 | 51 | | 13 | 36 | | 14 | 12 | | 15 | 61 | | 16 | 53 | | 17 | 7 | | 18 | 20 | | 19 | 28 | | 20 | 74 | | 21 | 45 | | 22 | 5 | | 23 | 93 | | 24 | 36 | | 25 | 58 | | 26 | 29 | | 27 | 13 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 46 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 93 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 65 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 491 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 14 | | adverbRatio | 0.028513238289205704 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.008146639511201629 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 65 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 65 | | mean | 15.77 | | std | 11.41 | | cv | 0.723 | | sampleLengths | | 0 | 20 | | 1 | 7 | | 2 | 23 | | 3 | 15 | | 4 | 3 | | 5 | 9 | | 6 | 2 | | 7 | 21 | | 8 | 25 | | 9 | 6 | | 10 | 10 | | 11 | 8 | | 12 | 13 | | 13 | 11 | | 14 | 23 | | 15 | 20 | | 16 | 30 | | 17 | 16 | | 18 | 12 | | 19 | 22 | | 20 | 28 | | 21 | 9 | | 22 | 19 | | 23 | 7 | | 24 | 3 | | 25 | 26 | | 26 | 16 | | 27 | 6 | | 28 | 22 | | 29 | 23 | | 30 | 7 | | 31 | 5 | | 32 | 24 | | 33 | 8 | | 34 | 4 | | 35 | 27 | | 36 | 14 | | 37 | 20 | | 38 | 21 | | 39 | 30 | | 40 | 2 | | 41 | 7 | | 42 | 2 | | 43 | 18 | | 44 | 8 | | 45 | 20 | | 46 | 10 | | 47 | 6 | | 48 | 58 | | 49 | 20 |
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| 66.15% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.46153846153846156 | | totalSentences | 65 | | uniqueOpeners | 30 | |
| 85.47% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 39 | | matches | | 0 | "Somewhere in the back a" |
| | ratio | 0.026 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 10 | | totalSentences | 39 | | matches | | 0 | "He'd kept the lights low" | | 1 | "He'd gone soft in the" | | 2 | "They found Silas behind the" | | 3 | "He moved like a man" | | 4 | "He laid his umbrella across" | | 5 | "He grimaced at the burn" | | 6 | "It wasn't a question." | | 7 | "He looked up" | | 8 | "He lifted his glass an" | | 9 | "His hand trembled, the old" |
| | ratio | 0.256 | |
| 24.10% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 34 | | totalSentences | 39 | | matches | | 0 | "The green neon bled through" | | 1 | "He'd kept the lights low" | | 2 | "Tuesday nights brought the regulars" | | 3 | "The cloth in his hand" | | 4 | "The man stamped rain from" | | 5 | "He'd gone soft in the" | | 6 | "They found Silas behind the" | | 7 | "Daniel laughed without anything behind" | | 8 | "He moved like a man" | | 9 | "Silas set a glass down" | | 10 | "He laid his umbrella across" | | 11 | "Silas poured two fingers, slid" | | 12 | "The colour went out of" | | 13 | "Silas said it the way" | | 14 | "He grimaced at the burn" | | 15 | "The bar held its breath" | | 16 | "Rain ticked against the window." | | 17 | "It wasn't a question." | | 18 | "Daniel turned the glass in" | | 19 | "He looked up" |
| | ratio | 0.872 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 39 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 14 | | technicalSentenceCount | 3 | | matches | | 0 | "The green neon bled through the rain-streaked window, painting the bar in a sickly wash that suited Silas just fine." | | 1 | "Outside, a couple ran past under a shared coat, laughing, their voices smearing through the glass and gone." | | 2 | "Silas reached out and, after a moment that cost him something visible, laid his weathered hand over Daniel's on the bar." |
| |
| 98.68% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 1 | | matches | | 0 | "Silas said, but his hand curled tighter around his own glass" |
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| 98.72% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "Daniel laughed (laugh)" | | 1 | "Daniel pressed (press)" |
| | dialogueSentences | 39 | | tagDensity | 0.179 | | leniency | 0.359 | | rawRatio | 0.286 | | effectiveRatio | 0.103 | |