| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said instead [instead]" |
| | dialogueSentences | 73 | | tagDensity | 0.192 | | leniency | 0.384 | | rawRatio | 0.071 | | effectiveRatio | 0.027 | |
| 76.56% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1280 | | totalAiIsmAdverbs | 6 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "slowly" | | 1 | "really" | | 2 | "carefully" | | 3 | "slightly" | | 4 | "sharply" | | 5 | "barely above a whisper" |
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| 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) | |
| 60.94% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1280 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "flickered" | | 1 | "standard" | | 2 | "scanned" | | 3 | "calculating" | | 4 | "silence" | | 5 | "measured" | | 6 | "pulse" | | 7 | "wavered" | | 8 | "whisper" |
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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 | 116 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 116 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 170 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 6 | | markdownWords | 8 | | totalWords | 1271 | | ratio | 0.006 | | matches | | 0 | "The Raven’s Nest" | | 1 | "JASON" | | 2 | "that" | | 3 | "me" | | 4 | "touched" | | 5 | "clink" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 908 | | uniqueNames | 3 | | maxNameDensity | 1.32 | | worstName | "Silas" | | maxWindowNameDensity | 3 | | worstWindowName | "Silas" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 0.839 | | windowScore | 0.667 | |
| 74.24% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a punch to the gut" | | 1 | "quite a laugh" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1271 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 170 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 85 | | mean | 14.95 | | std | 13.03 | | cv | 0.872 | | sampleLengths | | 0 | 64 | | 1 | 84 | | 2 | 36 | | 3 | 31 | | 4 | 7 | | 5 | 21 | | 6 | 4 | | 7 | 14 | | 8 | 5 | | 9 | 17 | | 10 | 16 | | 11 | 25 | | 12 | 29 | | 13 | 22 | | 14 | 14 | | 15 | 1 | | 16 | 2 | | 17 | 9 | | 18 | 21 | | 19 | 30 | | 20 | 8 | | 21 | 12 | | 22 | 14 | | 23 | 1 | | 24 | 48 | | 25 | 10 | | 26 | 14 | | 27 | 14 | | 28 | 6 | | 29 | 8 | | 30 | 7 | | 31 | 35 | | 32 | 11 | | 33 | 9 | | 34 | 6 | | 35 | 15 | | 36 | 23 | | 37 | 9 | | 38 | 4 | | 39 | 21 | | 40 | 8 | | 41 | 12 | | 42 | 20 | | 43 | 15 | | 44 | 6 | | 45 | 20 | | 46 | 7 | | 47 | 15 | | 48 | 7 | | 49 | 4 |
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| 99.21% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 116 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 181 | | matches | | |
| 25.21% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 170 | | ratio | 0.041 | | matches | | 0 | "Inside, the air smelled of aged whiskey and something older—dust, secrets, the faint metallic tang of a hundred unwashed glasses." | | 1 | "She scanned the faces—most were strangers, but then again, she’d been gone long enough that even the regulars might not recognise her." | | 2 | "But his eyes—those hazel eyes—were the same." | | 3 | "The barman—some young kid with a nametag that read *JASON*—glanced over, then busied himself polishing a glass." | | 4 | "Not since—" | | 5 | "At the old photographs pinned to the wall—faces she didn’t recognise, people who weren’t here anymore." | | 6 | "How much she’d been waiting for him to say something—anything—that would make it all go away." |
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| 91.11% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 917 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 46 | | adverbRatio | 0.05016357688113413 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.013086150490730643 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 170 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 170 | | mean | 7.48 | | std | 5.15 | | cv | 0.689 | | sampleLengths | | 0 | 23 | | 1 | 20 | | 2 | 21 | | 3 | 7 | | 4 | 17 | | 5 | 22 | | 6 | 15 | | 7 | 23 | | 8 | 3 | | 9 | 18 | | 10 | 7 | | 11 | 1 | | 12 | 1 | | 13 | 6 | | 14 | 2 | | 15 | 4 | | 16 | 6 | | 17 | 19 | | 18 | 7 | | 19 | 14 | | 20 | 7 | | 21 | 4 | | 22 | 9 | | 23 | 5 | | 24 | 5 | | 25 | 7 | | 26 | 10 | | 27 | 7 | | 28 | 9 | | 29 | 5 | | 30 | 6 | | 31 | 10 | | 32 | 4 | | 33 | 17 | | 34 | 3 | | 35 | 9 | | 36 | 3 | | 37 | 16 | | 38 | 3 | | 39 | 6 | | 40 | 8 | | 41 | 1 | | 42 | 2 | | 43 | 5 | | 44 | 4 | | 45 | 14 | | 46 | 7 | | 47 | 9 | | 48 | 9 | | 49 | 4 |
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| 47.65% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.2411764705882353 | | totalSentences | 170 | | uniqueOpeners | 41 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 107 | | matches | (empty) | | ratio | 0 | |
| 21.87% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 53 | | totalSentences | 107 | | matches | | 0 | "She scanned the faces—most were" | | 1 | "He was older." | | 2 | "His hair had thinned, streaked" | | 3 | "She could walk past." | | 4 | "She could pretend she hadn’t" | | 5 | "She slid onto the stool" | | 6 | "She laughed, but it came" | | 7 | "His lips quirked, just for" | | 8 | "She should’ve left it there." | | 9 | "She grabbed her water bottle" | | 10 | "His voice was low, amused" | | 11 | "She shot him a look." | | 12 | "He took a slow sip" | | 13 | "She hadn’t let anyone call" | | 14 | "she said, voice steady" | | 15 | "He studied her for a" | | 16 | "She exhaled through her nose," | | 17 | "She should’ve walked away then." | | 18 | "she said instead" | | 19 | "His smile was faint, almost" |
| | ratio | 0.495 | |
| 34.77% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 91 | | totalSentences | 107 | | matches | | 0 | "The green neon sign of" | | 1 | "Rory paused on the threshold," | | 2 | "The bar was quieter than" | | 3 | "She scanned the faces—most were" | | 4 | "The back corner was empty," | | 5 | "The only occupied stool faced" | | 6 | "He was older." | | 7 | "His hair had thinned, streaked" | | 8 | "The same way they’d always" | | 9 | "She could walk past." | | 10 | "She could pretend she hadn’t" | | 11 | "She slid onto the stool" | | 12 | "Silence stretched between them, thick" | | 13 | "The man exhaled first, slow" | | 14 | "Rory’s fingers twitched around the" | | 15 | "She laughed, but it came" | | 16 | "His lips quirked, just for" | | 17 | "She should’ve left it there." | | 18 | "The barman—some young kid with" | | 19 | "Silas didn’t flinch." |
| | ratio | 0.85 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 107 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 1 | | matches | | 0 | "The barman—some young kid with a nametag that read *JASON*—glanced over, then busied himself polishing a glass." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 8 | | matches | | 0 | "she said, voice steady" | | 1 | "she asked, voice flat" | | 2 | "she said, voice tight" | | 3 | "she said, voice low" | | 4 | "she said, but her voice wavered" | | 5 | "he said, voice firm" | | 6 | "she said, voice flat" | | 7 | "she asked, voice barely above a whisper" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 73 | | tagDensity | 0.123 | | leniency | 0.247 | | rawRatio | 0 | | effectiveRatio | 0 | |