| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 1 | | adverbTags | | 0 | "Evan asked suddenly [suddenly]" |
| | dialogueSentences | 41 | | tagDensity | 0.585 | | leniency | 1 | | rawRatio | 0.042 | | effectiveRatio | 0.042 | |
| 89.42% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 945 | | totalAiIsmAdverbs | 2 | | 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) | |
| 4.76% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 945 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "navigating" | | 1 | "scanned" | | 2 | "familiar" | | 3 | "tension" | | 4 | "weight" | | 5 | "unspoken" | | 6 | "silence" | | 7 | "etched" | | 8 | "intensity" | | 9 | "tinged" | | 10 | "pang" | | 11 | "comfortable" | | 12 | "sense of" |
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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 | 59 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 59 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 76 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 938 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 51.19% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 759 | | uniqueNames | 9 | | maxNameDensity | 1.98 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Carter | 1 | | Rory | 15 | | Blackwood | 1 | | Evan | 12 | | Cardiff | 1 | | London | 1 | | Silas | 5 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Carter" | | 3 | "Rory" | | 4 | "Blackwood" | | 5 | "Evan" | | 6 | "Silas" |
| | places | | | globalScore | 0.512 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | glossingSentenceCount | 1 | | matches | | |
| 93.39% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.066 | | wordCount | 938 | | matches | | 0 | "not glamorous, but it pays the bills" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 76 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 26.8 | | std | 16.15 | | cv | 0.603 | | sampleLengths | | 0 | 93 | | 1 | 57 | | 2 | 15 | | 3 | 16 | | 4 | 39 | | 5 | 20 | | 6 | 50 | | 7 | 21 | | 8 | 13 | | 9 | 30 | | 10 | 12 | | 11 | 14 | | 12 | 21 | | 13 | 22 | | 14 | 33 | | 15 | 17 | | 16 | 27 | | 17 | 24 | | 18 | 9 | | 19 | 51 | | 20 | 23 | | 21 | 13 | | 22 | 16 | | 23 | 17 | | 24 | 26 | | 25 | 31 | | 26 | 18 | | 27 | 34 | | 28 | 16 | | 29 | 29 | | 30 | 12 | | 31 | 22 | | 32 | 24 | | 33 | 37 | | 34 | 36 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 59 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 134 | | matches | (empty) | |
| 67.67% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 76 | | ratio | 0.026 | | matches | | 0 | "He looked different—older, more worn." | | 1 | "The Raven's Nest had seen many stories unfold within its walls, but this one felt different—like the beginning of something new." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 765 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.02091503267973856 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.006535947712418301 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 76 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 76 | | mean | 12.34 | | std | 6.14 | | cv | 0.497 | | sampleLengths | | 0 | 30 | | 1 | 24 | | 2 | 27 | | 3 | 12 | | 4 | 19 | | 5 | 22 | | 6 | 16 | | 7 | 15 | | 8 | 12 | | 9 | 4 | | 10 | 10 | | 11 | 5 | | 12 | 24 | | 13 | 17 | | 14 | 3 | | 15 | 7 | | 16 | 11 | | 17 | 18 | | 18 | 14 | | 19 | 8 | | 20 | 13 | | 21 | 9 | | 22 | 4 | | 23 | 15 | | 24 | 15 | | 25 | 7 | | 26 | 5 | | 27 | 7 | | 28 | 7 | | 29 | 13 | | 30 | 8 | | 31 | 14 | | 32 | 8 | | 33 | 20 | | 34 | 13 | | 35 | 11 | | 36 | 6 | | 37 | 8 | | 38 | 19 | | 39 | 9 | | 40 | 15 | | 41 | 7 | | 42 | 2 | | 43 | 15 | | 44 | 23 | | 45 | 13 | | 46 | 23 | | 47 | 7 | | 48 | 6 | | 49 | 9 |
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| 59.21% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.39473684210526316 | | totalSentences | 76 | | uniqueOpeners | 30 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 59 | | matches | (empty) | | ratio | 0 | |
| 70.85% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 59 | | matches | | 0 | "Her bright blue eyes scanned" | | 1 | "She found him at the" | | 2 | "she replied, her voice steady" | | 3 | "He looked different—older, more worn." | | 4 | "His once-boyish features had hardened," | | 5 | "he said, a hint of" | | 6 | "She'd left Cardiff and the" | | 7 | "he asked, his voice smooth" | | 8 | "He nodded, understanding the unspoken" | | 9 | "she confirmed, resisting the urge" | | 10 | "she asked, her curiosity getting" | | 11 | "she said, surprising herself with" | | 12 | "They fell into a silence," | | 13 | "She wondered what had brought" | | 14 | "he agreed, his voice tinged" | | 15 | "he said, his voice barely" | | 16 | "she said, choosing her words" | | 17 | "She took a deep breath," | | 18 | "she said, her voice steady" | | 19 | "They lapsed into silence again," |
| | ratio | 0.373 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 59 | | matches | | 0 | "The Raven's Nest hummed with" | | 1 | "The dim lighting cast long" | | 2 | "Aurora Carter, known to her" | | 3 | "Her bright blue eyes scanned" | | 4 | "She found him at the" | | 5 | "Silas Blackwood, the bar's owner" | | 6 | "Rory approached, her heart skipping" | | 7 | "The voice was deeper than" | | 8 | "she replied, her voice steady" | | 9 | "Evan turned to face her," | | 10 | "He looked different—older, more worn." | | 11 | "His once-boyish features had hardened," | | 12 | "he said, a hint of" | | 13 | "Rory nodded, unsure of what" | | 14 | "The last time they'd seen" | | 15 | "She'd left Cardiff and the" | | 16 | "Silas, ever perceptive, approached with" | | 17 | "he asked, his voice smooth" | | 18 | "Evan said, glancing at Rory" | | 19 | "Rory replied, her eyes meeting" |
| | ratio | 0.966 | |
| 84.75% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 59 | | matches | | 0 | "Now, standing before him, she" |
| | ratio | 0.017 | |
| 37.04% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 4 | | matches | | 0 | "Aurora Carter, known to her friends as Rory, slipped through the crowd with the ease of someone who had spent countless nights navigating the bar's labyrinthine…" | | 1 | "His once-boyish features had hardened, and there was a new tension in his posture, as if he carried an invisible weight on his shoulders." | | 2 | "Silas returned with their drinks, setting them down with a nod before retreating to the other end of the bar." | | 3 | "Rory studied him, noting the lines etched into his face, the way his hands gripped the glass as if it were a lifeline." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 8 | | matches | | 0 | "she replied, her voice steady despite the sudden rush of memories" | | 1 | "he asked, his voice smooth and unhurried" | | 2 | "she asked, her curiosity getting the better of her" | | 3 | "Evan replied, his voice softer now" | | 4 | "he said, his voice barely audible over the din" | | 5 | "she said, her voice steady" | | 6 | "Evan said, a hint of a smile returning to his lips" | | 7 | "Evan asked, his tone hopeful" |
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| 59.09% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 22 | | fancyCount | 4 | | fancyTags | | 0 | "she confirmed (confirm)" | | 1 | "Rory admitted (admit)" | | 2 | "he agreed (agree)" | | 3 | "Evan insisted (insist)" |
| | dialogueSentences | 41 | | tagDensity | 0.537 | | leniency | 1 | | rawRatio | 0.182 | | effectiveRatio | 0.182 | |