| 37.84% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 3 | | adverbTags | | 0 | "she said finally [finally]" | | 1 | "Rory asked suddenly [suddenly]" | | 2 | "he said finally [finally]" |
| | dialogueSentences | 37 | | tagDensity | 0.297 | | leniency | 0.595 | | rawRatio | 0.273 | | effectiveRatio | 0.162 | |
| 73.43% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 941 | | totalAiIsmAdverbs | 5 | | found | | 0 | | | 1 | | | 2 | | | 3 | | adverb | "barely above a whisper" | | count | 1 |
| | 4 | |
| | highlights | | 0 | "carefully" | | 1 | "slightly" | | 2 | "suddenly" | | 3 | "barely above a whisper" | | 4 | "slowly" |
| |
| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 941 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "scanning" | | 1 | "familiar" | | 2 | "flickered" | | 3 | "weight" | | 4 | "unspoken" | | 5 | "tracing" | | 6 | "eyebrow" | | 7 | "tension" | | 8 | "silence" | | 9 | "warmth" | | 10 | "comforting" | | 11 | "whisper" | | 12 | "solace" | | 13 | "tapestry" |
| |
| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "weight of words/silence" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
| | 2 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "the weight of his words" | | 1 | "hung in the air" | | 2 | "sent a jolt through" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 54 | | matches | | 0 | "a spark of determination" |
| |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 54 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 80 | | 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 | 934 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 679 | | uniqueNames | 6 | | maxNameDensity | 2.5 | | worstName | "Rory" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Rory" | | discoveredNames | | Aurora | 1 | | Rory | 17 | | Raven | 1 | | Nest | 1 | | Silas | 17 | | London | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Rory" | | 2 | "Raven" | | 3 | "Silas" |
| | places | | | globalScore | 0.248 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | 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 | 934 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 80 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 25.24 | | std | 13.37 | | cv | 0.53 | | sampleLengths | | 0 | 65 | | 1 | 60 | | 2 | 21 | | 3 | 24 | | 4 | 60 | | 5 | 22 | | 6 | 19 | | 7 | 32 | | 8 | 31 | | 9 | 26 | | 10 | 23 | | 11 | 21 | | 12 | 24 | | 13 | 11 | | 14 | 18 | | 15 | 20 | | 16 | 14 | | 17 | 21 | | 18 | 18 | | 19 | 13 | | 20 | 40 | | 21 | 9 | | 22 | 24 | | 23 | 16 | | 24 | 14 | | 25 | 39 | | 26 | 14 | | 27 | 27 | | 28 | 12 | | 29 | 21 | | 30 | 18 | | 31 | 23 | | 32 | 27 | | 33 | 10 | | 34 | 37 | | 35 | 38 | | 36 | 22 |
| |
| 98.77% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 54 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 110 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 80 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 684 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 21 | | adverbRatio | 0.03070175438596491 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.017543859649122806 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 80 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 80 | | mean | 11.68 | | std | 5.56 | | cv | 0.476 | | sampleLengths | | 0 | 18 | | 1 | 17 | | 2 | 30 | | 3 | 27 | | 4 | 15 | | 5 | 18 | | 6 | 13 | | 7 | 8 | | 8 | 15 | | 9 | 9 | | 10 | 11 | | 11 | 15 | | 12 | 13 | | 13 | 21 | | 14 | 6 | | 15 | 16 | | 16 | 13 | | 17 | 6 | | 18 | 14 | | 19 | 18 | | 20 | 22 | | 21 | 9 | | 22 | 11 | | 23 | 15 | | 24 | 11 | | 25 | 12 | | 26 | 12 | | 27 | 9 | | 28 | 11 | | 29 | 8 | | 30 | 5 | | 31 | 7 | | 32 | 4 | | 33 | 10 | | 34 | 8 | | 35 | 9 | | 36 | 11 | | 37 | 6 | | 38 | 8 | | 39 | 6 | | 40 | 15 | | 41 | 11 | | 42 | 7 | | 43 | 9 | | 44 | 4 | | 45 | 18 | | 46 | 9 | | 47 | 13 | | 48 | 5 | | 49 | 4 |
| |
| 64.58% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.3875 | | totalSentences | 80 | | uniqueOpeners | 31 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 54 | | matches | | 0 | "She turned, her bright blue" | | 1 | "He was tall, with a" | | 2 | "His hazel eyes, sharp and" | | 3 | "she replied, a smile tugging" | | 4 | "she admitted, glancing around the" | | 5 | "he ordered, his voice carrying" | | 6 | "she said, choosing her words" | | 7 | "she said finally" | | 8 | "she said, her voice steady" | | 9 | "They sat in companionable silence," | | 10 | "he said finally" | | 11 | "she said, her voice firm" | | 12 | "They sat together, the weight" |
| | ratio | 0.241 | |
| 15.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 48 | | totalSentences | 54 | | matches | | 0 | "The voice cut through the" | | 1 | "Aurora, known to most as" | | 2 | "She turned, her bright blue" | | 3 | "The man who had spoken" | | 4 | "He was tall, with a" | | 5 | "His hazel eyes, sharp and" | | 6 | "she replied, a smile tugging" | | 7 | "Silas gestured to the empty" | | 8 | "Rory hesitated, the weight of" | | 9 | "she admitted, glancing around the" | | 10 | "The walls were covered with" | | 11 | "Silas chuckled, a low, rumbling" | | 12 | "Rory nodded, her fingers tracing" | | 13 | "Silas signaled to the bartender," | | 14 | "he ordered, his voice carrying" | | 15 | "she said, choosing her words" | | 16 | "Silas raised an eyebrow, a" | | 17 | "Rory laughed, a sound that" | | 18 | "Silas took a sip of" | | 19 | "Rory hesitated, the memories of" |
| | ratio | 0.889 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 3 | | matches | | 0 | "The man who had spoken stood at the far end of the bar, his silhouette framed by the distinctive green neon sign that flickered above the entrance." | | 1 | "His hazel eyes, sharp and assessing, locked onto hers with a familiarity that sent a jolt through her." | | 2 | "The walls were covered with old maps and black-and-white photographs, relics of a world that seemed both distant and intimately familiar." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 5 | | matches | | 0 | "she replied, a smile tugging at the corners of her lips" | | 1 | "Rory admitted, a hint of defiance in her voice" | | 2 | "she said, her voice steady despite the turmoil within" | | 3 | "Rory asked suddenly, her voice barely above a whisper" | | 4 | "she said, her voice firm" |
| |
| 68.92% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 3 | | fancyTags | | 0 | "she admitted (admit)" | | 1 | "he ordered (order)" | | 2 | "Rory admitted (admit)" |
| | dialogueSentences | 37 | | tagDensity | 0.27 | | leniency | 0.541 | | rawRatio | 0.3 | | effectiveRatio | 0.162 | |