| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 1 | | adverbTags | | 0 | "she asked suddenly [suddenly]" |
| | dialogueSentences | 43 | | tagDensity | 0.372 | | leniency | 0.744 | | rawRatio | 0.063 | | effectiveRatio | 0.047 | |
| 90.90% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1099 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1099 | | totalAiIsms | 35 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | | | 25 | | | 26 | |
| | highlights | | 0 | "scanned" | | 1 | "familiar" | | 2 | "pang" | | 3 | "apprehension" | | 4 | "footsteps" | | 5 | "flicker" | | 6 | "weight" | | 7 | "unspoken" | | 8 | "stomach" | | 9 | "sturdy" | | 10 | "whisper" | | 11 | "tracing" | | 12 | "comfortable" | | 13 | "silence" | | 14 | "efficient" | | 15 | "intrigue" | | 16 | "tapestry" | | 17 | "eyebrow" | | 18 | "reminder" | | 19 | "tinged" | | 20 | "solace" | | 21 | "clandestine" | | 22 | "tension" | | 23 | "sanctuary" | | 24 | "warmth" | | 25 | "comforting" | | 26 | "sense of" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "flicker of emotion" | | count | 1 |
|
| | highlights | | 0 | "eyes widened" | | 1 | "a flicker of recognition" |
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| 85.94% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 3 | | narrationSentences | 64 | | matches | | 0 | "a pang of nostalgia" | | 1 | "d with apprehension" | | 2 | "d with regret" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 64 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 91 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1099 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 1 | | matches | | 0 | "As she turned to leave, Silas called after her, his voice carrying a note of hope." |
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| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 43 | | wordCount | 849 | | uniqueNames | 6 | | maxNameDensity | 2.24 | | worstName | "Silas" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 3 | | Nest | 4 | | Carter | 1 | | Rory | 15 | | Blackwood | 1 | | Silas | 19 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Carter" | | 3 | "Rory" | | 4 | "Blackwood" | | 5 | "Silas" |
| | places | (empty) | | globalScore | 0.381 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | 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 | 1099 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 91 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 26.8 | | std | 20.31 | | cv | 0.758 | | sampleLengths | | 0 | 86 | | 1 | 71 | | 2 | 38 | | 3 | 19 | | 4 | 36 | | 5 | 19 | | 6 | 23 | | 7 | 47 | | 8 | 29 | | 9 | 22 | | 10 | 19 | | 11 | 26 | | 12 | 15 | | 13 | 12 | | 14 | 15 | | 15 | 74 | | 16 | 16 | | 17 | 28 | | 18 | 42 | | 19 | 13 | | 20 | 25 | | 21 | 12 | | 22 | 24 | | 23 | 13 | | 24 | 19 | | 25 | 17 | | 26 | 13 | | 27 | 20 | | 28 | 8 | | 29 | 17 | | 30 | 13 | | 31 | 8 | | 32 | 55 | | 33 | 8 | | 34 | 8 | | 35 | 5 | | 36 | 9 | | 37 | 53 | | 38 | 21 | | 39 | 24 | | 40 | 77 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 64 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 142 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 91 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 853 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 11 | | adverbRatio | 0.012895662368112544 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.008206330597889801 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 91 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 91 | | mean | 12.08 | | std | 7.16 | | cv | 0.593 | | sampleLengths | | 0 | 20 | | 1 | 20 | | 2 | 24 | | 3 | 22 | | 4 | 24 | | 5 | 30 | | 6 | 17 | | 7 | 12 | | 8 | 13 | | 9 | 13 | | 10 | 15 | | 11 | 4 | | 12 | 29 | | 13 | 7 | | 14 | 6 | | 15 | 13 | | 16 | 9 | | 17 | 14 | | 18 | 14 | | 19 | 18 | | 20 | 15 | | 21 | 14 | | 22 | 15 | | 23 | 13 | | 24 | 9 | | 25 | 13 | | 26 | 6 | | 27 | 16 | | 28 | 4 | | 29 | 6 | | 30 | 9 | | 31 | 6 | | 32 | 6 | | 33 | 6 | | 34 | 8 | | 35 | 7 | | 36 | 14 | | 37 | 18 | | 38 | 18 | | 39 | 12 | | 40 | 12 | | 41 | 16 | | 42 | 8 | | 43 | 3 | | 44 | 17 | | 45 | 5 | | 46 | 8 | | 47 | 16 | | 48 | 13 | | 49 | 7 |
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| 63.74% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.3956043956043956 | | totalSentences | 91 | | uniqueOpeners | 36 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 78.06% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 62 | | matches | | 0 | "Her bright blue eyes settled" | | 1 | "His grey-streaked auburn hair and" | | 2 | "She approached the bar, her" | | 3 | "he said, his voice carrying" | | 4 | "she replied, a smile tugging" | | 5 | "he agreed, setting the glass" | | 6 | "She nodded, her gaze drifting" | | 7 | "she said, her voice soft," | | 8 | "She hesitated, the question opening" | | 9 | "They fell into a comfortable" | | 10 | "She remembered the stories he" | | 11 | "He had been larger than" | | 12 | "she asked suddenly, the question" | | 13 | "She had her own ghosts," | | 14 | "she said, the confession hanging" | | 15 | "She met his eyes, finding" | | 16 | "They fell into another silence," | | 17 | "she said, her voice steady" | | 18 | "he asked, his hazel eyes" | | 19 | "She knew the road ahead" |
| | ratio | 0.355 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 62 | | matches | | 0 | "The Raven's Nest hummed with" | | 1 | "The green neon sign outside" | | 2 | "Aurora Carter, known to her" | | 3 | "Her bright blue eyes settled" | | 4 | "Silas Blackwood, the man who" | | 5 | "His grey-streaked auburn hair and" | | 6 | "Rory hesitated, the small crescent-shaped" | | 7 | "She approached the bar, her" | | 8 | "Silas looked up, his hazel" | | 9 | "he said, his voice carrying" | | 10 | "she replied, a smile tugging" | | 11 | "he agreed, setting the glass" | | 12 | "Rory shrugged, trying to appear" | | 13 | "Silas chuckled, a sound like" | | 14 | "She nodded, her gaze drifting" | | 15 | "Each image seemed to whisper" | | 16 | "she said, her voice soft," | | 17 | "Silas replied, his eyes twinkling" | | 18 | "Rory leaned against the bar," | | 19 | "Silas said, his tone shifting" |
| | ratio | 0.935 | |
| 80.65% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 62 | | matches | | 0 | "Now, he was simply Silas," |
| | ratio | 0.016 | |
| 96.77% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 2 | | matches | | 0 | "Silas Blackwood, the man who had once been a shadow in the world of espionage, now stood as the solid presence behind the bar." | | 1 | "With a final glance at the man who had once been a spymaster and was now simply a friend, Rory stepped out into the night, the green glow of the neon sign casti…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 8 | | matches | | 0 | "he said, his voice carrying the weight of years and unspoken stories" | | 1 | "she said, her voice soft, almost lost in the ambient noise" | | 2 | "Silas replied, his eyes twinkling with a secret amusement" | | 3 | "Silas said, his tone shifting to something more serious" | | 4 | "she asked suddenly, the question slipping out before she could stop it" | | 5 | "she said, the confession hanging in the air between them" | | 6 | "Silas said, his tone sincere" | | 7 | "she said, her voice steady" |
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| 33.72% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 16 | | fancyCount | 5 | | fancyTags | | 0 | "he agreed (agree)" | | 1 | "she admitted (admit)" | | 2 | "he admitted (admit)" | | 3 | "Rory repeated (repeat)" | | 4 | "she promised (promise)" |
| | dialogueSentences | 43 | | tagDensity | 0.372 | | leniency | 0.744 | | rawRatio | 0.313 | | effectiveRatio | 0.233 | |