| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 3 | | adverbTags | | 0 | "He leaned back [back]" | | 1 | "His tone carried just [just]" | | 2 | "He glanced around [around]" |
| | dialogueSentences | 71 | | tagDensity | 0.197 | | leniency | 0.394 | | rawRatio | 0.214 | | effectiveRatio | 0.085 | |
| 86.70% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1880 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slowly" | | 1 | "very" | | 2 | "perfectly" | | 3 | "utterly" |
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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) | |
| 30.85% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1880 | | totalAiIsms | 26 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "shattered" | | 1 | "streaming" | | 2 | "silence" | | 3 | "flickered" | | 4 | "scanned" | | 5 | "methodical" | | 6 | "mechanical" | | 7 | "tracing" | | 8 | "stomach" | | 9 | "anticipation" | | 10 | "intensity" | | 11 | "complex" | | 12 | "affection" | | 13 | "familiar" | | 14 | "weight" | | 15 | "charm" | | 16 | "potential" | | 17 | "traced" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 89 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 89 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 145 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1873 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 1253 | | uniqueNames | 13 | | maxNameDensity | 0.96 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Silas" | | discoveredNames | | Blackwood | 2 | | Raven | 2 | | Nest | 2 | | Carter | 1 | | Silas | 12 | | Caldwell | 1 | | London | 3 | | Golden | 2 | | Empress | 2 | | Pride | 1 | | Evan | 8 | | Rory | 3 | | Three | 5 |
| | persons | | 0 | "Blackwood" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Carter" | | 4 | "Silas" | | 5 | "Caldwell" | | 6 | "Pride" | | 7 | "Evan" | | 8 | "Rory" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 81.51% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 73 | | glossingSentenceCount | 2 | | matches | | 0 | "as if commenting on the evening's entertainment" | | 1 | "felt like peace" |
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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 | 1873 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 145 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 99 | | mean | 18.92 | | std | 14.73 | | cv | 0.779 | | sampleLengths | | 0 | 21 | | 1 | 36 | | 2 | 56 | | 3 | 43 | | 4 | 2 | | 5 | 23 | | 6 | 40 | | 7 | 2 | | 8 | 50 | | 9 | 2 | | 10 | 49 | | 11 | 11 | | 12 | 8 | | 13 | 33 | | 14 | 5 | | 15 | 35 | | 16 | 20 | | 17 | 5 | | 18 | 21 | | 19 | 38 | | 20 | 13 | | 21 | 4 | | 22 | 12 | | 23 | 28 | | 24 | 22 | | 25 | 16 | | 26 | 37 | | 27 | 2 | | 28 | 45 | | 29 | 26 | | 30 | 21 | | 31 | 4 | | 32 | 33 | | 33 | 46 | | 34 | 4 | | 35 | 8 | | 36 | 23 | | 37 | 3 | | 38 | 32 | | 39 | 11 | | 40 | 3 | | 41 | 20 | | 42 | 2 | | 43 | 17 | | 44 | 8 | | 45 | 5 | | 46 | 27 | | 47 | 24 | | 48 | 4 | | 49 | 10 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 89 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 204 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 145 | | ratio | 0 | | matches | (empty) | |
| 87.23% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1257 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 60 | | adverbRatio | 0.0477326968973747 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.011137629276054098 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 145 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 145 | | mean | 12.92 | | std | 8.57 | | cv | 0.664 | | sampleLengths | | 0 | 21 | | 1 | 11 | | 2 | 18 | | 3 | 7 | | 4 | 19 | | 5 | 23 | | 6 | 14 | | 7 | 20 | | 8 | 23 | | 9 | 2 | | 10 | 13 | | 11 | 10 | | 12 | 4 | | 13 | 17 | | 14 | 19 | | 15 | 2 | | 16 | 28 | | 17 | 22 | | 18 | 2 | | 19 | 20 | | 20 | 2 | | 21 | 18 | | 22 | 9 | | 23 | 11 | | 24 | 8 | | 25 | 20 | | 26 | 7 | | 27 | 6 | | 28 | 5 | | 29 | 35 | | 30 | 19 | | 31 | 1 | | 32 | 5 | | 33 | 18 | | 34 | 3 | | 35 | 17 | | 36 | 21 | | 37 | 6 | | 38 | 7 | | 39 | 4 | | 40 | 12 | | 41 | 6 | | 42 | 22 | | 43 | 22 | | 44 | 5 | | 45 | 11 | | 46 | 28 | | 47 | 9 | | 48 | 2 | | 49 | 38 |
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| 70.57% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.4482758620689655 | | totalSentences | 145 | | uniqueOpeners | 65 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 86 | | matches | | 0 | "Instead, a figure in an" | | 1 | "More practiced, like he'd perfected" | | 2 | "Instead, she stood up." | | 3 | "Then he reached for his" |
| | ratio | 0.047 | |
| 75.81% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 86 | | matches | | 0 | "His gaze swept past the" | | 1 | "He moved toward her table" | | 2 | "He slid into the chair" | | 3 | "He paused, studying her face" | | 4 | "His smile had new edges," | | 5 | "She took a sip of" | | 6 | "She'd forgotten how he used" | | 7 | "His laugh sounded different too." | | 8 | "He leaned back in his" | | 9 | "She nodded politely, the way" | | 10 | "His tone carried just enough" | | 11 | "She'd forgotten how he did" | | 12 | "She considered several answers." | | 13 | "His face cycled through expressions" | | 14 | "She gave an almost imperceptible" | | 15 | "His laugh suggested this was" | | 16 | "She watched him fidget with" | | 17 | "His hands looked softer, manicured." | | 18 | "He glanced around The Raven's" | | 19 | "His smile turned rueful, practiced" |
| | ratio | 0.36 | |
| 47.21% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 86 | | matches | | 0 | "The bottle shattered against the" | | 1 | "Silas Blackwood's voice cut through" | | 2 | "The silver signet ring on" | | 3 | "The two men who'd been" | | 4 | "Tuesday nights at The Raven's" | | 5 | "The green neon sign outside" | | 6 | "Rory Carter looked up from" | | 7 | "The old maps and black-and-white" | | 8 | "Silas dropped the glass into" | | 9 | "The door chimed again." | | 10 | "Rory glanced toward the entrance," | | 11 | "Evan Caldwell scanned the room" | | 12 | "His gaze swept past the" | | 13 | "Rory's fingers found the small" | | 14 | "Evan's second sweep caught her" | | 15 | "Recognition hit his face like" | | 16 | "He moved toward her table" | | 17 | "He slid into the chair" | | 18 | "He paused, studying her face" | | 19 | "His smile had new edges," |
| | ratio | 0.826 | |
| 58.14% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 86 | | matches | | | ratio | 0.012 | |
| 28.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 8 | | matches | | 0 | "The two men who'd been trading increasingly creative insults about each other's mothers slouched toward the door, muttering apologies." | | 1 | "The green neon sign outside flickered once, as if commenting on the evening's entertainment." | | 2 | "He slid into the chair across from her without invitation, the same presumption that had characterized their entire relationship now dressed up in better tailor…" | | 3 | "Silas appeared at their table with the subtle timing of someone who'd spent decades reading social situations for professional survival." | | 4 | "The kind of hands that signed contracts rather than carried boxes of takeaway containers through London rain." | | 5 | "Silas returned with their drinks, setting them down with the careful precision of someone avoiding accidental contact." | | 6 | "She looked at him across the table, this man who'd once convinced her that her instincts were unreliable, her emotions were excessive, her very existence was so…" | | 7 | "She turned back to face him, this man who'd once made her doubt her own memory, her own worth, her own right to exist without his permission." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "His laugh suggested (suggest)" |
| | dialogueSentences | 71 | | tagDensity | 0.014 | | leniency | 0.028 | | rawRatio | 1 | | effectiveRatio | 0.028 | |