| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 32 | | adverbTagCount | 1 | | adverbTags | | 0 | "She gestured vaguely [vaguely]" |
| | dialogueSentences | 42 | | tagDensity | 0.762 | | leniency | 1 | | rawRatio | 0.031 | | effectiveRatio | 0.031 | |
| 96.19% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1313 | | totalAiIsmAdverbs | 1 | | 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) | |
| 20.03% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1313 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "predator" | | 1 | "weight" | | 2 | "etched" | | 3 | "testament" | | 4 | "scanned" | | 5 | "traced" | | 6 | "unspoken" | | 7 | "familiar" | | 8 | "implication" | | 9 | "flickered" | | 10 | "unreadable" | | 11 | "reminder" | | 12 | "whisper" | | 13 | "tension" |
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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 | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "hung heavy in the air" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 80 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 80 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 88 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 51 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1300 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 82.08% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 957 | | uniqueNames | 10 | | maxNameDensity | 1.36 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Silas" | | discoveredNames | | Silas | 13 | | Blackwood | 3 | | Soho | 1 | | Prague | 3 | | Carter | 1 | | Rory | 8 | | Red | 1 | | Sea | 1 | | London | 1 | | Evan | 1 |
| | persons | | 0 | "Silas" | | 1 | "Blackwood" | | 2 | "Carter" | | 3 | "Rory" | | 4 | "Evan" |
| | places | | 0 | "Soho" | | 1 | "Prague" | | 2 | "Red" | | 3 | "Sea" | | 4 | "London" |
| | globalScore | 0.821 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1300 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 88 | | matches | (empty) | |
| 39.33% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 16 | | mean | 81.25 | | std | 23.37 | | cv | 0.288 | | sampleLengths | | 0 | 130 | | 1 | 121 | | 2 | 73 | | 3 | 77 | | 4 | 51 | | 5 | 58 | | 6 | 78 | | 7 | 65 | | 8 | 78 | | 9 | 78 | | 10 | 66 | | 11 | 69 | | 12 | 65 | | 13 | 78 | | 14 | 84 | | 15 | 129 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 80 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 169 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 88 | | ratio | 0.08 | | matches | | 0 | "A small, crescent-shaped scar, pale against her tanned skin, traced her left wrist—a souvenir from a childhood accident she’d long since outgrown." | | 1 | "The air between them crackled, thick with the residue of their shared past—a past Silas had left behind in Prague, a past Rory had fled London to escape." | | 2 | "Rory’s eyes flickered, a brief flash of something unreadable—regret?" | | 3 | "Anger?—before her expression hardened." | | 4 | "The memory of Evan, her abusive ex, flashed through her mind—a ghost from her past she’d thought she’d buried." | | 5 | "Silas’s face contorted, a storm of emotions—regret, anger, something else—flashing across his features before he schooled his expression into icy detachment." | | 6 | "She looked at him, really looked at him—the grey-streaked hair, the limp, the haunted eyes." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 970 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, crescent-shaped scar," |
| | adverbCount | 19 | | adverbRatio | 0.01958762886597938 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.008247422680412371 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 88 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 88 | | mean | 14.77 | | std | 7.73 | | cv | 0.523 | | sampleLengths | | 0 | 21 | | 1 | 24 | | 2 | 19 | | 3 | 8 | | 4 | 13 | | 5 | 20 | | 6 | 25 | | 7 | 14 | | 8 | 22 | | 9 | 17 | | 10 | 14 | | 11 | 18 | | 12 | 22 | | 13 | 14 | | 14 | 4 | | 15 | 12 | | 16 | 13 | | 17 | 15 | | 18 | 29 | | 19 | 3 | | 20 | 8 | | 21 | 10 | | 22 | 9 | | 23 | 28 | | 24 | 19 | | 25 | 8 | | 26 | 10 | | 27 | 16 | | 28 | 10 | | 29 | 7 | | 30 | 9 | | 31 | 4 | | 32 | 9 | | 33 | 23 | | 34 | 13 | | 35 | 16 | | 36 | 11 | | 37 | 12 | | 38 | 20 | | 39 | 19 | | 40 | 3 | | 41 | 9 | | 42 | 10 | | 43 | 28 | | 44 | 15 | | 45 | 3 | | 46 | 21 | | 47 | 7 | | 48 | 12 | | 49 | 16 |
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| 57.95% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.375 | | totalSentences | 88 | | uniqueOpeners | 33 | |
| 42.19% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 79 | | matches | | 0 | "Anger?—before her expression hardened." |
| | ratio | 0.013 | |
| 7.34% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 42 | | totalSentences | 79 | | matches | | 0 | "His hazel eyes, sharp as" | | 1 | "His grey-streaked auburn hair, neatly" | | 2 | "Her bright blue eyes, wide" | | 3 | "She wore a tailored coat" | | 4 | "She pushed a strand of" | | 5 | "He pushed himself off the" | | 6 | "He slid off his stool," | | 7 | "She met his gaze, her" | | 8 | "She didn’t offer a hand," | | 9 | "she asked, her voice low" | | 10 | "He leaned in, lowering his" | | 11 | "His gaze swept over her," | | 12 | "she said, her voice cool" | | 13 | "She took a step closer," | | 14 | "Her question was pointed, a" | | 15 | "He pulled his hand back," | | 16 | "he said, his voice dropping" | | 17 | "He met her gaze, his" | | 18 | "His voice held a note" | | 19 | "she countered, her voice steady" |
| | ratio | 0.532 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 76 | | totalSentences | 79 | | matches | | 0 | "The greenneon sign outside Silas" | | 1 | "Silas Blackwood, leaning heavily on" | | 2 | "His hazel eyes, sharp as" | | 3 | "A faint limp, a relic" | | 4 | "His grey-streaked auburn hair, neatly" | | 5 | "A silver signet ring, cold" | | 6 | "The door swung open with" | | 7 | "Aurora Carter, or Rory, as" | | 8 | "Her bright blue eyes, wide" | | 9 | "Time hadn’t been kind, but" | | 10 | "She wore a tailored coat" | | 11 | "A small, crescent-shaped scar, pale" | | 12 | "She pushed a strand of" | | 13 | "Silas’s head snapped up." | | 14 | "Recognition, slow and deliberate, spread" | | 15 | "He pushed himself off the" | | 16 | "The word was a low" | | 17 | "He slid off his stool," | | 18 | "Aurora didn’t flinch." | | 19 | "She met his gaze, her" |
| | ratio | 0.962 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 79 | | matches | (empty) | | ratio | 0 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 4 | | matches | | 0 | "His grey-streaked auburn hair, neatly trimmed, framed a face etched with lines that spoke of countless nights spent in shadows." | | 1 | "She wore a tailored coat that looked too expensive for this dive, and her movements were precise, economical." | | 2 | "He slid off his stool, the leather creaking, and made his way towards her, the bar’s patrons parting like the Red Sea, their eyes lingering on the unexpected vi…" | | 3 | "The memory of Prague, of the botched op that had cost him his leg and his career, flashed through his mind." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 32 | | uselessAdditionCount | 11 | | matches | | 0 | "she said, her voice cool" | | 1 | "She took, her presence filling the space between them" | | 2 | "he said, his voice dropping to a dangerous whisper" | | 3 | "she countered, her voice steady" | | 4 | "he growled, the old nickname slipping out" | | 5 | "Silas repeated, his voice low" | | 6 | "He leaned in, his voice dropping to a dangerous whisper" | | 7 | "she said, her voice tight" | | 8 | "she said, her voice trembling with the effort of control" | | 9 | "he said, his voice cold and final" | | 10 | "she asked, her voice barely a whisper," |
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| 78.57% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 3 | | fancyTags | | 0 | "he growled (growl)" | | 1 | "Silas repeated (repeat)" | | 2 | "he spat (spit)" |
| | dialogueSentences | 42 | | tagDensity | 0.262 | | leniency | 0.524 | | rawRatio | 0.273 | | effectiveRatio | 0.143 | |