| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 1 | | adverbTags | | 0 | "the door closing softly [softly]" |
| | dialogueSentences | 20 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.1 | | effectiveRatio | 0.1 | |
| 70.83% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 857 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "really" | | 2 | "softly" |
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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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 857 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "familiar" | | 1 | "weight" | | 2 | "reminder" | | 3 | "glinting" | | 4 | "unspoken" | | 5 | "etched" | | 6 | "echoes" | | 7 | "sanctuary" | | 8 | "clandestine" | | 9 | "pulsed" | | 10 | "stark" |
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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 | 0 | | narrationSentences | 50 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 50 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 55 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 5 | | totalWords | 853 | | ratio | 0.006 | | matches | | 0 | "What are you doing here?" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 721 | | uniqueNames | 14 | | maxNameDensity | 0.69 | | worstName | "Silas" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Silas" | | discoveredNames | | Silas | 5 | | Soho | 3 | | Carter | 1 | | Rory | 5 | | Blackwood | 1 | | Prague | 1 | | Yu-Fei | 1 | | Cheung | 1 | | Golden | 1 | | Empress | 1 | | Evan | 1 | | London | 1 | | Raven | 1 | | Nest | 1 |
| | persons | | 0 | "Silas" | | 1 | "Carter" | | 2 | "Rory" | | 3 | "Blackwood" | | 4 | "Yu-Fei" | | 5 | "Cheung" | | 6 | "Empress" | | 7 | "Evan" | | 8 | "Raven" |
| | places | | 0 | "Soho" | | 1 | "Prague" | | 2 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like a ghost" | | 1 | "felt like echoes in a canyon" | | 2 | "felt like a lifetime away" |
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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 | 853 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 55 | | matches | (empty) | |
| 60.68% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 12 | | mean | 71.08 | | std | 25.76 | | cv | 0.362 | | sampleLengths | | 0 | 110 | | 1 | 93 | | 2 | 116 | | 3 | 44 | | 4 | 66 | | 5 | 55 | | 6 | 56 | | 7 | 49 | | 8 | 99 | | 9 | 45 | | 10 | 44 | | 11 | 76 |
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| 91.23% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 50 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 107 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 55 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 725 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.04 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.013793103448275862 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 55 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 55 | | mean | 15.51 | | std | 9.4 | | cv | 0.606 | | sampleLengths | | 0 | 23 | | 1 | 19 | | 2 | 26 | | 3 | 9 | | 4 | 33 | | 5 | 11 | | 6 | 13 | | 7 | 26 | | 8 | 13 | | 9 | 30 | | 10 | 3 | | 11 | 8 | | 12 | 28 | | 13 | 28 | | 14 | 8 | | 15 | 41 | | 16 | 5 | | 17 | 22 | | 18 | 17 | | 19 | 9 | | 20 | 13 | | 21 | 14 | | 22 | 20 | | 23 | 7 | | 24 | 3 | | 25 | 8 | | 26 | 27 | | 27 | 12 | | 28 | 8 | | 29 | 13 | | 30 | 14 | | 31 | 4 | | 32 | 4 | | 33 | 13 | | 34 | 8 | | 35 | 7 | | 36 | 14 | | 37 | 13 | | 38 | 15 | | 39 | 17 | | 40 | 18 | | 41 | 14 | | 42 | 15 | | 43 | 35 | | 44 | 14 | | 45 | 8 | | 46 | 12 | | 47 | 11 | | 48 | 14 | | 49 | 12 |
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| 49.70% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.36363636363636365 | | totalSentences | 55 | | uniqueOpeners | 20 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 50 | | matches | (empty) | | ratio | 0 | |
| 60.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 50 | | matches | | 0 | "She’d been avoiding this place," | | 1 | "His hazel eyes, sharp as" | | 2 | "He straightened, the movement fluid" | | 3 | "His voice was low, gravelly," | | 4 | "She saw the signet ring" | | 5 | "Her voice was cool, practiced" | | 6 | "She didn’t mention the part-time" | | 7 | "He chuckled, a dry sound." | | 8 | "He gestured to a stool" | | 9 | "She ordered a whiskey, neat," | | 10 | "She looked at him, really" | | 11 | "he said, pouring himself a" | | 12 | "He studied her, noting the" | | 13 | "She took a slow sip" | | 14 | "He leaned forward, his voice" | | 15 | "He tapped the signet ring" | | 16 | "Her voice was final, leaving" | | 17 | "He saw the scar, the" | | 18 | "His voice was softer now," | | 19 | "She paused at the threshold," |
| | ratio | 0.4 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 50 | | matches | | 0 | "The green neon signoutside Silas’s" | | 1 | "Aurora Carter, or Rory, as" | | 2 | "She’d been avoiding this place," | | 3 | "The scar on her left" | | 4 | "Silas Blackwood, leaning against the" | | 5 | "His hazel eyes, sharp as" | | 6 | "The slight limp in his" | | 7 | "He straightened, the movement fluid" | | 8 | "His voice was low, gravelly," | | 9 | "Rory’s breath hitched." | | 10 | "The years hadn’t been kind" | | 11 | "The sharp intelligence that had" | | 12 | "She saw the signet ring" | | 13 | "Her voice was cool, practiced" | | 14 | "She didn’t mention the part-time" | | 15 | "He chuckled, a dry sound." | | 16 | "He gestured to a stool" | | 17 | "The unspoken question hung heavy:" | | 18 | "Rory slid onto the stool," | | 19 | "She ordered a whiskey, neat," |
| | ratio | 0.94 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 50 | | matches | (empty) | | ratio | 0 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 3 | | matches | | 0 | "The scar on her left wrist, a faint crescent moon, itched beneath her sleeve cuff, a constant reminder of the accident that had nearly ended her childhood, and …" | | 1 | "The slight limp in his left leg was more pronounced today, a ghost of the Prague operation that had cost him his career and his freedom." | | 2 | "The unspoken regret hung between them like a thick fog: the regret of paths not taken, of opportunities missed, of a friendship that had frayed at the edges und…" |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 1 | | matches | | 0 | "He leaned, his voice dropping to a confidential murmur" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 20 | | tagDensity | 0.1 | | leniency | 0.2 | | rawRatio | 0.5 | | effectiveRatio | 0.1 | |