| 50.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 3 | | adverbTags | | 0 | "she said quietly [quietly]" | | 1 | "He leaned back [back]" | | 2 | "she said eventually [eventually]" |
| | dialogueSentences | 40 | | tagDensity | 0.35 | | leniency | 0.7 | | rawRatio | 0.214 | | effectiveRatio | 0.15 | |
| 78.09% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 913 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "suddenly" | | 1 | "really" | | 2 | "slightly" |
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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) | |
| 67.14% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 913 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "familiar" | | 1 | "weight" | | 2 | "comforting" | | 3 | "unspoken" | | 4 | "silence" |
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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 | 44 | | matches | (empty) | |
| 45.45% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 44 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 69 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 914 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 90.07% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 584 | | uniqueNames | 9 | | maxNameDensity | 1.2 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Rory | 6 | | Blackwood | 1 | | Evan | 2 | | Cardiff | 1 | | Silas | 7 | | Soho | 1 | | London | 1 |
| | persons | | 0 | "Raven" | | 1 | "Rory" | | 2 | "Blackwood" | | 3 | "Evan" | | 4 | "Silas" |
| | places | | 0 | "Cardiff" | | 1 | "Soho" | | 2 | "London" |
| | globalScore | 0.901 | | windowScore | 1 | |
| 18.42% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 38 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like his third whiskey of the even" | | 1 | "seemed deeper carved by time and too many untold stories" |
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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 | 914 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 69 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 27.7 | | std | 15.32 | | cv | 0.553 | | sampleLengths | | 0 | 51 | | 1 | 55 | | 2 | 23 | | 3 | 34 | | 4 | 20 | | 5 | 23 | | 6 | 22 | | 7 | 16 | | 8 | 38 | | 9 | 10 | | 10 | 43 | | 11 | 33 | | 12 | 30 | | 13 | 2 | | 14 | 51 | | 15 | 29 | | 16 | 37 | | 17 | 36 | | 18 | 17 | | 19 | 42 | | 20 | 60 | | 21 | 25 | | 22 | 15 | | 23 | 24 | | 24 | 28 | | 25 | 20 | | 26 | 1 | | 27 | 13 | | 28 | 18 | | 29 | 16 | | 30 | 4 | | 31 | 55 | | 32 | 23 |
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| 97.29% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 44 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 98 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 69 | | ratio | 0.058 | | matches | | 0 | "The Raven's Nest was exactly as Rory remembered it - the same worn wooden bar, the same maps and photographs on the walls, the same low murmur of conversation punctuated by occasional bursts of laughter." | | 1 | "Their conversation drifted to safer topics - mutual acquaintances, local news, the changing face of Soho." | | 2 | "As the evening wore on, more patrons filtered in - some casting curious glances at the bar owner deep in conversation with a stranger." | | 3 | "Silas was right - some connections were worth keeping alive, even when life tried to pull you apart." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 581 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 13 | | adverbRatio | 0.022375215146299483 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.010327022375215147 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 69 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 69 | | mean | 13.25 | | std | 6.94 | | cv | 0.524 | | sampleLengths | | 0 | 35 | | 1 | 16 | | 2 | 6 | | 3 | 19 | | 4 | 15 | | 5 | 15 | | 6 | 16 | | 7 | 7 | | 8 | 17 | | 9 | 13 | | 10 | 4 | | 11 | 9 | | 12 | 11 | | 13 | 7 | | 14 | 16 | | 15 | 20 | | 16 | 2 | | 17 | 13 | | 18 | 3 | | 19 | 15 | | 20 | 23 | | 21 | 6 | | 22 | 4 | | 23 | 6 | | 24 | 21 | | 25 | 16 | | 26 | 11 | | 27 | 15 | | 28 | 7 | | 29 | 18 | | 30 | 12 | | 31 | 2 | | 32 | 22 | | 33 | 29 | | 34 | 23 | | 35 | 6 | | 36 | 11 | | 37 | 26 | | 38 | 11 | | 39 | 25 | | 40 | 7 | | 41 | 10 | | 42 | 16 | | 43 | 11 | | 44 | 15 | | 45 | 24 | | 46 | 20 | | 47 | 16 | | 48 | 13 | | 49 | 12 |
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| 79.23% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.4927536231884058 | | totalSentences | 69 | | uniqueOpeners | 34 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 44 | | matches | (empty) | | ratio | 0 | |
| 10.91% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 44 | | matches | | 0 | "She pushed open the heavy" | | 1 | "She froze when she saw" | | 2 | "His grey-streaked auburn hair was" | | 3 | "His voice was rougher than" | | 4 | "She crossed the room, suddenly" | | 5 | "He gestured to the empty" | | 6 | "He signaled to the bartender," | | 7 | "She took a sip, watching" | | 8 | "His eyes held hers, and" | | 9 | "she said quietly" | | 10 | "He'd been her father's closest" | | 11 | "They'd died in a car" | | 12 | "she asked, changing the subject" | | 13 | "He gestured at the room" | | 14 | "He leaned back, studying her" | | 15 | "She thought of the nights" | | 16 | "Their conversation drifted to safer" | | 17 | "He'd built a new life" | | 18 | "she said eventually, glancing at" | | 19 | "She took his hand, feeling" |
| | ratio | 0.523 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 41 | | totalSentences | 44 | | matches | | 0 | "The Raven's Nest was exactly" | | 1 | "She pushed open the heavy" | | 2 | "She froze when she saw" | | 3 | "Silas Blackwood, sitting alone in" | | 4 | "His grey-streaked auburn hair was" | | 5 | "The lines on his face" | | 6 | "His voice was rougher than" | | 7 | "She crossed the room, suddenly" | | 8 | "The weight of the delivery" | | 9 | "He gestured to the empty" | | 10 | "Rory sat down, shrugging off" | | 11 | "He signaled to the bartender," | | 12 | "She took a sip, watching" | | 13 | "His eyes held hers, and" | | 14 | "The one about Evan, about" | | 15 | "she said quietly" | | 16 | "Silas nodded, understanding in his" | | 17 | "He'd been her father's closest" | | 18 | "The mention of her parents" | | 19 | "They'd died in a car" |
| | ratio | 0.932 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 44 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 89.29% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 1 | | matches | | 0 | "He released, his expression softening" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 40 | | tagDensity | 0.075 | | leniency | 0.15 | | rawRatio | 0 | | effectiveRatio | 0 | |