| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 25 | | adverbTagCount | 2 | | adverbTags | | 0 | "she said finally [finally]" | | 1 | "He gestured around [around]" |
| | dialogueSentences | 75 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.08 | | effectiveRatio | 0.053 | |
| 96.86% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1591 | | 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) | |
| 43.43% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1591 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "silence" | | 1 | "traced" | | 2 | "methodical" | | 3 | "scanning" | | 4 | "gloom" | | 5 | "flicker" | | 6 | "familiar" | | 7 | "weight" | | 8 | "pulse" | | 9 | "unspoken" | | 10 | "profound" | | 11 | "calculated" | | 12 | "coded" |
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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 | 1 | | narrationSentences | 96 | | matches | | 0 | "A flicker of confusion" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 96 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 144 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 6 | | totalWords | 1591 | | ratio | 0.004 | | matches | | 0 | "Liam Byrne, Solicitor, Byrne & Associates" |
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| 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 | 29 | | wordCount | 983 | | uniqueNames | 12 | | maxNameDensity | 0.81 | | worstName | "Silas" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Silas | 8 | | London | 2 | | Soho | 1 | | Rory | 5 | | Evan | 2 | | Cardiff | 1 | | Eva | 1 | | Byrne | 2 | | Solicitor | 1 | | Liam | 4 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Rory" | | 4 | "Evan" | | 5 | "Eva" | | 6 | "Byrne" | | 7 | "Liam" |
| | places | | 0 | "London" | | 1 | "Soho" | | 2 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 73 | | glossingSentenceCount | 5 | | matches | | 0 | "felt like a held breath" | | 1 | "as if approaching a wild animal" | | 2 | "as if testing its weight" | | 3 | "something like pity" | | 4 | "as if trying to superimpose the old image over the new" |
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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 | 1591 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 144 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 75 | | mean | 21.21 | | std | 17.38 | | cv | 0.82 | | sampleLengths | | 0 | 83 | | 1 | 55 | | 2 | 26 | | 3 | 1 | | 4 | 19 | | 5 | 24 | | 6 | 50 | | 7 | 6 | | 8 | 9 | | 9 | 32 | | 10 | 8 | | 11 | 3 | | 12 | 43 | | 13 | 23 | | 14 | 28 | | 15 | 3 | | 16 | 6 | | 17 | 17 | | 18 | 34 | | 19 | 2 | | 20 | 10 | | 21 | 27 | | 22 | 33 | | 23 | 5 | | 24 | 34 | | 25 | 7 | | 26 | 29 | | 27 | 64 | | 28 | 7 | | 29 | 20 | | 30 | 7 | | 31 | 32 | | 32 | 2 | | 33 | 34 | | 34 | 4 | | 35 | 9 | | 36 | 23 | | 37 | 30 | | 38 | 7 | | 39 | 9 | | 40 | 17 | | 41 | 25 | | 42 | 16 | | 43 | 7 | | 44 | 57 | | 45 | 30 | | 46 | 6 | | 47 | 17 | | 48 | 14 | | 49 | 33 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 79.52% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 166 | | matches | | 0 | "was watching" | | 1 | "was living" | | 2 | "was living" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 144 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 984 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.028455284552845527 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.007113821138211382 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 144 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 144 | | mean | 11.05 | | std | 7.78 | | cv | 0.705 | | sampleLengths | | 0 | 19 | | 1 | 16 | | 2 | 25 | | 3 | 23 | | 4 | 18 | | 5 | 10 | | 6 | 16 | | 7 | 11 | | 8 | 5 | | 9 | 6 | | 10 | 15 | | 11 | 1 | | 12 | 8 | | 13 | 11 | | 14 | 10 | | 15 | 13 | | 16 | 1 | | 17 | 8 | | 18 | 16 | | 19 | 26 | | 20 | 6 | | 21 | 9 | | 22 | 5 | | 23 | 8 | | 24 | 19 | | 25 | 5 | | 26 | 3 | | 27 | 3 | | 28 | 13 | | 29 | 30 | | 30 | 9 | | 31 | 11 | | 32 | 3 | | 33 | 23 | | 34 | 5 | | 35 | 3 | | 36 | 6 | | 37 | 11 | | 38 | 6 | | 39 | 10 | | 40 | 24 | | 41 | 2 | | 42 | 10 | | 43 | 5 | | 44 | 16 | | 45 | 6 | | 46 | 4 | | 47 | 29 | | 48 | 5 | | 49 | 15 |
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| 47.22% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.3541666666666667 | | totalSentences | 144 | | uniqueOpeners | 51 | |
| 35.46% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 94 | | matches | | 0 | "Then he turned and walked" |
| | ratio | 0.011 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 56 | | totalSentences | 94 | | matches | | 0 | "He was around her age," | | 1 | "He hesitated, scanning the room," | | 2 | "His gaze landed on her." | | 3 | "It passed over, then snapped" | | 4 | "She took a sip of" | | 5 | "He moved toward the bar," | | 6 | "He stopped a few feet" | | 7 | "Her voice was flat" | | 8 | "He gestured to the stool" | | 9 | "She gave a slight nod." | | 10 | "He sat, the leather sighing" | | 11 | "He ordered a gin and" | | 12 | "He turned on the stool" | | 13 | "She didn’t answer." | | 14 | "His eyes swept over her" | | 15 | "She saw the surprise he" | | 16 | "He repeated the word as" | | 17 | "She met his eyes then." | | 18 | "His were the same warm" | | 19 | "He swirled his drink." |
| | ratio | 0.596 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 88 | | totalSentences | 94 | | matches | | 0 | "The Raven’s Nest held the" | | 1 | "Rory traced the rim of" | | 2 | "The green neon from the" | | 3 | "The door groaned open, letting" | | 4 | "A man stepped inside, shaking" | | 5 | "He was around her age," | | 6 | "He hesitated, scanning the room," | | 7 | "His gaze landed on her." | | 8 | "It passed over, then snapped" | | 9 | "A flicker of confusion, then" | | 10 | "The name hit the quiet" | | 11 | "Silas didn’t look up, but" | | 12 | "Rory kept her face neutral," | | 13 | "She took a sip of" | | 14 | "He moved toward the bar," | | 15 | "He stopped a few feet" | | 16 | "Her voice was flat" | | 17 | "He gestured to the stool" | | 18 | "She gave a slight nod." | | 19 | "He sat, the leather sighing" |
| | ratio | 0.936 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 94 | | matches | (empty) | | ratio | 0 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 5 | | matches | | 0 | "He hesitated, scanning the room, his eyes adjusting to the gloom." | | 1 | "A flicker of confusion, then a slow, dawning recognition that tightened something in Rory’s chest." | | 2 | "He ordered a gin and tonic from Silas, who served it without a word, his hazel eyes missing nothing." | | 3 | "The fear that had been a constant companion in Cardiff, the way Evan’s criticisms had slowly eroded her until she doubted her own mind, the final, terrifying ni…" | | 4 | "He lingered for a moment, his eyes searching her face one last time, as if trying to superimpose the old image over the new." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 25 | | uselessAdditionCount | 7 | | matches | | 0 | "He stopped, as if approaching a wild animal" | | 1 | "His eyes swept, her jeans, the lack of any professional gloss" | | 2 | "Liam said, the name a conclusion" | | 3 | "He shook, a sad smile touching his lips" | | 4 | "she repeated, the word a shield" | | 5 | "she shot back, a spark of the old fire in her eyes" | | 6 | "He reached out, as if to touch her hand, but stopped short" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 3 | | fancyTags | | 0 | "He repeated (repeat)" | | 1 | "she repeated (repeat)" | | 2 | "he murmured (murmur)" |
| | dialogueSentences | 75 | | tagDensity | 0.093 | | leniency | 0.187 | | rawRatio | 0.429 | | effectiveRatio | 0.08 | |