| 92.86% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 3 | | adverbTags | | 0 | "Silas said quietly [quietly]" | | 1 | "Rory said quietly [quietly]" | | 2 | "he said finally [finally]" |
| | dialogueSentences | 56 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 0.375 | | effectiveRatio | 0.107 | |
| 96.41% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1392 | | 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) | |
| 49.71% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1392 | | totalAiIsms | 14 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | word | "carried the weight" | | count | 1 |
| | 6 | | | 7 | | word | "practiced ease" | | count | 1 |
| | 8 | | | 9 | | | 10 | |
| | highlights | | 0 | "shattered" | | 1 | "tension" | | 2 | "calculating" | | 3 | "pulse" | | 4 | "flicked" | | 5 | "carried the weight" | | 6 | "stomach" | | 7 | "practiced ease" | | 8 | "silence" | | 9 | "weight" | | 10 | "familiar" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 128 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 128 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 174 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 12 | | markdownWords | 28 | | totalWords | 1388 | | ratio | 0.02 | | matches | | 0 | "The Raven’s Nest" | | 1 | "Her" | | 2 | "Good." | | 3 | "Don’t react. Don’t give him the satisfaction." | | 4 | "scene" | | 5 | "lied" | | 6 | "Laila." | | 7 | "Do you want me to handle this?" | | 8 | "had" | | 9 | "gone" | | 10 | "Laila" | | 11 | "three days ago." |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 59 | | wordCount | 1095 | | uniqueNames | 5 | | maxNameDensity | 1.74 | | worstName | "Rory" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Evan" | | discoveredNames | | Rory | 19 | | Silas | 18 | | Raven | 1 | | Evan | 19 | | Cardiff | 2 |
| | persons | | | places | | | globalScore | 0.632 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 83 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1388 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 174 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 89 | | mean | 15.6 | | std | 12.75 | | cv | 0.817 | | sampleLengths | | 0 | 58 | | 1 | 20 | | 2 | 12 | | 3 | 14 | | 4 | 58 | | 5 | 6 | | 6 | 1 | | 7 | 71 | | 8 | 26 | | 9 | 23 | | 10 | 1 | | 11 | 11 | | 12 | 15 | | 13 | 13 | | 14 | 17 | | 15 | 39 | | 16 | 3 | | 17 | 11 | | 18 | 15 | | 19 | 33 | | 20 | 5 | | 21 | 32 | | 22 | 10 | | 23 | 12 | | 24 | 6 | | 25 | 24 | | 26 | 1 | | 27 | 27 | | 28 | 11 | | 29 | 18 | | 30 | 31 | | 31 | 4 | | 32 | 4 | | 33 | 21 | | 34 | 11 | | 35 | 10 | | 36 | 4 | | 37 | 13 | | 38 | 7 | | 39 | 19 | | 40 | 12 | | 41 | 14 | | 42 | 15 | | 43 | 15 | | 44 | 7 | | 45 | 11 | | 46 | 14 | | 47 | 32 | | 48 | 18 | | 49 | 8 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 128 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 207 | | matches | | 0 | "wasn’t looking" | | 1 | "was staring" | | 2 | "was deafening" |
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| 77.18% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 174 | | ratio | 0.023 | | matches | | 0 | "He looked different—thinner, harder, the kind of man who’d spent too many nights in places where the lights stayed off for a reason." | | 1 | "But his eyes—those were the same." | | 2 | "She could see the question in his eyes—*Do you want me to handle this?*—but she gave a barely perceptible shake of her head." | | 3 | "It was a picture of her—*Laila*—standing outside a café in Cardiff, her face half-hidden beneath the hood of her jacket." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1099 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.03366696997270246 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.009099181073703366 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 174 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 174 | | mean | 7.98 | | std | 5.75 | | cv | 0.72 | | sampleLengths | | 0 | 12 | | 1 | 20 | | 2 | 26 | | 3 | 16 | | 4 | 4 | | 5 | 8 | | 6 | 4 | | 7 | 10 | | 8 | 4 | | 9 | 8 | | 10 | 20 | | 11 | 30 | | 12 | 4 | | 13 | 2 | | 14 | 1 | | 15 | 10 | | 16 | 23 | | 17 | 16 | | 18 | 6 | | 19 | 1 | | 20 | 1 | | 21 | 14 | | 22 | 3 | | 23 | 9 | | 24 | 14 | | 25 | 17 | | 26 | 6 | | 27 | 1 | | 28 | 6 | | 29 | 5 | | 30 | 6 | | 31 | 9 | | 32 | 6 | | 33 | 2 | | 34 | 5 | | 35 | 12 | | 36 | 5 | | 37 | 14 | | 38 | 8 | | 39 | 17 | | 40 | 3 | | 41 | 7 | | 42 | 4 | | 43 | 5 | | 44 | 10 | | 45 | 3 | | 46 | 4 | | 47 | 14 | | 48 | 12 | | 49 | 5 |
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| 45.98% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.29310344827586204 | | totalSentences | 174 | | uniqueOpeners | 51 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 119 | | matches | | 0 | "Then Evan’s face twisted, his" | | 1 | "Then she shook her head." | | 2 | "Instead, he reached beneath the" | | 3 | "Just her name, written in" |
| | ratio | 0.034 | |
| 95.63% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 119 | | matches | | 0 | "Her fingers twitched toward the" | | 1 | "He was staring at Silas," | | 2 | "She’d been leaning against the" | | 3 | "His name hit her like" | | 4 | "He looked different—thinner, harder, the" | | 5 | "His once-neat dark hair was" | | 6 | "She should’ve left." | | 7 | "It crashed into a table," | | 8 | "She knew that tone." | | 9 | "She should’ve left years ago." | | 10 | "She’d heard enough." | | 11 | "She pushed off the bar," | | 12 | "She didn’t answer." | | 13 | "She could see the question" | | 14 | "She could handle Evan." | | 15 | "She *had* handled him." | | 16 | "His smirk faltered." | | 17 | "His voice was dangerously soft" | | 18 | "She laughed, a short, humorless" | | 19 | "Her boot connected with his" |
| | ratio | 0.311 | |
| 44.03% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 99 | | totalSentences | 119 | | matches | | 0 | "The glass shattered against the" | | 1 | "Her fingers twitched toward the" | | 2 | "He was staring at Silas," | | 3 | "the man slurred, his voice" | | 4 | "Silas set the glass down" | | 5 | "The man’s knuckles whitened around" | | 6 | "Rory exhaled through her nose," | | 7 | "The air in *The Raven’s" | | 8 | "She’d been leaning against the" | | 9 | "His name hit her like" | | 10 | "He looked different—thinner, harder, the" | | 11 | "His once-neat dark hair was" | | 12 | "The kind of eyes that" | | 13 | "She should’ve left." | | 14 | "Evan’s gaze flicked toward her," | | 15 | "Silas finally set the glass" | | 16 | "Evan laughed, a sharp, bitter" | | 17 | "Rory’s fingers curled into her" | | 18 | "Silas sighed, the kind of" | | 19 | "Evan’s hand shot out, grabbing" |
| | ratio | 0.832 | |
| 42.02% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 119 | | matches | | 0 | "As if he didn’t recognize" |
| | ratio | 0.008 | |
| 93.02% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 3 | | matches | | 0 | "He was staring at Silas, who hadn’t moved from his spot behind the bar, polishing the same glass he’d been polishing for the last twenty minutes." | | 1 | "He looked different—thinner, harder, the kind of man who’d spent too many nights in places where the lights stayed off for a reason." | | 2 | "Silas sighed, the kind of sigh that carried the weight of decades." |
| |
| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 1 | | matches | | 0 | "the man slurred, his voice thick with something darker than whiskey" |
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| 96.43% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 3 | | fancyTags | | 0 | "the man slurred (slur)" | | 1 | "she whispered (whisper)" | | 2 | "he spat (spit)" |
| | dialogueSentences | 56 | | tagDensity | 0.125 | | leniency | 0.25 | | rawRatio | 0.429 | | effectiveRatio | 0.107 | |