| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 2 | | adverbTags | | 0 | "She gestured vaguely [vaguely]" | | 1 | "Rory said quickly [quickly]" |
| | dialogueSentences | 61 | | tagDensity | 0.328 | | leniency | 0.656 | | rawRatio | 0.1 | | effectiveRatio | 0.066 | |
| 84.63% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1301 | | totalAiIsmAdverbs | 4 | | 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) | |
| 57.72% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1301 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "etched" | | 1 | "pulse" | | 2 | "trembled" | | 3 | "shattered" | | 4 | "weight" | | 5 | "glinting" | | 6 | "flicked" | | 7 | "echoed" | | 8 | "tension" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 124 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 124 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 162 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 4 | | totalWords | 1294 | | ratio | 0.003 | | matches | | 0 | "S." | | 1 | "had" | | 2 | "click" | | 3 | "had" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 51 | | wordCount | 979 | | uniqueNames | 13 | | maxNameDensity | 1.53 | | worstName | "Silas" | | maxWindowNameDensity | 3 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Cardiff | 3 | | Eva | 1 | | London | 2 | | Like | 2 | | Evan | 3 | | Rory | 12 | | Silas | 15 | | Slid | 1 | | Soho | 1 | | Wanted | 4 | | Had | 3 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Eva" | | 3 | "Evan" | | 4 | "Rory" | | 5 | "Silas" | | 6 | "Had" |
| | places | | 0 | "Cardiff" | | 1 | "London" | | 2 | "Soho" |
| | globalScore | 0.734 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 1 | | matches | | 0 | "appeared in front of them" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.773 | | wordCount | 1294 | | matches | | 0 | "Not since she’d left Cardiff with nothing but a duffel bag" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 162 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 62 | | mean | 20.87 | | std | 15.07 | | cv | 0.722 | | sampleLengths | | 0 | 56 | | 1 | 70 | | 2 | 63 | | 3 | 33 | | 4 | 34 | | 5 | 17 | | 6 | 25 | | 7 | 36 | | 8 | 8 | | 9 | 31 | | 10 | 10 | | 11 | 30 | | 12 | 6 | | 13 | 28 | | 14 | 6 | | 15 | 9 | | 16 | 23 | | 17 | 24 | | 18 | 25 | | 19 | 11 | | 20 | 21 | | 21 | 18 | | 22 | 17 | | 23 | 43 | | 24 | 5 | | 25 | 4 | | 26 | 4 | | 27 | 22 | | 28 | 20 | | 29 | 5 | | 30 | 21 | | 31 | 18 | | 32 | 3 | | 33 | 25 | | 34 | 12 | | 35 | 25 | | 36 | 45 | | 37 | 1 | | 38 | 16 | | 39 | 5 | | 40 | 24 | | 41 | 17 | | 42 | 8 | | 43 | 17 | | 44 | 45 | | 45 | 11 | | 46 | 13 | | 47 | 13 | | 48 | 18 | | 49 | 50 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 124 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 182 | | matches | (empty) | |
| 54.67% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 162 | | ratio | 0.031 | | matches | | 0 | "Silas stood three paces away, leaning against the far end of the bar with the same easy posture he’d always had—one ankle crossed over the other, fingers curled around a lowball glass." | | 1 | "She hadn’t seen him in—what?" | | 2 | "Silas reached into his pocket and pulled out a handkerchief—white, pressed, monogrammed with a single initial in the corner." | | 3 | "Wanted to say she was fine, that she didn’t need his help, that she wasn’t the same girl who’d once cried in his office after Evan had—" | | 4 | "Wanted to unload the weight of the last six years—the fear, the running, the way Evan’s voice still echoed in her head sometimes." |
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| 99.47% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 985 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 40 | | adverbRatio | 0.04060913705583756 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.007106598984771574 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 162 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 162 | | mean | 7.99 | | std | 6.17 | | cv | 0.773 | | sampleLengths | | 0 | 11 | | 1 | 20 | | 2 | 14 | | 3 | 3 | | 4 | 2 | | 5 | 6 | | 6 | 32 | | 7 | 24 | | 8 | 6 | | 9 | 1 | | 10 | 1 | | 11 | 6 | | 12 | 29 | | 13 | 6 | | 14 | 5 | | 15 | 2 | | 16 | 1 | | 17 | 20 | | 18 | 3 | | 19 | 8 | | 20 | 5 | | 21 | 9 | | 22 | 8 | | 23 | 13 | | 24 | 4 | | 25 | 11 | | 26 | 6 | | 27 | 12 | | 28 | 3 | | 29 | 2 | | 30 | 3 | | 31 | 17 | | 32 | 5 | | 33 | 19 | | 34 | 15 | | 35 | 1 | | 36 | 1 | | 37 | 4 | | 38 | 4 | | 39 | 4 | | 40 | 27 | | 41 | 7 | | 42 | 3 | | 43 | 19 | | 44 | 11 | | 45 | 4 | | 46 | 2 | | 47 | 13 | | 48 | 5 | | 49 | 10 |
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| 60.91% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3950617283950617 | | totalSentences | 162 | | uniqueOpeners | 64 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 107 | | matches | | 0 | "Just watched her, those hazel" | | 1 | "Then, finally, he pushed off" | | 2 | "Then, to Rory" | | 3 | "Just swirled the whiskey in" | | 4 | "Instead, she said," |
| | ratio | 0.047 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 107 | | matches | | 0 | "Her throat had sealed itself" | | 1 | "She hadn’t seen him in—what?" | | 2 | "he said, and his voice" | | 3 | "She looked down." | | 4 | "She hadn’t even felt it." | | 5 | "She wanted to argue." | | 6 | "She shook her head." | | 7 | "He nodded, and a moment" | | 8 | "She wrapped her fingers around" | | 9 | "He took a sip of" | | 10 | "She glanced down." | | 11 | "He didn’t push" | | 12 | "It wasn’t a question." | | 13 | "She wanted to ask what" | | 14 | "He tapped his knee, the" | | 15 | "It burned all the way" | | 16 | "She gestured vaguely at the" | | 17 | "He leaned forward, elbows on" | | 18 | "She didn’t answer." | | 19 | "He reached into his jacket" |
| | ratio | 0.28 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 107 | | matches | | 0 | "The glass slipped from her" | | 1 | "Bourbon splashed across the bar," | | 2 | "A man in a rumpled" | | 3 | "Rory didn’t apologise." | | 4 | "Her throat had sealed itself" | | 5 | "Silas stood three paces away," | | 6 | "The years had etched themselves" | | 7 | "The Raven’s Nest hummed around" | | 8 | "Rory’s pulse hammered in her" | | 9 | "She hadn’t seen him in—what?" | | 10 | "Silas didn’t move." | | 11 | "The way her fingers trembled." | | 12 | "The way her breath hitched" | | 13 | "The way she still hadn’t" | | 14 | "The limp was new." | | 15 | "Memory was a liar like" | | 16 | "he said, and his voice" | | 17 | "She looked down." | | 18 | "The glass had shattered in" | | 19 | "She hadn’t even felt it." |
| | ratio | 0.692 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 6 | | totalSentences | 107 | | matches | | 0 | "If he’d heard about Evan." | | 1 | "If he’d pieced together why" | | 2 | "If he’d ever wondered why" | | 3 | "Because the truth was, she" | | 4 | "Because he was right." | | 5 | "Because the truth was, she" |
| | ratio | 0.056 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 1 | | matches | | 0 | "The Raven’s Nest hummed around them, the low murmur of conversation and the clink of glasses suddenly distant, as if someone had turned down the volume on the w…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 1 | | matches | | 0 | "he said, and his voice was rougher than she remembered, deeper" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 61 | | tagDensity | 0.098 | | leniency | 0.197 | | rawRatio | 0 | | effectiveRatio | 0 | |