| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 2 | | adverbTags | | 0 | "He gestured vaguely [vaguely]" | | 1 | "she said quietly [quietly]" |
| | dialogueSentences | 52 | | tagDensity | 0.385 | | leniency | 0.769 | | rawRatio | 0.1 | | effectiveRatio | 0.077 | |
| 86.77% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1890 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slowly" | | 1 | "very" | | 2 | "carefully" |
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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) | |
| 76.19% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1890 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "symphony" | | 1 | "weight" | | 2 | "eyebrow" | | 3 | "reminder" | | 4 | "silence" | | 5 | "methodical" |
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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 | 107 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 107 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 138 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 56 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 6 | | totalWords | 1880 | | ratio | 0.003 | | matches | | 0 | "Do you need me?" | | 1 | "Not yet." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 1325 | | uniqueNames | 14 | | maxNameDensity | 0.91 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Silas" | | discoveredNames | | Silas | 12 | | January | 1 | | Golden | 1 | | Empress | 1 | | Raven | 1 | | Nest | 1 | | Evan | 6 | | Rory | 6 | | February | 1 | | Cardiff | 2 | | Paddington | 1 | | Tuesday | 1 | | London | 1 | | Scotch | 1 |
| | persons | | 0 | "Silas" | | 1 | "Raven" | | 2 | "Evan" | | 3 | "Rory" |
| | places | | 0 | "February" | | 1 | "Cardiff" | | 2 | "Paddington" | | 3 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 81 | | glossingSentenceCount | 1 | | matches | | 0 | "not quite and his hands were wrapped around a glass of whiskey like it was something he might need to protect" |
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| 93.62% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.064 | | wordCount | 1880 | | matches | | 0 | "Not Silas, but the man two seats down" | | 1 | "Not for him to walk through, but just so I don’t have to stand guard anymore" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 138 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 57 | | mean | 32.98 | | std | 24.58 | | cv | 0.745 | | sampleLengths | | 0 | 61 | | 1 | 78 | | 2 | 39 | | 3 | 73 | | 4 | 7 | | 5 | 1 | | 6 | 106 | | 7 | 17 | | 8 | 53 | | 9 | 8 | | 10 | 3 | | 11 | 43 | | 12 | 35 | | 13 | 30 | | 14 | 4 | | 15 | 35 | | 16 | 66 | | 17 | 3 | | 18 | 18 | | 19 | 64 | | 20 | 31 | | 21 | 28 | | 22 | 49 | | 23 | 14 | | 24 | 52 | | 25 | 72 | | 26 | 25 | | 27 | 1 | | 28 | 23 | | 29 | 39 | | 30 | 35 | | 31 | 43 | | 32 | 8 | | 33 | 24 | | 34 | 19 | | 35 | 2 | | 36 | 2 | | 37 | 64 | | 38 | 56 | | 39 | 65 | | 40 | 17 | | 41 | 60 | | 42 | 43 | | 43 | 36 | | 44 | 36 | | 45 | 15 | | 46 | 56 | | 47 | 4 | | 48 | 6 | | 49 | 3 |
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| 92.15% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 107 | | matches | | 0 | "was built" | | 1 | "was cropped" | | 2 | "were wrapped" | | 3 | "been carved" | | 4 | "was gone" |
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| 59.94% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 238 | | matches | | 0 | "was polishing" | | 1 | "was shrugging" | | 2 | "was standing" | | 3 | "was muddying" | | 4 | "was walking" |
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| 18.63% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 138 | | ratio | 0.043 | | matches | | 0 | "But something made him glance up from the glass he was polishing—the particular weight of a hesitation, perhaps, or the way the figure paused on the threshold, silhouetted against the grey January light." | | 1 | "His eyes—brown, she’d once thought they were the color of good whiskey, she’d written that in a poem she later tore up—were bloodshot at the edges." | | 2 | "He drained the last of his whiskey—just the melted ice now, she realized, which meant he’d been nursing that glass for a while—and stood." | | 3 | "He walked toward the door, and his gait had changed too—less swagger, more weariness." | | 4 | "The girl who’d fled Cardiff on a winter morning, flinching at sudden movements, apologizing for taking up space—that girl was a stranger now." | | 5 | "The man she’d just seen, with his therapy and his sobriety and his tired eyes—he was a stranger too." |
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| 96.30% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1334 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 59 | | adverbRatio | 0.04422788605697151 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.006746626686656672 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 138 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 138 | | mean | 13.62 | | std | 10.3 | | cv | 0.756 | | sampleLengths | | 0 | 28 | | 1 | 33 | | 2 | 6 | | 3 | 25 | | 4 | 24 | | 5 | 23 | | 6 | 25 | | 7 | 6 | | 8 | 8 | | 9 | 23 | | 10 | 31 | | 11 | 19 | | 12 | 7 | | 13 | 1 | | 14 | 5 | | 15 | 27 | | 16 | 8 | | 17 | 17 | | 18 | 23 | | 19 | 26 | | 20 | 11 | | 21 | 6 | | 22 | 6 | | 23 | 22 | | 24 | 25 | | 25 | 8 | | 26 | 3 | | 27 | 19 | | 28 | 9 | | 29 | 15 | | 30 | 3 | | 31 | 9 | | 32 | 16 | | 33 | 7 | | 34 | 14 | | 35 | 3 | | 36 | 10 | | 37 | 3 | | 38 | 4 | | 39 | 6 | | 40 | 27 | | 41 | 2 | | 42 | 16 | | 43 | 22 | | 44 | 5 | | 45 | 23 | | 46 | 3 | | 47 | 4 | | 48 | 14 | | 49 | 11 |
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| 39.13% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.2826086956521739 | | totalSentences | 138 | | uniqueOpeners | 39 | |
| 34.01% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 98 | | matches | | 0 | "Then he nodded, once, and" |
| | ratio | 0.01 | |
| 20.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 49 | | totalSentences | 98 | | matches | | 0 | "She was shrugging off her" | | 1 | "She’d just finished a shift," | | 2 | "She slid onto her usual" | | 3 | "He was built like someone" | | 4 | "His hair was cropped close" | | 5 | "His left thumb kept rubbing" | | 6 | "His voice was the same." | | 7 | "His jaw was sharper, his" | | 8 | "His eyes—brown, she’d once thought" | | 9 | "She said his name like" | | 10 | "She didn’t move from her" | | 11 | "He didn’t speak, just let" | | 12 | "He set the glass down" | | 13 | "She almost smiled." | | 14 | "He looked down at his" | | 15 | "He shook his head slowly" | | 16 | "He gestured vaguely, a flutter" | | 17 | "She felt a flare of" | | 18 | "She’d worked hard at unfolding." | | 19 | "She said nothing." |
| | ratio | 0.5 | |
| 26.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 85 | | totalSentences | 98 | | matches | | 0 | "The brass bell above the" | | 1 | "Rory didn’t notice him at" | | 2 | "She was shrugging off her" | | 3 | "She’d just finished a shift," | | 4 | "The Raven’s Nest was her" | | 5 | "She slid onto her usual" | | 6 | "That was when she saw" | | 7 | "He was built like someone" | | 8 | "His hair was cropped close" | | 9 | "His left thumb kept rubbing" | | 10 | "His voice was the same." | | 11 | "That was the first thing" | | 12 | "The man wearing it had" | | 13 | "His jaw was sharper, his" | | 14 | "His eyes—brown, she’d once thought" | | 15 | "She said his name like" | | 16 | "She didn’t move from her" | | 17 | "Silas’s hands stopped polishing the" | | 18 | "He didn’t speak, just let" | | 19 | "Rory caught the slight tilt" |
| | ratio | 0.867 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 98 | | matches | (empty) | | ratio | 0 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 7 | | matches | | 0 | "He was built like someone who’d once been heavy and had disciplined the weight off, broad shoulders narrowed now to something leaner, sharper." | | 1 | "That was the first thing that hit her, a low register that had once made her feel safe and made her feel small, depending on the day." | | 2 | "His jaw was sharper, his cheekbones more pronounced, and there was a thin scar bisecting his right eyebrow that hadn’t been there before." | | 3 | "He didn’t speak, just let his gaze drift between them with the quiet assessment of a man who’d spent decades reading rooms." | | 4 | "The silence he left behind was heavy, the kind that sits in a room after something important has happened and everyone’s still figuring out what it was." | | 5 | "The girl who’d fled Cardiff on a winter morning, flinching at sudden movements, apologizing for taking up space—that girl was a stranger now." | | 6 | "Two strangers who’d once known each other, meeting in a bar on a Tuesday afternoon, exchanging polite words about the weather of old wounds." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 4 | | matches | | 0 | "Silas said, and his voice was pleasant in a way that wasn’t pleasant at all" | | 1 | "He gestured vaguely, a flutter of fingers near his own shoulder" | | 2 | "he asked, his tone carefully neutral" | | 3 | "He began, his movements methodical, practiced" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 52 | | tagDensity | 0.212 | | leniency | 0.423 | | rawRatio | 0.091 | | effectiveRatio | 0.038 | |