| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said quietly [quietly]" |
| | dialogueSentences | 72 | | tagDensity | 0.264 | | leniency | 0.528 | | rawRatio | 0.053 | | effectiveRatio | 0.028 | |
| 83.45% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1511 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "really" | | 2 | "suddenly" | | 3 | "very" |
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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) | |
| 66.91% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1511 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "familiar" | | 1 | "eyebrow" | | 2 | "silence" | | 3 | "weight" | | 4 | "flicker" | | 5 | "echoing" | | 6 | "silk" | | 7 | "stomach" |
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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 | 145 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 145 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 199 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 8 | | markdownWords | 10 | | totalWords | 1507 | | ratio | 0.007 | | matches | | 0 | "feel" | | 1 | "he" | | 2 | "leave" | | 3 | "be" | | 4 | "his" | | 5 | "erased" | | 6 | "PAY OR DIE." | | 7 | "public" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 24 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 1008 | | uniqueNames | 11 | | maxNameDensity | 1.59 | | worstName | "Silas" | | maxWindowNameDensity | 3 | | worstWindowName | "Silas" | | discoveredNames | | Rory | 7 | | Shaftesbury | 1 | | Avenue | 1 | | Arguing | 1 | | Christmases | 1 | | Taff | 1 | | Silas | 16 | | Blackwood | 1 | | Prague | 2 | | Burned | 1 | | Didn | 3 |
| | persons | | 0 | "Rory" | | 1 | "Silas" | | 2 | "Blackwood" |
| | places | | 0 | "Shaftesbury" | | 1 | "Avenue" | | 2 | "Taff" | | 3 | "Prague" |
| | globalScore | 0.706 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | 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 | 1507 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 199 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 85 | | mean | 17.73 | | std | 15.83 | | cv | 0.893 | | sampleLengths | | 0 | 82 | | 1 | 57 | | 2 | 11 | | 3 | 10 | | 4 | 3 | | 5 | 36 | | 6 | 65 | | 7 | 10 | | 8 | 2 | | 9 | 21 | | 10 | 39 | | 11 | 24 | | 12 | 36 | | 13 | 9 | | 14 | 39 | | 15 | 12 | | 16 | 28 | | 17 | 8 | | 18 | 10 | | 19 | 17 | | 20 | 22 | | 21 | 2 | | 22 | 2 | | 23 | 21 | | 24 | 21 | | 25 | 9 | | 26 | 1 | | 27 | 5 | | 28 | 4 | | 29 | 10 | | 30 | 33 | | 31 | 67 | | 32 | 4 | | 33 | 4 | | 34 | 12 | | 35 | 30 | | 36 | 20 | | 37 | 16 | | 38 | 3 | | 39 | 5 | | 40 | 12 | | 41 | 4 | | 42 | 17 | | 43 | 6 | | 44 | 45 | | 45 | 18 | | 46 | 26 | | 47 | 18 | | 48 | 8 | | 49 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 145 | | matches | | 0 | "being said" | | 1 | "been allowed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 197 | | matches | (empty) | |
| 85.43% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 199 | | ratio | 0.02 | | matches | | 0 | "The scent of stale beer and yesterday’s fry-up hit her first—warm, familiar, the kind of smell that clung to second-hand coats and bad decisions." | | 1 | "The tiny crescent scar there—a childhood accident, yes, but also a shadow of something else." | | 2 | "The amber colour sparked memories she hadn’t invited—Christmases when he’d brought her presents wrapped in paper that smelled of printer’s ink and old bookshops." | | 3 | "She watched the shape of him—shoulders broad once, now settling into middle age like a suit that no longer fit." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 653 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.033690658499234305 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.006125574272588055 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 199 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 199 | | mean | 7.57 | | std | 6.01 | | cv | 0.793 | | sampleLengths | | 0 | 21 | | 1 | 24 | | 2 | 21 | | 3 | 5 | | 4 | 9 | | 5 | 2 | | 6 | 31 | | 7 | 26 | | 8 | 11 | | 9 | 10 | | 10 | 3 | | 11 | 13 | | 12 | 21 | | 13 | 2 | | 14 | 10 | | 15 | 8 | | 16 | 11 | | 17 | 11 | | 18 | 25 | | 19 | 3 | | 20 | 7 | | 21 | 2 | | 22 | 17 | | 23 | 4 | | 24 | 19 | | 25 | 11 | | 26 | 9 | | 27 | 8 | | 28 | 3 | | 29 | 13 | | 30 | 3 | | 31 | 4 | | 32 | 21 | | 33 | 8 | | 34 | 2 | | 35 | 2 | | 36 | 5 | | 37 | 7 | | 38 | 15 | | 39 | 7 | | 40 | 5 | | 41 | 3 | | 42 | 2 | | 43 | 12 | | 44 | 2 | | 45 | 26 | | 46 | 8 | | 47 | 10 | | 48 | 9 | | 49 | 8 |
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| 47.40% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.32663316582914576 | | totalSentences | 199 | | uniqueOpeners | 65 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 113 | | matches | | 0 | "Just the ghost of something" | | 1 | "Just for a second." | | 2 | "Always neat with her." | | 3 | "Just a statement." | | 4 | "Really studied her." |
| | ratio | 0.044 | |
| 81.95% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 113 | | matches | | 0 | "She didn’t look at them." | | 1 | "She didn’t want to explain" | | 2 | "She dropped her bag onto" | | 3 | "He set the glass down," | | 4 | "She unzipped her jacket enough" | | 5 | "Her raincoat had failed her" | | 6 | "She exhaled and rubbed her" | | 7 | "He’d seen other marks on" | | 8 | "He knew what they meant." | | 9 | "he asked, jerking his chin" | | 10 | "He’d never been one for" | | 11 | "She cut herself off" | | 12 | "He was good at waiting." | | 13 | "He sighed and pushed off" | | 14 | "She accepted the glass, curled" | | 15 | "Her eleventh birthday." | | 16 | "She swallowed, almost choked." | | 17 | "It wasn’t a question." | | 18 | "She should’ve known he’d notice." | | 19 | "His mouth twitched at the" |
| | ratio | 0.345 | |
| 57.35% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 91 | | totalSentences | 113 | | matches | | 0 | "The hinges groaned as Rory" | | 1 | "The scent of stale beer" | | 2 | "She didn’t look at them." | | 3 | "She didn’t want to explain" | | 4 | "Silas moved behind the counter" | | 5 | "The silver signet ring caught" | | 6 | "She dropped her bag onto" | | 7 | "The cloth stilled." | | 8 | "Silas exhaled through his nose," | | 9 | "Rory knew that face better" | | 10 | "The hazel eyes still sharp" | | 11 | "The auburn streaks in his" | | 12 | "The beard trimmed neatly, a" | | 13 | "The limp in his left" | | 14 | "He set the glass down," | | 15 | "She unzipped her jacket enough" | | 16 | "Her raincoat had failed her" | | 17 | "Silas leaned back against the" | | 18 | "That stopped her." | | 19 | "She exhaled and rubbed her" |
| | ratio | 0.805 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 113 | | matches | (empty) | | ratio | 0 | |
| 47.62% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 4 | | matches | | 0 | "The scent of stale beer and yesterday’s fry-up hit her first—warm, familiar, the kind of smell that clung to second-hand coats and bad decisions." | | 1 | "Just the ghost of something older, something that had lived in his chest long before she’d set foot in this place." | | 2 | "The limp in his left step more pronounced tonight, dragging just a little, as if the floor had grown heavier since she last saw him." | | 3 | "The amber colour sparked memories she hadn’t invited—Christmases when he’d brought her presents wrapped in paper that smelled of printer’s ink and old bookshops…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 2 | | fancyTags | | 0 | "The way he’d (would)" | | 1 | "She whispered (whisper)" |
| | dialogueSentences | 72 | | tagDensity | 0.153 | | leniency | 0.306 | | rawRatio | 0.182 | | effectiveRatio | 0.056 | |