| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said finally [finally]" |
| | dialogueSentences | 57 | | tagDensity | 0.228 | | leniency | 0.456 | | rawRatio | 0.077 | | effectiveRatio | 0.035 | |
| 92.44% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1322 | | totalAiIsmAdverbs | 2 | | 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) | |
| 88.65% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1322 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "silence" | | 1 | "weight" | | 2 | "footsteps" |
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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 | 96 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 96 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 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 | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1326 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 919 | | uniqueNames | 11 | | maxNameDensity | 0.98 | | worstName | "Rhys" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rhys" | | discoveredNames | | Soho | 1 | | Cardiff | 1 | | Davies | 1 | | Bute | 2 | | Park | 2 | | Golden | 1 | | Empress | 1 | | Easier | 1 | | Rhys | 9 | | Aurora | 6 | | Silas | 7 |
| | persons | | 0 | "Davies" | | 1 | "Rhys" | | 2 | "Aurora" | | 3 | "Silas" |
| | places | | 0 | "Soho" | | 1 | "Cardiff" | | 2 | "Bute" | | 3 | "Park" |
| | globalScore | 1 | | windowScore | 0.833 | |
| 8.49% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like a man with places to be" | | 1 | "as if approaching a deer" | | 2 | "felt like a different life" |
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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 | 1326 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 138 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 71 | | mean | 18.68 | | std | 16.46 | | cv | 0.882 | | sampleLengths | | 0 | 52 | | 1 | 45 | | 2 | 1 | | 3 | 17 | | 4 | 43 | | 5 | 9 | | 6 | 23 | | 7 | 14 | | 8 | 66 | | 9 | 4 | | 10 | 45 | | 11 | 25 | | 12 | 18 | | 13 | 4 | | 14 | 50 | | 15 | 6 | | 16 | 3 | | 17 | 12 | | 18 | 18 | | 19 | 5 | | 20 | 6 | | 21 | 29 | | 22 | 2 | | 23 | 44 | | 24 | 4 | | 25 | 38 | | 26 | 21 | | 27 | 14 | | 28 | 3 | | 29 | 39 | | 30 | 27 | | 31 | 52 | | 32 | 6 | | 33 | 4 | | 34 | 28 | | 35 | 35 | | 36 | 14 | | 37 | 10 | | 38 | 4 | | 39 | 3 | | 40 | 60 | | 41 | 7 | | 42 | 4 | | 43 | 31 | | 44 | 14 | | 45 | 18 | | 46 | 23 | | 47 | 4 | | 48 | 11 | | 49 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 176 | | matches | (empty) | |
| 60.04% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 138 | | ratio | 0.029 | | matches | | 0 | "The bar hummed around them — the fridge, the distant murmur of traffic, the rain starting again against the window." | | 1 | "His hand brushed her shoulder as he passed — a small gesture, barely there." | | 2 | "He looked around the bar — the old maps on the walls, the photographs of people she'd never identified, the green glow of the sign bleeding through the window." | | 3 | "He stood there for a moment, looking at her, and she saw the boy he'd been — the one who'd held her hand walking home from Bute Park, who'd told her scars were stories you could read with your fingers." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 917 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.03598691384950927 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.006543075245365322 | |
| 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 | 9.61 | | std | 7.66 | | cv | 0.797 | | sampleLengths | | 0 | 18 | | 1 | 4 | | 2 | 30 | | 3 | 15 | | 4 | 14 | | 5 | 16 | | 6 | 1 | | 7 | 14 | | 8 | 3 | | 9 | 14 | | 10 | 16 | | 11 | 4 | | 12 | 9 | | 13 | 9 | | 14 | 10 | | 15 | 13 | | 16 | 14 | | 17 | 8 | | 18 | 7 | | 19 | 3 | | 20 | 5 | | 21 | 18 | | 22 | 25 | | 23 | 4 | | 24 | 8 | | 25 | 11 | | 26 | 26 | | 27 | 13 | | 28 | 12 | | 29 | 10 | | 30 | 8 | | 31 | 4 | | 32 | 4 | | 33 | 3 | | 34 | 21 | | 35 | 7 | | 36 | 15 | | 37 | 6 | | 38 | 3 | | 39 | 3 | | 40 | 9 | | 41 | 18 | | 42 | 5 | | 43 | 5 | | 44 | 1 | | 45 | 9 | | 46 | 5 | | 47 | 15 | | 48 | 2 | | 49 | 7 |
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| 39.13% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.2753623188405797 | | totalSentences | 138 | | uniqueOpeners | 38 | |
| 74.07% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 90 | | matches | | 0 | "Of course he remembered it." | | 1 | "Just the arithmetic of it." |
| | ratio | 0.022 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 57 | | totalSentences | 90 | | matches | | 0 | "She nursed a glass of" | | 1 | "He glanced at the newcomer," | | 2 | "He had a habit of" | | 3 | "Her name, spoken in that" | | 4 | "She looked up." | | 5 | "He was broader than she" | | 6 | "He held a briefcase." | | 7 | "He looked like a man" | | 8 | "His name came out smaller" | | 9 | "He crossed the room slowly," | | 10 | "He set the briefcase against" | | 11 | "She touched her left wrist" | | 12 | "He remembered it." | | 13 | "They'd been twelve, climbing a" | | 14 | "He'd held her hand the" | | 15 | "He looked at her jacket" | | 16 | "His eyes travelled up to" | | 17 | "He had a way of" | | 18 | "She poured it herself." | | 19 | "She'd learned the optics months" |
| | ratio | 0.633 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 85 | | totalSentences | 90 | | matches | | 0 | "The door opened and a" | | 1 | "Aurora didn't look up." | | 2 | "She nursed a glass of" | | 3 | "Silas wiped down the counter" | | 4 | "He glanced at the newcomer," | | 5 | "He had a habit of" | | 6 | "Her name, spoken in that" | | 7 | "She looked up." | | 8 | "Rhys Davies stood by the" | | 9 | "He was broader than she" | | 10 | "He held a briefcase." | | 11 | "He looked like a man" | | 12 | "His name came out smaller" | | 13 | "He crossed the room slowly," | | 14 | "He set the briefcase against" | | 15 | "She touched her left wrist" | | 16 | "The crescent-shaped scar, pale against" | | 17 | "He remembered it." | | 18 | "They'd been twelve, climbing a" | | 19 | "He'd held her hand the" |
| | ratio | 0.944 | |
| 55.56% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 90 | | matches | | 0 | "Because he wasn't wrong, and" |
| | ratio | 0.011 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 1 | | matches | | 0 | "He stood there for a moment, looking at her, and she saw the boy he'd been — the one who'd held her hand walking home from Bute Park, who'd told her scars were …" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 57 | | tagDensity | 0.07 | | leniency | 0.14 | | rawRatio | 0 | | effectiveRatio | 0 | |