| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 2 | | adverbTags | | 0 | "Ffion asked once [once]" | | 1 | "she said instead [instead]" |
| | dialogueSentences | 41 | | tagDensity | 0.366 | | leniency | 0.732 | | rawRatio | 0.133 | | effectiveRatio | 0.098 | |
| 86.09% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1078 | | totalAiIsmAdverbs | 3 | | 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) | |
| 81.45% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1078 | | totalAiIsms | 4 | | found | | 0 | | | 1 | | word | "the last thing" | | count | 1 |
| | 2 | |
| | highlights | | 0 | "flickered" | | 1 | "the last thing" | | 2 | "silence" |
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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 | 0 | | narrationSentences | 40 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 40 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 66 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1089 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 801 | | uniqueNames | 5 | | maxNameDensity | 2.25 | | worstName | "Ffion" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Rory" | | discoveredNames | | Ffion | 18 | | Tube | 1 | | Rory | 15 | | Cardiff | 1 | | Evan | 1 |
| | persons | | 0 | "Ffion" | | 1 | "Tube" | | 2 | "Rory" | | 3 | "Evan" |
| | places | | | globalScore | 0.376 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 36 | | 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 | 1089 | | matches | (empty) | |
| 65.66% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 66 | | matches | | 0 | "overreacting, that she" | | 1 | "thought that this " |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 25.93 | | std | 28.43 | | cv | 1.096 | | sampleLengths | | 0 | 75 | | 1 | 34 | | 2 | 1 | | 3 | 30 | | 4 | 2 | | 5 | 34 | | 6 | 2 | | 7 | 64 | | 8 | 18 | | 9 | 3 | | 10 | 44 | | 11 | 5 | | 12 | 64 | | 13 | 12 | | 14 | 6 | | 15 | 11 | | 16 | 56 | | 17 | 29 | | 18 | 24 | | 19 | 2 | | 20 | 3 | | 21 | 5 | | 22 | 53 | | 23 | 9 | | 24 | 6 | | 25 | 9 | | 26 | 39 | | 27 | 16 | | 28 | 3 | | 29 | 3 | | 30 | 121 | | 31 | 15 | | 32 | 2 | | 33 | 4 | | 34 | 86 | | 35 | 4 | | 36 | 65 | | 37 | 22 | | 38 | 14 | | 39 | 1 | | 40 | 75 | | 41 | 18 |
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| 61.40% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 40 | | matches | | 0 | "been invited" | | 1 | "got separated" | | 2 | "was gone" | | 3 | "being collected" | | 4 | "been given" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 140 | | matches | | 0 | "was working" | | 1 | "was reading" | | 2 | "was deciding" | | 3 | "was overreacting" | | 4 | "was trying" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 1 | | flaggedSentences | 6 | | totalSentences | 66 | | ratio | 0.091 | | matches | | 0 | "\"No kidding.\" Ffion studied her — the leaner face, the stillness in her that hadn't been there before." | | 1 | "Rory almost smiled then — the corner of her mouth twitched up, and for a second Ffion caught a glimpse of the girl who used to sneak into lectures ten minutes late reeking of cheap cider, laughing about it the whole way to her seat." | | 2 | "Something flickered behind Rory's eyes, quick as a struck match, and Ffion recognised it even after all these years apart — the look Rory used to get when she was deciding how much of the truth to hand over." | | 3 | "Ffion had believed the anger in that conversation was the last thing she'd get from her — better than silence, at least it meant something." | | 4 | "There wasn't an answer for that; it wasn't the kind of thing you argued with." | | 5 | "Ffion finished the whisky she'd never technically been given, set the glass down with a soft click, and thought that this — whatever this had become — was the closest thing to an ending she was likely to get." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 797 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.03638644918444166 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.005018820577164366 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 66 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 66 | | mean | 16.5 | | std | 12.64 | | cv | 0.766 | | sampleLengths | | 0 | 24 | | 1 | 33 | | 2 | 18 | | 3 | 23 | | 4 | 11 | | 5 | 1 | | 6 | 3 | | 7 | 27 | | 8 | 2 | | 9 | 16 | | 10 | 18 | | 11 | 2 | | 12 | 18 | | 13 | 24 | | 14 | 22 | | 15 | 18 | | 16 | 3 | | 17 | 37 | | 18 | 7 | | 19 | 5 | | 20 | 17 | | 21 | 34 | | 22 | 13 | | 23 | 12 | | 24 | 6 | | 25 | 11 | | 26 | 45 | | 27 | 11 | | 28 | 16 | | 29 | 13 | | 30 | 14 | | 31 | 10 | | 32 | 2 | | 33 | 3 | | 34 | 3 | | 35 | 2 | | 36 | 20 | | 37 | 33 | | 38 | 9 | | 39 | 6 | | 40 | 9 | | 41 | 39 | | 42 | 6 | | 43 | 10 | | 44 | 3 | | 45 | 3 | | 46 | 18 | | 47 | 46 | | 48 | 25 | | 49 | 32 |
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| 65.66% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.4393939393939394 | | totalSentences | 66 | | uniqueOpeners | 29 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 38 | | matches | | 0 | "Then it was gone, tucked" | | 1 | "Instead she got years of" |
| | ratio | 0.053 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 6 | | totalSentences | 38 | | matches | | 0 | "She'd had a rough day" | | 1 | "She pushed through the door" | | 2 | "She thought about the last" | | 3 | "She stopped, glanced down the" | | 4 | "she said instead, though she" | | 5 | "she said, and stood before" |
| | ratio | 0.158 | |
| 12.63% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 34 | | totalSentences | 38 | | matches | | 0 | "The green neon sign buzzed" | | 1 | "She'd had a rough day" | | 2 | "She pushed through the door" | | 3 | "The woman behind the bar" | | 4 | "Something in the set of" | | 5 | "The woman turned." | | 6 | "Ffion pulled out a stool," | | 7 | "Ffion studied her — the" | | 8 | "Rory used to talk with" | | 9 | "This version poured a whisky" | | 10 | "Ffion said, because it was" | | 11 | "Ffion stopped herself, turned the" | | 12 | "Rory said it flat, no" | | 13 | "Ffion remembered the Rory who" | | 14 | "This Rory delivered devastating lines" | | 15 | "Rory almost smiled then —" | | 16 | "Rory said, wiping down a" | | 17 | "Ffion said the name like" | | 18 | "The bar noise swelled around" | | 19 | "A man with grey-streaked hair" |
| | ratio | 0.895 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 38 | | matches | (empty) | | ratio | 0 | |
| 18.63% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 4 | | matches | | 0 | "She'd had a rough day chasing sources for a story that kept dissolving in her hands, and the promise of a quiet drink somewhere unfamiliar sounded better than f…" | | 1 | "Ffion remembered the Rory who cried at adverts, who once sobbed through an entire viewing of a nature documentary because a baby elephant got separated from its…" | | 2 | "She thought about the last real conversation they'd had, three years back now, in a kitchen in Cardiff that smelled of burnt toast, Rory insisting everything wi…" | | 3 | "Instead she got years of silence, and now this: a stranger wearing her friend's face, pouring drinks with the calm precision of someone who'd learned to control…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 41 | | tagDensity | 0.22 | | leniency | 0.439 | | rawRatio | 0.111 | | effectiveRatio | 0.049 | |