| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 1 | | adverbTags | | 0 | "Lydia said quietly [quietly]" |
| | dialogueSentences | 66 | | tagDensity | 0.303 | | leniency | 0.606 | | rawRatio | 0.05 | | effectiveRatio | 0.03 | |
| 92.76% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1381 | | 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) | |
| 81.90% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1381 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "flickered" | | 1 | "gloom" | | 2 | "scanned" | | 3 | "silence" | | 4 | "sense of" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "let out a breath" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 102 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 102 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 148 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1376 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 60 | | wordCount | 835 | | uniqueNames | 9 | | maxNameDensity | 3.23 | | worstName | "Rory" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Soho | 1 | | Thursday | 1 | | Rory | 27 | | Lydia | 26 | | Cardiff | 1 | | University | 1 | | Llandaff | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Rory" | | 3 | "Lydia" | | 4 | "University" |
| | places | | 0 | "Soho" | | 1 | "Cardiff" | | 2 | "Llandaff" |
| | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | 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 | 1376 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 148 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 77 | | mean | 17.87 | | std | 14.42 | | cv | 0.807 | | sampleLengths | | 0 | 56 | | 1 | 54 | | 2 | 11 | | 3 | 52 | | 4 | 18 | | 5 | 1 | | 6 | 31 | | 7 | 25 | | 8 | 1 | | 9 | 11 | | 10 | 34 | | 11 | 37 | | 12 | 17 | | 13 | 27 | | 14 | 27 | | 15 | 9 | | 16 | 4 | | 17 | 3 | | 18 | 7 | | 19 | 9 | | 20 | 21 | | 21 | 7 | | 22 | 6 | | 23 | 18 | | 24 | 37 | | 25 | 14 | | 26 | 5 | | 27 | 25 | | 28 | 4 | | 29 | 31 | | 30 | 12 | | 31 | 4 | | 32 | 55 | | 33 | 5 | | 34 | 13 | | 35 | 44 | | 36 | 10 | | 37 | 20 | | 38 | 6 | | 39 | 26 | | 40 | 21 | | 41 | 7 | | 42 | 10 | | 43 | 7 | | 44 | 16 | | 45 | 31 | | 46 | 14 | | 47 | 7 | | 48 | 36 | | 49 | 10 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 102 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 168 | | matches | (empty) | |
| 84.94% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 148 | | ratio | 0.02 | | matches | | 0 | "The bar was quiet for a Thursday—just low jazz bleeding from speakers near the ceiling, and the clink of a glass being set down too hard." | | 1 | "She ordered a whiskey—neat, no hesitation." | | 2 | "They looked at each other for a long moment—two women who had once been girls, standing in the gap between who they were and who they’d become." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 847 | | adjectiveStacks | 2 | | stackExamples | | 0 | "same grey-green Rory" | | 1 | "small crescent-shaped scar" |
| | adverbCount | 26 | | adverbRatio | 0.030696576151121605 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.0059031877213695395 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 148 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 148 | | mean | 9.3 | | std | 7.99 | | cv | 0.859 | | sampleLengths | | 0 | 20 | | 1 | 10 | | 2 | 26 | | 3 | 12 | | 4 | 17 | | 5 | 25 | | 6 | 11 | | 7 | 5 | | 8 | 3 | | 9 | 29 | | 10 | 15 | | 11 | 13 | | 12 | 4 | | 13 | 1 | | 14 | 1 | | 15 | 13 | | 16 | 9 | | 17 | 9 | | 18 | 10 | | 19 | 5 | | 20 | 10 | | 21 | 1 | | 22 | 7 | | 23 | 4 | | 24 | 3 | | 25 | 31 | | 26 | 5 | | 27 | 12 | | 28 | 6 | | 29 | 14 | | 30 | 6 | | 31 | 7 | | 32 | 4 | | 33 | 15 | | 34 | 12 | | 35 | 3 | | 36 | 15 | | 37 | 9 | | 38 | 9 | | 39 | 4 | | 40 | 3 | | 41 | 2 | | 42 | 5 | | 43 | 4 | | 44 | 5 | | 45 | 12 | | 46 | 9 | | 47 | 7 | | 48 | 3 | | 49 | 3 |
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| 44.37% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.3310810810810811 | | totalSentences | 148 | | uniqueOpeners | 49 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 79 | | matches | | 0 | "Then the door swung open" | | 1 | "Then a saxophone started, slow" | | 2 | "Then Lydia turned and walked" |
| | ratio | 0.038 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 79 | | matches | | 0 | "He nodded at her once," | | 1 | "She settled onto a stool" | | 2 | "She carried herself like someone" | | 3 | "Her mouth opened slightly." | | 4 | "She pulled off her coat," | | 5 | "She ordered a whiskey—neat, no" | | 6 | "It was a stupid thing" | | 7 | "She had worn a high-necked" | | 8 | "She hadn’t thought it showed." | | 9 | "She looked older than twenty-five." | | 10 | "Her hands were steady, but" | | 11 | "She remembered the cold air," | | 12 | "She had not laughed like" | | 13 | "She turned on her stool," | | 14 | "Her eyes were the same" | | 15 | "Her hand hovered over Lydia’s," | | 16 | "She blinked, once, twice, and" | | 17 | "She pulled her hand back," | | 18 | "She stood, slung her coat" | | 19 | "They looked at each other" |
| | ratio | 0.253 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 79 | | matches | | 0 | "The green neon of The" | | 1 | "Rory pushed through the door," | | 2 | "The bar was quiet for" | | 3 | "Silas stood behind the mahogany," | | 4 | "He nodded at her once," | | 5 | "She settled onto a stool" | | 6 | "Rory didn't recognise the face." | | 7 | "The woman was sharp-edged-a sleek" | | 8 | "She carried herself like someone" | | 9 | "The woman scanned the room," | | 10 | "Her mouth opened slightly." | | 11 | "The name cracked through the" | | 12 | "Rory’s fingers tightened around the" | | 13 | "The woman stepped closer, and" | | 14 | "The curve of her jaw." | | 15 | "The way she tilted her" | | 16 | "Lydia let out a breath," | | 17 | "Rory’s throat tightened." | | 18 | "The last time she’d seen" | | 19 | "She pulled off her coat," |
| | ratio | 0.924 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 79 | | matches | (empty) | | ratio | 0 | |
| 73.73% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 3 | | matches | | 0 | "The woman was sharp-edged—a sleek black coat, heels that meant business, hair cropped short above her ears and dyed a platinum so pale it almost glowed in the g…" | | 1 | "The woman scanned the room, her eyes passing over Rory, then snapping back." | | 2 | "The last time she’d seen Lydia, they were seventeen, sitting on the steps of Cardiff University’s Llandaff building, sharing a cheap cigarette and plotting futu…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 1 | | matches | | 0 | "Lydia said, a ghost of a smile on her lips" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 16 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 66 | | tagDensity | 0.242 | | leniency | 0.485 | | rawRatio | 0 | | effectiveRatio | 0 | |