| 18.18% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said again [again]" |
| | dialogueSentences | 11 | | tagDensity | 0.364 | | leniency | 0.727 | | rawRatio | 0.25 | | effectiveRatio | 0.182 | |
| 95.42% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1092 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 49.63% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1092 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "pulsed" | | 1 | "throbbed" | | 2 | "pulse" | | 3 | "perfect" | | 4 | "warmth" | | 5 | "silence" | | 6 | "stomach" | | 7 | "resolved" | | 8 | "weight" | | 9 | "lurch" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 122 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 122 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 129 | | 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 | 1092 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 1034 | | uniqueNames | 10 | | maxNameDensity | 1.26 | | worstName | "Eva" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Eva" | | discoveredNames | | Heartstone | 2 | | Pendant | 1 | | Eva | 13 | | Richmond | 1 | | Rory | 12 | | Fae | 1 | | Grove | 1 | | Cardiff | 2 | | Evan | 1 | | London | 1 |
| | persons | | 0 | "Pendant" | | 1 | "Eva" | | 2 | "Rory" | | 3 | "Evan" |
| | places | | 0 | "Richmond" | | 1 | "Fae" | | 2 | "Grove" | | 3 | "Cardiff" | | 4 | "London" |
| | globalScore | 0.871 | | windowScore | 0.5 | |
| 70.63% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like carpet" | | 1 | "smelled like blood" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1092 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 129 | | matches | | 0 | "chose that moment" | | 1 | "wore that coat" |
| |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 20.22 | | std | 15.11 | | cv | 0.747 | | sampleLengths | | 0 | 10 | | 1 | 26 | | 2 | 1 | | 3 | 40 | | 4 | 34 | | 5 | 7 | | 6 | 29 | | 7 | 10 | | 8 | 37 | | 9 | 3 | | 10 | 58 | | 11 | 3 | | 12 | 33 | | 13 | 47 | | 14 | 13 | | 15 | 9 | | 16 | 27 | | 17 | 17 | | 18 | 21 | | 19 | 9 | | 20 | 13 | | 21 | 9 | | 22 | 3 | | 23 | 20 | | 24 | 3 | | 25 | 51 | | 26 | 8 | | 27 | 1 | | 28 | 37 | | 29 | 37 | | 30 | 15 | | 31 | 14 | | 32 | 10 | | 33 | 4 | | 34 | 34 | | 35 | 3 | | 36 | 5 | | 37 | 27 | | 38 | 3 | | 39 | 24 | | 40 | 47 | | 41 | 10 | | 42 | 8 | | 43 | 53 | | 44 | 18 | | 45 | 12 | | 46 | 26 | | 47 | 17 | | 48 | 11 | | 49 | 12 |
| |
| 99.51% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 122 | | matches | | 0 | "was gone" | | 1 | "were crushed" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 182 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 129 | | ratio | 0 | | matches | (empty) | |
| 89.48% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1038 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 54 | | adverbRatio | 0.05202312138728324 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.011560693641618497 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 129 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 129 | | mean | 8.47 | | std | 7.62 | | cv | 0.901 | | sampleLengths | | 0 | 10 | | 1 | 26 | | 2 | 1 | | 3 | 5 | | 4 | 3 | | 5 | 18 | | 6 | 2 | | 7 | 12 | | 8 | 4 | | 9 | 5 | | 10 | 25 | | 11 | 7 | | 12 | 2 | | 13 | 1 | | 14 | 19 | | 15 | 7 | | 16 | 10 | | 17 | 2 | | 18 | 23 | | 19 | 8 | | 20 | 4 | | 21 | 3 | | 22 | 10 | | 23 | 10 | | 24 | 25 | | 25 | 8 | | 26 | 5 | | 27 | 3 | | 28 | 9 | | 29 | 6 | | 30 | 18 | | 31 | 27 | | 32 | 2 | | 33 | 2 | | 34 | 16 | | 35 | 6 | | 36 | 2 | | 37 | 2 | | 38 | 3 | | 39 | 9 | | 40 | 9 | | 41 | 18 | | 42 | 2 | | 43 | 15 | | 44 | 9 | | 45 | 5 | | 46 | 7 | | 47 | 9 | | 48 | 3 | | 49 | 8 |
| |
| 63.31% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.4263565891472868 | | totalSentences | 129 | | uniqueOpeners | 55 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 97 | | matches | | 0 | "Only her boots on soft" | | 1 | "Only the tree line, only" | | 2 | "Then studied Rory." |
| | ratio | 0.031 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 97 | | matches | | 0 | "She stumbled forward onto her" | | 1 | "She twisted around." | | 2 | "She pushed herself up." | | 3 | "Her breath fogged and she" | | 4 | "It throbbed under her t-shirt," | | 5 | "It should have been beautiful." | | 6 | "It felt watched." | | 7 | "she muttered, remembering the single" | | 8 | "She started forward anyway, because" | | 9 | "Her voice came out smaller" | | 10 | "She aimed for the centre" | | 11 | "She turned back." | | 12 | "She hadn't walked that far." | | 13 | "Her stomach dropped." | | 14 | "She kept walking, eyes fixed" | | 15 | "It lay empty on the" | | 16 | "She lifted it." | | 17 | "She scrambled to her feet," | | 18 | "Her heel hit something soft." | | 19 | "She looked down." |
| | ratio | 0.278 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 97 | | matches | | 0 | "Rory's boots hit the stone" | | 1 | "She stumbled forward onto her" | | 2 | "The word left her raw." | | 3 | "She twisted around." | | 4 | "The gap she'd squeezed through" | | 5 | "She pushed herself up." | | 6 | "Her breath fogged and she" | | 7 | "The Heartstone Pendant burned against" | | 8 | "It throbbed under her t-shirt," | | 9 | "The notes Eva left said" | | 10 | "Eva hadn't answered her phone" | | 11 | "Eva never didn't answer." | | 12 | "The Fae Grove opened around" | | 13 | "The ancient oaks stood too" | | 14 | "The air tasted of crushed" | | 15 | "It should have been beautiful." | | 16 | "It felt watched." | | 17 | "Rory pulled the pendant out" | | 18 | "The chain stuck to her" | | 19 | "The stone flared, threw bloody" |
| | ratio | 0.711 | |
| 51.55% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 97 | | matches | | | ratio | 0.01 | |
| 58.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 4 | | matches | | 0 | "Between them wildflowers glowed, white and yellow and a blue that didn't have a name, all blooming at once as if seasons were a suggestion." | | 1 | "The flowers bent under an invisible weight that matched her boots exactly, five feet behind where she stood." | | 2 | "The cool-headed, quick-thinking girl from Cardiff who out-talked barristers and landlords and Evan when he cornered her, that girl left her body entirely." | | 3 | "Rory felt it in her teeth, a lurch like missing a stair, and the wildflowers that had been white were suddenly tall, over her knees, and the standing stones wep…" |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 59.09% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 11 | | tagDensity | 0.273 | | leniency | 0.545 | | rawRatio | 0.333 | | effectiveRatio | 0.182 | |