| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 86 | | tagDensity | 0.267 | | leniency | 0.535 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 78.17% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1603 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "tightly" | | 1 | "quickly" | | 2 | "very" | | 3 | "carefully" | | 4 | "slowly" |
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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) | |
| 90.64% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1603 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "warmth" | | 1 | "silence" | | 2 | "flicker" |
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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 | 56 | | matches | (empty) | |
| 91.84% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 56 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 118 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 135 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1611 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 31 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 715 | | uniqueNames | 11 | | maxNameDensity | 2.24 | | worstName | "Eva" | | maxWindowNameDensity | 4 | | worstWindowName | "Eva" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Silas | 7 | | January | 1 | | Danube | 1 | | Yu-Fei | 1 | | Rory | 13 | | Eva | 16 | | Cowbridge | 1 | | Road | 1 | | Penarth | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Rory" | | 4 | "Eva" |
| | places | | 0 | "Danube" | | 1 | "Cowbridge" | | 2 | "Road" | | 3 | "Penarth" |
| | globalScore | 0.381 | | windowScore | 0.333 | |
| 80.56% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 36 | | glossingSentenceCount | 1 | | matches | | 0 | "smelled like the inside of a car showroom" |
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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 | 1611 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 118 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 86 | | mean | 18.73 | | std | 24.05 | | cv | 1.284 | | sampleLengths | | 0 | 57 | | 1 | 16 | | 2 | 47 | | 3 | 3 | | 4 | 22 | | 5 | 35 | | 6 | 1 | | 7 | 26 | | 8 | 1 | | 9 | 3 | | 10 | 34 | | 11 | 3 | | 12 | 3 | | 13 | 71 | | 14 | 4 | | 15 | 4 | | 16 | 3 | | 17 | 35 | | 18 | 5 | | 19 | 4 | | 20 | 6 | | 21 | 53 | | 22 | 25 | | 23 | 5 | | 24 | 3 | | 25 | 6 | | 26 | 40 | | 27 | 4 | | 28 | 4 | | 29 | 40 | | 30 | 23 | | 31 | 2 | | 32 | 47 | | 33 | 10 | | 34 | 22 | | 35 | 39 | | 36 | 7 | | 37 | 7 | | 38 | 4 | | 39 | 41 | | 40 | 24 | | 41 | 5 | | 42 | 1 | | 43 | 4 | | 44 | 36 | | 45 | 4 | | 46 | 7 | | 47 | 19 | | 48 | 4 | | 49 | 2 |
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| 99.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 56 | | matches | | |
| 41.27% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 126 | | matches | | 0 | "were reading" | | 1 | "was drying" | | 2 | "were holding" |
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| 70.22% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 118 | | ratio | 0.025 | | matches | | 0 | "For a second nothing happened in her face at all, and then something did — a small collapse, quickly repaired." | | 1 | "\"You didn't,\" Eva said, and there it was — the ghost of the girl who used to nick her brother's cider and drink it on the sea wall at Penarth." | | 2 | "Outside, the neon caught, held, and went out; caught again." |
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| 93.45% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 716 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.04748603351955307 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.012569832402234637 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 118 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 118 | | mean | 13.65 | | std | 17.25 | | cv | 1.264 | | sampleLengths | | 0 | 21 | | 1 | 36 | | 2 | 16 | | 3 | 3 | | 4 | 14 | | 5 | 30 | | 6 | 3 | | 7 | 3 | | 8 | 19 | | 9 | 35 | | 10 | 1 | | 11 | 6 | | 12 | 20 | | 13 | 1 | | 14 | 3 | | 15 | 12 | | 16 | 22 | | 17 | 3 | | 18 | 3 | | 19 | 14 | | 20 | 32 | | 21 | 15 | | 22 | 10 | | 23 | 4 | | 24 | 4 | | 25 | 3 | | 26 | 35 | | 27 | 5 | | 28 | 4 | | 29 | 6 | | 30 | 18 | | 31 | 35 | | 32 | 7 | | 33 | 10 | | 34 | 8 | | 35 | 5 | | 36 | 3 | | 37 | 6 | | 38 | 34 | | 39 | 6 | | 40 | 4 | | 41 | 4 | | 42 | 40 | | 43 | 5 | | 44 | 11 | | 45 | 7 | | 46 | 2 | | 47 | 47 | | 48 | 10 | | 49 | 22 |
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| 52.54% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.3813559322033898 | | totalSentences | 118 | | uniqueOpeners | 45 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 47 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 47 | | matches | | 0 | "He noticed the woman in" | | 1 | "She came in." | | 2 | "She took the stool at" | | 3 | "He poured it." | | 4 | "She paid in cash, which" | | 5 | "She looked at Silas, who" | | 6 | "She laughed, one syllable, no" | | 7 | "It felt aggressive, doing it," | | 8 | "It surfaced and went under" | | 9 | "she nodded at the cellar" | | 10 | "Her hand stayed flat on" | | 11 | "She gestured at the two" | | 12 | "She reached up finally and" |
| | ratio | 0.277 | |
| 2.55% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 43 | | totalSentences | 47 | | matches | | 0 | "The green neon above the" | | 1 | "He noticed the woman in" | | 2 | "Silas said, without looking up" | | 3 | "She came in." | | 4 | "Camel coat, good boots, hair" | | 5 | "She took the stool at" | | 6 | "He poured it." | | 7 | "She paid in cash, which" | | 8 | "Aurora came down the back" | | 9 | "The woman turned on the" | | 10 | "Eva turned the glass a" | | 11 | "Rory set the bag down" | | 12 | "She looked at Silas, who" | | 13 | "Eva used to smell like" | | 14 | "Eva finished the whisky and" | | 15 | "Eva said it flatly, like" | | 16 | "Rory's hand went to her" | | 17 | "Eva watched her do it" | | 18 | "She laughed, one syllable, no" | | 19 | "Silas moved down the bar" |
| | ratio | 0.915 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 47 | | matches | | 0 | "Now she smelled like the" |
| | ratio | 0.021 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | technicalSentenceCount | 1 | | matches | | 0 | "She looked at Silas, who had developed an urgent interest in the till, and then she crossed the room and took the stool beside Eva's, and the smell of her was w…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 3 | | fancyTags | | 0 | "Eva finished (finish)" | | 1 | "She laughed (laugh)" | | 2 | "Rory's thumb pressed (press)" |
| | dialogueSentences | 86 | | tagDensity | 0.163 | | leniency | 0.326 | | rawRatio | 0.214 | | effectiveRatio | 0.07 | |