| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said finally [finally]" |
| | dialogueSentences | 55 | | tagDensity | 0.291 | | leniency | 0.582 | | rawRatio | 0.063 | | effectiveRatio | 0.036 | |
| 92.63% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1356 | | totalAiIsmAdverbs | 2 | | 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) | |
| 88.94% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1356 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "fractured" | | 1 | "silence" | | 2 | "weight" |
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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 | 51 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 51 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 87 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 78 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1362 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 1 | | matches | | 0 | "When they broke apart, her forehead against his, both of them breathing hard, he laughed — a low, unguarded sound she ha…" |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 778 | | uniqueNames | 8 | | maxNameDensity | 0.51 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Ptolemy | 3 | | Moreau | 2 | | Eva | 3 | | Rain | 1 | | Lucien | 4 | | Istanbul | 1 | | Cardiff | 1 | | Eight | 3 |
| | persons | | 0 | "Ptolemy" | | 1 | "Moreau" | | 2 | "Eva" | | 3 | "Lucien" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 78.57% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 35 | | glossingSentenceCount | 1 | | matches | | 0 | "tasted like rain and the tea he hadn't fi" |
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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 | 1362 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 87 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 26.19 | | std | 24.98 | | cv | 0.954 | | sampleLengths | | 0 | 53 | | 1 | 49 | | 2 | 5 | | 3 | 24 | | 4 | 20 | | 5 | 57 | | 6 | 6 | | 7 | 11 | | 8 | 39 | | 9 | 3 | | 10 | 1 | | 11 | 35 | | 12 | 2 | | 13 | 5 | | 14 | 82 | | 15 | 43 | | 16 | 18 | | 17 | 5 | | 18 | 13 | | 19 | 6 | | 20 | 52 | | 21 | 7 | | 22 | 22 | | 23 | 20 | | 24 | 29 | | 25 | 39 | | 26 | 49 | | 27 | 66 | | 28 | 5 | | 29 | 2 | | 30 | 90 | | 31 | 24 | | 32 | 38 | | 33 | 84 | | 34 | 4 | | 35 | 1 | | 36 | 4 | | 37 | 1 | | 38 | 13 | | 39 | 70 | | 40 | 9 | | 41 | 69 | | 42 | 46 | | 43 | 17 | | 44 | 3 | | 45 | 7 | | 46 | 56 | | 47 | 26 | | 48 | 1 | | 49 | 14 |
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| 98.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 51 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 133 | | matches | | |
| 11.49% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 87 | | ratio | 0.046 | | matches | | 0 | "Instead she looked at him — at the wet hair and the exhausted eyes and the cane that hid a blade, at the man who had crossed a city at midnight because he'd finally run out of elegant exits — and the anger she'd been carrying like a coat came off her all at once, leaving her cold and light and terrified." | | 1 | "\"—idiot who bled out in a basement rather than send me one letter.\"" | | 2 | "Eight months of rehearsed cruelty on her side — the speech she'd give him if he ever showed, the cold shoulder, the door in his face — and now he was here, and every line she'd written dissolved on her tongue." | | 3 | "When they broke apart, her forehead against his, both of them breathing hard, he laughed — a low, unguarded sound she had never heard from him." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 743 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.034993270524899055 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.005383580080753701 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 87 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 87 | | mean | 15.66 | | std | 15.07 | | cv | 0.963 | | sampleLengths | | 0 | 17 | | 1 | 36 | | 2 | 24 | | 3 | 6 | | 4 | 19 | | 5 | 5 | | 6 | 12 | | 7 | 12 | | 8 | 3 | | 9 | 17 | | 10 | 14 | | 11 | 43 | | 12 | 6 | | 13 | 11 | | 14 | 26 | | 15 | 13 | | 16 | 3 | | 17 | 1 | | 18 | 21 | | 19 | 14 | | 20 | 2 | | 21 | 5 | | 22 | 5 | | 23 | 24 | | 24 | 16 | | 25 | 4 | | 26 | 33 | | 27 | 3 | | 28 | 13 | | 29 | 27 | | 30 | 9 | | 31 | 9 | | 32 | 5 | | 33 | 13 | | 34 | 6 | | 35 | 29 | | 36 | 23 | | 37 | 7 | | 38 | 18 | | 39 | 4 | | 40 | 13 | | 41 | 7 | | 42 | 29 | | 43 | 10 | | 44 | 19 | | 45 | 10 | | 46 | 5 | | 47 | 3 | | 48 | 41 | | 49 | 8 |
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| 76.25% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.5057471264367817 | | totalSentences | 87 | | uniqueOpeners | 44 | |
| 69.44% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 48 | | matches | | 0 | "Instead she looked at him" |
| | ratio | 0.021 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 48 | | matches | | 0 | "His platinum hair had given" | | 1 | "He inclined his head, water" | | 2 | "She stepped aside." | | 3 | "It was as much surrender" | | 4 | "He moved through the flat" | | 5 | "His cane clicked against the" | | 6 | "He lowered himself into the" | | 7 | "She turned to the kitchenette," | | 8 | "She poured two cups anyway," | | 9 | "He took his with a" | | 10 | "He set his cup down" | | 11 | "She laughed, and it came" | | 12 | "Her heart slammed against her" | | 13 | "She kept her voice level" | | 14 | "He looked at the cat." | | 15 | "he said finally" | | 16 | "His hand had stopped moving" | | 17 | "She set her cup down" | | 18 | "He met her eyes" | | 19 | "She should have made him" |
| | ratio | 0.563 | |
| 43.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 40 | | totalSentences | 48 | | matches | | 0 | "The knock came at half" | | 1 | "Rory set down the scroll" | | 2 | "Lucien Moreau stood in the" | | 3 | "Charcoal suit, soaked at the" | | 4 | "His platinum hair had given" | | 5 | "He inclined his head, water" | | 6 | "She stepped aside." | | 7 | "It was as much surrender" | | 8 | "He moved through the flat" | | 9 | "His cane clicked against the" | | 10 | "He lowered himself into the" | | 11 | "She turned to the kitchenette," | | 12 | "Rain drummed against the window." | | 13 | "Ptolemy jumped onto Lucien's lap" | | 14 | "Rory watched him do it" | | 15 | "The kettle screamed." | | 16 | "She poured two cups anyway," | | 17 | "He took his with a" | | 18 | "The black eye and the" | | 19 | "He set his cup down" |
| | ratio | 0.833 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 48 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 20 | | technicalSentenceCount | 1 | | matches | | 0 | "Instead she looked at him — at the wet hair and the exhausted eyes and the cane that hid a blade, at the man who had crossed a city at midnight because he'd fin…" |
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| 93.75% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 1 | | matches | | 0 | "He inclined, water dripping off his jaw" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 55 | | tagDensity | 0.091 | | leniency | 0.182 | | rawRatio | 0.2 | | effectiveRatio | 0.036 | |