| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 28 | | adverbTagCount | 2 | | adverbTags | | 0 | "he said quietly [quietly]" | | 1 | "she said finally [finally]" |
| | dialogueSentences | 67 | | tagDensity | 0.418 | | leniency | 0.836 | | rawRatio | 0.071 | | effectiveRatio | 0.06 | |
| 94.37% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1775 | | 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) | |
| 71.83% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1775 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "measured" | | 1 | "stomach" | | 2 | "weight" | | 3 | "trembled" | | 4 | "familiar" | | 5 | "gleaming" | | 6 | "flicked" | | 7 | "pulse" | | 8 | "throbbed" |
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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 | 1 | | narrationSentences | 128 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 128 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 166 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1780 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 28 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 47 | | wordCount | 1238 | | uniqueNames | 20 | | maxNameDensity | 0.65 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 7 | | Golden | 1 | | Empress | 2 | | Brick | 2 | | Lane | 2 | | South | 1 | | Bank | 1 | | Malphora | 1 | | English | 1 | | Bright | 1 | | Walthamstow | 1 | | Cool-headed | 1 | | Avaros | 1 | | London | 1 | | Downstairs | 1 | | Bollywood | 1 | | Aurora | 8 | | Ptolemy | 4 | | Evan | 3 | | Lucien | 7 |
| | persons | | 0 | "Eva" | | 1 | "Empress" | | 2 | "Downstairs" | | 3 | "Aurora" | | 4 | "Ptolemy" | | 5 | "Evan" | | 6 | "Lucien" |
| | places | | 0 | "Golden" | | 1 | "Brick" | | 2 | "Lane" | | 3 | "English" | | 4 | "Walthamstow" | | 5 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 77 | | glossingSentenceCount | 1 | | matches | | 0 | "as if remembering old pain" |
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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 | 1780 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 166 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 70 | | mean | 25.43 | | std | 19.16 | | cv | 0.753 | | sampleLengths | | 0 | 82 | | 1 | 33 | | 2 | 60 | | 3 | 56 | | 4 | 1 | | 5 | 54 | | 6 | 13 | | 7 | 12 | | 8 | 9 | | 9 | 14 | | 10 | 27 | | 11 | 44 | | 12 | 16 | | 13 | 14 | | 14 | 9 | | 15 | 42 | | 16 | 23 | | 17 | 24 | | 18 | 11 | | 19 | 26 | | 20 | 64 | | 21 | 7 | | 22 | 11 | | 23 | 82 | | 24 | 4 | | 25 | 42 | | 26 | 13 | | 27 | 11 | | 28 | 36 | | 29 | 15 | | 30 | 20 | | 31 | 48 | | 32 | 12 | | 33 | 34 | | 34 | 17 | | 35 | 17 | | 36 | 9 | | 37 | 40 | | 38 | 12 | | 39 | 54 | | 40 | 23 | | 41 | 3 | | 42 | 38 | | 43 | 53 | | 44 | 6 | | 45 | 3 | | 46 | 9 | | 47 | 33 | | 48 | 6 | | 49 | 9 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 128 | | matches | | |
| 53.80% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 228 | | matches | | 0 | "was watching" | | 1 | "wasn't working" | | 2 | "was choosing" | | 3 | "was giving" | | 4 | "was watching" |
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| 91.22% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 166 | | ratio | 0.018 | | matches | | 0 | "The smell of him came first — cedar and cold steel, and something darker underneath." | | 1 | "Instead she felt the familiar, infuriating pull of him — the fixer who always knew where the bodies were buried, the half-demon with the ivory cane that hid a blade, the man who spoke four languages and still couldn't say what he meant in any of them." | | 2 | "The hurt was still there, raw and familiar — the way he'd disappeared for weeks after she'd kissed him, the way he'd said she was too human for his life." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 697 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.03299856527977044 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.011477761836441894 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 166 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 166 | | mean | 10.72 | | std | 8.79 | | cv | 0.82 | | sampleLengths | | 0 | 27 | | 1 | 34 | | 2 | 21 | | 3 | 10 | | 4 | 7 | | 5 | 2 | | 6 | 11 | | 7 | 3 | | 8 | 5 | | 9 | 26 | | 10 | 29 | | 11 | 7 | | 12 | 10 | | 13 | 20 | | 14 | 14 | | 15 | 5 | | 16 | 1 | | 17 | 7 | | 18 | 29 | | 19 | 18 | | 20 | 6 | | 21 | 2 | | 22 | 5 | | 23 | 11 | | 24 | 1 | | 25 | 4 | | 26 | 5 | | 27 | 4 | | 28 | 10 | | 29 | 15 | | 30 | 10 | | 31 | 2 | | 32 | 12 | | 33 | 7 | | 34 | 19 | | 35 | 6 | | 36 | 13 | | 37 | 3 | | 38 | 5 | | 39 | 9 | | 40 | 5 | | 41 | 4 | | 42 | 7 | | 43 | 25 | | 44 | 10 | | 45 | 7 | | 46 | 5 | | 47 | 8 | | 48 | 3 | | 49 | 4 |
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| 41.57% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.2891566265060241 | | totalSentences | 166 | | uniqueOpeners | 48 | |
| 56.98% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 117 | | matches | | 0 | "Bright blue eyes held his" | | 1 | "Instead she felt the familiar," |
| | ratio | 0.017 | |
| 8.03% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 62 | | totalSentences | 117 | | matches | | 0 | "She heard the knock before" | | 1 | "She lived above" | | 2 | "She checked the peephole out" | | 3 | "Her stomach did something stupid" | | 4 | "She hadn't seen him since" | | 5 | "She hadn't unbolted the door" | | 6 | "She slid the first one." | | 7 | "He lifted a hand as" | | 8 | "She unbolted the second." | | 9 | "She opened the door a" | | 10 | "he said in English, soft," | | 11 | "Her voice came out steadier" | | 12 | "She was five-six in socks," | | 13 | "He was five-eleven in polished" | | 14 | "He shifted his weight, the" | | 15 | "He didn't step back" | | 16 | "She didn't move to let" | | 17 | "She hated that he would" | | 18 | "She stopped herself" | | 19 | "It wasn't working." |
| | ratio | 0.53 | |
| 7.01% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 106 | | totalSentences | 117 | | matches | | 0 | "The bell above the curry" | | 1 | "Aurora had been reading at" | | 2 | "Ptolemy was asleep on a" | | 3 | "She heard the knock before" | | 4 | "Eva knocked like she was" | | 5 | "This was measured." | | 6 | "Aurora set the mug down." | | 7 | "The flat was cramped and" | | 8 | "She lived above" | | 9 | "She checked the peephole out" | | 10 | "The hall was dim, lit" | | 11 | "A man stood there in" | | 12 | "Her stomach did something stupid" | | 13 | "She hadn't seen him since" | | 14 | "She hadn't unbolted the door" | | 15 | "She slid the first one." | | 16 | "He lifted a hand as" | | 17 | "She unbolted the second." | | 18 | "Ptolemy opened one green eye." | | 19 | "The third bolt gave." |
| | ratio | 0.906 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 117 | | matches | (empty) | | ratio | 0 | |
| 73.17% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 4 | | matches | | 0 | "The bell above the curry house downstairs had been jingling all afternoon, a thin, constant chime that worked its way up through the floorboards of Eva's flat." | | 1 | "Aurora had been reading at the kitchen table, one ankle hooked over the other knee, a stack of delivery receipts from Golden Empress fanned out beside a chipped…" | | 2 | "Instead she felt the familiar, infuriating pull of him — the fixer who always knew where the bodies were buried, the half-demon with the ivory cane that hid a b…" | | 3 | "He was still impossibly handsome in a way that made her want to be smarter than she was." |
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| 71.43% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 28 | | uselessAdditionCount | 3 | | matches | | 0 | "He shifted, the cane tapping once against the concrete" | | 1 | "He inclined, the platinum hair catching the bulb" | | 2 | "He set, the ivory handle gleaming" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 67 | | tagDensity | 0.134 | | leniency | 0.269 | | rawRatio | 0.111 | | effectiveRatio | 0.03 | |