| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 25 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 166 | | tagDensity | 0.151 | | leniency | 0.301 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.10% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2531 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "very" | | 1 | "quickly" | | 2 | "slowly" |
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| 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) | |
| 82.22% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2531 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "charm" | | 1 | "flicker" | | 2 | "weight" | | 3 | "firmly" | | 4 | "unsettled" | | 5 | "silence" | | 6 | "familiar" | | 7 | "glint" | | 8 | "warmth" |
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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 | 154 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 154 | | filterMatches | | | hedgeMatches | | 0 | "started to" | | 1 | "seemed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 295 | | 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 | 2531 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 39 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 46 | | wordCount | 1436 | | uniqueNames | 8 | | maxNameDensity | 1.53 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Lucien | 12 | | Moreau | 1 | | Rory | 22 | | Ptolemy | 4 | | Eva | 4 | | London | 1 | | Brick | 1 | | Lane | 1 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Rory" | | 3 | "Ptolemy" | | 4 | "Eva" |
| | places | | | globalScore | 0.734 | | windowScore | 0.5 | |
| 96.24% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 93 | | glossingSentenceCount | 2 | | matches | | 0 | "seemed smaller with him in it" | | 1 | "looked like the Lucien she remembered: th" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.395 | | wordCount | 2531 | | matches | | 0 | "not gone but no longer alone" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 295 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 180 | | mean | 14.06 | | std | 16.25 | | cv | 1.156 | | sampleLengths | | 0 | 16 | | 1 | 53 | | 2 | 8 | | 3 | 21 | | 4 | 2 | | 5 | 43 | | 6 | 35 | | 7 | 6 | | 8 | 12 | | 9 | 5 | | 10 | 12 | | 11 | 2 | | 12 | 16 | | 13 | 47 | | 14 | 6 | | 15 | 4 | | 16 | 6 | | 17 | 2 | | 18 | 4 | | 19 | 2 | | 20 | 5 | | 21 | 49 | | 22 | 10 | | 23 | 6 | | 24 | 19 | | 25 | 1 | | 26 | 1 | | 27 | 37 | | 28 | 7 | | 29 | 5 | | 30 | 92 | | 31 | 8 | | 32 | 10 | | 33 | 14 | | 34 | 17 | | 35 | 20 | | 36 | 11 | | 37 | 3 | | 38 | 13 | | 39 | 1 | | 40 | 10 | | 41 | 15 | | 42 | 22 | | 43 | 3 | | 44 | 81 | | 45 | 5 | | 46 | 4 | | 47 | 7 | | 48 | 6 | | 49 | 8 |
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| 98.43% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 154 | | matches | | 0 | "was planted" | | 1 | "being asked" | | 2 | "was creased" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 261 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 295 | | ratio | 0.003 | | matches | | 0 | "The curry house beneath Eva’s flat sent up its warm, spiced smell through the floorboards; the landing itself carried only damp stone and the faint metallic tang of London rain." |
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| 99.68% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1437 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 58 | | adverbRatio | 0.04036186499652053 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.0055671537926235215 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 295 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 295 | | mean | 8.58 | | std | 7.1 | | cv | 0.828 | | sampleLengths | | 0 | 16 | | 1 | 25 | | 2 | 16 | | 3 | 12 | | 4 | 8 | | 5 | 10 | | 6 | 7 | | 7 | 4 | | 8 | 2 | | 9 | 7 | | 10 | 19 | | 11 | 6 | | 12 | 11 | | 13 | 18 | | 14 | 17 | | 15 | 3 | | 16 | 3 | | 17 | 12 | | 18 | 5 | | 19 | 12 | | 20 | 2 | | 21 | 3 | | 22 | 6 | | 23 | 7 | | 24 | 9 | | 25 | 8 | | 26 | 30 | | 27 | 6 | | 28 | 4 | | 29 | 6 | | 30 | 2 | | 31 | 4 | | 32 | 2 | | 33 | 5 | | 34 | 4 | | 35 | 26 | | 36 | 5 | | 37 | 14 | | 38 | 10 | | 39 | 6 | | 40 | 6 | | 41 | 2 | | 42 | 7 | | 43 | 4 | | 44 | 1 | | 45 | 1 | | 46 | 10 | | 47 | 3 | | 48 | 6 | | 49 | 9 |
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| 43.22% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 20 | | diversityRatio | 0.2271186440677966 | | totalSentences | 295 | | uniqueOpeners | 67 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 131 | | matches | | 0 | "Then Rory’s fingers tightened around" | | 1 | "Just the truth." | | 2 | "More than that, she hated" | | 3 | "Then the next morning, the" | | 4 | "Instead, she caught the front" | | 5 | "Then the old hurt came" |
| | ratio | 0.046 | |
| 55.11% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 54 | | totalSentences | 131 | | matches | | 0 | "He stood on the landing" | | 1 | "His platinum hair remained slicked" | | 2 | "It was not the answer" | | 3 | "She had prepared for charm," | | 4 | "His voice held none of" | | 5 | "It was low, roughened by" | | 6 | "She started to close the" | | 7 | "Her hand stopped." | | 8 | "She looked past his shoulder" | | 9 | "He lowered his gaze." | | 10 | "It made him look less" | | 11 | "She hated more that part" | | 12 | "She studied him." | | 13 | "He was damp, but not" | | 14 | "His cane was planted firmly" | | 15 | "His free hand hung open" | | 16 | "His eyes lifted to hers." | | 17 | "He took a breath" | | 18 | "She kept her face still." | | 19 | "Her gaze snapped to his." |
| | ratio | 0.412 | |
| 59.24% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 105 | | totalSentences | 131 | | matches | | 0 | "The door opened on Lucien" | | 1 | "He stood on the landing" | | 2 | "His platinum hair remained slicked" | | 3 | "The amber eye and the" | | 4 | "The crescent scar on her" | | 5 | "It was not the answer" | | 6 | "She had prepared for charm," | | 7 | "His voice held none of" | | 8 | "It was low, roughened by" | | 9 | "The cat had been less" | | 10 | "Lucien glanced down." | | 11 | "She started to close the" | | 12 | "Her hand stopped." | | 13 | "She looked past his shoulder" | | 14 | "The curry house beneath Eva’s" | | 15 | "He lowered his gaze." | | 16 | "It made him look less" | | 17 | "Rory hated that she noticed." | | 18 | "She hated more that part" | | 19 | "A brief flicker crossed his" |
| | ratio | 0.802 | |
| 38.17% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 131 | | matches | | 0 | "Because she heard the strain" |
| | ratio | 0.008 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 2 | | matches | | 0 | "Every surface was crowded with books, scrolls, notebooks, and Eva’s research notes, stacked in precarious towers that gave the place the air of a library caught…" | | 1 | "She remembered his mouth against hers in the narrow passage behind the printworks, his hand careful at her waist, the sudden hesitation before he’d kissed her a…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 25 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 166 | | tagDensity | 0.09 | | leniency | 0.181 | | rawRatio | 0 | | effectiveRatio | 0 | |