| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 1 | | adverbTags | | 0 | "She stepped back [back]" |
| | dialogueSentences | 39 | | tagDensity | 0.41 | | leniency | 0.821 | | rawRatio | 0.063 | | effectiveRatio | 0.051 | |
| 91.01% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1669 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "very" | | 1 | "suddenly" | | 2 | "tightly" |
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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) | |
| 61.05% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1669 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "pulse" | | 1 | "silence" | | 2 | "traced" | | 3 | "fluttered" | | 4 | "scanning" | | 5 | "treacherous" | | 6 | "stomach" | | 7 | "weight" | | 8 | "etched" | | 9 | "footsteps" | | 10 | "gleaming" |
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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 | 97 | | matches | (empty) | |
| 98.67% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 97 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 119 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1669 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 1210 | | uniqueNames | 9 | | maxNameDensity | 0.83 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 2 | | Marseille | 1 | | Lucien | 10 | | Aurora | 8 | | Silas | 1 | | Cardiff | 1 | | Evan | 2 | | Avaros | 1 | | Ptolemy | 3 |
| | persons | | 0 | "Eva" | | 1 | "Lucien" | | 2 | "Aurora" | | 3 | "Silas" | | 4 | "Evan" | | 5 | "Ptolemy" |
| | places | | 0 | "Marseille" | | 1 | "Cardiff" | | 2 | "Avaros" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 79 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1669 | | matches | (empty) | |
| 54.62% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 4 | | totalSentences | 119 | | matches | | 0 | "chose that moment" | | 1 | "hated that he" | | 2 | "removed that threat" | | 3 | "chose that moment" |
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| 95.62% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 38.81 | | std | 18.81 | | cv | 0.485 | | sampleLengths | | 0 | 11 | | 1 | 49 | | 2 | 16 | | 3 | 27 | | 4 | 54 | | 5 | 9 | | 6 | 57 | | 7 | 42 | | 8 | 24 | | 9 | 66 | | 10 | 35 | | 11 | 38 | | 12 | 44 | | 13 | 43 | | 14 | 36 | | 15 | 84 | | 16 | 40 | | 17 | 48 | | 18 | 34 | | 19 | 11 | | 20 | 46 | | 21 | 46 | | 22 | 29 | | 23 | 44 | | 24 | 56 | | 25 | 72 | | 26 | 53 | | 27 | 59 | | 28 | 41 | | 29 | 50 | | 30 | 52 | | 31 | 26 | | 32 | 32 | | 33 | 71 | | 34 | 60 | | 35 | 14 | | 36 | 29 | | 37 | 8 | | 38 | 32 | | 39 | 33 | | 40 | 38 | | 41 | 7 | | 42 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 97 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 199 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 119 | | ratio | 0 | | matches | (empty) | |
| 99.68% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1214 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 49 | | adverbRatio | 0.04036243822075782 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.009884678747940691 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 119 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 119 | | mean | 14.03 | | std | 8.23 | | cv | 0.587 | | sampleLengths | | 0 | 11 | | 1 | 14 | | 2 | 16 | | 3 | 19 | | 4 | 16 | | 5 | 6 | | 6 | 13 | | 7 | 8 | | 8 | 17 | | 9 | 20 | | 10 | 17 | | 11 | 9 | | 12 | 9 | | 13 | 2 | | 14 | 21 | | 15 | 25 | | 16 | 7 | | 17 | 12 | | 18 | 23 | | 19 | 20 | | 20 | 4 | | 21 | 8 | | 22 | 17 | | 23 | 12 | | 24 | 29 | | 25 | 16 | | 26 | 19 | | 27 | 4 | | 28 | 3 | | 29 | 26 | | 30 | 5 | | 31 | 6 | | 32 | 7 | | 33 | 31 | | 34 | 4 | | 35 | 4 | | 36 | 20 | | 37 | 15 | | 38 | 14 | | 39 | 22 | | 40 | 7 | | 41 | 28 | | 42 | 12 | | 43 | 19 | | 44 | 5 | | 45 | 13 | | 46 | 20 | | 47 | 20 | | 48 | 5 | | 49 | 25 |
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| 52.38% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3445378151260504 | | totalSentences | 119 | | uniqueOpeners | 41 | |
| 71.68% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 93 | | matches | | 0 | "Instead he tracked her movements" | | 1 | "Then the sound of heavy" |
| | ratio | 0.022 | |
| 56.56% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 93 | | matches | | 0 | "His ivory cane rested against" | | 1 | "Her pulse slammed against her" | | 2 | "She tightened her grip on" | | 3 | "He tilted his head a" | | 4 | "She stepped back but left" | | 5 | "He moved inside, the faint" | | 6 | "He set the cane against" | | 7 | "Her shoulder-length black hair fell" | | 8 | "She hated that he could" | | 9 | "She slapped the papers onto" | | 10 | "He never did." | | 11 | "She laughed, sharp and short" | | 12 | "He advanced a step." | | 13 | "She refused to retreat." | | 14 | "He had traced it once," | | 15 | "His voice dropped, the cultured" | | 16 | "She found none, only the" | | 17 | "She gestured at the chaos" | | 18 | "He closed the remaining distance." | | 19 | "His hand rose, hesitated, then" |
| | ratio | 0.409 | |
| 3.01% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 85 | | totalSentences | 93 | | matches | | 0 | "Aurora wrenched the final deadbolt" | | 1 | "Lucien filled the narrow landing," | | 2 | "Those mismatched eyes pinned her" | | 3 | "His ivory cane rested against" | | 4 | "The single word rolled out" | | 5 | "Her pulse slammed against her" | | 6 | "She tightened her grip on" | | 7 | "He tilted his head a" | | 8 | "Ptolemy chose that moment to" | | 9 | "Lucien reached down without breaking" | | 10 | "She stepped back but left" | | 11 | "He moved inside, the faint" | | 12 | "The flat swallowed him whole," | | 13 | "Aurora shut the door harder" | | 14 | "The three deadbolts stared at" | | 15 | "He set the cane against" | | 16 | "The words landed between them" | | 17 | "Aurora turned away, busying her" | | 18 | "Her shoulder-length black hair fell" | | 19 | "She hated that he could" |
| | ratio | 0.914 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 93 | | matches | (empty) | | ratio | 0 | |
| 55.39% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 6 | | matches | | 0 | "His ivory cane rested against his thigh as if he had every right to appear on Eva's doorstep uninvited." | | 1 | "The flat swallowed him whole, its walls already lined floor to ceiling with Eva's books and half-unrolled scrolls that smelled of ink and old vellum." | | 2 | "Instead he tracked her movements with those unnatural eyes, the amber one glittering with something that might have been regret if demons were capable of it." | | 3 | "Lucien had removed that threat with clinical efficiency and then stayed for whisky and conversation that stretched until dawn." | | 4 | "Ptolemy chose that moment to leap onto the nearest bookshelf, dislodging a cascade of papers that fluttered around their feet like surrender flags." | | 5 | "The books, the cat, the threat of Evan, all of it faded beneath the taste of him, smoke and spice and something darker that belonged only to Avaros." |
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| 93.75% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 1 | | matches | | 0 | "Lucien's grip tightened, not enough to hurt, just enough to anchor her" |
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| 98.72% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "She laughed (laugh)" | | 1 | "he whispered (whisper)" |
| | dialogueSentences | 39 | | tagDensity | 0.051 | | leniency | 0.103 | | rawRatio | 1 | | effectiveRatio | 0.103 | |