| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 34 | | tagDensity | 0.441 | | leniency | 0.882 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1068 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 34.46% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1068 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "familiar" | | 1 | "weight" | | 2 | "silk" | | 3 | "silence" | | 4 | "predictable" | | 5 | "stomach" | | 6 | "navigated" | | 7 | "grave" | | 8 | "pulse" | | 9 | "tension" | | 10 | "tracing" | | 11 | "whisper" | | 12 | "etched" |
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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 | 67 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 67 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 85 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1065 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 760 | | uniqueNames | 17 | | maxNameDensity | 0.79 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Six" | | discoveredNames | | Eva | 5 | | Moreau | 1 | | Mayfair | 1 | | Marseille | 2 | | French | 1 | | Golden | 1 | | Empress | 1 | | Ptolemy | 3 | | Brick | 1 | | Lane | 1 | | Cardiff | 2 | | Lucien | 6 | | Close | 1 | | University | 1 | | London | 1 | | Evan | 1 | | Six | 3 |
| | persons | | 0 | "Eva" | | 1 | "Moreau" | | 2 | "French" | | 3 | "Ptolemy" | | 4 | "Lucien" | | 5 | "Evan" |
| | places | | 0 | "Marseille" | | 1 | "Brick" | | 2 | "Lane" | | 3 | "Cardiff" | | 4 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.939 | | wordCount | 1065 | | matches | | 0 | "not with height but with presence, the way smoke saturates a room" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 85 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 28.78 | | std | 18.59 | | cv | 0.646 | | sampleLengths | | 0 | 32 | | 1 | 5 | | 2 | 25 | | 3 | 58 | | 4 | 9 | | 5 | 33 | | 6 | 54 | | 7 | 5 | | 8 | 11 | | 9 | 28 | | 10 | 39 | | 11 | 8 | | 12 | 54 | | 13 | 43 | | 14 | 31 | | 15 | 25 | | 16 | 6 | | 17 | 37 | | 18 | 3 | | 19 | 40 | | 20 | 44 | | 21 | 62 | | 22 | 52 | | 23 | 9 | | 24 | 43 | | 25 | 30 | | 26 | 31 | | 27 | 70 | | 28 | 20 | | 29 | 13 | | 30 | 11 | | 31 | 9 | | 32 | 45 | | 33 | 34 | | 34 | 2 | | 35 | 35 | | 36 | 9 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 67 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 129 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 85 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 762 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.023622047244094488 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.009186351706036745 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 85 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 85 | | mean | 12.53 | | std | 8.39 | | cv | 0.669 | | sampleLengths | | 0 | 9 | | 1 | 23 | | 2 | 5 | | 3 | 18 | | 4 | 7 | | 5 | 6 | | 6 | 2 | | 7 | 24 | | 8 | 26 | | 9 | 4 | | 10 | 5 | | 11 | 12 | | 12 | 12 | | 13 | 9 | | 14 | 10 | | 15 | 10 | | 16 | 34 | | 17 | 5 | | 18 | 5 | | 19 | 6 | | 20 | 12 | | 21 | 10 | | 22 | 6 | | 23 | 6 | | 24 | 33 | | 25 | 8 | | 26 | 6 | | 27 | 17 | | 28 | 31 | | 29 | 20 | | 30 | 12 | | 31 | 11 | | 32 | 19 | | 33 | 12 | | 34 | 6 | | 35 | 19 | | 36 | 6 | | 37 | 7 | | 38 | 1 | | 39 | 21 | | 40 | 4 | | 41 | 4 | | 42 | 3 | | 43 | 16 | | 44 | 24 | | 45 | 4 | | 46 | 21 | | 47 | 19 | | 48 | 8 | | 49 | 22 |
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| 70.98% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4470588235294118 | | totalSentences | 85 | | uniqueOpeners | 38 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 60 | | matches | | 0 | "Instead, charcoal wool and bergamot." | | 1 | "Instead, I watched him step" |
| | ratio | 0.033 | |
| 73.33% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 60 | | matches | | 0 | "I hauled the door open," | | 1 | "My fingers whitened on the" | | 2 | "My stomach turned to ice." | | 3 | "He adjusted his grip on" | | 4 | "I should have slammed the" | | 5 | "He navigated the teetering piles" | | 6 | "He picked up a clay" | | 7 | "I leaned against the door," | | 8 | "He turned, and for a" | | 9 | "He moved closer, shedding the" | | 10 | "My breath came short." | | 11 | "His charcoal suit hung differently" | | 12 | "I remembered the bruises." | | 13 | "My father's disappointed letters asking" | | 14 | "He reached out, gloved thumb" | | 15 | "I should have pulled away." | | 16 | "My voice cracked" | | 17 | "His laugh was sharp as" | | 18 | "He gripped my chin, forcing" | | 19 | "His thumb pressed against my" |
| | ratio | 0.367 | |
| 43.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 50 | | totalSentences | 60 | | matches | | 0 | "The third deadbolt gave way" | | 1 | "I hauled the door open," | | 2 | "Lucien Moreau leaned on his" | | 3 | "My fingers whitened on the" | | 4 | "The amber eye glimmered with" | | 5 | "The black one, dull as" | | 6 | "Stacks of Eva's research papers" | | 7 | "My stomach turned to ice." | | 8 | "He adjusted his grip on" | | 9 | "The motion revealed the blade" | | 10 | "I should have slammed the" | | 11 | "Every instinct honed during my" | | 12 | "The flat shrank with him" | | 13 | "He navigated the teetering piles" | | 14 | "He picked up a clay" | | 15 | "The jar contained grave dirt" | | 16 | "I leaned against the door," | | 17 | "The jar clicked back into" | | 18 | "He turned, and for a" | | 19 | "The alias hit like a" |
| | ratio | 0.833 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 60 | | matches | (empty) | | ratio | 0 | |
| 47.62% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 4 | | matches | | 0 | "Three days I'd spent pent up in this cramped Brick Lane flat, surrounded by grimoires and the smell of madras rising through the floorboards, trying to outthink…" | | 1 | "The jar contained grave dirt and something that chirped resentfully when disturbed." | | 2 | "The crescent scar on my left wrist ached, a phantom pulse of the childhood accident that had nearly taken my hand." | | 3 | "Lucien shoved me behind him as the bedroom door splintered inward, and something that wore Evan's face but moved with too many joints spilled into the lamplight…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 34 | | tagDensity | 0.176 | | leniency | 0.353 | | rawRatio | 0.167 | | effectiveRatio | 0.059 | |