| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 59 | | tagDensity | 0.339 | | leniency | 0.678 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.91% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1620 | | totalAiIsmAdverbs | 1 | | 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) | |
| 41.36% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1620 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "echoed" | | 1 | "rhythmic" | | 2 | "echoing" | | 3 | "scanning" | | 4 | "silk" | | 5 | "pulse" | | 6 | "marble" | | 7 | "ensure" | | 8 | "racing" | | 9 | "echoes" | | 10 | "structure" | | 11 | "velvet" | | 12 | "tracing" | | 13 | "loomed" | | 14 | "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 | 79 | | matches | (empty) | |
| 88.61% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 79 | | filterMatches | (empty) | | hedgeMatches | | 0 | "began to" | | 1 | "tended to" | | 2 | "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 | 118 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1601 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 990 | | uniqueNames | 11 | | maxNameDensity | 0.71 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Brick | 2 | | Lane | 2 | | Moreau | 1 | | Avaros | 1 | | Lucien | 7 | | One | 2 | | London | 1 | | Ptolemy | 2 | | Severn | 1 | | Marseille | 1 | | Cardiff | 1 |
| | persons | | 0 | "Moreau" | | 1 | "Lucien" | | 2 | "One" | | 3 | "Ptolemy" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "London" | | 3 | "Marseille" | | 4 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 77.54% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | glossingSentenceCount | 2 | | matches | | 0 | "smelled like the cold Marseille docks and" | | 1 | "felt like I was exactly where I was sup" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.625 | | wordCount | 1601 | | matches | | 0 | "not the usual drunken brawls, but something deeper, more guttural" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 118 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 63 | | mean | 25.41 | | std | 18.98 | | cv | 0.747 | | sampleLengths | | 0 | 45 | | 1 | 64 | | 2 | 6 | | 3 | 37 | | 4 | 6 | | 5 | 15 | | 6 | 63 | | 7 | 33 | | 8 | 64 | | 9 | 51 | | 10 | 18 | | 11 | 52 | | 12 | 10 | | 13 | 13 | | 14 | 7 | | 15 | 9 | | 16 | 78 | | 17 | 28 | | 18 | 11 | | 19 | 14 | | 20 | 30 | | 21 | 25 | | 22 | 11 | | 23 | 48 | | 24 | 17 | | 25 | 26 | | 26 | 37 | | 27 | 28 | | 28 | 5 | | 29 | 29 | | 30 | 41 | | 31 | 49 | | 32 | 9 | | 33 | 9 | | 34 | 27 | | 35 | 13 | | 36 | 5 | | 37 | 34 | | 38 | 49 | | 39 | 45 | | 40 | 15 | | 41 | 7 | | 42 | 27 | | 43 | 11 | | 44 | 2 | | 45 | 2 | | 46 | 70 | | 47 | 14 | | 48 | 14 | | 49 | 7 |
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| 96.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 79 | | matches | | 0 | "was slicked" | | 1 | "was supposed" |
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| 71.79% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 156 | | matches | | 0 | "was holding" | | 1 | "was starting" | | 2 | "was suffocating" |
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| 46.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 2 | | flaggedSentences | 4 | | totalSentences | 118 | | ratio | 0.034 | | matches | | 0 | "The scent of him hit me instantly—expensive tobacco, sandalwood, and the faint, ozone tang of Avaros that always clung to his skin like a second shadow." | | 1 | "One amber, bright and feline; the other blacker than a London midnight." | | 2 | "He didn't look at me; he looked at the shallow slice across my palm." | | 3 | "Shouts followed—not the usual drunken brawls, but something deeper, more guttural." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1002 | | adjectiveStacks | 2 | | stackExamples | | 0 | "small crescent-shaped scar" | | 1 | "peeling mint-green paint." |
| | adverbCount | 31 | | adverbRatio | 0.03093812375249501 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.00998003992015968 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 118 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 118 | | mean | 13.57 | | std | 7.48 | | cv | 0.552 | | sampleLengths | | 0 | 19 | | 1 | 26 | | 2 | 10 | | 3 | 26 | | 4 | 28 | | 5 | 6 | | 6 | 3 | | 7 | 12 | | 8 | 22 | | 9 | 6 | | 10 | 15 | | 11 | 10 | | 12 | 26 | | 13 | 27 | | 14 | 21 | | 15 | 12 | | 16 | 13 | | 17 | 12 | | 18 | 24 | | 19 | 15 | | 20 | 15 | | 21 | 11 | | 22 | 25 | | 23 | 18 | | 24 | 25 | | 25 | 14 | | 26 | 13 | | 27 | 10 | | 28 | 13 | | 29 | 7 | | 30 | 9 | | 31 | 9 | | 32 | 13 | | 33 | 22 | | 34 | 8 | | 35 | 26 | | 36 | 18 | | 37 | 10 | | 38 | 11 | | 39 | 10 | | 40 | 4 | | 41 | 30 | | 42 | 25 | | 43 | 11 | | 44 | 11 | | 45 | 17 | | 46 | 14 | | 47 | 6 | | 48 | 4 | | 49 | 13 |
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| 41.81% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.3220338983050847 | | totalSentences | 118 | | uniqueOpeners | 38 | |
| 46.95% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 71 | | matches | | 0 | "Instead, I leaned into the" |
| | ratio | 0.014 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 42 | | totalSentences | 71 | | matches | | 0 | "I pulled the door open," | | 1 | "He looked exactly as he" | | 2 | "I looked down." | | 3 | "I’d forgotten the kitchen knife" | | 4 | "He stepped over the threshold" | | 5 | "He moved with a predatory" | | 6 | "I shut the door, the" | | 7 | "They drifted over the stacks" | | 8 | "I leaned against the door," | | 9 | "He reached out, his gloved" | | 10 | "His touch was cool, but" | | 11 | "He didn't look at me;" | | 12 | "I snapped, though my voice" | | 13 | "He began to wrap the" | | 14 | "His movements were clinical, precise," | | 15 | "I felt my heart hammer" | | 16 | "We stood too close in" | | 17 | "I could see the fine" | | 18 | "he murmured, his voice a" | | 19 | "He tightened the knot" |
| | ratio | 0.592 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 71 | | matches | | 0 | "The third deadbolt groaned, a" | | 1 | "I pulled the door open," | | 2 | "Lucien Moreau stood in the" | | 3 | "He looked exactly as he" | | 4 | "The ivory handle of his" | | 5 | "I looked down." | | 6 | "A dark, rhythmic drip-drop hit" | | 7 | "I’d forgotten the kitchen knife" | | 8 | "He stepped over the threshold" | | 9 | "The scent of him hit" | | 10 | "He moved with a predatory" | | 11 | "I shut the door, the" | | 12 | "Lucien turned, his heterochromatic eyes" | | 13 | "They drifted over the stacks" | | 14 | "I leaned against the door," | | 15 | "The sting was starting to" | | 16 | "He reached out, his gloved" | | 17 | "His touch was cool, but" | | 18 | "He didn't look at me;" | | 19 | "I snapped, though my voice" |
| | ratio | 0.93 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 71 | | matches | (empty) | | ratio | 0 | |
| 74.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 4 | | matches | | 0 | "The third deadbolt groaned, a stubborn, metallic protest that echoed through the narrow hallway of the Brick Lane flat." | | 1 | "They drifted over the stacks of yellowed scrolls, the overflowing bookshelves, and Ptolemy, who was currently sharpening his claws on a rare seventeenth-century…" | | 2 | "His touch was cool, but there was a hum beneath it, a vibration of power that made the small crescent-shaped scar on my wrist itch." | | 3 | "It exploded inward, the wood screaming as it gave way to a force that wasn't human." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 7 | | matches | | 0 | "I shut, the finality of the clicks echoing in the cramped space" | | 1 | "Lucien turned, his heterochromatic eyes scanning the room" | | 2 | "I snapped, though my voice lacked its usual bite" | | 3 | "he murmured, his voice a low, melodic vibration" | | 4 | "I walked, my boots thumping on the linoleum" | | 5 | "he noted, his voice dropping to a velvet caress" | | 6 | "Lucien said, his face hardening into a mask of cold, professional violence" |
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| 31.36% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 7 | | fancyTags | | 0 | "I snapped (snap)" | | 1 | "he murmured (murmur)" | | 2 | "he conceded (concede)" | | 3 | "he hissed (hiss)" | | 4 | "he noted (note)" | | 5 | "I whispered (whisper)" | | 6 | "he corrected (correct)" |
| | dialogueSentences | 59 | | tagDensity | 0.186 | | leniency | 0.373 | | rawRatio | 0.636 | | effectiveRatio | 0.237 | |