| 94.74% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 2 | | adverbTags | | 0 | "black eye darkened further [further]" | | 1 | "She pulled back [back]" |
| | dialogueSentences | 38 | | tagDensity | 0.395 | | leniency | 0.789 | | rawRatio | 0.133 | | effectiveRatio | 0.105 | |
| 92.14% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1272 | | 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) | |
| 25.31% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1272 | | totalAiIsms | 19 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "gleaming" | | 1 | "sentinels" | | 2 | "chaotic" | | 3 | "scanned" | | 4 | "pulse" | | 5 | "quickened" | | 6 | "stomach" | | 7 | "silence" | | 8 | "encounter" | | 9 | "pawn" | | 10 | "echo" | | 11 | "tension" | | 12 | "disrupting" | | 13 | "perfect" | | 14 | "whisper" | | 15 | "enigma" | | 16 | "tracing" | | 17 | "vibrated" |
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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 | 75 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 75 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 99 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1254 | | 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 | 33 | | wordCount | 954 | | uniqueNames | 13 | | maxNameDensity | 0.73 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 7 | | Moreau | 1 | | Marseille | 1 | | Eva | 4 | | Evan | 2 | | London | 2 | | Lucien | 7 | | Mayfair | 1 | | Cardiff | 1 | | Yu-Fei | 1 | | Brick | 1 | | Lane | 1 | | Ptolemy | 4 |
| | persons | | 0 | "Rory" | | 1 | "Moreau" | | 2 | "Eva" | | 3 | "Evan" | | 4 | "Lucien" | | 5 | "Yu-Fei" | | 6 | "Ptolemy" |
| | places | | 0 | "Marseille" | | 1 | "London" | | 2 | "Cardiff" | | 3 | "Brick" | | 4 | "Lane" |
| | globalScore | 1 | | windowScore | 1 | |
| 74.24% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 2 | | matches | | 0 | "not quite inviting him in, but not slamming the door either" | | 1 | "as if judging the tension" |
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| 40.51% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.595 | | wordCount | 1254 | | matches | | 0 | "not quite inviting him in, but not slamming the door either" | | 1 | "not from the curry house below, but something deeper, unnatural" |
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| 99.33% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 99 | | matches | | 0 | "chose that moment" | | 1 | "bury that chapter" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 38 | | std | 21.51 | | cv | 0.566 | | sampleLengths | | 0 | 61 | | 1 | 27 | | 2 | 50 | | 3 | 23 | | 4 | 81 | | 5 | 30 | | 6 | 42 | | 7 | 58 | | 8 | 95 | | 9 | 42 | | 10 | 51 | | 11 | 21 | | 12 | 44 | | 13 | 19 | | 14 | 98 | | 15 | 38 | | 16 | 23 | | 17 | 22 | | 18 | 16 | | 19 | 22 | | 20 | 36 | | 21 | 45 | | 22 | 48 | | 23 | 29 | | 24 | 22 | | 25 | 21 | | 26 | 56 | | 27 | 16 | | 28 | 17 | | 29 | 30 | | 30 | 36 | | 31 | 13 | | 32 | 22 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 75 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 181 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 99 | | ratio | 0.081 | | matches | | 0 | "His heterochromatic eyes—one amber, one black—locked onto hers, and for a split second, the curry-scented air from the shop below thickened between them." | | 1 | "The flat closed around them—stacks of books teetering on every surface, scrolls unfurled across the coffee table like forgotten maps, Eva's research notes pinned to the walls in chaotic patterns." | | 2 | "Her pulse quickened, but she kept her face steady—cool-headed, that's what Eva always called her." | | 3 | "He stepped closer, close enough that she caught the subtle scent of his cologne—sandalwood and something darker, like brimstone veiled in luxury." | | 4 | "She pushed off the counter, pacing to the window where Brick Lane buzzed below—vendors hawking samosas, laughter spilling from pubs, oblivious to the supernatural currents weaving through the city." | | 5 | "There it was—the unsaid, spilling out." | | 6 | "The kiss came sudden, fierce—his lips claiming hers with the pent-up force of months apart." | | 7 | "But as she turned, a low rumble shook the flat— not from the curry house below, but something deeper, unnatural." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 702 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.03276353276353276 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 99 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 99 | | mean | 12.67 | | std | 6.64 | | cv | 0.524 | | sampleLengths | | 0 | 15 | | 1 | 23 | | 2 | 23 | | 3 | 23 | | 4 | 4 | | 5 | 13 | | 6 | 17 | | 7 | 15 | | 8 | 5 | | 9 | 17 | | 10 | 6 | | 11 | 11 | | 12 | 14 | | 13 | 12 | | 14 | 30 | | 15 | 14 | | 16 | 22 | | 17 | 8 | | 18 | 18 | | 19 | 14 | | 20 | 10 | | 21 | 26 | | 22 | 22 | | 23 | 10 | | 24 | 15 | | 25 | 25 | | 26 | 19 | | 27 | 28 | | 28 | 8 | | 29 | 22 | | 30 | 20 | | 31 | 3 | | 32 | 13 | | 33 | 20 | | 34 | 6 | | 35 | 9 | | 36 | 12 | | 37 | 9 | | 38 | 29 | | 39 | 15 | | 40 | 12 | | 41 | 7 | | 42 | 12 | | 43 | 13 | | 44 | 16 | | 45 | 27 | | 46 | 14 | | 47 | 2 | | 48 | 4 | | 49 | 10 |
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| 74.75% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.45454545454545453 | | totalSentences | 99 | | uniqueOpeners | 45 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 74 | | matches | | 0 | "Then it burned out, leaving" | | 1 | "Just the echo of his" | | 2 | "Instead, he cupped her face," |
| | ratio | 0.041 | |
| 41.62% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 74 | | matches | | 0 | "His heterochromatic eyes—one amber, one" | | 1 | "he said, his voice smooth" | | 2 | "She gripped the doorframe, her" | | 3 | "He tilted his head, a" | | 4 | "She stepped aside, not quite" | | 5 | "He entered without waiting, his" | | 6 | "He set his cane against" | | 7 | "He paused, his amber eye" | | 8 | "Her pulse quickened, but she" | | 9 | "He stepped closer, close enough" | | 10 | "She'd thought London, Eva's flat" | | 11 | "His black eye darkened further," | | 12 | "She pushed off the counter," | | 13 | "He moved behind her, his" | | 14 | "She spun, her straight black" | | 15 | "They stood inches apart now," | | 16 | "He'd denied it, his lips" | | 17 | "His hand lifted, hesitating before" | | 18 | "She laughed, bitter and low." | | 19 | "He gripped her arm gently," |
| | ratio | 0.446 | |
| 34.32% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 74 | | matches | | 0 | "The door swung open with" | | 1 | "Lucien Moreau stood there, his" | | 2 | "His heterochromatic eyes—one amber, one" | | 3 | "he said, his voice smooth" | | 4 | "She gripped the doorframe, her" | | 5 | "Ptolemy, Eva's tabby cat, chose" | | 6 | "Rory nudged him back with" | | 7 | "He tilted his head, a" | | 8 | "The question hung there, pulling" | | 9 | "She stepped aside, not quite" | | 10 | "He entered without waiting, his" | | 11 | "The flat closed around them—stacks" | | 12 | "Ptolemy jumped onto a pile" | | 13 | "Lucien scanned the room, his" | | 14 | "Rory crossed her arms, leaning" | | 15 | "The air smelled of old" | | 16 | "He set his cane against" | | 17 | "He paused, his amber eye" | | 18 | "Her pulse quickened, but she" | | 19 | "The alias she'd used when" |
| | ratio | 0.851 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 1 | | matches | | 0 | "He'd denied it, his lips brushing hers in a kiss that tasted of goodbye." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 3 | | matches | | 0 | "black eye darkened further, a void pulling her in" | | 1 | "He moved, his reflection ghosting in the glass" | | 2 | "she whispered, her quick mind already spinning plans" |
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| 97.37% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "she challenged (challenge)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 38 | | tagDensity | 0.079 | | leniency | 0.158 | | rawRatio | 0.667 | | effectiveRatio | 0.105 | |