| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 2 | | adverbTags | | 0 | "he said quietly [quietly]" | | 1 | "she said finally [finally]" |
| | dialogueSentences | 41 | | tagDensity | 0.39 | | leniency | 0.78 | | rawRatio | 0.125 | | effectiveRatio | 0.098 | |
| 79.63% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1718 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "very" | | 1 | "softly" | | 2 | "carefully" | | 3 | "slowly" | | 4 | "suddenly" |
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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) | |
| 70.90% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1718 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "silence" | | 1 | "measured" | | 2 | "affection" | | 3 | "navigated" | | 4 | "could feel" | | 5 | "warmth" | | 6 | "calculated" |
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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 | 105 | | matches | (empty) | |
| 88.44% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 1 | | narrationSentences | 105 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 132 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 55 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1735 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 22 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 1374 | | uniqueNames | 11 | | maxNameDensity | 0.95 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 10 | | Eva | 6 | | Moreau | 1 | | Brick | 1 | | Lane | 1 | | Lucien | 13 | | Ptolemy | 5 | | Whitechapel | 1 | | Southwark | 1 | | Thursday | 1 | | London | 1 |
| | persons | | 0 | "Rory" | | 1 | "Eva" | | 2 | "Moreau" | | 3 | "Lucien" | | 4 | "Ptolemy" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Whitechapel" | | 3 | "Southwark" | | 4 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 39.71% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like he'd stepped out of a boardro" | | 1 | "not quite a smile, but the ghost of one" | | 2 | "s paranoia was apparently contagious" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.576 | | wordCount | 1735 | | matches | | 0 | "not quite a smile, but the ghost of one" |
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| 90.91% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 132 | | matches | | 0 | "believe that silence" | | 1 | "chose that moment" | | 2 | "understand that it" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 62 | | mean | 27.98 | | std | 27.26 | | cv | 0.974 | | sampleLengths | | 0 | 42 | | 1 | 4 | | 2 | 75 | | 3 | 7 | | 4 | 5 | | 5 | 73 | | 6 | 20 | | 7 | 39 | | 8 | 66 | | 9 | 5 | | 10 | 15 | | 11 | 5 | | 12 | 8 | | 13 | 47 | | 14 | 25 | | 15 | 3 | | 16 | 7 | | 17 | 55 | | 18 | 6 | | 19 | 55 | | 20 | 3 | | 21 | 3 | | 22 | 83 | | 23 | 20 | | 24 | 14 | | 25 | 2 | | 26 | 2 | | 27 | 94 | | 28 | 27 | | 29 | 5 | | 30 | 1 | | 31 | 80 | | 32 | 2 | | 33 | 4 | | 34 | 58 | | 35 | 66 | | 36 | 13 | | 37 | 18 | | 38 | 2 | | 39 | 60 | | 40 | 71 | | 41 | 5 | | 42 | 66 | | 43 | 7 | | 44 | 53 | | 45 | 22 | | 46 | 29 | | 47 | 13 | | 48 | 12 | | 49 | 92 |
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| 95.24% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 105 | | matches | | 0 | "been carved" | | 1 | "was buttoned" | | 2 | "been sealed" |
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| 92.90% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 249 | | matches | | 0 | "was already rehearsing" | | 1 | "was currently hammering" | | 2 | "was still resting" | | 3 | "was barely beginning" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 12 | | totalSentences | 132 | | ratio | 0.091 | | matches | | 0 | "The corner of his mouth twitched — not quite a smile, but the ghost of one." | | 1 | "His mismatched eyes lifted to meet hers — one amber, one black, both impossible to read in the dim light of the hallway." | | 2 | "The flat was exactly the disaster it always was — books stacked on every surface, scrolls pinned to the walls with thumbtacks, Eva's research notes spreading across the kitchen table like a paper avalanche." | | 3 | "He turned to face her, and the distance between them — maybe six feet, maybe less — felt both enormous and suffocating." | | 4 | "She heard him move — the soft tread of expensive shoes on worn carpet — and then he was behind her." | | 5 | "This was the other Lucien, the one she'd glimpsed only twice — once in a basement in Southwark when a summoned demon had nearly killed them both, and once outside Silas' bar, in the silence after she'd ended things." | | 6 | "He was closer than she'd calculated — inches away, close enough to count the different shades of amber in his left eye, close enough to see the faint shadow beneath his jaw where he'd nicked himself shaving." | | 7 | "She knew it the way she knew the shape of her own scar — intimately, irrevocably, written into the map of her." | | 8 | "The pad of his thumb grazed her cheekbone, and Rory's breath caught — a small, involuntary hitch that she couldn't have hidden if she'd tried." | | 9 | "Not broke — cracked, like a window letting in air, like a door that had been sealed shut suddenly swinging on its hinges." | | 10 | "Then he laughed — a real laugh, startled and rough, the kind she'd almost never heard from him." | | 11 | "Another laugh, smaller this time, and Rory stepped back — not far, just enough to breathe." |
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| 88.08% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 746 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 40 | | adverbRatio | 0.05361930294906166 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.013404825737265416 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 132 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 132 | | mean | 13.14 | | std | 11.41 | | cv | 0.868 | | sampleLengths | | 0 | 20 | | 1 | 22 | | 2 | 2 | | 3 | 2 | | 4 | 35 | | 5 | 5 | | 6 | 4 | | 7 | 31 | | 8 | 7 | | 9 | 5 | | 10 | 8 | | 11 | 8 | | 12 | 57 | | 13 | 3 | | 14 | 3 | | 15 | 14 | | 16 | 8 | | 17 | 4 | | 18 | 1 | | 19 | 21 | | 20 | 5 | | 21 | 27 | | 22 | 21 | | 23 | 12 | | 24 | 6 | | 25 | 5 | | 26 | 7 | | 27 | 8 | | 28 | 5 | | 29 | 8 | | 30 | 27 | | 31 | 20 | | 32 | 3 | | 33 | 16 | | 34 | 6 | | 35 | 3 | | 36 | 7 | | 37 | 6 | | 38 | 23 | | 39 | 14 | | 40 | 12 | | 41 | 6 | | 42 | 23 | | 43 | 3 | | 44 | 29 | | 45 | 3 | | 46 | 3 | | 47 | 34 | | 48 | 19 | | 49 | 30 |
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| 42.42% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.3181818181818182 | | totalSentences | 132 | | uniqueOpeners | 42 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 94 | | matches | | 0 | "Then the second." | | 1 | "Then the third, because Eva's" | | 2 | "Instead, she stood there, her" | | 3 | "Then he laughed — a" |
| | ratio | 0.043 | |
| 41.28% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 42 | | totalSentences | 94 | | matches | | 0 | "She was already rehearsing her" | | 1 | "His suit jacket was buttoned." | | 2 | "His tie was straight." | | 3 | "He looked like he'd stepped" | | 4 | "It was hard to tell" | | 5 | "He hadn't called." | | 6 | "She hadn't called." | | 7 | "His voice was measured." | | 8 | "She could smell the rain" | | 9 | "It had kept her awake" | | 10 | "He'd always liked that stupid" | | 11 | "His mismatched eyes lifted to" | | 12 | "It came out before she" | | 13 | "She watched the muscle work" | | 14 | "She stepped aside." | | 15 | "He stepped in." | | 16 | "she said, because it was" | | 17 | "He turned to face her," | | 18 | "It made him look younger." | | 19 | "It made him look like" |
| | ratio | 0.447 | |
| 34.47% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 80 | | totalSentences | 94 | | matches | | 0 | "The third deadbolt stuck the" | | 1 | "She was already rehearsing her" | | 2 | "Lucien Moreau leaned against the" | | 3 | "His suit jacket was buttoned." | | 4 | "His tie was straight." | | 5 | "He looked like he'd stepped" | | 6 | "Rory's keys went cold in" | | 7 | "The words came out sharper" | | 8 | "It was hard to tell" | | 9 | "He hadn't called." | | 10 | "She hadn't called." | | 11 | "His voice was measured." | | 12 | "The same low, even cadence" | | 13 | "Rory kept her hand on" | | 14 | "She could smell the rain" | | 15 | "It had kept her awake" | | 16 | "The words landed softly, but" | | 17 | "Rory felt something pull tight" | | 18 | "Ptolemy chose that moment to" | | 19 | "The tabby paused, sniffed the" |
| | ratio | 0.851 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 94 | | matches | (empty) | | ratio | 0 | |
| 93.02% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 3 | | matches | | 0 | "He looked like he'd stepped out of a boardroom, not out of the rain that was currently hammering Brick Lane hard enough to rattle the curry house windows two fl…" | | 1 | "The same low, even cadence he used when brokering deals with creatures that could tear him apart without breaking a sweat." | | 2 | "Ptolemy chose that moment to wind between Rory's ankles, meowing with the particular urgency of a cat who had decided his dinner was exactly forty seconds overd…" |
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| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 2 | | matches | | 0 | "Rory kept, her body a barrier between him and the flat" | | 1 | "she put, but her voice cracked on the single syllable like plaster under pressure" |
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| 76.83% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 3 | | fancyTags | | 0 | "It was hard to tell with Lucien (be tell)" | | 1 | "Rory muttered (mutter)" | | 2 | "she whispered (whisper)" |
| | dialogueSentences | 41 | | tagDensity | 0.244 | | leniency | 0.488 | | rawRatio | 0.3 | | effectiveRatio | 0.146 | |