| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 36 | | tagDensity | 0.444 | | leniency | 0.889 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.85% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1399 | | 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) | |
| 57.11% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1399 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "gleaming" | | 1 | "velvet" | | 2 | "calculated" | | 3 | "variable" | | 4 | "throbbed" | | 5 | "weight" | | 6 | "silence" | | 7 | "pulse" | | 8 | "shattered" | | 9 | "resolve" |
| |
| 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 | 109 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 109 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 127 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1384 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 1092 | | uniqueNames | 17 | | maxNameDensity | 0.73 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 5 | | Brick | 3 | | Lane | 3 | | Moreau | 1 | | Soho | 1 | | Marseille | 1 | | London | 2 | | Avaros | 1 | | Silence | 1 | | Rory | 8 | | Celtic | 1 | | Cardiff | 1 | | French | 1 | | English | 1 | | Laila | 1 | | Ptolemy | 3 | | Lucien | 5 |
| | persons | | 0 | "Eva" | | 1 | "Moreau" | | 2 | "Silence" | | 3 | "Rory" | | 4 | "Laila" | | 5 | "Ptolemy" | | 6 | "Lucien" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Soho" | | 3 | "Marseille" | | 4 | "London" | | 5 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 7 | | matches | | 0 | "seemed excessive until you remembered what else shared the Brick Lane shadows" | | 1 | "felt like a broken rib every time she b" | | 2 | "as if sensing the static in the air" | | 3 | "as if reaching for something he’d lost" | | 4 | "seemed loud in the sudden intimacy of the room" | | 5 | "felt like being pinned beneath a micros" | | 6 | "felt like a confession" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.723 | | wordCount | 1384 | | matches | | 0 | "not touching her, but bracketing her head, caging her in a prison of his own makin" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 127 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 27.68 | | std | 20.21 | | cv | 0.73 | | sampleLengths | | 0 | 68 | | 1 | 3 | | 2 | 66 | | 3 | 41 | | 4 | 7 | | 5 | 10 | | 6 | 17 | | 7 | 4 | | 8 | 13 | | 9 | 16 | | 10 | 48 | | 11 | 5 | | 12 | 7 | | 13 | 36 | | 14 | 26 | | 15 | 48 | | 16 | 43 | | 17 | 19 | | 18 | 59 | | 19 | 20 | | 20 | 24 | | 21 | 4 | | 22 | 63 | | 23 | 15 | | 24 | 13 | | 25 | 34 | | 26 | 14 | | 27 | 40 | | 28 | 47 | | 29 | 8 | | 30 | 2 | | 31 | 27 | | 32 | 39 | | 33 | 7 | | 34 | 4 | | 35 | 7 | | 36 | 38 | | 37 | 30 | | 38 | 66 | | 39 | 4 | | 40 | 39 | | 41 | 31 | | 42 | 22 | | 43 | 68 | | 44 | 19 | | 45 | 14 | | 46 | 20 | | 47 | 24 | | 48 | 69 | | 49 | 36 |
| |
| 98.83% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 109 | | matches | | 0 | "being pinned" | | 1 | "was molten" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 186 | | matches | | 0 | "was brokering" | | 1 | "was peeling" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 15 | | semicolonCount | 2 | | flaggedSentences | 14 | | totalSentences | 127 | | ratio | 0.11 | | matches | | 0 | "Rory slid the first chain, the second, the third—Eva’s paranoia about living above a twenty-four-hour curry house had seemed excessive until you remembered what else shared the Brick Lane shadows." | | 1 | "His eyes—god, his eyes." | | 2 | "The chain remained on—old habits—but the gap was wide enough to see him properly." | | 3 | "She knew what it concealed—a blade thin enough to slip between ribs, sharp enough to cut lies in half." | | 4 | "Rory looked at him—really looked." | | 5 | "He smelled of rain and something else—sulfur, faint but distinct." | | 6 | "The scar on her wrist peeked from beneath her sleeve—black hair falling forward, bright blue eyes defiant." | | 7 | "He set the cane against Eva’s cluttered dining table—an antique mahogany piece buried under archaeological journals—and removed his gloves, finger by finger." | | 8 | "He was five-eleven to her five-six; he’d always had to tilt his chin down to meet her eyes, and he did so now with a focus that felt like being pinned beneath a microscope." | | 9 | "She was cool-headed, calculated—her father’s daughter, her mother’s stubbornness." | | 10 | "Spines dug into her shoulder blades—Eva’s collection on Celtic demonology, ironically enough." | | 11 | "Lucien knew; of course he knew." | | 12 | "The alias—Laila, the name she’d used in the underworld, the name he’d whispered against her skin in that safehouse—shattered the last of her resolve." | | 13 | "He kissed like he fought—strategic, devastating, then suddenly soft, reverent, his thumbs brushing the scar on her wrist where he’d finally touched her." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1116 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.027777777777777776 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.0062724014336917565 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 127 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 127 | | mean | 10.9 | | std | 8.86 | | cv | 0.813 | | sampleLengths | | 0 | 5 | | 1 | 30 | | 2 | 11 | | 3 | 22 | | 4 | 3 | | 5 | 29 | | 6 | 18 | | 7 | 4 | | 8 | 9 | | 9 | 3 | | 10 | 3 | | 11 | 41 | | 12 | 5 | | 13 | 2 | | 14 | 6 | | 15 | 4 | | 16 | 6 | | 17 | 11 | | 18 | 4 | | 19 | 13 | | 20 | 4 | | 21 | 5 | | 22 | 7 | | 23 | 5 | | 24 | 14 | | 25 | 11 | | 26 | 5 | | 27 | 11 | | 28 | 2 | | 29 | 5 | | 30 | 7 | | 31 | 21 | | 32 | 9 | | 33 | 3 | | 34 | 3 | | 35 | 26 | | 36 | 38 | | 37 | 10 | | 38 | 11 | | 39 | 11 | | 40 | 6 | | 41 | 15 | | 42 | 4 | | 43 | 12 | | 44 | 3 | | 45 | 4 | | 46 | 10 | | 47 | 19 | | 48 | 26 | | 49 | 6 |
| |
| 51.18% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3543307086614173 | | totalSentences | 127 | | uniqueOpeners | 45 | |
| 36.23% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 92 | | matches | | 0 | "Instead, her thumb found the" |
| | ratio | 0.011 | |
| 54.78% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 92 | | matches | | 0 | "Her fingers lingered on the" | | 1 | "She stopped breathing." | | 2 | "He’d slicked his hair back," | | 3 | "His eyes—god, his eyes." | | 4 | "She should shut the peephole." | | 5 | "His voice carried the faint" | | 6 | "She opened the door fully." | | 7 | "He hadn’t brought an umbrella." | | 8 | "Her left wrist throbbed, phantom" | | 9 | "She hid it behind her" | | 10 | "He’d already seen." | | 11 | "He saw everything." | | 12 | "He tilted his head" | | 13 | "She gripped the doorframe." | | 14 | "He shifted his weight." | | 15 | "She knew what it concealed—a" | | 16 | "He’d taught her that, during" | | 17 | "She undid the chain." | | 18 | "He stepped across the threshold," | | 19 | "He smelled of rain and" |
| | ratio | 0.413 | |
| 36.09% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 78 | | totalSentences | 92 | | matches | | 0 | "The deadbolts were a ritual." | | 1 | "Rory slid the first chain," | | 2 | "Her fingers lingered on the" | | 3 | "She stopped breathing." | | 4 | "Lucien Moreau stood in the" | | 5 | "He’d slicked his hair back," | | 6 | "His eyes—god, his eyes." | | 7 | "Amber and obsidian." | | 8 | "Human and not." | | 9 | "The last time she’d seen" | | 10 | "She should shut the peephole." | | 11 | "The door cracked open." | | 12 | "His voice carried the faint" | | 13 | "The subtext hummed like a" | | 14 | "She opened the door fully." | | 15 | "The chain remained on—old habits—but" | | 16 | "Rain had darkened the shoulders" | | 17 | "He hadn’t brought an umbrella." | | 18 | "Her left wrist throbbed, phantom" | | 19 | "She hid it behind her" |
| | ratio | 0.848 | |
| 54.35% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 92 | | matches | | 0 | "Even through the distorted glass," |
| | ratio | 0.011 | |
| 3.48% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 8 | | matches | | 0 | "Lucien Moreau stood in the hallway that smelled of vindaloo and cheap detergent, leaning on that cane of his with a casualness that didn’t fool her for a second…" | | 1 | "The last time she’d seen him, he’d been walking away from her in a Soho alley, the tails of his coat disappearing into fog, leaving her with a half-truth that h…" | | 2 | "For a man who calculated every variable, the oversight felt deliberate." | | 3 | "Ptolemy wound between her ankles, orange tabby fur brushing her jeans, then darted back into the flat’s interior as if sensing the static in the air." | | 4 | "The way his free hand flexed, empty, as if reaching for something he’d lost." | | 5 | "He was five-eleven to her five-six; he’d always had to tilt his chin down to meet her eyes, and he did so now with a focus that felt like being pinned beneath a…" | | 6 | "Lucien’s hands came up, not touching her, but bracketing her head, caging her in a prison of his own making." | | 7 | "For a fixer who spoke four languages and wielded silence like a blade, the tremor in his composure was devastating." |
| |
| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 2 | | matches | | 0 | "His forehead dropped, a gesture so intimate it felt like a confession" | | 1 | "he murmured, the French accent thickening, breaking through the polished English" |
| |
| 94.44% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 2 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "he murmured (murmur)" |
| | dialogueSentences | 36 | | tagDensity | 0.306 | | leniency | 0.611 | | rawRatio | 0.182 | | effectiveRatio | 0.111 | |