| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 4 | | adverbTags | | 0 | "She gestured vaguely [vaguely]" | | 1 | "Eva said softly [softly]" | | 2 | "She stood then [then]" | | 3 | "He turned away [away]" |
| | dialogueSentences | 40 | | tagDensity | 0.3 | | leniency | 0.6 | | rawRatio | 0.333 | | effectiveRatio | 0.2 | |
| 93.10% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1450 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 68.97% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1450 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "wavering" | | 1 | "tracing" | | 2 | "silk" | | 3 | "silence" | | 4 | "stomach" | | 5 | "flickered" | | 6 | "pulse" | | 7 | "flicked" | | 8 | "flicker" |
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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 | 1 | | narrationSentences | 100 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 100 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 128 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 7 | | markdownWords | 22 | | totalWords | 1439 | | ratio | 0.015 | | matches | | 0 | "Malphora" | | 1 | "Malphora" | | 2 | "him" | | 3 | "him" | | 4 | "researcher" | | 5 | "Freelance investigator needed. Discreet, resourceful, with a background in research or intelligence. High pay, high risk." | | 6 | "third" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 64 | | wordCount | 1135 | | uniqueNames | 10 | | maxNameDensity | 2.38 | | worstName | "Rory" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Eva" | | discoveredNames | | Raven | 1 | | Nest | 2 | | Golden | 1 | | Empress | 1 | | London | 1 | | Evan | 1 | | Rory | 27 | | Eva | 24 | | Yu-Fei | 1 | | Silas | 5 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Evan" | | 3 | "Rory" | | 4 | "Eva" | | 5 | "Silas" |
| | places | | | globalScore | 0.311 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | glossingSentenceCount | 1 | | matches | | 0 | "quite manage to be a smile" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.695 | | wordCount | 1439 | | matches | | 0 | "Not just in years, but in the way people did" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 128 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 31.98 | | std | 27.98 | | cv | 0.875 | | sampleLengths | | 0 | 128 | | 1 | 68 | | 2 | 4 | | 3 | 67 | | 4 | 4 | | 5 | 93 | | 6 | 11 | | 7 | 75 | | 8 | 31 | | 9 | 15 | | 10 | 11 | | 11 | 38 | | 12 | 27 | | 13 | 23 | | 14 | 17 | | 15 | 57 | | 16 | 11 | | 17 | 42 | | 18 | 2 | | 19 | 39 | | 20 | 6 | | 21 | 11 | | 22 | 2 | | 23 | 50 | | 24 | 35 | | 25 | 6 | | 26 | 18 | | 27 | 55 | | 28 | 4 | | 29 | 96 | | 30 | 59 | | 31 | 21 | | 32 | 8 | | 33 | 13 | | 34 | 46 | | 35 | 10 | | 36 | 11 | | 37 | 23 | | 38 | 34 | | 39 | 31 | | 40 | 17 | | 41 | 13 | | 42 | 53 | | 43 | 27 | | 44 | 27 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 100 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 188 | | matches | | 0 | "was bracing" | | 1 | "was tilting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 128 | | ratio | 0.078 | | matches | | 0 | "But the Nest had a way of holding onto people, like a spider’s silk—soft at first, then unshakable." | | 1 | "Knew it the way she knew the scar on her wrist—the one from the night she’d smashed a glass in her palm after Evan had called her stupid for the third time that week." | | 2 | "It was the way Eva held herself—shoulders squared, chin lifted, like she was bracing for a fight." | | 3 | "The bartender—a wiry man with a tattoo of a raven in flight across his forearm—glanced their way." | | 4 | "Rory studied Eva’s profile—the new hardness in her jaw, the way her lashes cast shadows under her eyes." | | 5 | "She thought of the last five years—the deliveries she made for Yu-Fei, the nights spent in her flat above the bar, the way she’d told herself she was happy with quiet, with safe." | | 6 | "Rory knew what was behind it—the hidden room, the one Silas used for meetings that weren’t meant to be seen." | | 7 | "Eva reached out, her fingers brushing Rory’s wrist—the one with the scar." | | 8 | "“Fair enough.” He turned away, but not before Rory caught the flicker of something in his eyes—concern, maybe, or the ghost of an old warning." | | 9 | "Maybe she was exactly the same—just better at pretending she wasn’t." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1002 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.02694610778443114 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.005988023952095809 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 128 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 128 | | mean | 11.24 | | std | 8.33 | | cv | 0.741 | | sampleLengths | | 0 | 35 | | 1 | 22 | | 2 | 25 | | 3 | 7 | | 4 | 21 | | 5 | 18 | | 6 | 20 | | 7 | 4 | | 8 | 21 | | 9 | 23 | | 10 | 4 | | 11 | 11 | | 12 | 3 | | 13 | 4 | | 14 | 34 | | 15 | 15 | | 16 | 4 | | 17 | 18 | | 18 | 10 | | 19 | 17 | | 20 | 29 | | 21 | 19 | | 22 | 6 | | 23 | 5 | | 24 | 9 | | 25 | 4 | | 26 | 8 | | 27 | 32 | | 28 | 1 | | 29 | 21 | | 30 | 24 | | 31 | 7 | | 32 | 9 | | 33 | 6 | | 34 | 8 | | 35 | 3 | | 36 | 17 | | 37 | 4 | | 38 | 5 | | 39 | 12 | | 40 | 5 | | 41 | 11 | | 42 | 11 | | 43 | 6 | | 44 | 8 | | 45 | 9 | | 46 | 7 | | 47 | 10 | | 48 | 16 | | 49 | 18 |
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| 59.64% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.3671875 | | totalSentences | 128 | | uniqueOpeners | 47 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 97 | | matches | | 0 | "Just a quick drink after" | | 1 | "Then the door swung shut," | | 2 | "Then Eva exhaled, long and" | | 3 | "Instead, she reached into her" | | 4 | "Then he nodded, once, and" | | 5 | "Then he sighed, the sound" | | 6 | "Maybe she was exactly the" |
| | ratio | 0.072 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 97 | | matches | | 0 | "She hadn’t meant to stay" | | 1 | "She was too busy watching" | | 2 | "She knew that voice." | | 3 | "She turned her head." | | 4 | "It was the way Eva" | | 5 | "She didn’t need another drink." | | 6 | "She needed to not feel" | | 7 | "She didn’t have to ask" | | 8 | "She looked older." | | 9 | "She swirled the whiskey in" | | 10 | "She slid it across the" | | 11 | "She gestured vaguely between them" | | 12 | "It was a job listing." | | 13 | "She looked up." | | 14 | "She thought of the last" | | 15 | "She leaned in" | | 16 | "She thought of Silas, of" | | 17 | "He’d given her a job," | | 18 | "He moved with the quiet" | | 19 | "His hazel eyes flicked between" |
| | ratio | 0.258 | |
| 73.40% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 75 | | totalSentences | 97 | | matches | | 0 | "The Raven’s Nest hummed with" | | 1 | "The green neon sign outside" | | 2 | "Rory leaned against the bar," | | 3 | "She hadn’t meant to stay" | | 4 | "The door creaked open, letting" | | 5 | "Rory didn’t look up." | | 6 | "She was too busy watching" | | 7 | "The voice was deeper than" | | 8 | "Rory’s fingers stilled." | | 9 | "She knew that voice." | | 10 | "The one she’d pressed into" | | 11 | "She turned her head." | | 12 | "Eva stood just inside the" | | 13 | "It was the way Eva" | | 14 | "The last time Rory had" | | 15 | "Eva said, stepping forward" | | 16 | "The name hit like a" | | 17 | "Rory’s breath came short." | | 18 | "The name they’d given her" | | 19 | "Eva slid onto the stool" |
| | ratio | 0.773 | |
| 51.55% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 97 | | matches | | 0 | "Now, her eyes were sharp," |
| | ratio | 0.01 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 2 | | matches | | 0 | "Eva stood just inside the door, shaking rain from her dark curls, her coat dripping onto the floorboards." | | 1 | "He moved with the quiet precision of a man who’d spent a lifetime being watched, his limp barely noticeable unless you knew to look for it." |
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| 83.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 1 | | matches | | 0 | "he said, his voice a low rumble" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 40 | | tagDensity | 0.15 | | leniency | 0.3 | | rawRatio | 0 | | effectiveRatio | 0 | |