| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 1 | | adverbTags | | 0 | "The name tasted like [like]" |
| | dialogueSentences | 48 | | tagDensity | 0.208 | | leniency | 0.417 | | rawRatio | 0.1 | | effectiveRatio | 0.042 | |
| 94.70% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 944 | | 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) | |
| 68.22% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 944 | | totalAiIsms | 6 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | word | "down her spine" | | count | 1 |
| | 5 | | word | "the last thing" | | count | 1 |
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| | highlights | | 0 | "familiar" | | 1 | "glint" | | 2 | "calculated" | | 3 | "flickered" | | 4 | "down her spine" | | 5 | "the last thing" |
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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 | 63 | | matches | (empty) | |
| 97.51% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 63 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 101 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 8 | | markdownWords | 34 | | totalWords | 954 | | ratio | 0.036 | | matches | | 0 | "No." | | 1 | "Laila Malphora" | | 2 | "First year, Cardiff Law. Before everything." | | 3 | "Think" | | 4 | "This is a fixer. A half-demon. A man who walked out of your life with a smile and a warning." | | 5 | "Shit." | | 6 | "My heart." | | 7 | "you" |
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| 93.75% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 1 | | matches | | 0 | "*Think*, she told herself." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 13 | | wordCount | 547 | | uniqueNames | 9 | | maxNameDensity | 0.55 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Moreau" | | discoveredNames | | Moreau | 2 | | Brick | 1 | | Lane | 1 | | Lucien | 2 | | Cardiff | 1 | | Law | 1 | | Rory | 3 | | Cold | 1 | | Glock | 1 |
| | persons | | 0 | "Moreau" | | 1 | "Lucien" | | 2 | "Rory" | | 3 | "Cold" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 76.47% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 34 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 954 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 101 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 17.67 | | std | 15.54 | | cv | 0.88 | | sampleLengths | | 0 | 5 | | 1 | 32 | | 2 | 1 | | 3 | 5 | | 4 | 14 | | 5 | 48 | | 6 | 1 | | 7 | 24 | | 8 | 3 | | 9 | 10 | | 10 | 45 | | 11 | 5 | | 12 | 38 | | 13 | 5 | | 14 | 4 | | 15 | 9 | | 16 | 36 | | 17 | 2 | | 18 | 5 | | 19 | 10 | | 20 | 37 | | 21 | 5 | | 22 | 14 | | 23 | 38 | | 24 | 3 | | 25 | 21 | | 26 | 43 | | 27 | 7 | | 28 | 5 | | 29 | 6 | | 30 | 31 | | 31 | 2 | | 32 | 2 | | 33 | 24 | | 34 | 22 | | 35 | 3 | | 36 | 2 | | 37 | 49 | | 38 | 7 | | 39 | 15 | | 40 | 13 | | 41 | 16 | | 42 | 46 | | 43 | 40 | | 44 | 9 | | 45 | 22 | | 46 | 2 | | 47 | 36 | | 48 | 20 | | 49 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 63 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 99 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 101 | | ratio | 0.059 | | matches | | 0 | "Through the frosted glass, she could make out the silhouette — tailored shoulders, a familiar tilt to the head, the telltale glint of an ivory cane." | | 1 | "His platinum hair looked almost silver under the buzzing fluorescent bulb, and his mismatched eyes — one amber, one black — swept over her with the same calculated assessment she remembered from six months ago." | | 2 | "He leaned on his cane — that same ivory-handled cane that could draw blood faster than most men could draw breath — and the gesture looked almost tired." | | 3 | "His fingers emerged holding a photograph — creased at the edges, worn soft with handling." | | 4 | "She stepped back, and he slipped through like smoke through a crack — silent, graceful, filling her small flat with his presence." | | 5 | "But something — some stupid, bleeding part of her — couldn't let go of the last thing he'd given her." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 582 | | adjectiveStacks | 1 | | stackExamples | | 0 | "same ivory-handled cane" |
| | adverbCount | 17 | | adverbRatio | 0.029209621993127148 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.001718213058419244 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 101 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 101 | | mean | 9.45 | | std | 7.95 | | cv | 0.842 | | sampleLengths | | 0 | 5 | | 1 | 6 | | 2 | 26 | | 3 | 1 | | 4 | 5 | | 5 | 7 | | 6 | 7 | | 7 | 13 | | 8 | 35 | | 9 | 1 | | 10 | 10 | | 11 | 14 | | 12 | 3 | | 13 | 10 | | 14 | 17 | | 15 | 28 | | 16 | 5 | | 17 | 6 | | 18 | 32 | | 19 | 5 | | 20 | 4 | | 21 | 4 | | 22 | 5 | | 23 | 2 | | 24 | 4 | | 25 | 19 | | 26 | 5 | | 27 | 6 | | 28 | 2 | | 29 | 5 | | 30 | 10 | | 31 | 5 | | 32 | 10 | | 33 | 15 | | 34 | 7 | | 35 | 5 | | 36 | 8 | | 37 | 4 | | 38 | 2 | | 39 | 5 | | 40 | 6 | | 41 | 19 | | 42 | 4 | | 43 | 4 | | 44 | 3 | | 45 | 8 | | 46 | 13 | | 47 | 7 | | 48 | 12 | | 49 | 4 |
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| 74.59% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.49504950495049505 | | totalSentences | 101 | | uniqueOpeners | 50 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 55 | | matches | | 0 | "Of course she knew." | | 1 | "Too dangerous to love." | | 2 | "Too much like him." | | 3 | "Even the cat remembered." |
| | ratio | 0.073 | |
| 74.55% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 55 | | matches | | 0 | "She pulled the door open" | | 1 | "His platinum hair looked almost" | | 2 | "He leaned on his cane" | | 3 | "It was wanting to receive" | | 4 | "He reached into his jacket." | | 5 | "His fingers emerged holding a" | | 6 | "He pressed it against the" | | 7 | "Her own face stared back." | | 8 | "She'd given him that photo." | | 9 | "His voice dropped" | | 10 | "She pulled the door open." | | 11 | "She stepped back, and he" | | 12 | "He studied the bookshelves, the" | | 13 | "She closed the door, clicked" | | 14 | "He set his cane against" | | 15 | "Her voice cracked on the" | | 16 | "He stepped closer" | | 17 | "His lips curved into something" | | 18 | "She'd thought about getting rid" | | 19 | "He settled onto her worn" |
| | ratio | 0.364 | |
| 96.36% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 40 | | totalSentences | 55 | | matches | | 0 | "The third deadbolt clicked open." | | 1 | "Rory's hand froze on the" | | 2 | "She pulled the door open" | | 3 | "Lucien Moreau stood in the" | | 4 | "His platinum hair looked almost" | | 5 | "The name tasted like ash" | | 6 | "A car passed on Brick" | | 7 | "He leaned on his cane" | | 8 | "The amber eye flickered." | | 9 | "The thing about Lucien Moreau" | | 10 | "The problem wasn't the message." | | 11 | "It was wanting to receive" | | 12 | "He reached into his jacket." | | 13 | "His fingers emerged holding a" | | 14 | "He pressed it against the" | | 15 | "Her own face stared back." | | 16 | "*Laila Malphora*, the back read" | | 17 | "She'd given him that photo." | | 18 | "The night before everything went" | | 19 | "The night he'd kissed her" |
| | ratio | 0.727 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 55 | | matches | (empty) | | ratio | 0 | |
| 98.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 16 | | technicalSentenceCount | 1 | | matches | | 0 | "He leaned on his cane — that same ivory-handled cane that could draw blood faster than most men could draw breath — and the gesture looked almost tired." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |