| 87.50% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 2 | | adverbTags | | 0 | "He gestured vaguely [vaguely]" | | 1 | "Lucien stated flatly [flatly]" |
| | dialogueSentences | 29 | | tagDensity | 0.552 | | leniency | 1 | | rawRatio | 0.125 | | effectiveRatio | 0.125 | |
| 68.43% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 792 | | totalAiIsmAdverbs | 5 | | found | | 0 | | | 1 | | | 2 | | | 3 | | adverb | "barely above a whisper" | | count | 1 |
|
| | highlights | | 0 | "softly" | | 1 | "slightly" | | 2 | "really" | | 3 | "barely above a whisper" |
| |
| 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) | |
| 24.24% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 792 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "flicked" | | 1 | "unreadable" | | 2 | "lilt" | | 3 | "echoed" | | 4 | "sanctuary" | | 5 | "familiar" | | 6 | "pang" | | 7 | "whisper" | | 8 | "silence" | | 9 | "tension" | | 10 | "weight" |
| |
| 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 | 54 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 54 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 66 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 784 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 76.34% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 543 | | uniqueNames | 11 | | maxNameDensity | 1.47 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Eva | 1 | | Carter | 1 | | Evan | 1 | | Moreau | 2 | | French | 1 | | Ptolemy | 2 | | Aurora | 8 | | Thorne | 1 | | Lucien | 3 | | Brick | 1 | | Lane | 1 |
| | persons | | 0 | "Eva" | | 1 | "Carter" | | 2 | "Evan" | | 3 | "Moreau" | | 4 | "Aurora" | | 5 | "Thorne" | | 6 | "Lucien" |
| | places | | | globalScore | 0.763 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 784 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 66 | | matches | (empty) | |
| 61.12% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 16 | | mean | 49 | | std | 17.83 | | cv | 0.364 | | sampleLengths | | 0 | 86 | | 1 | 66 | | 2 | 75 | | 3 | 29 | | 4 | 54 | | 5 | 30 | | 6 | 57 | | 7 | 31 | | 8 | 34 | | 9 | 35 | | 10 | 31 | | 11 | 55 | | 12 | 72 | | 13 | 43 | | 14 | 34 | | 15 | 52 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 54 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 94 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 66 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 574 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.027874564459930314 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.017421602787456445 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 66 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 66 | | mean | 11.88 | | std | 6.81 | | cv | 0.573 | | sampleLengths | | 0 | 10 | | 1 | 18 | | 2 | 10 | | 3 | 7 | | 4 | 15 | | 5 | 6 | | 6 | 20 | | 7 | 4 | | 8 | 19 | | 9 | 3 | | 10 | 14 | | 11 | 11 | | 12 | 15 | | 13 | 14 | | 14 | 26 | | 15 | 18 | | 16 | 17 | | 17 | 3 | | 18 | 12 | | 19 | 6 | | 20 | 8 | | 21 | 20 | | 22 | 30 | | 23 | 4 | | 24 | 12 | | 25 | 14 | | 26 | 4 | | 27 | 23 | | 28 | 14 | | 29 | 4 | | 30 | 16 | | 31 | 12 | | 32 | 17 | | 33 | 2 | | 34 | 12 | | 35 | 22 | | 36 | 2 | | 37 | 11 | | 38 | 10 | | 39 | 9 | | 40 | 3 | | 41 | 5 | | 42 | 20 | | 43 | 6 | | 44 | 3 | | 45 | 13 | | 46 | 8 | | 47 | 21 | | 48 | 10 | | 49 | 13 |
| |
| 63.13% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.42424242424242425 | | totalSentences | 66 | | uniqueOpeners | 28 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 53 | | matches | (empty) | | ratio | 0 | |
| 16.23% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 53 | | matches | | 0 | "Her eyes, bright blue and" | | 1 | "She didn’t move immediately, her" | | 2 | "She’d installed them herself after" | | 3 | "He didn’t smile." | | 4 | "His gaze, one amber and" | | 5 | "His tailored charcoal suit looked" | | 6 | "He held an ivory-handled cane," | | 7 | "he said, his voice smooth" | | 8 | "He stepped inside, closing the" | | 9 | "She crossed her arms, her" | | 10 | "Her voice was cool, precise" | | 11 | "He inclined his head, a" | | 12 | "He gestured vaguely towards the" | | 13 | "She moved past him, heading" | | 14 | "he replied, his gaze lingering" | | 15 | "He settled into the worn" | | 16 | "She set the mug down" | | 17 | "He took a slow sip," | | 18 | "she said, her voice tight" | | 19 | "He leaned forward slightly, his" |
| | ratio | 0.509 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 53 | | matches | | 0 | "Thebrass knocker on Eva’s flat" | | 1 | "Aurora Carter, leaning against the" | | 2 | "Her eyes, bright blue and" | | 3 | "She didn’t move immediately, her" | | 4 | "The flat above" | | 5 | "She’d installed them herself after" | | 6 | "The third bolt scraped home" | | 7 | "The door swung open." | | 8 | "Lucien Moreau stood framed in" | | 9 | "He didn’t smile." | | 10 | "His gaze, one amber and" | | 11 | "His tailored charcoal suit looked" | | 12 | "He held an ivory-handled cane," | | 13 | "he said, his voice smooth" | | 14 | "He stepped inside, closing the" | | 15 | "The scent of curry from" | | 16 | "Ptolemy, the tabby cat, leapt" | | 17 | "Aurora didn’t flinch." | | 18 | "She crossed her arms, her" | | 19 | "Her voice was cool, precise" |
| | ratio | 0.981 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 53 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 1 | | matches | | 0 | "He inclined his head, a gesture of respect that felt entirely out of place in the chaos of her flat." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 6 | | matches | | 0 | "He settled, his cane resting beside him" | | 1 | "she said, her voice tight" | | 2 | "He leaned, his amber eye locking onto hers" | | 3 | "she said, her voice low" | | 4 | "he said, his voice soft but carrying," | | 5 | "she asked, her voice barely above a whisper" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 1 | | fancyTags | | 0 | "Lucien stated flatly (state)" |
| | dialogueSentences | 29 | | tagDensity | 0.276 | | leniency | 0.552 | | rawRatio | 0.125 | | effectiveRatio | 0.069 | |