| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said finally [finally]" |
| | dialogueSentences | 35 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0.067 | | effectiveRatio | 0.057 | |
| 89.30% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 935 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 935 | | totalAiIsms | 20 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | word | "mask of indifference" | | count | 1 |
| | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | |
| | highlights | | 0 | "echoing" | | 1 | "silk" | | 2 | "race" | | 3 | "scanning" | | 4 | "racing" | | 5 | "mask of indifference" | | 6 | "eyebrow" | | 7 | "pang" | | 8 | "weight" | | 9 | "flicker" | | 10 | "silence" | | 11 | "unspoken" | | 12 | "could feel" | | 13 | "tension" | | 14 | "reminder" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "eyes widened" | | 1 | "sent a jolt through" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 59 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 59 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 79 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 936 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 1 | | matches | | 0 | "Finally, Aurora spoke." |
| |
| 66.03% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 655 | | uniqueNames | 4 | | maxNameDensity | 1.68 | | worstName | "Lucien" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 11 | | Moreau | 1 | | Frenchman | 1 | | Aurora | 9 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Aurora" |
| | places | (empty) | | globalScore | 0.66 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | 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 | 936 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 79 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 27.53 | | std | 13.97 | | cv | 0.507 | | sampleLengths | | 0 | 57 | | 1 | 18 | | 2 | 14 | | 3 | 37 | | 4 | 42 | | 5 | 34 | | 6 | 10 | | 7 | 28 | | 8 | 39 | | 9 | 35 | | 10 | 11 | | 11 | 21 | | 12 | 22 | | 13 | 38 | | 14 | 49 | | 15 | 17 | | 16 | 24 | | 17 | 12 | | 18 | 53 | | 19 | 37 | | 20 | 21 | | 21 | 24 | | 22 | 14 | | 23 | 11 | | 24 | 46 | | 25 | 7 | | 26 | 39 | | 27 | 11 | | 28 | 32 | | 29 | 31 | | 30 | 21 | | 31 | 12 | | 32 | 51 | | 33 | 18 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 59 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 126 | | matches | (empty) | |
| 70.52% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 79 | | ratio | 0.025 | | matches | | 0 | "She swung the door open, and there he stood — Lucien Moreau, the Frenchman, with his heterochromatic eyes and tailored charcoal suit." | | 1 | "She felt a pang of something — regret, maybe — at his words." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 654 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.035168195718654434 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.010703363914373088 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 79 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 79 | | mean | 11.85 | | std | 5.6 | | cv | 0.473 | | sampleLengths | | 0 | 12 | | 1 | 15 | | 2 | 22 | | 3 | 8 | | 4 | 18 | | 5 | 9 | | 6 | 5 | | 7 | 14 | | 8 | 23 | | 9 | 9 | | 10 | 12 | | 11 | 10 | | 12 | 11 | | 13 | 20 | | 14 | 14 | | 15 | 4 | | 16 | 6 | | 17 | 11 | | 18 | 17 | | 19 | 13 | | 20 | 12 | | 21 | 14 | | 22 | 12 | | 23 | 23 | | 24 | 3 | | 25 | 8 | | 26 | 15 | | 27 | 6 | | 28 | 12 | | 29 | 10 | | 30 | 11 | | 31 | 27 | | 32 | 13 | | 33 | 10 | | 34 | 5 | | 35 | 7 | | 36 | 4 | | 37 | 10 | | 38 | 9 | | 39 | 8 | | 40 | 13 | | 41 | 11 | | 42 | 12 | | 43 | 14 | | 44 | 21 | | 45 | 18 | | 46 | 13 | | 47 | 24 | | 48 | 8 | | 49 | 13 |
| |
| 69.62% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.4177215189873418 | | totalSentences | 79 | | uniqueOpeners | 33 | |
| 57.47% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 58 | | matches | | 0 | "Finally, Aurora spoke." |
| | ratio | 0.017 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 58 | | matches | | 0 | "She swung the door open," | | 1 | "His ivory-handled cane tapped lightly" | | 2 | "he said, his voice smooth" | | 3 | "she replied, her voice steadier" | | 4 | "He stepped inside without waiting" | | 5 | "he said, his eyes scanning" | | 6 | "She had walked away, leaving" | | 7 | "she asked, crossing her arms" | | 8 | "he said, his voice low" | | 9 | "She felt a pang of" | | 10 | "They had been a formidable" | | 11 | "she asked, trying to keep" | | 12 | "he said, his gaze intense" | | 13 | "She hesitated, the weight of" | | 14 | "He sighed, running a hand" | | 15 | "She had spent years studying," | | 16 | "she said finally" | | 17 | "She turned to the small" | | 18 | "she asked, her voice softer" | | 19 | "he replied, leaning his cane" |
| | ratio | 0.552 | |
| 28.97% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 50 | | totalSentences | 58 | | matches | | 0 | "Aurora's hand froze on the" | | 1 | "The three deadbolts clinked as" | | 2 | "She swung the door open," | | 3 | "His ivory-handled cane tapped lightly" | | 4 | "he said, his voice smooth" | | 5 | "she replied, her voice steadier" | | 6 | "He stepped inside without waiting" | | 7 | "he said, his eyes scanning" | | 8 | "Aurora closed the door behind" | | 9 | "The last time they had" | | 10 | "She had walked away, leaving" | | 11 | "she asked, crossing her arms" | | 12 | "Lucien's gaze settled on her," | | 13 | "Aurora raised an eyebrow." | | 14 | "he said, his voice low" | | 15 | "She felt a pang of" | | 16 | "They had been a formidable" | | 17 | "she asked, trying to keep" | | 18 | "Lucien took a step closer," | | 19 | "Aurora's eyes widened." |
| | ratio | 0.862 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 58 | | matches | (empty) | | ratio | 0 | |
| 95.24% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 2 | | matches | | 0 | "He stepped inside without waiting for an invitation, his presence filling the small space." | | 1 | "She turned to find him standing just a few feet away, his eyes searching hers." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 6 | | matches | | 0 | "she replied, her voice steadier than she felt" | | 1 | "he said, his voice low and earnest" | | 2 | "she asked, trying to keep her tone neutral" | | 3 | "he said, his gaze intense" | | 4 | "she asked, her voice softer now" | | 5 | "Lucien said, his voice closer now" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 1 | | fancyTags | | 0 | "she interrupted (interrupt)" |
| | dialogueSentences | 35 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0.067 | | effectiveRatio | 0.057 | |