| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 2 | | adverbTags | | 0 | "His French accent curled around [around]" | | 1 | "He turned back [back]" |
| | dialogueSentences | 49 | | tagDensity | 0.306 | | leniency | 0.612 | | rawRatio | 0.133 | | effectiveRatio | 0.082 | |
| 78.45% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1392 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slightly" | | 1 | "utterly" | | 2 | "carefully" | | 3 | "really" | | 4 | "very" | | 5 | "quickly" |
| |
| 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) | |
| 42.53% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1392 | | totalAiIsms | 16 | | found | | 0 | | | 1 | | | 2 | | word | "practiced ease" | | count | 1 |
| | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | |
| | highlights | | 0 | "stark" | | 1 | "intensity" | | 2 | "practiced ease" | | 3 | "constructed" | | 4 | "navigated" | | 5 | "rhythmic" | | 6 | "chaotic" | | 7 | "resonance" | | 8 | "silence" | | 9 | "charged" | | 10 | "raced" | | 11 | "fleeting" | | 12 | "calculating" | | 13 | "flickered" | | 14 | "eyebrow" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 79 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 79 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 110 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1388 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 850 | | uniqueNames | 6 | | maxNameDensity | 0.82 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Eva" | | discoveredNames | | Moreau | 1 | | French | 1 | | Eva | 4 | | Rory | 7 | | Lucien | 5 | | Yu-Fei | 1 |
| | persons | | 0 | "Moreau" | | 1 | "Eva" | | 2 | "Rory" | | 3 | "Lucien" | | 4 | "Yu-Fei" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 55.91% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.441 | | wordCount | 1388 | | matches | | 0 | "not a weapon, but a small, tarnished silver locket" | | 1 | "not to touch her, but to brush a strand of black hair from her shoulder" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 110 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 30.84 | | std | 20.85 | | cv | 0.676 | | sampleLengths | | 0 | 37 | | 1 | 3 | | 2 | 60 | | 3 | 30 | | 4 | 13 | | 5 | 19 | | 6 | 35 | | 7 | 30 | | 8 | 1 | | 9 | 4 | | 10 | 13 | | 11 | 40 | | 12 | 29 | | 13 | 60 | | 14 | 37 | | 15 | 8 | | 16 | 44 | | 17 | 22 | | 18 | 48 | | 19 | 5 | | 20 | 45 | | 21 | 36 | | 22 | 48 | | 23 | 9 | | 24 | 45 | | 25 | 2 | | 26 | 85 | | 27 | 55 | | 28 | 13 | | 29 | 71 | | 30 | 37 | | 31 | 2 | | 32 | 57 | | 33 | 33 | | 34 | 5 | | 35 | 41 | | 36 | 3 | | 37 | 36 | | 38 | 53 | | 39 | 5 | | 40 | 47 | | 41 | 34 | | 42 | 12 | | 43 | 26 | | 44 | 50 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 79 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 130 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 110 | | ratio | 0.009 | | matches | | 0 | "But the woman in the miniature photograph inside—the dark curls, the same bright blue eyes—could have been her mother, or her grandmother." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 858 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, tarnished silver locket." |
| | adverbCount | 20 | | adverbRatio | 0.023310023310023312 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.005827505827505828 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 110 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 110 | | mean | 12.62 | | std | 9.81 | | cv | 0.778 | | sampleLengths | | 0 | 16 | | 1 | 16 | | 2 | 5 | | 3 | 2 | | 4 | 1 | | 5 | 18 | | 6 | 28 | | 7 | 14 | | 8 | 26 | | 9 | 4 | | 10 | 2 | | 11 | 7 | | 12 | 4 | | 13 | 16 | | 14 | 3 | | 15 | 21 | | 16 | 14 | | 17 | 25 | | 18 | 5 | | 19 | 1 | | 20 | 4 | | 21 | 12 | | 22 | 1 | | 23 | 5 | | 24 | 35 | | 25 | 8 | | 26 | 13 | | 27 | 3 | | 28 | 3 | | 29 | 2 | | 30 | 12 | | 31 | 5 | | 32 | 20 | | 33 | 23 | | 34 | 18 | | 35 | 8 | | 36 | 11 | | 37 | 8 | | 38 | 14 | | 39 | 5 | | 40 | 25 | | 41 | 17 | | 42 | 5 | | 43 | 43 | | 44 | 5 | | 45 | 5 | | 46 | 7 | | 47 | 16 | | 48 | 22 | | 49 | 3 |
| |
| 51.82% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.35454545454545455 | | totalSentences | 110 | | uniqueOpeners | 39 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 9.19% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 74 | | matches | | 0 | "He’d shed the usual charcoal" | | 1 | "His French accent curled around" | | 2 | "His gaze swept past her," | | 3 | "He leaned forward slightly, the" | | 4 | "He didn’t move the cane." | | 5 | "Her part-time job, her carefully" | | 6 | "She stepped back." | | 7 | "He navigated the obstacle course" | | 8 | "he stated, settling on the" | | 9 | "He crossed one ankle over" | | 10 | "It wasn’t a boast" | | 11 | "His mismatched eyes held hers" | | 12 | "He uncrossed his legs, the" | | 13 | "He reached into his pocket" | | 14 | "He placed it on the" | | 15 | "It wasn’t hers." | | 16 | "She didn’t move." | | 17 | "He gestured to the room," | | 18 | "He tilted his head" | | 19 | "He leaned forward, his voice" |
| | ratio | 0.527 | |
| 0.54% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 74 | | matches | | 0 | "The three deadbolts clicked open" | | 1 | "Rory pulled the door inward," | | 2 | "The hallway beyond was empty." | | 3 | "Lucien Moreau stood in the" | | 4 | "He’d shed the usual charcoal" | | 5 | "His French accent curled around" | | 6 | "The chain was still in" | | 7 | "His gaze swept past her," | | 8 | "Rory made to shut the" | | 9 | "The ivory tip of his" | | 10 | "He leaned forward slightly, the" | | 11 | "The request, so polite and" | | 12 | "He didn’t move the cane." | | 13 | "The air in Rory’s lungs" | | 14 | "Her part-time job, her carefully" | | 15 | "She stepped back." | | 16 | "Lucien slid inside, closing the" | | 17 | "The three deadbolts remained unthrown." | | 18 | "The space, already crammed with" | | 19 | "He navigated the obstacle course" |
| | ratio | 0.919 | |
| 67.57% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 74 | | matches | | | ratio | 0.014 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 3 | | matches | | 0 | "Lucien said, his voice dropping to a conspiratorial murmur" | | 1 | "He leaned, his voice dropping further, intimate and terrible" | | 2 | "His eyes searched, the black pupil seeming to swallow the light" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "he stated (state)" | | 1 | "he murmured (murmur)" |
| | dialogueSentences | 49 | | tagDensity | 0.061 | | leniency | 0.122 | | rawRatio | 0.667 | | effectiveRatio | 0.082 | |