| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 37 | | tagDensity | 0.027 | | leniency | 0.054 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.15% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 855 | | 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) | |
| 70.76% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 855 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "silence" | | 1 | "scanned" | | 2 | "stomach" | | 3 | "flickered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 146 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 146 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 182 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 13 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 855 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 701 | | uniqueNames | 3 | | maxNameDensity | 2.28 | | worstName | "Lucien" | | maxWindowNameDensity | 4 | | worstWindowName | "Lucien" | | discoveredNames | | | persons | | 0 | "Lucien" | | 1 | "Amber" | | 2 | "Aurora" |
| | places | (empty) | | globalScore | 0.359 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 41 | | 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 | 855 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 182 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 57 | | mean | 15 | | std | 17.33 | | cv | 1.156 | | sampleLengths | | 0 | 97 | | 1 | 41 | | 2 | 6 | | 3 | 12 | | 4 | 3 | | 5 | 39 | | 6 | 6 | | 7 | 4 | | 8 | 23 | | 9 | 8 | | 10 | 5 | | 11 | 46 | | 12 | 4 | | 13 | 5 | | 14 | 2 | | 15 | 27 | | 16 | 4 | | 17 | 7 | | 18 | 53 | | 19 | 7 | | 20 | 5 | | 21 | 3 | | 22 | 15 | | 23 | 32 | | 24 | 6 | | 25 | 9 | | 26 | 2 | | 27 | 5 | | 28 | 5 | | 29 | 44 | | 30 | 5 | | 31 | 3 | | 32 | 20 | | 33 | 2 | | 34 | 3 | | 35 | 28 | | 36 | 8 | | 37 | 3 | | 38 | 36 | | 39 | 9 | | 40 | 35 | | 41 | 2 | | 42 | 2 | | 43 | 6 | | 44 | 20 | | 45 | 5 | | 46 | 24 | | 47 | 1 | | 48 | 26 | | 49 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 146 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 150 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 182 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 701 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 11 | | adverbRatio | 0.015691868758915834 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0014265335235378032 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 182 | | echoCount | 0 | | echoWords | (empty) | |
| 94.65% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 182 | | mean | 4.7 | | std | 1.82 | | cv | 0.387 | | sampleLengths | | 0 | 9 | | 1 | 2 | | 2 | 10 | | 3 | 7 | | 4 | 3 | | 5 | 8 | | 6 | 4 | | 7 | 5 | | 8 | 6 | | 9 | 4 | | 10 | 6 | | 11 | 6 | | 12 | 4 | | 13 | 4 | | 14 | 6 | | 15 | 6 | | 16 | 7 | | 17 | 5 | | 18 | 5 | | 19 | 8 | | 20 | 5 | | 21 | 7 | | 22 | 6 | | 23 | 5 | | 24 | 6 | | 25 | 3 | | 26 | 9 | | 27 | 3 | | 28 | 3 | | 29 | 5 | | 30 | 4 | | 31 | 5 | | 32 | 3 | | 33 | 5 | | 34 | 7 | | 35 | 7 | | 36 | 6 | | 37 | 4 | | 38 | 6 | | 39 | 6 | | 40 | 4 | | 41 | 7 | | 42 | 8 | | 43 | 5 | | 44 | 3 | | 45 | 4 | | 46 | 4 | | 47 | 5 | | 48 | 5 | | 49 | 5 |
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| 25.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 48 | | diversityRatio | 0.15384615384615385 | | totalSentences | 182 | | uniqueOpeners | 28 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 139 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 78 | | totalSentences | 139 | | matches | | 0 | "She listened to the silence" | | 1 | "She slipped inside." | | 2 | "She надеялась nobody else came" | | 3 | "She checked the latch." | | 4 | "She threw the bolt." | | 5 | "He wore a charcoal suit." | | 6 | "It hung against the fabric." | | 7 | "He waited for dust to" | | 8 | "He did not make room." | | 9 | "He blocked the door." | | 10 | "Her heart beat against ribs." | | 11 | "He tapped the ground." | | 12 | "He turned the bookshelf." | | 13 | "He walked to the desk." | | 14 | "He picked up a phone." | | 15 | "He held the receiver high." | | 16 | "He did not reach for" | | 17 | "He held the phone loosely" | | 18 | "He set the phone on" | | 19 | "He pointed at the wall." |
| | ratio | 0.561 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 137 | | totalSentences | 139 | | matches | | 0 | "The key metched the lock" | | 1 | "She listened to the silence" | | 2 | "A lock snapped into place" | | 3 | "She slipped inside." | | 4 | "The hallway smelled of old" | | 5 | "Books covered every surface." | | 6 | "Scrolls lay on the desk." | | 7 | "Papers trapped fingers in the" | | 8 | "Aurora scanned the room." | | 9 | "The door was the right" | | 10 | "She надеялась nobody else came" | | 11 | "She checked the latch." | | 12 | "She threw the bolt." | | 13 | "A figure stood in the" | | 14 | "The cane splintered the wood" | | 15 | "Ivory handle glinted in the" | | 16 | "Lucien stepped into the shadow." | | 17 | "Platinum hair stuck to skin." | | 18 | "Amber and black eyes fixed" | | 19 | "He wore a charcoal suit." |
| | ratio | 0.986 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 139 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 2 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |