| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 37 | | tagDensity | 0.162 | | leniency | 0.324 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1605 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 90.65% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1605 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "scanned" | | 1 | "weight" | | 2 | "mosaic" |
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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 | 118 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 118 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 149 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1605 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 88.05% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 1130 | | uniqueNames | 7 | | maxNameDensity | 1.24 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 2 | | Harlow | 1 | | Quinn | 14 | | Marsh | 11 | | Kowalski | 1 | | Town | 1 | | Eva | 6 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Marsh" | | 3 | "Kowalski" | | 4 | "Eva" |
| | places | | | globalScore | 0.881 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 96 | | 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 | 1605 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 149 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 56 | | mean | 28.66 | | std | 23.34 | | cv | 0.814 | | sampleLengths | | 0 | 63 | | 1 | 55 | | 2 | 30 | | 3 | 7 | | 4 | 1 | | 5 | 17 | | 6 | 18 | | 7 | 29 | | 8 | 56 | | 9 | 62 | | 10 | 49 | | 11 | 2 | | 12 | 5 | | 13 | 11 | | 14 | 15 | | 15 | 61 | | 16 | 10 | | 17 | 4 | | 18 | 16 | | 19 | 40 | | 20 | 52 | | 21 | 23 | | 22 | 7 | | 23 | 9 | | 24 | 25 | | 25 | 16 | | 26 | 13 | | 27 | 9 | | 28 | 68 | | 29 | 28 | | 30 | 12 | | 31 | 15 | | 32 | 74 | | 33 | 7 | | 34 | 17 | | 35 | 70 | | 36 | 41 | | 37 | 16 | | 38 | 31 | | 39 | 19 | | 40 | 31 | | 41 | 15 | | 42 | 10 | | 43 | 16 | | 44 | 57 | | 45 | 15 | | 46 | 7 | | 47 | 79 | | 48 | 18 | | 49 | 50 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 118 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 159 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 149 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1134 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 7 | | adverbRatio | 0.006172839506172839 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 149 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 149 | | mean | 10.77 | | std | 6.53 | | cv | 0.606 | | sampleLengths | | 0 | 17 | | 1 | 9 | | 2 | 14 | | 3 | 5 | | 4 | 5 | | 5 | 13 | | 6 | 9 | | 7 | 10 | | 8 | 9 | | 9 | 13 | | 10 | 6 | | 11 | 8 | | 12 | 19 | | 13 | 5 | | 14 | 6 | | 15 | 7 | | 16 | 1 | | 17 | 17 | | 18 | 18 | | 19 | 29 | | 20 | 7 | | 21 | 11 | | 22 | 13 | | 23 | 13 | | 24 | 12 | | 25 | 19 | | 26 | 7 | | 27 | 17 | | 28 | 8 | | 29 | 11 | | 30 | 8 | | 31 | 9 | | 32 | 16 | | 33 | 5 | | 34 | 1 | | 35 | 3 | | 36 | 2 | | 37 | 2 | | 38 | 3 | | 39 | 2 | | 40 | 5 | | 41 | 11 | | 42 | 15 | | 43 | 10 | | 44 | 14 | | 45 | 14 | | 46 | 6 | | 47 | 12 | | 48 | 5 | | 49 | 10 |
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| 34.23% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 24 | | diversityRatio | 0.30201342281879195 | | totalSentences | 149 | | uniqueOpeners | 45 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 108 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 108 | | matches | | 0 | "She squeezed between shutter and" | | 1 | "She counted the steps and" | | 2 | "He lifted the notebook at" | | 3 | "She tucked the cap under" | | 4 | "Her sharp jaw tightened as" | | 5 | "His fist gripped a small" | | 6 | "His coat carried dark grease" | | 7 | "His shoes held no dust" | | 8 | "His face showed no blow" | | 9 | "She checked his coat pockets" | | 10 | "She checked his trouser pockets." | | 11 | "Her leather satchel hung against" | | 12 | "She pushed them up and" | | 13 | "Her head reached Quinn's shoulder." | | 14 | "She pulled a book free" | | 15 | "She turned her body a" | | 16 | "It pointed at the dark" | | 17 | "She picked up the compass" | | 18 | "She set the compass on" | | 19 | "She set the compass beside" |
| | ratio | 0.204 | |
| 38.70% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 91 | | totalSentences | 108 | | matches | | 0 | "The rain hit the shutter" | | 1 | "Water ran down the back" | | 2 | "She squeezed between shutter and" | | 3 | "Iron rang under her palm." | | 4 | "She counted the steps and" | | 5 | "Torchlight caught the edge of" | | 6 | "Canvas roofs sagged over split" | | 7 | "Dust lay thick on the" | | 8 | "Trolley tracks cut through it" | | 9 | "DC Marsh stood beside a" | | 10 | "He lifted the notebook at" | | 11 | "Marsh tapped the notebook against" | | 12 | "Quinn pulled the cap from" | | 13 | "She tucked the cap under" | | 14 | "Her sharp jaw tightened as" | | 15 | "The worn leather watch on" | | 16 | "The man lay on his" | | 17 | "His fist gripped a small" | | 18 | "His coat carried dark grease" | | 19 | "His shoes held no dust" |
| | ratio | 0.843 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 108 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 37 | | tagDensity | 0.162 | | leniency | 0.324 | | rawRatio | 0 | | effectiveRatio | 0 | |