| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 5 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1304 | | 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) | |
| 76.99% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1304 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "pulse" | | 1 | "quickened" | | 2 | "throbbed" | | 3 | "throb" |
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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 | 82 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 82 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 87 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 54 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1304 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 9 | | wordCount | 1215 | | uniqueNames | 6 | | maxNameDensity | 0.33 | | worstName | "Richmond" | | maxWindowNameDensity | 1 | | worstWindowName | "Richmond" | | discoveredNames | | Richmond | 4 | | Road | 1 | | Golden | 1 | | Empress | 1 | | Heartstone | 1 | | Park | 1 |
| | persons | (empty) | | places | | 0 | "Richmond" | | 1 | "Road" | | 2 | "Golden" | | 3 | "Park" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | 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 | 1304 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 87 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 16 | | mean | 81.5 | | std | 54.92 | | cv | 0.674 | | sampleLengths | | 0 | 167 | | 1 | 5 | | 2 | 121 | | 3 | 145 | | 4 | 13 | | 5 | 101 | | 6 | 120 | | 7 | 1 | | 8 | 111 | | 9 | 110 | | 10 | 30 | | 11 | 117 | | 12 | 107 | | 13 | 11 | | 14 | 123 | | 15 | 22 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 160 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 87 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 142 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 2 | | adverbRatio | 0.014084507042253521 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 87 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 87 | | mean | 14.99 | | std | 11.38 | | cv | 0.759 | | sampleLengths | | 0 | 18 | | 1 | 28 | | 2 | 22 | | 3 | 3 | | 4 | 1 | | 5 | 1 | | 6 | 46 | | 7 | 18 | | 8 | 30 | | 9 | 5 | | 10 | 7 | | 11 | 6 | | 12 | 47 | | 13 | 11 | | 14 | 6 | | 15 | 5 | | 16 | 12 | | 17 | 27 | | 18 | 24 | | 19 | 20 | | 20 | 30 | | 21 | 13 | | 22 | 19 | | 23 | 20 | | 24 | 7 | | 25 | 1 | | 26 | 6 | | 27 | 5 | | 28 | 13 | | 29 | 7 | | 30 | 13 | | 31 | 13 | | 32 | 18 | | 33 | 22 | | 34 | 5 | | 35 | 23 | | 36 | 6 | | 37 | 17 | | 38 | 11 | | 39 | 6 | | 40 | 5 | | 41 | 27 | | 42 | 7 | | 43 | 4 | | 44 | 37 | | 45 | 1 | | 46 | 11 | | 47 | 8 | | 48 | 2 | | 49 | 4 |
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| 32.76% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.28735632183908044 | | totalSentences | 87 | | uniqueOpeners | 25 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 38.18% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 77 | | matches | | 0 | "She reached the iron gate" | | 1 | "Her delivery bag still hung" | | 2 | "She had carried that note" | | 3 | "She stared at the padlock," | | 4 | "Her reflection floated in a" | | 5 | "She tested the rails with" | | 6 | "She walked the fence line" | | 7 | "She squeezed through sideways, bag" | | 8 | "She kept her phone light" | | 9 | "She counted the stones as" | | 10 | "She touched the pendant through" | | 11 | "She had worn it for" | | 12 | "She pressed her thumb against" | | 13 | "She zipped her coat higher" | | 14 | "She took a step and" | | 15 | "She took another step and" | | 16 | "She lifted her face to" | | 17 | "Her voice came back off" | | 18 | "She waited for another voice" | | 19 | "She fixed her eyes on" |
| | ratio | 0.455 | |
| 11.95% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 77 | | matches | | 0 | "She reached the iron gate" | | 1 | "Her delivery bag still hung" | | 2 | "The note sat in her" | | 3 | "She had carried that note" | | 4 | "She stared at the padlock," | | 5 | "Her reflection floated in a" | | 6 | "She tested the rails with" | | 7 | "The leather of her gloves" | | 8 | "She walked the fence line" | | 9 | "She squeezed through sideways, bag" | | 10 | "The park swallowed sound behind" | | 11 | "Trees rose in black columns." | | 12 | "The grass soaked through the" | | 13 | "A fox crossed the path" | | 14 | "The deer path led her" | | 15 | "She kept her phone light" | | 16 | "Wildflowers grew between them in" | | 17 | "Bluebells, cornflowers, poppies torn open" | | 18 | "The scent hit her at" | | 19 | "She counted the stones as" |
| | ratio | 0.896 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 2 | | matches | | 0 | "She turned in a slow circle to get her bearings and found footprints in the dew behind her, her own bootprints coming out of the dark, and beside each print a s…" | | 1 | "It became visible in the place, taller than a person, shoulders narrow, head tilted at an angle her neck could not copy, and the wildflowers bent away from it i…" |
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| 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 | |