| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 4 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.01% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1251 | | 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) | |
| 40.05% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1251 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "throb" | | 1 | "could feel" | | 2 | "pulse" | | 3 | "pulsed" | | 4 | "sentinel" | | 5 | "warmth" | | 6 | "silence" | | 7 | "flicker" |
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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 | 117 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 117 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 119 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 53 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 4 | | totalWords | 1251 | | ratio | 0.003 | | matches | | |
| 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 | 24 | | wordCount | 1197 | | uniqueNames | 14 | | maxNameDensity | 0.42 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 3 | | Park | 2 | | Golden | 2 | | Empress | 2 | | Isabella | 1 | | Plantation | 1 | | Heartstone | 1 | | Pendant | 1 | | November | 2 | | Isolde | 1 | | Eva | 1 | | Evan | 1 | | Cardiff | 1 | | Rory | 5 |
| | persons | | 0 | "Empress" | | 1 | "Pendant" | | 2 | "Isolde" | | 3 | "Eva" | | 4 | "Evan" | | 5 | "Rory" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Golden" | | 3 | "Isabella" | | 4 | "Plantation" | | 5 | "November" | | 6 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.799 | | wordCount | 1251 | | matches | | 0 | "not in her hand but somewhere behind her ribs" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 119 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 25.53 | | std | 19.03 | | cv | 0.746 | | sampleLengths | | 0 | 6 | | 1 | 70 | | 2 | 8 | | 3 | 63 | | 4 | 51 | | 5 | 2 | | 6 | 6 | | 7 | 66 | | 8 | 53 | | 9 | 67 | | 10 | 4 | | 11 | 21 | | 12 | 7 | | 13 | 47 | | 14 | 15 | | 15 | 15 | | 16 | 33 | | 17 | 33 | | 18 | 18 | | 19 | 2 | | 20 | 38 | | 21 | 6 | | 22 | 43 | | 23 | 13 | | 24 | 5 | | 25 | 19 | | 26 | 36 | | 27 | 19 | | 28 | 22 | | 29 | 12 | | 30 | 19 | | 31 | 19 | | 32 | 36 | | 33 | 3 | | 34 | 50 | | 35 | 9 | | 36 | 3 | | 37 | 24 | | 38 | 3 | | 39 | 16 | | 40 | 34 | | 41 | 28 | | 42 | 22 | | 43 | 32 | | 44 | 28 | | 45 | 40 | | 46 | 5 | | 47 | 34 | | 48 | 46 |
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| 93.27% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 117 | | matches | | 0 | "been given" | | 1 | "been filtered" | | 2 | "was swallowed" | | 3 | "were gone" |
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| 17.85% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 183 | | matches | | 0 | "was being" | | 1 | "was being" | | 2 | "was still glowing" | | 3 | "was listening" | | 4 | "was holding" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 119 | | ratio | 0 | | matches | (empty) | |
| 84.03% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 103 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 6 | | adverbRatio | 0.05825242718446602 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.009708737864077669 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 119 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 119 | | mean | 10.51 | | std | 8.99 | | cv | 0.856 | | sampleLengths | | 0 | 6 | | 1 | 48 | | 2 | 17 | | 3 | 5 | | 4 | 8 | | 5 | 34 | | 6 | 20 | | 7 | 4 | | 8 | 3 | | 9 | 2 | | 10 | 15 | | 11 | 31 | | 12 | 5 | | 13 | 2 | | 14 | 6 | | 15 | 5 | | 16 | 21 | | 17 | 15 | | 18 | 16 | | 19 | 9 | | 20 | 11 | | 21 | 11 | | 22 | 14 | | 23 | 17 | | 24 | 15 | | 25 | 52 | | 26 | 4 | | 27 | 6 | | 28 | 3 | | 29 | 12 | | 30 | 7 | | 31 | 12 | | 32 | 8 | | 33 | 11 | | 34 | 16 | | 35 | 15 | | 36 | 8 | | 37 | 4 | | 38 | 3 | | 39 | 2 | | 40 | 5 | | 41 | 26 | | 42 | 5 | | 43 | 9 | | 44 | 7 | | 45 | 12 | | 46 | 18 | | 47 | 2 | | 48 | 24 | | 49 | 14 |
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| 25.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 30 | | diversityRatio | 0.2184873949579832 | | totalSentences | 119 | | uniqueOpeners | 26 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 106 | | matches | | 0 | "Instead she walked to the" | | 1 | "Then the clicking came again," | | 2 | "Only the five oaks, and" | | 3 | "Somewhere far off, a dog" |
| | ratio | 0.038 | |
| 72.83% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 106 | | matches | | 0 | "She knew the way the" | | 1 | "She did not know this." | | 2 | "She had taken it off" | | 3 | "It had been steady for" | | 4 | "She had followed it on" | | 5 | "She stopped where the trees" | | 6 | "She had read about them" | | 7 | "She lifted the silver chain" | | 8 | "She had come because Eva" | | 9 | "She was being stupid." | | 10 | "She told herself it was" | | 11 | "She took a step inside" | | 12 | "Her voice sounded flat and" | | 13 | "She cleared her throat." | | 14 | "She should have turned back." | | 15 | "She had a shift at" | | 16 | "She had a flat to" | | 17 | "She had an ex named" | | 18 | "She didn’t move fast." | | 19 | "She watched the edge of" |
| | ratio | 0.368 | |
| 30.75% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 91 | | totalSentences | 106 | | matches | | 0 | "The park was wrong after" | | 1 | "Aurora had cycled through Richmond" | | 2 | "She knew the way the" | | 3 | "She did not know this." | | 4 | "The Heartstone Pendant was warm" | | 5 | "She had taken it off" | | 6 | "It had been steady for" | | 7 | "Tonight it had flared." | | 8 | "She had followed it on" | | 9 | "The pendant had led her" | | 10 | "The wildflowers were in bloom." | | 11 | "She stopped where the trees" | | 12 | "The standing stones were there." | | 13 | "She had read about them" | | 14 | "The grass inside was soft" | | 15 | "The air was warmer than" | | 16 | "Rory touched the crescent scar" | | 17 | "The pendant was warm now," | | 18 | "She lifted the silver chain" | | 19 | "The gemstone, roughly the size" |
| | ratio | 0.858 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 106 | | matches | (empty) | | ratio | 0 | |
| 82.07% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 4 | | matches | | 0 | "And because the pendant had been given to her by an unknown benefactor three weeks ago, slipped into her delivery bag at the restaurant with no note, and becaus…" | | 1 | "Not dimmer or brighter, just different, as if the night had been filtered through something thicker." | | 2 | "The faint inner glow flared, deep crimson, and the warmth rolled out in a slow wave that made the hairs on her arms rise." | | 3 | "The kind of silence that meant something was holding its breath." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 4 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |