| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1708 | | 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) | |
| 61.94% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1708 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "familiar" | | 1 | "pulsed" | | 2 | "flicker" | | 3 | "warmth" | | 4 | "throb" | | 5 | "weight" | | 6 | "trembled" | | 7 | "echo" | | 8 | "flickered" | | 9 | "pulse" | | 10 | "silence" |
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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 | 1 | | narrationSentences | 223 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 223 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 228 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 23 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1708 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 84.05% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 1668 | | uniqueNames | 6 | | maxNameDensity | 1.32 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Park | 1 | | Heartstone | 3 | | Eva | 4 | | Grove | 2 | | Aurora | 22 | | One | 4 |
| | persons | | 0 | "Heartstone" | | 1 | "Eva" | | 2 | "Aurora" | | 3 | "One" |
| | places | | | globalScore | 0.841 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 131 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like a piece of dark glass" | | 1 | "appeared dry" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1708 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 228 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 101 | | mean | 16.91 | | std | 14.03 | | cv | 0.829 | | sampleLengths | | 0 | 19 | | 1 | 43 | | 2 | 33 | | 3 | 14 | | 4 | 25 | | 5 | 58 | | 6 | 9 | | 7 | 27 | | 8 | 8 | | 9 | 12 | | 10 | 57 | | 11 | 3 | | 12 | 4 | | 13 | 47 | | 14 | 29 | | 15 | 22 | | 16 | 5 | | 17 | 9 | | 18 | 4 | | 19 | 34 | | 20 | 3 | | 21 | 5 | | 22 | 30 | | 23 | 4 | | 24 | 58 | | 25 | 6 | | 26 | 12 | | 27 | 3 | | 28 | 6 | | 29 | 7 | | 30 | 7 | | 31 | 3 | | 32 | 6 | | 33 | 29 | | 34 | 6 | | 35 | 29 | | 36 | 28 | | 37 | 4 | | 38 | 5 | | 39 | 27 | | 40 | 11 | | 41 | 15 | | 42 | 15 | | 43 | 1 | | 44 | 5 | | 45 | 20 | | 46 | 11 | | 47 | 18 | | 48 | 5 | | 49 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 223 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 263 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 228 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 842 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.028503562945368172 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 228 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 228 | | mean | 7.49 | | std | 4.54 | | cv | 0.607 | | sampleLengths | | 0 | 19 | | 1 | 6 | | 2 | 19 | | 3 | 12 | | 4 | 6 | | 5 | 6 | | 6 | 21 | | 7 | 6 | | 8 | 14 | | 9 | 8 | | 10 | 6 | | 11 | 6 | | 12 | 5 | | 13 | 14 | | 14 | 5 | | 15 | 15 | | 16 | 13 | | 17 | 11 | | 18 | 9 | | 19 | 4 | | 20 | 4 | | 21 | 4 | | 22 | 8 | | 23 | 2 | | 24 | 5 | | 25 | 8 | | 26 | 12 | | 27 | 6 | | 28 | 18 | | 29 | 9 | | 30 | 18 | | 31 | 6 | | 32 | 3 | | 33 | 4 | | 34 | 12 | | 35 | 14 | | 36 | 7 | | 37 | 9 | | 38 | 5 | | 39 | 7 | | 40 | 2 | | 41 | 4 | | 42 | 16 | | 43 | 13 | | 44 | 4 | | 45 | 5 | | 46 | 5 | | 47 | 2 | | 48 | 7 | | 49 | 4 |
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| 44.71% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.2026431718061674 | | totalSentences | 227 | | uniqueOpeners | 46 | |
| 98.52% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 203 | | matches | | 0 | "Even the wind had stopped." | | 1 | "Then a third, close enough" | | 2 | "Instead, she went back the" | | 3 | "Then every leaf turned to" | | 4 | "Then, from beneath the flowers," | | 5 | "Then a breath, close and" |
| | ratio | 0.03 | |
| 99.80% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 61 | | totalSentences | 203 | | matches | | 0 | "Her torch caught pale trunks," | | 1 | "Its silver chain had snagged" | | 2 | "Her voice slipped between the" | | 3 | "She had come because the" | | 4 | "She sent Eva a message:" | | 5 | "I’m heading back in ten." | | 6 | "She pocketed the phone and" | | 7 | "Her torch swept across a" | | 8 | "Their heads turned in the" | | 9 | "She expected the Grove to" | | 10 | "She glanced over her shoulder." | | 11 | "Their lichen-scarred sides leaned towards" | | 12 | "She took her hand away." | | 13 | "she told herself" | | 14 | "She cleared her throat and" | | 15 | "Its surface held a faint" | | 16 | "It had no direction." | | 17 | "She felt it in her" | | 18 | "Her torch blinked out." | | 19 | "She thumbed the switch." |
| | ratio | 0.3 | |
| 28.97% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 175 | | totalSentences | 203 | | matches | | 0 | "The standing stones stood in" | | 1 | "Aurora stopped at the first" | | 2 | "Richmond Park stretched behind her," | | 3 | "Her torch caught pale trunks," | | 4 | "The Heartstone rested against her" | | 5 | "Its silver chain had snagged" | | 6 | "The deep-red gem warmed her" | | 7 | "Her voice slipped between the" | | 8 | "She had come because the" | | 9 | "A steady throb beneath her" | | 10 | "The map pin on her" | | 11 | "Here, the gem had glowed" | | 12 | "Aurora checked her phone." | | 13 | "The time read 11:47." | | 14 | "She sent Eva a message:" | | 15 | "I’m heading back in ten." | | 16 | "The message sat beneath a" | | 17 | "She pocketed the phone and" | | 18 | "The air changed against her" | | 19 | "A damp, earthy smell gave" |
| | ratio | 0.862 | |
| 24.63% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 203 | | matches | | | ratio | 0.005 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 3 | | matches | | 0 | "Their lichen-scarred sides leaned towards each other, as if the dark had put weight on them." | | 1 | "Its surface held a faint inner glow, red at the centre, as if a coal sat under the stone." | | 2 | "Grass flattened in a broad circle near the red glow, as if a body had risen from a crouch." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 8 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.667 | | effectiveRatio | 0.5 | |