| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.27% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1058 | | 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) | |
| 71.64% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1058 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "warmth" | | 1 | "pulse" | | 2 | "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 | 0 | | narrationSentences | 109 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 109 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 114 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1058 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 10 | | wordCount | 1011 | | uniqueNames | 5 | | maxNameDensity | 0.59 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Heartstone | 1 | | Isolde | 1 | | Aurora | 6 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.836 | | wordCount | 1058 | | matches | | 0 | "Not warmer, not colder, but *thicker*, the air pressing against her skin the way deep wa" | | 1 | "not colder, but *thicker*, the air pressing against her skin the way deep wa" | | 2 | "neither nearer nor" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 114 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 25.8 | | std | 21.38 | | cv | 0.829 | | sampleLengths | | 0 | 8 | | 1 | 58 | | 2 | 29 | | 3 | 20 | | 4 | 51 | | 5 | 44 | | 6 | 7 | | 7 | 5 | | 8 | 67 | | 9 | 13 | | 10 | 50 | | 11 | 43 | | 12 | 2 | | 13 | 55 | | 14 | 7 | | 15 | 29 | | 16 | 16 | | 17 | 1 | | 18 | 3 | | 19 | 41 | | 20 | 29 | | 21 | 60 | | 22 | 7 | | 23 | 9 | | 24 | 3 | | 25 | 25 | | 26 | 13 | | 27 | 75 | | 28 | 11 | | 29 | 7 | | 30 | 13 | | 31 | 57 | | 32 | 17 | | 33 | 47 | | 34 | 15 | | 35 | 54 | | 36 | 3 | | 37 | 34 | | 38 | 1 | | 39 | 21 | | 40 | 8 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 109 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 170 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 114 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1015 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 32 | | adverbRatio | 0.03152709359605911 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.005911330049261084 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 114 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 114 | | mean | 9.28 | | std | 8.72 | | cv | 0.939 | | sampleLengths | | 0 | 8 | | 1 | 15 | | 2 | 4 | | 3 | 3 | | 4 | 36 | | 5 | 5 | | 6 | 3 | | 7 | 21 | | 8 | 10 | | 9 | 10 | | 10 | 4 | | 11 | 4 | | 12 | 29 | | 13 | 14 | | 14 | 10 | | 15 | 13 | | 16 | 4 | | 17 | 4 | | 18 | 13 | | 19 | 5 | | 20 | 2 | | 21 | 5 | | 22 | 5 | | 23 | 22 | | 24 | 3 | | 25 | 37 | | 26 | 5 | | 27 | 8 | | 28 | 4 | | 29 | 7 | | 30 | 21 | | 31 | 3 | | 32 | 2 | | 33 | 13 | | 34 | 19 | | 35 | 14 | | 36 | 10 | | 37 | 2 | | 38 | 3 | | 39 | 3 | | 40 | 31 | | 41 | 4 | | 42 | 14 | | 43 | 7 | | 44 | 1 | | 45 | 11 | | 46 | 15 | | 47 | 2 | | 48 | 1 | | 49 | 15 |
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| 55.85% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.40350877192982454 | | totalSentences | 114 | | uniqueOpeners | 46 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 90 | | matches | | 0 | "Just the tree, its inward-curling" | | 1 | "Then the one beside it." | | 2 | "Then the next, a ripple" | | 3 | "Then she looked closer and" | | 4 | "Then a fifth crossed them," | | 5 | "Then it was eleven." |
| | ratio | 0.067 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 90 | | matches | | 0 | "She was certain." | | 1 | "She told herself she'd miscounted." | | 2 | "They didn't make sense." | | 3 | "She stepped past the oaks." | | 4 | "Her voice didn't carry" | | 5 | "It dropped at her feet" | | 6 | "She'd come for answers." | | 7 | "She checked her phone." | | 8 | "Her legs didn't want to," | | 9 | "She turned a slow circle," | | 10 | "She snapped her gaze to" | | 11 | "She held to that." | | 12 | "She backed toward the oaks" | | 13 | "She felt the faint warmth" | | 14 | "She didn't run." | | 15 | "It sat where it had" | | 16 | "She'd felt herself move." | | 17 | "She didn't know the name." |
| | ratio | 0.2 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 90 | | matches | | 0 | "The standing stones weren't where" | | 1 | "Aurora stopped at the tree" | | 2 | "She was certain." | | 3 | "She told herself she'd miscounted." | | 4 | "People did that." | | 5 | "They didn't make sense." | | 6 | "That part was true." | | 7 | "Bluebells and foxgloves and something" | | 8 | "The grass between them held" | | 9 | "Aurora pressed her hand to" | | 10 | "The Heartstone lay quiet against" | | 11 | "Whatever the grove was, it" | | 12 | "That should have comforted her." | | 13 | "She stepped past the oaks." | | 14 | "The temperature changed at once." | | 15 | "Sound fell away." | | 16 | "The distant grumble of the" | | 17 | "Her voice didn't carry" | | 18 | "It dropped at her feet" | | 19 | "She'd come for answers." |
| | ratio | 0.656 | |
| 55.56% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 90 | | matches | | 0 | "Now six ringed the clearing," |
| | ratio | 0.011 | |
| 83.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 3 | | matches | | 0 | "Then the next, a ripple running through the whole ring of them, petals tipping one after another as though something low to the ground passed by, parting them, …" | | 1 | "Then she looked closer and saw them, four pale lines drawn in the frost that hadn't been there a moment ago, frost that had no business existing when her own br…" | | 2 | "From the empty air a few feet to her right, at the exact height of a person's mouth, as though someone stood beside her with their lips near her ear, humming th…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |