| 12.50% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 3 | | adverbTags | | 0 | "Isolde said serenely [serenely]" | | 1 | "she said quietly [quietly]" | | 2 | "Isolde said softly [softly]" |
| | dialogueSentences | 26 | | tagDensity | 0.615 | | leniency | 1 | | rawRatio | 0.188 | | effectiveRatio | 0.188 | |
| 81.40% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1075 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "perfectly" | | 1 | "very" | | 2 | "softly" | | 3 | "quickly" |
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| 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) | |
| 67.44% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1075 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "whisper" | | 1 | "pulse" | | 2 | "silence" | | 3 | "unreadable" | | 4 | "pulsed" |
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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 | 67 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 67 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 79 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1075 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 71.50% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 828 | | uniqueNames | 11 | | maxNameDensity | 1.57 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Carter | 1 | | Richmond | 1 | | Ahead | 1 | | Kingston | 1 | | Seer | 2 | | Rory | 13 | | Isolde | 7 | | Nyx | 4 | | Heartstone | 1 | | February | 1 | | Fae-forged | 1 |
| | persons | | 0 | "Carter" | | 1 | "Seer" | | 2 | "Rory" | | 3 | "Isolde" | | 4 | "Nyx" |
| | places | | 0 | "Richmond" | | 1 | "Kingston" | | 2 | "February" |
| | globalScore | 0.715 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 42 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.93 | | wordCount | 1075 | | matches | | 0 | "not the silence of an empty place but the silence of a held breath, deep" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 79 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 34.68 | | std | 27.28 | | cv | 0.787 | | sampleLengths | | 0 | 85 | | 1 | 55 | | 2 | 3 | | 3 | 9 | | 4 | 78 | | 5 | 61 | | 6 | 59 | | 7 | 3 | | 8 | 9 | | 9 | 5 | | 10 | 79 | | 11 | 7 | | 12 | 38 | | 13 | 29 | | 14 | 75 | | 15 | 4 | | 16 | 31 | | 17 | 3 | | 18 | 73 | | 19 | 5 | | 20 | 58 | | 21 | 55 | | 22 | 38 | | 23 | 41 | | 24 | 8 | | 25 | 47 | | 26 | 4 | | 27 | 24 | | 28 | 56 | | 29 | 17 | | 30 | 16 |
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| 94.79% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 67 | | matches | | 0 | "was threaded" | | 1 | "been worn" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 133 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 79 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 226 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 5 | | adverbRatio | 0.022123893805309734 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.004424778761061947 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 79 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 79 | | mean | 13.61 | | std | 10.38 | | cv | 0.763 | | sampleLengths | | 0 | 28 | | 1 | 13 | | 2 | 24 | | 3 | 20 | | 4 | 8 | | 5 | 23 | | 6 | 10 | | 7 | 3 | | 8 | 11 | | 9 | 3 | | 10 | 4 | | 11 | 5 | | 12 | 3 | | 13 | 24 | | 14 | 12 | | 15 | 22 | | 16 | 17 | | 17 | 12 | | 18 | 24 | | 19 | 25 | | 20 | 8 | | 21 | 20 | | 22 | 18 | | 23 | 3 | | 24 | 10 | | 25 | 3 | | 26 | 7 | | 27 | 2 | | 28 | 5 | | 29 | 7 | | 30 | 19 | | 31 | 38 | | 32 | 15 | | 33 | 5 | | 34 | 2 | | 35 | 10 | | 36 | 28 | | 37 | 5 | | 38 | 12 | | 39 | 12 | | 40 | 5 | | 41 | 34 | | 42 | 11 | | 43 | 25 | | 44 | 4 | | 45 | 3 | | 46 | 28 | | 47 | 3 | | 48 | 3 | | 49 | 40 |
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| 86.08% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5316455696202531 | | totalSentences | 79 | | uniqueOpeners | 42 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 56 | | matches | | 0 | "Only the faint violet glow" | | 1 | "Then the reflection blinked a" | | 2 | "Somewhere beyond the trees, low" |
| | ratio | 0.054 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 56 | | matches | | 0 | "They had already slid halfway" | | 1 | "She had seen it only" | | 2 | "She touched the silver chain" | | 3 | "It had been growing warmer" | | 4 | "She didn't want to think" | | 5 | "It was not the silence" | | 6 | "she said quietly" | | 7 | "She swore under her breath" | | 8 | "Their branches met overhead in" | | 9 | "They walked on." | | 10 | "Her reflection looked back at" | | 11 | "She stood up very fast." | | 12 | "Their shadow lay across the" | | 13 | "She reached out and touched" | | 14 | "Her blade shifted against her" | | 15 | "She had not drawn it," |
| | ratio | 0.286 | |
| 58.21% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 45 | | totalSentences | 56 | | matches | | 0 | "The standing stones rose out" | | 1 | "Aurora Carter stopped at the" | | 2 | "The Seer walked at the" | | 3 | "Rory had stopped looking for" | | 4 | "Isolde said serenely" | | 5 | "Nyx said nothing." | | 6 | "They had already slid halfway" | | 7 | "Rory could see it too," | | 8 | "A faint shimmer hung between" | | 9 | "She had seen it only" | | 10 | "She touched the silver chain" | | 11 | "The Heartstone pendant was warm" | | 12 | "It had been growing warmer" | | 13 | "Hel was close." | | 14 | "She didn't want to think" | | 15 | "Rory stepped between two stones." | | 16 | "The cold hit first, then" | | 17 | "It was not the silence" | | 18 | "The bracken gave way to" | | 19 | "Bees moved among them, slow" |
| | ratio | 0.804 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 58.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 4 | | matches | | 0 | "The Heartstone pendant was warm against her collarbone, warm in a way that had nothing to do with her skin." | | 1 | "The bracken gave way to grass so fine and green it looked painted, and the grass was threaded with wildflowers: foxglove and harebell, white campion, yellow tor…" | | 2 | "Trees stood in a ring, oaks so old their trunks had split into separate columns, each one grown around a standing stone as if the wood had tried to swallow it a…" | | 3 | "Their shadow lay across the pool and did not lie flat on the surface, but rose a little, bending toward the glowing star as though it were something to be worsh…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 34.62% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 3 | | fancyTags | | 0 | "Rory muttered (mutter)" | | 1 | "Nyx whispered (whisper)" | | 2 | "Isolde agreed (agree)" |
| | dialogueSentences | 26 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.231 | | effectiveRatio | 0.231 | |