| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.462 | | leniency | 0.923 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 85.48% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1033 | | totalAiIsmAdverbs | 3 | | 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) | |
| 37.08% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1033 | | totalAiIsms | 13 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | word | "the last thing" | | count | 1 |
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| | highlights | | 0 | "warmth" | | 1 | "silence" | | 2 | "sentinels" | | 3 | "scanning" | | 4 | "stomach" | | 5 | "the last thing" |
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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 | 86 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 86 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 93 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 16 | | totalWords | 1033 | | ratio | 0.015 | | matches | | 0 | "Just go. Trust me. They'll explain everything." | | 1 | "Pulses faintly with warmth when near a Hel portal." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 980 | | uniqueNames | 8 | | maxNameDensity | 0.61 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 6 | | Richmond | 1 | | Heartstone | 3 | | London | 1 | | Eva | 2 | | God | 1 | | Small | 1 | | Hel | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Heartstone" | | 2 | "Eva" | | 3 | "God" |
| | places | | 0 | "Richmond" | | 1 | "London" | | 2 | "Hel" |
| | globalScore | 1 | | windowScore | 1 | |
| 50.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 2 | | matches | | 0 | "quite name in the dark" | | 1 | "quite find it" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.968 | | wordCount | 1033 | | matches | | 0 | "Not with words, of course, but with" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 93 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 27.18 | | std | 21.93 | | cv | 0.807 | | sampleLengths | | 0 | 18 | | 1 | 60 | | 2 | 8 | | 3 | 36 | | 4 | 5 | | 5 | 65 | | 6 | 32 | | 7 | 14 | | 8 | 66 | | 9 | 5 | | 10 | 28 | | 11 | 1 | | 12 | 8 | | 13 | 78 | | 14 | 36 | | 15 | 15 | | 16 | 2 | | 17 | 40 | | 18 | 2 | | 19 | 48 | | 20 | 9 | | 21 | 47 | | 22 | 3 | | 23 | 45 | | 24 | 8 | | 25 | 49 | | 26 | 14 | | 27 | 32 | | 28 | 66 | | 29 | 2 | | 30 | 7 | | 31 | 49 | | 32 | 9 | | 33 | 32 | | 34 | 32 | | 35 | 37 | | 36 | 23 | | 37 | 2 |
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| 93.02% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 86 | | matches | | 0 | "been occupied" | | 1 | "is occupied" | | 2 | "was gone" | | 3 | "being tested" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 162 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 93 | | ratio | 0 | | matches | (empty) | |
| 94.90% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 982 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 45 | | adverbRatio | 0.045824847250509164 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.0050916496945010185 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 11.11 | | std | 9.96 | | cv | 0.897 | | sampleLengths | | 0 | 18 | | 1 | 9 | | 2 | 30 | | 3 | 21 | | 4 | 4 | | 5 | 4 | | 6 | 5 | | 7 | 23 | | 8 | 5 | | 9 | 3 | | 10 | 5 | | 11 | 3 | | 12 | 25 | | 13 | 14 | | 14 | 5 | | 15 | 18 | | 16 | 7 | | 17 | 2 | | 18 | 4 | | 19 | 8 | | 20 | 9 | | 21 | 2 | | 22 | 7 | | 23 | 7 | | 24 | 7 | | 25 | 20 | | 26 | 2 | | 27 | 2 | | 28 | 21 | | 29 | 5 | | 30 | 9 | | 31 | 5 | | 32 | 2 | | 33 | 1 | | 34 | 25 | | 35 | 1 | | 36 | 8 | | 37 | 10 | | 38 | 3 | | 39 | 42 | | 40 | 23 | | 41 | 4 | | 42 | 4 | | 43 | 7 | | 44 | 21 | | 45 | 7 | | 46 | 1 | | 47 | 7 | | 48 | 2 | | 49 | 27 |
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| 68.82% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.45161290322580644 | | totalSentences | 93 | | uniqueOpeners | 42 | |
| 93.90% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 71 | | matches | | 0 | "Just the wall of oaks," | | 1 | "Of course they were." |
| | ratio | 0.028 | |
| 34.08% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 71 | | matches | | 0 | "She'd come because the pendant" | | 1 | "She felt it on the" | | 2 | "They shouldn't have been there." | | 3 | "It was the wrong season" | | 4 | "She pulled her phone from" | | 5 | "She'd left the gate at," | | 6 | "It had taken longer than" | | 7 | "she said to the empty" | | 8 | "They'll explain everything.* And Aurora," | | 9 | "They all looked the same" | | 10 | "Her voice sounded thin" | | 11 | "It was soft, and high," | | 12 | "She spun, heart slamming, scanning" | | 13 | "She didn't know where that" | | 14 | "She'd never heard the word." | | 15 | "It rose in her mind" | | 16 | "She wasn't alone." | | 17 | "She'd been not-alone since the" | | 18 | "She understood that now." | | 19 | "It had been occupied, the" |
| | ratio | 0.465 | |
| 65.63% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 71 | | matches | | 0 | "The standing stones rose from" | | 1 | "She'd come because the pendant" | | 2 | "The grove answered with silence." | | 3 | "This was a held silence." | | 4 | "A waiting one." | | 5 | "Aurora stepped between the stones." | | 6 | "The temperature changed." | | 7 | "She felt it on the" | | 8 | "Wildflowers, hundreds of them, blooming" | | 9 | "They shouldn't have been there." | | 10 | "It was the wrong season" | | 11 | "She pulled her phone from" | | 12 | "The clock read 11:47." | | 13 | "She'd left the gate at," | | 14 | "It had taken longer than" | | 15 | "she said to the empty" | | 16 | "Eva had said a lot" | | 17 | "Eva had pressed the address" | | 18 | "They'll explain everything.* And Aurora," | | 19 | "A twig snapped behind her." |
| | ratio | 0.789 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 71 | | matches | | 0 | "Now, standing at the edge" | | 1 | "Because the pendant had warmed." | | 2 | "Because some part of her" |
| | ratio | 0.042 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 3 | | matches | | 0 | "Not with words, of course, but with that slow, insistent warmth that had started somewhere on the bus into Richmond and grown stronger with every step deeper in…" | | 1 | "Some animal part of her, older and wiser than the part that had walked in here, knew that turning around would be the last thing she ever did." | | 2 | "The Heartstone flared, and the light of it threw her shadow long across the flowers, and beside her own shadow stretched another, tall and thin, with a head tha…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 3 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she announced (announce)" | | 2 | "it breathed (breathe)" |
| | dialogueSentences | 13 | | tagDensity | 0.308 | | leniency | 0.615 | | rawRatio | 0.75 | | effectiveRatio | 0.462 | |