| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 52 | | tagDensity | 0.385 | | leniency | 0.769 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 82.32% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1414 | | totalAiIsmAdverbs | 5 | | 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) | |
| 82.32% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1414 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "quickened" | | 1 | "pulse" | | 2 | "warmth" | | 3 | "weight" |
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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 | 95 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 95 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 126 | | 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 | 1414 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 1094 | | uniqueNames | 12 | | maxNameDensity | 0.91 | | worstName | "Nyx" | | maxWindowNameDensity | 2 | | worstWindowName | "Nyx" | | discoveredNames | | London | 1 | | English | 1 | | Nyx | 10 | | Veil | 1 | | Heartstone | 1 | | Hel | 1 | | Rory | 9 | | Flowers | 1 | | December | 2 | | Evan | 1 | | Isolde | 1 | | Varga | 1 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 36.36% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 3 | | matches | | 0 | "sounded like something carried a long way" | | 1 | "something like distant bells, though when sh" | | 2 | "quite a path, a thinner place in the blossoms, pale earth showing between the stems" |
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| 58.56% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.414 | | wordCount | 1414 | | matches | | 0 | "Not stone shaped like trees, but whole trunks" | | 1 | "Not oaks now, but older, stranger things: pale birches with bark" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 126 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 59 | | mean | 23.97 | | std | 23.55 | | cv | 0.983 | | sampleLengths | | 0 | 19 | | 1 | 75 | | 2 | 9 | | 3 | 44 | | 4 | 6 | | 5 | 11 | | 6 | 44 | | 7 | 6 | | 8 | 13 | | 9 | 73 | | 10 | 20 | | 11 | 6 | | 12 | 7 | | 13 | 5 | | 14 | 4 | | 15 | 13 | | 16 | 53 | | 17 | 10 | | 18 | 77 | | 19 | 13 | | 20 | 5 | | 21 | 4 | | 22 | 4 | | 23 | 5 | | 24 | 48 | | 25 | 7 | | 26 | 56 | | 27 | 5 | | 28 | 10 | | 29 | 29 | | 30 | 18 | | 31 | 79 | | 32 | 28 | | 33 | 5 | | 34 | 55 | | 35 | 1 | | 36 | 23 | | 37 | 50 | | 38 | 3 | | 39 | 50 | | 40 | 3 | | 41 | 4 | | 42 | 22 | | 43 | 89 | | 44 | 26 | | 45 | 1 | | 46 | 6 | | 47 | 17 | | 48 | 52 | | 49 | 7 |
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| 90.49% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 95 | | matches | | 0 | "were fixed" | | 1 | "been left" | | 2 | "been dipped" | | 3 | "been told" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 190 | | matches | | 0 | "was looking" | | 1 | "was tidying" | | 2 | "was walking" | | 3 | "was walking" | | 4 | "were coming" | | 5 | "was watching" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 126 | | ratio | 0 | | matches | (empty) | |
| 98.31% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1097 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 46 | | adverbRatio | 0.041932543299908843 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.010938924339106655 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 126 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 126 | | mean | 11.22 | | std | 8.69 | | cv | 0.774 | | sampleLengths | | 0 | 19 | | 1 | 8 | | 2 | 20 | | 3 | 3 | | 4 | 27 | | 5 | 17 | | 6 | 9 | | 7 | 18 | | 8 | 16 | | 9 | 10 | | 10 | 6 | | 11 | 11 | | 12 | 4 | | 13 | 21 | | 14 | 19 | | 15 | 6 | | 16 | 13 | | 17 | 11 | | 18 | 40 | | 19 | 12 | | 20 | 10 | | 21 | 7 | | 22 | 6 | | 23 | 5 | | 24 | 2 | | 25 | 3 | | 26 | 3 | | 27 | 7 | | 28 | 5 | | 29 | 4 | | 30 | 2 | | 31 | 11 | | 32 | 4 | | 33 | 16 | | 34 | 33 | | 35 | 10 | | 36 | 1 | | 37 | 12 | | 38 | 23 | | 39 | 21 | | 40 | 20 | | 41 | 6 | | 42 | 7 | | 43 | 5 | | 44 | 4 | | 45 | 4 | | 46 | 5 | | 47 | 12 | | 48 | 10 | | 49 | 26 |
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| 73.02% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.47619047619047616 | | totalSentences | 126 | | uniqueOpeners | 60 | |
| 85.47% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 78 | | matches | | 0 | "Then the sound came: a" | | 1 | "Then, as she watched, the" |
| | ratio | 0.026 | |
| 71.28% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 78 | | matches | | 0 | "They were oak." | | 1 | "It always sounded like something" | | 2 | "She glanced at them." | | 3 | "Their violet eyes were fixed" | | 4 | "She could see it, too," | | 5 | "She touched the Heartstone through" | | 6 | "It lay cool against her" | | 7 | "It didn't fade so much" | | 8 | "They rose to her knees" | | 9 | "It simply was, soft and" | | 10 | "She crouched and touched a" | | 11 | "She stood, and found that" | | 12 | "They followed a path that" | | 13 | "She looked back after a" | | 14 | "Their head tilted." | | 15 | "She'd been told as much:" | | 16 | "She made herself let go." | | 17 | "She checked her phone." | | 18 | "She'd checked it at the" | | 19 | "She watched the colon." |
| | ratio | 0.372 | |
| 88.21% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 78 | | matches | | 0 | "The standing stones were older" | | 1 | "Rory stopped a few paces" | | 2 | "They were oak." | | 3 | "December wind combed through the" | | 4 | "Nyx's voice came from beside" | | 5 | "It always sounded like something" | | 6 | "She glanced at them." | | 7 | "Nyx stood a head above" | | 8 | "Their violet eyes were fixed" | | 9 | "She could see it, too," | | 10 | "The Veil was not something" | | 11 | "She touched the Heartstone through" | | 12 | "It lay cool against her" | | 13 | "The cold went first." | | 14 | "It didn't fade so much" | | 15 | "That was the first thing," | | 16 | "Foxglove and bluebells, poppies, something" | | 17 | "They rose to her knees" | | 18 | "It simply was, soft and" | | 19 | "She crouched and touched a" |
| | ratio | 0.744 | |
| 64.10% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 78 | | matches | | 0 | "Now the air between the" |
| | ratio | 0.013 | |
| 67.67% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 4 | | matches | | 0 | "Not stone shaped like trees, but whole trunks that had been cut and raised and then never rotted, never split, never surrendered to a single English winter." | | 1 | "Foxglove and bluebells, poppies, something tall and violet she couldn't name, all blooming in a December that had been left outside the stones." | | 2 | "It simply was, soft and lateral, as if the whole clearing had been dipped in late afternoon and kept there." | | 3 | "But every bloom in a wide circle now faced her, patient and attentive, like a crowd that has gone quiet when someone stood up to speak." |
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| 50.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 3 | | matches | | 0 | "She lifted, the pool, the ring of stones" | | 1 | "She closed, and the warmth ebbed to nothing" | | 2 | "said Isolde Varga, and the bells stopped" |
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| 53.85% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 5 | | fancyTags | | 0 | "Nyx breathed (breathe)" | | 1 | "she muttered (mutter)" | | 2 | "She'd (would)" | | 3 | "she whispered (whisper)" | | 4 | "they whispered (whisper)" |
| | dialogueSentences | 52 | | tagDensity | 0.231 | | leniency | 0.462 | | rawRatio | 0.417 | | effectiveRatio | 0.192 | |