| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 53 | | tagDensity | 0.34 | | leniency | 0.679 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.04% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1687 | | 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) | |
| 73.33% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1687 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "pulse" | | 1 | "lurched" | | 2 | "trembled" | | 3 | "pulsed" | | 4 | "warmth" | | 5 | "marble" | | 6 | "traced" |
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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 | 165 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 165 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 200 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 22 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1687 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 32.35% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 79 | | wordCount | 1445 | | uniqueNames | 8 | | maxNameDensity | 2.35 | | worstName | "Aurora" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 34 | | Heartstone | 1 | | Shadow | 1 | | Nyx | 20 | | Richmond | 1 | | Park | 1 | | Isolde | 15 | | One | 6 |
| | persons | | 0 | "Aurora" | | 1 | "Heartstone" | | 2 | "Shadow" | | 3 | "Nyx" | | 4 | "Isolde" |
| | places | | | globalScore | 0.324 | | windowScore | 0.5 | |
| 57.41% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 108 | | glossingSentenceCount | 4 | | matches | | 0 | "looked like stacked vertebrae, each bone" | | 1 | "felt like a fingertip dipped in cold te" | | 2 | "looked like still, black water" | | 3 | "looked like polished marble" |
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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 | 1687 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 200 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 87 | | mean | 19.39 | | std | 16.32 | | cv | 0.842 | | sampleLengths | | 0 | 12 | | 1 | 43 | | 2 | 12 | | 3 | 4 | | 4 | 27 | | 5 | 14 | | 6 | 25 | | 7 | 29 | | 8 | 2 | | 9 | 42 | | 10 | 16 | | 11 | 5 | | 12 | 39 | | 13 | 12 | | 14 | 30 | | 15 | 29 | | 16 | 5 | | 17 | 17 | | 18 | 4 | | 19 | 7 | | 20 | 60 | | 21 | 2 | | 22 | 4 | | 23 | 15 | | 24 | 23 | | 25 | 16 | | 26 | 10 | | 27 | 35 | | 28 | 63 | | 29 | 36 | | 30 | 7 | | 31 | 25 | | 32 | 1 | | 33 | 40 | | 34 | 11 | | 35 | 3 | | 36 | 16 | | 37 | 19 | | 38 | 45 | | 39 | 3 | | 40 | 20 | | 41 | 17 | | 42 | 50 | | 43 | 8 | | 44 | 17 | | 45 | 6 | | 46 | 61 | | 47 | 5 | | 48 | 6 | | 49 | 13 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 165 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 257 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 3 | | flaggedSentences | 3 | | totalSentences | 200 | | ratio | 0.015 | | matches | | 0 | "They made no sound when they brushed Aurora’s sleeve; through the fabric, they felt like a fingertip dipped in cold tea." | | 1 | "Across the slab, an old silver pattern had broken in one place; a narrow gap crossed it from edge to edge." | | 2 | "“I don’t think they brought it.” Nyx held up their hand; the fingertips took shape again." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1446 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.025587828492392807 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0013831258644536654 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 200 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 200 | | mean | 8.44 | | std | 4.73 | | cv | 0.561 | | sampleLengths | | 0 | 12 | | 1 | 8 | | 2 | 15 | | 3 | 20 | | 4 | 5 | | 5 | 7 | | 6 | 4 | | 7 | 5 | | 8 | 14 | | 9 | 8 | | 10 | 7 | | 11 | 7 | | 12 | 19 | | 13 | 6 | | 14 | 7 | | 15 | 22 | | 16 | 2 | | 17 | 8 | | 18 | 9 | | 19 | 14 | | 20 | 4 | | 21 | 7 | | 22 | 8 | | 23 | 5 | | 24 | 3 | | 25 | 5 | | 26 | 6 | | 27 | 15 | | 28 | 5 | | 29 | 13 | | 30 | 7 | | 31 | 5 | | 32 | 14 | | 33 | 2 | | 34 | 14 | | 35 | 2 | | 36 | 11 | | 37 | 16 | | 38 | 5 | | 39 | 7 | | 40 | 5 | | 41 | 5 | | 42 | 4 | | 43 | 7 | | 44 | 5 | | 45 | 12 | | 46 | 9 | | 47 | 15 | | 48 | 19 | | 49 | 2 |
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| 59.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.37 | | totalSentences | 200 | | uniqueOpeners | 74 | |
| 22.08% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 151 | | matches | | 0 | "Then stone struck her heels." |
| | ratio | 0.007 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 151 | | matches | | 0 | "Its bark shifted beneath her" | | 1 | "Their violet eyes caught in" | | 2 | "She drew the silver chain" | | 3 | "It stopped an inch past" | | 4 | "She stepped between the oaks." | | 5 | "She lurched forward, caught herself" | | 6 | "Their passage sloped down through" | | 7 | "She looked up into a" | | 8 | "They made no sound when" | | 9 | "It shifted through unseen openings," | | 10 | "Their silhouette thinned, and a" | | 11 | "It descended until Aurora lost" | | 12 | "It came up spattered with" | | 13 | "It had no rail." | | 14 | "Her bare feet left no" | | 15 | "It stirred a hunger that" | | 16 | "She heard cutlery striking plates," | | 17 | "She jerked her hand away." | | 18 | "She studied their face" | | 19 | "Her lavender eyes tracked something" |
| | ratio | 0.219 | |
| 49.40% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 124 | | totalSentences | 151 | | matches | | 0 | "The oak standing stones had" | | 1 | "Isolde laid her palm against" | | 2 | "Its bark shifted beneath her" | | 3 | "A narrow opening appeared where" | | 4 | "Nyx leaned over Aurora’s shoulder." | | 5 | "Their violet eyes caught in" | | 6 | "Isolde withdrew her hand" | | 7 | "A strip of bark clung" | | 8 | "Aurora looked from one to" | | 9 | "Isolde’s silver hair lifted in" | | 10 | "The Heartstone pressed warm against" | | 11 | "She drew the silver chain" | | 12 | "Nyx held out a hand" | | 13 | "Shadow ran down their arm" | | 14 | "It stopped an inch past" | | 15 | "Nyx pulled it back." | | 16 | "Aurora touched the moonsilver dagger" | | 17 | "She stepped between the oaks." | | 18 | "The grass vanished under her" | | 19 | "She lurched forward, caught herself" |
| | ratio | 0.821 | |
| 33.11% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 151 | | matches | | 0 | "Before it reached the black" |
| | ratio | 0.007 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 63 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 74.53% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 4 | | fancyTags | | 0 | "Nyx pressed (press)" | | 1 | "she murmured (murmur)" | | 2 | "Nyx whispered (whisper)" | | 3 | "Nyx murmured (murmur)" |
| | dialogueSentences | 53 | | tagDensity | 0.208 | | leniency | 0.415 | | rawRatio | 0.364 | | effectiveRatio | 0.151 | |