| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 27 | | tagDensity | 0.074 | | leniency | 0.148 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1072 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 25.37% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1072 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "loomed" | | 1 | "pulsed" | | 2 | "rhythmic" | | 3 | "warmth" | | 4 | "echo" | | 5 | "weight" | | 6 | "traced" | | 7 | "pulse" | | 8 | "throb" | | 9 | "vibrated" | | 10 | "silence" | | 11 | "dancing" | | 12 | "echoed" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 104 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 104 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 129 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1072 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 70.09% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 876 | | uniqueNames | 5 | | maxNameDensity | 1.6 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Rory | 14 | | Eva | 3 | | Heartstone | 1 |
| | persons | | | places | | | globalScore | 0.701 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like a smear of heavy, dragging we" |
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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 | 1072 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 129 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 19.85 | | std | 18.43 | | cv | 0.928 | | sampleLengths | | 0 | 66 | | 1 | 7 | | 2 | 5 | | 3 | 9 | | 4 | 10 | | 5 | 47 | | 6 | 16 | | 7 | 7 | | 8 | 64 | | 9 | 5 | | 10 | 8 | | 11 | 4 | | 12 | 25 | | 13 | 5 | | 14 | 6 | | 15 | 4 | | 16 | 62 | | 17 | 15 | | 18 | 5 | | 19 | 4 | | 20 | 14 | | 21 | 4 | | 22 | 15 | | 23 | 11 | | 24 | 40 | | 25 | 37 | | 26 | 4 | | 27 | 40 | | 28 | 29 | | 29 | 1 | | 30 | 9 | | 31 | 7 | | 32 | 3 | | 33 | 8 | | 34 | 70 | | 35 | 13 | | 36 | 33 | | 37 | 38 | | 38 | 25 | | 39 | 13 | | 40 | 14 | | 41 | 7 | | 42 | 23 | | 43 | 8 | | 44 | 12 | | 45 | 4 | | 46 | 47 | | 47 | 34 | | 48 | 19 | | 49 | 43 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 104 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 142 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 129 | | ratio | 0 | | matches | (empty) | |
| 82.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 883 | | adjectiveStacks | 3 | | stackExamples | | 0 | "tight over prominent bones." | | 1 | "needle-thin, translucent teeth." | | 2 | "warped, static-laced pitch" |
| | adverbCount | 17 | | adverbRatio | 0.01925254813137033 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.004530011325028313 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 129 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 129 | | mean | 8.31 | | std | 4.32 | | cv | 0.52 | | sampleLengths | | 0 | 25 | | 1 | 16 | | 2 | 4 | | 3 | 3 | | 4 | 18 | | 5 | 7 | | 6 | 5 | | 7 | 5 | | 8 | 4 | | 9 | 10 | | 10 | 17 | | 11 | 17 | | 12 | 7 | | 13 | 6 | | 14 | 16 | | 15 | 7 | | 16 | 6 | | 17 | 6 | | 18 | 16 | | 19 | 8 | | 20 | 7 | | 21 | 21 | | 22 | 5 | | 23 | 3 | | 24 | 5 | | 25 | 4 | | 26 | 15 | | 27 | 10 | | 28 | 5 | | 29 | 6 | | 30 | 4 | | 31 | 11 | | 32 | 7 | | 33 | 12 | | 34 | 10 | | 35 | 10 | | 36 | 12 | | 37 | 9 | | 38 | 6 | | 39 | 5 | | 40 | 4 | | 41 | 4 | | 42 | 5 | | 43 | 5 | | 44 | 4 | | 45 | 15 | | 46 | 11 | | 47 | 4 | | 48 | 5 | | 49 | 12 |
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| 36.05% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.24031007751937986 | | totalSentences | 129 | | uniqueOpeners | 31 | |
| 97.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 103 | | matches | | 0 | "Then, the whispering started." | | 1 | "Then directly above her." | | 2 | "All timestamped over the last" |
| | ratio | 0.029 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 103 | | matches | | 0 | "She crossed the boundary." | | 1 | "She pressed the phone to" | | 2 | "It pulsed with a steady," | | 3 | "She swept her phone flashlight" | | 4 | "It lacked the distinct tread" | | 5 | "She traced the edge of" | | 6 | "She rubbed the crescent-shaped scar" | | 7 | "Her pulse hammered against the" | | 8 | "She gasped and dropped the" | | 9 | "It drifted from the spaces" | | 10 | "She shifted the light to" | | 11 | "It slid across the grass," | | 12 | "Her heel caught on a" | | 13 | "She stumbled, catching herself against" | | 14 | "She snatched her hand back." | | 15 | "It smelled of copper and" | | 16 | "She wiped her hand on" | | 17 | "It echoed from the right." | | 18 | "They were translucent, veined with" | | 19 | "She lowered the light." |
| | ratio | 0.252 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 95 | | totalSentences | 103 | | matches | | 0 | "Rory pushed a strand of" | | 1 | "The ancient oak standing stones" | | 2 | "She crossed the boundary." | | 3 | "The air changed." | | 4 | "She pressed the phone to" | | 5 | "Static hissed through the speaker." | | 6 | "A sharp pop followed." | | 7 | "Rory pulled the silver chain" | | 8 | "The deep crimson gemstone, no" | | 9 | "It pulsed with a steady," | | 10 | "Rory walked deeper into the" | | 11 | "The wildflowers brushed against her" | | 12 | "Bluebells and foxgloves thrived in" | | 13 | "She swept her phone flashlight" | | 14 | "The beam caught nothing but" | | 15 | "The scent of crushed petals" | | 16 | "A twig snapped behind her." | | 17 | "Rory spun around." | | 18 | "The oak stones stood silent." | | 19 | "Eva's voice warped, dropping an" |
| | ratio | 0.922 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 103 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 1 | | matches | | 0 | "The flowers wilted instantly where the darkness touched them, turning to gray ash that drifted upward against gravity." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |