| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 2 | | adverbTags | | 0 | "he said quietly [quietly]" | | 1 | "His fingers tightened around [around]" |
| | dialogueSentences | 74 | | tagDensity | 0.243 | | leniency | 0.486 | | rawRatio | 0.111 | | effectiveRatio | 0.054 | |
| 92.58% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1347 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 74.02% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1347 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "silence" | | 1 | "weight" | | 2 | "tension" | | 3 | "pulse" | | 4 | "trembled" |
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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 | 113 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 113 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 169 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 4 | | totalWords | 1332 | | ratio | 0.003 | | matches | | 0 | "him" | | 1 | "am" | | 2 | "tried" | | 3 | "now" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 27 | | unquotedAttributions | 0 | | matches | (empty) | |
| 89.85% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 665 | | uniqueNames | 5 | | maxNameDensity | 1.2 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Silas" | | discoveredNames | | Carter | 1 | | Silas | 8 | | Blackwood | 1 | | Aurora | 6 | | Evan | 1 |
| | persons | | 0 | "Carter" | | 1 | "Silas" | | 2 | "Blackwood" | | 3 | "Aurora" | | 4 | "Evan" |
| | places | (empty) | | globalScore | 0.898 | | windowScore | 1 | |
| 95.65% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | glossingSentenceCount | 1 | | matches | | 0 | "as if deciding whether to follow through or pretend it hadn't been personal" |
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| 49.85% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.502 | | wordCount | 1332 | | matches | | 0 | "Not the kind that settles, but the kind" | | 1 | "Not just her face, but the way her weight sat on her heels, the slight tension in h" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 169 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 100 | | mean | 13.32 | | std | 12.14 | | cv | 0.911 | | sampleLengths | | 0 | 14 | | 1 | 33 | | 2 | 31 | | 3 | 23 | | 4 | 4 | | 5 | 6 | | 6 | 9 | | 7 | 30 | | 8 | 39 | | 9 | 8 | | 10 | 10 | | 11 | 41 | | 12 | 7 | | 13 | 10 | | 14 | 16 | | 15 | 11 | | 16 | 9 | | 17 | 40 | | 18 | 6 | | 19 | 3 | | 20 | 3 | | 21 | 2 | | 22 | 4 | | 23 | 41 | | 24 | 10 | | 25 | 6 | | 26 | 3 | | 27 | 4 | | 28 | 14 | | 29 | 10 | | 30 | 9 | | 31 | 2 | | 32 | 16 | | 33 | 4 | | 34 | 17 | | 35 | 6 | | 36 | 32 | | 37 | 2 | | 38 | 2 | | 39 | 30 | | 40 | 12 | | 41 | 5 | | 42 | 2 | | 43 | 8 | | 44 | 9 | | 45 | 8 | | 46 | 36 | | 47 | 46 | | 48 | 5 | | 49 | 7 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 113 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 126 | | matches | (empty) | |
| 24.51% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 169 | | ratio | 0.041 | | matches | | 0 | "Not the kind that settles, but the kind that presses—tight, thick, full of everything unsaid." | | 1 | "The bartender—new face—started forward with a dishcloth." | | 2 | "Not just her face, but the way her weight sat on her heels, the slight tension in her left wrist as she tucked a strand of hair behind her ear—exposing the crescent-shaped scar just beneath her pulse." | | 3 | "Always had—sitting where she could see every exit, every face." | | 4 | "He ordered a whiskey—single malt, no ice." | | 5 | "At the old black-and-white photos on the wall—spies, likely, long dead." | | 6 | "But the scar on his wrist—the same crescent shape as hers—was unmistakable." |
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| 94.99% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 678 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.045722713864306784 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.01032448377581121 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 169 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 169 | | mean | 7.88 | | std | 7.48 | | cv | 0.949 | | sampleLengths | | 0 | 14 | | 1 | 4 | | 2 | 3 | | 3 | 26 | | 4 | 28 | | 5 | 3 | | 6 | 15 | | 7 | 2 | | 8 | 2 | | 9 | 4 | | 10 | 4 | | 11 | 3 | | 12 | 3 | | 13 | 9 | | 14 | 10 | | 15 | 5 | | 16 | 15 | | 17 | 10 | | 18 | 13 | | 19 | 8 | | 20 | 8 | | 21 | 8 | | 22 | 10 | | 23 | 3 | | 24 | 2 | | 25 | 6 | | 26 | 15 | | 27 | 8 | | 28 | 7 | | 29 | 7 | | 30 | 8 | | 31 | 2 | | 32 | 4 | | 33 | 12 | | 34 | 11 | | 35 | 9 | | 36 | 3 | | 37 | 37 | | 38 | 6 | | 39 | 3 | | 40 | 3 | | 41 | 2 | | 42 | 4 | | 43 | 8 | | 44 | 7 | | 45 | 11 | | 46 | 5 | | 47 | 10 | | 48 | 2 | | 49 | 4 |
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| 51.08% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.34911242603550297 | | totalSentences | 169 | | uniqueOpeners | 59 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 82 | | matches | | 0 | "Always had—sitting where she could" | | 1 | "Just for a second." | | 2 | "Then reached into his inner" |
| | ratio | 0.037 | |
| 59.02% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 82 | | matches | | 0 | "She barely blinked." | | 1 | "Her fingers hovered over the" | | 2 | "He watched her." | | 3 | "She turned, slow, her straight" | | 4 | "She almost smiled." | | 5 | "They faced each other in" | | 6 | "He gestured toward the dartboard" | | 7 | "Her knife had split the" | | 8 | "she shot back" | | 9 | "His eye twitched." | | 10 | "He limped forward, setting his" | | 11 | "He studied her." | | 12 | "He didn’t deny it." | | 13 | "She moved past him, heading" | | 14 | "She did it on purpose." | | 15 | "He almost laughed." | | 16 | "Her fingers stilled on the" | | 17 | "He ordered a whiskey—single malt," | | 18 | "She held up two fingers" | | 19 | "They didn’t clink." |
| | ratio | 0.402 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 82 | | matches | | 0 | "The knife hit the wood" | | 1 | "Aurora Carter didn’t flinch." | | 2 | "She barely blinked." | | 3 | "Her fingers hovered over the" | | 4 | "He watched her." | | 5 | "She turned, slow, her straight" | | 6 | "The knife was forgotten." | | 7 | "She almost smiled." | | 8 | "They faced each other in" | | 9 | "He gestured toward the dartboard" | | 10 | "A crude target drawn in" | | 11 | "Her knife had split the" | | 12 | "The second blade hovered just" | | 13 | "she shot back" | | 14 | "His eye twitched." | | 15 | "The only sign he’d felt" | | 16 | "He limped forward, setting his" | | 17 | "The bartender—new face—started forward with" | | 18 | "Silas said, voice low but" | | 19 | "Aurora folded her arms." |
| | ratio | 0.695 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 4 | | totalSentences | 82 | | matches | | 0 | "Before he could answer, the" | | 1 | "Because she recognised the voice." | | 2 | "Because she’d lived in terror" | | 3 | "Because the delivery boy’s smile" |
| | ratio | 0.049 | |
| 98.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 16 | | technicalSentenceCount | 1 | | matches | | 0 | "Not the kind that settles, but the kind that presses—tight, thick, full of everything unsaid." |
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| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 2 | | matches | | 0 | "Silas said, voice low but absolute" | | 1 | "Silas said, voice hollow" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 74 | | tagDensity | 0.203 | | leniency | 0.405 | | rawRatio | 0.067 | | effectiveRatio | 0.027 | |