| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 2 | | adverbTags | | 0 | "Eva said softly [softly]" | | 1 | "My voice cracked hard [hard]" |
| | dialogueSentences | 63 | | tagDensity | 0.381 | | leniency | 0.762 | | rawRatio | 0.083 | | effectiveRatio | 0.063 | |
| 89.93% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1489 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "softly" | | 1 | "very" | | 2 | "completely" |
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| 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) | |
| 46.27% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1489 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "crystal" | | 1 | "shattered" | | 2 | "velvet" | | 3 | "calculating" | | 4 | "gleaming" | | 5 | "traced" | | 6 | "rhythmic" | | 7 | "flicked" | | 8 | "stomach" | | 9 | "familiar" | | 10 | "silence" | | 11 | "whisper" | | 12 | "scanned" | | 13 | "pulse" |
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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 | 63 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 63 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 101 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 51 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1489 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 807 | | uniqueNames | 12 | | maxNameDensity | 1.12 | | worstName | "Eva" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Eva" | | discoveredNames | | Raven | 2 | | Nest | 2 | | London | 2 | | Cardiff | 1 | | Welsh | 1 | | Cartier | 1 | | Evan | 2 | | Eva | 9 | | Ice | 1 | | South | 1 | | Wales | 1 | | Silas | 6 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Evan" | | 3 | "Eva" | | 4 | "Ice" | | 5 | "Silas" |
| | places | | 0 | "London" | | 1 | "Cardiff" | | 2 | "South" | | 3 | "Wales" |
| | globalScore | 0.942 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like a slow countdown" |
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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 | 1489 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 101 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 57 | | mean | 26.12 | | std | 19.05 | | cv | 0.729 | | sampleLengths | | 0 | 17 | | 1 | 76 | | 2 | 17 | | 3 | 40 | | 4 | 17 | | 5 | 26 | | 6 | 2 | | 7 | 21 | | 8 | 57 | | 9 | 7 | | 10 | 23 | | 11 | 47 | | 12 | 6 | | 13 | 47 | | 14 | 4 | | 15 | 61 | | 16 | 4 | | 17 | 45 | | 18 | 13 | | 19 | 57 | | 20 | 64 | | 21 | 5 | | 22 | 41 | | 23 | 17 | | 24 | 35 | | 25 | 52 | | 26 | 10 | | 27 | 45 | | 28 | 5 | | 29 | 39 | | 30 | 7 | | 31 | 40 | | 32 | 9 | | 33 | 64 | | 34 | 3 | | 35 | 3 | | 36 | 43 | | 37 | 26 | | 38 | 4 | | 39 | 27 | | 40 | 3 | | 41 | 48 | | 42 | 19 | | 43 | 21 | | 44 | 2 | | 45 | 24 | | 46 | 19 | | 47 | 18 | | 48 | 45 | | 49 | 21 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 63 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 125 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 101 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 817 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.022031823745410038 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.008567931456548347 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 101 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 101 | | mean | 14.74 | | std | 9.17 | | cv | 0.622 | | sampleLengths | | 0 | 17 | | 1 | 19 | | 2 | 27 | | 3 | 30 | | 4 | 3 | | 5 | 14 | | 6 | 4 | | 7 | 17 | | 8 | 19 | | 9 | 17 | | 10 | 21 | | 11 | 5 | | 12 | 2 | | 13 | 17 | | 14 | 4 | | 15 | 9 | | 16 | 9 | | 17 | 17 | | 18 | 9 | | 19 | 13 | | 20 | 7 | | 21 | 16 | | 22 | 7 | | 23 | 8 | | 24 | 21 | | 25 | 18 | | 26 | 6 | | 27 | 33 | | 28 | 14 | | 29 | 4 | | 30 | 14 | | 31 | 47 | | 32 | 4 | | 33 | 14 | | 34 | 31 | | 35 | 13 | | 36 | 9 | | 37 | 16 | | 38 | 17 | | 39 | 15 | | 40 | 34 | | 41 | 30 | | 42 | 5 | | 43 | 18 | | 44 | 23 | | 45 | 6 | | 46 | 11 | | 47 | 20 | | 48 | 15 | | 49 | 4 |
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| 46.20% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.36633663366336633 | | totalSentences | 101 | | uniqueOpeners | 37 | |
| 56.50% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 59 | | matches | | 0 | "Instinctively, my right thumb pressed" |
| | ratio | 0.017 | |
| 30.17% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 59 | | matches | | 0 | "I didn't flinch, but the" | | 1 | "She kept her bright, calculating" | | 2 | "I recognised those sharp features" | | 3 | "Her voice lacked its old" | | 4 | "I said, kicking a chunk" | | 5 | "Her eyes traced my faded" | | 6 | "She lifted her fresh glass," | | 7 | "My hand went still against" | | 8 | "His grey-streaked auburn beard caught" | | 9 | "His hazel eyes flicked to" | | 10 | "She took a disciplined sip" | | 11 | "Her palm slapped the mahogany" | | 12 | "His right hand, anchored by" | | 13 | "She reached into her leather" | | 14 | "I stared at the heavy" | | 15 | "She slid the envelope across" | | 16 | "It contained decades of kickbacks," | | 17 | "I had handed that very" | | 18 | "I said, keeping my voice" | | 19 | "Her voice rose, sharp and" |
| | ratio | 0.475 | |
| 2.37% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 59 | | matches | | 0 | "The heavy crystal tumbler shattered" | | 1 | "I didn't flinch, but the" | | 2 | "She kept her bright, calculating" | | 3 | "I recognised those sharp features" | | 4 | "Her voice lacked its old" | | 5 | "Eva looked impeccably structured." | | 6 | "A tailored charcoal wool suit" | | 7 | "I said, kicking a chunk" | | 8 | "Her eyes traced my faded" | | 9 | "She lifted her fresh glass," | | 10 | "My hand went still against" | | 11 | "Silas never offered his full" | | 12 | "His grey-streaked auburn beard caught" | | 13 | "His hazel eyes flicked to" | | 14 | "She took a disciplined sip" | | 15 | "The name landed like iron" | | 16 | "The memory of Evan's grip" | | 17 | "Eva leaned across the dark" | | 18 | "Eva let out a sharp," | | 19 | "Her palm slapped the mahogany" |
| | ratio | 0.915 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 59 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 1 | | matches | | 0 | "Eva let out a sharp, dry laugh that died instantly in the quiet tavern." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 6 | | matches | | 0 | "She lifted, the ice clinking against heavy cut crystal" | | 1 | "Eva crossed, her golden watch catching the warm light" | | 2 | "Eva said, her voice dropping into a raspy whisper" | | 3 | "She leaned, her knuckles white against her leather bag" | | 4 | "she stammered, her confidence evaporating into raw terror" | | 5 | "Silas said, his voice flat, icy, and completely devoid of panic" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 3 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "Silas called out (call out)" | | 2 | "she stammered (stammer)" |
| | dialogueSentences | 63 | | tagDensity | 0.175 | | leniency | 0.349 | | rawRatio | 0.273 | | effectiveRatio | 0.095 | |