| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 115 | | tagDensity | 0.209 | | leniency | 0.417 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.73% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1594 | | totalAiIsmAdverbs | 2 | | 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) | |
| 65.50% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1594 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "footsteps" | | 1 | "rhythmic" | | 2 | "gleaming" | | 3 | "weight" | | 4 | "calculated" | | 5 | "pulse" | | 6 | "throbbed" | | 7 | "scanned" | | 8 | "could feel" | | 9 | "silence" |
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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 | 140 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 140 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 230 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1594 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 992 | | uniqueNames | 6 | | maxNameDensity | 1.11 | | worstName | "Lucien" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Moreau | 1 | | East | 1 | | End | 1 | | Lucien | 11 | | Ptolemy | 1 | | Aurora | 10 |
| | persons | | 0 | "Moreau" | | 1 | "Lucien" | | 2 | "Ptolemy" | | 3 | "Aurora" |
| | places | | | globalScore | 0.946 | | windowScore | 0.833 | |
| 75.37% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like two different worlds collidin" | | 1 | "smelled like rain and expensive tobacco" |
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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 | 1594 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 230 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 116 | | mean | 13.74 | | std | 14.76 | | cv | 1.074 | | sampleLengths | | 0 | 60 | | 1 | 9 | | 2 | 66 | | 3 | 29 | | 4 | 33 | | 5 | 37 | | 6 | 26 | | 7 | 56 | | 8 | 6 | | 9 | 43 | | 10 | 3 | | 11 | 26 | | 12 | 8 | | 13 | 46 | | 14 | 38 | | 15 | 47 | | 16 | 3 | | 17 | 35 | | 18 | 41 | | 19 | 26 | | 20 | 22 | | 21 | 12 | | 22 | 50 | | 23 | 21 | | 24 | 16 | | 25 | 19 | | 26 | 33 | | 27 | 6 | | 28 | 3 | | 29 | 20 | | 30 | 11 | | 31 | 5 | | 32 | 30 | | 33 | 12 | | 34 | 53 | | 35 | 4 | | 36 | 4 | | 37 | 32 | | 38 | 6 | | 39 | 9 | | 40 | 6 | | 41 | 25 | | 42 | 2 | | 43 | 5 | | 44 | 36 | | 45 | 16 | | 46 | 2 | | 47 | 18 | | 48 | 1 | | 49 | 17 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 140 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 176 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 230 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 992 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 12 | | adverbRatio | 0.012096774193548387 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0010080645161290322 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 230 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 230 | | mean | 6.93 | | std | 4.59 | | cv | 0.662 | | sampleLengths | | 0 | 27 | | 1 | 12 | | 2 | 7 | | 3 | 2 | | 4 | 12 | | 5 | 4 | | 6 | 5 | | 7 | 12 | | 8 | 21 | | 9 | 17 | | 10 | 16 | | 11 | 9 | | 12 | 12 | | 13 | 3 | | 14 | 5 | | 15 | 4 | | 16 | 14 | | 17 | 15 | | 18 | 8 | | 19 | 4 | | 20 | 17 | | 21 | 8 | | 22 | 4 | | 23 | 14 | | 24 | 8 | | 25 | 9 | | 26 | 5 | | 27 | 10 | | 28 | 17 | | 29 | 15 | | 30 | 6 | | 31 | 7 | | 32 | 4 | | 33 | 5 | | 34 | 15 | | 35 | 12 | | 36 | 3 | | 37 | 11 | | 38 | 5 | | 39 | 7 | | 40 | 3 | | 41 | 8 | | 42 | 3 | | 43 | 11 | | 44 | 8 | | 45 | 24 | | 46 | 7 | | 47 | 3 | | 48 | 11 | | 49 | 13 |
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| 32.17% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 41 | | diversityRatio | 0.21739130434782608 | | totalSentences | 230 | | uniqueOpeners | 50 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 131 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 74 | | totalSentences | 131 | | matches | | 0 | "She knew the rhythm of" | | 1 | "She turned the lock." | | 2 | "She pushed the door inwards." | | 3 | "His charcoal suit swallowed the" | | 4 | "He had dried off the" | | 5 | "He held an umbrella in" | | 6 | "He didn’t smile." | | 7 | "He didn’t move the umbrella." | | 8 | "She moved a hand to" | | 9 | "Her voice stayed steady." | | 10 | "She stepped into the room" | | 11 | "She reached for a curtain" | | 12 | "Her shoulder brushed the plaster." | | 13 | "He tilted his head." | | 14 | "He gestured with the umbrella" | | 15 | "His face filled the space." | | 16 | "He smelled like rain and" | | 17 | "He moved to the desk" | | 18 | "His fingers brushed the top" | | 19 | "She crossed her arms" |
| | ratio | 0.565 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 127 | | totalSentences | 131 | | matches | | 0 | "Rain lashed against the glass" | | 1 | "Aurora pressed her back against" | | 2 | "She knew the rhythm of" | | 3 | "She turned the lock." | | 4 | "She pushed the door inwards." | | 5 | "Lucien Moreau stood in the" | | 6 | "His charcoal suit swallowed the" | | 7 | "He had dried off the" | | 8 | "He held an umbrella in" | | 9 | "The heterochromia looked like two" | | 10 | "He didn’t smile." | | 11 | "He didn’t move the umbrella." | | 12 | "Aurora shifted her weight." | | 13 | "The scar on her left" | | 14 | "She moved a hand to" | | 15 | "Her voice stayed steady." | | 16 | "Heat didn’t rise in her" | | 17 | "She stepped into the room" | | 18 | "Lucien didn’t step back." | | 19 | "The cane remained planted on" |
| | ratio | 0.969 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 131 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 115 | | tagDensity | 0.035 | | leniency | 0.07 | | rawRatio | 0 | | effectiveRatio | 0 | |