| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 1 | | adverbTags | | 0 | "he greeted stiffly [stiffly]" |
| | dialogueSentences | 3 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 1 | | effectiveRatio | 0.667 | |
| 19.03% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 247 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "carefully" | | 1 | "really" | | 2 | "completely" | | 3 | "utterly" |
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| 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) | |
| 79.76% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 247 | | totalAiIsms | 1 | | found | | | highlights | | |
| 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 | 19 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 19 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 21 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 251 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 7 | | wordCount | 240 | | uniqueNames | 4 | | maxNameDensity | 1.67 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | | persons | | 0 | "Rory" | | 1 | "Eva" | | 2 | "Lucien" | | 3 | "Ptolemy" |
| | places | (empty) | | globalScore | 0.667 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 17 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 251 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 21 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 3 | | mean | 0 | | std | 0 | | cv | 0 | | sampleLengths | | |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 19 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 38 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 21 | | ratio | 0.143 | | matches | | 0 | "But someone just as unexpected — perhaps even more so." | | 1 | "Lucien had somehow gotten taller, leaner — the planes of his face more pronounced under the hall light." | | 2 | "Now he stood in her flat - impossibility made flesh - as if she'd wished him into existence." |
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| 71.33% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 236 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.0635593220338983 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.029661016949152543 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 21 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 21 | | mean | 11.95 | | std | 5.83 | | cv | 0.488 | | sampleLengths | | 0 | 16 | | 1 | 12 | | 2 | 4 | | 3 | 16 | | 4 | 14 | | 5 | 3 | | 6 | 10 | | 7 | 12 | | 8 | 10 | | 9 | 18 | | 10 | 17 | | 11 | 10 | | 12 | 15 | | 13 | 9 | | 14 | 26 | | 15 | 2 | | 16 | 18 | | 17 | 11 | | 18 | 17 | | 19 | 6 | | 20 | 5 |
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| 100.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.8571428571428571 | | totalSentences | 21 | | uniqueOpeners | 18 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 18 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 5 | | totalSentences | 18 | | matches | | 0 | "She sat up groggily, blinking" | | 1 | "It wasn't Eva." | | 2 | "he greeted stiffly, head inclined" | | 3 | "He'd vanished as completely and" | | 4 | "She settled on the most" |
| | ratio | 0.278 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 11 | | totalSentences | 18 | | matches | | 0 | "The sound of the deadbolt" | | 1 | "She sat up groggily, blinking" | | 2 | "A familiar figure slipped inside," | | 3 | "It wasn't Eva." | | 4 | "A face from nearly three" | | 5 | "he greeted stiffly, head inclined" | | 6 | "Lucien had somehow gotten taller," | | 7 | "He'd vanished as completely and" | | 8 | "The tabby cat, Ptolemy, wound" | | 9 | "Rory struggled to find words," | | 10 | "She settled on the most" |
| | ratio | 0.611 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 18 | | matches | | 0 | "Even as surprise and confusion" | | 1 | "Now he stood in her" |
| | ratio | 0.111 | |
| 32.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 13 | | technicalSentenceCount | 2 | | matches | | 0 | "In the years that followed, whenever his memory rose unbidden, Rory scrubbed him clean from her mind like a stubborn wine stain from a favourite shirt." | | 1 | "Now he stood in her flat - impossibility made flesh - as if she'd wished him into existence." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |