| 46.15% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 2 | | adverbTags | | 0 | "she said flatly [flatly]" | | 1 | "she interrupted firmly [firmly]" |
| | dialogueSentences | 26 | | tagDensity | 0.462 | | leniency | 0.923 | | rawRatio | 0.167 | | effectiveRatio | 0.154 | |
| 82.46% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 570 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 570 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "sanctuary" | | 1 | "unspoken" | | 2 | "facade" | | 3 | "calculated" | | 4 | "comfortable" | | 5 | "fascinating" | | 6 | "charm" | | 7 | "tension" | | 8 | "weight" | | 9 | "firmly" |
| |
| 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 | 36 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 36 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 49 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 570 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 20.80% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 387 | | uniqueNames | 5 | | maxNameDensity | 2.58 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 10 | | Lucien | 5 | | French | 1 | | Crisis | 1 | | Shutting | 1 |
| | persons | | 0 | "Rory" | | 1 | "Lucien" | | 2 | "Crisis" |
| | places | (empty) | | globalScore | 0.208 | | windowScore | 0.5 | |
| 74.24% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 33 | | glossingSentenceCount | 1 | | matches | | 0 | "as if corraling the topic" |
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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 | 570 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 49 | | matches | (empty) | |
| 74.88% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 21.92 | | std | 9.03 | | cv | 0.412 | | sampleLengths | | 0 | 44 | | 1 | 29 | | 2 | 25 | | 3 | 33 | | 4 | 16 | | 5 | 32 | | 6 | 32 | | 7 | 7 | | 8 | 25 | | 9 | 33 | | 10 | 18 | | 11 | 21 | | 12 | 23 | | 13 | 21 | | 14 | 26 | | 15 | 21 | | 16 | 24 | | 17 | 20 | | 18 | 21 | | 19 | 19 | | 20 | 6 | | 21 | 15 | | 22 | 4 | | 23 | 12 | | 24 | 28 | | 25 | 15 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 36 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 71 | | matches | | |
| 84.55% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 49 | | ratio | 0.02 | | matches | | 0 | "Rory knew him too well - his sharp mind calculated every play, every line." |
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| 98.26% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 387 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.041343669250646 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.020671834625323 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 49 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 49 | | mean | 11.63 | | std | 5.72 | | cv | 0.491 | | sampleLengths | | 0 | 11 | | 1 | 18 | | 2 | 15 | | 3 | 11 | | 4 | 12 | | 5 | 6 | | 6 | 16 | | 7 | 9 | | 8 | 20 | | 9 | 6 | | 10 | 7 | | 11 | 11 | | 12 | 5 | | 13 | 32 | | 14 | 9 | | 15 | 14 | | 16 | 9 | | 17 | 7 | | 18 | 17 | | 19 | 8 | | 20 | 19 | | 21 | 14 | | 22 | 11 | | 23 | 7 | | 24 | 11 | | 25 | 10 | | 26 | 12 | | 27 | 11 | | 28 | 21 | | 29 | 13 | | 30 | 13 | | 31 | 8 | | 32 | 13 | | 33 | 17 | | 34 | 7 | | 35 | 9 | | 36 | 11 | | 37 | 21 | | 38 | 3 | | 39 | 16 | | 40 | 6 | | 41 | 14 | | 42 | 1 | | 43 | 4 | | 44 | 7 | | 45 | 5 | | 46 | 21 | | 47 | 7 | | 48 | 15 |
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| 97.96% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.7142857142857143 | | totalSentences | 49 | | uniqueOpeners | 35 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 36 | | matches | | 0 | "Instead, Lucien trailed his fingers" | | 1 | "Then, gently, hesitantly:" |
| | ratio | 0.056 | |
| 75.56% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 36 | | matches | | 0 | "She glanced up from the" | | 1 | "His slicked-back hair glinted like" | | 2 | "he drawled with a roguish" | | 3 | "she said flatly, not yet" | | 4 | "he replied with a negligent" | | 5 | "His clueless facade didn't fool" | | 6 | "She sighed and opened the" | | 7 | "He slipped inside gracefully, the" | | 8 | "he noted, peering at the" | | 9 | "His eyes gleamed with playful" | | 10 | "he cooed, voice sliding to" | | 11 | "she interrupted firmly, Crisis averted" | | 12 | "She would figure out what" |
| | ratio | 0.361 | |
| 71.11% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 28 | | totalSentences | 36 | | matches | | 0 | "A sharp rapping at the" | | 1 | "She glanced up from the" | | 2 | "The deadbolts clanked as she" | | 3 | "Lucien stood on the threshold," | | 4 | "His slicked-back hair glinted like" | | 5 | "Mischief danced in his amber" | | 6 | "he drawled with a roguish" | | 7 | "Rory felt the impact of" | | 8 | "The fight, the accusations, the" | | 9 | "she said flatly, not yet" | | 10 | "he replied with a negligent" | | 11 | "His clueless facade didn't fool" | | 12 | "Rory knew him too well" | | 13 | "She sighed and opened the" | | 14 | "He slipped inside gracefully, the" | | 15 | "Rory shut the door on" | | 16 | "he noted, peering at the" | | 17 | "Rory corrected him, tidying some" | | 18 | "His eyes gleamed with playful" | | 19 | "Lucien gracefully lowered himself into" |
| | ratio | 0.778 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 36 | | matches | | 0 | "To deflect the heavy allusion," |
| | ratio | 0.028 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 13 | | technicalSentenceCount | 1 | | matches | | 0 | "He slipped inside gracefully, the spicy scent of his cologne mingling with sandalwood wafting from his clothes." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 2 | | matches | | 0 | "he drawled, his French accent caressing each word" | | 1 | "he cooed, voice sliding to a lower register" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 6 | | fancyTags | | 0 | "he drawled (drawl)" | | 1 | "he noted (note)" | | 2 | "Rory corrected (correct)" | | 3 | "the heavy allusion Rory retorted (retort)" | | 4 | "he cooed (coo)" | | 5 | "she interrupted firmly (interrupt)" |
| | dialogueSentences | 26 | | tagDensity | 0.308 | | leniency | 0.615 | | rawRatio | 0.75 | | effectiveRatio | 0.462 | |