| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said softly [softly]" |
| | dialogueSentences | 32 | | tagDensity | 0.344 | | leniency | 0.688 | | rawRatio | 0.091 | | effectiveRatio | 0.063 | |
| 80.62% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1032 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "softly" | | 1 | "very" | | 2 | "precisely" |
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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) | |
| 61.24% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1032 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "stark" | | 1 | "fleeting" | | 2 | "stomach" | | 3 | "familiar" | | 4 | "whisper" | | 5 | "gleaming" | | 6 | "depths" | | 7 | "chaotic" |
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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 | 79 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 79 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 99 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 2 | | totalWords | 1029 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 697 | | uniqueNames | 10 | | maxNameDensity | 0.72 | | worstName | "Eva" | | maxWindowNameDensity | 1 | | worstWindowName | "Lucien" | | discoveredNames | | Moreau | 1 | | Frenchman | 1 | | Golden | 1 | | Empress | 1 | | Lucien | 4 | | London | 1 | | Eva | 5 | | Ptolemy | 3 | | Serpent | 1 | | Eye | 1 |
| | persons | | 0 | "Moreau" | | 1 | "Lucien" | | 2 | "Eva" | | 3 | "Ptolemy" | | 4 | "Serpent" | | 5 | "Eye" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 55.66% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 2 | | matches | | 0 | "quite reach his eyes" | | 1 | "quite fit" |
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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 | 1029 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 99 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 31.18 | | std | 18.18 | | cv | 0.583 | | sampleLengths | | 0 | 5 | | 1 | 64 | | 2 | 50 | | 3 | 54 | | 4 | 75 | | 5 | 52 | | 6 | 36 | | 7 | 6 | | 8 | 40 | | 9 | 23 | | 10 | 21 | | 11 | 20 | | 12 | 40 | | 13 | 38 | | 14 | 42 | | 15 | 14 | | 16 | 25 | | 17 | 47 | | 18 | 23 | | 19 | 38 | | 20 | 17 | | 21 | 52 | | 22 | 4 | | 23 | 34 | | 24 | 52 | | 25 | 35 | | 26 | 22 | | 27 | 1 | | 28 | 23 | | 29 | 32 | | 30 | 10 | | 31 | 27 | | 32 | 7 |
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| 96.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 79 | | matches | | 0 | "was caught" | | 1 | "was followed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 117 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 99 | | ratio | 0.01 | | matches | | 0 | "Just fixed me with those unsettlingly mismatched eyes – amber and black – that seemed to devour everything in their path." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 700 | | adjectiveStacks | 1 | | stackExamples | | 0 | "slim, ivory-handled cane." |
| | adverbCount | 23 | | adverbRatio | 0.032857142857142856 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.017142857142857144 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 99 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 99 | | mean | 10.39 | | std | 7.37 | | cv | 0.709 | | sampleLengths | | 0 | 5 | | 1 | 5 | | 2 | 5 | | 3 | 16 | | 4 | 12 | | 5 | 22 | | 6 | 2 | | 7 | 2 | | 8 | 6 | | 9 | 21 | | 10 | 23 | | 11 | 6 | | 12 | 23 | | 13 | 8 | | 14 | 17 | | 15 | 13 | | 16 | 6 | | 17 | 12 | | 18 | 20 | | 19 | 24 | | 20 | 11 | | 21 | 1 | | 22 | 2 | | 23 | 3 | | 24 | 21 | | 25 | 14 | | 26 | 13 | | 27 | 6 | | 28 | 7 | | 29 | 10 | | 30 | 3 | | 31 | 3 | | 32 | 18 | | 33 | 22 | | 34 | 11 | | 35 | 7 | | 36 | 5 | | 37 | 6 | | 38 | 15 | | 39 | 9 | | 40 | 11 | | 41 | 12 | | 42 | 28 | | 43 | 3 | | 44 | 2 | | 45 | 29 | | 46 | 4 | | 47 | 14 | | 48 | 28 | | 49 | 7 |
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| 55.56% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.36363636363636365 | | totalSentences | 99 | | uniqueOpeners | 36 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 66 | | matches | | 0 | "Just fixed me with those" | | 1 | "Then, she vanished." | | 2 | "Only choices, each more perilous" |
| | ratio | 0.045 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 66 | | matches | | 0 | "It had been three years." | | 1 | "He stood there, a charcoal" | | 2 | "He didn’t smile, didn’t even" | | 3 | "My hand tightened on the" | | 4 | "I was in my pajamas," | | 5 | "He pushed past me, smoothly" | | 6 | "My flat wasn't exactly a" | | 7 | "I jammed the door shut," | | 8 | "He didn't bother with the" | | 9 | "He simply turned the heavy" | | 10 | "It clicked open with a" | | 11 | "He ignored me, his gaze" | | 12 | "My voice was higher pitched" | | 13 | "I hadn’t yelled at anyone" | | 14 | "He paused, leaning against the" | | 15 | "he said softly, and the" | | 16 | "His lips curved, a fleeting" | | 17 | "My stomach plummeted." | | 18 | "It was a tangled mess" | | 19 | "He stepped closer, the scent" |
| | ratio | 0.591 | |
| 35.76% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 66 | | matches | | 0 | "The words tasted like ash." | | 1 | "It had been three years." | | 2 | "He stood there, a charcoal" | | 3 | "He didn’t smile, didn’t even" | | 4 | "My hand tightened on the" | | 5 | "Silas had warned me about" | | 6 | "A pathetic lie" | | 7 | "I was in my pajamas," | | 8 | "He pushed past me, smoothly" | | 9 | "My flat wasn't exactly a" | | 10 | "Boxes still littered a corner," | | 11 | "A half-finished mug of tea" | | 12 | "The memory hit me with" | | 13 | "A stupid, impulsive dare that" | | 14 | "I jammed the door shut," | | 15 | "He didn't bother with the" | | 16 | "He simply turned the heavy" | | 17 | "It clicked open with a" | | 18 | "That was low." | | 19 | "He ignored me, his gaze" |
| | ratio | 0.848 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 66 | | matches | (empty) | | ratio | 0 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 2 | | matches | | 0 | "I was in my pajamas, attempting to assemble a flat-pack bookshelf that was rapidly winning the battle." | | 1 | "A stupid, impulsive dare that had landed me face-to-face with a furious priest and Lucien, inexplicably, rescuing me from the rooftop." |
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| 34.09% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 2 | | matches | | 0 | "I insisted, though the lie felt thin even to my own ears" | | 1 | "he replied, his voice barely a whisper" |
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| 56.25% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 3 | | fancyTags | | 0 | "I retorted (retort)" | | 1 | "I insisted (insist)" | | 2 | "I stated (state)" |
| | dialogueSentences | 32 | | tagDensity | 0.156 | | leniency | 0.313 | | rawRatio | 0.6 | | effectiveRatio | 0.188 | |