| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 46 | | tagDensity | 0.391 | | leniency | 0.783 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.67% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1125 | | totalAiIsmAdverbs | 3 | | found | | 0 | | | 1 | | | 2 | | adverb | "reluctantly" | | count | 1 |
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| | highlights | | 0 | "carefully" | | 1 | "gently" | | 2 | "reluctantly" |
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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) | |
| 46.67% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1125 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "velvet" | | 1 | "crystal" | | 2 | "amidst" | | 3 | "eyebrow" | | 4 | "tapestry" | | 5 | "perfect" | | 6 | "etched" | | 7 | "implication" | | 8 | "jaw clenched" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 96 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 96 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 125 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 53 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1121 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 644 | | uniqueNames | 10 | | maxNameDensity | 0.78 | | worstName | "Davies" | | maxWindowNameDensity | 1 | | worstWindowName | "Thorne" | | discoveredNames | | Formica | 1 | | Regent | 1 | | Park | 1 | | Velvet | 1 | | Julian | 1 | | Thorne | 2 | | Lovers | 1 | | Tower | 1 | | Davies | 5 | | Shade | 1 |
| | persons | | 0 | "Julian" | | 1 | "Thorne" | | 2 | "Davies" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | 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 | 1121 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 125 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 24.91 | | std | 15.84 | | cv | 0.636 | | sampleLengths | | 0 | 48 | | 1 | 20 | | 2 | 21 | | 3 | 44 | | 4 | 45 | | 5 | 46 | | 6 | 36 | | 7 | 14 | | 8 | 12 | | 9 | 36 | | 10 | 33 | | 11 | 24 | | 12 | 17 | | 13 | 10 | | 14 | 3 | | 15 | 51 | | 16 | 33 | | 17 | 27 | | 18 | 29 | | 19 | 5 | | 20 | 39 | | 21 | 27 | | 22 | 7 | | 23 | 25 | | 24 | 6 | | 25 | 18 | | 26 | 18 | | 27 | 31 | | 28 | 50 | | 29 | 4 | | 30 | 11 | | 31 | 6 | | 32 | 16 | | 33 | 5 | | 34 | 53 | | 35 | 11 | | 36 | 31 | | 37 | 8 | | 38 | 25 | | 39 | 27 | | 40 | 2 | | 41 | 63 | | 42 | 40 | | 43 | 9 | | 44 | 35 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 96 | | matches | | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 123 | | matches | | 0 | "was spreading" | | 1 | "wasn’t adding" | | 2 | "wasn’t pointing" | | 3 | "was pointing…" | | 4 | "was pointing" | | 5 | "was oozing" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 125 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 410 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 14 | | adverbRatio | 0.03414634146341464 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.01707317073170732 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 125 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 125 | | mean | 8.97 | | std | 7.46 | | cv | 0.832 | | sampleLengths | | 0 | 8 | | 1 | 6 | | 2 | 14 | | 3 | 13 | | 4 | 7 | | 5 | 9 | | 6 | 11 | | 7 | 9 | | 8 | 12 | | 9 | 23 | | 10 | 11 | | 11 | 9 | | 12 | 1 | | 13 | 21 | | 14 | 4 | | 15 | 12 | | 16 | 8 | | 17 | 22 | | 18 | 13 | | 19 | 11 | | 20 | 21 | | 21 | 15 | | 22 | 14 | | 23 | 12 | | 24 | 17 | | 25 | 2 | | 26 | 1 | | 27 | 2 | | 28 | 2 | | 29 | 12 | | 30 | 24 | | 31 | 3 | | 32 | 6 | | 33 | 8 | | 34 | 1 | | 35 | 3 | | 36 | 8 | | 37 | 3 | | 38 | 1 | | 39 | 6 | | 40 | 11 | | 41 | 4 | | 42 | 6 | | 43 | 3 | | 44 | 14 | | 45 | 9 | | 46 | 1 | | 47 | 11 | | 48 | 3 | | 49 | 6 |
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| 68.53% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.44 | | totalSentences | 125 | | uniqueOpeners | 55 | |
| 43.29% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 77 | | matches | | 0 | "Too much by-the-book for my" |
| | ratio | 0.013 | |
| 12.21% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 77 | | matches | | 0 | "It was inside a fortune" | | 1 | "I said, without looking up" | | 2 | "I finally raised my head," | | 3 | "He gestured to the body," | | 4 | "I pushed myself up, circling" | | 5 | "I dripped my coffee into" | | 6 | "I ran a gloved hand" | | 7 | "He always did." | | 8 | "I crouched beside the body," | | 9 | "I pressed gently." | | 10 | "I said, my voice low" | | 11 | "He raised an eyebrow." | | 12 | "It was surprisingly spacious inside," | | 13 | "I found a small ventilation" | | 14 | "I pulled it open." | | 15 | "I finished for him, suppressing" | | 16 | "I walked towards the fortune" | | 17 | "I said, my voice firm" | | 18 | "She looked up, her eyes" | | 19 | "she whispered, clutching a string" |
| | ratio | 0.519 | |
| 44.42% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 77 | | matches | | 0 | "The chipped Formica tabletop stuck" | | 1 | "Another lukewarm coffee, another pointless" | | 2 | "It was inside a fortune" | | 3 | "I said, without looking up" | | 4 | "The steam from the coffee" | | 5 | "Davies cleared his throat, a" | | 6 | "I finally raised my head," | | 7 | "Velvet curtains, crystal balls, tarot" | | 8 | "The air hung thick with" | | 9 | "He gestured to the body," | | 10 | "Julian Thorne, the actor." | | 11 | "I pushed myself up, circling" | | 12 | "The crimson stain on the" | | 13 | "Davies offered, nodding towards a" | | 14 | "I dripped my coffee into" | | 15 | "I ran a gloved hand" | | 16 | "He always did." | | 17 | "I crouched beside the body," | | 18 | "I pressed gently." | | 19 | "I said, my voice low" |
| | ratio | 0.831 | |
| 64.94% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 77 | | matches | | 0 | "While he reluctantly followed my" |
| | ratio | 0.013 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 1 | | matches | | 0 | "I was already moving towards the grate, my hand reaching for my sidearm." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 5 | | matches | | 0 | "I said, without looking up" | | 1 | "I said, my voice low" | | 2 | "Davies returned, his expression unconvinced" | | 3 | "I said, my voice firm" | | 4 | "I said, my voice tight" |
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| 84.78% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 3 | | fancyTags | | 0 | "I pressed (press)" | | 1 | "she whispered (whisper)" | | 2 | "Davies breathed (breathe)" |
| | dialogueSentences | 46 | | tagDensity | 0.152 | | leniency | 0.304 | | rawRatio | 0.429 | | effectiveRatio | 0.13 | |