| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 2 | | adverbTags | | 0 | "the man corrected gently [gently]" | | 1 | "she lied again [again]" |
| | dialogueSentences | 44 | | tagDensity | 0.409 | | leniency | 0.818 | | rawRatio | 0.111 | | effectiveRatio | 0.091 | |
| 88.76% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1334 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slowly" | | 1 | "gently" | | 2 | "slightly" |
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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) | |
| 51.27% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1334 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "silk" | | 1 | "throbbed" | | 2 | "rhythmic" | | 3 | "pulse" | | 4 | "scanned" | | 5 | "silence" | | 6 | "gloom" | | 7 | "stomach" | | 8 | "warmth" | | 9 | "shattered" |
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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 | 166 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 166 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "started to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 191 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 23 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 5 | | markdownWords | 9 | | totalWords | 1333 | | ratio | 0.007 | | matches | | 0 | "Stop stalling." | | 1 | "Stubborn." | | 2 | "Snap." | | 3 | "Crack." | | 4 | "Keep the bluff up." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 1141 | | uniqueNames | 8 | | maxNameDensity | 1.23 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 3 | | Richmond | 2 | | Park | 2 | | Swiss | 1 | | Eva | 4 | | Rory | 14 | | Fae | 6 | | Hel | 1 |
| | persons | | | places | | | globalScore | 0.887 | | windowScore | 0.833 | |
| 93.18% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 88 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like lead filled with wet sand" | | 1 | "sounded like dried bones" |
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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 | 1333 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 191 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 69 | | mean | 19.32 | | std | 17.19 | | cv | 0.89 | | sampleLengths | | 0 | 63 | | 1 | 23 | | 2 | 6 | | 3 | 85 | | 4 | 9 | | 5 | 7 | | 6 | 14 | | 7 | 2 | | 8 | 19 | | 9 | 3 | | 10 | 2 | | 11 | 27 | | 12 | 2 | | 13 | 51 | | 14 | 27 | | 15 | 27 | | 16 | 9 | | 17 | 25 | | 18 | 27 | | 19 | 1 | | 20 | 9 | | 21 | 27 | | 22 | 54 | | 23 | 24 | | 24 | 20 | | 25 | 7 | | 26 | 48 | | 27 | 5 | | 28 | 23 | | 29 | 24 | | 30 | 5 | | 31 | 18 | | 32 | 33 | | 33 | 35 | | 34 | 2 | | 35 | 8 | | 36 | 5 | | 37 | 25 | | 38 | 11 | | 39 | 1 | | 40 | 2 | | 41 | 6 | | 42 | 2 | | 43 | 5 | | 44 | 40 | | 45 | 33 | | 46 | 28 | | 47 | 23 | | 48 | 9 | | 49 | 37 |
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| 96.81% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 166 | | matches | | 0 | "were frozen" | | 1 | "was carpeted" | | 2 | "was blackened" | | 3 | "was gone" |
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| 37.40% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 205 | | matches | | 0 | "wasn't reacting" | | 1 | "was waking" | | 2 | "was getting" | | 3 | "was blazing" | | 4 | "was trying" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 191 | | ratio | 0.005 | | matches | | 0 | "Wildflowers bloomed in every colour imaginable—neon purple, bioluminescent blue, and roses that throbbed with a slow, rhythmic pulse." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1142 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 39 | | adverbRatio | 0.03415061295971979 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.005253940455341506 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 191 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 191 | | mean | 6.98 | | std | 4.3 | | cv | 0.616 | | sampleLengths | | 0 | 22 | | 1 | 14 | | 2 | 16 | | 3 | 11 | | 4 | 4 | | 5 | 13 | | 6 | 6 | | 7 | 6 | | 8 | 3 | | 9 | 16 | | 10 | 10 | | 11 | 4 | | 12 | 23 | | 13 | 18 | | 14 | 11 | | 15 | 4 | | 16 | 4 | | 17 | 1 | | 18 | 4 | | 19 | 3 | | 20 | 8 | | 21 | 6 | | 22 | 2 | | 23 | 7 | | 24 | 12 | | 25 | 3 | | 26 | 2 | | 27 | 11 | | 28 | 8 | | 29 | 8 | | 30 | 2 | | 31 | 6 | | 32 | 12 | | 33 | 7 | | 34 | 10 | | 35 | 6 | | 36 | 10 | | 37 | 13 | | 38 | 4 | | 39 | 2 | | 40 | 2 | | 41 | 6 | | 42 | 7 | | 43 | 11 | | 44 | 2 | | 45 | 2 | | 46 | 5 | | 47 | 9 | | 48 | 4 | | 49 | 6 |
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| 41.62% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.28272251308900526 | | totalSentences | 191 | | uniqueOpeners | 54 | |
| 47.28% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 141 | | matches | | 0 | "Just the creak of the" | | 1 | "Just a spinning radar icon." |
| | ratio | 0.014 | |
| 75.32% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 51 | | totalSentences | 141 | | matches | | 0 | "She stepped over a rotting" | | 1 | "She checked her watch." | | 2 | "It was bigger, wilder." | | 3 | "They had no scent, just" | | 4 | "She scanned the perimeter." | | 5 | "It was heavy, much heavier" | | 6 | "It felt like lead filled" | | 7 | "She passed them without a" | | 8 | "Her breath fogged in the" | | 9 | "She pulled her phone from" | | 10 | "She heard it then." | | 11 | "She stopped, twisting around." | | 12 | "Her stomach growled, a loud," | | 13 | "She hadn't eaten since that" | | 14 | "She walked further into the" | | 15 | "She pressed a hand over" | | 16 | "It wasn't reacting to a" | | 17 | "He was tall, shrouded in" | | 18 | "His silhouette was lean, athletic." | | 19 | "He turned slowly." |
| | ratio | 0.362 | |
| 20.28% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 124 | | totalSentences | 141 | | matches | | 0 | "The silver chain bit into" | | 1 | "Rory adjusted her grip on" | | 2 | "She stepped over a rotting" | | 3 | "The Richmond Park gate behind" | | 4 | "She checked her watch." | | 5 | "A luxury Swiss piece, gifted" | | 6 | "The hands were frozen at" | | 7 | "The forest thinned." | | 8 | "The ancient oaks, their branches" | | 9 | "This wasn't the Richmond Park" | | 10 | "It was bigger, wilder." | | 11 | "Every inch of the ground" | | 12 | "Wildflowers bloomed in every colour" | | 13 | "They had no scent, just" | | 14 | "Rory took a breath." | | 15 | "The air tasted metallic." | | 16 | "She scanned the perimeter." | | 17 | "Eva had said that morning" | | 18 | "Eva had hissed" | | 19 | "Rory spun the satchel in" |
| | ratio | 0.879 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 141 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 2 | | matches | | 0 | "Every inch of the ground was carpeted in a thick layer of moss that moved with the wind, undulating like liquid green silk." | | 1 | "Wildflowers bloomed in every colour imaginable—neon purple, bioluminescent blue, and roses that throbbed with a slow, rhythmic pulse." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 13.64% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 6 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she whispered (whisper)" | | 2 | "Rory lied (lie)" | | 3 | "the man corrected gently (correct)" | | 4 | "the man observed (observe)" | | 5 | "she lied again (lie)" |
| | dialogueSentences | 44 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.545 | | effectiveRatio | 0.273 | |