| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 3 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 87.71% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 814 | | 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 | 814 | | totalAiIsms | 20 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | word | "sent shivers down" | | count | 1 |
| | 13 | | | 14 | | | 15 | |
| | highlights | | 0 | "looming" | | 1 | "sentinels" | | 2 | "otherworldly" | | 3 | "pulse" | | 4 | "warmth" | | 5 | "silence" | | 6 | "scanned" | | 7 | "intricate" | | 8 | "sense of" | | 9 | "stomach" | | 10 | "tension" | | 11 | "racing" | | 12 | "sent shivers down" | | 13 | "echoing" | | 14 | "pulsed" | | 15 | "grave" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
|
| | highlights | | 0 | "The air was heavy with" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 50 | | matches | (empty) | |
| 0.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 14 | | narrationSentences | 50 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "began to" | | 2 | "tried to" | | 3 | "seem to" |
| |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 51 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 812 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 62.94% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 804 | | uniqueNames | 5 | | maxNameDensity | 1.74 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Grove" | | discoveredNames | | Fae | 1 | | Grove | 6 | | Heartstone | 1 | | Pendant | 1 | | Rory | 14 |
| | persons | | | places | | | globalScore | 0.629 | | windowScore | 0.833 | |
| 47.96% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | glossingSentenceCount | 2 | | matches | | 0 | "seemed rooted to the spot" | | 1 | "seemed rooted to the spot" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 812 | | matches | (empty) | |
| 0.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 51 | | matches | | 0 | "noticed that the" | | 1 | "realized that she" | | 2 | "knew that she" |
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| 88.49% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 19 | | mean | 42.74 | | std | 19.65 | | cv | 0.46 | | sampleLengths | | 0 | 87 | | 1 | 58 | | 2 | 59 | | 3 | 61 | | 4 | 49 | | 5 | 54 | | 6 | 54 | | 7 | 10 | | 8 | 16 | | 9 | 30 | | 10 | 48 | | 11 | 30 | | 12 | 5 | | 13 | 39 | | 14 | 60 | | 15 | 52 | | 16 | 37 | | 17 | 30 | | 18 | 33 |
| |
| 98.25% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 50 | | matches | | |
| 62.07% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 145 | | matches | | 0 | "were trying" | | 1 | "was watching" | | 2 | "was racing" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 51 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 806 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.034739454094292806 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.011166253101736972 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 51 | | echoCount | 0 | | echoWords | (empty) | |
| 81.41% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 51 | | mean | 15.92 | | std | 5.63 | | cv | 0.354 | | sampleLengths | | 0 | 15 | | 1 | 24 | | 2 | 22 | | 3 | 26 | | 4 | 13 | | 5 | 16 | | 6 | 15 | | 7 | 14 | | 8 | 12 | | 9 | 23 | | 10 | 24 | | 11 | 31 | | 12 | 15 | | 13 | 15 | | 14 | 20 | | 15 | 4 | | 16 | 25 | | 17 | 14 | | 18 | 18 | | 19 | 22 | | 20 | 11 | | 21 | 14 | | 22 | 20 | | 23 | 9 | | 24 | 10 | | 25 | 6 | | 26 | 10 | | 27 | 18 | | 28 | 12 | | 29 | 17 | | 30 | 16 | | 31 | 15 | | 32 | 15 | | 33 | 15 | | 34 | 5 | | 35 | 12 | | 36 | 14 | | 37 | 13 | | 38 | 11 | | 39 | 11 | | 40 | 15 | | 41 | 23 | | 42 | 15 | | 43 | 17 | | 44 | 20 | | 45 | 12 | | 46 | 25 | | 47 | 12 | | 48 | 18 | | 49 | 10 |
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| 50.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.3137254901960784 | | totalSentences | 51 | | uniqueOpeners | 16 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 50 | | matches | | 0 | "Just the stillness, and the" | | 1 | "Suddenly, the rustling stopped, and" |
| | ratio | 0.04 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 50 | | matches | | 0 | "She had come to the" | | 1 | "She had been warned not" | | 2 | "She approached the stone, running" | | 3 | "She wrinkled her nose, trying" | | 4 | "It started in the pit" | | 5 | "She tried to shake it" | | 6 | "She spun around, but there" | | 7 | "she called out, but there" | | 8 | "She tried to take a" | | 9 | "She tried to call out" | | 10 | "She turned to make a" | | 11 | "She tried to run, but" | | 12 | "She turned and ran, dashing" |
| | ratio | 0.26 | |
| 60.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 40 | | totalSentences | 50 | | matches | | 0 | "Rory stepped through the ancient" | | 1 | "The moon was new, but" | | 2 | "She had come to the" | | 3 | "The Heartstone Pendant, with its" | | 4 | "The trees seemed to lean" | | 5 | "Rory's eyes scanned the perimeter," | | 6 | "She had been warned not" | | 7 | "Eva had told her stories" | | 8 | "She approached the stone, running" | | 9 | "The symbols seemed to be" | | 10 | "The air was heavy with" | | 11 | "Something earthy and decaying." | | 12 | "She wrinkled her nose, trying" | | 13 | "It started in the pit" | | 14 | "She tried to shake it" | | 15 | "Rory turned, expecting to see" | | 16 | "The rustling grew louder, and" | | 17 | "She spun around, but there" | | 18 | "a voice whispered, the sound" | | 19 | "Rory spun around, her heart" |
| | ratio | 0.8 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 50 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 2 | | matches | | 0 | "She had come to the Grove seeking answers, hoping to find some clue about the mysterious pendant that hung around her neck." | | 1 | "The rustling grew louder, and she could see the wildflowers swaying, as if someone was moving through them." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 1 | | matches | | 0 | "a voice whispered, the sound carrying on the breeze" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "a voice whispered (whisper)" | | 1 | "she called out (call out)" |
| | dialogueSentences | 3 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |