| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 6 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 83.35% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 901 | | totalAiIsmAdverbs | 3 | | 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) | |
| 27.86% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 901 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "flicked" | | 1 | "unwavering" | | 2 | "pounding" | | 3 | "traced" | | 4 | "silence" | | 5 | "glint" | | 6 | "tracing" | | 7 | "unspoken" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 2 |
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| | highlights | | 0 | "eyes narrowed" | | 1 | "eyes widened" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 46 | | matches | (empty) | |
| 0.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 2 | | narrationSentences | 46 | | filterMatches | | | hedgeMatches | | |
| 73.46% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 46 | | gibberishSentences | 2 | | adjustedGibberishSentences | 2 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 159 | | ratio | 0.043 | | matches | | 0 | "</character>" | | 1 | "<location id=\"858\" name=\"The Raven's Nest\" PEROPLE use the codex to bringrounded in the lore of the Raven's Nest, a secret society of powerful beings known as the Children of the R…" |
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| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 902 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 10 | | wordCount | 749 | | uniqueNames | 5 | | maxNameDensity | 0.53 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 4 | | Harlow | 2 | | Raven | 2 | | Nest | 1 | | Children | 1 |
| | persons | | | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 38 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 89.14% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.109 | | wordCount | 902 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 46 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 13 | | mean | 69.38 | | std | 66.64 | | cv | 0.96 | | sampleLengths | | 0 | 7 | | 1 | 75 | | 2 | 35 | | 3 | 35 | | 4 | 57 | | 5 | 68 | | 6 | 68 | | 7 | 47 | | 8 | 64 | | 9 | 1 | | 10 | 31 | | 11 | 149 | | 12 | 265 |
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| 97.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 46 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 110 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 366 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 13 | | adverbRatio | 0.03551912568306011 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.01639344262295082 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 46 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 46 | | mean | 19.61 | | std | 24.67 | | cv | 1.258 | | sampleLengths | | 0 | 6 | | 1 | 1 | | 2 | 25 | | 3 | 12 | | 4 | 13 | | 5 | 19 | | 6 | 6 | | 7 | 20 | | 8 | 5 | | 9 | 10 | | 10 | 9 | | 11 | 13 | | 12 | 13 | | 13 | 4 | | 14 | 4 | | 15 | 12 | | 16 | 6 | | 17 | 23 | | 18 | 8 | | 19 | 11 | | 20 | 11 | | 21 | 19 | | 22 | 27 | | 23 | 3 | | 24 | 17 | | 25 | 11 | | 26 | 25 | | 27 | 12 | | 28 | 17 | | 29 | 17 | | 30 | 13 | | 31 | 15 | | 32 | 13 | | 33 | 36 | | 34 | 1 | | 35 | 31 | | 36 | 21 | | 37 | 12 | | 38 | 18 | | 39 | 25 | | 40 | 5 | | 41 | 8 | | 42 | 60 | | 43 | 69 | | 44 | 37 | | 45 | 159 |
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| 63.04% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.45652173913043476 | | totalSentences | 46 | | uniqueOpeners | 21 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 43 | | matches | | 0 | "then she whispered to the" | | 1 | "then she noticed a figure" |
| | ratio | 0.047 | |
| 52.56% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 43 | | matches | | 0 | "It was a bad part" | | 1 | "Her eyes flicked to the" | | 2 | "his hair peppered with gray." | | 3 | "He was neither angry nor" | | 4 | "She stood abruptly, her heart" | | 5 | "her lungs drawing in rapid" | | 6 | "It was a symbol of" | | 7 | "She turned away, her mind" | | 8 | "Her fingers traced the numbers," | | 9 | "She started to move, drawing" | | 10 | "her eyes hardened, and she" | | 11 | "her eyes flicked to the" | | 12 | "their eyes catching the glint" | | 13 | "their hands reaching for the" | | 14 | "their eyes widened as they" | | 15 | "their hands balling into fists." | | 16 | "their fingers brushing the bloodied" | | 17 | "their breath catching in the" |
| | ratio | 0.419 | |
| 53.02% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 35 | | totalSentences | 43 | | matches | | 0 | "players, if it advancesances the" | | 1 | "It was a bad part" | | 2 | "Quinn had been there for" | | 3 | "Her eyes flicked to the" | | 4 | "The time was nigh, the" | | 5 | "a stout man with a" | | 6 | "his hair peppered with gray." | | 7 | "He was neither angry nor" | | 8 | "Quinn's eyes darted to the" | | 9 | "Harlow checked her watch." | | 10 | "She stood abruptly, her heart" | | 11 | "her lungs drawing in rapid" | | 12 | "Quinn's breath hitched slightly as" | | 13 | "It was a symbol of" | | 14 | "The detective's gaze lingered on" | | 15 | "She turned away, her mind" | | 16 | "Her fingers traced the numbers," | | 17 | "A small smirk tugged at" | | 18 | "Quinn's eyes narrowased." | | 19 | "She started to move, drawing" |
| | ratio | 0.814 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 43 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 1 | | matches | | 0 | "The detective's gaze shifted to the old man, then back to the young woman, her eyes narrowing, her hand reaching out to grasp something, anything to keep the yo…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 6 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 1 | | effectiveRatio | 0.333 | |