| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1157 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 39.50% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1157 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "silence" | | 1 | "weight" | | 2 | "pulsed" | | 3 | "perfect" | | 4 | "echo" | | 5 | "warmth" | | 6 | "scanned" | | 7 | "grave" | | 8 | "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 | 170 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 170 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 170 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 20 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1157 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 75.11% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 1135 | | uniqueNames | 4 | | maxNameDensity | 1.5 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Heartstone | 2 | | Rory | 17 |
| | persons | | | places | | | globalScore | 0.751 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 84 | | 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 | 1157 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 170 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 56 | | mean | 20.66 | | std | 16.7 | | cv | 0.808 | | sampleLengths | | 0 | 81 | | 1 | 9 | | 2 | 76 | | 3 | 20 | | 4 | 14 | | 5 | 49 | | 6 | 51 | | 7 | 36 | | 8 | 5 | | 9 | 5 | | 10 | 42 | | 11 | 41 | | 12 | 26 | | 13 | 3 | | 14 | 37 | | 15 | 8 | | 16 | 34 | | 17 | 25 | | 18 | 4 | | 19 | 17 | | 20 | 3 | | 21 | 32 | | 22 | 8 | | 23 | 37 | | 24 | 23 | | 25 | 7 | | 26 | 30 | | 27 | 15 | | 28 | 8 | | 29 | 33 | | 30 | 10 | | 31 | 23 | | 32 | 5 | | 33 | 25 | | 34 | 19 | | 35 | 27 | | 36 | 6 | | 37 | 12 | | 38 | 21 | | 39 | 4 | | 40 | 33 | | 41 | 6 | | 42 | 5 | | 43 | 7 | | 44 | 22 | | 45 | 23 | | 46 | 23 | | 47 | 18 | | 48 | 17 | | 49 | 14 |
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| 99.07% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 170 | | matches | | 0 | "was gone" | | 1 | "was gone" | | 2 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 207 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 170 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1137 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 20 | | adverbRatio | 0.01759014951627089 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.003518029903254178 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 170 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 170 | | mean | 6.81 | | std | 3.84 | | cv | 0.564 | | sampleLengths | | 0 | 11 | | 1 | 19 | | 2 | 14 | | 3 | 19 | | 4 | 18 | | 5 | 4 | | 6 | 5 | | 7 | 7 | | 8 | 11 | | 9 | 17 | | 10 | 10 | | 11 | 17 | | 12 | 14 | | 13 | 9 | | 14 | 11 | | 15 | 4 | | 16 | 10 | | 17 | 3 | | 18 | 17 | | 19 | 16 | | 20 | 13 | | 21 | 3 | | 22 | 16 | | 23 | 7 | | 24 | 1 | | 25 | 6 | | 26 | 10 | | 27 | 8 | | 28 | 6 | | 29 | 5 | | 30 | 5 | | 31 | 20 | | 32 | 5 | | 33 | 5 | | 34 | 3 | | 35 | 14 | | 36 | 7 | | 37 | 7 | | 38 | 11 | | 39 | 9 | | 40 | 15 | | 41 | 10 | | 42 | 7 | | 43 | 8 | | 44 | 5 | | 45 | 4 | | 46 | 4 | | 47 | 5 | | 48 | 3 | | 49 | 4 |
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| 31.18% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 32 | | diversityRatio | 0.12941176470588237 | | totalSentences | 170 | | uniqueOpeners | 22 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 158 | | matches | (empty) | | ratio | 0 | |
| 75.70% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 57 | | totalSentences | 158 | | matches | | 0 | "She stepped into the clearing" | | 1 | "She checked her watch." | | 2 | "She ignored the anomaly and" | | 3 | "It grew hotter with every" | | 4 | "She needed to find the" | | 5 | "Her voice sounded flat, absorbed" | | 6 | "Her boots crunched on the" | | 7 | "She stopped and waited for" | | 8 | "She touched the small crescent-shaped" | | 9 | "She turned in a slow" | | 10 | "Her hand went to the" | | 11 | "She stepped back toward the" | | 12 | "She walked until the glow" | | 13 | "Their petals were black." | | 14 | "Their stems were gray." | | 15 | "They looked like dried bones." | | 16 | "She clamped her hand over" | | 17 | "Her fingers closed around the" | | 18 | "She pulled her hand away." | | 19 | "She heard a sound then," |
| | ratio | 0.361 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 155 | | totalSentences | 158 | | matches | | 0 | "Rory crossed the threshold marked" | | 1 | "The bark felt cold against" | | 2 | "She stepped into the clearing" | | 3 | "The silence here possessed weight," | | 4 | "Wildflowers bloomed in the mud," | | 5 | "She checked her watch." | | 6 | "The second hand ticked backward." | | 7 | "Rory tapped the face of" | | 8 | "The digits remained frozen on" | | 9 | "She ignored the anomaly and" | | 10 | "The Heartstone pendant hung against" | | 11 | "The deep crimson gem pulsed" | | 12 | "It grew hotter with every" | | 13 | "She needed to find the" | | 14 | "The pendant had led her" | | 15 | "Her voice sounded flat, absorbed" | | 16 | "The trees surrounding the clearing" | | 17 | "Shadows stretched long and thin" | | 18 | "The moon hung high and" | | 19 | "Rory moved forward." |
| | ratio | 0.981 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 158 | | matches | (empty) | | ratio | 0 | |
| 98.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 2 | | matches | | 0 | "The bark felt cold against her fingertips, slick with a moisture that defied the dry air of Richmond Park." | | 1 | "The sound tore through the silence, a high-pitched wail that shattered the stillness." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 87.50% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 8 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0.125 | | effectiveRatio | 0.125 | |