| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 43 | | tagDensity | 0.349 | | leniency | 0.698 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.50% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1334 | | 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) | |
| 58.77% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1334 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "churned" | | 1 | "shimmered" | | 2 | "whisper" | | 3 | "pulsed" | | 4 | "throb" | | 5 | "flickered" | | 6 | "gloom" | | 7 | "stomach" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 150 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 150 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 178 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1334 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 24 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 71 | | wordCount | 1077 | | uniqueNames | 10 | | maxNameDensity | 2.51 | | worstName | "Rory" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Nyx | 12 | | Heartstone | 4 | | Pendant | 1 | | Rory | 27 | | London | 1 | | Fae | 2 | | Isolde | 21 | | December | 1 | | Dymas | 1 |
| | persons | | 0 | "Nyx" | | 1 | "Heartstone" | | 2 | "Pendant" | | 3 | "Rory" | | 4 | "Isolde" |
| | places | | 0 | "Richmond" | | 1 | "London" | | 2 | "December" |
| | globalScore | 0.247 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 76 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 50.07% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.499 | | wordCount | 1334 | | matches | | 0 | "not strong enough yet to make it glow, but the metal felt heavier than it should" | | 1 | "not higher, but faster" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 178 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 82 | | mean | 16.27 | | std | 12.7 | | cv | 0.781 | | sampleLengths | | 0 | 36 | | 1 | 49 | | 2 | 2 | | 3 | 17 | | 4 | 15 | | 5 | 4 | | 6 | 9 | | 7 | 2 | | 8 | 28 | | 9 | 58 | | 10 | 26 | | 11 | 27 | | 12 | 5 | | 13 | 18 | | 14 | 8 | | 15 | 36 | | 16 | 35 | | 17 | 9 | | 18 | 6 | | 19 | 17 | | 20 | 5 | | 21 | 4 | | 22 | 11 | | 23 | 1 | | 24 | 31 | | 25 | 16 | | 26 | 4 | | 27 | 9 | | 28 | 7 | | 29 | 7 | | 30 | 8 | | 31 | 40 | | 32 | 5 | | 33 | 4 | | 34 | 13 | | 35 | 39 | | 36 | 15 | | 37 | 19 | | 38 | 18 | | 39 | 5 | | 40 | 33 | | 41 | 41 | | 42 | 10 | | 43 | 8 | | 44 | 9 | | 45 | 20 | | 46 | 6 | | 47 | 15 | | 48 | 13 | | 49 | 20 |
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| 95.91% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 150 | | matches | | 0 | "were locked" | | 1 | "was gone" | | 2 | "been ten" | | 3 | "were used" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 203 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 178 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1077 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 14 | | adverbRatio | 0.012999071494893221 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.003714020427112349 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 178 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 178 | | mean | 7.49 | | std | 4.77 | | cv | 0.636 | | sampleLengths | | 0 | 18 | | 1 | 18 | | 2 | 5 | | 3 | 18 | | 4 | 21 | | 5 | 5 | | 6 | 2 | | 7 | 13 | | 8 | 4 | | 9 | 3 | | 10 | 6 | | 11 | 6 | | 12 | 4 | | 13 | 2 | | 14 | 7 | | 15 | 2 | | 16 | 3 | | 17 | 10 | | 18 | 10 | | 19 | 5 | | 20 | 7 | | 21 | 4 | | 22 | 17 | | 23 | 20 | | 24 | 10 | | 25 | 3 | | 26 | 5 | | 27 | 5 | | 28 | 13 | | 29 | 15 | | 30 | 12 | | 31 | 5 | | 32 | 3 | | 33 | 9 | | 34 | 6 | | 35 | 8 | | 36 | 16 | | 37 | 12 | | 38 | 8 | | 39 | 9 | | 40 | 8 | | 41 | 18 | | 42 | 2 | | 43 | 7 | | 44 | 6 | | 45 | 4 | | 46 | 13 | | 47 | 5 | | 48 | 4 | | 49 | 4 |
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| 37.08% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 23 | | diversityRatio | 0.20786516853932585 | | totalSentences | 178 | | uniqueOpeners | 37 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 124 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 124 | | matches | | 0 | "She lifted her left hand" | | 1 | "Their silhouette thinned at the" | | 2 | "She stepped forward." | | 3 | "Her ears rang." | | 4 | "It made a sound through" | | 5 | "She stood five foot five," | | 6 | "She wore a simple grey" | | 7 | "She left no prints in" | | 8 | "She had not thought about" | | 9 | "She checked her phone out" | | 10 | "It should have been ten" | | 11 | "She put the phone away." | | 12 | "She heard water." | | 13 | "She knelt and touched it." | | 14 | "Her fingers came away wet" | | 15 | "Their hand did not touch" | | 16 | "She walked to the stream" | | 17 | "She cupped her hands and" | | 18 | "She brushed it away." | | 19 | "It did not fly." |
| | ratio | 0.21 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 120 | | totalSentences | 124 | | matches | | 0 | "The park gates were locked" | | 1 | "Rory ducked under the low" | | 2 | "The trees were close here." | | 3 | "The path narrowed to a" | | 4 | "A line of standing stones" | | 5 | "The air around them shimmered." | | 6 | "She lifted her left hand" | | 7 | "The Heartstone Pendant warmed." | | 8 | "Nyx stopped too." | | 9 | "Their silhouette thinned at the" | | 10 | "A whisper moved over Rory's" | | 11 | "She stepped forward." | | 12 | "The grass under her trainers" | | 13 | "The stones did not touch" | | 14 | "The light between them changed." | | 15 | "The mud was gone." | | 16 | "The ground became pale, smooth" | | 17 | "Wildflowers pressed up around her" | | 18 | "The smell hit her next," | | 19 | "Rory looked back." |
| | ratio | 0.968 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 124 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 1 | | matches | | 0 | "The water was rising, not higher, but faster, and the surface showed reflections that were not of the grove." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 43 | | tagDensity | 0.349 | | leniency | 0.698 | | rawRatio | 0 | | effectiveRatio | 0 | |