| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 29 | | tagDensity | 0.655 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.62% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1567 | | 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) | |
| 52.14% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1567 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "pulse" | | 1 | "racing" | | 2 | "loomed" | | 3 | "sentinels" | | 4 | "chill" | | 5 | "warmth" | | 6 | "vibrated" | | 7 | "silence" | | 8 | "pulsed" | | 9 | "weight" | | 10 | "flickered" | | 11 | "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 | 272 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 272 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 283 | | 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 | 1567 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 1466 | | uniqueNames | 10 | | maxNameDensity | 1.23 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Aurora" | | discoveredNames | | Heartstone | 1 | | Pendant | 1 | | Carter | 1 | | London | 2 | | Hel | 1 | | Earth | 1 | | Fae | 1 | | Aurora | 18 | | Silas | 6 | | Grove | 1 |
| | persons | | 0 | "Pendant" | | 1 | "Carter" | | 2 | "Earth" | | 3 | "Aurora" | | 4 | "Silas" |
| | places | | 0 | "Heartstone" | | 1 | "London" | | 2 | "Hel" | | 3 | "Grove" |
| | globalScore | 0.886 | | windowScore | 0.667 | |
| 69.35% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 93 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like skin, soft and yielding under" | | 1 | "looked like rags woven from shadow" | | 2 | "sounded like dry leaves skittering on pave" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.638 | | wordCount | 1567 | | matches | | 0 | "Not the silence of an empty room, but the silence of a held breath" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 283 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 76 | | mean | 20.62 | | std | 18.71 | | cv | 0.907 | | sampleLengths | | 0 | 91 | | 1 | 55 | | 2 | 6 | | 3 | 58 | | 4 | 13 | | 5 | 16 | | 6 | 60 | | 7 | 34 | | 8 | 16 | | 9 | 54 | | 10 | 13 | | 11 | 86 | | 12 | 10 | | 13 | 17 | | 14 | 5 | | 15 | 5 | | 16 | 43 | | 17 | 38 | | 18 | 41 | | 19 | 31 | | 20 | 18 | | 21 | 16 | | 22 | 23 | | 23 | 7 | | 24 | 33 | | 25 | 5 | | 26 | 24 | | 27 | 22 | | 28 | 7 | | 29 | 43 | | 30 | 5 | | 31 | 6 | | 32 | 43 | | 33 | 25 | | 34 | 9 | | 35 | 42 | | 36 | 5 | | 37 | 42 | | 38 | 2 | | 39 | 49 | | 40 | 18 | | 41 | 17 | | 42 | 3 | | 43 | 30 | | 44 | 13 | | 45 | 5 | | 46 | 24 | | 47 | 3 | | 48 | 34 | | 49 | 25 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 272 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 297 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 283 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1241 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 34 | | adverbRatio | 0.0273972602739726 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.0064464141821112 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 283 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 283 | | mean | 5.54 | | std | 3.09 | | cv | 0.559 | | sampleLengths | | 0 | 7 | | 1 | 19 | | 2 | 18 | | 3 | 17 | | 4 | 6 | | 5 | 4 | | 6 | 20 | | 7 | 8 | | 8 | 14 | | 9 | 9 | | 10 | 11 | | 11 | 5 | | 12 | 5 | | 13 | 3 | | 14 | 6 | | 15 | 2 | | 16 | 4 | | 17 | 5 | | 18 | 8 | | 19 | 9 | | 20 | 13 | | 21 | 7 | | 22 | 10 | | 23 | 4 | | 24 | 9 | | 25 | 2 | | 26 | 14 | | 27 | 3 | | 28 | 8 | | 29 | 9 | | 30 | 13 | | 31 | 11 | | 32 | 13 | | 33 | 3 | | 34 | 2 | | 35 | 14 | | 36 | 4 | | 37 | 3 | | 38 | 2 | | 39 | 4 | | 40 | 5 | | 41 | 6 | | 42 | 10 | | 43 | 4 | | 44 | 5 | | 45 | 6 | | 46 | 5 | | 47 | 4 | | 48 | 10 | | 49 | 7 |
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| 29.51% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 58 | | diversityRatio | 0.18374558303886926 | | totalSentences | 283 | | uniqueOpeners | 52 | |
| 70.92% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 235 | | matches | | 0 | "Only the faint inner glow" | | 1 | "Just the flowers." | | 2 | "Just the stones." | | 3 | "Just the dark." | | 4 | "Just dead grass and mud." |
| | ratio | 0.021 | |
| 37.87% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 107 | | totalSentences | 235 | | matches | | 0 | "She stepped past the first" | | 1 | "She crouched to inspect a" | | 2 | "She pulled her hand back." | | 3 | "It watched her." | | 4 | "She did not turn." | | 5 | "She kept her eyes fixed" | | 6 | "It vibrated now, a low" | | 7 | "Her voice sounded flat, swallowed" | | 8 | "She walked forward." | | 9 | "Her boots made no sound" | | 10 | "They moved independently." | | 11 | "She lowered her hand." | | 12 | "She checked her watch." | | 13 | "It blurred into a silver" | | 14 | "She snapped the lid shut." | | 15 | "She reached up to touch" | | 16 | "Her fingers hovered inches from" | | 17 | "It was too hot to" | | 18 | "She pressed her back against" | | 19 | "She closed her eyes for" |
| | ratio | 0.455 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 223 | | totalSentences | 235 | | matches | | 0 | "The silver chain bit into" | | 1 | "Heat radiated from the Heartstone" | | 2 | "Aurora Carter pressed her thumb" | | 3 | "The boundary stones loomed ahead," | | 4 | "She stepped past the first" | | 5 | "The air changed instantly." | | 6 | "The chill of the London" | | 7 | "Wildflowers bloomed in the grass" | | 8 | "Bluebells and foxgloves carpeted the" | | 9 | "She crouched to inspect a" | | 10 | "The texture felt like skin," | | 11 | "She pulled her hand back." | | 12 | "The flower did not bruise." | | 13 | "It watched her." | | 14 | "A twig snapped to her" | | 15 | "She did not turn." | | 16 | "She kept her eyes fixed" | | 17 | "The path wound between the" | | 18 | "The pendant grew hotter against" | | 19 | "It vibrated now, a low" |
| | ratio | 0.949 | |
| 21.28% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 235 | | matches | | 0 | "If the pendant burned, the" |
| | ratio | 0.004 | |
| 44.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 4 | | matches | | 0 | "Heat radiated from the Heartstone Pendant, a deep crimson pulse that matched the rhythm of her own racing heart." | | 1 | "The crimson light cast long, distorted shadows that stretched away from her body." | | 2 | "The words felt heavy, as if she were speaking underwater." | | 3 | "The benefactor who gave it to her had said it reacted to Hel portals." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 17 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 29 | | tagDensity | 0.586 | | leniency | 1 | | rawRatio | 0.059 | | effectiveRatio | 0.059 | |