| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.714 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 585 | | 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) | |
| 40.17% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 585 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "chill" | | 1 | "pulse" | | 2 | "could feel" | | 3 | "silence" | | 4 | "quivered" | | 5 | "jaw clenched" | | 6 | "unreadable" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 41 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 41 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 43 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 582 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 74.53% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 530 | | uniqueNames | 19 | | maxNameDensity | 1.51 | | worstName | "Nyx" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Nyx" | | discoveredNames | | Fae | 4 | | Grove | 1 | | Nyx | 8 | | Towering | 1 | | Isolde | 3 | | Rory | 8 | | Shades | 1 | | Dmnt | 1 | | Fulópr | 1 | | Hel | 1 | | Hansdá | 1 | | Ni | 1 | | Seer | 1 | | Chainards | 1 | | Dymas | 1 | | Ed | 1 | | Dmonts | 1 | | Shade | 2 | | Fae-forged | 2 |
| | persons | | 0 | "Nyx" | | 1 | "Isolde" | | 2 | "Rory" | | 3 | "Fulópr" | | 4 | "Hansdá" | | 5 | "Seer" | | 6 | "Dymas" | | 7 | "Ed" | | 8 | "Shade" |
| | places | | 0 | "Fae" | | 1 | "Grove" | | 2 | "Dmnt" | | 3 | "Hel" | | 4 | "Ni" |
| | globalScore | 0.745 | | windowScore | 0.833 | |
| 76.47% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 34 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed unperturbed her ageless face holding a rippling smile, eyes seeing Chainards" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 582 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 43 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 18 | | mean | 32.33 | | std | 18.76 | | cv | 0.58 | | sampleLengths | | 0 | 59 | | 1 | 56 | | 2 | 36 | | 3 | 32 | | 4 | 25 | | 5 | 37 | | 6 | 4 | | 7 | 26 | | 8 | 16 | | 9 | 47 | | 10 | 70 | | 11 | 26 | | 12 | 53 | | 13 | 5 | | 14 | 44 | | 15 | 18 | | 16 | 13 | | 17 | 15 |
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| 96.71% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 41 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 93 | | matches | (empty) | |
| 9.97% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 43 | | ratio | 0.047 | | matches | | 0 | "Rory paused at the threshold, taking in the gushing fountains, the jeweled mosaics, the sumptuous tapestries telling Dmonts of glutton's tales—all rendered in head-turning motion and vibrant al." | | 1 | "WeeI don't What did—and do—they nf the T?" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 540 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.037037037037037035 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.011111111111111112 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 43 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 43 | | mean | 13.53 | | std | 6.76 | | cv | 0.5 | | sampleLengths | | 0 | 30 | | 1 | 13 | | 2 | 16 | | 3 | 18 | | 4 | 13 | | 5 | 12 | | 6 | 13 | | 7 | 10 | | 8 | 26 | | 9 | 19 | | 10 | 13 | | 11 | 25 | | 12 | 20 | | 13 | 17 | | 14 | 4 | | 15 | 11 | | 16 | 15 | | 17 | 4 | | 18 | 12 | | 19 | 17 | | 20 | 19 | | 21 | 11 | | 22 | 14 | | 23 | 19 | | 24 | 5 | | 25 | 10 | | 26 | 22 | | 27 | 12 | | 28 | 14 | | 29 | 20 | | 30 | 28 | | 31 | 1 | | 32 | 4 | | 33 | 5 | | 34 | 19 | | 35 | 12 | | 36 | 6 | | 37 | 7 | | 38 | 14 | | 39 | 4 | | 40 | 11 | | 41 | 8 | | 42 | 9 |
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| 95.35% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.6046511627906976 | | totalSentences | 43 | | uniqueOpeners | 26 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 39 | | matches | (empty) | | ratio | 0 | |
| 96.92% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 39 | | matches | | 0 | "Her hand tightened around Nyx's" | | 1 | "she breathed, eyes wide with" | | 2 | "She led them along a" | | 3 | "they whispered, one hand reaching" | | 4 | "She could feel prickling beneath" | | 5 | "She shook her head." | | 6 | "They continued in companionable if" | | 7 | "It was all indencerays." | | 8 | "It was all a lot." | | 9 | "She shot a glance at" | | 10 | "She tucked a strand of" | | 11 | "She heard rather than saw" |
| | ratio | 0.308 | |
| 49.74% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 32 | | totalSentences | 39 | | matches | | 0 | "The qualità of the air" | | 1 | "Rory took a deep breath," | | 2 | "Her hand tightened around Nyx's" | | 3 | "she breathed, eyes wide with" | | 4 | "Isolde glided-wordlessly ahead, her hair" | | 5 | "She led them along a" | | 6 | "Nyx, living shadow made semisolid," | | 7 | "they whispered, one hand reaching" | | 8 | "Isolde's voice, holding a sibilant" | | 9 | "Rory tucked her hand into" | | 10 | "She could feel prickling beneath" | | 11 | "Nyx's hooded violet eyes met" | | 12 | "She shook her head." | | 13 | "Nyx made a noncommittal noise" | | 14 | "They continued in companionable if" | | 15 | "Each step brought them more" | | 16 | "The air grew warmer, damper." | | 17 | "The megafl Hansdá quivered with" | | 18 | "Rory rubbed at the goosebumps" | | 19 | "Rory mumbled, stepping aside to" |
| | ratio | 0.821 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 39 | | matches | (empty) | | ratio | 0 | |
| 89.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 2 | | matches | | 0 | "She led them along a path defined only by the absence of vegetation, the plants retreating as if reluctant to be trod upon by mortal feet." | | 1 | "Nyx, living shadow made semisolid, bent to examine a puddle of quicksilver liquid that pooled in the path's center." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 3 | | fancyTags | | 0 | "she breathed (breathe)" | | 1 | "they whispered (whisper)" | | 2 | "Rory mumbled (mumble)" |
| | dialogueSentences | 7 | | tagDensity | 0.571 | | leniency | 1 | | rawRatio | 0.75 | | effectiveRatio | 0.75 | |