| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 9 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 87.97% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 831 | | 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) | |
| 39.83% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 831 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "familiar" | | 1 | "whisper" | | 2 | "pounding" | | 3 | "quivered" | | 4 | "weight" | | 5 | "otherworldly" | | 6 | "fractured" | | 7 | "tangible" | | 8 | "desire" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 62 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 62 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 66 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 829 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 48.79% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 741 | | uniqueNames | 10 | | maxNameDensity | 2.02 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | London | 2 | | Heartstone | 1 | | Rory | 15 | | Nyx | 4 | | Demon | 1 | | Regrouping | 1 | | Laila | 5 | | Straightening | 1 | | Hell | 1 | | Dymasian | 1 |
| | persons | | 0 | "Rory" | | 1 | "Nyx" | | 2 | "Demon" | | 3 | "Laila" | | 4 | "Dymasian" |
| | places | | | globalScore | 0.488 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 79.37% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.206 | | wordCount | 829 | | matches | | 0 | "not mortal anymore, but you're not ghouls like the rest of us" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 66 | | matches | | |
| 50.03% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 21 | | mean | 39.48 | | std | 12.83 | | cv | 0.325 | | sampleLengths | | 0 | 44 | | 1 | 31 | | 2 | 40 | | 3 | 38 | | 4 | 25 | | 5 | 60 | | 6 | 33 | | 7 | 42 | | 8 | 34 | | 9 | 54 | | 10 | 37 | | 11 | 46 | | 12 | 44 | | 13 | 56 | | 14 | 26 | | 15 | 51 | | 16 | 33 | | 17 | 47 | | 18 | 59 | | 19 | 9 | | 20 | 20 |
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| 93.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 62 | | matches | | 0 | "get consumed" | | 1 | "were dusted" |
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| 63.01% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 146 | | matches | | 0 | "was disorienting" | | 1 | "was rising" | | 2 | "was like walking" |
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| 56.28% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 66 | | ratio | 0.03 | | matches | | 0 | "Gone was the familiar graffiti-scrawled alley of London; in its place stood an alien landscape that stole her breath." | | 1 | "Unfamiliar scents hung in the air—spices, roasted meats, sweet fruits—and assaulted her senses." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 505 | | adjectiveStacks | 1 | | stackExamples | | 0 | "familiar graffiti-scrawled alley" |
| | adverbCount | 14 | | adverbRatio | 0.027722772277227723 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.011881188118811881 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 66 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 66 | | mean | 12.56 | | std | 7.22 | | cv | 0.575 | | sampleLengths | | 0 | 15 | | 1 | 10 | | 2 | 19 | | 3 | 14 | | 4 | 10 | | 5 | 7 | | 6 | 16 | | 7 | 8 | | 8 | 16 | | 9 | 13 | | 10 | 5 | | 11 | 8 | | 12 | 12 | | 13 | 17 | | 14 | 6 | | 15 | 2 | | 16 | 18 | | 17 | 13 | | 18 | 14 | | 19 | 15 | | 20 | 11 | | 21 | 22 | | 22 | 9 | | 23 | 9 | | 24 | 15 | | 25 | 9 | | 26 | 18 | | 27 | 16 | | 28 | 32 | | 29 | 8 | | 30 | 9 | | 31 | 1 | | 32 | 4 | | 33 | 9 | | 34 | 28 | | 35 | 14 | | 36 | 27 | | 37 | 5 | | 38 | 29 | | 39 | 15 | | 40 | 16 | | 41 | 22 | | 42 | 18 | | 43 | 6 | | 44 | 20 | | 45 | 4 | | 46 | 10 | | 47 | 20 | | 48 | 17 | | 49 | 9 |
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| 87.88% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5454545454545454 | | totalSentences | 66 | | uniqueOpeners | 36 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 57 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 57 | | matches | | 0 | "They spoke in a whisper," | | 1 | "She took a tentative step" | | 2 | "Its skin was waxy and" | | 3 | "She rubbed her hands on" | | 4 | "She shook her head violently," | | 5 | "She couldn't let this bum" | | 6 | "They had a purpose here~" | | 7 | "It was like walking through" | | 8 | "They crested a rise and" | | 9 | "It would be so easy" | | 10 | "She wouldn't let herself fall" | | 11 | "She couldn't think about her" | | 12 | "They had a purpose." |
| | ratio | 0.228 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 39 | | totalSentences | 57 | | matches | | 0 | "The portal opened with a" | | 1 | "Rory peered through cautiously, eyes" | | 2 | "Nyx emerged first, solidifying into" | | 3 | "They spoke in a whisper," | | 4 | "Rory stepped through, heart pounding," | | 5 | "The sensation was disorienting, like" | | 6 | "Rory inhaled deeply, nostrils flaring." | | 7 | "The aroma was rich and" | | 8 | "Hunger stirred within her, gnawing" | | 9 | "Laila murmured, hand coming to" | | 10 | "She took a tentative step" | | 11 | "Groves of trees bursting with" | | 12 | "Rory reached out to pluck" | | 13 | "Its skin was waxy and" | | 14 | "Laila reached out a warning" | | 15 | "Rory froze, looking down at" | | 16 | "Rory breathed, fingers still tingling" | | 17 | "The hunger within her twisted," | | 18 | "She rubbed her hands on" | | 19 | "The flesh of the fruit" |
| | ratio | 0.684 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 57 | | matches | | 0 | "Before them stretched a sprawling" | | 1 | "Before them, the land spread" | | 2 | "If this realm of gluttony" |
| | ratio | 0.053 | |
| 99.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 2 | | matches | | 0 | "Gone was the familiar graffiti-scrawled alley of London; in its place stood an alien landscape that stole her breath." | | 1 | "Rory froze, looking down at the fruit which quivered, then shuddered and fell to the ground, withering and rotting before their eyes." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 3 | | matches | | 0 | "Laila reached out, voice strained" | | 1 | "Rory breathed, fingers still tingling" | | 2 | "Laila breathed, voice hushed" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 3 | | fancyTags | | 0 | "Laila murmured (murmur)" | | 1 | "Rory breathed (breathe)" | | 2 | "Laila breathed (breathe)" |
| | dialogueSentences | 9 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 1 | | effectiveRatio | 0.667 | |