| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.462 | | leniency | 0.923 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.02% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 911 | | 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) | |
| 34.14% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 911 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "tracing" | | 1 | "warmth" | | 2 | "silence" | | 3 | "chill" | | 4 | "scanning" | | 5 | "pulsed" | | 6 | "beacon" | | 7 | "perfect" | | 8 | "echoing" | | 9 | "pulse" | | 10 | "searing" |
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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 | 55 | | matches | (empty) | |
| 38.96% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 4 | | narrationSentences | 55 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 62 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 908 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 850 | | uniqueNames | 15 | | maxNameDensity | 0.94 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Heartstone | 3 | | Pendant | 1 | | Aurora | 8 | | Carter | 1 | | Park | 2 | | Fae | 1 | | Grove | 4 | | London | 2 | | Golden | 1 | | Empress | 1 | | Yu-Fei | 1 | | Cheung | 1 | | Cardiff | 1 | | Richmond | 2 | | Dymas | 1 |
| | persons | | 0 | "Heartstone" | | 1 | "Pendant" | | 2 | "Aurora" | | 3 | "Carter" | | 4 | "Empress" | | 5 | "Yu-Fei" | | 6 | "Cheung" |
| | places | | 0 | "Park" | | 1 | "Fae" | | 2 | "Grove" | | 3 | "London" | | 4 | "Golden" | | 5 | "Cardiff" | | 6 | "Richmond" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 89.87% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.101 | | wordCount | 908 | | matches | | 0 | "not human eyes, but pale, milky globes" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 62 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 27 | | mean | 33.63 | | std | 23.46 | | cv | 0.697 | | sampleLengths | | 0 | 28 | | 1 | 89 | | 2 | 56 | | 3 | 14 | | 4 | 19 | | 5 | 72 | | 6 | 1 | | 7 | 34 | | 8 | 17 | | 9 | 28 | | 10 | 57 | | 11 | 16 | | 12 | 2 | | 13 | 33 | | 14 | 54 | | 15 | 5 | | 16 | 47 | | 17 | 21 | | 18 | 2 | | 19 | 5 | | 20 | 48 | | 21 | 51 | | 22 | 62 | | 23 | 21 | | 24 | 60 | | 25 | 19 | | 26 | 47 |
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| 98.88% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 55 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 134 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 2 | | flaggedSentences | 5 | | totalSentences | 62 | | ratio | 0.081 | | matches | | 0 | "Time worked differently here—she knew that." | | 1 | "But the wildflowers in the Grove didn't have dry twigs; they flourished in eternal, rot-free spring." | | 2 | "It didn't belong to a person; it was too long, stretching upward along the bark of an ancient oak like spilled ink climbing a wall." | | 3 | "Slowly, eyes began to open in the bark of the nearest oak—not human eyes, but pale, milky globes that rolled in their wooden sockets, tracking her movements." | | 4 | "Beneath her shirt, the Heartstone didn't just pulse—it burned, scorching her skin as the portal to Dymas tore itself wider." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 862 | | adjectiveStacks | 2 | | stackExamples | | 0 | "eternal, rot-free spring." | | 1 | "long, bloody-hued shadows" |
| | adverbCount | 24 | | adverbRatio | 0.027842227378190254 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.009280742459396751 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 62 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 62 | | mean | 14.65 | | std | 8.94 | | cv | 0.61 | | sampleLengths | | 0 | 28 | | 1 | 29 | | 2 | 26 | | 3 | 3 | | 4 | 31 | | 5 | 26 | | 6 | 4 | | 7 | 26 | | 8 | 14 | | 9 | 3 | | 10 | 16 | | 11 | 19 | | 12 | 6 | | 13 | 29 | | 14 | 18 | | 15 | 1 | | 16 | 2 | | 17 | 12 | | 18 | 4 | | 19 | 16 | | 20 | 9 | | 21 | 8 | | 22 | 2 | | 23 | 18 | | 24 | 8 | | 25 | 11 | | 26 | 7 | | 27 | 25 | | 28 | 14 | | 29 | 16 | | 30 | 2 | | 31 | 7 | | 32 | 26 | | 33 | 15 | | 34 | 22 | | 35 | 5 | | 36 | 12 | | 37 | 5 | | 38 | 29 | | 39 | 18 | | 40 | 17 | | 41 | 4 | | 42 | 2 | | 43 | 5 | | 44 | 24 | | 45 | 12 | | 46 | 12 | | 47 | 10 | | 48 | 14 | | 49 | 27 |
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| 49.46% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3548387096774194 | | totalSentences | 62 | | uniqueOpeners | 22 | |
| 64.10% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 52 | | matches | | 0 | "Slowly, eyes began to open" |
| | ratio | 0.019 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 52 | | matches | | 0 | "She needed answers about the" | | 1 | "It was too quiet." | | 2 | "She walked deeper into the" | | 3 | "She couldn't afford to waste" | | 4 | "she said, raising her chin" | | 5 | "It pulsed in tandem with" | | 6 | "She took a step backward," | | 7 | "It didn't belong to a" | | 8 | "It drifted against the natural" | | 9 | "It drifted down from the" | | 10 | "she said, pulling the Heartstone" | | 11 | "She hit the ground hard," | | 12 | "She scrambled to her feet," | | 13 | "It wasn't a tear, but" | | 14 | "She gasped, dropping the stone" |
| | ratio | 0.288 | |
| 27.31% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 45 | | totalSentences | 52 | | matches | | 0 | "The silver chain of the" | | 1 | "Richmond Park was supposed to" | | 2 | "Aurora stumbled onto the damp" | | 3 | "A nervous habit." | | 4 | "She needed answers about the" | | 5 | "The wildflowers beneath her boots" | | 6 | "It was too quiet." | | 7 | "The distant hum of the" | | 8 | "Aurora called out, her voice" | | 9 | "The air tasted of crushed" | | 10 | "She walked deeper into the" | | 11 | "Time worked differently here—she knew" | | 12 | "A five-minute conversation in this" | | 13 | "She couldn't afford to waste" | | 14 | "The sound had come from" | | 15 | "A dry twig breaking." | | 16 | "she said, raising her chin" | | 17 | "The crimson gem of her" | | 18 | "It pulsed in tandem with" | | 19 | "She took a step backward," |
| | ratio | 0.865 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 52 | | matches | (empty) | | ratio | 0 | |
| 46.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 5 | | matches | | 0 | "Aurora stumbled onto the damp grass of the clearing, her chest heaving as she gripped her left wrist, her thumb tracing the small crescent-shaped scar there." | | 1 | "She needed answers about the strange, pulsing warmth radiating from the deep crimson stone resting against her collarbone, but the heavy silence of the Grove im…" | | 2 | "The air tasted of crushed copper and sweet honey, a cloying combination that coated her throat." | | 3 | "It drifted down from the canopy, wet and multi-layered, as if three people were speaking the same words a fraction of a second out of sync." | | 4 | "It wasn't a tear, but a folding, a nausea-inducing crease in reality that smelled of wet slate and old graves." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 1 | | matches | | 0 | "Aurora called out, her voice flat and swallowed instantly by the dense canopy" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 4 | | fancyTags | | 0 | "Aurora called out (call out)" | | 1 | "Aurora muttered (mutter)" | | 2 | "the overlapping voices whispered (whisper)" | | 3 | "the voice hissed (hiss)" |
| | dialogueSentences | 13 | | tagDensity | 0.462 | | leniency | 0.923 | | rawRatio | 0.667 | | effectiveRatio | 0.615 | |