I’ve always felt that traditional anime databases rely too heavily on rigid tag-based searches. If you’re looking for a specific "vibe" or a very niche trope that isn't a primary tag, you usually end up scrolling through pages of irrelevant results.I built AniTroves (https://anitroves.com) to experiment with a more conversational, LLM-driven approach to series discovery.The Tech Behind the Hub:LLM Integration: Instead of a generic API wrapper, I've been working on a custom hub (https://anitroves.com/ai-hub/) that uses specialized models to understand series lore and character archetypes for roleplay and discovery.Anipick Engine: This is the logic layer that maps natural language queries to our database entries.Technical Transparency: I’ve implemented a structured llms.txt (https://anitroves.com/llms.txt) to provide a machine-readable source of truth for other crawlers and AI models.I’m currently the technical administrator and I'm handling the SEO and server scaling (managed on Hosting...