According to Dave (@ItsDave_ADA), the latest AI integration architecture allows any large language model (LLM) provider to be seamlessly plug-and-play due to its generic, schema-driven, and LLM-agnostic approach (source: Twitter, June 3, 2025). For traders, this means increased interoperability and flexibility in deploying AI solutions, which can drive faster adoption of innovative trading bots and analytics across cryptocurrency markets. Enhanced AI integration could lead to improved trading algorithms, higher automation, and more accurate data analysis, potentially increasing trading volumes and liquidity for major cryptocurrencies.