Building agentic systems with multiple AI models is the wild west of orchestration. While frameworks like LangGraph and CrewAI promise interoperability, the reality involves navigating "instruction gaps," context window mismatches, and tokenization errors. This episode explores the practical engineering challenges of making Claude, Mistral, and Qwen work together, covering validation layers, temperature standardization, and the future of the Model Context Protocol.