Season 2 · Episode 1858
Multi-Model Agents: The Instruction & Context Gap
Mixing AI models creates chaos. Learn the practical fixes for context windows, tokenization, and output formats.
My Weird Prompts · Daniel Rosehill
April 1, 202624m 22s
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Show Notes
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.