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Learn to build AI agents from scratch using only Python and an LLM API in this comprehensive 50-minute conference talk. Start with basic API calls and progressively add essential capabilities including prompt engineering for consistent outputs, memory and context management, tool use and function calling, error handling and retry mechanisms, and basic reasoning loops. Discover common pitfalls such as context window limitations, hallucination in tool use, infinite loops, and error cascades while exploring practical solutions. Examine each implementation choice through working code examples that demonstrate real-world applications. Gain deep understanding of AI agent core components and acquire the practical knowledge needed to build custom agents for production tasks without depending on external frameworks or abstractions.
