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A reflective article on the challenges of building AI agents for small businesses, comparing the process to pouring water into a leaky cup, where errors and bugs cause inefficiencies, but systematic debugging and rule-writing gradually improve the system.
A practical guide on building AI agent applications with reduced infrastructure complexity, focusing on tools that handle the underlying plumbing.