AI agents are marketed as personal shopping assistants, but they often misinterpret requests and deliver unsatisfactory results. Developers see that these agents need extensive instructions, struggle with technical glitches, and return incorrect items, highlighting the gap between promise and performance. This underscores the need for more robust instruction handling and error recovery in agent design.
Opening Kapyn…