Best approach for adding AI agents to an existing product?

Reddit r/AI_Agents News

Summary

A discussion seeking advice on the best approaches to integrate AI agents and LLM features into an existing product, focusing on architecture, reliability, and maintenance lessons.

We already have a working product and are looking into adding AI agents and LLM powered features without rebuilding the whole system. The main things we’re considering are agent workflows, LLM integrations, tool calling, and keeping the existing backend and product architecture intact. For teams that have added AI agents to an existing product, what approach worked well for you? Did you build the agent layer internally, work with an outside development team, or use a combination of both? I’d especially like to hear about lessons learned around architecture, reliability, and maintenance.
Original Article

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