As a CIO, it’s likely that this year, your IT team is moving quickly from evaluating and deploying discrete third-party AI software packages, to integrating custom AI agents throughout your client-facing and internal business applications for even further automation and productivity. They’re likely working with at least one AI agent builder platform and perhaps several others. Since all AI tools, including AI agent builder platforms, are continually being innovated and updated, often on a daily basis, it’s worth keeping in mind a few things when selecting these tools and settling on one that’ll become your go-to platform. In light of this, here are some finer points to consider that go beyond the basics of functionality and pricing, yet can still be major determinants of success. If we start with the agent building environment itself, the agent vendor is often learning and innovating as they go. They’re often well versed in LLM providers and models, and understand the pros and cons of one model over another. Yet they may have fewer skills on UI and taking a customer-centric view of their builder environment. Their entire studio may change frequently so you may create agents and migrate to newer versions of their studio simultaneously.

Full opinion : With agentic AI moving at breakneck pace, here are some tips to select an AI agent builder platform so you and your team — and your vendor — can simultaneously innovate.