Behind the Build: Build vs. buy, AI agents for prod

Thu, Jun 4 · 11:00 AM PDT · 45 min

Every team building AI agents for production hits the same question: build or buy?

Build something internal (Claude plus skills plus runbooks), buy a platform, or compose pieces from both. Each option has a real cost with real long-term impact.

Dave Lawson and Edward Li walk through what they've seen across companies who've gone through the evaluation: where internal builds genuinely make sense, where teams underestimate the maintenance work (evals, governance, knowledge drift), and where composition starts to look better than either pure path.

If you're scoping or already running agents in prod and trying to figure out where to draw the line between buy, build, and compose, this session is for you.

A 2-minute look at this session

Here's a quick peek into what you can expect

Promo video

Coming soon

Featuring

Dave Lawson

Founding Solutions Engineer, Resolve AI

Founding Solutions Engineer at Resolve AI with a background spanning cloud infrastructure, enterprise architecture, and developer platforms. Previously held leadership and solutions roles at Docker, MongoDB, Dell, and Starburst, helping large organizations adopt modern cloud and data technologies at scale.

Edward Li

Member of Technical Staff, Resolve AI

Member of Technical Staff at Resolve AI focused on LLMs and AI systems. Previously a Staff Software Engineer at Google DeepMind working on Gemini Canvas, with a background spanning large-scale software engineering, machine learning, and research.