[Ep 026] Top 3 Agentic AI Frameworks (and How to Choose Without Analysis Paralysis)

Agentic AI frameworks are multiplying fast—but most teams only need a clear “when to use what” map to start building. In this episode, we break down the top agentic AI frameworks and how to pick the right one without getting stuck in analysis paralysis.What you’ll learnHow LangChain, Pydantic AI, and Anthropic’s Agent SDK differ in structure, community support, and best-fit use casesSimple rules of thumb: when you want RAG + ecosystem, typed/structured outputs, or autonomous delegationThe decision most teams underestimate: why the framework choice is harder to swap than the modelWho it’s for For product leaders, engineers, and teams building custom agent workflows in production.Guests Tim Harting and Gavin Franklin join host Greg Banks to compare their go-to frameworks from real build experience—what works, what’s painful, and what to choose first.CTA Follow the show for more practical breakdowns and upcoming agent architecture artifacts.For questions or feedback, please contact us at [email protected] LinksLink to referenced artifact:Gavin Franklin on LinkedInTim Harting on LinkedInCirrius SolutionsCirrius BlogApple PodcastsSpotifyYoutubeiHeartRadioGreg Banks on LinkedInJason Fowler Music