AI conversations can feel like alphabet soup—but building a custom AI agent doesn’t have to. In this episode, we break down custom AI agent architecture end-to-end so you can make the right build decisions with confidence.

What you’ll learn

• The key layers of a custom AI agent: UI/interaction → hosting/orchestration → tools & memory → LLMs → monitoring
• The six core tech-stack decisions most teams must make to ship a custom agent
• A concrete example architecture: an agent that triages Zendesk tickets and takes actions in Salesforce

Who it’s for
Decision makers and technical teams evaluating whether to build vs. buy agentic AI.

Guest + credibility
Tim Harting and Gavin Franklin share a practical, implementation-focused breakdown based on how modern teams assemble real agent stacks in the enterprise.

CTA
Explore the resources and companion artifact in the show notes—and share this episode with a leader or team wrestling with AI implementation. (Follow the show for more Agentic AI architecture deep dives.)

Recommended Links

Gavin Franklin on LinkedIn
Tim Harting on LinkedIn
Episode Artifact

Cirrius Solutions
Cirrius Blog

Apple Podcasts
Spotify
Youtube
Greg Banks on LinkedIn
Jason Fowler Music

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