Build Your Own AI Agent and Save Hours

Hosted by Sharon Jerman

Fri, Jan 16, 2026

8:00 PM UTC (30 minutes)

Virtual (Zoom)

Free to join

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What you'll learn

The Simplest Architecture Behind a Real AI Agent

Understand the minimal components that make an AI agent autonomous, without frameworks or unnecessary complexity.

Why Building Your Own Agent Saves Time Long‑Term

Learn how ownership reduces debugging time, avoids tool lock‑in, and lets you iterate faster.

When to Build vs. When to Use Tools

Gain a clear decision framework for knowing when it’s worth building your own agent.

Why this topic matters

AI agents are becoming common, but most people rely on tools they don’t understand or control. This leads to wasted time and fragile workflows when things break. Building your own AI agent gives you leverage: faster debugging, systems you can adapt, and reusable foundations across projects. This lesson provides a clear mental model that helps you move from demos to real, working systems.

You'll learn from

Sharon Jerman

AI Strategist & AI Developer

Sharon Jerman is an AI developer, strategist, and educator focused on building practical, real‑world AI systems. She has built over 20 custom AI applications and collaborated on 30+ production projects spanning autonomous agents, AI‑powered workflows, and applied automation.

She is the former editor of What the LLM?, a print magazine for AI builders and creators, and co‑founder of AI Builders, where she teaches through transparent “build in public” sessions. Her work emphasizes understanding systems end‑to‑end rather than relying on black‑box tools or hype.

Sharon is largely self‑taught in AI by building, breaking, and shipping real systems. The same approach she brings to her teaching. The course is based on a working local autonomous agent project that students can download, run, and extend, with step‑by‑step documentation and reproducible setup.

She teaches to help builders save time, gain confidence, and move from demos to systems they actually understand and control.

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