Lightning Lessons

AI Agents Gone Wrong:The Practitioners Guide To Get It Right

Hosted by Sara Davison and Tyler Fisk

Fri, Oct 17, 2025

2:00 PM UTC (1 hour 15 minutes)

Virtual (Zoom)

Free to join

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AI Build Lab Accelerator: Build, Launch & Scale Real World NoCode AI Solutions
Sara Davison and Tyler Fisk
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What you'll learn

Why most AI agent projects fail & what to do instead

We’ll break down the most common mistakes so you don’t waste time, budget, or credibility.

Spot hidden risks before you build

Learn how to identify weak points in your design from missing guardrails to poor handoffs

Follow a clear approach for AI agents that actually work

We’ll walk you through a proven process for designing and building agents without writing a single line of code

Beyond experiments: deploy agents that are useful, scalable

Discover how to turn a quick test into a working system, with the right structure to scale across a business

Why this topic matters

Most AI agent projects fail before they start not because of technology, but because non-technical practitioners don’t have the right playbook. This workshop shows you what goes wrong, how to avoid the traps, and how to design agents that actually work. Practical, no-code skills you can use immediately.

You'll learn from

Sara Davison

Founder, Agentic Ai Practitioner

I help non-technical professionals become Agentic AI Practitioners, through frameworks and hands-on execution, not theory. At AI Build Lab, I’ve taught thousands in live workshops, educated 10,000+ people, and graduated 1,000+ agentic practitioners. My mission: make AI accessible, useful, and powerful for people who want to lead with it in this next era.

Tyler Fisk

Founder, Agentic AI Practitioner

With 20+ years turning startups into scale machines, I’ve moved from hands-on e-commerce growth to becoming a practitioner in agentic AI systems. At AI Build Lab, I teach real-world, no-code workflows that drive revenue and retention helping non-tech operators build AI agents that solve business problems, not just experiments.

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