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Design, Build, Orchestrate Your First AI Agent Department

Hosted by Sara Davison and Tyler Fisk

Fri, Jan 16, 2026

3:00 PM UTC (1 hour 15 minutes)

Virtual (Zoom)

Free to join

297 students

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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

What an AI Agent Department actually is

Understand the difference between isolated AI tasks and an orchestrated system of agents working together on workflows

How to design your agent org blueprint

Learn the core components of an agentic department: orchestrator agents, domain expert agents, utility & QA agents

How to build your first multi-agent architecture

Step-by-step guidance to define your agent roster, agent handoffs + an orchestator agent that delegates

Learn to evaluate & improve your agent workflows

Learn practical evaluation frameworks so your system becomes smarter over time

Why this topic matters

Businesses are rapidly shifting from assistant-level automation to agentic systems that can coordinate, reason, and execute complex workflows. The gap between organizations that will succeed in 2026 down to the ability to design, build, and orchestrate systems of AI agents that deliver real outcomes. Learn practical playbooks  for architecting your first Agentic Department w/o knowing how to code.

You'll learn from

Sara Davison

Cofounder AI Build Lab, 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 1,300+ agentic practitioners. My mission: make AI accessible, useful, and powerful for people who want to lead with it in this next era.

Tyler Fisk

Cofounder AI Build Lab, 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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