

AI Education | From Workflow to AI Agent: A Live Build Session with MuleRun
What if the workflows you repeat every day could run themselves?
Join us for a live, hands-on session with Jacob Si from MuleRun, where we will explore how AI agents can automate complex workflows and transform the way professionals work.
In this interactive workshop, participants will go beyond theory and build a working AI agent in real time using MuleRun’s platform. Together we will walk through how everyday tasks can be turned into autonomous systems that execute multi-step workflows, analyze information, and scale productivity.
What You’ll Learn
The difference between traditional AI workflows and autonomous AI agents
How AI agents can automate complex multi-step processes
Real world use cases including document automation, lead generation, and research workflows
How to design and build your own AI agent using MuleRun
How agents can be saved, shared, and reused as workflow templates
Why This Topic Matters
AI is rapidly evolving from tools that respond to prompts into systems that act autonomously on our behalf.
Agentic workflows allow individuals and teams to automate complex tasks that previously required hours of manual work. From research and outreach to document generation and data analysis, AI agents are enabling a new class of “superindividuals” who can design their own productivity systems.
Understanding how to design and deploy these agents is becoming an essential skill for professionals across industries.
Who This Is For
This session is designed for professionals who want to apply AI to real work, not just experiment with tools.
This includes:
Operators, founders, and builders exploring AI productivity tools
Knowledge workers looking to automate repetitive workflows
AI enthusiasts curious about agentic systems
Professionals interested in building custom AI tools without deep coding experience
Speaker:
Jacob Si - Growth Team at MuleRun, where he works on helping users discover and build AI agents that automate complex workflows.
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