Tom Wilson
Technologist
Tom has been in Charleston since 1995 and has been an early tech leader and developer mentor in the community ever since.
Thomas Wilson is the Lead Technology Advocate at Scout. Tom has always had a curiosity and passion for adopting the latest technology and educating others on the best practices. He recognizes that AI agents represent a major shift in technology and is excited to share his expertise with anyone who wants to learn to collaborate with agents as this fast-paced technology evolves. Connect with Tom on LinkedIn.
Collaborating with Agents - Part 1
Getting Started with AI Agents
This first session begins with a background on generative AI and an introduction to AI agents. From there, participants use a secure sandbox to create their own autonomous agent and practice reverse prompting: guiding the agent to clarify goals, constraints, and missing information before acting. Participants leave with a working personal agent and a foundational understanding of how to direct it well.
Collaborating with Agents - Part 2
Building Agent Skills
Building on Part 1, this session focuses on giving agents the tools and direction they need to execute objectives consistently and well. Participants learn how to turn successful prompts into reusable skills, how to manage agent memory, and how to build and install custom skills that get reliable, high-quality results. Participants leave with a working set of agent skills and the confidence to put them to use.
Collaborating with Agents - Part 3
Designing Agent Workflows
This final session is about getting agents to work together. Building on the skills and workflows from Parts 1 and 2, participants learn how to design multi-agent systems where a manager agent delegates to worker agents, each responsible for executing a specific step toward a final outcome. It is a highly effective approach for tackling complex, high-level tasks while keeping the human in the loop for final review and approval. Participants leave with the confidence to design and direct multi-agent workflows.