This hands-on follow-up session gives participants time to put the agentic workflow introduced in Part 1 into practice. Bring your laptop and a project idea, or come ready to experiment. Work at your own pace while getting help with setup, troubleshooting, and applying the workflow to your project.
Participant requirement: Bring a laptop and have access to a paid ChatGPT, Gemini, or Claude account.
Agentic AI is often associated with “vibe coding,” where AI agents help build software. The same approach can be used for much more than programming.
This session introduces a practical agentic workflow for creating and managing substantial projects, including educational resources, presentations, research, websites, data projects, documentation, and software. See how a planning partner such as ChatGPT can work with implementation agents that operate directly on project files. Git/GitHub, persistent instructions, prompt histories, reusable skills, automation, and human review help keep the work organized, portable, and under your control.
The focus is on developing a workflow that can move between tools and models as they change, rather than mastering a particular AI product.
No programming experience is required.
No single educator can test every browser-based IDE, simulator, or learning app—especially with evolving student privacy and data security expectations under EDSTA.
Join this crowdsourced share-a-thon to explore a kick-off list of secondary CS and Tech tools, pitch your own favorites, and discuss vetting software for classroom security, privacy, and board compliance. Bring your go-to web apps and walk away with a peer-tested tech stack!