Your organization is probably using AI. You've seen ChatGPT, maybe you've heard engineers talking about Claude, Copilot, or other agents in their command line. It's a confusing landscape of LLMs, IDEs, and chatbots. The real question isn't if you should use AI, but when to use what.
This session cuts through the noise. We'll introduce a simple framework: the Five Levels of AI Autonomy. Think of it as a toolbox for your organization. You'll learn why a conversational AI (Level 2) is perfect for exploring a vague spec, but the wrong choice for building an automated test suite, a repeatable, well-scoped task that a Task Agent (Level 3) could handle autonomously. We'll walk through five common, real-world problems and map each one to the correct level of AI. As AI handles more execution, the bottleneck shifts to the quality of your intent and your role becomes the constraint that matters most..
You'll leave with a clear mental model for choosing the right tool for the right job, every time.
Presented By
Jess Wolfe
Customer Success Manager, Swarmia
Jess partners with engineering teams to boost developer productivity and align engineering with business outcomes, using AI and data to remove bottlenecks, improve collaboration, and drive continuous improvement.
