How do always-on AI agents actually work—and what makes them capable of handling tasks even when you’re not actively prompting them?

In a lecture for Stanford’s CS146S course, Lee Robinson, formerly of Vercel and Cursor and now part of SpaceX’s AI team, explains the engineering behind Grok Bot and the emerging architecture of persistent, proactive AI agents.

The 45-minute lecture covers:

→ What changed in models to make always-on agents possible.
→ The architecture behind persistent agents.
→ Harness engineering: the systems that enable models to use tools and take action.
→ Context engineering for long-running tasks.
→ Where agent architectures are headed next.

The central insight: An AI agent is more than a model. Its ability to work autonomously over extended periods depends on the surrounding infrastructure—tool use, memory, context management, and the harness that coordinates its actions.

A useful look at the engineering required to move beyond conversational AI toward agents that can work continuously, respond to events, and manage complex tasks over time.

#ArtificialIntelligence #AIAgents #HarnessEngineering

Learn more about the product, infrastructure, and harness details used to build Grok Bot, a new type of always-on and proactive agent.