We created the agent task force, which includes members from various teams like IDE, DevX, and AI, to collaborate on building AI agents.

To successfully implement AI agents, start small with a well-known task, design for limited downside, leverage natural language for building, iterate with compassion, and gradually increase the agent's scope and responsibility.

I'm super excited about AI; that's the reason why I started developing software.

I led by example and built the first version of our AI product myself, which helped persuade the team and stakeholders about its potential.

OpenAI's early goal was to build AGI through extensive research and paper writing, a theory that was later recognized as flawed.

I was drawn to OpenAI because of its mission to develop artificial general intelligence (AGI), which I believe is the most important technology we can build.

There's a lot of excitement around AI agents, but many people are unsure of their practical applications, often trying to apply them to problems that simpler solutions could address.

The age of AI agents is here, and Anthropic's Claude Computer Use is one of the first to enable AI to browse the web, click buttons, and type text independently.

If you want to start using the AI agent, sign up for our core plan on Replit, and begin by writing a few simple sentences about your idea.