The AI Agent Breakthrough That Finally Teaches Machines to Plan Before They Click
Plan-and-Act: separating planning from execution for long-horizon agents
Long-horizon tasks require an agent to hold a goal across 5 to 50+ actions. The agent must track intermediate state and adapt when the environment changes. Examples include buying the highest-rated Bluetooth earphones under $50 on an e-commerce site, adding user authentication to a Flask app, analyzing Q3 sales data and writing a report, researching Rust stream-processing frameworks, automating employee onboarding across email, permissions, Slack, and HR systems, and building a house in Minecraft.