The fundamental shift is moving from AI tools—which require a prompt for every single step—to AI agents that can "hop" between tools and orchestrate complex workflows autonomously to reach a goal. This requires a transition from "Prompt Engineering" to "Context Engineering," where you use your deep professional experience and vocabulary to set the constraints and desired outcomes for the machine. Instead of seeing AI as the final product, it must be viewed as a "base line" or a "drunken intern" that provides a starting point requiring high-level human judgment to reach professional standards.

Key Takeaways

• Agents over Tools: Unlike tools that do one task, agents are autonomous systems that utilize memory and orchestrate workflows to achieve overarching goals.
• The Base Line Rule ...