Become AI Native: Masterclass for Peak Performance

Summary

To truly become AI native, organizations must move beyond simply using tools like ChatGPT and instead build a system integrating people, agents, and context. This creates speed, unlocks customer signal, and builds an unstoppable moat. An AI native organization empowers its people to focus on strategy and judgment by having AI handle execution. Individuals become managers of agents, ensuring they have clear goals, skills, tools, and context to operate autonomously. Agents are models that use tools in a loop, with autonomy achieved by providing these four essential elements. An "eval" or evaluation is crucial for understanding agent output and comparing it to desired outcomes. Skill chains are playbooks that allow multiple skills to fire sequentially, enhancing output quality and mitigating AI hallucinations. The "brain" or context layer is vital, making company information readable to agents and giving them "20/20 vision." This context is captured from various sources, curated, stored, and leveraged for execution. The process includes capturing data, curating it, storing it in a "brain," using it for execution, and receiving customer feedback to iterate. This AI native system enables rapid creation of functional prototypes and personalized deliverables, like a proposal generated in minutes or a Spotify feature prototype built in under 10 minutes, with feedback loops to continuously improve products. The key takeaway is to start managing agents and their needs, rather than being intimidated by the technology.