We hear a lot about AGI, but for most of us, it isn't what matters.

We hear a lot about AGI, but for most of us, it isn't what matters.

I don't believe we are on the verge of reaching AGI, whatever that definition may be, but failing to reach that goal doesn't reduce the impact AI has on society. Even if we stopped launching new LLMs today, the world will be changed forever. What is currently holding most businesses back isn't a lack of AI capability; it's finding the right use cases and achieving consistency.

The best place to implement AI is within existing software and "human-in-the-loop" tasks. In some cases, AI can fully automate these tasks; in others, it serves to significantly speed up the process.

The "perfect" opportunity exists where a human currently acts as a bridge between two systems. Automating this human-in-the-middle connection will drastically disrupt the market. For this to work, the AI doesn't need to be perfect; it simply needs to match the consistency and performance of a human employee at scale.

We don't need "smarter" models to achieve this. We need structured processes and a structured way of thinking. This is the current challenge: human-in-the-loop tasks are often poorly documented, and every person performs them differently.

If you want my advice: Record, document, and structure the best practices for every human-in-the-loop task in your platform as thoroughly as possible. That data will be pure gold for future automation.