I love this definition of an AI agent today – “Brilliant, but lacks expertise.” This is 100% how I see AI agents today. I found this video interesting, if only because it gave a non-hyped version of agents. https://www.youtube.com/watch?v=CEvIs9y1uog You wouldn’t hire a developer to manage your network, and that’s the same way you should approach the development of your agents – one size does not fit all.
Problems are easy to identify, trickier to articulate. “The tire is flat.” Why? I don’t know, but it’s flat, maybe it has something to do with driving over those jagged pieces of wood? The clear articulation of problems is once again becoming the defining trait for software developers; we’re finally moving from knowledge of languages and into “figuring out what is wrong and finding a solution for it.” But it starts with figuring out the…
You’re probably getting assigned tasks that are above your knowledge. Good, that’s the idea. The next question is, what are you going to do about it? Are you going to level up to the task or stay where you are, waiting for the ones that line up with your skills to come along? If you’re waiting for the tasks you’re suited for to come along, you’re missing the narrative; those tasks are going away, they…
There are no lost causes. There is giving up on causes. But there are no lost causes. The Lost Cause does not become the problem anymore, it becomes you, not willing to figure a way out.
AIs promise is to save time for the good things in life. To do that, we need to give it carefully crafted prompts and assignments for it to do its work. In some cases, we pay AI to do this work for us, and we hope AI is up to the task. The thing is, AI isn’t up to the task just yet; it’s getting there, but the fulfillment of the promise is not going…