The Secret to Keeping Your AI Accurate

The one thing I will call out is I came up with this concept like earlier this week called calibration loops, because the challenge is, to Neil, your point is how much can you really trust these things if you don't train them, right? But there's a problem with that too. If you don't train it, it's going to suck. If you train it, you might think you're done, but you actually need to continue to train it because what if you change your product or what if your ICP changes or whatever? So I think whenever you build an agent, you need to have like a calibration meter at the top to show how much trust you've built. But that decays over time too, because the product or your business changes. If you want more insights like this on AI marketing and business, follow to learn more.