Dave M

I've never seen anyone get excited about governance during an ai agent demo.

When an AI agent is answering questions, booking meetings, or completing a workflow in a test environment, the conversation is usually about capabilities. How fast is it? How accurate is it? Can it handle more tasks?

The tone tends to change once the same agent is connected to customer accounts, internal systems, or business data. Suddenly people want to know who can access what, whether actions can be reviewed later, and how mistakes get handled when the outcome affects a real person instead of a test case.

What's interesting is that the technology often hasn't changed very much. The model is the same. The workflow is similar. The difference is that the consequences are now real.

As a solo dev, I can't afford to ship something and then realize it's unprofitable. But estimating token usage before launch is hard.

Do you just... guess? Build a prototype first? Or is there an actual way to forecast what users will actually cost you?

We know this situation exists, but not many people are openly talking about it.

Being in a highly competitive entrepreneurial environment is challenging on many levels... not only in terms of sales and business growth, but also legal responsibilities, administration, and often handling most things independently, all while managing family and personal stuff.