I once asked ChatGPT to clear one small thing.
It cleared everything I had built in that department. It took me 6 to 7 hours to get it all back.
It understood the task. It just did far more than I asked.
That memory came back this week. Boardy set up a call for me with Edwin Plange, another solo founder here in Ghana. He is building KasaFlow, an AI commerce engine that runs on WhatsApp. We are on almost the same Python and FastAPI stack, and Boardy's read was that we were fighting the same problem from two different ends.
Edwin said something I keep coming back to. Sometimes the AI understands exactly what the customer means and still gives the wrong output.
That is my ChatGPT story in one sentence.
The models are already good at understanding us. Where I lost 7 hours was the step after that, when the understanding turned into an action nobody had approved.
If I work in your company, I might be capable of a lot of things. That does not give me permission to do all of them. I need to be governed. An AI agent should work the same way.
That is what I have spent the last 9 months building Sentinel SCA for. Right before an agent does something consequential, Sentinel checks the action against the capability and policy that agent was actually given.
If it fits, it goes through.
If there is a real conflict, it goes to a person for review.
If the agent is doing something it was never assigned, it is denied.
We are still early and in active validation. But I know exactly what it feels like to spend an evening rebuilding work because an assistant was trying to help.
It understood exactly what I asked. It still cleared everything.
What is the biggest thing an AI tool has overdone for you on a simple request?
Sentinel SCA. Authority before action.
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