As I’ve been working more closely with AI agents, one thing keeps surfacing: it’s not just about risk mitigation — it’s about catching what you didn’t even realize you missed.
You can have the cleanest logic, the sharpest prompts, and the best intentions… and still miss something critical. Not because you weren’t paying attention, but because you were building in a vacuum.
That’s why I’ve come to believe that the most underrated part of agent design isn’t technical. It’s structural.
Checks and balances. Dissent. Perspective.
A team.
I recently came across a research initiative from MIT called AI Blindspot, which explores how teams can prevent and detect hidden flaws in AI systems. One insight stuck with me: “AI blindspots are oversights in a team’s workflow that can generate harmful unintended consequences.” Not bugs. Not bad code. Just things no one thought to question.
They found that these blindspots often go unnoticed when AI is built in isolation — and only surface once an agent hits the real world. Having someone there to say, “Did we consider this?” isn’t just helpful — it might be the only thing standing between a good idea and a bad outcome. https://aiblindspot.media.mit.edu/?utm_source=chatgpt.com
What led me to this realization was the actual process of building agents. Right now, I work in a small team — just the two of us — and we’re on opposite sides of the country. I’ve noticed that there are times I don’t catch issues until I either run the model or ask my partner to take a look. It’s made me realize that truly building effective, reliable agents requires more than one set of eyes. A second perspective isn’t a luxury — it’s a necessity.
Curious how others are navigating this, especially those deploying agents beyond the sandbox.