In the world of artificial intelligence, when the technology spits out inaccurate information, instead of calling it what it is, a screw up, the industry invented a softer euphemism—hallucination. Those hallucinations have the potential of causing physical or financial harm, or at the least, a major embarrassment.

But a months-old startup called mixus.ai has added a very analog backstop to catching errors before they do any harm—the human brain. Indeed, its name is a portmanteau of mix and us, meaning blending artificial with human intelligence to help ensure accuracy.

The simple explanation is when a user makes an AI query, in addition to a AI-generated response mixus.ai also recommends people who have expertise, experience or knowledge on the specific topic. The user can then add those recommended people into their chat and converse with them and AI together.

Building on that original model, mixus.ai has now added an even more powerful tool it calls “colleague in the loop” AI agents, which can conduct a vast array of tasks such as generating social media posts, emails or lists, to name a few.

The twist is, the content goes nowhere until trusted human beings in a user’s network act as editors and fact-checkers.

“By bringing colleagues into the loop, you get the full power of AI agents, the efficiency and the time savings, etc, without the any of that downside risk of AI mistakes going undetected,” explained Elliot Katz, who co-founded mixus.ai with Shai Magzimof.