Founder Mode · Was Yoda Right About AI? with JJ Zhuang
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Apply multiple AI agents in parallel so that if one agent makes a mistake, another catches it, reducing reliance on human review
“Authority comes down essentially to what decisions am I choosing as the human in the loop to make? What decisions am I giving to the agent to make? And what decisions can the AI agent never make?”
“Agents can be better at structured extraction than humans… if you have a harness where the agent is not only extracting the information but correcting itself, reviewing its outputs, you kind of get to unbalance that in the favor of perfect accuracy”
“If an agent continues to ask you for some human approval on everything, people are just going to click yes… you need to make sure you are not just letting the human hit yes without reading.”
“When you have a high valuation… you attract lots of competition… agents become detached and make mistakes”
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