Hi all, I'm Richard, my last company Ombre Lab achieved $12M in sales / yr, raised $13M from the Walton Family / Unilever, built the one of the largest genome DB in the world (150K samples), currently in 2,600 stores nationwide at Rite Aid / CVS, was featured on Forbes, Fortune, VICE, Vogue, and I was previously on Shark Tank. I'm currently a VC at Akkadian.vc ($1B AUM) I've been actively exploring AI-voice offerings and building solutions specifically for the eComm industry. What came out of this exercise is that customers love how far AI-voice has progressed, but that doesn't get them over the hurdle of deploying it to their live customers. In short, many of these early conversations have become week to month long consulting engagements with sparse requirements, manual testing, etc... because the customer doesn't actually "trust" AI to say and do the right things. In light of all this friction for designing, building, and deploying an agent, I wanted to see if other AI-app / developers are also running into the same issue? If so, what are you using or doing to streamline and automate this process?