Hey everyone, Sharing this before today's session because I had shared it with my mastermind but I thought it might be useful for the others to see what's possible after going through Darby's material once already. I want to be clear - I am not a developer but I am an operator that has been hiring, training, managing and putting teams that execute for many years. I went through the first class, sat with the folder structure Darby walked us through, his Chief of Staff and then added a few more pieces that I've learned and spent Saturday this weekend building this out. Wanted to show you where I landed so you can see what's on the other side of the work and sometimes seeing an example of a real work flow can help you see how you can put your own pieces together. Two things I want to set up before I get into the team, because they're the real lessons that I think are mission critical: Context and clarity are everything. This works because I gave each agent a clear role, a clear set of inputs, a clear definition of what good looks like, and clear hand-offs to other agents. Vague prompts produce vague work. Same as humans. If you can't write a clean "Job To Be Done" description for a person, you can't write one for an AI. I'm starting with my first team on low-risk work. On purpose. Same way I'd onboard a new human hire. Start them on work where the cost of getting it wrong is small. Watch how they perform. Build my own skill at managing them. Build trust. Then expand the scope. As I get better at managing the team and they get better at delivering, I add responsibility, just like a real team member. The mistake most founders make is handing AI a high-stakes task on day one and then deciding "AI doesn't work" when it underperforms. You wouldn't do that to a new hire. Here's what I built. A 7-agent AI team that reports to me each morning. I named them after Harry Potter characters because I'm bad with names and faces, and I started with ONE Mrs. Weasley as my Head of HR, and then she actually started naming the rest based on giving each one a personality that matched their role. It's been fun.