5 Ways to Use AI Agents in Your Personal Life

Arham: I want you all to share a use case you’ve implemented in your own lives.

Yann: Full disclosure, we spend a lot of time with lawyers reviewing and writing contracts. Now, I just upload the contract I’m sent into Gemini or some other tools and ask, “Hey, can you tell me what the various clauses are and how they affect my business?” It does that, and I review it. Instead of sending it directly to the legal team, I process everything myself, and when I have questions, I send it to them. Again, a huge amount of speed and productivity because it usually takes up to two days for a return; now I spend just 20 minutes, and it’s done.

That’s one. Obviously, the code assistant, J9x, has brought huge productivity and fun. So, those are my two use cases.

Bharat: Well, I have two things I’m working on. Maybe I’ll share one. I like playing pickleball, and the courts at my gym are always taken, usually by retired folks who book them a week before. I, on the other hand, barely have time to remember if I ate lunch! I talked to the gym about opening up spots for last-minute players like me, but they refused. So, I’m writing an agent now that’s going to book courts for me a week before. It’s going to log in and wait to book. I haven’t completed it yet, but if I’m successful, I want to open-source it and give it to everybody else who struggles finding pickleball courts. So, that’s one. I want to hack the system, but don’t tell my gym yet!

And then the second one: my son keeps forgetting he has a test or assignments the next day. He’s obviously too busy. So, the idea is to build an agent that goes through his calendar and notes, figures out what he needs to remember for the next day, and then can tell us parents to nudge him to study for this exam or something. I’m working on that.

Arham: Those are amazing!

Ambika: Super powerful. If you find those, once they’re built, I’d be happy to be a power tester for both – one for my nephew and one for myself. That’s fantastic. 

Bharat: Oh, good. Okay! By the way, how am I building this? I’m asking AI to tell me how to build it. 

Ambika: And I think on the calendar scheduling piece, not to get into solution mode, but calendar scraping, understanding tasks and activities – that’s a basic agentic flow, right? It’s just so logical. It could even do a quick summary of people’s calendars and say, “Hey, your day next week looks super busy. Are you sure you have time for XYZ? And the weather is going to be so-and-so, traffic directions are XYZ?” It comes back with a quick summary. So, what you’re solving for is much, much bigger than that. Super fascinating.

Ambika: Two things that we’re doing: My husband and I are training for the marathon in Austin this Sunday. It’s our first time, so there are a lot of unknowns. Yes, we’ve done 10Ks and 5Ks, but it’s different for a longer duration. The Austin terrain is hilly. We did the New York Marathon before, which was a different, fun experience, but this is all hilly, and the temperature in Austin is going to be minus two on Saturday. So, throw a curveball on a curveball – that’s what this week is all about.

What I’ve been doing is uploading all my health data from my fitness tracking devices onto Gemini. I asked it, “Okay, look at my sleep patterns, look at my training schedules. What can I do better to improve my endurance?” I’m okay for the first hour, and then every minute hurts. So, to build endurance, what does that look like? Whatever could be optimized got optimized.

Then, Gemini came back with a very interesting prompt: “Let me take a look at your refrigerator. Send me a photo of what you’ve been eating.” And it suggested that my protein intake for a vegetarian was not on par with the activity I was doing.

Arham: Wow!

Ambika: Very quickly, I was able to make those edits, and it impacted my performance significantly. That’s just AI Google Lens in action, helping you understand that you’re doing very well, sleeping right, training right, and don’t have a lot of stress, but maybe protein is what’s missing. Simple tweaks like that helped me.

And then the other piece is scheduling and travel. We have family overseas, so finding the right price tickets is always interesting. When you’re doing long-haul flights frequently with aging parents, you want to be mindful of that. So, we built a sort of hack to come up with a travel agent that helps us book the right price tickets. That has significantly helped us for long-haul flights, and it was a simple experience connected to Google Flights. It’s something that’s been saving us a dollar or two. So, we enjoy these two in our personal life.

Bharat: Very interesting!

Yann: I’m glad Google Lens didn’t look at my fridge full of cheese and stuff. Not sure what Gemini would have said… 

Arham: Well, I’m really glad I asked this question, and these are fascinating. If any entrepreneurs are watching right now, that’s like five ideas right out there that you can build on just using AI.