|
Hi Reader, I was talking with someone who spent two decades leading large engineering teams, hundreds of people at peak. She's figuring out what's next, and she said something I keep hearing: "The thing I got good at was managing people. Delegating, figuring out who does what. But teams keep getting smaller and flatter, and I'm not sure that matters anymore." I told her the opposite is true. What I'm noticing As AI agents start doing real work, drafting, analyzing, handling customer questions, someone has to decide what the agent owns, what the human owns, and how the handoff works when it breaks. That's org design. It always has been. What surprised me: the failure modes of AI agents look almost identical to the failure modes of junior hires. They do exactly what you told them, not what you meant. You find out once the output is wrong, long after the work got handed off. The person who knows how to structure work clearly, set checkpoints, and diagnose where a handoff went sideways? That skill compounds over the next five years. It doesn't fade. Your next move Three ways to put it to work this week:
Life beyond the screen I do a version of this with my kids. When I hand off a chore, the ones that go sideways are always the ones where I assumed they knew what "done" looked like. Clean your room means one thing to me and something very different to a six-year-old. The fix is the same as with an agent: say what done looks like, up front. A question for this week: What's one decision on your team that only lives in someone's head right now, that an agent could take over if someone set it up right? Work with me directly. If you want a thinking partner on your product strategy, AI rollout, or building your fractional practice, here's how I work with people: https://gamma.app/docs/Chill-Labs-Coaching-Information-ifjuyb0hjgw9xtb Come to the Water Cooler 🚰 I host a free monthly gathering for people building fractional and independent practices - honest conversations on positioning, pricing, and pipeline, plus recaps when you can't make it. Join here: https://chillaborate.com/fractional-water-cooler Let's Chillaborate, Dina Founder, Chill Labs PS: New to the Automate Yourself podcast? There are plenty of episodes worth digging into - start anywhere: https://chillaborate.com/podcast 💙 |
Chill Labs is a boutique consultancy helping companies think strategically, solve business problems, and streamline operations utilizing Product Management, Software Engineering principles and AI. Combining a decade of experience running complex, globally distributed software products with expertise in product discovery, user research, and strategy, Chill Labs helps companies build products that users want and do so in a way that supports growth and scale. Dina Levitan, Founder and Principal at Chill Labs, based out of Seattle, WA, brings over 15 years of experience as a product and technical leader ranging from startups to companies like Google.
Hi Reader, A few weeks ago I gave a 90-second lightning talk at a conference in Miami. Experiment Live - a meetup for people who work in experimentation and product. Ten speakers, two minutes each, one slide. Mine was titled "AI grows the tree. You prune it." Here's what I meant. The opportunity solution tree Teresa Torres, who writes and teaches about continuous product discovery, has a framework called the opportunity solution tree. The short version: if you're trying to drive an outcome,...
Hi Reader, There are parts of parenting I would never automate. The bedtime routine. The walk to school. The moment when they climb into your lap for no reason. Those aren't on the list. But school lunch labels? The dentist reminder that could easily be a recurring calendar event? The forms that come around the same time every year? Those I've automated. Without apology. When I went independent, I told myself I wanted to be more present with my kids. What I learned is that presence has less...
Hi Reader, I've been noticing something in client conversations this past month. The people who are most anxious about AI are the ones with the most knowledge. Senior operators, experienced PMs, accomplished consultants. They know their domain deeply, and they're watching AI get better at knowing it too. The people who seem least anxious aren't focused on knowing more. They're focused on how they show up when it's hard. What got me thinking Joe Hudson - an executive coach who coaches leaders...