What can you really achieve in 30 minutes of focused AI development? More than you think. Yesterday, I hosted a mini AI build-a-thon at my company. Here's the structure: For 10 minutes, review and align on company goals. Review 2-3 pillars of focus (ex: AI agents, contract efficiency, content distribution). Then, get ready for 30min AI sprints (we ended up doing 35min, but I think we could do 30 next time). For each 30min segment, you will build and test for 25min and recap as a team for 5min. At the beginning of each segment, each person states their goal AND A BACKUP GOAL. Ex: "I will test Lindy AI, and my backup is building a Meeting Maker GPT." (As a joke, we ended up using a structure like "My name is Allie and my middle name is Lindy" or "My name is Liam and my middle name is contract efficiency" as a focus). Reason for backups: ChatGPT was down and was screwing with a ton of our plans + a bunch of these companies require waitlist signups + anything video takes awhile to load + a bunch of the startups have awful ToS so we opted to not test them Then you set a 25min timer. Everyone works in silence. No talking. No interruptions. If you're blocked, solve it yourself or come up with a backup plan. No texts, no other tasks. At the 25min mark, stop what you're doing. Each person shares their task, action, learning, lessons moving forward. Screensharing is a huge part of this. Record the 5min recap sessions. Rinse and repeat. We did three morning sprints and one afternoon sprint. We booked it a week in advance to block out meeting time. We fixed two mega GPTs and one mini GPT (iteration is key, folks!), built one new GPT, tested 4 new AI tools in the pillars we care about, and lined up 3 more tests (waitlist issues). All in all, a fantastic freaking Valentine's Day. Save this and give it a try.