What Tinkering in Public Teaches You About Building Smarter with AI
In this Office Hours Insight session, Leigh-Anne Nugent and Micah share a real, unfiltered look at what modern building actually looks like: testing AI-powered apps, migrating tools, fixing stubborn bugs, and learning when to keep moving instead of over-polishing. It’s a smart reminder that innovation is not about getting everything perfect on day one, it’s about building, learning, and adjusting fast.
LESSONS YOU CAN TAKE FROM THIS:
1. Sometimes the fastest path is to rebuild, not force a bad transfer
One of the biggest lessons in this conversation is that moving an app from one environment to another is not always clean. Trying to drag old code into a new setup can create more friction than value. In some cases, using screenshots, rebuilding intentionally, and letting newer AI tools recreate the experience can be the smarter move.
2. Better tools give you better options
A big theme here is flexibility. Closed platforms can help you move quickly, but they also limit the tools and models you can use. Shifting into a more open development environment gives builders more control, more model choices, and a better shot at resolving complex issues when one AI model gets stuck.
3. Progress often comes down to one bug at a time
This session shows the reality of building in progress: one broken result page, one permissions issue, one mobile layout problem can slow everything down. But that does not mean the project is failing. It means the project is real. Small wins, like fixing response visibility or getting a publish-ready version live, are what create momentum.
4. Launch before everything is perfect
There is a powerful mindset shift in this conversation: the first goal is not a flawless platform. The first goal is usage. Get people into the app. Get them taking the assessment. Get feedback from real interactions. That is how products improve in ways that matter.
KEY TAKEAWAYS:
Rebuilding with intention can be smarter than forcing old code into a new tool.
Open development environments create more flexibility for troubleshooting and growth.
AI can accelerate app building, but human judgment still matters at every step.
Bugs are part of the process, not proof the idea is broken.
Real progress starts when people begin using what you built.
