For years, when we needed software, we searched for an app. A task manager. A fitness tracker. A budgeting tool. A CRM. A content planner.
Then we created another account, paid another subscription, and adjusted the way we work to fit the software. The funny thing is, most of us probably use only a small part of what these apps can do.
AI is starting to change that.
What is personal software?
We are moving into a time where more people can create small personal applications built around their own needs. I am not talking about the next Uber or Netflix. I mean simple tools that solve one specific problem for you:
- Your own productivity dashboard
- Your own workout tracker
- Your own business follow-up system
- Your own content planner
- Your own learning tool
This is software that does not need millions of users or hundreds of features. It is designed around one person's workflow.
Why this is possible now
Until recently, custom software usually meant hiring a developer. For most people, that was too expensive and too complicated. Now you can describe what you want, ask AI to help design it, build the logic, test it and improve it.
That changes our relationship with software. Instead of asking "Which app should I subscribe to?", we may start asking "Could I just build a simple version of this for myself?"
How to build your first one
You do not need to know how to code. You need to be clear about the problem. Here is a simple way to begin:
- Pick one small problem. Choose something you do every week and currently manage with a messy spreadsheet or a pile of notes.
- Describe it in plain English. Tell Claude or ChatGPT who it is for, what you want to enter, and what you want to see at the end.
- Ask for the simplest working version. Leave the extras out. You can always add them later.
- Try it with real work. Using it for a few days will show you what is missing faster than planning will.
- Ask for changes one at a time. Describe what you want different, test it and repeat.
Want to try this with something useful? The Episode 1 guide in my free prompt library shows you how to build your own time tracker, with no coding and no paid plan. If your results are not what you expected, the way you brief the AI is usually the first thing to fix, and the Episode 2 guide in the library covers exactly that.
When you should not build it yourself
Of course, this does not mean every app should be replaced. For medical, financial, sensitive or mission-critical use, security, privacy and reliability still matter enormously.
A simple rule: if a mistake only costs you a little time, try building it. If a mistake could hurt a customer, expose private data or affect your money, use a proven product or bring in a professional.
But for small problems, experiments and internal tools, the barrier has dropped dramatically.
The question to ask next time
The next time you find yourself paying for an app where you use only 20% of the features, ask yourself: could AI help me build the 20% I actually need?
If you could build one personal app just for yourself, what would it do?
