Software for One

We're moving toward a world where software is built for one person at a time.

For decades, development teams have been stuck in a loop. Build features that serve the broadest possible audience. Anticipate every edge case. Try to make one tool work for everyone. The result? Over engineered products, bloated feature sets, and users who still can't find exactly what they need.

AI is changing that.

Immediate, Personal Tooling

When AI can generate software on demand, users get what they need right away. No waiting for a feature request to make it through a roadmap. No workarounds or half-solutions. Just the tool, built for their specific problem, in the moment they need it.

This isn't about chatbots answering questions. It's about AI writing scripts, building interfaces, and automating workflows tailored to one person's exact situation.

Adaptive Software

Software that adapts to how you work, not the other way around. AI can learn your preferences, anticipate your next steps, and adjust itself over time. The interface you see might be different from what someone else sees because it's shaped around your behavior.

This level of personalization has always been the goal. AI makes it scalable.

Efficient Workflows Through Job Personalization

When software is built around your job, your workflow becomes more efficient by default. No more navigating features you'll never use. No more training on tools that don't fit how you think. Just what you need, where you need it.

For teams, this means people spend less time learning systems and more time doing the work.

Less Pressure on Development Teams

Here's what gets overlooked: AI building personalized software on demand means development teams don't have to build every possible feature.

They don't have to guess what users might need six months from now. They don't have to maintain features that only 2% of users touch. They can focus on the core platform and let AI handle the edge cases.

This saves development time. It saves resources. It reduces technical debt.

What This Opens Up

I'm not saying traditional software goes away. There will always be a place for well-built, shared tools. But the balance is shifting.

When software can be built for one person, on demand, we stop trying to make one product fit everyone. We start building platforms that enable personalization instead of predicting it.

That's a different kind of problem to solve. And it's one that frees up teams to focus on what actually matters.

This is still early. But the direction is clear. Software is becoming more personal, and that changes how we think about building it.