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That Vince Guy

A lifetime in software. Exploring what comes next.

In an era of AI,
what comes
next?

I’ve spent a lifetime building software and learning new tools. Now I’m exploring what AI makes possible—and what might be just beginning.

Start with the story
Vince in his studio
Vince · Still curious. Still building.

Looking for the next curve

What is still early,
awkward and full of possibility?

I’m interested in the bottom of the next S curve: the stage where a new approach is taking shape, progress is uneven and its uses are still being discovered. AI is the starting point for that question. What changes when software can work toward an outcome, adapt to a situation or help us explore an unfamiliar idea? I want to find out by building, trying and paying attention.

Questions for the next chapter

The whole journal ↗
01 / The starting point

Keep the workshop open.

A lifetime in software gives me a place to start, and plenty of assumptions to revisit. I want to use that experience to explore what AI makes possible, while staying open to ideas that don’t look like the software I’ve built before.

Read the story ↗
02 / The next curve

Look for what is just beginning.

The next advance may first appear as something awkward, limited or difficult to explain. Which limitations are temporary? What becomes useful when they ease? I’m looking for questions worth testing, with room to change my mind.

Read the note ↗
03 / The experiment

Build to find out.

Could software take on a whole task? Could an interface change around the person using it? Could one person explore a problem that once needed a team? These are possibilities to investigate. A small experiment can reveal where the promise holds up and where more work is needed.

Read the note ↗

A working approach

Small enough to try.
Useful enough to matter.

  1. Notice a changing possibility.

    A task, assumption or limitation that might be ready for a different approach.

  2. Try something you can inspect.

    Choose a small question. Build enough to see what happens.

  3. Learn from what happens.

    Record what worked, what failed and what would make the next attempt worthwhile.

From the workbench

Early work from the exploration

These apps came out of my early AI automation workflows where my question was can AI build useful apps for the app store?. They were built, tested and distributed from inception to the Apple App Store almost entirely by AI agents. They’re useful things in their own right, and a starting point for wider questions about how software is built and what it could become.

My Big 3 app screenshot
For a day with a little focusComing soon

My Big 3

Three goals for today. Kept in view on iPhone, Apple Watch, and widgets.

A day can fill up before the important things get a look in. This gives three goals a place in plain sight, then makes room for a fresh start tomorrow.

Meet My Big 3

A conversation between builders

What do you think
is just beginning?

What are you noticing that feels early, uncertain and worth exploring? If you’re trying something—or reconsidering what software could be—I’d like to compare notes.

Write to Vince ↗A little about me ↗