What's Possible. What's Valuable.

What's Possible. What's Valuable.

We’re still walking the road between what’s possible and what’s valuable.

The first stop is letting GenAI show us what can be done. We build proof of concepts. We experiment. We create just because we can. Sometimes we find something interesting, but most of the time there’s very little value. That's okay, these early trials are how we learn and walk through the road.

Then we start asking the right (or at least more reasonable) questions. Does this actually solve a problem? Is it a real use case? Does it reduce inefficiency? Is this the right solution, or am I overkilling it?

As we continue down the road, we move into something less visible, more woven into real workflows. Something that requires fewer prompts and begins to understand our language without us having to speak its language (fancily called prompt engineering).

Finally, as we approach the other end of the road, we’ll see an AI that listens, adapts, and disappears into the flow of work, solving real problems and reducing inefficiencies without us even noticing it’s there.

Most of us in tech are on this journey now. This walk from possible to meaningful.