Helping ideas find a place to start

I have spent many years working as a Tech Lead and Product Lead, contributing to open source, building products, and maintaining them.

The longer I work on products, the more I see that a good idea is only the beginning. There is still the work of understanding users, choosing what to build first, delivering something useful, and improving it as needs change.

I enjoy both the creative work and the ongoing care. Enthusiasm can get a product started. Keeping it useful takes practical decisions and patience.

AI gives me more room to experiment

As AI develops, I see more room to experiment. Ideas I once set aside because of limited time or resources can now be explored sooner.

I can examine the same problem from different angles: What would the experience feel like for a user? Would it create value for the business? Could there be a simpler way to build it?

One person can take on several parts of a small team: research, sketches, writing, coding, and testing. AI helps me move through those steps faster. I still have to decide which problem I am solving and which results deserve trust.

A powerful tool, but where do you start?

That makes me think more about small businesses. Their problems are often concrete: answering customers takes too much time, information is scattered, repetitive work fills the day, or a new service idea has no clear path to a first test.

They understand their work, but they may never have built a software product. When faced with AI, their first question can be a simple one: “Where should I start?”

Some already have access to a powerful AI tool but do not know how to fit it into everyday work. Others try it a few times, receive an impressive answer, and then wonder what to do next. There is still a gap between a conversation with AI and a solution someone can use.

Start with one small thing worth testing

That is where I want to contribute. I want to use my experience in engineering and product development to help people clarify their needs, choose a small experiment, and build something they can evaluate. It might be an internal tool, a work assistant, or an early product prototype.

For example, a business that receives quotations from several suppliers could explore help with gathering and comparing the information, so the person responsible can review it more easily. A team with many reference documents could try an assistant that finds answers and shows its sources. These are possible experiments, each needing a clear goal and someone responsible for checking the results.

I also want to be candid throughout the process. Some ideas are ready to build. Some need more investigation. Sometimes improving the existing process is enough.

I believe each business needs a first step that fits its resources and its work. For me, the opportunity in AI is to try more things, learn sooner, and make product development experience more accessible to people who previously found it hard to reach.

You do not need a complete specification

If you have an idea, or a task that makes you think “there must be a better way to do this,” tell me about it. You do not need a complete specification. We can start with the problem you face and find a next step worth trying.

Tell me about your idea