Week 0: After 20 Years in Enterprise Software, I Started Building My Own AI Assistant

Build in Public — Week 0 (April 13–April 19)

For more than twenty years, I worked around enterprise management software. That world shaped the way I think about products. In enterprise systems, everything has a process. There are roles, permissions, forms, approvals, reports, integrations, test cases, deployment plans, training materials, and support procedures. A single button on the screen may represent a long business process behind it.

That experience taught me to respect structure. It also taught me something else: powerful software is often very hard to use. Many enterprise systems are built around the organization. They are designed for departments, workflows, compliance, and management visibility. That is necessary in a company. But when I started thinking about building my own product, I wanted to move in the opposite direction. I wanted to build something for one person. One person, one phone, one small daily problem.

The problem was not dramatic

The starting point for Lumi was not a grand AI vision. It was much smaller. Sometimes I remember something important at a random moment:

• call someone later
• prepare something before going out
• take medicine at a certain time
• check something tomorrow morning
• remember an appointment next week.

At that moment, the task is clear. But if I do not capture it immediately, it may disappear. This problem became even more real when I thought about my parents and older people around me. Forgetting small but important things can create real trouble: medicine, keys, appointments, health routines, or simple daily arrangements.

But it is not only an elderly problem. Busy people forget things too. Work tasks, family matters, bills, health routines, small promises, and appointments all mix together. The problem is ordinary, but it happens every day. That ordinary nature is exactly why I became interested in it.

Existing tools felt either too simple or too heavy

The first solution everyone knows is the phone alarm. Alarms are reliable for fixed times. They are good for waking up at 7 AM. But they are not really designed for task management. If I want to say:

Remind me every other Sunday.

or:

Pause this reminder until next Monday.

or:

Remind me to take medicine twice a day until the end of August.

the normal alarm app starts to feel awkward. Then there are task management apps. Many of them are excellent. They support projects, lists, tags, priorities, filters, collaboration, templates, and calendars. But sometimes I do not want a project management system. I just want to say:

Remind me to call John tomorrow morning.

I do not want to open a form, choose a list, pick a priority, configure several fields, and then save. This was the gap that interested me. The problem was not that existing tools were bad. The problem was that many tools still expected me to adapt to their structure. What I really want is to simply say what I need, and have my phone just do it — like my own personal assistant.

AI changed the entry point

Modern AI made me think about this differently. The most important thing AI brings to this kind of product is not that it can chat. It is that it can understand flexible human language. Traditional software usually starts with buttons and forms. AI-powered software can start with intent. The user says what they want. The system understands the request, extracts the important information, and turns it into an action. For reminders, this felt like a natural fit. The product idea became simple:

What if setting a reminder felt more like talking to an assistant than filling out a form?

That became Lumi.

My enterprise background helped — and sometimes got in the way

Because of my background, I did not want to jump directly into coding. I naturally started with questions:

• Is the problem real?
• Who has this problem?
• Are existing tools enough?
• What is the smallest useful version?
• What are the main risks?
• What must be reliable before launch?

This kind of thinking came from enterprise software. In that world, a feature is not finished just because the screen works. You need to think about data, status, exceptions, permissions, testing, and support. That helped a lot when building Lumi. For example, a reminder app is not only a chat screen. It needs to handle task creation, editing, deletion, pause, resume, notification permissions, background behavior, and testing across devices.

At the same time, my enterprise background also created a risk: over-design. When you come from large systems, it is tempting to design everything:

• long-term memory
• multi-role management
• cloud sync
• family accounts
• analytics
• advanced automation
• multi-platform support
• complex settings.

Those ideas may be useful one day. But they are not the first product. For a solo developer, scope control is survival.

The first version had to be small

I decided to start with one executable capability: reminders. Not because reminders are the biggest possible feature, but because they form a complete loop:

1. the user says something
2. Lumi understands it
3. a reminder is created
4. the reminder fires at the right time
5. the user can manage it later.

That loop is small enough to build, but meaningful enough to test. It also leaves room for a larger vision. If Lumi can reliably understand and manage reminders, other personal assistant capabilities can be added later. But without one reliable loop, a larger AI assistant would only be a demo. I did not want Lumi to be a demo. I wanted it to be a product.

Building alone changes the meaning of “product”

In an enterprise environment, a product is supported by a team: product managers, developers, testers, designers, project managers, operations, support, and sales. As a solo developer, all of those roles collapse into one person. That changes everything. You cannot build every feature you imagine. You cannot test every device perfectly. You cannot write every article, make every video, answer every support message, and still keep adding features at the same speed.

So the product has to be designed around focus. For Lumi, that focus became:

• natural language reminders
• local-first data
• no sign-up required
• user control
• reliable reminder behavior
• simple enough for daily use.

That is not a huge product statement. But it is a real one.

What I learned in week 0

The first week was less about writing code and more about choosing a direction. I learned that becoming a solo developer does not mean abandoning product discipline. It means using product discipline more carefully. When there is no team, no investor, and no large organization behind you, clarity matters even more. For me, Lumi started as a reminder app. But at a deeper level, it became an experiment: Can a small AI product feel useful without becoming complicated?

Can software understand the user’s language instead of forcing the user to learn the software’s structure? Can a person with enterprise software experience build something small, personal, and real? That was the beginning. Not a perfect plan. Not a complete platform. Just a first step toward building a personal assistant that starts with one simple idea:

Tell it what you need to remember.