The honest answers
Yes, that's a typical starting point. AI quickly builds something that runs, but at some point it tips over: an API connection keeps dropping, errors show up in places that worked before, and you spend more time fixing than moving forward. I look at where it actually breaks, get the acute bugs under control, and stabilize the spots where the AI keeps going in circles. The goal isn't a pretty workaround, but a state you can safely keep building on.
Yes, that's one of the most common starting points. Building a working prototype yourself with AI is real work and a good start. The point where it tips over usually comes later: bugs pile up, no one can say whether the architecture holds or whether security is sound, and every new feature becomes a risk. That's when I take over, without throwing everything away: get the bugs under control, give you an honest read on security and architecture, and rebuild the code so it becomes production-ready and carries the next customers and the growth.
Yes. Sometimes the idea is clear in your head or as a sketch, a first part is built, but the path to a finished product is unclear: what's still missing, what needs to be done cleanly, in what order. I take the state you have, sort it into a plan that holds, and build it to the end. You don't have to start over just because you got stuck in the middle.
Yes, that's the classic case: you describe what your business needs, and I develop the custom software for it from the ground up. We start small, with the part that gives you back the most time, and build out from there. That way you see something real early, instead of waiting months for one big result.
As long as a standard tool carries your workflow, stick with it. Excel, Airtable, Notion or Zapier are often the right, cheap start. Custom software only gets interesting where those tools hit the ceiling: when you need to connect two programs that have no ready-made connector, when you type the same data into several systems by hand, when your process fits no product, or when per-seat pricing runs away as you grow. That's the real difference between off-the-shelf and custom software: one adapts you to the program, the other adapts the program to you.
Honest answer: It depends on the scope, and a serious figure only emerges after a conversation about your concrete case. What has changed: Projects can start much leaner today, because AI-assisted development accelerates the standard parts. In the 60-minute walkthrough you get an honest first assessment for your case, without a sales pitch.
Because the way software is built has changed, not the product itself. AI-assisted development takes over the routine parts that used to make up most of the effort. The experience that makes a project carry its weight remains human: architecture, security, responsibility. But the big budget that used to stand in front of it is no longer needed.
Software lives, and that belongs on the table from day one. When I build, I make sure your system stays maintainable and you don't end up dependent: clean documentation, an understandable architecture, and the question of what your team can maintain itself is part of the project.