The practical use of AI always wins over the hype..

I’ve experimented with many different AI tools lately, and realized many struggle because they aim to impress rather than just truly help.

What actually works (at least from what I’ve seen):

1.	AI tools that assists and handles the boring parts.
2.	Clear control areas - you can adjust and refine the output yourself and you are the one in control.
3.	It solves a real pain and gives tangible value: time or cost saved, without sacrificing quality.

Me and my co-founder spent a lot of time during this “AI era” thinking about what to build that doesn’t just ride the wave of hype.

We ended up focusing on one of our own frustrations: writing some documentation or step-by-step guides that takes us time.

So we built video2docs.com - a tool that turns a walkthrough video of a web or mobile app into clean, structured documentation with screenshots. It’s great for client handovers, internal tutorials, or technical docs.

We actually tested around 30 different LLM models to find the right price–quality balance before getting the output we wanted. Still early, but it’s been super rewarding to finally find a real use case for AI that saves time and keeps us in control of the final result.

Curious to hear what you think about this AI era, do you see it as a wave of hype, or are there tools you built or found that genuinely make your work easier and more efficient?