Lately, I’ve been deep into Text-to-Action, the idea that we’ll eventually speak directly to computers in natural language, skipping traditional interfaces like code or complex setups, and have actions executed instantly. Imagine simply telling a computer what you want, and it just happens—no code, no setup. That’s the direction we’re heading, and it’s going to change everything.

I’ve written two pieces about this. One explains how Text-to-Action could bridge the gap between human ideas and machine execution, turning abstract visions into reality without the complexities of programming. The other focuses on AI agents—systems that can handle complex tasks and get smarter with each interaction. For those who prefer listening, NotebookML has created a podcast version of these blogposts.

Of course, just writing about it can only go so far. Right now, I’m working on a tool that lets me “speak with my data”. It’s part assistant, part coach, and it turns raw data into real-time conversations, helping me make decisions on the fly. It acts like a second brain, processing everything in the background, so I can dedicate my attention to the big picture.

Currently reading:

/things that won't change

/book notes