I had the chance to be at AI Summit Barcelona on 22 and 23 September. And I confess that I saw a lot of keynotes in a short time. All with different ideas and interesting real-life cases. But when it finished, I thought about everything I’d heard and asked myself.. what did I learn? Was … Read more

You have probably heard about the concept of vibecoding. You take a tool like Claude Code, Codex or OpenCode, or something even easier like Lovable, give it your idea, and in minutes it builds an entire app that works. It’s amazing and everybody is impressed the first time they see it. And now that you … Read more

People often ask me which model I use for my personal AI projects. And honestly, the model is important but.. usually the harness is the thing that matters more. But what is a harness? It’s everything around the model that makes things happen. I like to think of an agent as a car that drives … Read more

In the last post we built a skill together, and a question came to me. Why create a multi-agent architecture when I can have one agent and multiple skills? I have been thinking about this, because the whole industry is pushing us toward the multi-agent layer by default. But when is it actually necessary, and … Read more

In the previous post I talked about a skill that helped me with my taxes. Now that we know what a skill is, let’s create a new one together. The first thing was to find a real life problem, and it came in a natural way talking about my second brain with my friend Pau. … Read more

As it happens every year in May, I did my taxes with my accountant. Once I had a proper result, I started thinking about how AI could help me review it. So I looked for a skill to double-check my accountant’s work before sending it to the tax office. I found a great one by … Read more

Every time someone deploys an AI agent, the conversation follows the same pattern. Define the role. Write the instructions. Add examples. Then comes the rules: what the agent can and cannot do. Here’s the problem: those rules are not actually rules. They are suggestions. If your governance lives inside a prompt, you don’t have governance. … Read more

Two weeks ago I wrote about how I built a personal knowledge base to stop losing AI knowledge between sessions. The idea: instead of letting every conversation disappear, you distill what you learn into a structured Obsidian vault. Over time, Claude reads those notes before answering. After publishing I received this message: I realized that … Read more

I have a confession: my Twitter favourites are a disaster. Hundreds of saved articles. Papers I was going to read. Threads I bookmarked at 11pm telling myself “tomorrow”. Tutorials I saved three times because I forgot I already had them. The problem isn’t finding interesting content — there’s too much of it. The problem is … Read more

I’ve been working with AI for months. Agents, RAG, governance, prompt engineering. Conversations with Claude that took hours. The problem: all of that lives in chat history. Every time I open a new session, I start from zero. The model doesn’t know who I am, what I’ve built, or what I’ve already learned. I re-explain … Read more