When AI models start asking each other for help without being told to, something magical happens.

An old friend with many years of software development experience yesterday reminded me of the old saying: "if you can explain a problem, it is half solved". Chatting about it we agreed that even with the current generation of AI tools to support software development, we are getting closer and closer to "if you can explain it, it is solved!".

I just built yet another MCP experiment. First I created a Python script to process .md files: chunk them, create embeddings, store everything in a PostgreSQL database. Then I built an MCP server which can search the database both using semantic search (embeddings) and more traditional full text search as a fallback mechanism. I find absolutely fascinating watching Claude interacting with this tool, because…

Building a custom MCP server to connect Claude directly to WordPress, enabling automated blog post creation with proper formatting and intelligent categorisation.

I’m not confident enough in the tools I built this week to share them around just yet. As long as they run on my Mac, I’m happy, but I can’t really take responsibility for how they’d work for anyone else. Still, while I’m not serving up the dish, I’m definitely happy to share the recipe! If you plug this prompt into Claude or ChatGPT, you’ll get pretty close to what I’ve got running.

I started with a new idea this morning: create an MCP server that allows Claude to talk to the various OpenAI models. Now I can ask Claude to ask any of the openAI models. What I find more fascinating is how Claude is figuring out how to use these new tools. The key is in the description of the tool, the “manifest” that Claude gets when the server is initialised (and is probably injected at the beginning of every chat).

This morning I asked myself if I could make Spotlight on my Mac talk to Claude. Just a small experiment. I ended up building a minimal MCP server that exposes Spotlight’s index—files, apps, recent items—as JSON-RPC tools. With that in place, Claude could search my folders, read files, and understand what a project is about. I tested it on a real directory.

Following up what I posted recently about Scrape wars, I wrote a longer post for my company site. Reposting it here just for reference. We’ve talked before about how everything you write should work as a prompt. Your content should be explicitly structured, easy for AI agents to read, interpret, and reuse. Yet, despite clear advantages, in practice we’re often stuck using workarounds and hacks to access valuable information.

Here’s a snapshot of what AI tools and how am I using them on this 27th of May 2025. Things change fast, I’m writing this for my future self who will be moved while reminiscing these pioneering times. I more or less always have the Claude and ChatGPT apps running. Recently I have also created a Gemini app (using the Safari’s 'add to dock' feature).

Sometimes it happens when I find myself walking in a new neighborhood, or maybe when I watch business parks outside a town while passing on a train: I’m fascinated by all these shops and industrial�...