I use an AI agent to help me communicate. Not to write for me, but to help me be more efficient and as English is my second language it helps me make fewer mistakes, but the output should always sound like Antonio. It reviews my drafts, helps me write outreach, and prepares me before important conversations.

I built this on top of OpenClaw and on Claude Code which I can access via Telegram, runs persistent sessions, and lets you configure agents with custom behavior files. If you prefer to stay in the terminal, the same patterns work with Claude Code and a CLAUDE.md file and creating skills, more on that at the end.

A practical example of human-agent collaboration.

I run several AI agents as part of my daily workflow. Not as a chat assistant you type questions into. As execution partners that do the work while I handle the judgment and prioritization.

Here’s how it works in practice.

The Setup

I have agents with different scopes: one focused on complex execution, code, and infrastructure. Another focused on scheduling, coordination, and lighter repeatable tasks more related to personal productivity. I also have a third Agent only focus on communications, but that deserves dedicated post about it.

Hello World

The domain name is a bit of a hint.

.md is the Markdown file extension. It’s how engineers write notes, documentation, and READMEs. It’s plain text with just enough structure to be useful. That felt right for what I want to build here.

I’m Antonio Silveira. I’m a CTO. I’ve spent 25 years building engineering teams, scaling systems, and trying to help organizations move faster without breaking (too many) things. Most of what I’ve learned lives in my head, in Slack threads, or in internal documents and notes(some are .md files) that get shared once and then forgotten.