Welcome to the AI Builders Newsletter! 🚀

Every week: one practical AI agent tutorial, one automation playbook, and one insight on turning both into digital products. No hype, no tool lists — just things that work.

📰 This Week's Issue

1. MCP in Plain English

MCP (Model Context Protocol) is a USB-C port for AI models. One protocol, one connection, any tool. Before it, every AI integration was custom-built and broke the moment anything changed.

The three pieces: - MCP Client — the AI application (your agent, n8n, Claude Desktop) - MCP Server — a small program exposing tools - Tools — the actual capabilities (search, DB, email)

Your first server is ~10 lines of Python with FastMCP. Full code in the article below.

2. The Competitor Intel Agent

I built an agent that emails me a competitor report every morning at 6am. Three pieces: a scheduler, an agent (LLM + search tool + scrape tool), and an email sender. Total build time: 3 hours. Time saved: 30 minutes daily, forever.

The lesson that matters: the same architecture — scheduler + agent + delivery — is a product. Agencies charge $500-$2,000/month for exactly this.

🛠️ Build Something This Week

Pick ONE: - Automate one repetitive task with an agent (research, email triage, invoice chasing) - Add a "last seen" memory to an agent so it only reports NEW changes - Set up one scheduled agent that emails you a report

📖 The Playbook

I turned all of this into a 22-page field guide: architecture patterns, MCP with working code, 10 agent blueprints, and 7 revenue models. Launch price $11.99 with code LAUNCH11, plus 12 months of free updates and a bonus pack.

AI Agents & Automation Playbook: https://helmadin.gumroad.com/l/ai-agents-playbook

Read the full articles: - MCP in Plain English - The Competitor Intel Agent

See you next week! 🤖