Salesforce

Everyone is building chatbots right now. It’s the “Hello World” of the AI era! But here is the dirty secret of Enterprise AI: Latency and Tokens are the new technical debt. If you simply paste a Python demo into a Salesforce Flow, you aren’t building an agent—you’re building a generic “chat” interface that burns cash and hits timeouts. I learned this the hard way. I set out to build Revenue Radar, an agent that analyzes massive 40-page earnings calls. ...

I architect systems for a living. I spend my days designing secure, scalable ecosystems for Fortune 500 companies, ensuring data flows correctly between Salesforce, Mulesoft, and AI agents. Yet, for the longest time, my own digital home was built on “rented land.” I was writing on platforms like Hashnode and Medium. They are fantastic tools, but they are Black Boxes. I found myself wrestling with random timeouts, Cloudflare verification loops, limited free articles that blocked my readers, and rigid styling that felt like wearing a uniform. ...

We’ve been on quite a journey. In Episode 1, we learned that MCP is the new nervous system for AI. In Episode 2, we made peace with MuleSoft (integration’s heavy lifter). In Episode 3, we stood at the fork in the road and chose our protocol—Open Source or Enterprise. Now, we turn the key. We stop looking at architecture diagrams and start looking at behaviour. Because when you actually switch this on, something fundamental shifts. ...