Posts

Everyone is telling us that the Fourth Industrial Revolution is here. The promise is seductive: AI copilots that know everything, code everything, and debug everything. For a Salesforce Architect like me—someone who spends their days architecting secure, scalable systems at the enterprise level—the pitch is that I can finally offload the boilerplate. But the reality? It’s… jagged. Whether I’m using ChatGPT, Gemini, MS Copilot, or early versions of Agentforce, I keep hitting a wall. It’s not just that the AI doesn’t know things; it’s that it hallucinates them with total confidence. It invents features that don’t exist and writes code that looks perfect but crashes instantly. ...

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. ...

In the world of enterprise security, Supply Chain Attacks as considered as massive, complex nightmares—think SolarWinds or the XZ Utils backdoor. We assumed they were the domain of nation-states targeting enterprise build servers. But “Vibe Coding” has democratized the Supply Chain attack. Today, the default workflow for senior engineering is asking an LLM for a quick fix. The AI hallucinates a solution, and we copy-paste the import statement without a second thought. But LLMs are dream machines, not compilers. They don’t check the npm registry; they predict the next token. ...