Forward Deployed Engineer (FDE) is the most in-demand technical role in AI right now. Not because of the title, because of the problem it solves. AI research labs are shipping capabilities faster than enterprises can absorb them. The gap between what is technically possible and what is actually running in production is enormous, and closing […]

Read More →

“Most people are using MCP wrong,” said MCP’s co-creator, David Soria Parra. I agree. Because I made the same mistake. Engineers would do the obvious thing: wrap each REST endpoint as an MCP tool and shove them into a custom registry. The result? Zero value over just calling the APIs directly. Worse than zero, honestly. […]

Read More →

Large Language Models (LLMs) all predict text, but they differ a lot in how they follow instructions, use context, handle tools, and optimize for safety, speed, or cost. If you treat them as interchangeable, you’ll ship brittle prompts. If you treat them as different runtimes with different affordances, you’ll get reliable results. This post explains the major differences across […]

Read More →