AI & Tech

Your phone can now run real AI models locally instead of sending everything to a server. Here's when that actually matters, and when cloud AI is still the better fit.

Oct 3 · 4 min read

Before MCP, every AI tool needed a custom connector for every external system it talked to. Here's the integration problem MCP actually solves, in plain terms.

Oct 2 · 4 min read

Most people never open a system card before adopting an AI model for real work. Here's what's actually in one, and the four sections worth reading closely.

Oct 2 · 4 min read

AI hallucinations aren't a bug that gets fixed one day, they're a side effect of how these models are trained. Here's why, and practical ways to catch them.

Oct 2 · 4 min read

RAG is the reason an AI assistant can answer questions about your company's own documents instead of just what it learned during training. Here's how it actually works.

Oct 1 · 5 min read

A bigger context window isn't automatically better. Here's what a context window actually is, why models lose track of information inside it, and how to work around that.

Oct 1 · 4 min read

An AI agent isn't a single clever model, it's a loop: the model decides what to do, a tool does it, and the result feeds back in. Here's that loop explained plainly.

Oct 1 · 4 min read