9 posts
Cloud RAG sends your documents to someone else's servers as embeddings and as context. Here's the same pipeline built entirely on your own machine instead.
A workflow that double-charges a customer on retry, or loses 40 minutes of progress on a crash, isn't reliable. Here's the toolkit that actually fixes both.
An agent that writes its own Python is only as safe as the box it runs in. Here's the layered sandbox that keeps a bad script from becoming a bad day.
The fastest way to connect an agent to an API is one token with every scope it might ever need. It's also how a triage bot ends up able to delete the repo.
A single agent grading its own work shares its own blind spots. Splitting planning, execution, and review into three passes is what actually catches mistakes.
Three genuinely different engineering problems hide behind one word. An agent that confuses them either forgets things mid-task or loses them on restart.
No framework, no vector database, just chunking, embeddings, and cosine similarity written by hand, so you actually know what's happening when it breaks.
A working MCP server in about 80 lines: two real tools, a resource, a prompt template, and the one design mistake that turns it into a security hole.
Learn how to build a real AI-powered application that runs 100% on your own computer, no internet, no API keys, no subscription. Step-by-step Python and browser examples using Ollama, written for IT admins and non-developers alike.
