AI

You want to run an open-weight LLM on hardware you control: a laptop, workstation, home server, or private remote server. One guide points to Ollama and a model you can pull by name. Another points to llama.cpp, a model file,…

You can use an application every day without knowing how its features work under the surface. REA gives AI assistants a way to investigate that behavior—even when the original source code is unavailable.

An AI assistant may explain code or draft a meeting agenda well. Ask it to inspect a live repository issue or the private files behind that issue, and a gap appears. The same happens with your calendar or an internal…

A customer says their subscription renewal appears twice and asks for money back. Your support application needs a department and a refund-request flag, not an essay. Jev by TypeSafe AI is a decision model that interprets supplied information and returns…

Picture the following lead-routing workflow:

What starts as a simple automation rarely stays simple. A form lead lands in a CRM, triggers Slack, calls an enrichment API, checks for duplicates, then passes through an AI summary and a human approval. At that point, the hard…

AI on a VPS sounds, at first, like a slightly doomed hardware experiment: take a big model, put it on a small server, and hope for the best. That picture is why many readers dismiss the idea too quickly. If…

If you run a public docs site, blog, forum, or small web app, the problem does not always arrive with dramatic downtime. More often, it shows up as a steady stream of browser-like automated traffic. Those requests keep pulling content…

Imagine a workflow receives a sentence like this: “A new client named John bought a gpu server on 01/06/2026.” A person reads that and instantly sees three useful values: the customer name, the product, and the date.