Tag
Every article tagged llms.
Nine structural shifts are reshaping how AI gets built and bought in 2026 — from agents leaving the demo stage to the infrastructure constraint nobody can engineer around.
The Model Context Protocol turns bespoke AI integrations into a standard interface. Here is the architecture, the three primitives, the handshake, the security model, and a working server.
Which AI agents work, which are demos, and how they fail. Coverage of coding agents, computer-use agents, research agents and the frameworks underneath, plus an evaluation checklist.
Gemini and Claude are both frontier systems with genuinely different centers of gravity. Here is how they compare on the dimensions that change a buying decision.
RAG puts the right documents in the model's context at query time. The generation half is mostly solved; the retrieval half is where nearly every production system breaks.
Claude and ChatGPT are close on raw capability and far apart on temperament, ecosystem, and tooling. Here is where each one actually wins, segmented by what you are trying to do.
Prompt engineering is specification writing, not incantation. This guide covers the structure that works, the techniques that are overrated, and how to test prompts like code.
A working guide to ChatGPT — what the product actually is, the model architecture behind it, the difference between the chat app and the API, and the failure modes you need to plan around.
We help companies pick the right AI tools, wire them into existing systems and avoid the ones that quietly do not scale. Tell us what you are trying to build and we will tell you what we would use — no charge for the conversation.
The AI signal without the hype — new models, tools worth your time and what actually shipped. One email, no vendor pitches.