Every company needs to be thinking about how to make artificial intelligence (AI) a seamless extension of its team. How often has an employee said, “I wish there were more hours in the day to get all ...

As AI systems expand across teams and use cases, organizations often add metadata, filters and application-level logic to compensate for missing business context. Initially, this approach works. Over ...

What if the key to unlocking the full potential of large language models (LLMs) wasn’t just in the technology itself, but in how you communicate with it? Imagine asking an AI for help drafting a ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article introduces practical methods for ...

Four big lessons, seven practical tips, three useful patterns, and five common antipatterns we learned from building an AI CRM. Context engineering has emerged as one of the most critical skills in ...

While some consider prompting is a manual hack, context Engineering is a scalable discipline. Learn how to build AI systems that manage their own information flow using MCP and context caching.

Ever had that moment when someone uses a word that you have kinda heard before, but you are too deep into the conversation (or too proud) to ask what it means? So you just smile, nod, and try to piece ...