When everyone has access to the same AI models, the same AI-enabled tools, and the same vendor ecosystem, organizational ...

There’s a quiet but profound transformation underway in how businesses interact with backend systems. It’s not a flashy app or piece of consumer technology - it’s happening at the infrastructure level ...

Companies are realizing that higher AI productivity does not come from using bigger models, but rather from using AIs that understand the context they operate in. Context helps AI interpret ...

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 ...

Artificial intelligence entered the crypto ecosystem primarily as a reactive tool rather than a reasoning agent—responding to queries instead of maintaining situational awareness. Early forms of ...

As large language models (LLMs) become increasingly sophisticated, a new discipline is emerging that goes far beyond traditional prompt engineering: context engineering. This evolving practice ...

Have you ever wondered why even the most advanced language models sometimes produce irrelevant or confusing responses? The answer often lies in how their context windows—the temporary memory they use ...

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.

In Christopher Nolan’s film Memento from the early 00s, the protagonist has lost his short-term memory and must try to solve a mystery by leaving himself notes — because each time he sleeps, his ...