In our modern world, technology has opened a floodgate of information that is rapidly and readily available at the tips of our fingers. Information and innovation are growing and spreading at an ...

Effective AI results will increasingly depend less on crafting ever-more-detailed prompts and more on giving systems the relevant, current, and well-structured context they need to understand intent.

What if the key to unlocking the full potential of artificial intelligence lies not in the models themselves, but in how we frame the information they process? Imagine trying to summarize a dense, 500 ...

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.

When the Transportation Security Administration (TSA) was first created, it created a sudden need for tens of thousands of screeners. Getting a job as an airport screener was a pretty easy process. It ...

Evolving tech stacks to account for contextual intelligence has direct implications for how commercial teams operate and ...

The next chapter of enterprise AI must move beyond simple workflows and embrace a dual architecture: a system of process and ...

What if the secret to unlocking the full potential of AI wasn’t in the algorithms themselves, but in how we frame their world? Imagine an AI agent tasked with organizing a massive library of knowledge ...

2025 has seen a significant shift in the use of AI in software engineering— a loose, vibes-based approach has given way to a systematic approach to managing how AI systems process context. Provided ...