Onboarding new AI hires calls for context engineering - here's your 3-step action plan ...

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 ...

While prompt engineering will remain vital, getting consistent, situationally aware results from AI models will require IT teams to build context ingestion processes for agentic AI. Organizations ...

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 ...

The artificial intelligence (AI) systems most companies are building today are flying blind. Here's why context engineering is the missing piece and the race is already on. The promise of enterprise ...

What if the secret to unlocking AI’s full potential wasn’t about writing better prompts or relying on intuition, but instead lay in a methodical, structured approach that eliminates guesswork? Enter ...

Agentic AI systems need a deep understanding of where they are, what they know, and the constraints that apply. Context engineering provides the foundation. Enterprises have spent the past two years ...

Context is the bedrock on which meaningful interactions are built. We’re at the brink of a major shift in AI. What began as simple, task-specific models is now evolving into something far more ...

By Ed Walters, VP of Legal Innovation + Strategy, Clio. Law firms and legal tech companies spent a lot of time in 2025 ...