What Is Context Engineering And Why Should You Care?

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In The Loop

Jack Houghton

37 episodes

4 days ago

Stay in the loop with the biggest stories in AI—without the noise and nonsense. Each week, Jack Houghton (CPO at Mindset AI) unpacks the latest news, research, and product trends shaping the future of artificial intelligence. From OpenAI breakthroughs to unicorn startups, In The Loop delivers sharp, less than 20-minute episodes packed with insights for product leaders, engineers, and AI-curious innovators. Subscribe to get smarter about AI, every week. Don't forget to rate and share the show with other AI enthusiasts. Check out Mindset AI: https://bit.ly/40lJr6B

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All content for In The Loop is the property of Jack Houghton and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.

Stay in the loop with the biggest stories in AI—without the noise and nonsense. Each week, Jack Houghton (CPO at Mindset AI) unpacks the latest news, research, and product trends shaping the future of artificial intelligence. From OpenAI breakthroughs to unicorn startups, In The Loop delivers sharp, less than 20-minute episodes packed with insights for product leaders, engineers, and AI-curious innovators. Subscribe to get smarter about AI, every week. Don't forget to rate and share the show with other AI enthusiasts. Check out Mindset AI: https://bit.ly/40lJr6B

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What Is Context Engineering And Why Should You Care?

In The Loop

18 minutes

3 months ago

What Is Context Engineering And Why Should You Care?

Context engineering is more than just the latest AI buzzword—it’s shaping up to be the future of how we build truly intelligent systems. In this episode of In The Loop, I explore the shift from prompt engineering to context engineering, why this evolution matters, and how it impacts the effectiveness of AI agents. If you’ve ever wondered why some AI tools feel magical while others fall flat, context engineering holds the answer.

I unpack what "context" actually means in the world of AI—from prompts and system instructions to long-term memory and external data. You’ll hear how building multi-agent systems without proper context coordination often fails, and why simpler, sequenced workflows are currently more effective. Whether you’re building AI products or simply using tools like ChatGPT, this episode will change how you think about how they work.

⏩ Episode Highlights

(01:00) - What is context engineering—and how is it different from prompt engineering?

(09:20) - What role are orchestration and multi-agent systems help maintain context and improve p

(16:05) - The impact of context engineering: personalization, privacy, and better UX

(16:00) - Closing thoughts: what this means for the future of AI

🔗 Links & Resources:

📖 Episode transcript with more resources on the Mindset AI blog

If you enjoyed this episode, rate, follow, and share! It helps others stay ahead of the latest AI trends. 🚀

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Jack Houghton

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