Fundamentals of AI Tooling (ft Hai Nghiem)

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Feeling intimidated by AI tooling? This is the perfect place to start. Join us for a deep dive into AI agent fundamentals with expert educator Hai Ngheim. We break down complex topics like context engineering, explaining why it's a more useful term than prompt engineering. Learn the key differences between an AI Agent and a workflow, and discover when to use each for maximum efficiency. We demystify Retrieval Augmented Generation (RAG), explaining why it’s fundamentally a search problem, not just a vector database issue.

Explore the future of AI interoperability with the Model Context Protocol (MCP), the "USB-C for agents" , and see how it simplifies building with AI. For those intimidated by the command line, we offer tips on getting started with powerful tools like Claude Code. This episode covers the fundamentals of deep research , browser-use agents , and what makes a "deep agent" capable of producing high-value output. If you've heard these buzzwords online , this is the explanation you've been waiting for to help you integrate these powerful AI tools into your life.

Guest Links: Check out Hai's Agent Engineering Bootcamp: https://maven.com/agent-lab/agent-engineering-bootcamp

Check out AGI Ventures Canada on LinkedIn: https://www.linkedin.com/pulse/new-beginning-hai-nghiem-swnsc/

Connect with us

https://x.com/ToolUseAI

https://x.com/MikeBirdTech

https://x.com/haithehuman

00:00:00 - Intro

00:01:05 - Context Engineering vs Prompt Engineering

00:03:36 - AI Agents vs Workflows

00:20:56 - MCP (Model Context Protocol) Explained

00:29:58 - Getting Started with Claude Code

00:38:49 - The Power of Browser-Based AI Agents

00:48:50 - What Are Deep Agents?

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