#76 Neil: Mastering Context Engineering - Build Truly Autonomous AI Agents

Ready to graduate from prompting to architecting intelligent systems? This guide is your blueprint for mastering context engineering. We cover creating AI with long-term memory, implementing RAG with tools, and designing efficient multi-agent workflows. Build autonomous assistants. 🐘We'll talk about:The Fundamentals: What context engineering is and why it's more critical than prompt engineering.AI Memory Systems: How to build short-term and long-term memory for your agents so they can hold natural conversations and remember user details.RAG & Tool Calling: The techniques for allowing your AI to access and use external knowledge from documents, databases, and APIs.Optimization Strategies: Mastering chunking, metadata, and re-ranking to improve the accuracy of information retrieval from your data.Smart Summarization: How to significantly reduce operational costs and improve efficiency by summarizing information before feeding it to your AI.Advanced Architecture: The right mindset for designing data pipelines and building complex, specialized multi-agent systems that deliver reliable results.Keyword: Context Engineering, AI Automation, RAG, AI Tools, System Prompt, Chunking. Links:Newsletter: Sign up for our FREE daily newsletter.Our Community: Get 3-level AI tutorials across industries.Join AI Fire Academy: 500+ advanced AI workflows ($14,500+ Value)Our Socials:Facebook Group: Join 245K+ AI buildersX (Twitter): Follow us for daily AI dropsYouTube: Watch AI walkthroughs & tutorials