Go from being an AI user to an AI architect. This episode provides the blueprint for automation, teaching you how to use "Context Engineering" to make your AI a specialist and when to choose a simple workflow versus a powerful agentic system.

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Chapters: 00:00 – Welcome back & episode setup 01:05 – Reframing automation: elevate the goal, not just the speed 02:40 – Audit the workflow: steps, transitions, and quick wins 05:10 – Crawl–walk–run: introducing change people will adopt 08:30 – Picking the first high-reward step for AI 10:55 – From one big prompt to linked tasks and roles 12:20 – What is an agent? Tools, context, and autonomy 15:20 – Quality control with examples (few-shot learning) 16:35 – Choosing examples without constraining creativity 19:50 – Turning examples into reusable prompts (meta-prompting) 21:36 – Bringing in private knowledge with RAG 25:10 – Tools and setup for RAG and context management 33:13 – Common pitfalls and how to build reliable RAG systems 41:00 – When to stop prompting and start orchestrating 48:41 – Using multiple tools and managing credibility 51:26 – Scaling responsibly and keeping humans in the loop 53:51 – Downloadable blueprint and automation roadmap 55:37 – Lessons learned and preview of next episode