Скачать или смотреть AI4U Podcast | Episode 2: The Automation Blueprint

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.

Learn more about Fairfield Dolan's AI and Technology Institute:
https://www.fairfield.edu/academics/s...

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