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Ep 848: Context Engineering: How to Get Expert-Level Outputs From AI Chatbots (Start Here Series Vol 7)

Shownote

How did prompt engineering die so quickly? And what the heck does context engineering even mean? One of the trickiest things about LLMs is they're changing daily, yet they're the engines that drive business results. But if the engine is constantly ch...

Highlights

This episode explains how effective AI use is moving beyond carefully phrased prompts toward deliberately designed context. It presents a practical way to help AI produce more reliable, expert-level work by giving it the right information, structure, and standards.
00:00
Better context beats clever prompts
03:09
Better AI starts with better context.
10:20
Context engineering designs the AI’s working environment
12:04
Context engineering goes beyond prompt writing
15:50
AI needs relevant data and proper permissions
16:49
Effective AI context needs six structured building blocks.
22:44
AI becomes powerful when context turns into procedure
25:20
Strong context matters more than exact phrasing
29:15
Context and business data matter more than prompts
32:21
Reusable context beats perfect prompts
33:23
Expert AI results come from reusable systems.

Chapters

Access AI Community & Tools
00:00
Mastering Context in AI
03:08
Smart Models Require Less Precision
07:23
Context Engineering Beats Prompt Engineering
12:01
AI Context: Six Key Blocks
15:49
Building Context for Better Results
16:47
AI: Training, Not Easy Button
19:53
Chain of Thought Prompting Decline
25:17
Show, Don't Tell Techniques
29:11
Context, Reuse, and Scalable Systems
32:13
AI Chatbots: Memory and Skills
33:19

Transcript

Jordan Wilson: Welcome to the Everyday AI Podcast. My name is Jordan Wilson and for the past three and a half years, we've put out more than 800 episodes. Yet, one of the most common questions I get, I didn't really have an answer for. Where do I start on ...