Everyday AI Podcast – An AI and ChatGPT Podcast

Ep 710: Context Engineering: How to Get Expert-Level Outputs From AI Chatbots (Start Here Series Vol 7)

134 snips

Feb 10, 2026

They trace the shift from prompt engineering to context engineering and define what context means for AI chatbots. Topics include the context window, a six-block framework, four context layers, and building reusable context vaults. Practical techniques like few-shot examples, rubric-first grading, show-don’t-tell formatting, and connecting company data to models are highlighted.

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INSIGHT

Prompt Engineering's Era Ended

Prompt engineering mattered when models were limited and context upload was hard.
Today the bottleneck is business context, not exact wording.

INSIGHT

Context Is The Primary Differentiator

Context engineering ensures models understand your role, business, and market.
The same prompt yields wildly different outputs depending on provided context.

ADVICE

Respect The Context Window

Treat the model's context window like working memory and avoid overfilling it.
Monitor how much context you provide because models will discard earlier info when full.

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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 changing, then you also have to change how you drive and the roads you take.

That's why we're tackling context engineering in this installment of our Start Here Series, the essential beginners guide to understanding AI basics and growing your skills.

Context Engineering: How to Get Expert-Level Outputs From AI Chatbots -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Evolution from Prompt to Context Engineering
Why Prompt Engineering Is Now Obsolete
Defining Context Engineering in AI Chatbots
Six-Part Framework for Context Engineering
Four Layer System for Structuring AI Context
Building Reusable Context Vaults and Skills
Connecting Business Data to AI Models
Techniques to Achieve Expert-Level AI Outputs
Importance of Context Windows in Large Language Models
Context Engineering Best Practices and Scalability

Timestamps:

00:00 "Access AI Community & Tools"

03:08 "Mastering Context in AI"

07:23 "Smart Models Require Less Precision"

12:01 "Context Engineering Beats Prompt Engineering"

15:49 "AI Context: Six Key Blocks"

16:47 "Building Context for Better Results"

19:53 "AI: Training, Not Easy Button"

25:17 "Chain of Thought Prompting Decline"

29:11 "Show, Don't Tell Techniques"

32:13 "Context, Reuse, and Scalable Systems"

33:19 "AI Chatbots: Memory and Skills"

Keywords:

context engineering, AI chatbots, expert level outputs, prompt engineering, large language models, business context, AI models, custom instructions, data access, context window, prime prompt polish, reusable context vaults, context vaults, skills file, memory enabled models, ChatGPT, Claude, Google Gemini, Microsoft Copilot,

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Start Here ▶️

Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com

Also, here's a link to the entire series on a Spotify playlist.