Ep 710: Context Engineering: How to Get Expert-Level Outputs From AI Chatbots (Start Here Series Vol 7)
February 10, 2026
AI Summary
5 min read🎙️ The Voices & The Context
- The Format: Solo-hosted educational podcast episode in the "Start Here" series, structured as a monologue with practical breakdowns, analogies, and calls-to-action.
- The Key Players: Jordan Wilson, host of Everyday AI, a seasoned AI educator who's delivered 200+ live trainings and teaches context engineering concepts he's pioneered since late 2023.
- The Vibe: Educational and enthusiastic, blending history lessons with actionable advice; energetic delivery keeps it engaging for beginners and pros alike.
🗝️ Key Themes & Topics
Four core topics drive the episode: the death of prompt engineering, the rise of context engineering, frameworks for implementation, and scalable reuse strategies.
- Shift from Prompt to Context Engineering: Explains why "prompt engineering" faded (smarter models, larger context windows, internet/tools access) around mid-2025, popularized by figures like Shopify's Toby Lutke and Andrej Karpathy; now, business context trumps wording.
- Context Window Basics: AI's "working memory" (like a hard drive) forgets early inputs when full; poor context causes 40% of AI project failures per Intuition Labs.
- Frameworks for Context: Six building blocks (Goal, Constraints, Reference Material, Examples, Procedures, Evaluation Rubric) applied across four layers (Personal, Team, Company, Mar
Continue reading the full summary in the app — free to try.
Read Full Summary →Free • No credit card required
What you'll learn
- 1 (00:16) **Decline of Prompt Engineering**
- 2 (04:30) **History and Evolution of Prompting**
- 3 (08:58) **Popularization of Context Engineering**
- 4 (12:45) **Why Context Matters in Modern AI Platforms**
- 5 (16:40) **Six Building Blocks of Effective Context**
- 6 (18:29) **Four Layers of Context Application**
- 7 (20:00) **AI as a New Employee Analogy**
+ Full timestamped outline available in the app
Show Notes
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
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
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
More from this podcast
Everyday AI Podcast – An AI and ChatGPT Podcast →