In this episode, John Maeda from Microsoft Developer demonstrates how to design and deploy an AI-powered resilience coach using practical psychology and coding techniques on Cozy AI Kitchen.

Building a Resilience Coach with AI on Cozy AI Kitchen

Overview

Join host John Maeda as he combines psychology and AI engineering to guide you through building a personalized AI coach for resilience. The episode covers psychological theories, AI concepts, and practical coding—including deployment using Visual Studio Code and Python.

Key Takeaways

• Understand psychological models that explain how people respond to change (Kubler-Ross curve, Grit theory, positive psychology)
• Learn how to apply these models to AI coaching agents
• Explore context engineering techniques to improve agent responses
• See a step-by-step walkthrough of deploying your own agent in code
• Access demo resources and repositories for hands-on practice

Episode Chapters

1. Responding to Change: Assessing first reactions and emotional adaptation
2. Resilience Coach Overview: Introducing the project scope and goals
3. Core Psychological Models: Kubler-Ross curve, Angela Duckworth's Grit, Seligman's positive psychology applied to AI agents
4. Building the Agent: Agent development workflow, infusing expert knowledge
5. Context Engineering: Techniques to tailor agent responses
6. Technical Deployment:
   • Setting up VS Code
   • Implementing in Python
   • Running and testing the AI agent
7. Live Demo: Real-time coaching via the agent
8. Recap and Resources: How to apply these learnings in your context

Demo Resources

• Demo Repo
• All Cozy AI Kitchen Episodes

Technologies & Tools Used

• Python (for agent development)
• Visual Studio Code (deployment environment)
• Azure OpenAI (AI backend, referenced)

Who Should Watch

• Developers interested in practical AI integrations
• Those looking to blend psychology and technology
• Practitioners seeking to deploy AI agents using Microsoft tools

Credits

Speaker: John Maeda (LinkedIn | X)

This content walks through the blend of psychological insights with real AI development steps, showing not just the theory, but the coding and engineering details necessary to build a functioning AI resilience coach.