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

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.