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Kris Puckett – Build Your Personal AI by Talking to It is a self-paced course created by Kris Puckett, a Design Manager at Stripe and creator of the iOS app Epilogue. The program teaches non-technical users how to build a personal AI operating system using conversational workflows and Claude Code, without requiring traditional programming skills.

What You’ll Learn

1. Claude Code Fundamentals

• Installing and setting up Claude Code.
• Basic terminal usage for beginners.
• Understanding AI-assisted development.
• Building systems through conversation instead of coding.

2. Creating Your AI Workspace

• Setting up a foundation file structure.
• Organizing context and instructions.
• Turning AI from a generic assistant into a long-term collaborator.
• Building reusable systems.

3. Identity Layer

Participants learn how to:

• Define the AI’s role.
• Create persistent instructions.
• Transform AI into a personalized thought partner.
• Establish long-term context.

4. Memory Systems

• Creating memory layers.
• Preserving information across sessions.
• Building context that compounds over time.
• Improving AI responses through accumulated knowledge.

5. Daily Briefing System

Students build:

• Morning briefing workflows.
• Context-aware planning systems.
• Personalized dashboards.
• Proactive AI routines.

6. Energy-Based Task Management

• Organizing work by energy levels rather than priority.
• Designing adaptive productivity systems.
• Matching tasks to personal capacity.
• Building sustainable workflows.

7. Coaching Layer

The course demonstrates how to create an AI system that:

• Provides reflection and feedback.
• Tracks recurring patterns.
• Acts as a thinking partner.
• Helps maintain focus and accountability.

8. Personalization and Evolution

• Customizing the system.
• Expanding beyond the initial framework.
• Creating new workflows.
• Building additional AI-powered tools and applications.

Bonus Module – Going Always-On

Students explore:

• Ambient AI workflows.
• Persistent environments.
• Continuous interaction models.
• Moving from a tool-based approach to an AI-native workflow.

Course Structure

• 8 core modules + bonus module
• Approximately 6 hours of video lessons
• Self-paced format
• Hands-on exercises
• Starter templates included
• Lifetime access
• Future updates included

Tools Used

• Claude Code
• Markdown files
• Local file systems
• Template frameworks
• Personal AI operating systems

Who It’s For

• Non-technical creators.
• Designers and product managers.
• Entrepreneurs.
• Knowledge workers.
• AI enthusiasts.
• People interested in building a personal AI assistant without learning traditional programming.

Pros

• No coding experience required.
• Emphasizes systems and mental models rather than prompt libraries.
• Focuses on long-term AI collaboration.
• Practical, project-based approach.
• Lifetime access with updates.
• Suitable for beginners.

Main Focus

Building a personal AI operating system through natural conversation with AI, enabling users to create memory systems, productivity workflows, and AI thought partners that evolve over time instead of relying on one-off prompts.

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