Series & Resources
Learn alongside the consulting work.
The video series, the source code, the AI tools, and the prompts — everything from the original Mark in the Loop, all in one place.
Series & Resources
The video series, the source code, the AI tools, and the prompts — everything from the original Mark in the Loop, all in one place.
Set up your development environment and run your first Python script with AI assistance. No coding skills required!
Watch Now →Create a private AI translation assistant that works completely offline. No coding required!
Watch Now →Build a computer vision app that monitors your productivity in real-time using your MacBook's camera.
Watch Now →Build a completely offline AI chatbot that works without internet using Llama2 models. No coding required!
Watch Now →Behind-the-scenes look at Meta's AI conference and the future of Llama models in real-world applications.
Watch Now →Official Python interpreter for macOS. Essential foundation for all AI development.
Download from Python.org →Run large language models locally on your MacBook with complete privacy.
Download Ollama →AI-powered code editor that writes and improves code with intelligent suggestions.
Download Cursor →Apple's development tools including essential command line utilities for Mac development.
Download from App Store →Lightweight, powerful text editor perfect for editing Python scripts and configuration files.
Download Sublime Text →Web-based AI assistant for code generation, debugging, and prompt engineering.
Open ChatGPT →Alternative AI assistant excellent for code generation and technical explanations.
Open Claude →Sign up for early access to Meta's Llama API for building AI applications.
Join Waitlist →Official Meta cookbook with examples and best practices for using Llama models.
View Cookbook →Complete GitHub repository for Part 1 with CSV visualization and setup files.
View on GitHub →Full implementation of the local AI translation assistant from Part 2.
View on GitHub →Mark's version of the computer vision productivity monitoring application from Part 3.
View on GitHub →Original computer vision demo repository that inspired the productivity tracker.
View on GitHub →Official Meta toolkit for generating synthetic training data using Llama models.
View on GitHub →The full ChatGPT conversation that generated the translation app code from Part 2.
View Prompt →Ready-to-use prompt for improving the visual design of your Python applications.
Copy Prompt →Use this prompt in Cursor IDE to get AI suggestions for enhancing your applications.
Copy Prompt →