In Episode 71 of '100 Days of Data,' Jonas and Amy pause for a reflective checkpoint to evaluate the role of tools in your AI learning path. They explore how to choose tools that align with your skills, business needs, and data maturity — emphasizing function over flash. The episode unpacks what makes up a technology stack, why reflection is critical, and how to plan incremental tool adoption. With real-world examples from healthcare, finance, and retail, they illustrate the importance of selecting the right tools for the right stage. Whether you're starting with basic spreadsheets or piloting ML models, the hosts guide you through building a thoughtful and adaptable toolkit that grows with your AI capabilities. It's a practical look at making smarter technology choices and staying intentional in your journey.