Learn to create a reusable Stimulus controller to be able to toggle fields so that we can hide sensitive information from prying eyes, screenshots or when sharing our screen.

In this episode, we take a user privacy focused approach to tracking emails for unique opens and view counts. We'll look at how we can track these emails without invading the user's privacy and get meaningful metrics.

In this episode, we will look at a date range of data and build predictions of what future values will be. However, we won't be reaching for any 3rd party APIs, but instead use statistical models to learn from our data to predict the future dates. We'll also display out our data on a table and plot it to a graph.

In this episode, we'll look at creating the initial management for a customizable dashboard. Users can add and arrange widgets to their dashboard.

Building on the previous episode, we look at refactoring our background job into a more maintainable object and provide context to the LLM so that we can chain together responses for a more conversational experience.