Why This New Show?

By Dan Sanchez · Episode published

This launch episode explains why Dan built a new show to learn AI in public, interview practitioners, and turn a fast-moving subject into practical help for marketers.

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Learn a moving subject in public

At the end of 2023, AI had become impossible for marketers to ignore. People were writing emails, building web copy, and repurposing content with new tools, but the advice was mostly “learn AI or get left behind.” I wanted a clearer path than collecting disconnected tips.

My usual way to master a subject was a 30/30 plan: read 30 books, talk to 30 experts, and write 30 posts. AI was moving too quickly for that plan to work normally. Books were already becoming outdated, so I decided to interview practitioners, experiment with tools, and use podcasting as the learning system.

Make the project useful to someone else

The show was selfish in the best sense. I wanted to understand what was changing, but I also wanted to turn the research into something other marketers could use. Each conversation could surface a workflow, a limitation, or a question worth testing. That made the learning more concrete than simply reading another prediction.

I had seen how getting early into social media created career momentum. AI felt like another wave worth catching, but timing alone was not enough. I needed to practice until the tools became productive, then share what I learned while the subject was still changing.

This show began as an experiment: learn fast, talk to people doing the work, and translate the useful parts for marketers. That remains a good reason to start a project in a new field. You do not need a finished curriculum before you begin. Build the curriculum through the questions you ask and the work you try.