Building microlearning with the Claude Chrome extension

I've been experimenting with the Claude Chrome extension to help build out a short microlearning course, and the experience has been a fascinating lesson in patience and process.

The setup is straightforward: I open my course template on my web-based learning platform, and the Claude extension "plugs in" directly to the page. But I'll be honest: it is incredibly slow. In fact, if I were purely looking at the clock, I could definitely build the screens faster manually.

However, speed isn't the only metric that matters. What I've discovered is a workflow that prioritises cognitive energy over manual output:

➡️ The Blueprint: I start with a detailed storyboard, mapping out every text string and content block.

➡️ The Drip-Feed: I feed the content to Claude in small, deliberate chunks. If I overload the context, the output falters, so I've had to learn to provide instructions with precise nuance.

➡️ The Parallel Path: While Claude slowly (very slowly!) churns through a section, adding in content blocks and text, I'm free to work on something else entirely.

➡️ The Final Polish: Once the AI flags a piece as done, I step back in to refine the flow.

While I wouldn't use this specific setup for a full-length, complex course just yet, as a trial for microlearning, it was an eye-opener. The value didn't come from automation in the traditional sense, but from delegating the grunt work. The experience reinforced that my role is shifting away from the hands-on, tedious bits of inserting blocks and pasting text.

GenAI doesn't need to be faster than a human to be useful. Even if the process feels like a slow ride, the fact that it removes the friction of repetitive tasks is a huge win for any designer. I'm excited to see where this goes as the tools evolve to take some of the heavy lifting out of learning design.