They transitioned to a more traditional b2b virtual assistant model. We used them at my previous startup to do a lot of data entry work and spreadsheet clean up. They weren't great for EA-like tasks that require more nuance. athenago.com was much better for that.

I actually ended up starting usedouble.com (GPT3 for spreadsheets) to automate a lot of the work Magic was doing, as it felt quite expensive to have a human do those rote tasks. It often requires less verification as well, as the assistants often can make mistakes because they are not culturally familiar with the target task. For example, we used them to categorize a bunch of grocery products, and would see mistakes like putting frozen naan in the bakery section (where in north america grocery stores you'd expect that to be in the Frozen section). So it's interesting how GPT3 actually ends up being more accurate for things like this.