Project Shasta is a compelling platform. The only thing to keep in mind is that, while the system appears to be designed extraordinarily well, it may or may not work so perfectly in real life. With Project Shasta, Adobe has made the decision to replace dozens of manually controlled, pro-level audio tools with an AI to do that work automatically. If that AI is highly polished, Project Shasta will be superb in trimming words and blending voices, in what looks to be the most intuitive voice-editing software ever produced. If it's not, users will be stuck with a podcast that may be easy to edit, but buggy or generally subpar in its overall execution, leaving you few manual controls to make things right when they go wrong.

Adobe is testing out a new web-based tool that uses AI to simplify audio recording. The software is called Project Shasta, and it could make recording and editing podcasts and other projects a lot easier and more approachable. The project started off in Adobe Labs as an experiment to find "new ways to help people edit audio on the web," Mark Webster, Adobe's head of audio products, wrote in a post on Product Hunt. "But then it became clear that the pandemic made recording difficult too, even for audio professionals. Our vision became empowering everyone with the tools they needed to create professional sounding audio."