Vercel Platform

- Easy interface, familiar UX to other AIs but with better outputs - I love that it pings when it's done thinking, I can navigate away from the page and not have to keep checking on it to see if it's done, it lets me know - Gets closest on the first try, closer than any other AIs we're using (especially if we're testing against competitors)

Standout features include its ability to seamlessly integrate with GitHub, which makes continuous deployment easy after the initial setup. The fast build times and reliable hosting were a must-have, which Vercel had. Other likes included the clean UI, make the navigation intuitive. The biggest win was the community support and documentation -- without this the setup and use would've been even more difficult.

The GitHub direct integration coupled with the auto deployment tools has made the process of publishing web apps a breeze. Additionally, as a hobby user, the generous free tier allowed me to test and trial a number of different capabilities without spending any money.

Mockups sometimes don't display correctly on first try, but v0 has an easy button that will send the error and rerun for a fix

The initial setup was confusing, especially when it came to the environment variable and build settings. Troubleshooting the errors also took some time and wasn't as beginner-friendly as we'd hoped. It felt like pre-knowledge of the platform was required to start using it effectively. A guided onboarding or setup-visual/program would've helped smooth the learning curve a bit.

1) In some cases with certain frameworks or deployments that are not part of the popular stacks it can be difficult to figure out why the deployments are failing. 2) It is not directly obvious (without digging deep into the documentation) how to effectivley use serverless functions well. Though they are still pretty easy to use for the most part. 3) Debugging was difficult to begin with.