[morgante]

At its core, Gandalf is just a large collection of scripts and playbooks which are written to work very generically. They're slotted into an overall framework which I wrote that can "learn" the architecture of a particular company/app and customize things intelligently. NLP works on top of this to map user input to playbooks.

There's still a decent amount of human intelligence involved though, since obviously we want to give customers a good experience. This mainly comes in upfront (where we tune the implementation for each customer) and for any tasks which Gandalf hasn't learned to do yet. I've also invested in making it easier to train Gandalf to do things—for example, I can say "watch me" and then do a bunch of things with the AWS console/API and they get turned into a parametrizable playbook.

Any good DevOps engineer invests heavily in automation. Gandalf is just one level up of automating the process of automation.

If you have any other questions, feel free to email [e-mail].