Lara Laurielle

I think coordinate is the word that gets overlooked. Doing one task is easy, keeping a whole process moving is a completely different thing.

The "start small" part is probably the best advice here. I started with one workflow in Workbeaver just to see if it was worth it, and that ended up being way less overwhelming than trying to automate everything all at once. It also gave me a better idea of where AI was actually useful and where it wasn't.

I like that you didn't make it sound like agents should just run everything on their own. Knowing where to draw the line is probably the hardest part.

used to think ChatGPT was basically searching the web too. Learning that it's generating one token at a time instead of looking up answers completely changed how I think about it

I like that you built the whole thing instead of just explaining the concepts. Way easier to follow that way

This is actually one thing I like about Workbeaver. It shows you what the agent did in the browser, which makes it a lot easier to check the results or figure out what went wrong if something fails.

This would've saved me a lot of confusion when I first started reading about AI. Sometimes the jargon makes everything sound more complicated than it is

Good read. Makes me appreciate how much optimization has gone into something as common as a dictionary lookup

Good read, I've noticed the same thing with Workbeaver. It's a lot more useful when you treat it like an assistant instead of expecting it to have all the answers.

This is one thing I like about Workbeaver too. AI can handle the flexible parts of a workflow, but the important steps still have rules around them. That balance just feels more practical