[felarof]

There are bunch of tedious / routine tasks that AI can automate.

I think the big hurdle is mostly education / shift in mindset. We are so used to doing the task manually that most of us (including me) don't pause to think if I should be doing this or can I give to an agent.

[hcal]

I had browseros do a bunch of data validation for me in my Dolibarr ERP system. It cross checked my new master data against our old ERP, flagging bad links and filling in missing data. I could have done it much quicker overall with the api and some scripting, but it was easy to just write a two line prompt telling it where the data is and how to manage disagreements. Then I just watched it run on a second monitor for a few hours while I worked other projects.

I used a local Ollama model and though it was kind of amazing that it worked. I couldn't turn a typical user lose with something like this yet, but I think I see the vision. I image a lot of automation could happen this way in the future. I put less effort into the prompt than I would have needed to spend teaching someone from the office pool to accomplish the same goal, and got a good enough result.

In practice I have found that I can accomplish the same results in a stricter, more accurate, and faster way just using codex on the command line with some scripting and API access, but that's not going to work for a lot of people and putting it in the browser is pretty convenient... The MCP server that's built in can also become a bit of an API for the entire web if you're careful in how you use it, which opens up possibilities for things that don't have real APIs.