[artabra]

Those are still in the cooker, we'll throw them up asap once they're ready.

Some demos we will have are:

- Logging into twitter and tweeting

- Finding information from google maps of any nearby business whether that's for leads or finding local restaurant options.

- Scraping anything from wikipedia like current events etc.

- And more!

[iiJDSii]

Those are good ones. I've fiddled with similar systems before, do you have a rough success rate? I know they can be finicky, especially as you execute through a chain-of-thought action plan, or however you're doing it.

[jawerty]

Anything improving reasoning chains of though improves planning. Right now the long term ones Art mentioned like logging in have been around 80% while simpler ones have been higher. Right now our main issue is figuring out how to keep the server up :/ we're getting a little more traffic than expected. However, to bump those success rates up (which we need to) we really really need to fine tune additional models which we're planning out right now.

I have a few ideas around that mostly going down the RL route (with a twist) mixed with some knowledge graph work. We'll give an update when we push that!

[iiJDSii]

> keep the server up

Oh maybe I didn't understand from the site - it's not a standalone desktop app? What processing do you do on your server side?

[jawerty]

We have an API server where we execute all the agent reasoning/planning jobs then we stream the browser commands to the client. We mention this in the how it works section on the website. This is the main reason why we have the 5 bot a day limit is because of this. It's cheap for us to run as of now but if anyone would like us to ship a version where you'd use your own api keys (plug n play) locally let us know!