@Damien Hooper great points. Yeah, I built a control panel before, but I don't remember if I put the cron jobs and sub-agents in. I did one of them for one of my OpenClaw, but maybe not this one. That's definitely a good first step, including alerting on thresholds. Thanks for that tip.

Keith is speaking the truth here, but I feel it's complicated. I feel that in general I know what I'm doing, but I still don't know exactly how to go about spelling out a successful case to an agent vs an unsuccessful case - or and how much work it would take to get there which makes me shy away from it and just try stuff out which gets messy fast. I hear Kieth loud and clear but… like let’s take failed cases, how do I know what the failed cases are? I guess ones that don’t produce favorable outcomes ones? But maybe there’s learning there and it’s ok for it to fail? I'm working on building a tool that will look at commodities prices today and look at all the news in the world and do some deep research there with 4.6 or others. It will come up with some points of view on whether or not a commodities trader should go long or short. Long would mean that the price is going to be going up, and short means the price is going to be going down. What price point should the trade get out at, and where should the traders get out at on each side? How do I know that advisory if that is a legit advisory or not? What was the positive case versus the negative case? I guess if it works and it makes money over time, then that's a positive case, and if it loses or is wrong, then it is a negative case. It seems very complicated for me to understand how to tell my model, as I'm trying to tell it, "Hey, create agents to go make these advisories. Here are the correct cases; here are the incorrect cases." It gets a little tricky. Maybe I need to think about dumbing down my models more and not having them act so smart. I don't know; it's not super simple in my opinion, but maybe I'm missing something.

Geeeeze @Renato Avanzini , not to take over this comment thread on that topic but that’s bad. I’ve often wondered if I should be running daily pushes of all Open Claw configs/memory to git and Google Drive (just to have a back up beyond the back up). I wonder wha happened with yours. Personally last week I got so mad at mine I had to pull the plug and now I’m thinking of rebuilding from scratch too. Mine started charging me like $50 /day in Anthropic credits and I couldn’t figure out how. I dialed it back to not rebuy but I was going through $10 in credits lik every 30 mins using it. And this is after I told it to kill all corn jobs (and it said it did, but I’m not sure how to check for definitive data that it followed through on that. Similarly, I told it to use local models (I have 3 on my Mac Mini) for heart beats (that I changed to every 30 mins) and to use Sonnet 4.6 instead of Opus 4.6 for all conversations and day to day default work and only ever use Opus 4.6 when I explicitly tell it to. I’ll move this over to a new thread to ask for advice there, but wanted to share that I feel your pain!

Ok, guessing that’s $39/month on some VPC that you can SSH into you just have to trust them with all your data? Where’s this at? I’m interested in feeling it out.

@Keith Motte Extremely solid. Thank you!

@J Gold Especially if we combine it with the ability to publish once and have it show up as syndicated out to all the different social networks, with social network specific branding or modeling, with the right text and the right thing for that social channel. + ...if you could layer in the ability to pick up on the latest social media trends and take that content and tweak it for that social media trend, that'd be awesome!