Today on the AI Daily Brief, 10 OpenClaw and Agent Orchestration tips.

The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI.

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at AIDDailybrief.aI.i.com. Now, AIDilybrief.aI is also where you can find out about everything else in the AIDB ecosystem. We've always got a bunch of things cooking over here. Free training programs, data, research, you name it. You can find that all on AIDilydief.aI. Now, for, for this weekend long read slash big think episode, we're turning

our attention back to OpenClaw. It's now been a little over a month since the initial burst of

excitement around OpenClaw. And this would be the time that you started to see people get

disaffected. A normal hype cycle would tend to see people coming out of the woodwork at

this point saying, here's all the ways this is actually much harder and less useful than the

people who are telling you that story are actually letting on. And to be fair, there is absolutely

some of that, and not from AI haters or anything like that. Peter Levels, one of the best known

and most admired solopreneurs out there, recently tweeted about his experience with OpenClaw, which sort of comes down to just, meh. Peter said that he's run OpenClaw for over a month, he's had it in a group chat with 26 friends who all played with it, tried to hack it, he made a cool game, tried to make it make its own money, but ultimately found that his most used use case is actually

a girlfriend who uses his OpenClaw via Telegram instead of ChatCTPT. Basically, his girlfriend

prefers the interface of using Telegram as opposed to the native app interface, and because

she also uses Nanobanana Pro, she can do that from there without having to switch between

different models. Peter writes, essentially 99% of the purpose of OpenClaw for her at least is that it's just a really good implementation of an LLM app over Telegram in our native chat interface. All the other stuff isn't important and she doesn't use that and I don't use it. Now he talks about how there are certain other things that he could see being useful if the models were just a little bit smarter, but ultimately are not for him right now, like briefings of news and conversations on X. Ultimately, he concludes, TLDR, just the best LLM experience on Telegram right now, better than the LLM apps, also helps it as just a continuous convo going on forever. Now, he qualifies, I do think this is the direction everything will be going, like you have autonomous agents just managing your life based on intents you set. We're just in the hype stage of it now and it doesn't work so well yet, but that's obvious. And like I said, there are plenty of takes out there like that. Even the folks who are getting a lot of value out of this thing are not pretending that it's super easy to do so so. Tom Osman writes, everyone I know who has gotten to a good OpenClaw setup has chewed glass for four weeks. It's a battle, but it's worth it in every way. Which year writes, I've been running open claw on a Mac Mini M4 for over a month as well, and here's my honest take. It still doesn't feel like a fully autonomous agent. You either tell it what to do or wait for

its cron jobs to surface something and then tell it what to do with it. The fully hands-off version doesn't exist yet. It is incredibly useful on the research and education side. It scans everything happening on the internet and the sectors you care about, so you're always aware with what's going on. You learn passively just by reading the news at services for you every day. Three, you will learn more about LLM's AI agents set up in hardware by simply trying to get an

open claw running than from any course or article.

This is the best part for me.

I understand this world 10x better than I did five weeks ago.

Don't get fooled by the content you see on X, but I'm still 100% in love with this.

In other words, even the people who are really

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