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ChatGPT proved that AI could think with you. OpenClaw shows what happens when it can act for you.
Jon and Peter dig into this revolutionary AI that’s doing something fundamentally different. It’s not just answering questions, but taking action, remembering context, and is capable of orchestrating an entire digital life from a single text message.
Jon breaks down what makes OpenClaw tick: persistent memory that builds a picture of you over time, the ability to tap into multiple AI models on the fly, and a communication layer that meets you wherever you already live, from Telegram, Slack, iMessage, to even your Apple Watch.
He walks through real setups, from voice-note-to-response pipelines to automated workflows, showing just how close this thing is to functioning like a personal chief of staff.
But it’s not all smooth sailing.
Jon shares the tinkering he’s had to do to get it to work, such as the broken API keys, the late-night debugging, the token costs that spike when you forget to set a memory compression rule.
The tool is powerful, it’s fun, and it shows exactly where AI agents are headed. But it’s not plug-and-play. Not yet.
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By Jon Matzner and Peter Lohmann5
55 ratings
ChatGPT proved that AI could think with you. OpenClaw shows what happens when it can act for you.
Jon and Peter dig into this revolutionary AI that’s doing something fundamentally different. It’s not just answering questions, but taking action, remembering context, and is capable of orchestrating an entire digital life from a single text message.
Jon breaks down what makes OpenClaw tick: persistent memory that builds a picture of you over time, the ability to tap into multiple AI models on the fly, and a communication layer that meets you wherever you already live, from Telegram, Slack, iMessage, to even your Apple Watch.
He walks through real setups, from voice-note-to-response pipelines to automated workflows, showing just how close this thing is to functioning like a personal chief of staff.
But it’s not all smooth sailing.
Jon shares the tinkering he’s had to do to get it to work, such as the broken API keys, the late-night debugging, the token costs that spike when you forget to set a memory compression rule.
The tool is powerful, it’s fun, and it shows exactly where AI agents are headed. But it’s not plug-and-play. Not yet.
KEY TOPICS
Stay connected for more insights and strategies by following:

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