Particle Data Platform

How To Build a Personal Agentic Operating System

4/25/202629 min

On our latest Operators Bonus Episode, Nufar Gaspar returns to introduce Agent OS, the latest free AIDB training program for building a personal agentic operating system that travels with you across any tool, model, or harness. As every agent tool converges on the same set of capabilities, the system you build underneath is what actually matters — and Nufar walks through the seven layers using a chief of staff as the running example.

Sign up for the free AgentOS program: https://aidbagentos.ai/

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  1. NLW· Host0:00

    [intro music] Today on the AI Daily Brief, how to build your agentic operating system. The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI. [intro music] All right, friends, we are back with another operators bonus episode. Today, we are once again joined by Nufar Gaspar, who is here to introduce the latest free AIDB training program, Agent OS. Now, those of you who have done AIDB New Year or maybe Claw Camp will be familiar with this style. It's a self-directed build-based program that's gonna give you the tools you need to build a complete agentic operating system. And for those of you who are wondering what the difference between this and Claw Camp is, in many ways, they share a lot of foundations, but whereas Claw Camp is of course focused exclusively on OpenClaw, this is an updated program that is meant to be platform model and harness neutral. Whether you're working with Clawed Code or Codex or some other set of tools, Agent OS is about building dynamic and extensible and adaptable agentic systems that you can continue to evolve over time. But instead of me yapping about it, let's turn it over to Nufar to introduce the program and get you building your agentic operating system. All right, Nufar, welcome back to the show. We got a fun one today.

  2. Nufar Gaspar· Guest1:25

    Yes, we do.

  3. NLW· Host1:26

    So this started kind of emerging around the time that

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