01What Agent OS Is and How It Works

Agent OS is an all-in-one platform for managing your AI agents in one place. It makes every agent you have work together with one shared memory. You do not need coding skills to use it.

In this episode, Julian's digital avatar explains that all workflows, agents, and tools connect and talk to each other.

The system keeps improving daily. When a new model drops, it gets added right in. You do not chase new stuff.

The new stuff comes to you. It does not matter what comes out next week. Your agent OS is already ready.

You can plug any model into the system. Use big models, local models, or a mix. The system also includes a built-in local AI engine.

You can type a prompt and it builds a simple page or workflow. Then you preview it right there. Everything stays in one workspace.

02Main Features of Agent OS

  • One-click access to every agent you have.
  • Shared memory across all workflows.
  • Automatic model updates when new ones come out.
  • Cloud option to run agents 24/7, even when your computer is off.
  • Built-in outreach agent for tasks like backlink building.
  • Ability to plug in any model, including local models.
  • Local AI engine that builds simple apps or pages from a text prompt.
  • Profiles that let you pair the system with your favorite top model.
  • Model routing playbooks that tell you which model to use for which job.
  • Over 10,000 prebuilt agents ready to run.
  • New model briefings to keep you first and ahead.
  • Weekly coaching calls with real people.

03How to Set Up Agent OS: Step-by-Step

Setting up agent OS is straightforward. In the episode, Julian shows that you can start with the complete zip file and drop it in. No coding is required.

Here are the steps he shares:

  1. Get the complete agent OS zip file from the AI Profit Boardroom.
  2. Install it on your computer or set up a cloud option for 24/7 running.
  3. Create a new profile and plug in your favorite model, such as a top model or a local one.
  4. Set up your agents, each with specific tasks like outreach or tracking.
  5. Give your agents context using the memory system.
  6. Test and customize your workflows to fit your life or business.

You can also set rules to protect your files. For example, tell an agent not to change your sidebar without asking. Updating the system is easy, and agents can restore removed features if you ask.

04How to Use Agent OS: Real Examples

Agents can handle many practical tasks. For backlinks, you set up an outreach agent. Hook it to your email.

It reaches out to website owners, asks for links, and follows up. For example, you can target websites in the AI space to link to your AI Profit Boardroom page.

For job hunting, someone in the community built an agent that tracks every job you apply to. It flags reposted jobs and skips anything you touched in the last 90 days. It keeps a board of leads and pipeline.

For creating images, you can ask your agent to make an image for a post. It does it right there, all in one system. No jumping between tools.

For building simple pages, use the local AI engine. Type a prompt like "Build a page showing the value of AI automation." It builds it. You can preview it instantly.

You can also switch between different models in the same system, like a big one and a local one.

05Results, Tests, and Community Wins

In the episode, Julian shares a community win. One person set up their own version of the agent OS. They customized it, renamed it, and made it their own.

That person is not a coder at all. They used the memory system to give agents context and wired in a free local model. It worked.

Another person built a job tracker with the system. They made a fully custom workflow that tracks who they reached out to, what jobs got posted, and who is in the pipeline on an AI-powered board.

Julian also mentions testing many new local models. Some are strong for running on your own computer. But on a normal machine, you are limited.

A beefy setup with a big graphics card is better.

No exact numerical results are given, but the wins show that non-coders can build functional AI systems.

06Tips, Limits, and Mistakes to Avoid

  • If you close your laptop, agents stop running unless you use a cloud option. Use cloud for 24/7 operation.
  • Local models are great for small tasks but limited on normal computers. Save big thinking for a smart model.
  • Agents may remove files during updates. Check and ask the agent to add them back. Set rules to protect important parts.
  • Backlink building is a numbers game. You might message 100 sites for one link. Use an outreach agent to automate.
  • Do not stop after a 30-day roadmap. Many people build a plan and stop. Instead, grab the actual agent OS tool and keep going.
  • Always tell agents not to change certain things without asking. That keeps you in control.

07Who Agent OS Is For and Why It Matters

Agent OS is for anyone who wants to use AI without chasing new tools or models. It is especially for non-coders. Julian's avatar says people with zero coding skills are building complete AI systems with it.

It matters because it centralizes everything. All agents work together, remember everything, and get better daily. You save time by not jumping between tools.

It matters for businesses. You can build agents for outreach, tracking leads, or creating content. The system is scalable.

You can start with a simple profile and grow.

In the episode, the AI Profit Boardroom offers the full agent OS zip file, model routing playbooks, over 10,000 prebuilt agents, new model briefings, and weekly coaching calls. The AI Success Lab is free and includes guides, over 100 AI use cases, and access to a community of 38,000 members.