Why you need an Agentic Operating System

@brennan_wells

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Promoted product

Agentic Operating System

Why it worked

The video effectively highlights common pain points for users of AI agents, such as inconsistency and fragmentation, and then presents a clear solution with an agentic operating system. The use of a personal anecdote and a call to action in the creator's bio link further drives engagement.

Summary

The video explains the problems with using isolated AI agents, such as inconsistency, redundancy, lack of learning, and tool fragmentation. It then introduces agentic operating systems as a solution that provides persistent context, standardized tools, memory, and orchestration to improve AI agent performance.

Structure

1Problems with isolated AI agents
2Inconsistency and redundancy
3Lack of learning and tool fragmentation
4Solution: Agentic Operating System
5

Original caption

Why you need an Agentic Operating System #aiagency #aitutorial #aiautomations #aiincome #aibusiness

More from @brennan_wells

Product placement

Claude: an AI model that generates text and code. It acts as the core AI engine for tasks. Removing it would mean the video's premise is invalid. Claude Skills: specific workflows or tools that an agentic operating system can delegate tasks to. Removing them would change how the system operates. Claude Code: refers to code generated by Claude, or code used to interact with Claude. Removing it would change the context of building things.

Call to action

Check out my free school community. The link is in my bio.

On-screen text

Why you need an Agentic Operating System HERE'S WHY ISOLATED AI AGENTS BREAK DOWN AT SCALE AND WHY YOU SHOULD USE OPERATING SYSTEM INSTEAD. BUILDING THINGS WITH CLAUDE CODE, YOU'RE JUST GOING TO SPIN UP A WINDOW CLAUDE CODE, EXECUTE A TASK LIKE REPORT, AND IT WILL HAVE NO IDEA ABOUT WHO YOU ARE, THE CLIENTS THAT YOU AND YOUR OVERALL MISSION OR GOAL. IT DOESN'T KNOW YOUR BRAND'S VOICE, IT DOESN'T KNOW WHAT YOU WORKED ON LAST WEEK OR AND, CREATES A FEW PROBLEMS, THE FIRST ONE BEING INCONSISTENCY. THE OUTPUT THAT PROVIDES TODAY MAY BE DIFFERENT FROM LAST WEEK. THE SECOND PROBLEM IS REDUNDANCY. YOU'RE CONSTANTLY HAVING TO REPEAT YOURSELF AND EXPLAIN TO CLAUDE CODE WHO YOU ARE AND ALL OF THOSE LINE ITEMS. IF YOU ARE HOPING TO OUTPUT NUMBER THREE IS THAT THERE IS NO ITERATION, THERE'S NO LEARNING LOOP IN WHICH CLAUDE CODE GETS BETTER AND BETTER AND ACTUALLY LEARNS FROM THE PATTERNS THAT YOU EXECUTE WITH CLAUDE AND THE FOURTH PROBLEM IS TOOL FRAGMENTATION. IF YOU'RE USING A LOT OF DIFFERENT AI THEY ALL HAVE DIFFERENT TOOLS AND AND IT'S JUST FRAGMENTED ALL OVER THE PLACE. AND AN AGENTIC FIXES THAT BECAUSE IT HAS A PERSISTENT CONTEXT LAYER, SO IT KNOWS EXACTLY ABOUT WHO YOU ARE, YOUR BUSINESS, YOUR ICP, YOUR BRAND'S VOICE, AND THAT RUNS pERSISTENTLY ACROSS MULTIPLE SESSIONS. IT'LL HAVE A TOOL REGISTRY IN WHICH ALL OF THE TOOLS AND APIS AND INTEGRATIONS ARE STANDARDIZED ACROSS ALL OF YOUR AI AGENTS WITHIN THE SYSTEM. IT'LL HAVE A MEMORY AND LOGGING LAYER, SO IT ACTUALLY REMEMBERS OUTPUTS FROM PRIOR AND THEN IT WILL ORCHESTRATION LAYER WHICH WILL DELEGATE TASKS TO AI AGENTS OR WORKFLOWS CALLED CLAUDE SKILLS. IF YOU WANT TO LEARN HOW TO BUILD YOUR OPERATING SYSTEM, THEN MAKE SURE TO CHECK OUT MY FREE SCHOOL COMMUNITY. THE LINK IS IN MY BIO. HOPE TO SEE YOU IN THERE.

Transcript

Here's why isolated AI agents break down at scale and why you should use an agentic operating system instead. If you're building things with Claude code, you're just going to spin up a window, Claude code, execute a task like report, and it will have no idea about who you are, the clients that you and your overall mission or goal. It doesn't know your brand's voice, it doesn't know what you worked on last week or yesterday. And, creates a few problems. The first one being inconsistency. The output that Claude code provides today may be different from last week. The second problem is redundancy. You're constantly having to repeat yourself and explain to Claude code who you are and all of those line items. If you are hoping to output number three is that there is no iteration, there's no learning loop in which Claude code gets better and better and actually learns from the patterns that you execute with Claude. And the fourth problem is tool fragmentation. If you're using a lot of different AI, they all have different tools and and it's just fragmented all over the place. And an agentic fixes that because it has a persistent context layer, so it knows exactly about who you are, your business, your ICP, your brand's voice, and that runs persistently across multiple sessions. It'll have a tool registry in which all of the tools and APIs and integrations are standardized across all of your AI agents within the system. It'll have a memory and logging layer, so it actually remembers outputs from prior. And then it will orchestration layer which will delegate tasks to AI agents or workflows called Claude skills. Now if you want to learn how to build your operating system, then make sure to check out my free school community. The link is in my bio. Hope to see you in there.