Build custom AI agents in 30 minutes! 🤖

Name: Build custom AI agents in 30 minutes! 🤖
Uploaded: 2026-07-16T10:33:41.465Z
Duration: 17 s
Channel: Julian Goldie Agency
Description: Tutorial on building custom AI agents using an Agent Operating System, focused on practical automation applications such as SEO and client management.

Julian Goldie Agency16 July 2026Watch on YouTube

Part of series

Ep. 12 · AI-agents centraal beheren

Hoe je meerdere AI-agents via één gedeeld operating system en geheugen beheert.

View the series

Description

The Agent Operating System is changing how quickly people can deploy complex AI tools. Instead of worrying about frontier model restrictions, users are leveraging local systems and dedicated agents like Hermes Jarvis to automate SEO and client management from a single interface. Discover why building functional infrastructure matters more than chasing the latest gated model updates. #AgentOS #AIAutomation #ArtificialIntelligence #BuildWithAI

What you'll learn

You can build and deploy custom AI agents within 30 minutes using an Agent Operating System
An Agent OS lets you leverage local systems instead of relying on restrictions from large frontier AI models
You can combine multiple agents like Hermes Jarvis to automate SEO and client management from a single interface
Building functional infrastructure matters more than constantly chasing the latest restricted model updates

Frequently asked questions

What is an Agent Operating System and how does it help with building AI agents?

An Agent OS is a platform that accelerates building custom AI agents. It allows you to leverage local systems and integrate multiple agents into a single interface, enabling you to automate complex tasks without relying on restrictions from large models.

What practical tasks can you automate with it?

With an Agent OS you can automate tasks like SEO and client management. Agents like Hermes Jarvis can work together to handle these processes from a single interface.

Why is building your own agents better than waiting for new gated models?

Because functional infrastructure you can build now is more practical than relying on model updates that aren't always available. Local agents provide reliability and direct control over your automation.

How quickly can you have a working AI agent with this system?

According to the tutorial, you can build and deploy a custom, functional AI agent in just 30 minutes using an Agent Operating System.