How To Build Social Media AI Agents – Step by Step – No Code

How To Build Social Media AI Agents – Step by Step – No Code

English | MP4 | AVC 1920×1080 | AAC 44KHz 2ch | 19 lectures (2h 23m) | 1.07 GB

Create AI Agents for Facebook, Instagram, LinkedIn & X (Twitter) – Simple & Clear Videos For All Levels

This course will rapidly give you the power to create your own AI social media influencers and management team that will handle all content creation, posting, photos, and engagement for you or for businesses of your choosing. We will show you how to connect it to platforms including Facebook, Instagram, LinkedIn and X (formerly Twitter) step by step in easy and fun videos, but at professional scale.

Imagine having an AI-driven team that works 24/7, creating content, posting it, and even engaging with your audience.

This is not only possible, we’re going to build it together.

Whether you want to manage your personal social media accounts or offer social media automation services to small businesses, this course provides everything you need to build, control, and scale your very own AI-powered social media system.

In this course, you’ll learn how to create a social media brain—a system of AI agents that manage posts, content creation, research, and engagement.

You’ll learn to build a researcher AI using Perplexity AI and OpenAI tools to automate social media tasks across platforms like Facebook, Instagram, LinkedIn, and X (Twitter). You’ll be given the tools and knowledge to create a blueprint for building these agents that you can apply to your own personal projects or offer to businesses looking for social media automation solutions.

Imagine All the Businesses That Can Benefit:

  • Small businesses that need to streamline social media marketing and customer engagement.
  • Agencies that want to offer AI-powered solutions to clients.
  • E-commerce stores looking to automate content and advertising across social media.
  • Content creators who want to delegate their social media management to AI while focusing on their craft.

What You’ll Learn:

  • How to build AI-powered social media agents for Facebook, Instagram, LinkedIn, and X (Twitter) that work 24/7 to create and post content.
  • Design and build a social media brain with AI agents that research trends, write posts, and engage with followers—all on auto-pilot.
  • Integrate Perplexity AI and OpenAI tools to enhance your AI agents and make them smarter and more effective in content creation and research.
  • Create a blueprint that you can use for your own social media or to offer social media automation services to businesses and clients.
  • Scale your AI-powered social media operations by using sub-agents that handle specific tasks like posting, engagement, or data processing.
  • Set up and manage automation across all major social media platforms with just a few clicks.
Table of Contents

Introduction To Our Social Media AI Agent Blueprint And Design
1 Our Very Exciting Social Media AI Agentic Brain Introduction
2 Examining An AI Agent Blueprint Build
3 How To Build An AI Agent Blueprint Part II
4 Optimizing AI Agents To Build And Scale For Businesses

What is Makecom
5 Set Up An Account With Makecom
6 An Overview Of What Is Makecom

How To Build A Scenario And Workflow Automation With Makecom
7 What Are Scenarios In Makecom
8 Overview Of The Scenario Toolkit For AI Agents

Build A Social Media AI Agent Manager
9 What Is Perplexity AI And Getting The API Key
10 Prompt Engineering In Makecom With Low Code Availability
11 Prompt Engineering For An AI Research Assistant Agent
12 How To Build A Social Media Brain With Prompting

Sub Agents And Building An Army Of AI Agents
13 Setting Up A Router For AI Agents
14 Prompt Engineering As A Programmer With Sub Agents
15 Generating Images With AI Agents
16 How To Build AI Agents For LinkedIn And X
17 Converting Nested Data For AI Agents Into Clean Variables

Setting Up Authorization For Social Media Platforms To Automate Posting
18 Setting Up Authorization For AI Agents In Social Media
19 AI Agent Testing And Conclusion

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