Building a No-Code LinkedIn Agent: Automating Content Process

Introduction

• Ben demonstrates how to build a no-code LinkedIn agent.
• Focus: Automating content process (1st video of a two-part series).
• Benefits: Saves hours in content creation and management.
• Part 2: Automating LinkedIn outreach.

Importance of LinkedIn

• LinkedIn as a tool for lead generation.
• Consistent quality content posting is challenging.
• Key activities: Research top posts, generate ideas, engage with others, write engaging posts.

Features of the LinkedIn Agent

• Streamlines content creation for LinkedIn.
• Real-time access to top-performing posts for idea generation.
• Uses RAG (retrieval-augmented generation) to find similar posts.
• Drafts posts using YouTube videos or other content.
• Writes posts in an effective LinkedIn tone using fine-tuned language models.
• Can schedule or directly post on LinkedIn.

Demonstration

• Shows agent retrieving top posts from a LinkedIn database.
• Allows viewing and analyzing top-performing posts without accessing LinkedIn.
• Can find similar posts based on a given idea.
• Drafts post variations using a fine-tuned LinkedIn post writer tool.
• Incorporates a human-in-the-loop step for editing before posting.

Advantages

• Saves time by automating content research and creation.
• Provides real-time, up-to-date data access.
• Enhances the content creation process.
• Can be set up to automatically scrape LinkedIn posts.

System Overview

• Built in Relevance AI with m.com for easier integrations.
• Utilizes five tools including content calendar management and LinkedIn posting.
• Accesses two databases: LinkedIn post database in Air Table and a knowledge base in Relevance AI.

Setup Details

Agent Setup

• Expert LinkedIn Assistant for content ideation, creation, and publishing.
• Utilizes specific tools for database querying and content posting.

Query LinkedIn Database Tool

• Retrieves records from a LinkedIn post database.
• Filters and sorts data using Air Table and make.com integrations.

Knowledge Base in Relevance AI

• Uses RAG for finding similar posts.
• Capable of vector searches and keyword-based searches.

LinkedIn Scraper Tool

• Scrapes LinkedIn profiles daily and updates databases.
• Uses a Google Sheets list of LinkedIn URLs for scraping.

Fine-Tuned LinkedIn Post Writer

• Based on customized language models for personal tone.
• Generates post variations for approval and editing.

Posting Tools

• Content calendar updating and direct LinkedIn posting.
• Utilizes API steps to connect with make.com for seamless integration.

Conclusion

• Complete template available for free in Ben’s community.
• Emphasizes the power and potential of AI agents in business automation.
• Encourages learning RAG, database querying, and fine-tuning models for building efficient AI systems.