How to Create FULLY Autonomous AI Research Agents
TLDRIn this tutorial video, the host guides viewers on creating an AI research agent with numerous applications using Perplexity AI and make.com. The agent, likened to a combination of chatbot and Google search, analyzes URLs to extract data and insights. The process involves feeding Perplexity AI a prompt and a URL, which could be a YouTube video, Reddit post, or an article. The output is then transformed into a Google Doc script for content creation and sent to three GPT specialist agents. These agents generate different content outputs for LinkedIn, Twitter, and Facebook. The video also demonstrates how to use make.com, a no-code automation tool, to build the automation without any coding. The host emphasizes the cost-effectiveness and scalability of the process, encouraging viewers to explore its potential for various applications.
Takeaways
- 🤖 Use Perplexity AI and make.com to create an AI research agent with various use cases.
- 🔍 Perplexity AI functions like a combination of chat GPT and Google, enabling data and insights retrieval from URLs.
- 📈 The AI can generate different content outputs from a single URL, such as LinkedIn posts, tweets, and Facebook posts.
- 📝 The process involves transposing AI-generated content into a Google Doc for further use.
- 🚀 Utilize no-code automation tool make.com to build the AI without any coding.
- 💡 Start by creating a scenario in make.com and integrating Perplexity AI through its API.
- 📋 Copy and paste the URL of interest into the Perplexity AI module for analysis.
- 🔗 Generate summaries, audience perspectives, and unique insights from the provided URL.
- 📑 Send the AI's output to Google Docs for content creation and organization.
- 🛠️ Create specialized GPT agents for different social media platforms using clear instructions and desired voice.
- 🔄 Continuously update the Google Doc with new content from the automation without manual intervention.
- 📈 The cost of running the automation is low, with credits for Perplexity AI and subscriptions for make.com and chat GPT.
Q & A
What is the primary purpose of creating an AI research agent as described in the transcript?
-The primary purpose is to automate the process of generating content from various online sources such as YouTube videos, Reddit posts, and articles. The AI research agent uses perplexity AI and make.com to analyze URLs, extract insights, and create different content outputs for platforms like LinkedIn, Twitter, and Facebook.
How does perplexity AI differ from a typical language model?
-Perplexity AI is described as a combination of chat GPT and Google, enabling users to look at different URLs, get data, and insights from them. It also provides unique data and insights based on the topic being discussed, which might not be achievable through a typical language model.
What is the no-code automation tool used in the tutorial?
-The no-code automation tool used is make.com, which allows users to connect various apps through a drag-and-drop interface without any coding.
How much does the integration of perplexity AI into make.com cost?
-The integration costs €37, which allows for its use within all of the user's make.com integrations for life.
What are the different outputs that the AI research agent can produce from a single URL?
-From a single URL, the AI research agent can produce four different content outputs: a summarization of the article, a summarization of the comments, unique insights and research data points, and separate posts tailored for LinkedIn, Twitter, and Facebook.
How often can the no-code automation tool run to fetch new content?
-The no-code automation tool can run as frequently as the user likes, whether it's every 50 minutes, every hour, or every week.
What is the role of the 'router' in the automation process?
-The 'router' in the automation process allows for multiple actions to be triggered simultaneously based on the input. It directs the output to different paths, such as sending the content to Google Docs or different GPT specialist agents.
How does one create custom instructions for a GPT assistant bot?
-Custom instructions for a GPT assistant bot can be created using a platform like Claude AI. By providing a detailed prompt that outlines the bot's purpose, desired content structure, and voice, Claude AI can generate a prompt that can be fed into the GPT agent.
What are the costs associated with using the different platforms mentioned in the transcript?
-LinkedIn can be used for free, or there are paid options starting at $9/month for more features. Chat GPT requires a subscription for its advanced features, which is around $20/month. Perplexity AI operates on a credit system, where credits are purchased as needed, starting at $5.
How does the AI research agent enhance the content creation process?
-The AI research agent enhances the content creation process by automating the gathering of insights and data from various sources, summarizing content, and generating platform-specific posts. This allows for a more efficient and analytical understanding of the topic, which can then be transposed into a ready-to-use format for different social media platforms.
What is the benefit of using multiple GPT specialist agents in the automation?
-Using multiple GPT specialist agents allows for a division of tasks, with each agent focusing on a specific output, such as creating a LinkedIn post or a tweet. This specialization can lead to higher quality and more tailored content for each platform.
How does the AI research agent ensure clarity and logical flow in the generated content?
-The AI research agent uses detailed instructions and prompts to ensure that the generated content is clear, logically structured, and has maximum impact. This is achieved through careful crafting of the input prompts and the use of specific GPT agents designed for particular content types.
Outlines
🚀 Building an AI Research Agent with Perplexity AI and Make.com
The video provides a step-by-step guide to creating an AI research agent using Perplexity AI and Make.com. The agent is designed to analyze web content from various URLs, such as YouTube videos, Reddit posts, or articles, and generate insights. It utilizes GPT assistants to convert the analyzed content into different formats suitable for platforms like LinkedIn, Twitter, and Facebook. The process involves no coding and is achieved through a drag-and-drop interface on Make.com, with the integration of Perplexity AI for content summarization and data gathering.
🔍 Leveraging Perplexity AI for Content Analysis and Summarization
The tutorial demonstrates how to use Perplexity AI to analyze a Reddit post on personal finance, summarizing the post, comments, and providing additional data points. The process includes setting up an API connection with Perplexity AI, purchasing credits, and using the 'create a chat completion' feature to generate outputs. The output is then transcribed into a Google Doc for further use in content creation, showcasing the tool's ability to provide unique insights and data beyond typical language models.
📝 Automating Content Creation for Social Media with GPT Agents
The video outlines the creation of GPT agents for transforming content into posts suitable for LinkedIn, Facebook, and other platforms. It involves connecting to the OpenAI API, creating custom instructions for each agent using Claude AI, and setting up the agents within Make.com. Each agent is designed for a specific task, such as creating LinkedIn posts with an attention-grabbing headline and clear, logical flow. The tutorial emphasizes the efficiency of using multiple specialized agents over a single generalized one.
📈 The Cost and Potential of AI-Powered Automation
The final paragraph discusses the cost implications and potential applications of the AI-powered automation system. It mentions that LinkedIn posts can be created and published using the system, and touches on the pricing models of the various services involved, including LinkedIn, Chat GPT, and Perplexity AI. The speaker expresses enthusiasm about the significant applications of the system and invites viewers to share their ideas and requests for further tutorials in the comments section.
Mindmap
Keywords
AI Research Agent
Perplexity AI
Make.com
GPT Specialist Agents
Google Docs
Reddit Post
API Integration
No-code Automation
LinkedIn Bot
Content Ideas Document
Chat GPT
Highlights
A step-by-step tutorial on creating an AI research agent with multiple use cases using Perplexity AI and make.com.
Perplexity AI combines chatbot capabilities with data retrieval similar to Google.
The AI research agent can analyze URLs, such as YouTube videos, Reddit posts, or articles, and extract insights.
Content from a single URL can be transformed into various formats like LinkedIn posts, tweets, and Facebook posts.
Make.com is a no-code automation tool that connects with numerous apps for drag-and-drop functionality.
Integration with Perplexity AI requires a one-time payment of €37 for lifetime access.
The tutorial demonstrates creating content on personal finance by summarizing a Reddit post and its comments.
Perplexity AI can conduct further research and provide unique data points on the given topic.
Google Docs can be used to compile and format the summarized content for future use.
GPT specialist agents can transform content into different social media post formats.
Creating a custom GPT agent involves providing clear instructions and desired voice or style.
Claude AI can assist in generating custom instructions for the GPT agent.
The LinkedIn bot is an example of a specialized GPT agent that transforms content into LinkedIn posts.
The automation process can be set to run at desired intervals without the need for manual intervention.
The cost of using the services includes a one-time fee for Perplexity AI integration, monthly fees for make.com and chat GPT, and credits for Perplexity AI usage.
The tutorial provides a practical example of how to use AI to create content from a Reddit post URL.
The final LinkedIn post is specifically designed for the platform, showcasing the power of AI in content creation.
The tutorial encourages viewers to explore and implement similar AI automation for various applications.