This GPT-4o Automation Changes Everything
TLDRThe video introduces an innovative automation system leveraging GPT 40, which extracts conversation data to create actionable tasks. Viewers are walked through a real-time demo, showcasing how the system can be integrated with platforms like Slack and transformed into productivity trackers using tools like Appify and Anthropic Claude. The presenter, Jack, emphasizes the ease of use, cost-effectiveness, and potential applications of this technology, promising step-by-step guides and resources for implementation.
Takeaways
- 🚀 GPT 40 has launched with an advanced automation feature that can convert conversations into actionable tasks.
- 🤖 The video demonstrates how to use GPT 40 for real-time conversation and idea generation, which can then be automated.
- 🔧 The process involves using the GPT app, exporting conversations, and integrating with tools like Slack and Appify for automation.
- 💡 Appify is highlighted as a powerful tool for web scraping, which can be used to extract and utilize data from various platforms.
- 📝 A productivity list or tracker can be created from the conversation outputs, organizing tasks by priority and context.
- 💬 The video includes a live demo of conversing with GPT, showcasing its ability to engage in real-time dialogue and enhance ideas.
- 🛠️ Anthropic Claude is used to refine the conversation into a structured to-do list, emphasizing its language capabilities.
- 💰 The cost of running the automation is discussed, with the entire process being very affordable and efficient.
- 🔗 The video provides a step-by-step guide on setting up the automation, from downloading the app to configuring the final output.
- 🌐 The potential applications of this automation are vast, including creating social media posts, emails, and productivity systems.
- 👨🏫 The presenter, Jack, offers further resources and support through his school community for those interested in implementing these automations.
Q & A
What is the main feature of the GPT 40 automation discussed in the video?
-The main feature of the GPT 40 automation is its ability to extract information from a conversation with the model and transform it into actionable tasks or content such as social media posts, productivity lists, and more through a system.
How does the automation process work with GPT 40 and Slack?
-The automation process begins with having a conversation with GPT 40, exporting the chat, and sending it to Slack. From there, the chat is modified and sent to a tool like Appify for further processing.
What is Appify and how is it used in the automation?
-Appify is a tool that allows users to scrape the web, including platforms like Instagram and YouTube. In the automation, it is used to process the exported conversation from GPT 40 and extract the necessary information.
Can you explain the role of the 'bracket guy' in the automation process?
-The 'bracket guy' is a term used for a GPT agent that formats the exported conversation URL from GPT 40. It removes the brackets and provides a clean URL that can be used in the Appify automation without breaking the scraper.
What does the video creator suggest as a destination for the final output of the automation?
-The video creator suggests using Google Docs as a destination for the final output of the automation, where the conversation can be transformed into a productivity tracker or a to-do list.
How does the video demonstrate the real-time conversation capability of GPT 40?
-The video demonstrates the real-time conversation capability of GPT 40 through a live demo where the speaker interacts with the model on stage, discussing how to calm nerves before a live demo.
What are some of the use cases mentioned for the GPT 40 automation?
-Some of the use cases mentioned for the GPT 40 automation include creating social media posts, generating productivity lists, and automating the creation of emails or other content based on the conversation with the model.
What is Anthropic Claude and how does it contribute to the automation?
-Anthropic Claude is an AI model that is used in the automation to process the conversation data and transform it into a structured format like a to-do list. It is chosen for its ability to provide better responses in terms of language processing.
What are the cost considerations for running the GPT 40 automation?
-The cost considerations for running the GPT 40 automation include the need for access to GPT 40 through OpenAI, the use of Appify which is free up to a certain usage limit, and possibly the use of Anthropic Claude which requires API credits.
How can one access the automations and resources mentioned in the video?
-To access the automations and resources mentioned in the video, one can join the video creator's school community where all the materials, including blueprints and files, are made available for members.
Outlines
🚀 Launch of GPT 40 and Automation Demonstration
The speaker introduces the launch of GPT 40 and outlines a new automation process that extracts conversational data from interactions with the model. The automation can generate social media posts, productivity lists, and more based on the extracted information. The video will demonstrate how to build this automation step by step, emphasizing its real-time conversational capabilities and the ability to improve ideas through interaction. The speaker, Jack, invites viewers to access more automations through his school community.
🛠 Building the Automation with GPT 40 and Appify
The process begins with downloading the GPT app and initiating a conversation. The conversation is then exported and sent to a platform like Slack. From there, the data is modified and sent to Appify, a tool for web scraping. The speaker details the challenges of exporting data and introduces a workaround involving an additional GPT agent referred to as 'bracket guy' to format the URL correctly. The use of Appify is explained, highlighting its capabilities for scraping various websites and social media platforms.
🔗 Integrating Appify with Make.com for Data Scraping
The speaker explains how to integrate Appify with Make.com, a no-code automation platform. This involves creating tasks in Appify, such as using the Puppeteer scraper, and setting up triggers in Make.com to watch for when the scraper runs and to retrieve the data. The process is detailed, including how to input JSON data into Make.com and link it with the Appify scraper to automate the data retrieval from a URL.
📈 Setting Up Data Collection and Processing with Make.com
The video script describes setting up Make.com to collect and process data from Appify. This includes using the 'watch actor runs' feature to monitor when the Appify scraper completes its task and then retrieving the data using Make.com modules. The speaker also explains how to use an iterator and a text aggregator to prepare the data for further processing by a language model.
🤖 Utilizing Anthropic Claude for Task Prioritization
The speaker discusses using Anthropic Claude, a language model, to transform the conversation data into actionable to-dos with clear priorities. The process involves providing the model with a prompt to act as a productivity assistant, which then formats the list of tasks with individual context and priority levels. The aim is to simplify complex conversations into organized, prioritized lists that help users stay on top of their responsibilities.
📝 Automating the Completion of Tasks with Google Docs
The final part of the automation involves taking the prioritized to-do list generated by Anthropic Claude and inserting it into a Google Doc. The speaker demonstrates how to set up the automation to append the text output from Claude into a specified Google document, effectively creating a productivity tracker from the initial conversation with GPT 40. The potential applications of this automation are vast, and the speaker encourages viewers to share their ideas for using the technology.
❓ Seeking Feedback on the Automation's Utility
In the concluding part of the script, the speaker asks the audience for feedback on how they would use the demonstrated automation and what kind of tasks or projects they would apply it to. The speaker expresses enthusiasm for the potential of the automation and invites viewers to share their thoughts and ideas, fostering a community of users who can benefit from and contribute to the technology.
Mindmap
Keywords
💡GPT 40
💡automation
💡conversation
💡productivity lists
💡real-time
💡Appify
💡Anthropic Claude
💡Slack
💡Google Docs
💡Puppeteer scraper
Highlights
GPT 40 has launched with an incredible automation feature that can transform conversations into actionable tasks.
The automation can be used for creating social media posts, productivity lists, and more.
Real-time conversation with GPT allows for idea generation and improvement collaboratively.
A step-by-step guide is provided to build the automation from scratch.
The technology enables the extraction of model responses and conversion into desired outputs.
The demo showcases a conversation with GPT that helps calm nerves before a live demo.
The GPT app's audio capabilities are introduced with a live interaction example.
The automation process involves exporting chat conversations and integrating with platforms like Slack.
Appify is highlighted as a powerful tool for web scraping and automation.
A workaround is presented for extracting data from chat URLs that are typically inaccessible.
The use of Anthropic Claude is suggested for better language responses.
A productivity tracker is created from the conversation outputs, organizing tasks by priority.
The automation is cost-effective, with the entire process costing as low as 1 cent.
GPT 40 offers improved multilingual support and vision capabilities.
The final automation integrates various tools and platforms to create a comprehensive productivity solution.
The video concludes with a live demonstration of the automation populating a Google Doc with a to-do list.
Invitation to join the community for further resources and support in utilizing the automation.
