Key insights

• ⚙️ New automation tool for real-time conversations with GPT 40, extracting conversation and automating tasks like social media posts and productivity lists
• 💡 Using GPT 40 to brainstorm and improve ideas
• 📤 Exporting conversation to platforms like Slack, modifying, and running it through Appify
• 🔍 Appify's ability to scrape the web, iterate through tools, and create productivity trackers
• 🤖 No-code automation platform for building automation
• 🤖 Creating a GPT agent to handle brackets in messages
• 🔌 Integrating Appify with API for automation
• 📊 Productivity assistant language model analyzes conversations and transforms them into actionable to-dos

Q&A

• How does the productivity assistant language model work?

  The productivity assistant language model analyzes conversations, transforms them into actionable to-dos, and organizes them into prioritized lists for users to take action and stay organized. This involves extracting, formatting, and automating tasks to ultimately generate a full productivity tracker.

• What tools are involved in automating and integrating data for language models?

  Automation and integration of data for language models can be done using tools like API keys, GPT models, Appify, and Clae. Additionally, users can set up text aggregators and iterators for data manipulation, select preferred language models, adjust parameters like Max tokens and content type, and integrate Clae with the automation using settings and API keys.

• How can I integrate Appify with API and use the obtained data?

  You can integrate Appify with API for automation, create and run tasks using the Puppeteer scraper, access and use the obtained data, and even send a message to Slack once the process is complete.

• What is Appify and its scraping capabilities?

  Appify is a web scraping platform that extracts information from various platforms like Google, YouTube, and Instagram. It offers a marketplace with various web scrapers, including the Puppeteer scraper for automation, which provides $5 of free usage per month.

• How can I handle brackets in messages using GPT?

  You can create a GPT agent to handle brackets in messages. Additionally, the GPT 40 model is suitable for short prompt processing.

• What tools are used for automating conversations and tasks?

  The process involves using a no-code automation platform, OpenAI's GPT-3, Appify, and chat GPT or Anthropic. Google Docs is also utilized for exporting conversations to a platform like Slack.

• 00:00 A new automation tool allows users to have real-time conversations with GPT 40, extract the conversation, and automate various tasks such as creating social media posts and productivity lists.
• 04:48 The speaker discusses automating tasks using no-code automation platform and various tools like OpenAI's GPT-3, Appify, and chat GPT or Anthropic. The process involves having a conversation, exporting it to a trigger platform like Slack, and resolving the URL issue.
• 09:25 The video segment discusses creating a GPT agent to handle brackets in messages and utilizing a web scraping platform called Appify, with a focus on Puppeteer scraper for automation.
• 14:28 The segment discusses integrating Appify with API, creating and running tasks in Appify, accessing and using the data obtained, and sending a message to Slack once the process is complete.
• 19:49 Automating and integrating various tools to extract, process, and analyze data for language models using an API key, GPT models, Appify, Clae, and setting up text aggregators and iterators for data manipulation.
• 24:54 A productivity assistant language model is used to analyze conversations and transform them into clear actionable to-dos, organized into prioritized lists. The process involves extracting, formatting, and automating tasks, ultimately generating a full productivity tracker. The video segment showcases the use of this automation and encourages viewers to share how they would use it.