I Paid ChatGPT Operator $200 to Build My Business (Full Results)

Key Concepts

• AI Agents (Operator)
• Retail Arbitrage
• Facebook Marketplace
• eBay
• Cold Emailing
• Product Sourcing
• Prompt Engineering
• Automation
• AGI (Artificial General Intelligence)

Using Operator for Retail Arbitrage

• Objective: Find undervalued items on Facebook Marketplace and resell them on eBay for profit.
• Prompt Example: "Find a Gne pizza oven in any market on Facebook Marketplace that is grossly undervalued when compared to the same model of pizza ovens listed for sale in any market. They need to be willing to ship to me."
• Process:
  1. Operator searches Facebook Marketplace based on the prompt.
  2. It identifies potential listings and logs them into a Google Sheet, including title, location, condition, and link.
  3. The user can then instruct the operator to make offers on their behalf.
  4. Example: "Go ahead and offer half price for all of these and state that I can pay cash."
• Challenges:
  • Facebook's API can be inconsistent, leading to failures in messaging.
  • Requires careful prompt engineering to achieve desired results.
• Potential: Building a six or seven-figure business by automating the Arbitrage process.
• Example: Buying DVD box sets in Canada (using Canadian dollars) and selling them in the United States (for American dollars) on eBay.

Using Operator for Catering Quote Acquisition

• Objective: Automate the process of obtaining catering quotes for a wedding.
• Prompt Example: "I'm hosting a wedding and need catering quotes for 50 people, steak plus two sides in Dallas, Texas. Reach out to caterers on The Knot.com and tell them all this to get a per-head quote."
• Process:
  1. Operator navigates to The Knot.com and searches for caterers in the specified area.
  2. It fills out contact forms with the provided details (name, email, etc.).
  3. It crafts a message based on the prompt and submits the form.
• Observations:
  • Operator can intelligently fill in missing information, such as a tentative wedding date.
  • It can be instructed to modify the tone of the message, although results may vary.
  • The "move faster" prompt can significantly increase the speed of the process.
• Real-World Application: Saving time and money by automating the tedious task of contacting multiple vendors.

Using Operator for Product Sourcing from China

• Objective: Find trending items on AliExpress (or a comparable site) and request free samples from vendors.
• Prompt Example: "Go to AliExpress and find trending items on the homepage and message 10 vendors of one of those items asking for a free sample to be shipped to Texas."
• Process:
  1. Operator navigates to AliExpress (initially failed, then switched to banggood.com).
  2. It identifies a trending item (earbuds in this case).
  3. It drafts a message requesting a free sample and submits it to the vendor.
  4. It creates an account on the website, including generating a password.
• Challenges:
  • Website accessibility issues (initially couldn't access AliExpress).
  • Chinese website user interfaces can be difficult to navigate.
• Potential: Automating the process of finding new products and vendors for e-commerce businesses.

Key Arguments and Perspectives

• Chris Corner: Believes that Operator represents a significant advancement in automation and Arbitrage, despite its current limitations. He emphasizes the importance of getting "hands-on" and experimenting with the tool to understand its capabilities.
• Greg: Highlights the potential of Operator to revolutionize various business processes, from retail Arbitrage to lead generation. He sees it as a glimpse into the future of AGI and its impact on the world.
• Counter-Arguments: Some users may dismiss Operator as "slow" or "buggy," but the speakers argue that these criticisms are short-sighted, given the early stage of the technology.

Notable Quotes

• Chris Corner: "It's literally a robot that is surfing the internet and doing things for you."
• Greg: "This is one of the greatest Arbitrage moments in business that we've ever seen."
• Chris Corner: "I'm going to be very blunt and direct and just keep commanding it to do what I want."

Technical Terms and Concepts

• AI Agent (Operator): An AI-powered tool that can automate tasks on the internet, such as searching for information, filling out forms, and sending messages.
• Retail Arbitrage: The practice of buying products at a low price in one market and selling them at a higher price in another market.
• Prompt Engineering: The process of designing effective prompts to guide the behavior of AI models.
• AGI (Artificial General Intelligence): A hypothetical type of AI that can perform any intellectual task that a human being can.
• LLM (Large Language Model): A type of AI model that is trained on a massive amount of text data and can generate human-like text.
• VPN (Virtual Private Network): A technology that allows users to create a secure connection to another network over the Internet.

Logical Connections

The video explores three different use cases for Operator: retail Arbitrage, catering quote acquisition, and product sourcing. Each use case demonstrates the potential of the tool to automate various business processes and save time and money. The speakers also discuss the challenges and limitations of Operator, as well as the best practices for prompt engineering.

Data, Research Findings, or Statistics

• The earbud market is poised for a 4.2% CAGR (Compound Annual Growth Rate) over the next 10 years, according to Apple's S9.

Synthesis/Conclusion

The video provides a practical demonstration of the capabilities of Operator, an AI agent that can automate tasks on the internet. While the tool has its limitations, it represents a significant advancement in automation and has the potential to revolutionize various business processes. The key takeaways are the importance of prompt engineering, the potential for retail Arbitrage, and the glimpse into the future of AGI. The speakers encourage viewers to experiment with Operator and explore its potential applications.