How to Create Advanced GPTs For Your Website (Custom Actions w/ Assistants API) | Summary and Q&A

TL;DR

Learn how to build a powerful lead generation chatbot using the OpenAI Assistant API and integrate it into any website.

Key Insights

• 👻 The OpenAI Assistant API allows businesses to create custom GPTs and integrate them into various applications and websites.
• 🥺 Lead generation chatbots can provide valuable information to potential customers and capture leads for businesses.
• 🔠 The use of APIs like the Google Solar API and geocoding API enhances the functionality of the chatbot.
• 🥺 Airtable can be used as a CRM to store lead information captured by the chatbot.
• 🏛️ Voiceflow is a powerful tool for building and deploying chatbot applications.
• 🛟 Deployment of the chatbot application to a production server requires additional steps and configurations.
• ⚾ The chatbot can be customized by modifying the prompts, knowledge base document, and functions.
• ⚡ The chatbot can be embedded into any website using a script tag.

Transcript

in this video I'll be showing you step by step how to create an insanely powerful lead generation custom GPT with multiple custom actions and add it to any website if you're watching this you've probably already created some awesome gpts within the chat GPT Builder but you want to break them out of the chat GPT site and start using them in the real... Read More

Questions & Answers

Q: What is the purpose of this video tutorial?

The purpose of this video tutorial is to teach viewers how to create a powerful lead generation chatbot using the OpenAI Assistant API and integrate it into a website.

Q: Can the chatbot answer questions about solar panels?

Yes, the chatbot can answer questions about solar panels by querying a knowledge base document containing information on solar panels for single-family homes.

Q: How does the chatbot calculate potential solar savings?

The chatbot calculates potential solar savings by taking the user's address and monthly electricity bill, sending it to the Google Solar API, and providing a breakdown of savings and incentives.

Q: How does the chatbot capture lead information?

The chatbot captures lead information by asking for the user's name and phone number, which is then saved to an Airtable CRM for follow-up.

Summary & Key Takeaways

• This video tutorial shows step-by-step instructions on creating a custom GPT using the OpenAI Assistant API and adding it to a website.

• The lead generation chatbot allows users to ask questions about solar panels and calculate potential solar savings based on address and monthly electricity bill.

• The chatbot can capture user information as leads and store it in an Airtable CRM for follow-up.