How to Create Advanced GPTs For Your Website With Custom Actions Using OpenAI's Assistant API


OpenAI's new Assistant API allows developers to build custom GPT chatbots with advanced functionality like custom actions and tools. This post walks through creating an AI-powered lead gen chatbot for solar companies, with a knowledge base for solar FAQs, a tool to estimate potential solar savings using Google's Solar API, and CRM integration to capture leads. Key takeaways include leveraging Assistant API to break GPTs out of ChatGPT into real-world apps, adding custom actions for more usefulness, and deploying AI assistants anywhere like websites.

Timestamped Highlights

๐Ÿ’ก Demo of completed solar lead gen GPT chatbot with custom calculate solar savings action
๐Ÿ“ Explanation of difference between ChatGPT GPTs and Assistant API GPTs
๐Ÿค– Breakdown of solar chatbot app with knowledge base, custom actions to calculate savings and capture leads
๐Ÿ‘ฉโ€๐Ÿ’ป Walkthrough of code to customize knowledge, instructions, and functions
โš™๏ธ Setting up Google Cloud for Solar API and geo-coding API
๐Ÿคณ Integrating voice flow for deploying GPT chatbot UI
๐ŸŽ‰ Launching chatbot on website with CRM lead capture integration

Key Insights

1. ๐Ÿ˜ฎ
Assistant API allows GPTs to break free from ChatGPT into external apps
2. ๐Ÿ’ช
Custom actions supercharge usefulness through connected tools like solar savings calculator
3. ๐Ÿ’ก
Modularity makes customization easy by changing knowledge docs, prompts, and functions
4. ๐ŸŒ
Deploying with Voiceflow and Assistant API brings AI chatbots to websites
5. ๐Ÿค
Integrations like CRMs combine conversation and automation for powerful lead gen
6. ๐Ÿš€
Assistance API puts no-code custom GPT development into hands of non-coders
7. ๐Ÿญ
Production-grade deployment unlocks constant uptime and scaling beyond basic servers
This blog is a summary of a YouTube video "How to Create Advanced GPTs For Your Website (Custom Actions w/ Assistants API) - YouTube" by Liam Ottley