Customer Support with ChatGPT / AI

Learn to build a no-code customer support chatbot for a website, connect it to Facebook via Zapier, and use Chatbot Disco built on ChatGPT for AI-powered support, plus a quiz.

Learn to automate customer support with a ChatGPT-based chatbot, connect data sources like PDFs, websites, and Q&A, and deploy across channels for scalable help.

Build and deploy a real-world customer support chatbot for Data Blues by training on website data and PDFs, testing prompts, and embedding on a public site.

Upload the PDF state of AI by Mackenzie from the lecture resources and build a chatbot using the provided file, following the methods demonstrated in the previous lectures.

Build a chatbot that analyzes a document and lets you chat with it, surfacing sources and impacts. Use prompts to shape answers and explore lead generation.

Connect a chatbot to Facebook Messenger using real company data, and test it to fetch team details and contact information from the page.

Connect your chatbot to Facebook Messenger via Zapier and Chatbase, configure triggers, and deliver Chatbase responses back to users, with lead generation limited to your website.

Discover how to design an AI-based prioritization and filtering ticketing system for customer support, and learn how to deploy, maintain, and use a ChatGPT plugin with Google Sheets.

demonstrate an ai-based prioritization and filtering ticketing system in google sheets, drag and prioritize thousands of tickets by type and urgency via chatgpt calls, in parallel.

Explore a pre-built customer support dataset from Kaggle, with ticket id, customer name, email, product, type, and urgency, and download csv or google sheets versions for building AI-powered support.

Learn to connect ChatGPT to Google Sheets with the GPT for Sheets extension, manage OpenAI API keys, and use GPT formulas to classify, list, and generate ticket data.

Learn how to access data with the ChatGPT API, authenticate with API keys, and understand token-based pricing per 1000 tokens for OpenAI models like GPT-3.5 and GPT-4 in practical use.

Automate your ticketing system by connecting Google Sheets, Zapier, and ChatGPT to classify ticket urgency and auto-update the sheet, with optional Slack alerts for urgent tickets.

Automate ticket routing with Zapier by using GPT to classify tickets into feature, billing, or refund categories, then update a Google Sheet and prioritize by urgency.

Learn what, why, and how to create an AI-based email response system. Build, deploy, and maintain automated email replies using Zapier, Gmail, and ChatGPT, and complete a reinforcing quiz.

Demonstrates building a three-step automation using Zapier, Gmail, and ChatGPT to auto-respond to customer emails and support inquiries, with a flexible model and reusable prompt.

Create an automated email responder by linking Gmail with ChatGPT via Zapier, building a context-aware pipeline that auto replies to inquiries from a support inbox.

Explore building an automated multilingual support system with AI, leveraging automatic translation to service customers worldwide. Learn to build, deploy, and maintain with Zapier, Gmail, and GPT.

Build a fully functional automated email responder that delivers multi-language support, detecting each message’s language and replying in the original language while your support team operates in English.

Discover how to build a fully automated translation ticketing system with Zapier, Gmail, and ChatGPT, featuring language detection, English translation, and Google Sheet updates for seamless support.

Build a multi-language ticketing support workflow by triggering changes in Google Sheets, translating responses with ChatGPT, and sending email replies via Gmail and Zapier.

Learn to build an automated email responder with Zapier, Gmail, and ChatGPT, including configuring exact text, testing steps, and translating subject lines for multilingual customer support.

Explore basic and advanced prompt engineering techniques for customizing AI-powered customer support, including role prompting, few-shot prompting, data analysis, and a quiz on Bard and Bing Chat.

Learn how to navigate ChatGPT: sign up, log in, select a model, manage chats and history, customize settings and beta features, and understand plus plan benefits and custom instructions.

Explore prompt engineering to steer AI responses, test outputs for accuracy, and tailor customer support prompts with context, tone, and iterative refinements.

Learn role prompting and system prompting to guide ChatGPT with explicit role, context, and tasks; combine with iterative and contextual prompting for better gaming customer support responses.

Explore few shot prompting to guide responses using example-based guidance, building on context and role prompting, iterative editing, and practical prompts for higher quality customer support.

Learn InStyle prompting to tailor customer support responses by style, using examples and custom instructions to shape replies in specific voices such as Mario and your company style.

Use custom instructions to tailor customer support with two chat boxes for what to know and how to respond, while enforcing a consistent output style.

Discover advanced ChatGPT features on GPT-4, including image input and DALL-E image generation. Use browsing with Bing for current data, plus data analytics with Excel uploads and Python execution.

Compare Google's Bard AI with ChatGPT, noting Bard's three answer variations, built-in Google search verification, and Gmail login, plus extensions for YouTube and other Google products.

Explore how Bing Chat uses a GPT-4 based model optimized for search, performs live internet search with sources, and offers free access with conversation styles: creative, balanced, precise.

Finish this course by embracing AI-powered customer support and staying current with GPT, Bard, and Bing Chat upgrades, plus Zapier and API integrations for smarter solutions.