ChatGPT Emacs Integration Course

🚀 Build a Fully Functional Emacs Package From Scratch

💲 Price: $119 (VAT may apply at checkout based on your location)

🎓 Start Learning with 3 Free Lessons ― Unlock Them Below! 🔑

Hi there! 👋 I'm Tony Aldon, a passionate Emacs enthusiast dedicated to helping you master Emacs and Emacs Lisp.

Join me on an exciting journey with the ChatGPT Emacs Integration Course and master the art of building a fully functional Emacs package from scratch. 🌟 Through 18 engaging lessons and 2.5 hours of hands-on video content, you'll:

• Master Emacs Lisp: 🛠️ Customize and extend Emacs like a pro.
• Integrate ChatGPT Seamlessly: 🤖 Enhance your workflow with advanced AI features using the OpenAI API.
• Stand Out with Manual AI Integrations: 🌐 Gain skills that set you apart from other Emacs and AI enthusiasts.

✨ This is a unique opportunity. Enroll now and take your Emacs experience to the next level! 🚀

💲 Price: $119 (VAT may apply at checkout based on your location)

It can help if you know a little bit of Emacs Lisp, but this is not a requirement as we'll meticulously write, review, and comment on each line of code. 📝

As a bonus, you'll receive the Eden package ― a professional-grade ChatGPT integration for Emacs ― absolutely free! 🎁

Enroll now with confidence, backed by our 30-Day Money-Back Guarantee 🛡️, and join hundreds of satisfied Emacs users who have already trusted me to improve their workflow and productivity. 📈

👤 About Me

I'm Tony Aldon, a passionate Emacs enthusiast dedicated to helping you master Emacs and Emacs Lisp through the ChatGPT Emacs Integration Course. 💡 With over 150 video tutorials and articles, and having spoken twice at EmacsConf, I've made it my mission to make Emacs accessible and enjoyable for everyone, whether you're just starting or looking to deepen your expertise.

🤝 Join a Community of Emacs Enthusiasts

By enrolling in this course, you'll join hundreds of enthusiastic Emacs users who have trusted me to help them improve their Emacs workflow and master Emacs Lisp. 🌍

🔥 Unlock advanced Emacs features. Enroll now and boost your productivity! 📈

🗣️ What Others Are Saying

Nothing makes me happier than hearing how my tutorials have helped fellow Emacs users. 💬 Here are some of the awesome feedback I've received over the years:

"OK, Tony. I've just finished watching all 14 of your org table video, and they were fantastic. Very information-dense, little ceremony. I've been using org tables a lot for the last 13 years, and I learned many tricks I did not know about. Many thanks." ― @danieldoherty5034 (Org Table Playlist)

"Thank you for posting these videos on Emacs-Lisp! I find them incredibly useful and they complement the built-in E-Lisp manual really well." ― @cattmampbellvideo (Minibuffer Elisp Series)

"I've really enjoyed reading your posts lately. Thanks for making them, they're exceptionally useful and I find myself exploring emacs functionality that I never would have found on my own." ― @mattaccount (Emacs Lisp Articles)

"Thank you for the work you put into all of your posts. Always learning something new." ― @Walheimat (Emacs Lisp Articles)

"Great video, I love the format: useful tips, straight to the point, increasing complexity. Well done!" ― @emodario (Inside Emacs Series)

"Thanks for your videos, they're very useful to start playing around with elisp." ― @francescorci6709 (Emacs Lisp Videos)

"Nice one! Your series really shows the spirit of Emacs, improving things with just a bit of code." ― @georgH (Minibuffer Elisp Series)

"Your videos are fantastic! I've watched each one of them many times. Please keep up the great work! I look forward to your future content." ― @bojinless (Inside Emacs Series)

"That was awesome, love the step by step explanation." ― @DanGNU (Inside Emacs Series)

🎯 Who This Course is For

This course is perfect for any Emacs user who wants to dive into Emacs Lisp and start building their own custom packages. 🛠️ Whether you're excited to integrate ChatGPT by hand or simply want more control over your Emacs setup, you'll find everything you need here.

✅ If You:

• Want to learn Emacs Lisp by building a real-world project
• Dream of creating your own Emacs packages
• Want to integrate ChatGPT manually into your workflow
• Desire to customize Emacs without waiting for others to develop the tools you need
• Are excited about working with cutting-edge technology like ChatGPT

🎉 Then This Course is for You!

No deep Emacs Lisp knowledge? No problem! 🙌 If you know how to evaluate an expression and are willing to learn, you're all set. You'll not only gain the skills to customize Emacs to fit your exact needs but also get hands-on experience with ChatGPT, one of today's most transformative technologies. 💡

✨ This is a unique opportunity. Enroll now and take your Emacs experience to the next level! 🚀

🏆 What You'll Achieve

By the end of this course, you'll:

• 📚 Master Emacs Lisp: Gain a comprehensive understanding of Emacs Lisp by building a fully functional ChatGPT integration package from the ground up. This foundational knowledge will empower you to customize and extend Emacs confidently.
• 🔗 Seamlessly Integrate ChatGPT into Emacs: Learn how to incorporate ChatGPT into your Emacs workflow using the OpenAI API. Enhance your productivity with advanced AI functionalities directly within your favorite editor.
• ⚡ Handle Asynchronous Processes Efficiently: Understand how to manage asynchronous processes in Emacs, allowing you to interact with external APIs like OpenAI without disrupting your workflow. This skill ensures smooth and responsive integrations.
• 🔐 Securely Manage Your API Keys: Implement best practices for storing and handling your OpenAI API keys securely using Emacs's ~/.authinfo and ~/.authinfo.gpg files. 🔒 Protect your sensitive information while leveraging powerful AI tools.
• 🛠️ Implement Robust Error Handling: Develop the ability to gracefully handle API errors and unexpected responses. 🛡️ Ensure your Emacs integrations are reliable and maintainable, providing a seamless user experience.
• 🎨 Customize and Enhance Your Emacs Environment: Create personalized buffers, mode-line widgets, and history features to tailor Emacs to your specific needs. 🖌️ Build a more intuitive and efficient workspace that adapts to your workflow.
• 📜 Maintain a Comprehensive Request History: Utilize Emacs's ring package to keep track of your interactions with ChatGPT. Easily navigate through previous prompts and responses, enhancing your ability to reference and build upon past conversations.

🛠️ Build Your Own chatgpt.el Package

In this course, we'll build chatgpt.el, a package that lets you send prompts to ChatGPT directly from Emacs using the OpenAI API. 🖥️ Simply call the chatgpt command, enter your prompt in the dedicated buffer, press C-c C-c, and receive your response in an appended buffer seamlessly.

✨ Key Features of chatgpt.el

Beyond its simplicity, chatgpt.el offers these key features:

• Easy API Integration: 🔗 Automatically retrieves your OpenAI API key from ~/.authinfo.gpg for secure storage or from the plaintext ~/.authinfo file, simplifying the setup process.
• Markdown Support: 📝 Formats responses in Markdown for enhanced readability and easy integration into your notes and documentation.
• Prompt History: 📜 Keeps track of your previous prompts, allowing you to navigate back and forth through your request history effortlessly using M-p and M-n.
• Request Logging: 🗂️ Saves all requests and responses in a designated directory, efficiently organizing your interactions with ChatGPT for easy reference and review.

✨ Don't miss out! Enroll today and elevate your Emacs skills. 🎓

🗂️ Comprehensive Course Content

The course includes 2.5 hours of video content spanning 18 lessons 🎥, complemented by a PDF version 📄. Each video lesson comes with its own PDF and Emacs Lisp file containing the code used in the lesson. This comprehensive approach caters to different learning styles, allowing you to follow along visually, reference written materials, and experiment with code hands-on. 🧑‍💻

✨ This is a unique opportunity. Enroll now and take your Emacs experience to the next level! 🚀

📋 Course Overview

0. 🏁 Kickoff: Building Your Own chatgpt.el Package ― 3m39s

Welcome aboard! 🎉 In this course, we're diving into the awesome world of Emacs and ChatGPT by building our very own chatgpt.el package. Over the next 18 lessons, we'll take you step-by-step through the process, turning you into a pro at integrating ChatGPT right into your Emacs environment.

1. 📨 First Request to OpenAI Using the Chat Completion API ― 6m31s

We kick things off by sending our very first request to OpenAI using the curl command. 📡 It's like chatting with ChatGPT right from your terminal! We'll craft a simple JSON request, send it off, and see how ChatGPT responds. This gets us familiar with the basics of the Chat Completion API.

1. Adding funds to Your credit balance on OpenAI Developer Platform
2. Creating an API Key on OpenAI Developer Platform
3. First Request to OpenAI Using the Chat Completion API

👉 Get the free PDF of this lesson

2. 🌊 Chat Completion Streaming API ― 2m56s

Next, we explore how to receive responses from OpenAI as a continuous stream. Instead of waiting for the full reply, we get it in real-time chunks ― perfect for creating more dynamic and responsive interactions. We'll tweak our curl commands to handle streaming and watch the magic happen. ✨

1. Curl Request Using a JSON File
2. Chat Completion Streaming API

3. 🛠️ Developer and System Messages ― 4m11s

Here, we learn how to customize our interactions by tweaking developer and system messages. 📝 Want ChatGPT to respond in Spanish or follow specific guidelines? We've got you covered. It's all about setting the right instructions to shape ChatGPT's replies just the way you want them.

1. Developer and System Messages Overview
2. Replying in Spanish with More Constraints

4. 💬 Assistant Messages ― 3m54s

Maintaining a flowing conversation is key! In this lesson, we dive into using assistant messages to keep the context alive across multiple turns. 🔄 It's like having a back-and-forth chat where ChatGPT remembers the conversation ― super handy for more natural and coherent dialogues!

1. Independent Requests
2. Example Conversation
3. Continuing the Dialogue
4. Building Context
5. Final Response
6. Conclusion

5. 🖥️ The Basics of make-process ― 12m50s

Time to get our hands dirty with Emacs Lisp! 🧑‍💻 We introduce the make-process function to run shell commands asynchronously within Emacs. This powers our ability to send requests to OpenAI without freezing up Emacs. We'll learn how to execute commands and handle their output smoothly.

1. Executing Commands with make-process
2. The Process Object
3. Executing Commands with Pipes Using make-process
4. Process Sentinel Overview
5. Branching on the Event Types in the Process Sentinel
6. Printing the Process Buffer Content in the Echo Area
7. Redirecting Process Buffer Content to Another Buffer

6. 📤 First Request to OpenAI From Emacs Lisp ― 8m29s

Building on what we've learned, we now send our first OpenAI request directly from Emacs Lisp. 🚀 No more switching to the terminal! We automate the curl command inside Emacs, making our workflow seamless and integrated. Let's see how Emacs can talk to ChatGPT effortlessly.

1. Review of The Last Lesson
2. Renaming The Process Name and Process Buffers
3. Killing The Process Buffers
4. Sending our First OpenAI Request from Emacs Lisp
5. Defining chatgpt-send Command in chatgpt.el File

👉 Get the free PDF of this lesson

7. 🔄 Refactoring chatgpt-send and Introducing chatgpt-api-key ― 6m03s

Let's tidy up our code! 🧹 We refactor the chatgpt-send function for better organization and introduce a dedicated variable for our OpenAI API key. Clean code is happy code, and keeping our API keys secure is a top priority. We'll streamline our package for smoother operations.

1. Refactoring chatgpt-send with chatgpt-command
2. Introducing chatgpt-api-key to hold OpenAI API Key
3. Updating chatgpt-command Function Signature

8. 🔧 Making the Prompt Dynamic in Requests ― 8m32s

No more static prompts! 🔄 We make our requests dynamic by pulling prompts from the current buffer. Whether you're brainstorming ideas or asking questions on the fly, ChatGPT's got your back. We'll adjust our functions to handle any input you throw its way.

1. Writing a JSON Object to a File
2. Writing the OpenAI Request to a File
3. Updating chatgpt-send
4. Entering the Prompt from a Buffer

9. 🖋️ Formatting Requests and Responses in Markdown ― 9m41s

Let's make things look pretty. 🎨 We learn how to parse JSON responses and format them using Markdown within Emacs. Your chats with ChatGPT will be not only functional but also beautifully organized and easy to read. Markdown magic makes all the difference!

1. Parsing and Returning a JSON Object with json-read
2. Accessing Elements in a Nested Structure with map-nested-elt
3. Inserting the Assistant Response instead of the JSON Response
4. Formatting with markdown-mode

10. 💾 Saving Requests to Disk ― 12m08s

Keeping a history is crucial! 📚 We set up our package to save every request and response to organized directories on disk. With timestamped files, we can easily browse through past interactions. It's like having a personal chat log with ChatGPT right in Emacs.

1. Refactoring chatgpt-send with chatgpt-request
2. Refactoring chatgpt-send with chatgpt-callback
3. Saving Requests
4. Saving Responses
5. Refactoring chatgpt-send with chatgpt-json-encode
6. Adding Links to Request Directories

11. 🗂️ The Prompt Buffer ― 16m57s

We set up the *chatgpt* buffer to enter our prompts, positioning it neatly at the bottom of the frame for easy access. 🖥️ By defining chatgpt-mode, we customize this buffer's behavior and appearance, making it the perfect spot to interact with ChatGPT seamlessly within Emacs.

1. Displaying the Prompt Buffer with chatgpt
2. Defining chatgpt-mode
3. Introducing chatgpt-model Variable
4. Mode Line of the Prompt Buffer
5. Executing chatgpt-mode Once
6. Creating chatgpt-dir in chatgpt-mode
7. Defining chatgpt-mode-map keymap

12. 📥 Making the Response Buffer Pop Up Upon Receipt ― 11m22s

Now that we can send prompts, we want to see responses immediately! 👀 We tweak our functions so that once ChatGPT replies, the *chatgpt[requests]* buffer pops up automatically. No more hunting for responses ― we get them right where we need them, enhancing our workflow efficiency.

1. Refactoring chatgpt-send into chatgpt-send-request
2. Deleting The Prompt Buffer window
3. Ensuring the Response Buffer is Displayed
4. Adding Notifications

13. 🛠️ Handling API Errors ― 11m10s

Oops! 😅 Sometimes things go wrong. We equip our package to gracefully handle API errors from OpenAI. Whether it's a wrong model or a connection hiccup, we catch these errors, display meaningful messages, and log them for future reference. This makes our integration robust and reliable.

1. Signaling API Errors
2. Saving API Errors
3. Signaling and Saving Process Errors

14. 🕒 Timestamp Files ― 9m21s

To keep our history neat, we start using timestamp files for each request. 🕰️ These little helpers help us sort and manage our interactions chronologically without any hassle. It's all about staying organized and making history navigation a breeze.

1. Purpose of Timestamp Files
2. Writing Timestamp Files
3. Defining the chatgpt-timestamp Function
4. Defining the chatgpt-requests Function

15. 🔄 Overview of the Ring Package ― 7m16s

Enter the world of rings! 💍 We explore Emacs's built-in ring package to manage our prompt history efficiently. Rings are perfect for handling recent interactions, allowing us to cycle through prompts effortlessly. It's a neat way to keep track of our requests.

1. Creating Rings and Inserting Elements
2. Accessing Ring Elements

👉 Get the free PDF of this lesson

16. 📜 Implementing Prompt History Feature ― 17m43s

Now, we put rings into action by adding a prompt history feature. 🔄 With simple shortcuts like M-p and M-n, we can navigate through our past prompts with ease. It's all about making our interactions with ChatGPT faster and more intuitive.

1. Binding M-p and M-n in chatgpt-mode-map
2. Defining chatgpt-history and chatgpt-push
3. Implementing the chatgpt-previous Command
4. Handling Empty chatgpt-history
5. Initializing chatgpt-history from Disk
6. Refactoring for Clean Code

17. ⏳ The Waiting Widget ― 3m56s

Who doesn't love feedback? 😊 We create a nifty waiting widget in the mode line that flashes while we wait for ChatGPT's response. It's a visual cue that something awesome is happening in the background ― no more guessing if your request went through!

18. 🔐 Managing the API Key ― 4m16s

Security time! 🔐 We learn how to handle our OpenAI API key securely using Emacs's ~/.authinfo and ~/.authinfo.gpg files. Keeping secrets safe is crucial, and we make sure our key is tucked away securely, accessible only when needed.

1. Redefining the API Key Variable
2. Modifying the chatgpt-command Function
3. Adding the API Key to ~/.authinfo File
4. Restarting Emacs for Changes to Take Effect
5. Testing the Setup

✨ This is a unique opportunity. Enroll now and take your Emacs experience to the next level! 🚀

📈 Elevate Your Emacs Proficiency Today

Don't miss out on this exclusive opportunity to elevate your Emacs skills and harness the power of AI, giving you a distinct advantage in today's competitive tech landscape. 🌟

💲 Price: $119 (VAT may apply at checkout based on your location)

🛡️ Risk-Free Enrollment

Plus, our 30-Day Money-Back Guarantee ensures that you can enroll with confidence and begin transforming your Emacs workflow risk-free. 💸

💲 Price: $119 (VAT may apply at checkout based on your location)

✨ Join risk-free today! Enroll now and elevate your Emacs experience with our 30-Day Money-Back Guarantee. 🎁

🎁 Exclusive Bonus: ChatGPT-Powered Eden Package

By enrolling in this course, you'll receive the Eden package for free ― a professional-grade ChatGPT integration designed for Emacs users craving a clean, text-focused interface that adapts to various workflows. 🌿

Building upon the foundational chatgpt.el package you'll create during the course, Eden seamlessly facilitates branching conversations making it the perfect tool for effective thinking and brainstorming. 🧠

Eden's interface is simple:

• ✔️ You want to ask something to ChatGPT, call eden command, enter your prompt, press C-c C-c and you're done.
• ✔️ You want to integrate the response in your org-mode notes, just copy/paste it.
• ✔️ You want to manage your configuration, call eden and explore the options in its transient menu.

Eden strikes the perfect balance by focusing on conversations without enforcing them; defaulting to independent requests, it makes starting new conversations or continuing from previous ones easy!

Another key feature of Eden is its ability to keep track of all your interactions with ChatGPT like chatgpt.el. 📚 Each request is stored in the eden-dir directory, providing a range of benefits:

1. Requests are always preserved, ensuring you can retrieve them at any time. 🗄️
2. Should an error occur during processing, the corresponding error.json file can be consulted for troubleshooting. 🛠️
3. All data is stored in JSON (or text format), facilitating integration with other software for further analysis. 🔍

It also offers other advanced features such as:

• System Messages: 🛠️ Customize and direct ChatGPT's responses through predefined system-level instructions.
• Compatibility with All OpenAI-Compatible APIs: 🌐 Integrates with various models, including the deepseek-r1 model for enhanced reasoning and Perplexity for advanced web search capabilities.

🔥 Secure your spot today and master Emacs like never before. 🏅

❓Frequently Asked Questions (FAQ)

👋 Got some questions about the ChatGPT Emacs Integration Course? You're in the right place! 🎯 Check out the answers below, and if you need more info, don't hesitate to reach out. 📩

1. What is the cost of the course? 💸

The ChatGPT Emacs Integration Course is priced at $119. Please note that VAT may apply at checkout based on your location. This ensures compliance with regional tax laws and provides a seamless purchasing experience.

2. Is there a money-back guarantee? 💸

Absolutely! 🎉 We offer a 30-Day Money-Back Guarantee. If you're not totally satisfied with the course within the first 30 days, just let us know, and we'll refund your money―no questions asked. It's risk-free! ✅

3. Do I need an OpenAI API key? 🔑

Yes, you'll need an OpenAI API key to fully integrate ChatGPT with Emacs. But don't worry―we cover how to set it up right in the first lesson. 📝 We'll guide you through the process step-by-step so you can get started without any hassle. 🚀

4. How much does using the OpenAI API cost? 💰

Good news! 🎊 The recording of this course only cost about $0.10 in OpenAI API calls. That means you can build and run your chatgpt.el package without breaking the bank. 💵

5. What if something isn't clear in the course? 🤔

No worries at all! 🙌 If you ever find something confusing or need a bit more clarity, just send me a message. 📬 I'm here to help you figure things out and ensure you have a smooth learning experience. We've got your back! 😊

6. Do I need to know Emacs Lisp? 🖥️

No problem! 🙌 If you know how to evaluate an expression and are willing to learn, you're all set to dive in. Don't have Emacs Lisp experience? No worries! 😎 Check out my quick 2-minute video to get started:How to Evaluate an Expression in Emacs Lisp for Beginners 🎥

Still have questions? 🤷‍♂️ Feel free to contact me anytime, and I'll be happy to help you out. Let's make your Emacs setup awesome together! 💪

Ready to transform your Emacs workflow with AI? 🤖 Enroll Now and get started today! 🚀