{"id":20968,"date":"2025-08-19T00:00:00","date_gmt":"2025-08-19T00:00:00","guid":{"rendered":"https:\/\/www.mailgun.com\/blog\/chatgpt-y-email\/"},"modified":"2026-09-15T13:57:07","modified_gmt":"2026-09-15T13:57:07","slug":"chatgpt-y-email","status":"publish","type":"blog","link":"https:\/\/www.mailgun.com\/es\/blog\/email\/chatgpt-y-email\/","title":{"rendered":"\u00bfDeber\u00edas usar ChatGPT para automatizar tu programa de email?"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><b>ChatGPT, do we love it? Do we fear it? Do we <\/b><b><i>need <\/i><\/b><b>it?<\/b> When researching for this post we polled our team internally for their reactions to ChatGPT, and the responses were a mixed bag. As an email service provider, we see the benefits of generative AI \u2013 and that\u2019s what we\u2019ll explore in this post \u2013 but we also want to talk about us, the humans, and how AI is reshaping our internet and our interactions.<\/p>\n\n<p class=\"wp-block-paragraph\">Don\u2019t worry, we\u2019re <i>pretty sure <\/i>this isn\u2019t the end of the world.<\/p>\n\r\n    <nav data-content-type=\"longform\" class=\"toc-block longform-spacings px-5 py-6 px-md-6 px-lg-7 py-md-7 bg-light fs-sm rounded-lg\" aria-labelledby=\"toc-title-7093\"><p class=\"h5 m-0\" id=\"toc-title-7093\">\u00cdndice<\/p><div class=\"d-flex mt-3\"><div class=\"w-auto fw-bold text-accent d-flex me-2\">01<\/div><div class=\"d-flex flex-column\"><a class=\"fw-bold scrollme link-body-color text-accent\" href=\"#what-is-chatgpt\">What is ChatGPT<\/a><a class=\"scrollme link-body-color\" href=\"#what-chatgpt-is-not\">What ChatGPT is not<\/a><\/div><\/div><div class=\"d-flex mt-3\"><div class=\"w-auto fw-bold text-accent d-flex me-2\">02<\/div><div class=\"d-flex flex-column\"><a class=\"fw-bold scrollme link-body-color text-accent\" href=\"#how-does-chatgpt-work\">How does ChatGPT work?<\/a><a class=\"scrollme link-body-color\" href=\"#reinforcement-learning-from-human-feedback\">Reinforcement learning from human feedback<\/a><\/div><\/div><div class=\"d-flex mt-3\"><div class=\"w-auto fw-bold text-accent d-flex me-2\">03<\/div><div class=\"d-flex flex-column\"><a class=\"fw-bold scrollme link-body-color text-accent\" href=\"#three-ai-laws-to-know-before-using-chatgpt-with-your-email-program\">Three AI laws to know before using ChatGPT with your email program<\/a><\/div><\/div><div class=\"d-flex mt-3\"><div class=\"w-auto fw-bold text-accent d-flex me-2\">04<\/div><div class=\"d-flex flex-column\"><a class=\"fw-bold scrollme link-body-color text-accent\" href=\"#how-can-you-use-chatgpt-to-automate-your-email-program\">How can you use ChatGPT to automate your email program<\/a><\/div><\/div><div class=\"d-flex mt-3\"><div class=\"w-auto fw-bold text-accent d-flex me-2\">05<\/div><div class=\"d-flex flex-column\"><a class=\"fw-bold scrollme link-body-color text-accent\" href=\"#should-you-use-chatgpt-to-automate-your-email-program\">Should you use ChatGPT to automate your email program?<\/a><a class=\"scrollme link-body-color\" href=\"#how-using-chatgpt-could-affect-your-deliverability\">How using ChatGPT could affect your deliverability<\/a><a class=\"scrollme link-body-color\" href=\"#ai-and-the-inbox\">AI and the inbox<\/a><\/div><\/div><div class=\"d-flex mt-3\"><div class=\"w-auto fw-bold text-accent d-flex me-2\">06<\/div><div class=\"d-flex flex-column\"><a class=\"fw-bold scrollme link-body-color text-accent\" href=\"#final-thoughts\">Final thoughts<\/a><\/div><\/div><\/nav>\n<h2 class=\"wp-block-heading\">What is ChatGPT<\/h2>\n\n<p class=\"wp-block-paragraph\">Sometimes, it\u2019s better to hear it straight from the horse\u2019s mouth. To kick off this post, we asked ChatGPT to define itself.<\/p>\n    <div data-content-type=\"longform\"  class=\"callout text-body-color px-5 py-6 px-md-6 px-lg-7 py-md-7 longform-spacings rounded-lg bg-light\" data-theme=\"light\">\r\n\r\n        <div class=\"content-body\"> <p><b>Mailgun: <\/b>\u201cWhat are you?\u201d<\/p><p class=\"mb-0\"><b>ChatGPT: <\/b>\u201cI am an AI language model developed by OpenAI. I\u2019ve been trained on a diverse range of internet text and can respond to a wide range of questions and generate text on various topics. I am designed to provide information and respond to user queries to the best of my ability, but I do not have consciousness or personal experiences.\u201d<\/p><\/div>\r\n    <\/div>\r\n\n<p class=\"wp-block-paragraph\">Not bad, but let us dive in with a bit more detail. <a href=\"https:\/\/openai.com\/blog\/chatgpt\/\" target=\"_tabs\" rel=\"noopener noreferrer\"><b>ChatGPT<\/b>\u00a0(<b>Generative Pre-trained Transformer)<\/b><\/a><b> is a chatbot developed by OpenAI launched in November 2022.<\/b> It is built from OpenAI&#8217;s\u00a0<a href=\"https:\/\/en.wikipedia.org\/wiki\/GPT-3\" target=\"_tabs\" rel=\"noopener noreferrer\">GPT-3<\/a>\u00a0family of large\u00a0<a href=\"https:\/\/en.wikipedia.org\/wiki\/Language_model\" target=\"_tabs\" rel=\"noopener noreferrer\">language models<\/a>. ChatGPT is unique because of the way it uses <a href=\"https:\/\/en.wikipedia.org\/wiki\/Reinforcement_learning\" target=\"_tabs\" rel=\"noopener noreferrer\">reinforcement learning<\/a> from human feedback. This allows it to be more conversational and more \u201chuman\u201d in its language sequence patterns, making it possible to influence tone and style more effectively:<\/p>\n    <div data-content-type=\"longform\"  class=\"callout text-body-color px-5 py-6 px-md-6 px-lg-7 py-md-7 longform-spacings rounded-lg bg-light\" data-theme=\"light\">\r\n\r\n        <div class=\"content-body\"> <p class=\"\"><b>Mailgun:<\/b><b>&nbsp;<\/b>\u201cRewrite in a more conversational style and add a relevant joke.\u201d<\/p><p class=\"\"><b>ChatGPT:<\/b><b>&nbsp;<\/b>\u201cHey there! I\u2019m ChatGPT, a super smart AI language model. My job is to help you out with whatever questions or tasks you need assistance with. Think of me like your own personal Siri, Alexa, or Google Assistant!&nbsp;<\/p><p class=\"\">I was created by OpenAI using an advanced machine learning algorithm that taught me how to process and understand natural language. So don\u2019t worry about being too technical with me, I\u2019m pretty much fluent in human-speak.<\/p><p class=\"\">Now, here\u2019s a joke for you: Why was the computer cold? Because it left its Windows open! I know, I know, I\u2019ll stick to answering your questions instead of cracking jokes. What can I help you with today?<\/p><\/div>\r\n    <\/div>\r\n\n<p class=\"wp-block-paragraph\">Before we jump into concepts like reinforcement learning, cement in your mind the idea that <b>ChatGPT is a language learning model<\/b>. AI is the umbrella term describing all generative and predictive machine learning tools. <b>Language models specifically are trained on statistics and use machine learning algorithms, probabilities, and sequences to predict words and responses.<\/b><\/p>\n\n<p class=\"wp-block-paragraph\">This, plus the internal knowledge base it was trained on, is how ChatGPT can provide believable answers to questions without connecting to an internet search engine.<\/p>\n\n<h3 class=\"wp-block-heading\">What ChatGPT is not<\/h3>\n\n<p class=\"wp-block-paragraph\">For our last bit of housekeeping (and then we promise we\u2019ll start dissecting) here are a few of ChatGPT\u2019s limitations. The most important takeaway? <b>ChatGPT is a predictive language model, not an infallible knowledge source.<\/b><\/p>\n\n<ul class=\"wp-block-list\">\n<li>ChatGPT is not currently connected to the internet in terms of retrieving information. In fact, all the information it was trained on is from 2021 and prior.<\/li>\n\n\n\n<li>ChatGPT is not always accurate.<\/li>\n\n\n\n<li>ChatGPT is not always objective and may produce output with a topic bias.<\/li>\n<\/ul>\n\n<h2 class=\"wp-block-heading\">How does ChatGPT work?<\/h2>\n\n<p class=\"wp-block-paragraph\"><b>ChatGPT works by predicting responses based on the statistical structure of language.<\/b> It is the latest language model from OpenAI and represents a significant improvement over its predecessor GPT-3.<\/p>\n\n<p class=\"wp-block-paragraph\">In this section on the nuts and bolts of how ChatGPT works, our source information comes from the <a href=\"https:\/\/arxiv.org\/pdf\/2203.02155.pdf\" target=\"_tabs\" rel=\"noopener noreferrer\">Training language models to follow instructions with human feedback<\/a> report that was created for <i>Instruct<\/i>GPT \u2013 developed between GPT-3 and ChatGPT \u2013 which OpenAI touts as the sibling model to ChatGPT. This report is the most comprehensive document currently available from OpenAI that applies to ChatGPT.<\/p>\n\n<h3 class=\"wp-block-heading\">Reinforcement learning from human feedback<\/h3>\n\n<p class=\"wp-block-paragraph\"><b>Reinforcement learning from human feedback (RLHF) uses humans, referred to as \u201clabelers\u201d, to align the language learning model to user intent.<\/b> Adding in a human control element generates a more conversational language structure and helps create comparison data to train the language model to better handle these common pitfalls:<\/p>\n\n<ul class=\"wp-block-list\">\n<li>Language models are often not helpful.<\/li>\n\n\n\n<li>Because they predict text, these models may \u201cmake up\u201d facts because the predicted words fit with their understanding of the language structure.<\/li>\n\n\n\n<li>Responses may be unable to be interpreted.<\/li>\n\n\n\n<li>Language models may generate output with topic bias based on their datasets.<\/li>\n<\/ul>\n    <div data-content-type=\"longform\" class=\"quote hub-quote longform-spacings d-flex flex-column rounded-lg px-5 py-6 px-md-6 py-md-7 p-lg-7 shadow-sm bg-primary\" data-theme=\"light\">\r\n\r\n        <div class=\"quote-logo mb-3\">\r\n                            <svg height=\"40\" class=\"quote-icon quote-icon-color\" aria-hidden=\"true\" data-url=\"https:\/\/www.mailgun.com\/wp-content\/plugins\/sinch-core\/assets\/icons\/custom-icons\/quotes-right.svg\"><\/svg>\r\n                    <\/div>\r\n\r\n        <blockquote class=\"quote-content content-body m-0 text-body-color\" id=\"quote-block-2fb0d1097c4e45af60c2c338c7638aec\">\r\n            \u00abOur aim was to select a group of labelers who were sensitive to the preferences of different demographic groups, and who were good at identifying outputs that were potentially harmful.\u00bb        <\/blockquote>\r\n\r\n                    <div class=\"d-flex gap-3 mt-5\">\r\n                                <div class=\"d-flex flex-column align-self-center fs-sm\">\r\n                    <cite class=\"mb-0 fw-bold text-accent fst-normal\" aria-describedby=\"quote-block-2fb0d1097c4e45af60c2c338c7638aec\">\r\n                        Open AI 2022, Training language models to follow instructions with human feedback                    <\/cite>\r\n                                            <span class=\"mb-0 text-body-color\">https:\/\/arxiv.org\/pdf\/2203.02155.pdf<\/span>\r\n                                    <\/div>\r\n            <\/div>\r\n            <\/div>\r\n\n<p class=\"wp-block-paragraph\">Here\u2019s how it works:<\/p>\n\n<p class=\"wp-block-paragraph\">Humans are hired to be labelers, usually freelancers or subcontractors from sites like Upwork, and they collect <b>human preference data<\/b> based on OpenAI\u2019s user alignment criteria. The goal is to hire labelers that are empathetic towards different cultures and demographics. <b>Think of human labelers as a jury of peers that evaluates ChatGPT\u2019s output. <\/b>Labelers interact with the language model at various stages throughout its training and development.<\/p>\n\n<ul class=\"wp-block-list\">\n<li><b>Phase 1: <\/b>A pre-trained language model is supplied with a controlled subset of data to learn a supervised policy, the SFT model, which generates output from a set list of prompts.<\/li>\n\n\n\n<li><b>Phase 2: <\/b>The language model mimics human preference based on review performed by the human labelers. The labelers vote on the best output. What results is a new dataset of comparison data called the reward model.<\/li>\n\n\n\n<li><b>Phase 3: <\/b>The reward model is used to improve the original SFT model, and <i>that<\/i> model is called the policy model.<\/li>\n<\/ul>\n\n<p class=\"wp-block-paragraph\">In practice this looks like this:<\/p>\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" class=\"wp-image-4117\" width=\"813\" height=\"266\" src=\"https:\/\/www.mailgun.com\/wp-content\/uploads\/2025\/07\/image1.png\" alt=\"A diagram illustrating three steps for OpenAIs method for training InstructGPT: (1) supervised fine-tuning (SFT), (2) reward model (RM) training, and (3) reinforcement learning via proximal policy optimization (PPO).\" srcset=\"https:\/\/www.mailgun.com\/wp-content\/uploads\/2025\/07\/image1.png 813w, https:\/\/www.mailgun.com\/wp-content\/uploads\/2025\/07\/image1-300x98.png 300w, https:\/\/www.mailgun.com\/wp-content\/uploads\/2025\/07\/image1-768x251.png 768w\" sizes=\"(max-width: 813px) 100vw, 813px\" \/><figcaption class=\"wp-element-caption\"><i>OpenAI 2022,\u00a0<\/i><a href=\"https:\/\/arxiv.org\/pdf\/2203.02155.pdf\" target=\"_tabs\" rel=\"noopener noreferrer\"><i>Training language models to follow instructions with human feedback<\/i><\/a>\u00a0&#8211;<i>\u00a0Figure 2<\/i><\/figcaption><\/figure>\n\n<h2 class=\"wp-block-heading\">Three AI laws to know before using ChatGPT with your email program<\/h2>\n\n<p class=\"wp-block-paragraph\"><b>AI isn\u2019t a good thing or a bad thing, it\u2019s just <\/b><b><i>a<\/i><\/b><b> thing<\/b>. We\u2019re gearing up to talk about using ChatGPT with your email program. Here\u2019s the knowledge you need to keep top of mind:<\/p>\n\n<ol class=\"wp-block-list\">\n<li><b>AI is not a replacement for human creativity.<\/b> In fact, AI often makes mistakes and is capable of generating content with a bias.<\/li>\n\n\n\n<li><b>AI generates responses only when directed. <\/b>To integrate with AI you have to create a flow that prompts the tool (ChatGPT) to create a response.<\/li>\n\n\n\n<li><b>AI behaves based on data it is trained on.<\/b> For the moment, ChatGPT can regenerate responses based on your feedback within its current knowledge bank. It may learn universally from data you input, but only if OpenAI implements that data on the backend.<\/li>\n<\/ol>\n\n<p class=\"wp-block-paragraph\">AI can be used to automate tasks. Automations can trigger AI tools like ChatGPT to create text, but it doesn\u2019t perform autonomously.<\/p>\n\n<h2 class=\"wp-block-heading\">How can you use ChatGPT to automate your email program<\/h2>\n\n<p class=\"wp-block-paragraph\">First, according to Sinch\u2019s recent state of customer communications report, <a href=\"https:\/\/sinch.com\/state-of-customer-communications\/chapter\/industry-insights\/\" target=\"_blank\" rel=\"noreferrer noopener\">77% of consumers<\/a> want to receive promotional messages via email marketing. That\u2019s a big percentage of recipients to impact with AI automation. So, how would it work?\u00a0<\/p>\n\n<p class=\"wp-block-paragraph\">We asked ChatGPT to write a paragraph telling us how we could use it with Mailgun to automate email sending. This is what it said:<\/p>\n    <div data-content-type=\"longform\"  class=\"callout text-body-color px-5 py-6 px-md-6 px-lg-7 py-md-7 longform-spacings rounded-lg bg-light\" data-theme=\"light\">\r\n\r\n        <div class=\"content-body\"> <p class=\"\">ChatGPT can be integrated with a tool like Mailgun to automate the process of sending emails. With Mailgun, developers can use APIs to send, receive and track email and ChatGPT can be used to generate personalized and dynamic email content based on user interactions or other data inputs. This can be used to send automated emails such as personalized newsletters, purchase receipts, or automated follow-up messages. Additionally, ChatGPT can be used to generate the subject line and recipient list for the email, providing a more personalized and efficient email automation experience. This integration can significantly improve the efficiency and personalization of email communication for businesses and organizations.<\/p><p class=\"\"><b>To integrate ChatGPT with the Mailgun API, you will need to follow these steps:<\/b>&nbsp;<\/p><p class=\"\">1. Create an account with Mailgun and obtain an API key.&nbsp;<\/p><p class=\"\">2. Use the Mailgun API key to send an email via the Mailgun API. This can be done using a programming language such as Python, and the requests library to make a POST request to the Mailgun API endpoint for sending email.&nbsp;<\/p><p class=\"\">3. Use ChatGPT to generate the content for the email by providing it with the necessary prompts and context.<\/p><p class=\"\">4. Use the output from ChatGPT as the body of the email when sending it via the Mailgun API. You may also need to set up webhooks in order to receive any incoming email and trigger the ChatGPT to respond accordingly.&nbsp;<\/p><p class=\"mb-0\">5. Finally, you will need to test the integration to make sure that it is working as expected.&nbsp;Note: This is a high-level overview and the actual implementation will depend on the specific requirements of your use case and the programming languages and libraries you are using.<\/p><\/div>\r\n    <\/div>\r\n\n<p class=\"wp-block-paragraph\">We\u2019re not going to lie, this sounds legit. Not only did it give us the general process for sending an email via API, it told us where and how to use ChatGPT to generate the copy for the emails, and, when prompted, creates email copy like this:<\/p>\n    <div data-content-type=\"longform\"  class=\"callout text-body-color px-5 py-6 px-md-6 px-lg-7 py-md-7 longform-spacings rounded-lg bg-light\" data-theme=\"light\">\r\n\r\n        <div class=\"content-body\"> <p class=\"\"><b>Mailgun:<\/b><b>&nbsp;<\/b>\u201cWrite copy for a transactional email triggered when users request a password reset.\u201d&nbsp;<\/p><p class=\"\"><b>ChatGPT:<\/b><b>&nbsp;<\/b>\u201cSubject: Reset your password\u00bb<\/p><p class=\"\">Hi [Username],&nbsp;<\/p><p class=\"\">We received a request to reset the password associated with your account. No worries, we\u2019ve got you covered!&nbsp;<\/p><p class=\"\">To reset your password, click the link below:&nbsp;<\/p><p class=\"\">[Password Reset Link]&nbsp;<\/p><p class=\"\">If you didn\u2019t request this password reset, please ignore this email and contact us immediately at [Contact Email]. We take the security of your account very seriously, and we want to ensure that only you can access your account.&nbsp;<\/p><p class=\"\">Once you reset your password, please log in and check that everything looks good. And don\u2019t forget to create a strong and unique password to keep your account secure.&nbsp;<\/p><p class=\"\">If you have questions or concerns, please don\u2019t hesitate to contact us at [Contact Email].&nbsp;<\/p><p class=\"mb-0\">Best regards,&nbsp;<\/p><p class=\"mb-0\">[your company] Team<\/p><\/div>\r\n    <\/div>\r\n\n<p class=\"wp-block-paragraph\">But Step 4 is where it starts to get vague: <i>\u201cYou may also need to set up webhooks in order to receive any incoming email and trigger the chatGPT to respond accordingly.\u201d<\/i><\/p>\n\n<p class=\"wp-block-paragraph\">There are a couple possible ways to integrate ChatGPT with a tool like Mailgun (or any cloud-based tool for that matter). Notably, <a href=\"https:\/\/zapier.com\/apps\/openai\/integrations\" target=\"_tabs\" rel=\"noopener noreferrer\">Zapier has built out a basic Zap for ChatGPT<\/a> integrations that you can use to connect ChatGPT to other tools and platforms. You can also use webhooks to integrate.<\/p>\n\n<p class=\"wp-block-paragraph\">So, we asked ChatGPT to take a stab at writing a webhook to integrate itself with Mailgun:<\/p>\n    <div data-content-type=\"longform\"  class=\"callout text-body-color px-5 py-6 px-md-6 px-lg-7 py-md-7 longform-spacings rounded-lg bg-light\" data-theme=\"light\">\r\n\r\n        <div class=\"content-body\"> <p>from flask import Flask, request<\/p><p>import requests<\/p><p> import jsonapp = Flask(__name__)@app.route(&#8216;\/webhook&#8217;, methods=[&#8216;POST&#8217;]) <\/p><p> def webhook(): <\/p><p>      # Get the email data from the request <\/p><p>      email_data = json.loads(request.data)    # Use ChatGPT to generate a response to the email <\/p><p>      response = generate_response_with_chatgpt(email_data)    # Send the response email using the Mailgun API <\/p><p>      send_response_email(response, email_data)    return &#8216;Response sent&#8217;def generate_response_with_chatgpt(email_data): <\/p><p>      # Use ChatGPT to generate a response to the email <\/p><p>      response = \u00abGenerated response using ChatGPT\u00bb <\/p><p>      return responsedef send_response_email(response, email_data): <\/p><p>      # Set up the data for the API request <\/p><p>      api_key = &#8216;key-your_api_key&#8217; <\/p><p>      recipient = email_data[&#8216;from&#8217;] <\/p><p>      subject = &#8216;Re: &#8216; + email_data[&#8216;subject&#8217;] <\/p><p>      body = response    # Send the email using the Mailgun API <\/p><p>      requests.post( <\/p><p>           \u00abhttps:\/\/api.mailgun.net\/v3\/your_domain.com\/messages\u00bb, <\/p><p>           auth=(\u00abapi\u00bb, api_key), <\/p><p>           data={\u00abfrom\u00bb: \u00abMailgun Sandbox &lt;postmaster@your_domain.com&gt;\u00bb, <\/p><p>           \u00abto\u00bb: recipient, <\/p><p>           \u00absubject\u00bb: subject, <\/p><p>           \u00abtext\u00bb: body})if __name__ == &#8216;__main__&#8217;: <\/p><p class=\"mb-0\">      app.run()<\/p><\/div>\r\n    <\/div>\r\n\n<p class=\"wp-block-paragraph\">This code isn\u2019t ready to go right out of the box, though. When we asked ChatGPT to generate the code, we didn\u2019t specify language, so it appears its default is Python \u2013 at least in this instance. However, Python isn\u2019t everyone\u2019s go to when writing webhooks.<\/p>\n\n<p class=\"wp-block-paragraph\"><b>Our first recommendation when using ChatGPT is to be specific.<\/b> ChatGPT is capable of generating code and solving mathematical equations, but defining specific parameters for ChatGPT is ridiculously important.<\/p>\n\n<p class=\"wp-block-paragraph\"><b>The next callout is to be prepared to take formatting offline.<\/b> ChatGPT has a copy\/paste feature for code but it either isn\u2019t completely accurate, or it doesn\u2019t carry over the formatting to all external readers.<\/p>\n\n<p class=\"wp-block-paragraph\">We had to update the code to be bootable:<\/p>\n    <div data-content-type=\"longform\" class=\"code-snippet longform-spacings rounded-lg overflow-hidden shadow \" data-count=\"1\">\r\n        <ul class=\"nav nav-buttons code-snippet__tabs longform-except position-relative d-flex gap-2 flex-wrap p-3\" role=\"tablist\">\r\n\r\n                            \r\n                    \r\n                        <li class=\"nav-item\" role=\"presentation\">\r\n                            <button class=\"nav-link active\" data-bs-toggle=\"tab\" data-bs-target=\"#code_0\" type=\"button\" role=\"tab\" aria-controls=\"code_0\" aria-selected=\"true\">\r\n                                Python                            <\/button>\r\n                        <\/li>\r\n\r\n                    \r\n                            \r\n        <\/ul>\r\n        <div class=\"code-snippet__tab-content tab-content\">\r\n\r\n                            \r\n                    <div class=\"tab-pane show active\" id=\"code_0\" role=\"tabpanel\" aria-labelledby=\"code_0\">\r\n                        <div class=\"code-snippet__code-wrapper\">\r\n                            <div class=\"nav nav-buttons code-snippet__copy-wrapper\">\r\n                                <button type=\"button\" class=\"nav-link code-snippet__copy\" data-clipboard-target=\"#code_0_content\" data-clipboard-label=\"Copia al portapapeles\" data-clipboard-success-label=\"\u00a1Copiado!\" data-clipboard-error-label=\"No se ha podido copiar\" data-tooltip=\"Copia al portapapeles\" data-tooltip-placement=\"left\" role=\"tooltip\" aria-label=\"Copia al portapapeles\">\r\n                                    <svg class=\"code-snippet__copy-icon code-snippet__copy-icon--default\" width=\"24\" height=\"24\" aria-hidden=\"true\" data-url=\"https:\/\/www.mailgun.com\/wp-content\/plugins\/sinch-core\/assets\/icons\/sinch\/file-stack.svg\"><\/svg>\r\n                                    <svg class=\"code-snippet__copy-icon code-snippet__copy-icon--success\" width=\"24\" height=\"24\" aria-hidden=\"true\" data-url=\"https:\/\/www.mailgun.com\/wp-content\/plugins\/sinch-core\/assets\/icons\/sinch\/badge-check.svg\"><\/svg>\r\n                                <\/button>\r\n                            <\/div>\r\n                            <pre class=\"w-100 h-100 m-0 line-numbers language-Python\">\r\n                                <code id=\"code_0_content\" class=\"language-Python\">\r\n\r\n                                    from flask import Flask, requestrnimport jsonrnapp = Flask(__name__)rnapp.route(&#039;\/webhook&#039;, methods=[&#039;POST&#039;])rnrndef webhook():rn    # Get the email data from the requestrn    email_data = json.loads(request.data) # Use ChatGPT to generate a response to the emailrn    response = generate_response_with_chatgpt(email_data)    # Send the response email using the Mailgun APIrn    send_response_email(response, email_data)rn    return &#039;Response sent&#039;rnrndef generate_response_with_chatgpt(email_data):rn    # Use ChatGPT to generate a response to the emailrn    response = &quot;Generated response using ChatGPT&quot;rn    return responsernrndef send_response_email(response, email_data):rn    # Set up the data for the API requestrn    api_key = &#039;key-your_api_key&#039;rn    recipient = email_data[&#039;from&#039;]rn    subject = &#039;Re: &#039; + email_data[&#039;subject&#039;]rn    body = response    # Send the email using the Mailgun APIrn    requests.post(rn        &quot;https:\/\/api.mailgun.net\/v3\/your_domain.com\/messages&quot;,rn        auth=(&quot;api&quot;, api_key),rn        data={rn          &quot;from&quot;: &quot;Mailgun Sandbox &lt;postmaster@your_domain.com&gt;&quot;,rn          &quot;to&quot;: recipient,rn          &quot;subject&quot;: subject,rn          &quot;text&quot;: bodyrn        }rn      )rnrnif __name__ == &#039;__main__&#039;: app.run()\r\n                                <\/code>\r\n                            <\/pre>\r\n                        <\/div>\r\n                    <\/div>\r\n                                    <\/div>\r\n    <\/div>\r\n\n<p class=\"wp-block-paragraph\">You\u2019d need to run this generated webapp on either an actual public server or use a service that allows you to expose your application to the internet through a local host tunnel. You\u2019d also likely need to make a few tweaks to the code depending on your tools and environment.<\/p>\n\n<p class=\"wp-block-paragraph\">Ok, so where did we land? We love automating things and making processes efficient. Transactional emails that are triggered by user action (password resets, abandoned carts, etc.) are phenomenal for your email program. <b>ChatGPT can help you build that part of your email program from copy to code <\/b><b><i>if<\/i><\/b><b> you use it as a draft generator <\/b>and ditch any expectations you have of perfection on the first iteration. We are not at the point <i>yet<\/i> where AI tools can absorb the complete creation of these processes.<\/p>\n\n<h2 class=\"wp-block-heading\">Should you use ChatGPT to automate your email program?<\/h2>\n\n<p class=\"wp-block-paragraph\">If this were just a matter of saving time, it would be very easy to recommend integrating a tool like ChatGPT into your email program. But, in the sage wisdom of Vanilla Ice, we can only recommend you \u201cstop, collaborate, and listen\u201d because this brand-new invention isn\u2019t perfection.<\/p>\n\n<p class=\"wp-block-paragraph\">Before you fully embrace automation with ChatGPT, make sure you understand how your email program works, and the points where implementing an integration like this makes the most sense.<\/p>\n\n<h3 class=\"wp-block-heading\">How using ChatGPT could affect your deliverability<\/h3>\n\n<p class=\"wp-block-paragraph\">We asked ChatGPT if it could explain our deliverability services \u2013 just for fun, in the style of George Carlin. Here\u2019s what it said:<\/p>\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" class=\"wp-image-4314\" width=\"635\" height=\"528\" src=\"https:\/\/www.mailgun.com\/wp-content\/uploads\/2025\/07\/Screenshot_2023-02-14_at_5.04.28_PM__1_.png\" alt=\"Chat log of ChatGPT describing Mailgun&apos;s Deliverability Services offering in the style of George Carlin.\" srcset=\"https:\/\/www.mailgun.com\/wp-content\/uploads\/2025\/07\/Screenshot_2023-02-14_at_5.04.28_PM__1_.png 635w, https:\/\/www.mailgun.com\/wp-content\/uploads\/2025\/07\/Screenshot_2023-02-14_at_5.04.28_PM__1_-300x249.png 300w\" sizes=\"(max-width: 635px) 100vw, 635px\" \/><\/figure>\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/www.mailgun.com\/es\/blog\/deliverability\/por-que-la-verificacion-de-emails-es-vital-para-tu-bandeja-de-entrada\/\" target=\"_tabs\" rel=\"noopener noreferrer\">Email addresses verifications<\/a>, expert support to understand what can land you in the spam folder, and analytics are all part of deliverability, but a lot is missing here (including a likeness to George Carlin). This generated pitch proves our point that <b>deliverability is not only nuanced but varies from sender to sender.<\/b><\/p>\n    <div data-content-type=\"longform\" class=\"quote hub-quote longform-spacings d-flex flex-column rounded-lg px-5 py-6 px-md-6 py-md-7 p-lg-7 shadow-sm bg-primary\" data-theme=\"light\">\r\n\r\n        <div class=\"quote-logo mb-3\">\r\n                            <svg height=\"40\" class=\"quote-icon quote-icon-color\" aria-hidden=\"true\" data-url=\"https:\/\/www.mailgun.com\/wp-content\/plugins\/sinch-core\/assets\/icons\/custom-icons\/quotes-right.svg\"><\/svg>\r\n                    <\/div>\r\n\r\n        <blockquote class=\"quote-content content-body m-0 text-body-color\" id=\"quote-block-347f25501840ea578c699cce50b52ba5\">\r\n            \u00abIt&#8217;s the sender that understands who their audience is and is able to connect with that audience, and audience can vary greatly across different verticals. When we look at getting to the inbox, deliverability problems will vary from sender to sender, so a thoughtful approach is needed when we look at improving deliverability.\u00bb        <\/blockquote>\r\n\r\n                    <div class=\"d-flex gap-3 mt-5\">\r\n                                <div class=\"d-flex flex-column align-self-center fs-sm\">\r\n                    <cite class=\"mb-0 fw-bold text-accent fst-normal\" aria-describedby=\"quote-block-347f25501840ea578c699cce50b52ba5\">\r\n                        Theresa Kinney                    <\/cite>\r\n                                            <span class=\"mb-0 text-body-color\">Technical Account Manager at Mailgun<\/span>\r\n                                    <\/div>\r\n            <\/div>\r\n            <\/div>\r\n\n<p class=\"wp-block-paragraph\">ChatGPT uses RLHF to generate its output and human labelers are tasked with being objective in terms of cultural biases, but the labelers are not tasked (as far as we can tell) with training ChatGPT in depth on different industries, demographics, or communities.<\/p>\n\n<p class=\"wp-block-paragraph\">With deliverability, <b>step one is knowing your audience and working to relate to them specifically<\/b> \u2013 even something as simple as the length of the email. If your demographic is mostly Gen Z, then four or five paragraphs of text won\u2019t engage them, which is what ChatGPT will usually produce if you don\u2019t give it a parameter for length.<\/p>\n\n<p class=\"wp-block-paragraph\">The same goes for writing code, or error troubleshooting. As our deliverability team tested ChatGPT for various use cases, they found that a lot of review is necessary. This is very obvious in code generation. If we implement scripts from ChatGPT and then try to troubleshoot the subsequent errors, it goes a little something like this:<\/p>\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" class=\"wp-image-4315\" width=\"632\" height=\"639\" src=\"https:\/\/www.mailgun.com\/wp-content\/uploads\/2025\/07\/Untitled_Artwork.png\" alt=\"Deliverability team tests code troubleshooting with ChatGPT\" srcset=\"https:\/\/www.mailgun.com\/wp-content\/uploads\/2025\/07\/Untitled_Artwork.png 632w, https:\/\/www.mailgun.com\/wp-content\/uploads\/2025\/07\/Untitled_Artwork-297x300.png 297w\" sizes=\"(max-width: 632px) 100vw, 632px\" \/><\/figure>\n\n<p class=\"wp-block-paragraph\">In general, calling ChatGPT out on errors doesn\u2019t elicit a corrected response, it just reframes the response to restate the error with the information you provided. The takeaway? <b>ChatGPT is a generative response tool,<\/b> but it doesn\u2019t quite have the ability to troubleshoot, correct, or validate its own responses.<\/p>\n\n<h3 class=\"wp-block-heading\">AI and the inbox<\/h3>\n\n<p class=\"wp-block-paragraph\">As tools like ChatGPT hit the market, and more and more companies use them to generate content like email copy, is there a risk that ISPs will start to crack down on recognizing AI content as spam? Is this even possible? Instead of asking for ChatGPT\u2019s thoughts on this, we talked to Mailgun\u2019s Product Manager, Chris Farmer.<\/p>\n\n<p class=\"wp-block-paragraph\">Most mailbox providers rely on user input to identify what is or is not spam content. Users interact with what\u2019s relevant to them, based on what they\u2019ve asked for. So, if ChatGPT is used to generate content for a marketing campaign, and that content contains spammy keywords, content that other users have marked as spam, or content that is not relevant to users based on what they subscribed to receive, then the AI content could easily be marked spam.<\/p>\n    <div data-content-type=\"longform\" class=\"quote hub-quote longform-spacings d-flex flex-column rounded-lg px-5 py-6 px-md-6 py-md-7 p-lg-7 shadow-sm bg-primary\" data-theme=\"light\">\r\n\r\n        <div class=\"quote-logo mb-3\">\r\n                            <svg height=\"40\" class=\"quote-icon quote-icon-color\" aria-hidden=\"true\" data-url=\"https:\/\/www.mailgun.com\/wp-content\/plugins\/sinch-core\/assets\/icons\/custom-icons\/quotes-right.svg\"><\/svg>\r\n                    <\/div>\r\n\r\n        <blockquote class=\"quote-content content-body m-0 text-body-color\" id=\"quote-block-46bffc16fbfe4b949bb9bb0f74a35095\">\r\n            \u00abChatGPT is a tool to add to your toolbox, just like any other tool, and it has the possibility of making our lives more efficient, but it surely won&#8217;t replace us.\u00bb        <\/blockquote>\r\n\r\n                    <div class=\"d-flex gap-3 mt-5\">\r\n                                    <div>\r\n                        <img decoding=\"async\" width=\"72\" height=\"72\" class=\"rounded-lg quote-author\" src=\"https:\/\/www.mailgun.com\/wp-content\/uploads\/2025\/07\/chris_farmer.jpeg\" alt=\"Foto de Chris Farmer\">\r\n                    <\/div>\r\n                                <div class=\"d-flex flex-column align-self-center fs-sm\">\r\n                    <cite class=\"mb-0 fw-bold text-accent fst-normal\" aria-describedby=\"quote-block-46bffc16fbfe4b949bb9bb0f74a35095\">\r\n                        Chris Farmer                    <\/cite>\r\n                                            <span class=\"mb-0 text-body-color\">Product Manager at Sinch Mailgun<\/span>\r\n                                    <\/div>\r\n            <\/div>\r\n            <\/div>\r\n\n<p class=\"wp-block-paragraph\">In terms of using ChatGPT with your email program, we can see use cases where you could create copy and integrations like:<\/p>\n\n<ul class=\"wp-block-list\">\n<li>Generating email copy for transactional emails or campaigns<\/li>\n\n\n\n<li>Writing a program to send email through Mailgun<\/li>\n\n\n\n<li>Writing a program to automatically reply to emails based on an existing integration with your application, such as importing calendar schedules and resource availability to respond to incoming inquiries<\/li>\n<\/ul>\n\n<p class=\"wp-block-paragraph\">But ChatGPT is not a set-it-and-forget-it tool. Anything it creates will need to be edited and adapted.<\/p>\n\n<h2 class=\"wp-block-heading\">Final thoughts<\/h2>\n\n<p class=\"wp-block-paragraph\">Even while writing this post, there have been changes in the world of chat AI tools. Notably Microsoft, who is integrating their Bing search engine and Edge browser with ChatGPT features, and Google who is rapidly developing their own solution called Bard. The results on both fronts are intriguing but definitely not sentient.<\/p>\n\n<p class=\"wp-block-paragraph\">On the email front, we\u2019re watching intently with a fresh bowl of popcorn (and one hand on the power cord&#8230; just in case), but we aren\u2019t surrendering all our tasks to AI just yet.<\/p>\n\n<p class=\"wp-block-paragraph\">We hope you enjoyed this post, but it was just a warm-up. Check out our upcoming webinars and choose your fighter.\u00a0<a href=\"https:\/\/app.livestorm.co\/mailjet\/the-great-email-ai-debate-round-one-marketers-vs-bots\/\" target=\"_tabs\" rel=\"noopener noreferrer\">Marketers vs. Bots<\/a>, and\u00a0<a href=\"https:\/\/app.livestorm.co\/mailjet\/the-great-email-ai-debate-round-two-email-geeks-vs-chatgpt\" target=\"_tabs\" rel=\"noopener noreferrer\">Email Geeks vs. ChatGPT<\/a>.<\/p>\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" class=\"wp-image-4316\" width=\"1200\" height=\"600\" src=\"https:\/\/www.mailgun.com\/wp-content\/uploads\/2025\/07\/AI-debate-webinar-1-NL.png\" alt=\"The Great Email AI Debate webinar banner featuring key speaker headshots\" srcset=\"https:\/\/www.mailgun.com\/wp-content\/uploads\/2025\/07\/AI-debate-webinar-1-NL.png 1200w, https:\/\/www.mailgun.com\/wp-content\/uploads\/2025\/07\/AI-debate-webinar-1-NL-300x150.png 300w, https:\/\/www.mailgun.com\/wp-content\/uploads\/2025\/07\/AI-debate-webinar-1-NL-768x384.png 768w, https:\/\/www.mailgun.com\/wp-content\/uploads\/2025\/07\/AI-debate-webinar-1-NL-1024x512.png 1024w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/figure>\n\r\n    <aside data-content-type=\"longform\"  class=\"banner-block longform-spacings rounded-lg shadow-lg px-5 py-6 px-md-6 py-md-7 p-lg-7 bg-light\" data-theme=\"dark\" aria-labelledby=\"banner-block-block_957f7e91e736d2adcb86132bdc8e3777\">\r\n                            <p class=\"h4 text-accent fw-bold\" id=\"banner-block-block_957f7e91e736d2adcb86132bdc8e3777\">\r\n                The Great Email AI Debate \u2013 Round Two: Email Geeks vs. ChatGPT            <\/p>\r\n                            <div class=\"mb-0 text-body-color\">\r\n                                    <div class=\"content-body mb-0 text-body-color\">Check out the recording of our April 2023 event<\/div>\r\n                            <\/div>\r\n        \r\n        <div class=\"text-start mt-5\"><a href=\"https:\/\/app.livestorm.co\/mailjet\/the-great-email-ai-debate-round-two-email-geeks-vs-chatgpt\"  class=\"btn btn-secondary\" >Watch<\/a><\/div>\r\n    <\/aside>\r\n\r\n","protected":false},"excerpt":{"rendered":"<p>\u00bfChatGPT o no ChatGPT? Esa es la \u00faltima pregunta que est\u00e1 arrasando en la red. Y, tanto si decidimos adoptar la IA generativa de forma individual como si preferimos mantenernos al margen, ya no hay vuelta atr\u00e1s. Lo que s\u00ed podemos hacer es aprovecharla y automatizarla. Te ense\u00f1amos c\u00f3mo hacerlo en este art\u00edculo.<\/p>\n","protected":false},"author":21,"featured_media":4074,"menu_order":0,"template":"","meta":{"_acf_changed":false,"footnotes":""},"blog_category":[20],"class_list":["post-20968","blog","type-blog","status-publish","has-post-thumbnail","hentry","blog_category-email"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>El notorio ChatGPT: IA generativa y email - Transactional Email API Service For Developers | Mailgun<\/title>\n<meta name=\"description\" content=\"ChatGPT puede ser una herramienta muy potente para tu programa de email, si la entiendes. 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