How to Make a Discord Bot in Python

A lot more documentation and helpful information can be found on the official discord.py API Reference page. Having a good understanding of how to read the API will not only make you a better developer, but it will allow you to build whatever type of Discord bot that you want. Instead, you’ll have to apply for a developer account with Essential access first. You’ll just need to provide some basic account information and explain your intended use of the Twitter API. As long as you adhere to Twitter’s rules and guidelines, your bot will be a valuable addition to your profile.

Checkout bot’s main feature is the convenience and ease of shopping. With easy-to-use shopping features optimized for flash sales comparisons, targeted products, and limited checkout time for users, this bot makes it harder for users to compare prices, resulting in quick sales. An excellent Chatbot builder offers businesses the opportunity to increase sales when they create online ordering bots that speed up the checkout process. Simple online shopping bots are more task-driven bots programmed to give very specific automated answers to users. This would include a basic Chatbot for businesses on online social media business apps, such as Meta (Facebook or Instagram). These bots do not factor in additional variables or machine learning, have a limited database, and are inadequate in their conversational capabilities.

Prior to the ticket onsale

We send a GET request on the API URL and pass sign and day as the query parameters. All the API implementations are stored in a single class called TeleBot. It offers many ways to listen for incoming messages as well as functions like send_message(), send_document(), and others to send messages. A common practice to store these types of tokens would be to use some sort of hidden file that your program pulls the string from so that they aren’t committed to a VCS. Let’s go ahead and install this package so that we can secure our token.

Sarafyan said his cook group is a good business, but he still makes more money selling sneakers himself. I want to reiterate that I’m not claiming this is the best way to build a bot (or even a good way). I’m sure there are countless other ways to make this a lot better. My primary aim for this tutorial was to write something that you can easily read/understand and reason about conceptually. In practice, you’d ideally use a PubSub model and a better project structure with well tested helper functions. In the above Python code, we created a function that accepts two string arguments – sign and day – and returns JSON data.

Amazon is calling its shopping assistant Rufus, and it’s rolling out to select customers now.

I wrote about ScrapingBee a couple of years ago where I gave a brief intro about the service. ScrapingBee is a cloud-based scraping service that provides both headless and lightweight typical HTTP request-based scraping services. You can upload documents, files, and links that can help the bot understand how to respond.

Thanks to the new release of the Twitter API, you can now use a bot to post Twitter polls. Twitter polls can be a great tool for generating awareness about an upcoming product or campaign launch, getting customer feedback, or starting a conversation with your audience. You’ll need to provide a project name, use case, brief description, and app name. The short of it is that you must not be spammy, and that you must always give users a way to opt out of receiving your automated posts.

Setup

With the expertise, flexibility, reliability, security, and collaboration provided by our company, you can build a successful system that helps you achieve your goals over the long term. Once the trading bot has been built and optimized, it’s important to deploy it to a server or cloud platform to ensure that it runs reliably and efficiently. This involves setting up the necessary infrastructure, including configuring the server or cloud platform, installing any required software dependencies, and testing the bot to ensure that it runs smoothly. Risk management is an essential aspect of trading, and bots are no exception.

This is because the default Solana RPC nodes have rate-limits and your requests won’t go through if you’re making too many calls in a short time period. You can use an RPC provider like GenesysGo to make unlimited calls, though this won’t be free. The first step in setting up a development environment is how to make a bot to buy things to choose a programming language. There are many programming languages that can be used for building trading bots, including Python, Java, C++, and more. Python is a popular choice due to its simplicity and availability of libraries and frameworks specifically designed for financial analysis and trading.

These are just a few of the damning ticket bot data points highlighted by the New York Attorney General. Get the answers to these questions & learn everything you need to know about ticket scalping bots in this comprehensive blog post. In many cases, bots are built by former sneakerheads and self-taught developers who make a killing from their products.

Some are entertainment-based as they provide interesting and interactive games, polls, or news articles of interest that are specifically personalized to the interest of the users. Others are used to schedule appointments and are helpful in-service industries such as salons and aestheticians. Hotel and Vacation rental industries also utilize these booking Chatbots as they attempt to make customers commit to a date, thus generating sales for those users. Chatbot speeds up the shopping and online ordering process and provides users with a fast response to their queries about products, promotions, and store policies. Online Chatbots reduce the strain on the business resources, increases customer satisfaction, and also help to increase sales.

Why Create an Online Ordering Bot with Appy Pie?

Using the example you’ve seen already, the on_ready() event handler handles the event that the Client has made a connection to Discord and prepared its response data. Once you’ve created your guild, you’d invite other users to populate it. A guild (or a server, as it is often called in Discord’s user interface) is a specific group of channels where users congregate to chat. Once you’ve created all of these components, you’ll tie them together by registering your bot with your guild.

Allow free gifts and motivate your customers to spend more. Alt Text Reminder is a Twitter bot designed to improve website accessibility. It sends direct messages to its followers to add alt text when they Tweet an image without it. Alt text is a description of an image that can be read by a screen reader and is therefore important for the visually-impaired or other people using a screen reader. It’s also useful for people with low bandwidth connections or other issues that cause images not to load on their screens.

It’s a practice as old as time itself, but something that’s become rather controversial in recent years. Buying shoes from retailers in bulk before they come out, sometimes at retail, sometimes at package prices. It takes inventory off a retailer’s hand and lets them not worry as much about a release.

Sometimes, you require a parameter to be a certain type, but arguments to a Command function are, by default, strings. A Converter lets you convert those parameters to the type that you expect. In technical terms, a Command is an object that wraps a function that is invoked by a text command in Discord. The text command must start with the command_prefix, defined by the Bot object. On_member_join(), as its name suggests, handles the event of a new member joining a guild. You could clean up this code by using some of the utility functions available in discord.py.

• While most resellers see bots as a necessary evil in the sneaker world, some sneakerheads are openly working to curb the threat.
• You now have a bot account and you can login with that token.
• I’m sure there are countless other ways to make this a lot better.
• The creation of shopping bot business systems to handle the volume of orders, customer queries, and transactions has made the online ordering process much easier.

There are many online shopping Chatbot application tools available on the market. Many Chatbot builders have free versions for the more simplified bots, while the more advanced bots are designed to be more responsive to customer interactions and communications. Your budget and the level of automated customer support you desire will determine how much you invest into creating an efficient online ordering bot. An online ordering bot can be programmed to provide preset options such as price comparison tools and wish lists in item ordering. These options can be further filtered by department, type of action, product query, or particular service information that users require may require during online shopping. The Chatbot builder can design the Chatbot AI to redirect users with a predictive bot online database or to a live customer service representative.

Today, chatbots are used in many scenarios, ranging from menial tasks such as displaying time and weather data to more complex operations such as rudimentary medical diagnosis and customer communication/support. Many industries are shifting their customer service to chatbot systems. That’s because of the huge drop in the cost compared to actual humans, and also because of the robustness and constant availability. Chatbots deliver a degree of user support without substantial additional cost.

A Twitter bot is an account that’s programmed to perform actions, like send tweets at a scheduled time or follow accounts. Here, just like before, you’ve created a client variable and called .run() with your Discord token. Instead of using the normal base class, client is an instance of CustomClient, which has an overridden on_ready() function. Looking back at the bot.py code, you’ll notice a library called dotenv.

Understanding generative AI as a pedagogical innovation opinion

As enterprises expand their gen AI initiatives, they recognize that the cost of developing, deploying and operating these models can be significant as use cases scale and expand. Although the research focused on coders, observing how all employees interact with gen AI can reveal broader areas for flattening hierarchies and increasing efficiency. Hoffmann recommends cataloging tasks—like his team did—to identify which duties can shift from humans to AI. Now, it’s possible to give AI confirmed “good” data and have the AI analyze and learn from it. From there, for all new data, it can apply what it learned, flagging any outliers for manual analysis, significantly reducing the effort required by humans to do the work.

of organisations developing or planning custom AI agents, says OutSystems report

They turn to a LLM bot, which creates custom questions, quizzes them, provides corrective feedback and repeats the cycle until mastery is achieved. This happens without the involvement of the instructor, other students, textbooks or premade quiz banks. This is an example of redefinition, where AI makes possible a personalized, responsive learning experience that fundamentally alters the traditional learning process. While this new approach represents a huge opportunity to scale transformation initiatives, it also makes AI governance more important than ever.

Startup Innovations: Guru4Invest’s Role in Democratizing Investment Opportunities

Helping customers achieve their business goals by addressing key strategic initiatives, OutSystems delivers production software up to 10x faster than traditional development. Recognized as a leader by analysts, IT executives, business leaders, and developers around the world, global brands trust OutSystems to tackle their impossible projects and turn their big ideas into software that moves their business, people, and the world forward. Founded in 2001, the company’s network spans more than 800,000 community members, over 500 partners, and active customers in 75+ countries across 21 industries. Like other pedagogical innovations, each potential benefit of generative AI—whether it’s improving student learning, increasing instructor efficiency or achieving other desirable outcomes—comes with a corresponding challenge.

Document these best practices and encourage wider dissemination through knowledge sharing sessions. IT leaders should consider augmentation and customizations sequentially, only moving to a more advanced approach if a simpler one doesn’t meet the required output quality. They can evaluate the different approaches not only to achieve better output quality, but also to reduce running costs — especially if the model usage will be high volume and predictable. Running costs can be mitigated by careful choice of models that balance price/performance, or even by efficiently fine-tuning a model on a specific dataset through instruction tuning or continuing pretraining.

• With the ongoing transformation of industries and business processes caused by artificial intelligence (AI), AI for leaders is not only a technological benefit but also a leadership requirement.
• Conduct monthly or quarterly reviews of gen AI costs to ensure ongoing optimization and instill a culture of accountability.
• “It shifts the conversation from a more tactical conversation about this one use case or this one risk to more of a strategic plan for dealing with the ‘AI risks’ in your organization,” Marcus says.
• They can evaluate the different approaches not only to achieve better output quality, but also to reduce running costs — especially if the model usage will be high volume and predictable.

According to Check Point’s 2025 AI security report, 1 in every 80 prompts (1.25%) sent to generative AI services from enterprise devices had a high risk of sensitive data leakage. Consider the complexity and cost implications before opting to self-host gen AI models. If an organization decides to self-host, it must ensure it can deliver opex-based pricing models or managed services for it. IT leaders should evaluate their organization’s capacity for upfront investment, ongoing maintenance and expertise before opting for self-hosting, considering that the costs and complexities can escalate — especially with larger models and high usage volumes. Model accuracy needs to be validated through a broad set of accuracy metrics such as fluency, coherence, relevancy and contextual understanding. If choosing a gen AI model delivered as an applied programming interface, remember that the same model may be offered by multiple providers.

The majority of software executives (69%), anticipate AI will introduce new, more specialized roles (e.g., oversight, governance, prompt engineering, agent architect, and agent orchestration) to accommodate the evolving role AI will play within organizations. More than three out of five respondents (63%) also feel that AI will require substantial upskilling or reskilling within existing development teams. Almost half of respondents (49 per cent) are planning to adopt AI agents for customer support to autonomously handle inquiries and support tasks, underscoring a drive to improve customer experience and scale support efficiently. The report says that with agentic AI, leaders can automate large-scale processes, create hyper-personalised digital experiences, and drive innovation with agility. Capable of enabling seamless enterprise-wide data access and upholding rigorous standards for compliance, security, and governance, agentic AI is poised to transform business processes and experiences and help organisations embrace an AI-first future.

Law Firm Leaders See Partners Standing in the Way of Tech Upgrades

• OutSystems is a leading AI-powered low-code development platform, empowering IT leaders with a better way to build the software that matters most.
• Despite the attention generative artificial intelligence has received in higher education, it is often discussed solely as a technological innovation rather than a pedagogical one.
• As these AI tools evolve, they may not only make teaching more efficient but also inspire educators by alleviating administrative burdens, allowing them to focus more on creativity and innovation in their teaching.
• Finally, picture a student who, despite participating in peer instruction, still struggles with the material.
• With the help of AI in customer service and marketing, leaders will be able to personalize the experience of their clients better, building stronger relationships and increasing the rate of long-term customer retention.
• Companies can’t afford to have human power doing this, and it certainly wouldn’t be as accurate.

With the ongoing transformation of industries and business processes caused by artificial intelligence (AI), AI for leaders is not only a technological benefit but also a leadership requirement. AI has much potential to help leaders make better decisions, operations run smoothly, creativity, and not lag behind in the competition. This paper discusses the seven most important reasons why AI is essential to leaders and how leaders can prepare themselves with the essential skills by enrolling in courses like Data Science Courses and Generative AI Courses. Norton suggests CISOs develop strategic and tactical approaches to define the different types of AI tools, capture the relative risks, and balance potential pay-off in productivity and innovation. Tactical measures such as secure by design processes, IT change processes, shadow AI discovery programs or risk-based AI inventory and classification are practical ways to deal with the smaller AI tools. “Where you have more day-to-day AI — that bit of AI sitting in some product or some SaaS platform, which is growing everywhere — this might be managed through a tactical approach that identifies what elements need oversight,” Norton says.

Conventional teaching—the predominant instructional model at all levels of education—follows a one-teacher-to-many-students format with periodic testing to assess learning. In contrast, mastery teaching integrates frequent formative assessments and feedback loops, ensuring students do not progress until they demonstrate mastery of prior material. As an example, AI may be used to skim through resumes and find certain keywords, assess the experience of the candidate, and even foresee how effective they will be in the business culture. When employees have been recruited, AI can then monitor their performance, detect areas where they are lacking, and propose individual development opportunities to make sure employees become the best they can be. An example is that customer service bots that are AI-based can be used to manage basic customer questions at any time of the day or night, so that human agents can tend to more complicated customer requirements.

The primary objective of the survey was to gather insights on AI and agentic AI adoption in the software development lifecycle from IT leaders. This survey was conducted between April 25, 2025 and May 5, 2025 across the U.S., U.K., Japan, France, Canada, Australia, India and Germany. By championing strategic decision making and scalable execution models, AI TPMs enable organizations to bridge the gap between research and real-world impact.

With AI agents, the technology can dynamically decide what to do, bringing the power of AI into workflows. Previously, processes like this would have had hundreds or thousands of manual steps—with agentic AI, it’s possible to get the desired output more easily and in seconds. For many organizations, this makes work that was previously considered impossible to achieve due to cost now within reach.