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Microsoft Copilot Studios - Working with Adaptive Cards
Microsoft Copilot Studio
Jan 12, 2024 3:00 PM

Microsoft Copilot Studios - Working with Adaptive Cards

by HubSite 365 about Joe Unwin [MVP] (FlowJoe)

Power Platform Lead @ Hitachi | FTRSA, MVP & MCT

Citizen DeveloperMicrosoft Copilot StudioLearning Selection

Explore AI customization with Microsoft Copilot Studio and Adaptive Cards – enhance your business processes now!

Key insights


Introduce the Microsoft Copilot Studio: A generative AI tool that combines with Adaptive Cards for improved AI-user interactions, providing a detailed look at simple and complex Adaptive Cards which can be used for real-time user feedback and meeting specific company design needs.

Discover why this video is essential: It's beneficial for tech enthusiasts, business owners, or individuals interested in AI application - offering practical insights on using Adaptive Cards to tailor AI responses, and inviting viewers to engage with their creative project ideas.

The importance of viewer input: The video encourages audience participation, emphasizing the value of user opinions and promising to address any questions fans may have about the innovative use of Adaptive Cards in AI customization.

  • Introduction to Microsoft Copilot Studio: A tool for creating conversational AI solutions that can assist with customer support, task automation, and productivity enhancement.
  • Main Features: Customizable GPT models, generative AI plugins, manual topic creation, drag-and-drop interface, and built-in analytics for performance tracking.
  • Benefits: Quick deployment, seamless integration with workflows, improved efficiency, and enhanced customer satisfaction through personalized support.
  • Usage scenarios: Copilot Studio's AI solutions can be applied to customer support, IT, sales, marketing, and HR for a broad range of operational improvements.
  • Getting Started: Sign up for a free trial on the Copilot Studio website, follow instructions to build and test your copilot, adjust as needed, and deploy for use in various applications or workflows.

Conversational AI is transforming how we interact with technology, making it more personalized and efficient. Microsoft Copilot Studio is at the vanguard of this change. With customizable generative AI models, businesses can enhance their operations by automating tasks and providing better customer interactions.

The ease of use offered by Copilot Studio's drag-and-drop interface means that even those without in-depth programming knowledge can create AI solutions tailored to their needs. The platform's integration capabilities ensure a seamless user experience, adapting to various business applications and workflows.


Conversational AI in Microsoft Copilot Studio

Conversational AI is a rapidly evolving technology that sits at the intersection of artificial intelligence and user interaction. It utilizes natural language processing (NLP) to enable machines to understand, process, and respond to human language in a way that is both intuitive and effective. With tools like Microsoft Copilot Studio, organizations can design AI interfaces that are not only intelligent but also highly personalized to the user's needs and the context of the conversation.

Adaptive Cards present an innovative way to further this personalization, by delivering information and responses in a format that can be customized to suit specific brand requirements and design elements. This feature empowers businesses to sculpt their AI's personality and interaction style to align closely with their brand identity. It holds the potential to revolutionize customer service, sales, marketing, and many other sectors, by making AI interactions less robotic and more human-centered.


Welcome to the insightful world of AI-powered interactions! In this YouTube video, Joe Unwin, recognized as an MVP (Most Valuable Professional), dives into the functionalities of Microsoft Copilot Studio. He outlines its prowess in generating AI and how Adaptive Cards can elevate the interaction between AI systems and users for a more personalized experience.

Demonstrating with two Adaptive Cards, Joe provides viewers with practical examples. Firstly, he introduces a straightforward card intended for collecting user feedback and demonstrates its real-time efficiency in integrating the gathered insights. Subsequently, he presents a more intricate version, custom-crafted for a particular company's brand identity, packed with interactive elements to seamlessly blend into the company’s workflow and design aesthetic.

For anyone with an interest in technology, AI, or business, this video is a treasure trove of information on personalizing AI responses using Adaptive Cards. It also serves up inspiration for those looking to implement innovative ideas into their projects. Engaging and informative, the video promises a journey into the frontiers of interactive AI design.

Your input is invaluable as Unwin encourages viewers to share their thoughts and queries in the comments section. He shows a genuine interest in audience feedback and is keen to engage in conversation with his viewers. To stay up-to-date with Unwin's latest explorations into AI and Adaptive Cards, subscribing and activating notifications for his channel is a must.

  • Copilot Studio Overview: 00:43
  • System Topics: 01:24
  • Conversational Boosting Topic: 01:47
  • Removing Default Message: 03:31
  • First Adaptive Card Example: 04:55
  • Second Adaptive Card Example: 08:45
  • Adding Gen AI V1: 09:55
  • Adding Gen AI V2: 13:33
  • Review: 17:00

With Microsoft Copilot Studio, you have access to a low-code platform that simplifies the development of conversational AI, known as copilots. These copilots serve various functions, from customer service to task automation and enhancing overall productivity.

  • Customizable generative AI models adapt to a myriad of tasks, such as language translation, creative writing, and informative responses.
  • Generative AI plugins enable system integrations, enriching the copilots' response quality.
  • User-specific manual topics capture tailored knowledge for your organization.
  • The drag-and-drop interface makes it user-friendly to create and manage AI solutions.
  • Built-in analytics aid in tracking copilot performance and identifying improvement areas.

Copilots crafted with Microsoft Copilot Studio can be rapidly developed and deployed. Their integration into existing systems enhances user experiences, productivity, and customer satisfaction significantly.

  • Copilots offer a robust solution for customer support by accelerating resolution times and user engagements.
  • IT support is revolutionized with automated tasks, troubleshooting tools, and enhanced user assistance.
  • In sales, copilots assist with personalization, product inquiries, and appointment coordination.
  • Marketing benefits from automated copy generation, social media management, and customer relationship handling.
  • HR processes are streamlined with automated onboarding, query responses, and benefit management.

To jumpstart with Microsoft Copilot Studio, one should follow the outlined steps on the studio's website. The process involves an initial sign-up, copilot selection, customization, and deployment within your business framework.



Microsoft Copilot - Enhance AI Replies with Copilot Studios Adaptive Cards


People also ask

What are generative answers in Copilot Studio?

Generative answers in Copilot Studio refer to the feature within the tool that allows for the creation of dynamic and contextual replies based on user queries and prompts. This can include generating code suggestions, auto-completing coding tasks, or providing relevant documentation or helpful resources in a conversational manner. Powered by advanced AI algorithms and machine learning models, generative answers are designed to help improve user productivity and assist with problem-solving.

How do you make a copilot?

Creating a copilot, in the context of Microsoft's Copilot Studio or similar AI-powered coding environments, involves designing an AI model that is trained on large datasets of code and programming patterns. The precise steps could include choosing the right machine learning frameworks, training the AI on domain-specific data, tuning the model for accuracy, and integrating it with development environments and tools. The resulting system should be able to understand programming contexts and offer real-time assistance and code generation based on the inputs it receives from the software developer or user.



Customize Generative Answers Responsive Design Adaptive Cards Copilot Studio User Experience Personalization Chatbots AI Integration Dynamic Content Automation