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The Copilot Connection

Author: Zoe Wilson and Kevin McDonnell

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Welcome to Copilot Connection, the podcast that explores the world of Microsoft Copilots! Join your hosts, Zoe Wilson and Kevin McDonnell, as they take you on a journey through the different Copilots available and how they can help you in your day-to-day life. From the newly launch date announced Microsoft 365 Copilot to the Dynamics 365, GitHub, Windows, Custom and more Copilots, we'll cover it all. Our upbeat and engaging conversations with experts in the field will keep you entertained and informed. Tune in to Copilot Connection and discover how these AI-powered assistants can transform the way you work!

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54 Episodes
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Microsoft helped us make an episode this week but dropping some big Copilot news! In this episode, Zoe and Kevin dig into some of the news related around Copilot Wave 3, talk about what the recent org changes at Microsoft will mean and also highlight some of the upcoming events going on.Useful links:Zoe and Kevin keynote the Copilot Community Conference - Copilot Community Conference 2026Experts Live UKScottish SummitCall for speakers for Scottish Summit still openRajesh Jha retiringCopilot Leadership TeamFrontier SuiteCopilot Wave 3SharePoint at 25Copilot Cowork
In this episode of Copilot Connection, Zoe and Kevin are joined by Diana Wolfe, Head of Research & Strategy at Kyndryl, to explore one of the biggest challenges facing organisations today: the widening gap between AI ambition and AI implementation. Together, they unpack why so many companies struggle to realise value from AI investments, what human‑centred change looks like in an era of agentic AI, and how trust, psychological safety, and redesigned roles shape successful adoption.The conversation covers everything from workflow automation myths and cognitive overload to organisational silos, identity shifts, and the realities of embedding AI into everyday work. Expect thoughtful insights, a few laughs (including designer chickens and the underpants gnomes), and practical guidance on how individuals, leaders, and change practitioners can navigate the next phase of AI‑driven transformation.Tune in to learn why the future of AI isn’t just about technology—it’s about people, systems, and redefining what meaningful work looks like.TakeawaysAI implementation requires a holistic approachThe integration of AI technology presents multifaceted challenges AI adoption is evolving rapidlyHuman systems integration is crucial for responsible AI implementation
Send us a textIn this episode of The Copilot Connection, hosts Zoe Wilson and Kevin McDonnell are joined by Tricia Sinclair (Microsoft MVP and Avanade’s Global Lead for Contact Center & Customer Service) to explore the evolving role of AI in customer service and contact centres. They discuss how new Copilot AI agents like Case Management Agents and Intent Agents can automate processes such as email triage and understanding customer inquiries, and why many organizations are piloting these tools internally before rolling them out to customers. The conversation dives into adoption challenges – from ensuring quality data and training models to navigating consumption-based costs – and highlights governance solutions like the new Agent Hub for monitoring and controlling AI deployments. Tricia also shares insights on integrating these Copilot capabilities across the broader Microsoft ecosystem (with hints at what’s coming next) and emphasizes the bigger picture: using AI to augment, not replace human agents. The episode wraps up with a thoughtful discussion on the ethical and workforce implications of AI in contact centres, including the importance of maintaining human empathy, addressing potential biases, and keeping customer trust front and centre.Key topics covered:Case Management & Intent Agents – Automating case triage and identifying customer intent using AI.Internal vs. External Deployment – Strategies for introducing Copilot agents on internal service desks before customer-facing use.Adoption Challenges & Costs – Data readiness, model training, consumption-based pricing, and ensuring ROI for AI solutions.Agent Hub & Governance – Using Microsoft’s Agent Hub to track, manage, and govern Copilot AI agent usage and performance.Integration with Microsoft Platforms – How Copilot agents tie into the wider Microsoft stack and upcoming cross-platform capabilities.AI’s Impact & Ethics – The balance between AI and human agents, potential job impacts, and the need for fairness, empathy, and transparency in AI-driven customer service.p.s. decided to try Researcher agent looking at previous summaries to generate this summary. Let us know what you think!
Ep 37 - Coding Agents

Ep 37 - Coding Agents

2026-01-3001:17:25

Send us a textThis week, Kevin McDonnell and Garry Trinder explore the world of coding agents and how they could change software development. They run through what coding agents are along with the importance of context, memory, and specifications in using AI tools effectively. Also, they think about how you need to change habits and also touch on the challenges faced by junior developers in adapting to AI technologies, the role of personality in AI agents, and the future of work with AI. This isn't just the joy of agents though, this is about the need for security and ethical considerations when integrating AI into development processes, while also encouraging developers to embrace the potential of AI to enhance productivity and creativity.Takeaways:Coding agents represent the next leap in development tools.Understanding the context and instructions is crucial for effective use of coding agents.Memory in coding agents can enhance their effectiveness and personalization.Specifications and guidelines are still important in the age of AI.Junior developers should balance learning coding principles with using AI tools.AI can automate repetitive tasks, freeing up time for developers.The personality of AI agents can enhance user experience and engagement.Skills in AI can create repeatable processes for developers.The impact of AI on junior developers raises concerns about learning and understanding code.Security and ethical considerations are vital when using AI agents.Links:Github Copilot CLI - https://github.com/features/copilot/cli/Claude Code - https://claude.com/product/claude-codePatrick Rogers power of Coding Agents - https://www.linkedin.com/posts/patrick-rodgers-b6a05610_i-love-to-write-code-ive-been-a-programmer-activity-7422672723191058432--Ob_Shipping at Inference Speed - https://steipete.me/posts/2025/shipping-at-inference-speedClaude Skills - https://support.claude.com/en/articles/12512176-what-are-skillsAnthropic Skills Repo - https://github.com/anthropics/skills/tree/main/skills/slack-gif-creatorOpen Code - https://opencode.ai/Moltbot Soul - https://github.com/openclaw/openclaw/blob/main/docs/reference/templates/SOUL.mdMoltbot - https://moltbot.you/Moltbook - the first agent social network? - https://www.moltbook.com/https://www.moltbook.com/post/ef3ea419-6c29-4046-9946-d636efe972eaBe careful with Moltbot/Clawdbot:https://www.linkedin.com/posts/elishlomo_security-activity-7421867291459391490-a0B1/https://x.com/theonejvo/status/2015401219746128322https://x.com/borjitaea/status/2015745063909839091?s=46
Send us a textHappy new year to you all! In this episode, Zoe and Kevin take a short look at what happened with Copilot and with themselves in 2025, a short view on what they think and hope will happen with Copilot and AI in 2026 but focus most of the time on digging into the latest Microsoft Future of Work report that their science team has been making for the last 5 years. They explore themes such as AI judgment, collaborative AI, and the implications of inequality in the workplace amongst other things.TakeawaysAgent 365 has the potential to greatly impact organizational efficiency and control.Simplification in Copilot Studio and Chat enhances user experience and accessibility.Agents play a crucial role in simplifying complex AI functionalities.Fireside chats and workshops have been key highlights in community engagement.Recognition through awards fosters motivation and visibility in the tech community.The Future of Work report provides valuable insights into AI's impact on labor markets.AI judgment and perception can affect workplace dynamics and relationships.Collaborative AI is essential for enhancing teamwork and productivity.Key linksFuture of work reportTailwind newsSalesforce refocussing rolesJamie Teevan's keynote at ESPC
Send us a textIn this episode of Copilot Connection, Kevin McDonnell and Garry Trinder discuss the latest developments from the Ignite Conference. They delve into the renaming of Azure AI Foundry to Microsoft Foundry, the new features of the Foundry portal, and the integration of Claude models. The conversation also covers the importance of experimentation with language models, updates on the Teams SDK, and the nuances of the Agent 365 SDK. In this conversation, Garry and Kevin delve into the latest advancements in Microsoft 365, focusing on Agent 365, MCP servers, and the integration of low-code solutions. They discuss the potential of natural language processing in enhancing user interactions, the significance of declarative agents, and the importance of responsible AI practices, particularly in the context of red teaming. They may also chuckle at renames more than they should...TakeawaysRenaming products often indicates a broader vision beyond their original scope.The new Microsoft Foundry portal simplifies the process of managing AI agents.Publishing agents to Teams and Copilot has become more streamlined and user-friendly.Claude models are now integrated into the Microsoft ecosystem, enhancing AI capabilities.Experimentation with different language models is crucial for optimizing performance.Understanding the purpose of each tool in the Microsoft ecosystem is key to effective use.The Teams SDK has been rebranded, reflecting its expanded functionality.The Agent 365 SDK builds on existing frameworks to enhance agent capabilities.MCP servers need to be exposed for use.Low code options are available for MCP management.Declarative agents are evolving with TypeSpec innovations.Red teaming is essential for testing AI agents.Responsible AI practices are crucial in agent development.User feedback is vital for improving Microsoft technologies.MCP is becoming a standard for data interaction.LinksIgnite Book of News Azure AI Foundry is now Microsoft FoundryDeploy and use Claude models in Microsoft Foundry - Microsoft Foundry | Microsoft Learn Teams AI Library is now Microsoft Teams SDKMicrosoft Graph is Work IQ....Agent 365 SDK MCP Management ServerKevin's example of MCP in Copilot Studio Type spec GA Connected agents Red Teaming agent  Copilot APIs
Send us a textAfter last week's Ignite conference in San Francisco, Zoe and Kevin run through the key updates around the different areas of Copilot, covering topics like:- Microsoft Agent 365- Work IQ- Microsoft 365 Copilot updates- Thoughts on the location and keynotePlus we highlight a few of the upcoming ESPC sessions to keep an eye out for.Ignite Book of News 2025Microsoft Agent 365Work IQ and other Microsoft 365 Copilot updatesAgent Mode in Office
Send us a textWith Ignite just a week away, Zoe and Kevin got together to pick out some interesting sessions as well as several chats about what the key themes coming across are. Naturally, Copilot and agents were our main focus but there were also a couple of other areas that caught our eye.See the sessions at https://ignite.microsoft.com.Sessions mentioned (or that we ran out of time to mention):- BRK402 Our Agentic Era: Building Accessible and Responsible AI for Everyone Low code- BRK1742 Advanced Agent Development with Copilot Studio- BRK 314 -Building agents with Copilot Studio and Azure AI Foundry Pro code - lots about scaling- BRK1706 - Innovation Session: Your AI Apps and Agent Factory- BRK189 AI agents in Azure AI Foundry, ship fast, scale fearlessly- BRK411 Beyond Models: What No One's Telling you about Scaling Agents Securing and managing agents- BRK306 Innovation Session: Latest AI agent innovation in security, control and productivity- BRK265  Secure access for AI agents with Microsoft EntraIn-person- THR821 Copilot for Physical AI- THR763 Copilot & agent intelligence: Reporting for frontier firms- THR759 Copilot Trust & Safety: Controls to manage AI riskOne for fun- BRK 432 Scott & Mark learn to connect the dotsNot mentioned but still interesting- BRK292 Fireside chat: How customers are unlocking value & growth with Copilot- BRK319 Build Agents for Copilot with the Microsoft 365 Agents Toolkit- BRK167 Maintain regulatory compliance with the Microsoft Sovereign Cloud- BRK288 SharePoint: The Knowledge Platform for Copilot and Agents- BRK281 Unlocking the all-in-one AI Advantage of Microsoft 365 Copilot
Send us a textIt has been a little while since the last episode with Zoe and Kevin so they share some of their own news on why things have been a little quieter over the summer and then discuss the latest updates and news from Microsoft 365 Copilot. We recap recent events, including the Collab Summit North America, Experts Live UK conference, and share our upcoming events. On the news side we delve into significant announcements from lasast couple of months, including the introduction of the Knowledge Agent to "Frontier Firms", licensing changes, and the implications of GPT-5. Plus, Zoe pulls off some awesome dance moves without even realising it.AI powered TakeawaysThe Knowledge Agent aims to enhance knowledge management within organizations.Licensing changes are designed to encourage broader adoption of Copilot features.AI's role in the workplace is becoming increasingly significant.Organizations must address foundational knowledge management issues to leverage AI effectively.The conversation highlights the need for ongoing discussions about AI's impact on work and society.Useful linksAgentsIntroducing Knowledge Agent in SharePoint | Microsoft Community Hubhttps://demos.microsoft.com/microsoft/play/5140/knowledge-agents#/0/0 Microsoft 365 Copilot: Enabling human-agent teams | Microsoft 365 BlogMoving sales, service, and finance to the Frontier with Microsoft 365 Copilot | Microsoft 365 BlogLicensinghttps://learn.microsoft.com/en-us/microsoft-copilot-studio/billing-licensingGPT 5https://www.microsoft.com/en-us/microsoft-365/blog/2025/08/07/available-today-gpt-5-in-microsoft-365-copilot/Copilot Chat in Office Appshttps://techcommunity.microsoft.com/blog/microsoft365copilotblog/copilot-chat-comes-to-the-microsoft-365-apps/4453349Viva Engage in Copilot Viva Engage Public Content is Now Available in Microsoft 365 Copilot | Microsoft Community HubCopilot Mode in Edgehttps://www.microsoft.com/en-us/microsoft-copilot/blog/2025/08/07/release-notes-august-7-2025/Deal with US GovernmentAccelerating AI adoption for the US government - The Official Microsoft BlogCopilot Memoryhttps://techcommunity.microsoft.com/blog/microsoft365copilotblog/introducing-copilot-memory-a-more-productive-and-personalized-ai-
Send us a textKevin McDonnell and Garry Trinder delve into the world of Model Context Protocol (MCP) and its implications for developers. We start with a starter overview of functionality of MCP and why it is important. However, we wanted to get beyond that initial view that is covered elsewhere and look at some of the challenges associated with using MCP and broader considerations that you need to be looking at. The conversation covers the importance of optimizing documentation for language models, governance in MCP usage, and strategies for getting started with MCP and then scaling. TakeawaysMCP is a universal approach to context in AI.MCP servers can execute actions beyond API calls.Optimizing documentation for LLMs is essential for effective AI integration.Trust and governance are critical in using MCP servers.MCP can significantly enhance productivity in software development.Building an MCP server can be straightforward and quick.MCP allows for local execution of actions, enhancing flexibility.The future of MCP involves more robust governance and control mechanisms.Organizations should develop a strategy for managing MCP servers.Experimentation with MCP can lead to unexpected benefits and insights.Useful linksIntroduction - Model Context ProtocolGetting started with Local MCP Servers on Claude Desktop | Anthropic Help Center and For Claude Desktop Users – Model Context Protocol (MCP)Use MCP servers in VS Code Community built Graph MCP Server - GitHub - merill/lokka: MCP (Model Context Protocol) for Microsoft 365. Azure AI Search:Full text search - Azure AI Search | Microsoft LearnVector search - Azure AI Search | Microsoft LearnHybrid search - Azure AI Search | Microsoft LearnMCP for beginners course - GitHub - microsoft/mcp-for-beginnersMCP Dev Days 29th/30th July (and available on demand after) - MCP Dev Days | Microsoft ReactorMicrosoft MCP Lab - GitHub - microsoft/mcsmcp: Lab for creating an MCP Server and using it in Microsoft Copilot Studio.Microsoft's MCP Server collection - GitHub - microsoft/mcp: Catalog of official Microsoft MCP (Model Context Protocol) server implementations for AI-powered data access and tool integrationCLI for m365 MCP server - GitHub - pnp/cli-microsoft365-mcp-server: Manage Microsoft 365 using MCP serverGitHub - dotnet/dev-proxy: Simulate API failures, throttling, and chaos — all from your command line.
Send us a textWelcome to a brand new way of hearing about the latest Copilot extensibility news! In this episode of the Copilot Connection, Kevin swaps out Zoe for Garry Trinder in the first of a spin-off of episodes where we dig deeper into the extensibility side of Copilot.In this first episode, we go into an overview of the options that you have for extending Copilot. We talk cover why you would need to extend Copilot, the different ways you can do that (whether by end user, maker or specialist) and touch a little on how you can actually get started with doing it.Is there a specific topic that you'd like to see us cover? Let us know!TakeawaysExtensibility in Copilot allows developers to create tailored solutions.Understanding AI maturity is crucial for effective implementation.Personalization of AI tools enhances user experience and productivity.Scoping and context are essential for effective use of Copilot.Integrating external knowledge sources can enhance AI capabilities.Balancing deterministic and non-deterministic approaches is key in AI applications.Declarative agents simplify the process of building AI solutions.Responsible AI practices are necessary when developing custom solutions.Continuous learning and adaptation are vital in the evolving AI landscape.Related linksCopilot extensibility learning pathsCopilot camp - no actual camping requiredCommunity samplesPro dev community samples
Send us a textWith the post Build lull in Microsoft news, Zoe and Kevin decided to take a look at some of the upcoming conferences and recommend a few sessions that stood out in the Copilot and agents space. Firstly though, we couldn't resist talking a bit about the collapse of Builder.ai and the re-org of some of the Engineering management teams at Microsoft.We also covered our next Copilot Fireside Chat where Daniel Laskewitz will be joining us to answer your questions on Copilot Studio, MCP and whatever else takes your fancy.News:Microsoft-backed AI startup chatbots revealed to be human employees | MashableMicrosoft’s LinkedIn chief is now running Office as part of an AI reorg | The VergeConferences covered:European Power Platform Conference | Austria | Jun 16-19, 2025Commsverse 2025 - The Microsoft Teams Conference - Jun 18-19 2025Tech Con 365 Seattle - June 23-27 2025Collab Summit North America - Sep 7-9 2025ESPC25 | Conference | Ireland | Dec 1-4, 2025Other ones we mentioned:Collab Days Netherlands - June 21 2025CollabDays Hamburg 2025 - June 28 2025CollabDays Finland 2025 - 11 Sep 2025Experts Live UK 2025 - 16 Sep 2025CollabDays Bletchley Park 2025 - 24 Sep 2025South Coast Summit - 17-18 Sep 2025Check out other conferences at Community Days.TakeawaysInvestors need to scrutinize AI startups more closely.The importance of responsible AI practices is paramount.Microsoft's leadership changes signal a new direction.AI's impact on employment is a growing concern.Community conferences are vital for networking and learning.AI literacy is essential for effective use of technology.Clothespilot demonstrates practical AI applications.Engaging with the community enhances knowledge sharing.Fireside chats provide valuable insights from industry experts.
Send us a textIn this episode of Copilot Connection, hosts Zoe and Kevin discuss the latest updates and insights from the Microsoft Copilot ecosystem from Build as well as a slight detour to the Chelsea Flower Show. We cover topics like M365 Copilot tuning, notebooks, researcher and analyst agents, and SRE agents. We also explore the implications of AI Foundry and the natural language web, while wrapping up with a look at upcoming events and the importance of community engagement.TakeawaysThe Chelsea Flower Show showcased innovative AI applications in gardening.M365 Copilot tuning can transform industries like legal with tailored solutions.Notebooks in Copilot provide a flexible way to organize and query content.Researcher and Analyst agents enhance data analysis and decision-making processes.AI Foundry allows for local model integration, expanding AI capabilities.SRE agents automate software reliability tasks, improving efficiency.Natural language web features enable more intuitive website interactions.Community-driven initiatives are crucial for the development of AI tools.Microsoft's Build conference highlighted significant advancements in AI technology.The importance of ethical considerations in AI deployment is paramount.LinksAvanade Intelligent Garden Book of News - https://news.microsoft.com/build-2025-book-of-news/Copilot TuningIntroducing Microsoft 365 Copilot APIsAnnouncing Microsoft Entra Agent ID: Secure and manage your AI agents | Microsoft Community Hubmicrosoft/AI-Red-Teaming-Playground-Labs: AI Red Teaming playground labs to run AI Red Teaming trainings including infrastructure.NL Web Introducing NLWeb: Bringing conversational interfaces directly to the web - Source and Debugging GenAI with CAPs + NLWeb + OpenTelemetry: A Real-Time Visibility Unlock | LinkedInIntroducing Microsoft 365 Copilot APIsReddit post on SRE agent being used in the dotnet repo My new hobby: watching AI slowly drive Microsoft employees insane : r/ExperiencedDevsPower Apps Studio with Agent FeedReimagining human-agent collaboration for a new era of app development with Microsoft Power Apps - Microsoft Power Platform BlogWalkthrough of agent feed in Power Apps - users and ma
Send us a textNews, news, news - we have lots of new news! Zoe and Kevin discuss the latest announcements from Microsoft about Copilot Wave 2 Spring Release. We delve into the significance of the Work Trend Index, the new user interface and search experience, and the introduction of memory and notebooks features. Then we dig into the management and reporting of agents, the concept of the human-agent ratio (including some extreme reactions to some new phrases from Microsoft...) and the importance of leadership in leveraging AI capabilities. Finally, we cover some of the magical events coming up.TakeawaysWave 2 announcements from Microsoft include significant updates and features.The Work Trend Index is crucial for understanding productivity trends.A new user interface is being introduced for a better user experience.Memory features will enhance user interactions with Copilot.Notebooks will allow users to group and summarize conversations.The Create Experience will simplify content creation across platforms.Agent management is becoming more streamlined with the Frontier Program.Understanding the human-agent ratio is essential for effective delegation.Upcoming conferences will provide opportunities for community engagement.Sound Bites"The skill of delegation is something that everyone wanted to get.""Minutes saved isn't cashable.""It definitely feels like conference season is in full swing."
Send us a textIn this episode of Copilot Connection, Zoe and Kevin are joined by Gary Raife to discuss the transformative potential of AI and Microsoft Copilot in the healthcare sector. We explore the challenges of interoperability, the role of AI in enhancing patient care, and the exciting developments of Dragon Copilot. The conversation also touches on the integration of personal health data, the importance of trust and transparency in AI applications, and the future of healthcare driven by data and technology.TakeawaysHealthcare presents a significant opportunity for AI integration.Interoperability remains a critical challenge in healthcare systems.AI can enhance patient experiences and streamline workflows.Dragon Copilot introduces ambient listening capabilities for clinicians.Wearable technology can provide valuable health data for monitoring.Trust and transparency are essential for AI adoption in healthcare.Personal health data integration can improve patient outcomes.AI should support clinicians rather than replace them.The future of healthcare will be increasingly data-driven.Collaboration between technology and healthcare professionals is vital. Key linksGary's blogNewsIntroducing Researcher and Analyst in Microsoft 365 Copilot | Microsoft 365 BlogCopilot Consumer Updates - Your AI Companion - The Official Microsoft BlogNew capabilities in Azure AI Foundry to build advanced agentic applications  | Microsoft Azure BlogInterpreter AgentInterpreter in Microsoft Teams meetings - Microsoft SupportKevin's view of Interpreter AgentCopilot Studio Toolkit updates announcedmicrosoft/Power-CAT-Copilot-Studio-KitIntroduction - Model Context ProtocolAnnouncing the Agent2Agent Protocol (A2A) - Google Developers BlogHealthcare relatedMeet Microsoft Dragon Copilot: Your new AI assistant for clinical workflow - Microsoft Industry BlogsMicrosoft Cloud for Healthcare | Microsoft
Send us a textHow responsible are you with AI? Zoe Wilson and Kevin McDonnell are joined this week by Chris Huntingford (Director of AI at ANS among many other things!), focusing on responsible AI practices, data management, and the socio-economic impacts of technology. We covered the importance of transparency, accountability, and ethical practices in AI implementation. The discussion also touches on the cultural shifts required for successful AI adoption, the challenges of governance in AI systems, and the future of AI agents.We also had an amazing announcement for the Copilot Fireside Chat that you can hear at the end! Or get a sneak peak on the Fireside Chat site.Key takeaways:The importance of responsible AI practices is paramount.Data management and compliance are critical in the AI landscape.Socioeconomic impacts of AI technology must be considered.Education and critical thinking are essential for future generations.Creativity should not be overshadowed by AI advancements.AI-generated content can lead to a decline in quality and creativity.Legal accountability for AI deployment is necessary.Individuals must advocate for ethical AI practices.The EU AI Act sets important standards for AI accountability.Community engagement is vital for responsible AI development. Transparency is crucial in AI deployment.Shared responsibility involves vendors, deployers, and users.Accountability must be established at all levels.Data quality directly impacts AI outcomes.Cultural shifts are necessary for effective AI adoption.Governance in AI is more important than ever.Organizations should focus on training rather than cutting jobs.AI implementation requires careful planning and testing.Responsible AI practices must be prioritized.The future of AI agents needs robust governance frameworks.
Send us a textIn this episode of Copilot Connection, Kevin goes solo and dives deep into the world of Microsoft Copilot, exploring the intricacies of prompt engineering and the practical applications of prompts in enhancing productivity. He discusses various techniques for effective prompting, the significance of community contributions, and how to utilize the Copilot prompt gallery to streamline workflows. The conversation emphasizes the evolving nature of AI and the need for users to adapt and refine their approaches to maximize the benefits of generative AI tools.TakeawaysPrompt engineering is best for effective AI interaction but not essential.Understanding agentic threats is essential for security and OWASP can help.Community resources can enhance learning and application.Utilizing the Copilot prompt gallery can streamline workflows.Advanced prompting techniques can lead to better outcomes.Regularly revisiting and refining prompts is beneficial.AI can assist in complex problem-solving scenarios.Diversity of thought is important in AI applications.Practical applications of prompts can save time and effort.Engagement with the community fosters knowledge sharing.Useful linksNews:OWASP agentic threats https://www.linkedin.com/posts/jsotiropoulos_aisecurity-agenticai-owasp-activity-7297385436925095937-vQmgBeginner guide for agents https://www.linkedin.com/posts/donasarkar_happy-valentines-day-friends-as-a-activity-7296237085194084352-db7oNew AI models include a gaming model https://www.geekwire.com/2025/microsoft-reveals-new-gaming-focused-generative-ai-model-muse-that-could-revive-classic-games/Fabian Williams bring us some agentic magic with CAPs https://www.linkedin.com/posts/fabiangwilliams_autonomous-multi-agent-group-chat-working-activity-7297051837969358848-R4zGPrompts:Crafting effective prompts https://techcommunity.microsoft.com/blog/microsoft365copilotblog/getting-the-most-from-the-copilot-prompt-gallery/4383106Prompt Engineering Guide | Prompt Engineering GuideBest practices for prompt engineering with the OpenAI API | OpenAI Help Center Stefan Bisser’s tool to write prompts https://www.linkedin.com/posts/stephan-bisser_agent-instructor-visual-studio-marketplace-activity-7298292501763780610-OAYWPrompts of the week pnp/copilot-prompts: Examples of p
Send us a textIn this episode of Copilot Connection, Zoe and Kevin discuss the latest roadmap items for Microsoft 365 Copilot, highlighting Teams, Microsoft 365 apps, Extensibility, SharePoint, Admin and Purview. Hear about the latest batches coming in February and March and what it could mean to you.TakeawaysRoadmap updates indicate a significant increase in available tools and capabilities.Teams updates focus on enhancing collaborative productivity.Accessibility features are being prioritized in new updates.The ability to analyze on-screen content will improve meeting experiences.Voice recognition technology will enhance transcription accuracy.Upcoming updates will roll out in batches, indicating a fast-paced development cycle.Developers will soon have tools to create custom agents for Copilot.Extensibility is becoming more tangible and accessible for organizations.The integration of AI into business processes is crucial for future productivity.The new SharePoint features allow for better content discoverability management.Viva Connections cards will enhance Copilot functionality.Usage reports for integrated apps will provide valuable insights.Microsoft Purview is improving security management capabilities.Data Loss Prevention will restrict Copilot processing on sensitive content.Identifying risky AI usage is crucial for security.Real-life use cases of AI agents are emerging.Upcoming events will provide more insights into AI advancements.The conversation around AI is evolving rapidly.Engagement with the community is essential for knowledge sharing.Key linksRoadmap - TeamsRoadmap - M365 AppsRoadmap - ExtensibilityRoadmap - SharePoint and AdminRoadmap - Purview
Send us a textIn this episode of Copilot Connection, hosts Zoe Wilson and Kevin McDonnell discuss the evolution of Microsoft's Copilot ecosystem, including the recent announcement of Microsoft 365 Copilot Chat. They explore the implications of AI agents in business, insights from the Microsoft Research Future of Work report, and the importance of democratizing access to AI technologies. Finally, we talk about our exciting guest for the next Copilot Fireside Chat and her new team.TakeawaysPowered by Riverside AIThe Copilot ecosystem has evolved significantly over the past 18 months.Microsoft 365 Copilot Chat aims to provide a unified experience for users.AI agents can democratize access to technology for frontline workers.Organizations need to balance AI adoption with sustainability concerns.The Future of Work report highlights the importance of readiness in organizations.Multi-agent systems have great potential but require further research.User experience design is crucial for effective AI integration.Real-world examples are needed to demonstrate the value of AI agents.The conversation around AI should focus on responsible and sustainable use.Engagement with the community is essential for successful AI adoption.Mentioned linksCopilot ChatM365 hero blog: https://aka.ms/copilotchatCopilot Studio blog (includes pricing info): http://aka.ms/mcscopilotchatDaniel Rohregger's post of different costs https://www.linkedin.com/posts/drohregger_what-does-the-new-payg-for-agents-in-copilot-activity-7285909965200904192-Djls?utm_source=share&utm_medium=member_desktopFuture of Work report - https://www.microsoft.com/en-us/research/publication/microsoft-new-future-of-work-report-2024Debates with SaleforceFull GenAI panic at Salesforce? | LinkedInClippy 2.0 is better than Agentforce 2.0?Dona's call to action - Post | Feed | LinkedInSign up for Copilot Fireside Chat - Copilot Fireside Chat
Send us a textIn this episode, Zoe and Kevin discuss their thoughts on the biggest topics of the year in Copilot and what that means for next year before Kevin goes solo to talk about the importance of building a comprehensive AI strategy centered around Microsoft Copilot. They explore the evolution of AI tools, the need for alignment with organizational goals, and the significance of understanding agents and their capabilities. The conversation also delves into measuring success and ROI in AI implementation, the future of AI tools, governance and compliance, and the role of generative AI in business processes. They emphasize the need for a Center of Excellence to support AI initiatives and prepare for the future of work.TakeawaysBuilding an AI strategy is essential for effective implementation.Alignment with organizational goals reduces risk and enhances productivity.Understanding the capabilities of AI agents is crucial for their effective use.Measuring success in AI implementation goes beyond ROI; consider overall impact.Democratization of AI tools will make them accessible to more users.Governance and compliance are critical in the responsible use of AI.Generative AI can enhance business processes but should be used judiciously.The hype cycle illustrates the fluctuating expectations of AI tools.Preparing for the future of work involves understanding AI's evolving role.A Center of Excellence can facilitate the successful adoption of AI.Key linksFuture of work report 2024GitHub Copilot free tierSimon Owen talking of CoE and C4E in his blog
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