Introducing Simulink Copilot and Generative AI for Model-Based Design
Generative AI accelerates the design, simulation, and testing of engineered systems. It can be applied in different ways, including interactive assistance in your development environment and integration with external AI agents. When combined with trusted tools such as Simulink and Model Based Design, generative AI can operate directly within engineering workflows, using model context to provide reliable guidance and automation. This webinar introduces two ways to bring generative AI into your work with Simulink and helps you decide when to use them based on your setup and needs. - Simulink Copilot is an AI assistant optimized for Simulink. It provides generative AI-powered features within Simulink to explain models and errors, learn tools and techniques, get design guidance, and automate predefined tasks within Process Advisor. Learn more about Simulink Copilot: https://bit.ly/simulink-copilot - Simulink Agentic Toolkit connects Simulink to agentic AI workflows. It gives your AI agent the tools and the expertise needed to work effectively with Simulink models. It builds on top of the MATLAB MCP Core Server and connects AI agents to Simulink using the Model Context Protocol (MCP). Curated skills guide AI agents to the right tools for Model-Based Design. Learn more about the Simulink Agentic Toolkit: https://bit.ly/simulink-agentic-toolkit Chapters: 00:00 Introduction: Generative AI for Model-Based Design 00:30 Agenda and Session Overview 00:57 Why Generative AI Matters for Engineering 01:33 Speed vs Quality: The Core Challenge 02:26 Combining Gen AI with Model-Based Design 03:18 Two Pathways: Copilot vs Agentic Toolkit 04:02 What is Simulink Copilot? 05:06 Copilot vs Agentic Toolkit: When to Use Each 06:21 Copilot Vision and Capabilities 08:00 Demo: Copilot for Design Guidance and Tools 09:03 Demo: Understanding a Model with Copilot 11:02 Demo: Natural Language Model Search 11:51 Deeper Insights Mode for Advanced Analysis 12:49 Demo: Making Changes with Copilot 13:45 Demo: Debugging and Error Resolution 14:39 Transition to Simulink Agentic Toolkit 15:09 The Rise of Agentic AI in Engineering 16:15 MCP and Connecting AI Agents to Simulink 16:30 What the Agentic Toolkit Enables 17:03 Demo: AI Agent Building a Motor Model 18:53 Toolkit Overview: Tools and Skills 21:41 Automating Test, Fix, and Verify Workflows 22:51 Demo: Debugging a Stability Control System 24:33 From Requirements to System Architecture 25:36 Automating Requirements and Traceability 26:26 Auditing and Fixing Missing Requirement Links 30:30 Generating Stateflow from Requirements 32:35 Building and Validating Complex Systems 33:56 Automating Simulation Data and Analysis 34:51 Refactoring Models for Maintainability 35:36 Final Comparison: Copilot vs Agentic Toolkit 36:10 Resources and Next Steps -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2026 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.