Engineering models are growing in scale, fidelity, and complexity - often faster than teams can build, validate, and maintain them. The Dyad Agent is designed to close that gap by acting as an intelligent, model-aware assistant that helps engineers construct, extend, and reason about system models more efficiently.
In this webinar, we will introduce the Dyad Agent: what it is, how it works, and where it fits into modern model-based engineering workflows. We will walk through practical usage patterns, including how the agent interacts with Dyad models, libraries, and simulation results to accelerate common tasks such as model creation, refactoring, debugging, and exploration. We will also cover best practices for prompting, scoping, and validating agent-generated outputs to ensure correctness and engineering rigor.
The session will conclude with a concrete end-to-end example showing the Dyad Agent in action—demonstrating how it can assist with building a system model, modifying components, and answering model-specific questions grounded in the underlying physics.
This webinar is intended for engineers and technical practitioners interested in combining acausal modeling with AI-assisted workflows to move faster without sacrificing model transparency or trust.
