Wednesday, April 22nd, 2026
1PM EST / 10AM PST / 6PM BST
As laboratory automation becomes more accessible, scientists are increasingly exploring AI tools to design experiments and generate protocols. Yet a critical gap remains between AI-generated instructions and scientists’ confidence in how those protocols will execute on real instruments. Without clear visibility into workflow structure, parameter choices, and physical interactions, teams can struggle to trust, adapt, and scale AI-driven automation. Bridging this gap is essential to unlocking faster experimentation and broader adoption of intelligent laboratory systems.
In this webinar, Opentrons will showcase a new approach to AI-driven protocol creation, simulation and visualization. You’ll see how domain-aware AI can translate experimental intent into detailed liquid-handling protocols, simulate the resulting output, and then move to intuitive visual representations of workflow steps, deck layouts, and parameter logic. The session will explore how protocol visualization supports verification, collaboration, troubleshooting, and onboarding, enabling scientists to move from concept to confident execution more quickly. Through real examples, we’ll highlight how combining AI protocol generation with simulation and visualization creates a more interactive, trustworthy automation experience at the bench.
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Homam Jamal
Product Manager, Opentrons
Ed Cormany
Product Manager, Opentrons