Most AI interactions today are transactional: you prompt the bot, it answers, and the interaction ends. But the future of enterprise AI is long-running agents that work autonomously in the background for weeks or months, asking for human input only on key decisions.
Scale AI recently open-sourced Agentex to make this possible, partnering with Temporal to provide the durable execution layer necessary for reliability. By combining Agentex's orchestration with Temporal's ability to survive failures and wait indefinitely, developers can now build agents that manage extended workflows--like construction procurement--without the reliability woes of standard scripts.
In this webinar, experts from Scale AI and Temporal will sit down to discuss the architecture behind these self-driving agents. We will explore how to flip the paradigm from "humans prompting AI" to "AI prompting humans," followed by a deep dive into the code.
Join this webinar to:
Staff Software Engineer
Scale AI
Jason Yang is a Staff Software Engineer and is a founding engineer of Scale's enterprise team. As a co-inventor of the Agentex platform, he has a deep background in distributed systems and infrastructure, and he has worked with a number of Fortune 500 customers deploying Agentic use cases in production.
Senior Software Engineer
Scale AI
Daniel Miller is a Senior Software Engineer on Scale AI's AgentEx platform team, where he builds production AI systems that automate workflows and solve real business problems at scale. With a background in distributed systems and backend infrastructure, he now focuses on making agentic systems actually work in production, not just in demos.
Senior Staff Solutions Architect, AI
Temporal Technologies
Steve Androulakis is an AI Solutions Architect at Temporal, helping some of the world's top AI companies build faster, at scale. He spent 5 years at Amazon/AWS in Sydney Australia and Seattle. Before that, he worked for a decade in biomedical research, helping scientists interpret complex data. He's passionate about introducing AI teams to Temporal and witnessing their "lightbulb moment" when they grasp its potential to transform the way they build agents and other sophisticated AI apps.
