As a follow on to our recent Learn How to Build AI Agents with Temporal webinar, join Steve Androulakis and Josh Smith from our Solution Architecture team as they build on these core concepts with a more detailed demo and code walkthrough of how to use Temporal’s Agentic AI use cases.
We’ll begin with a live demo demonstrating how Temporal lets you orchestrate agentic AI workflows in a robust way that can seamlessly recover from unexpected issues (such as LLM API downtime). We’ll then transition to a code walkthrough to explore the agent event loop, connecting it with dynamic tools and goals, and enhancing it live.
There will be plenty of time for audience Q&A at the end.
Key takeawaysJoin this session to learn about:
- How you can use Temporal’s Python SDK to write agentic AI workflows, including example goals and tools for a Finserv AI agents.
- An architecture model that can be used to build general purpose AI Agents.
- How Temporal simplifies and accelerates development of AI agents with automatic state management, self-healing workflows, easy testability, and easy traceability.
- A live step-by-step demo showing how to use Temporal to build AI agents that easily handle complex, long running workflows, along with a detailed code walkthrough.
