Many data teams are exploring generative AI, but building agent-based workflows can often be overly complex and many of these projects don’t make it to production. The reality? Most organizations don’t need agents talking to agents. They need reliable LLM workflows that solve real business problems today.

In this webinar, we’ll introduce the open-source AI SDK for Apache Airflow, built to simplify the creation of production-ready LLM workflows. These are the same patterns that have helped companies move from experimentation to results within days.

Learn from Julian LaNeve, Astronomer CTO and creator of the AI SDK, as he walks through:

• Key differences between LLM workflows and agents and when to use each
• How to integrate LLMs into your Airflow pipelines to drive quicker results with less complexity
• Real-world case studies, including how a fintech company running on Astro reached $100M ARR in 2 years by automating go-to-market operations with LLM-powered workflows
• Live demo of the AI SDK in action and see how it fits into the Airflow framework

Whether you’re experimenting with LLMs or already scaling AI in production, this session will help you focus on what matters: orchestrating practical, powerful AI solutions with Airflow.