PromptQL is the first general-purpose data agent that empowers enterprises to deploy highly reliable AI systems on their own data. Built by Hasura, it brings trust, flexibility, and performance to enterprise AI.

This is the official public calendar where you can find all virtual and in-person events organized by the PromptQL team. Stay up to date with product demos, technical workshops, community meetups, and more.

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PromptQL Events

Every month, we unpack what it really takes to build 

 — AI that doesn’t just demo well, but works reliably in production, handles edge cases, and earns trust over time.

Building Business-Aware AI — From Clean Semantics to Continuous Context

Jilong Kan (Sr. Director of Engineering, Flexport)

 joins us for fireside chat of Flexport’s newly launched Insights Builder — an AI-powered tool built on top of a clean, unified semantic foundation that lets users ask plain-English questions and get real-time supply chain insights and build custom dashboards on-the-fly. But for most teams, that kind of data foundation is years away.

So what do you do in the meantime? Even Flexport’s team is evolving — adding new context, new data sources, and constantly adapting as business definitions shift. 

, the PromptQL team bust the ‘Data-Readiness’ & 'Semantic Layer' Myth

You’ll leave with practical ideas for shipping reliable AI today, even if your data isn’t “AI-ready.”

AI platform leads, semantic layer owners, and technical decision-makers working on GenAI systems that need to operate with real-world reliability and context.

Fireside chat with Jilong Kan (Sr. Director of Engineering, Flexport)

Shipping Business-Aware AI: How Flexport Built Insights Builder

Flexport’s Insights Builder gives customers the ability to transform complex data interactions, making insights and generating custom dashboards as accessible as asking a natural language question. But under the hood, this system is powered by a clean semantic foundation, meticulously built to support accuracy, extensibility, and customer context.

It’s not just about being AI-ready — it’s about staying AI-reliable as the ground shifts beneath you.

Lightning Talk + Live Demo with the PromptQL Team

Busting the ‘Data-Readiness’ & 'Semantic Layer' Myth

Teams sink years into “getting data ready,” yet static semantic layers still botch context—turning GM into General Motors, mis-counting “active” customers, and ignoring tribal knowledge locked in employees’ heads. 

Discover why this rigidity silently drains millions and how an agentic semantic layer flips the script, delivering reliable answers even as your business evolves.

Online (details to be provided upon registration)

Reliability Calls #2: Building Business-Aware AI — From Clean Semantics to Continuous Context