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

Every month, we unpack what it really takes to build Reliable AI — AI that doesn’t just demo well, but works reliably in production, handles edge cases, and earns trust over time.

​In this edition, Jilong Kan (Sr. Director of Engineering, Flexport) joins us for a fireside chat about 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.

After the fireside chat, 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.”

00:00 Agenda
00:53 Fireside chat: How Flexport Built ‘Insights Builder’
25:11 Insights Builder - Live walkthrough
42:32 Busting the ‘Data-Readiness’ & ‘Semantic Layer’ Myth
01:06:56 PromptQL Testimonials
01:08:05 Wrap : )

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PromptQL is the AI platform that delivers human-level reliability for natural language-based analysis and automation on your data & systems.

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