Join us as we talk with Michael Fester from Markprompt about scaling AI-powered customer support with Effect, building reliable and high-performance infrastructure, and enhancing developer productivity in a fast-evolving AI landscape.
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- (00:00) - - Welcome & guest introduction
(01:54) - - Michael's journey: from academia to AI & Customer Support(03:49) - - What is Markprompt? Overview & use cases(07:45) - - Markprompt's system architecture(10:22) - - Challenges of running AI-powered support systems(13:20) - - Improving reliability with Effect(16:41) - - Technical architecture breakdown(19:51) - - The public API server setup(23:50) - - Ingestion engine(26:29) - - Onboarding engineers to Effect(30:51) - - Migrating the codebase to Effect(35:19) - - Effect in production: the power of schema(39:02) - - Migrating to Effect: challenges & key takeaways(41:45) - - Effect brings out the best in us engineers(45:34) - - The Future of AI infrastructure(50:18) - - Closing remarks & thanks