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.Effect is an ecosystem of tools to build production-grade software in TypeScript.Website & docsCommunity & supportFollow us on X (Twitter)Github#Effect #TypeScript #Zendesk #softwareDevelopmentSong: Dosi & Aisake - Cruising [NCS Release]Music provided by NoCopyrightSoundsFree Download/Stream: http://ncs.io/CruisingWatch: http://ncs.lnk.to/CruisingAT/youtube
(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

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