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