Scaling AI for Customer Support at Markprompt with Effect #2

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