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Cause & Effect · Mar 7, 2025 · 52 min

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. Effect is an ecosystem of tools to build production-grade software in TypeScript. Website & docs Community & support Follow us on X (Twitter) Github #Effect #TypeScript #Zendesk #softwareDevelopment Song: Dosi & Aisake - Cruising [NCS Release] Music provided by NoCopyrightSounds Free Download/Stream: http://ncs.io/Cruising Watch: 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

0:00 · - Welcome & guest introduction-52:51
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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.

#Effect #TypeScript #Zendesk #softwareDevelopment

Song: Dosi & Aisake - Cruising [NCS Release]
Music provided by NoCopyrightSounds
Free Download/Stream: http://ncs.io/Cruising
Watch: 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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