Cover Image for πŸ¦„ ai that works: Event-driven agentic loops
Cover Image for πŸ¦„ ai that works: Event-driven agentic loops
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Boundary
We make BAML, a programming language for using LLMs. Some event recordings are available here: https://github.com/hellovai/ai-that-works
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πŸ¦„ ai that works: Event-driven agentic loops

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About Event

β€‹πŸ¦„ ai that works

​A weekly conversation about how we can all get the most juice out of todays models with @vaibcode & @dexhorthy

​https://github.com/ai-that-works/ai-that-works

​How an event sourcing architecture enables clear type-safe behavior, interrupts, queueing, and more for complex interactive agents.

​In this episode, we'll explore:

  1. ​Event sourcing fundamentals for agents

  2. ​Type-safe event handling patterns

  3. ​Implementing interrupts and queueing

  4. ​Building resilient agent workflows

​Pre-reading

​To prevent repeating the basics, we recommend you come in having already understanding some of the tooling we will be using:

  • ​Discord

  • ​Cursor or VS Code

  • ​Programming languages

    • ​Application Logic: Python or Typescript or Go

    • ​Prompting: BAML (recommend video)

​Meet the Speaker πŸ§‘β€πŸ’»

​​​Meet Vaibhav Gupta, one of the creators of BAML and YC alum. He spent 10 years in AI performance optimization at places like Google, Microsoft, and D. E. Shaw. He loves diving deep and chatting about anything related to Gen AI and Computer Vision!Β 

​Meet Dex Horthy, founder at HumanLayer and coiner of the term Context Engineering. He spent 10+ years building devops tools at Replicated, Sprout Social and JPL. DevOps junkie turned AI Engineer.

Avatar for Boundary
Presented by
Boundary
We make BAML, a programming language for using LLMs. Some event recordings are available here: https://github.com/hellovai/ai-that-works
Hosted By
152 Going