​🦄 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

​Email is about as adversarial as inputs get: malformed HTML, inconsistent templates, human writing, forwarded junk, zero standards. And yet entire business workflows depend on it.

​This week we’re digging into what it takes to build a real email workflow engine where LLMs aren’t demos, but are part of production infrastructure.

​We’ll cover:

• ​Handling long-tail edge cases and weird inbox behavior

• ​Validating and correcting extractions before they break downstream systems

• ​Maintaining accuracy across thousands of formats and senders

​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 Speakers 🧑‍💻

​​​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! 

​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.