How BAML makes AI Agents 10x more reliable? (We asked the CEO)
Tired of wrestling with unreliable LLM agents? Are you building something amazing but hitting a wall with structured responses and production readiness? Ever wonder how to truly unlock the potential of AI agents without drowning in complexity? You're in the right place! We're diving deep into a tool that's about to revolutionize your agent-building game: BAML!
Forget the headaches of clunky frameworks. We're going to explore how BAML, seemingly simple on the surface, unlocks incredibly powerful patterns you never thought possible. And guess what? We're learning directly from the CEO! Get ready to see why BAML is the secret weapon you've been waiting for.
What We Will Be Covering:
🔥 Why BAML is the missing ingredient for building reliable agents that you can ship to production with confidence.
✨ How BAML enables a powerful yet easy and fun way for designing agents.
💻 And how you can finally build agents in the language of your choice.
Get ready to build agents that don't just work, they thrive! 🎉
About Vaibhav
Vaibhav Gupta (Linkedin) is the Founder and CEO of Boundary, a Y Combinator startup developing a new programming language (BAML) that makes LLMs both easier and more efficient for developers. Across nearly a decade in software engineering, Vaibhav has built predictive pipelines and real-time computer vision solutions at D. E. Shaw, Google's Augmented Reality groups, and Microsoft HoloLens. In his free time, Vaibhav dabbles in competitive table tennis and board games, and various aspects of compilers.
Socials:
LinkedIn: https://www.linkedin.com/in/vaigup/
Twitter: https://x.com/hellovai
GitHub Repo: https://github.com/BoundaryML/baml