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Final day of Launch Week, and we just crossed 2000 ⭐️ on Github 🚀 Today, we’re more than excited to unveil our vision and what you can expect from BAML 1.0 in 2025 — with a strong focus on enterprise scalability and developer experience. And today the spotlight is on our team

More than 15 AI companies from YC F24 batch are using BAML. If you're in W25, we'd be happy to demo and help with your prompts!

Here's an example of why #BAML by Boundary ML is an amazing alternative to prompting via Python libraries. This example is from an LLM eval workshop I was at, where the goal was to get a structured output to evaluate a prompt's performance on a classification task.

Join Neo4j and Boundary ML to learn about BAML -- and generate graph data with it! x.com/i/broadcasts/1…

New RAG Example in our docs!

March 25th - SF. 5 YC founders from companies like deel, Product Hunt 😸, and Mintlify along with our founder Vaibhav Gupta will be sharing everything about the what being a founder is like.

Boundary ML somehow managed to do both at the same time AND keep DevEx at the forefront 💪🏽 #BAML

Seattle AI Hack Night Recap, feat. demos by Boundary ML + Flyte Union_ai + Neo4j + William Lyon Read / watch here: hypermode.com/blog/seattle-a… #ML #GraphQL #LLMs

Gemma models are crushing it. Read more on how BAML was used to compare Gemma with OpenAI at classification tasks

over 300 ai engineers came to our 3 hour workshops. They asked for another one. next 4 weeks, 1 hour every tuesday:​🦄 ai that works First topic: large scale classification dex Boundary ML

👩‍💻 Still writing LLM prompts with f-strings? That might’ve worked early on — but today’s AI apps demand structure, speed & observability. BAML (created by @BoundaryML) is here to change the game. 🧵👇

Read how we are changing the game in LLM Observability

What if you did all LLM evals on a spreadsheet? Made with BAML by AndrewD on our discord

This post shows the beginnings of an agentic Graph RAG workflow that's more robust to a broader range of user questions. No agent frameworks were used - only BAML prompts under the hood. Boundary ML's BAML make prompt engineering a breeze! 👇🏽 blog.kuzudb.com/post/enhancing… 9/9

I built an open-source deep research agent with Gemini, Exa and Boundary ML's BAML + a terminal UI (also has a separate Inngest backend which I will do another video on later) Check out how it works 👇

was living under the rock to have never heard about BAML. thanks to Prashanth Rao for introducing me to BAML, have been digging into it for the past 2 days, lives up to the promises for structured extraction with complex json or pydantic schema, BAML is the way to go for sure.

Home automation is a >$100B industry With open source LLMs on Cerebras, anyone can run blazingly fast inference basically for free so I remade the core of Alexa in a day.. using Boundary ML ElevenLabs Convex A thread 🧵 (with github repo!)

Keep the BAML projects coming

In case you were doubting BAML's reliability with structured outputs, a BAML user got SOTA on agentic web-browsing. Think of all the dev cycles spent trying to use tool-call APIs for 10 different providers, when they could've just used BAML.