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ai-evals

Baml: Boost Prompt Engineering

Get structured output with Baml, for founders using AI. 8.3k+ GitHub stars
intermediateโฑ 30 minutes๐Ÿ’ต Free + LLM API costs
8,569 stars451 forksRustQuality 8/10Updated 7/20/2026100% free ยท open source
What it is

Engineers use this to create structured AI prompts with better results.

What you can make with it

Create automated scripts that integrate AI output, like adding new customers to Notion and sending a welcome email via Resend.

How it helps

Using Baml, you can get precise and structured output from AI, which is especially helpful when building reliable and repeatable workflows.

Real use case example

"A founder uses Baml to create a script that adds new Shopify customers to their Trello board and sends a welcome email with a unique discount code. First, she sets up her Shopify webhook to send new customer data to Claude, then she uses Claude to prompt the creation of a new Trello card and draft the email with the right code."

If you're new

Pick this up if you're new to AI and want more reliable results with minimal setup.

If you're senior

Senior engineers use Baml to fine-tune and automate AI workflows due to its high degree of precision and control.

Common confusion cleared up

Be aware that Baml requires some programming knowledge to get the most out of it, as it's designed for more complex AI workflows.

Best inside these AI tools
Claude Code
Pairs with
Claude APIStripe webhookNotion database
Why we list it on WorkflowStacks: Open-source and free, Baml allows everyone to integrate precise AI prompts into their projects without added costs.
What it does

Baml is an AI framework that helps founders engineer better prompts for their AI models, making it easier to get structured and accurate output from AI tools.

Install / run
cargo install baml
When to use it
  • โ€ขWhen you need to fine-tune your AI prompts for better results
  • โ€ขWhen you want to automate the process of generating high-quality prompts
  • โ€ขWhen you're working with multiple AI models and need a standardized prompt engineering approach
Quick start
  1. 1Create a new Baml project using the command `baml init my_project`
  2. 2Define your prompt templates in the `prompts` directory, using Baml's templating language
  3. 3Configure your AI model and prompt settings in the `config.toml` file
  4. 4Run your Baml project using the command `baml run my_project`
  5. 5Use the `baml eval` command to evaluate and fine-tune your prompts
Ready-to-paste prompt
baml run --prompt 'What are the top 3 benefits of using {product_name} for {industry}?' --model gpt-3
Heads up: Make sure you have Rust and Cargo installed on your system before attempting to install Baml, as it is built using Rust and uses Cargo as its package manager.
Saves to your device

Topics

boundaryml
guardrails
llm
programming-language
structured-data
What's inside โ€” free to inspect
No purchase needed

Read the entire source before you build โ€” unlike paid marketplaces that hide it behind a buy button.

33
top-level files
24
folders
622.8M
repo size
Apache-2.0
license
Key files
.gitconfig
.pre-commit-config.yaml
package.json
README-DEV.md
README.md
File tree
.baml/
.codex/
.cursor/
.devcontainer/
.github/
.vscode/
baml/
baml_language/
baml-cli/
ci/
docs/
engine/
fern/
integ-tests/
jetbrains/
jobs/
languages/
packaging/
patches/
release/
scripts/
tools/
typescript/
typescript2/
Quick Actions
Details
Creator
BoundaryML
Language
Rust
Category
ai-evals
Published
10/6/2023

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