A minimal domain-specific language (DSL) for structuring AI/ML development workflows.
This project explores how a small, opinionated DSL can reduce cognitive overhead when building and iterating on AI systems.
The goal is not to replace existing frameworks, but to experiment with:
- clearer intent expression
- reproducible pipelines
- fewer implicit decisions
beam is a research and experimentation project. The design is intentionally simple and may evolve.