Making AI Development
What It Should Be
Two years ago, we started Julep with a simple belief: making intelligence more human shouldn't mean making engineering less rigorous. While the world rushed to stack prompts and call it engineering, we chose to build something foundational. We created the 8-Factor Agent methodology not because it was easy, but because AI development deserves real tools, real engineering, and real infrastructure.
We're engineers who believe the future of software will be built on AI - not as a collection of clever hacks, but as properly engineered systems with clear interfaces, predictable behavior, and production-grade reliability. Julep isn't another abstraction layer or prompt management tool. It's a complete rethinking of how AI applications should be built, tested, and scaled. Our task language isn't another abstraction layer; it's a new way to think about AI workflows. Our infrastructure isn't just about scaling; it's about bringing reliability and rigor to a field that sorely needs it.
Because taking the hard path to simple AI development isn't just our approach - it's our conviction that this is how it should be done. We're building the foundation for AI's future, not chasing its hype.
