Case Study: Miri builds a production AI wellness chatbot with Vellum

Miri Collaboratively building a chatbot in production with Vellum

Miri, a company specializing in AI-powered wellness coaching, faced challenges in building a production-grade, custom chatbot for its product. Their initial proof-of-concept using open-source libraries lacked the flexibility needed for rapid iteration. They sought a platform that would allow their cross-functional team to collaboratively build, test, and deploy their LLM-powered chat experience without being constrained by code. This led them to the vendor, Vellum.

Vellum provided Miri with a platform to rapidly develop and manage their chatbot. The solution enabled the team to quickly diagnose and fix production edge cases; one specific issue was resolved and redeployed in under two hours without writing code. This accelerated their development cycle, allowing new use cases to go to production within a week. The partnership with Vellum transformed their process, making LLM development collaborative and transparent, which significantly improved the quality and iteration speed of their consumer-facing AI product.

Miri

Adam Daigian

Product Advisor