A workspace for every LLM app your team ships
We built Monogram after facing the same problem on every LLM project: no reliable way to version prompts, track evaluation results, or link evaluation to deployment.
The team
Built production LLM apps at growing startups, focused on the gap between evaluation and deployment. After seeing teams recreate the same plumbing for each project, chose to build the infrastructure layer.
Built ML evaluation infrastructure and distributed inference pipelines at AI-first product companies. Applies a rigorous traditional-ML testing mindset to the less predictable work of developing LLM apps.
Works across developer tooling and CI/CD platform engineering, with experience building automation systems for developer tools. Designs Monogram's deployment and integration layer.
On every LLM project, we found the same scattered setup: evaluation scripts that went unmaintained, prompt versions recorded in a document without diff history, and deployment disconnected from evaluation. We shipped to production without knowing if the prompt was better or worse than the previous version.
Monogram is the workspace we kept reaching for while working on other projects. It joins prompt engineering, evaluation, and deployment into one loop instead of leaving each team to rebuild them separately.
Try the workspace your team needs
Free for solo developers. Questions? Email [email protected].