Inside MITPO: building an AI workflow platform from scratch
MITPO started as an internal tool for managing AI model calls across our client projects. It's now a standalone platform. Here's how it happened.
MITPO wasn't planned as a product. It started because we were running AI features across five different client projects simultaneously and managing the prompt engineering, model calls, evaluation, and cost tracking in spreadsheets and ad-hoc scripts.
By March 2025, we had built enough internal tooling that a visiting client asked if they could use it. That question started a six-month process of turning internal tooling into a real platform.
The core insight behind MITPO is that most businesses don't need to train models. They need to reliably call them. The hard part isn't accessing GPT-4 or Claude; it's managing prompts across teams, evaluating outputs at scale, handling failures gracefully, and keeping costs predictable.
MITPO addresses all of those problems in one interface. Teams can build, test, and deploy AI workflows through a visual editor. Every run is logged, every prompt versioned, and every cost tracked.
We opened MITPO to early access in August 2025. The early cohort has been invaluable. Their feedback has reshaped the product substantially, especially around the workflow builder and team collaboration.
Full launch is planned for early 2026. If you're interested in early access, we'd love to talk.