AI product MVPs
Focused releases that test whether an AI-assisted workflow creates real value for its intended users.
AI Product Development
We turn a defined workflow or product opportunity into an AI-enabled application with clear data boundaries, evaluation criteria, operator controls, and a path to production.
What we can build
Focused product engineering tied to a clear user problem and release goal.
Model integration
Application architecture across suitable model providers, retrieval systems, structured outputs, and fallbacks.
Production controls
Evaluation, permissions, observability, cost awareness, and human review designed into the product.
How the work moves
Small, visible steps from product question to useful release.
Frame
Define the user, decision, data, risk, and outcome the product must support.
Prototype
Test the critical workflow and model behavior before expanding the surface area.
Build
Engineer the product, integrations, interfaces, and operational controls.
Release
Deploy, observe real use, evaluate failures, and improve from evidence.
See an AI product we built
AgentWhip combines a multi-model gateway, CLI, dashboard, usage metering, and subscription billing.