TabbyML

Software is cheap to build. Making it better is the hard part.

Agents make the gap obvious. The first version takes a weekend; every version after it is a guess about what "better" means.

We uncover failure patterns across your agent’s runs and turn them into eval cases and graders that guide improvement.

  1. 01

    Define

    Patterns in your runs become eval cases and graders you approve.

  2. 02

    Climb

    Changes are proposed and tested 24/7; measurement decides what stays.

The output is a measurably better agent each cycle - and a quality bar the team can keep raising. If you're building agents, we can help you raise it.

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