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.
- 01
Define
Patterns in your runs become eval cases and graders you approve.
- 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.