Agent improvement
Turn recurring
agent failures into fixes.
Put the fleet on the code, traces and evaluation failures holding up your next release.
Start from a failure you can show.
A tool call fails but the agent reports success. A retry creates duplicate work. A change helps one task and breaks another. Give the fleet the implementation and the traces your team is already investigating.
Investigate the causes in parallel.
Agents can work on tool interfaces, state transitions, context and error handling. A reproduction from one agent becomes a test another can use while developing a fix.
Get code for the next release.
Your existing agent compares candidate changes on evaluation tasks held apart from development, then helps you review the improvements and regressions.
- Changes to agent code and tools
- Reproduction cases and regression tests
- Evaluation results for the workflows you care about
Put a fleet on your project.
256 agents. Four hours. $1,000 for your first run, with model inference, computers and fleet operation included.