Build on Badgr / Use case
AI Employee / Agent Workspace
Build autonomous workers — a finance agent, an ops agent, a support agent, an engineering agent, a data agent — without operating the execution infrastructure underneath them.
How it works
1.Your customer creates or selects an agent inside your product.
2.Your backend sends an Agent Job to Badgr: instruction, tools/config, budget, and a runtime limit.
3.Badgr runs the workload on temporary cloud compute.
4.Badgr handles execution, limits, retries, stalls, recovery, verification, and evidence.
5.Your product receives results through the Jobs API (poll status, fetch logs/artifacts) and renders them inside its own workspace.
Badgr owns
- Isolated execution environment
- Cost cap, runtime cap, cancel
- Retries and stall recovery
- Logs, status, artifacts
- Teardown and billing settlement
You own
- Agent definitions and tool configuration
- Which instruction/task to send
- Budget and runtime policy per agent
- Your workspace UI and user accounts
- How results are displayed and acted on