Use case 2
Track agent-driven work across systems
Agent workflows create the most value when task outputs automatically trigger the right next action. By combining Devin MCP with Toolhouse, AI workers can support engineering follow-up, workflow routing, and execution monitoring across product and technical operations. That improves speed and helps teams operationalize agent-driven work more reliably.
Your Devin MCP AI Worker
Devin MCP AI Worker
Active
You: Take completed autonomous task outputs from this sprint, route each one to the correct downstream team, and generate follow-up actions for QA, product, and operations where handoffs are still missing.
Reviewing completed task outputs from the sprint...
Routing handoffs to QA, product, and ops...
31 downstream handoffs completed automatically.
The worker converted finished task outputs into structured next steps, routed them to the right internal teams, and identified where QA, product, or operations follow-up...
31Handoffs completed
3Teams coordinated
2 days of cross-team coordinationBeforeto18 minWith Toolhouse