Who should use the AI Agent Orchestration workflow?
Teams or solo builders working on work tasks who want a repeatable process instead of one-off tool experiments.
Execution Map
3-step pipeline — follow each step in order
1Setup · Step 1 of 3
Open task pagePrepare Multi-Agent Workflow
Configure and initialize the multi-agent workflow environment using Poolside to set up agent communication protocols and task distribution rules before execution begins.
Why this matters
Proper multi-agent setup ensures agents understand their roles and communication channels, preventing coordination failures.
What you get
Multi-agent environment is ready with defined roles, communication protocols, and task distribution logic.
2Input · Step 2 of 3
Open task pageExecute AI Agent Orchestration
Run the core orchestration process using Msty to coordinate multiple AI agents, assign tasks, and manage interactions to achieve the desired automation outcome.
Why this matters
This step directly executes the orchestration logic, determining the quality and efficiency of agent collaboration.
What you get
AI agents have been coordinated to complete assigned tasks, producing intermediate outputs for deployment.
More optionsCompare
3Deliver · Step 3 of 3
Open task pageDeploy Autonomous AI Agents
Deploy the orchestrated AI agents into production using Taskade, ensuring they run autonomously and can be monitored for performance and reliability.
Why this matters
Deployment makes the orchestration usable in real-world scenarios, turning development into a live service.
What you get
Autonomous agents are deployed and running, with monitoring and fallback mechanisms in place for continuous operation.
More options