Turn any goal into an AI agent workflow.
Describe an objective. Agentago converts it into a structured sequence of specialist AI agents - showing which agent acts at each stage, the task it performs, the inputs it receives, the output it must produce, and how that output is handed to the next agent.
Or start from an example:
EXECUTION WORKFLOW
No specific focus area detected - using a balanced general-purpose workflow.
Your objective and the workflow it generates stay in this browser. Nothing you type is uploaded, stored on a server, or sent to analytics - the workflow is assembled locally by a rules engine running in this page.
// HOW IT WORKS
What Is An Agent Workflow
A workflow is the running order of a mission: which specialist agent acts at each stage, what it is given, and what it must produce before anything moves forward. Where a team chart tells you who is involved, a workflow tells you what happens first, second, and third.
Why Handoffs Matter
Most multi-agent setups fail at the seams, not inside the agents. Naming the exact output one stage owes the next turns a vague chain into a contract - so when something goes wrong you can point at the stage that broke it instead of re-running the whole pipeline.
A Blueprint, Not A Runtime
Agentago generates a planning blueprint. Nothing here executes tasks, calls a model, or connects to your tools. It gives you the stage-by-stage structure to take into whichever agent framework, assistant, or human team actually does the work.