Generate an orchestration plan for multiple specialised agents.
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Plugsky is OpenAI-compatible with flat-rate plans — see pricing or start on the free plan (2 free models, no card).
The Multi-Agent Workflow Generator helps you structure complex tasks as a team of specialized agents. You define the overall goal, then break it into roles such as researcher, planner, writer, reviewer, or tool operator, with handoffs and shared state between them. It is for developers and architects building agent systems that need more than one prompt. Use the output as a design document before implementing orchestration.
Split into multiple agents when a task has distinct phases with different skills, when you need parallel work, or when a reviewer should check another agent's output. If a single well-prompted model handles the task reliably, keep it simple.
Agents pass structured messages or artifacts, such as a research brief, a draft, or a JSON payload, usually through shared state or a queue. Each handoff should name the expected format so the receiving agent can validate it rather than parse free text.
Set a step or token budget, require each agent to signal completion explicitly, and add a verifier that can halt the run. Log every handoff so you can see where loops start and tune the instructions.
Canonical pricing and plans: plugsky.com/#sec-pricing · Terms · SLA · Docs