Turn a goal into a step-by-step agent workflow spec.
—
Plugsky is OpenAI-compatible with flat-rate plans — see pricing or start on the free plan (2 free models, no card).
The Agent Workflow Designer helps you plan multi-step AI agent workflows before you write code. You map each stage: the model call, the tools or functions the agent can invoke, branching conditions, and where a human should review or approve output. It suits developers and solution architects scoping agents for support, research, or internal automation. The result is a clear workflow outline you can hand to engineering or translate into an orchestration framework such as LangChain or Plugsky agents.
An AI agent workflow is the ordered set of steps an agent follows to complete a task: it receives input, reasons, calls tools or functions, checks conditions, and returns or escalates a result. Designing it first clarifies which model, tools, and approvals each stage needs.
No. It is a planning aid that helps you structure an agent workflow. You still implement the steps in your own orchestration framework or through Plugsky's OpenAI-compatible API, which supports function calling and agent patterns.
Add human review wherever an automated mistake is expensive or irreversible, such as payments, deletions, legal or medical content, or customer-facing refunds. Route those branches to an approval queue and keep the rest automated.
Canonical pricing and plans: plugsky.com/#sec-pricing · Terms · SLA · Docs