Drag on the canvas or write YAML directly—it's the same workflow
The canvas and YAML are two views of the same definition: drag a node and the code updates; change a line of YAML and the canvas redraws instantly. Every save is a new version you can roll back to anytime.

8 step types to assemble a process
Each step type does one thing; complex processes come from combining them. The Free plan includes the first three; Pro unlocks all 8.
Same step, one line of config for different behavior
Modifiers are written directly on the step definition and can be stacked: add retry for automatic retries, add timeout to cut losses when time's up, and add manual_approval to stop and wait for a person.
A few Agents hold a review meeting, and only a passing conclusion moves things forward
group_chat pulls several Agents with different roles into one discussion, speaking in turns and adjourning when a termination keyword is said or the round limit is reached; agent_based has a coordinator Agent decide who to hand off to next. On the right is the full definition of a content-review process.
- Review meeting: three Agents—copy, fact-check, and brand—take turns finding fault, releasing only once they agree
- Coordinator: takes the intermediate result, then decides which Agent to go to next—the path doesn't have to be hardcoded upfront
- Each Agent can use a different model: a cheap one for high-volume analysis, a strong one for the final review
- A subscription app team's ad keyword review already uses this mechanism: account-level Agents divide the work, keywords are reviewed in parallel batches, up to 5,000 per run
# three reviewer agents debate, a human gate before publish- step: write_draft agent: writer input: "Draft the release note for {{var:topic}}" - step: review_meeting group_chat: participants: [copy_editor, fact_checker, brand_reviewer] initial_message: "Review the draft. Reply REVIEW_PASSED when aligned." max_rounds: 4 speaker_selection: round_robin termination_keyword: REVIEW_PASSED depends_on: [write_draft] - step: publish agent: publisher condition: review_passed == "true" && risk_level != "high" manual_approval: enabled: true timeout: 3600
Describe what you want done, and a workflow grows on the canvas
The assistant works conversationally inside the editor: you describe the business need, it generates the steps, and you watch and refine.
Mistakes are flagged, and bad edits can be rolled back
Three things to be clear about upfront
- There's no catalog of hundreds of SaaS connectors: calls to external systems go in code steps or come in as Agent tools; an Agent can connect to any MCP Server.
- The Free plan offers three step types—single, code, and classifier; all 8 step types and the AI assistant are available on Pro ($49/mo), with the assistant allowing 20 conversations per day.
- The AI assistant edits but doesn't save: every change takes effect only after you confirm and click save—no silent changes.