An open future for governed AI. Built in the open
Platform

Workflows

Map the work.
Expose the decisions.

Design multi-step agent operations as understandable flows of skills, tools, approvals, policy gates, data transformations, and completion evidence.

Product direction · In active development

Rangoon / Design preview
Product design preview Illustrative interface & sample data
01

A graph with semantics

Planned workflow nodes can represent triggers, agents, skills, tools, branches, waits, subflows, exception handling, and audit events.

Meaningful connections

A data flow, required dependency, approval gate, and tool invocation should read as different relationships.

02

Govern the consequential moments

Policy and approval gates belong within the operational path where people can see what is requested and why.

Receipts and states

Completion evidence and outcome states are designed to be explicit rather than implied by a chat transcript.

03

Start simple, extend carefully

The workflow experience is being designed for understandable small flows as well as more advanced orchestration.

Preview status

Workflow editing and runtime behavior remain in active development.

The future is open

More capability.
Greater possibilities.

Let’s build an AI ecosystem worth trusting.

Rangoon, the smiling orange crab mascot
Product previewConcept interface · sample data · active development

Explore the design. Actual interfaces and feature availability may evolve.

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