Skills and Workflow Governance
How Raydo turns roles, skills, and workflows into long-term working assets.
If a type of AI work keeps coming back, it should not stay trapped in a single chat. Raydo is built to help useful methods become repeatable.
Start with roles
A Role turns AI from a general assistant into a worker with a clearer job.
Examples include:
- PM
- sales
- finance
- consultant
- operations
This helps output become more stable because the working style, responsibility, and expected context do not need to be reinvented every time.
Skills keep reusable capability
A Skill is a capability a role can keep using. Instead of leaving useful methods scattered across chat history or ad hoc scripts, Raydo gives them a place to live.
Workflows keep reusable paths
When a task is more than one response and needs to move through steps, a Workflow becomes the better fit. It gives repeated work a path that can be followed again.
Why governance matters
Once usage becomes ongoing, the questions change:
- which version of this method are we using
- did a change affect existing work
- where should someone confirm a step
- can we review what happened later
Raydo treats those as product concerns instead of leaving them to memory.
A practical progression
- Use Chat to get the first useful result
- Turn repeated work into a Role
- Turn repeated capability into a Skill
- Turn repeated paths into a Workflow
- Add Approvals or review Runs where control matters
That is how AI usage starts to look less like a stack of tricks and more like a working system.