[ AUTOMATION ]
Workflow & Skills Execution Engine
What it is
Define a workflow as a set of skills and run it, with execution history.
[ THE_PROBLEM ]
Why this existed
Automation products get built canvas-first, and then discover the execution engine, the run history and the credential handling were the hard parts all along.
[ WHAT_WE_BUILT ]
What we built
A workflow definition and execution engine with a skills registry, run history, a chat surface for triggering and inspecting runs, API key management and a settings area — the primitives an automation product needs before it has a node canvas.
- Workflow definition and execution engine
- Skills registry
- Run history with per-execution records
- Chat surface for triggering and inspecting runs
- API key management
- Settings area
[ HOW_IT_IS_USED ]
How a company uses it
A company codifies a repeatable process once and runs it on demand or on a schedule, with a record of every execution.
Built with
[ COMMON_QUESTIONS ]
Questions clients ask
Why build the engine before the visual canvas?
Because the canvas is a view over the model. If the execution model, run history and error semantics are right, several front ends are possible. If they are wrong, the prettiest canvas in the world sits on top of something that cannot be debugged.
Why does run history matter so much?
Because the first question when an automation misbehaves is always "what did it actually do". Without per-run records, that question has no answer and trust in the system evaporates.
Where does this fit against existing automation tools?
If an off-the-shelf tool covers your integrations, use it. Building makes sense when the automation is a product you are selling, or when it must run inside your own security boundary.
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