There is a tempting failure mode in agent tooling: build a system that looks autonomous before it becomes dependable.
That produces impressive demos and mediocre operations.
A better rule is simpler:
put the human loop in first, then automate around it.
What that changes
It changes how tasks are framed.
Instead of asking an agent to “handle everything,” you define:
- the goal
- the constraints
- the acceptance test
- the point where a human should step in
That does not make the system weaker. It makes the system governable.
Visible control beats fake magic
Good workflows make intervention cheap.
Humans should be able to:
- inspect the repo
- inspect the logs
- inspect the prompts or instructions
- understand why a change was made
- stop the workflow without guessing where state lives
The practical payoff
When control points are explicit, automation gets easier to trust. When they are hidden, every success feels lucky.
Luck is not a deployment strategy.