before your ai agents touch real work
a simple run-governor starter kit for step limits, loop guards, approval gates, trace logging, run scoring, and model routing
most people building agents are still focused on the best brain.
they keep swapping models.
adding tools.
adding context.
adding memory.
adding routing.
then the stack finally does something real and the problems show up fast.
the run gets stuck.
the same tool fires again.
the browser agent keeps wandering.
the system loops.
the trace is unclear.
the stack becomes harder to trust than it is to build.
that isn’t model problem for the most part
it is a runtime governance problem.
the missing layer is a run governor.
not a giant framework.
not another abstract architecture diagram.
a small control layer that sits underneath the workflow and forces a few basic rules before anything executes.
that layer answers questions like:
how many steps can this run take
how many tool calls can it make
which actions are low risk
which actions need approval
what gets logged
how do we score whether the run behaved well
once those questions are handled, agents become much easier to trust.
the difference between:
nice ai thing
and
something you can actually let near real work.