the openclaw trust layer
how to add evals, approval gates, and a tool firewall before a workflow touches real work
most ai workflows work perfectly in demos.
they fail the moment they touch real systems.
not because the model is weak.
because the workflow has no safety boundaries.
the agent can:
• read too much
• remember the wrong thing
• call the wrong tool
• call the right tool with the wrong arguments
• act confident when it should escalate
• touch systems it should never touch
that is the difference between:
a cool demo
and
a workflow you can actually keep around.
if your agents interact with:
• tickets
• docs
• crm
• spreadsheets
• internal tools
• customer operations
• finance systems
• production infrastructure
then the problem is no longer capability.
the problem is control.
this issue shows how to build that control.
not by making openclaw more autonomous.
but by truly making your workflows trustworthy.
the repo for this issue
all templates, prompts, and evaluation sheets live below 👇