OpenClaw automations

Reliable automation patterns

Use this page when you want OpenClaw automations that finish, verify, and recover instead of drifting into shallow or ambiguous behavior.

First principle Do not automate vague intent. Name the exact artifact or end state first.

Reliable automation starts with the artifact

Name the real outcome

A strong OpenClaw automation starts by naming the exact end state it is supposed to produce.

a reminder
a file
a report
a restarted workflow stage
a checked status change
a human decision request

Triggering work is not the same as finishing work

Verification is required

Reliable workflows separate the action step from the proof step and treat observable receipts as part of completion.

verify the file exists and looks sane
verify the status changed as expected
verify the final artifact, not just the first reply
verify the receiving step got the handoff it needed

Anti-drift rules

What strong automations do differently

Receipts

Observable receipts beat claimed success

A workflow should prove what changed with paths, results, validation, or visible state changes.

False green state

“Working on it” is not the same as “done”

Do not treat lightweight interim text as completion when the final artifact still does not exist.

Recovery

Design recovery before the stall happens

Define ahead of time whether the right move is retry, reroute, restart, escalate, or stay quiet because the system is healthy.

Repair strategy

Prefer narrow repair over broad rebuild

Fix the smallest broken layer first, then verify that the workflow resumed correctly.

Extra controls

High-risk workflows need stronger gates

For higher-risk or correctness-sensitive workflows, use automated checks before claiming completion, keep acceptance criteria visible, and use human review where the workflow crosses into risk, architecture, or higher-stakes correctness territory.