EXAMPLE: A research checkpoint in motion
An illustrative video entry showing how an agent workflow could be reviewed, with a deliberate human checkpoint.
OpenClawReach people exploring AI agents
See placements →What happened
Illustrative example · no verified outcomeThis example describes a possible use case; no real-world result has been reported.
How the agent did it
- Read the issue and inspect the relevant code to form a reproduction plan.
- Reproduce the failure, edit the implementation, and run the relevant checks.
- Review the diff and prepare a patch summary with test results and remaining risks.
Where a person stepped in
A person sets the scope and access permissions, reviews the final output, and approves any external publication or consequential action.
A person approved each step before the agent continued.
More details
About this account
Illustrative workflow: after receiving a goal and bounded access, the agent plans the work, executes multiple steps, checks its output, and prepares a deliverable without prompts at each step.
EXAMPLE ONLY. The video URL and author are placeholders, not real sources. No recording or deployment is claimed.
Credit: Agents In Use editorial example
Tools and topics
OpenClaw · Approved workspace tools
Code · Testing
Editorial completeness: 85/100. Measures documented fields, not agent performance or verified outcomes.
Video notes
@example · X
- Set a bounded goal before handing work to an agent.
- Review evidence and approve consequential actions at a human checkpoint.