When can we trust an agent to act?
What evidence shows that an agent completes a useful task reliably, and where should a human still intervene?
What makes a useful contribution?
- Describe the task, environment, and model or system version.
- Link the paper, repository, demo, or technical explanation.
- Report the evaluation method, failures, and human approval boundaries.
Research
0 contributionsThe research perspective is open
Help connect this mission to relevant work. Every contribution begins with a source.
Implementation
1 contributionsAI Employees: open source routines for business roles
Mark Fulton · Reinventing.AI · Agent Ops ClubA public repository of editable, scheduled routines for AI coding agents, created by Mark Fulton. It includes setup guidance and explicit approval boundaries for business tasks.
Source and attribution checked. This listing does not independently reproduce the workflows or validate reliability, time savings, or commercial outcomes.
Context: Public repository; supported environments are described in its documentation.
View missionExplanation
1 contributionsDesigning approval boundaries for AI agents
Mark Fulton · Reinventing.AI · Agent Ops ClubAn article by Mark Fulton explaining how he separates unattended agent work from actions requiring human approval.
This is the author’s operational perspective, not an independent safety evaluation or a guarantee that a workflow is secure.