AI and Agents
- Unwritten Rules: The Institutionalized Shadow AI
Does your organization have AI routines that everyone knows but nobody has written down? Undocumented responsibility is the biggest source of risk.
- Agent Management Cycle: Role, Policy, Delegation and Git
Understanding how human and agent teams are managed through role definition, policy control, delegation chains, and version control, and why self-hosted Git-based systems are more secure than Slack.
- When Humans and Agents Work Together: Who Approves? Who Is Responsible?
Agents don't work alone; they work with humans. Who does what? Who approves? Most importantly: who can step back? Role definition, PR control, and versioning via Git.
- Agent Call Chain: How A2A Work Delegation Actually Works
When agents delegate to each other, authority alone isn't enough. Capacity, risk level, result tracking, and veto rights matter too. The flow diagram of agent delegation chains in a real organization.
- Why Agent Management Fails Without policy.md
Defining an agent is not enough. You need to codify its skills, boundaries, and error handling into written rules. What happens without policy.md and organizational code?
- Why Should Your Organization Chart Include Agents?
Your org chart shows only people. Where are your agents? If no one owns an agent, if no one knows what it does or controls it, then no one is accountable when it fails.
- What is an Agent: The Deep Difference Between Tools and Agents
A ChatGPT tab is a tool. But an agent is an organizational entity with defined responsibility, policy, and version-controlled configuration. Why this distinction matters.
- Is Controlling AI Agents Impossible?
Every week, a manager, IT admin, or employee opens a new AI tool. Nobody sets its rules, boundaries, or owner. The accumulation of small decisions, shadow entities, and organizational blindness.
- Why Agents Don't Start With ChatGPT Tabs: Role, Policy, Delegation, and Git
Understanding the real foundation of organizational AI through integrated role, policy, delegation, and version control.
- Mixed Human + Agent Teams: Work Division and Responsibility
Agents are now in the organization. But how does a team actually work when humans and agents are mixed together? Who decides the work split? Who holds approval responsibility? Where are all these rules written down?
- How Do Agents Delegate Work to Each Other? A2A Delegation
A human manager delegates work to a subordinate. Do agents do the same? How does A2A (agent-to-agent) delegation work? What is the approval flow and result verification process?
- policy.md and Agent Status: Boundaries, States, and Skills
Where do you write an agent's operating rules? In policy.md. What are agent states (Draft, Active, Inactive), skill types (builtin, MCP, HTTP, function), and policy boundaries?