Explicit boundaries
Responsibilities, permissions, tools, and human escalation rules are defined before the agent acts.
AI agent engineering
A clear job. A capable agent.
Give agents a purpose, the right tools, and explicit boundaries. Build around measurable success, recovery behavior, and human judgment.
Discuss an agent workflowAgreed permissions
A defined task
Reason + actContext · tools · state
Allowed toolsValidate output
Escalate when a person needs to decide
When an agent makes sense
Reasoning, with responsibility.
Some work needs more than a fixed sequence of rules. It needs context, tool use, and a decision about what to do next.
That is where a bounded agent can help. Start with one measurable responsibility, then define what it may read, which actions it may take, and when it must ask a person.
- Multi-step tasks with changing business context
- Work that needs tools, reasoning, and saved state
- An accountable owner and representative evaluation cases
What makes it operable
Meaningful evaluation
Representative cases check tool use, structured outputs, hallucination risk, and recovery.
Visible operations
Logs, safe retries, saved state, and cost visibility make the agent maintainable.
Generated outputs are validated before they affect business state. Agents are never given unlimited authority.
A useful next step
What job should your agent do?
Start with a responsibility and a definition of success. We’ll discuss whether an agent is a good fit and where its boundaries belong.