Skip to content

Human-in-the-Loop Agent Design

Designing agents that work with people: checkpoints, clarifying questions, reviewable output and handing back control.

Editorial team 1 min read

Most useful agents work alongside people rather than entirely alone. Designing the collaboration is as important as the automation.

Where People Add Value

  • Clarifying goals and ambiguous requirements.
  • Approving consequential actions.
  • Reviewing outputs before they're used.
  • Handling exceptions the agent can't resolve.

Design Patterns

  • Plan review: approve the approach before execution.
  • Action approval: confirm specific risky steps.
  • Draft and review: the agent prepares, a person finalises.
  • Escalation: the agent hands over when stuck or uncertain.
  • Interruptibility: people can stop or redirect the agent at any time.

Make Review Easy

Present concise summaries, diffs and the key decisions, not pages of logs. Good review interfaces are what make oversight real.

Calibrate Autonomy

Start with more checkpoints; reduce them as the agent proves reliable on specific tasks. Keep checkpoints for irreversible or high-impact actions.

Avoid Rubber-Stamping

If people approve everything without reading, the checkpoint isn't working. Reduce low-value approvals so important ones get attention.

More in Agent harnesses

All Agent harnesses guides →
Agent harnesses Guide · 2 min

What Is an Agent Harness?

The software around a language model that turns it into an agent: the loop, tools, context, permissions and memory.

Agent harnesses 2 min read 27 Sep 2025

Agent harnesses Guide · 1 min

The Agent Loop Explained

The core cycle every agent runs: think, call a tool, observe the result, repeat — and how the loop knows when to stop.

Agent harnesses 1 min read 26 Sep 2025

Agent harnesses Guide · 1 min

Designing Tools for AI Agents

How to write tools agents use well: clear names, precise descriptions, sensible inputs and informative outputs.

Agent harnesses 1 min read 25 Sep 2025

Agent harnesses Guide · 1 min

Context Management in Agent Harnesses

How agents stay effective over long tasks: what to keep in context, what to summarise, and what to store outside.

Agent harnesses 1 min read 24 Sep 2025