DeliveryAgent systems topic

Agent product design

Agent product design turns uncertain model behavior into an understandable user experience. It defines what the agent can do, how it communicates progress and uncertainty, when users can inspect or interrupt work, and what recovery looks like after failure.

Apply the lifecycleReview sources

Questions to answer

Resolve these before adding tools, frameworks, or automation.

  • What can the user preview, edit, approve, reject, or undo?
  • How are plans, tool calls, evidence, and uncertainty communicated?
  • What remains useful when the agent cannot complete the full request?

Implementation lifecycle

Build the evidence in this order

  1. 01

    Define

    Describe user intent, consequences, review moments, and accessibility requirements.

  2. 02

    Build

    Expose meaningful state without overwhelming users with raw internal traces.

  3. 03

    Verify

    Test interruption, rejection, correction, resumption, and incomplete-result experiences.

Artifacts to maintain

  • interaction flow
  • approval states
  • error and recovery copy
  • prototype

Continue through AgentAtlas

Evidence ledger

Primary documentation behind this guide

OpenAI

Human-in-the-loop

Pause, inspect, approve, reject, persist, and resume patterns for consequential tool calls across agent runs.

Anthropic

Building effective agents

Transparency, explicit planning, tool-interface design, and choosing agentic complexity only when it improves outcomes.

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Specifications