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Build an AI Agent

Design a maintainable AI agent from task boundaries, tool calls, state management, retries, and human review.

Best for

AI application developers, automation teams, and technical startup founders.

Final output

Agent capability boundaries, tool list, state flow, failure handling, and test scenarios.

Workflow snapshot

Last checked: 2026-05-19

Complexity: 5-stage workflow
Sources: 3 Review Notes: Treat AI output as a draft and verify facts, rights, platform rules, and business claims before publishing.
Inputs

Write what the agent can do, cannot do, when it asks for confirmation, and when it stops. List state fields, callable tools, permission boundaries, and idempotency requirements.

Tool chain

Cloudflare Agents SDK -> Workers AI -> Manus -> ChatGPT

Final output

Agent capability boundaries, tool list, state flow, failure handling, and test scenarios.

Human review

Handle model failure, tool failure, duplicate requests, long task timeout, and permission denial. Validate success, failure, refusal, repeated request, and human-intervention paths.

  1. 01 Define agent responsibility
  2. 02 Design state and tools
  3. 03 Implement the smallest loop
  4. 04 Add error handling
  5. 05 Test with scenarios

Recommended Tool Stack

Tools are organized by workflow role. Unlisted tools can be added to the library later.

1

Cloudflare Agents SDK

Runtime framework

Build agents with TypeScript classes, Durable Object state, and client SDKs.

2

Workers AI

Model calls

Call models inside Cloudflare without adding external hosted AI APIs.

3

Manus

Agent experience reference

Reference task decomposition, execution traces, and human confirmation points from a general agent, without treating its output as production fact.

4

ChatGPT

Task breakdown

Clarify agent goals, tool boundaries, and failure modes.

Complete Workflow

Use AI outputs as drafts; facts, copyright, platform rules, and business claims need human review.

  1. Stage 01

    Define agent responsibility

    Write what the agent can do, cannot do, when it asks for confirmation, and when it stops.

  2. Stage 02

    Design state and tools

    List state fields, callable tools, permission boundaries, and idempotency requirements.

    Reusable prompt 
    Design state, tools, human confirmation points, and retry strategy for a {task} agent.
  3. Stage 03

    Implement the smallest loop

    Start with one user, one task, and an observable end-to-end flow.

  4. Stage 04

    Add error handling

    Handle model failure, tool failure, duplicate requests, long task timeout, and permission denial.

  5. Stage 05

    Test with scenarios

    Validate success, failure, refusal, repeated request, and human-intervention paths.

FAQ

Can this workflow publish automatically?

Not recommended. AI is useful for drafts, variants, and checklists, but facts, asset rights, and platform rules need human confirmation.

What if my tool stack is different?

Keep the workflow roles: ideation, generation, editing, review, and learning. Substitute specific tools with existing team accounts.

Sources

Last checked: 2026-05-19

  • Build Agents on Cloudflare Cloudflare Docs · Source used to verify the referenced tool capability and workflow boundary.
  • Manus Manus · Source used to verify the referenced tool capability and workflow boundary.
  • Using Codex with your ChatGPT plan OpenAI Help Center · Source used to verify the referenced tool capability and workflow boundary.

Review Notes

  • Treat AI output as a draft and verify facts, rights, platform rules, and business claims before publishing.
  • Tool pricing, quotas, and capabilities may change; check official sources before purchase or automation.