Content Publishing AI Agent Workflow

Typical problems this workflow solves

• Topic research, drafting, and channel adaptation happen in an inconsistent manual sequence
• Brand rules live in people's heads instead of in a repeatable review workflow
• Publishing speed is blocked by reformatting and first-pass draft preparation

Workflow steps

1. Collect topic source or content brief
2. Generate or organize channel-specific draft outputs
3. Apply brand and format rules
4. Queue review and approval
5. Escalate unsupported claims or low-confidence sections

Required inputs

• Topic sources or editorial brief
• Brand style rules
• Approved claims and forbidden claims
• Channel output requirements

Outputs and delivery artifacts

• Topic scoring or intake rules
• Channel-specific draft structures
• Claim checks and editorial review gates
• Formatting instructions for each target channel

When the workflow must escalate

• Claims without supporting evidence
• High-visibility content that needs editorial sign-off
• Brand, policy, or factual conflicts inside the draft

Boundaries

• Do not publish unsupported factual claims automatically
• Do not treat generated copy as self-validating
• Do not bypass editorial review for high-visibility content

Use when

• The team publishes repetitive structured content across a few defined channels
• There is already an editor or operator who should keep final control

Do not use when

• The goal is unchecked volume with no proof or editorial layer
• The team cannot define approved claims, prohibited claims, or style rules
• Every asset is bespoke campaign work with no reusable workflow pattern