You are helping me build the following AI agent workflow.

## Goal
LinkedIn Content Creation: Automates LinkedIn posting by generating trending topics, writing posts in your voice, creating images with DALL-E.

## Specification
- What it does: Save hours each week by having this agent generate trending topics, write authentic posts in your voice, create images with DALL-E, and publish them on LinkedIn automatically. You maintain consistent audience engagement without any manual intervention or scheduling work.
- Trigger: On a schedule (Scheduled · daily or weekly)
- Autonomy: Fully hands-off
- Expected setup effort: under an hour
- Tools/services involved:
  - OpenAI Chat Model: Content generation and image creation
  - LinkedIn: Automated posting of content
  - AI Agent: Orchestrating the workflow

## Known pitfalls, handle each one explicitly in your implementation
1. AI-generated images may contain artifacts or violate brand safety guidelines so add a human-in-the-loop review step before publishing.
2. Generic content often fails to engage audiences on LinkedIn so instruct the LLM to include specific personal anecdotes or controversial takes.

## Reference implementation
https://n8n.io/workflows/4968 (workflow template)
Fetch and inspect this before building. If it matches my stack, adapt it;
if not, rebuild the pattern with my tools.

## Process requirements
1. Before building: ask me which of the listed tools I actually use and
   what my platform is (n8n / Make / code / other). Do not assume.
2. Adapt the pattern to my answers; do not force the reference stack.
3. Address every pitfall above; tell me how you handled each.
4. Provide a test plan I can run before letting this touch real data.
5. Ask before any step that sends messages, modifies data, or spends money.

Source: https://usecasesforagents.com/use-case/automated-linkedin-content-creation/ via usecasesforagents.com