You are helping me build the following AI agent workflow.

## Goal
Social Media Post Generator: Monitors Google Trends for viral topics, researches them with AI, and auto-publishes optimized posts to social media on a schedule.

## Specification
- What it does: Stay ahead of viral trends by having this agent monitor Google Trends and use AI to research high-potential topics for your niche. It then automatically generates engaging content and publishes optimized posts to LinkedIn, Twitter/X, or Facebook on your schedule while tracking performance in Google Sheets.
- Trigger: On a schedule (Scheduled · daily 6 AM and 6 PM)
- Autonomy: Fully hands-off
- Expected setup effort: about an afternoon
- Tools/services involved:
  - n8n: Workflow orchestration platform
  - Google Trends API: Fetching trending search queries via SerpAPI
  - OpenAI: Topic selection and content curation
  - Perplexity AI: Researching selected topics for current information
  - LinkedIn: Publishing formatted posts to social media

## Known pitfalls, handle each one explicitly in your implementation
1. Trending topics can be volatile and irrelevant by the time generation completes so include a validation step to check topic freshness before publishing.

## Reference implementation
https://n8n.io/workflows/4352 (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-social-media-post-generator/ via usecasesforagents.com