You are helping me build the following AI agent workflow.

## Goal
Monitor Furusato Nozei Market Trends: Daily digest of Furusato Nozei news, AI-extracted keywords, Google Trends validation, and strategic insights sent to Slack.

## Specification
- What it does: Receive daily strategic insights on Japan's Furusato Nozei market straight to your Slack channel. You get an automated digest that validates news keywords with Google Trends and summarizes articles into actionable reports using n8n and OpenRouter.
- Trigger: On a schedule (Scheduled · daily 9:00 AM JST)
- Autonomy: Fully hands-off
- Expected setup effort: about an afternoon
- Tools/services involved:
  - n8n: Workflow orchestration
  - OpenRouter Chat Model: Summarizing news and generating insights
  - SerpApi: Fetching Google Trends data
  - Slack: Delivering final reports

## Known pitfalls, handle each one explicitly in your implementation
1. Japanese text encoding can cause parsing errors, so ensure your HTTP node is configured for UTF-8 or ISO-2022-JP.
2. Slack message formatting can break with special characters, sanitize the AI output string before passing it to the Slack node.

## Reference implementation
https://n8n.io/workflows/11128 (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/monitor-furusato-nozei-market-trends/ via usecasesforagents.com