You are helping me build the following AI agent workflow.

## Goal
Analyze Google Reviews & Send Sentiment Reports: Fetches recent Google reviews, analyzes sentiment with Gemini, and posts a structured summary to your Slack channel.

## Specification
- What it does: Get timely insights on your business reputation by having recent Google reviews analyzed for sentiment and delivered directly to your Slack channel as clear, structured summaries.
- Trigger: On a schedule (Scheduled · on schedule)
- Autonomy: Fully hands-off
- Expected setup effort: about an afternoon
- Tools/services involved:
  - Google Business Profile: Fetch reviews for a business and time period
  - Google Gemini Chat Model: Run sentiment analysis on review text
  - Code: Restructure results into Slack Block Kit format
  - Slack: Send automated sentiment reports to a channel

## Known pitfalls, handle each one explicitly in your implementation
1. Sentiment analysis can misinterpret sarcasm so add a confidence score threshold to flag uncertain reviews for human review.
2. Slack message length limits exist so truncate long summaries and provide a link to the full detailed report if necessary.

## Reference implementation
https://n8n.io/workflows/8111 (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/analyze-google-reviews-send-sentiment-reports/ via usecasesforagents.com