You are helping me build the following AI agent workflow.

## Goal
Meeting Notes Summaries with Gemini AI: Daily digest of meeting summaries and action items fetched via MeetGeek and generated by Gemini AI, sent directly to your Slack channel.

## Specification
- What it does: Get daily meeting summaries and action items delivered straight to your Slack channel so you stay aligned without manual follow-up. This process automatically fetches notes via MeetGeek, generates concise insights with Google Gemini AI, and formats them for easy reading in Slack.
- Trigger: On a schedule (Scheduled · daily)
- Autonomy: Fully hands-off
- Expected setup effort: about an afternoon
- Tools/services involved:
  - MeetGeek API: Retrieving meeting summaries and action items
  - Google Gemini Chat Model: Generating concise summaries and action points
  - Slack: Sending daily notifications with summaries

## Known pitfalls, handle each one explicitly in your implementation
1. Slack Block Kit has a strict payload size limit, so truncate long summaries before formatting them for posting.
2. Gemini responses can vary in structure, parse the output with robust fallback logic to prevent workflow crashes.

## Reference implementation
https://n8n.io/workflows/8116 (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/automate-meeting-notes-summaries-with-gemini-ai/ via usecasesforagents.com