You are helping me build the following AI agent workflow.

## Goal
Meeting Summary & Action Item Tracker: Send meeting transcripts via webhook to get AI-extracted summaries, prioritized action items, and automated updates across Slack.

## Specification
- What it does: Get clear meeting summaries and prioritized action items instantly by sending transcripts via webhook. You receive formatted updates directly in Slack and Notion while email owners get notified of their tasks. The system also sets calendar reminders for deadlines so you never miss a follow-up.
- Trigger: Triggered by an event (Webhook · on meeting transcript)
- Autonomy: Fully hands-off
- Expected setup effort: about an afternoon
- Tools/services involved:
  - OpenAI: Transcript analysis and extraction
  - Slack: Posting summaries and notifications
  - Notion: Storing meeting notes and tasks
  - Gmail: Sending email notifications to owners
  - Google Calendar: Creating due date reminders

## Known pitfalls, handle each one explicitly in your implementation
1. Transcript length may exceed token limits so split the input into chunks before sending to the API.
2. Slack user IDs change over time so verify identity mapping against your directory regularly.
3. Notion database schemas must match exactly or the integration will fail silently on write operations.
4. OpenAI costs can spike with long transcripts so implement a token budget check before processing.

## Reference implementation
https://n8n.io/workflows/10286 (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-meeting-summary-action-item-tracker/ via usecasesforagents.com