You are helping me build the following AI agent workflow.

## Goal
Inventory Reconciliation Between Notion And Airtable: Syncs physical counts from Notion with system records in Airtable, auto-correcting mismatches and alerting the team via Slack.

## Specification
- What it does: You get accurate inventory records instantly as this agent syncs your physical Notion counts with system data in Airtable. It automatically fixes mismatches and notifies your team via Slack so you can trust your stock levels without manual checks.
- Trigger: Run manually (Manual · on demand)
- Autonomy: Fully hands-off
- Expected setup effort: about an afternoon
- Tools/services involved:
  - Notion: Fetch physical stock data
  - Airtable: Load system inventory records
  - Azure OpenAI Chat Model: Generate Slack summary messages
  - Slack: Send discrepancy alerts and updates
  - Google Sheets: Log invalid payloads for audit

## Known pitfalls, handle each one explicitly in your implementation
1. Airtable field type mismatches may cause silent failures so validate that quantity fields are numeric before comparison.
2. Slack message length limits can cut off detailed error logs so truncate long descriptions or link to a full report.

## Reference implementation
https://n8n.io/workflows/11479 (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/inventory-reconciliation-between-notion-and-airtable/ via usecasesforagents.com