You are helping me build the following AI agent workflow.

## Goal
Quote Request Processing: Captures Tally quote requests, logs them in Airtable, alerts the sales team on Slack, and sends a delayed client confirmation email.

## Specification
- What it does: Capture quote requests from Tally forms and automatically store them in Airtable while notifying your sales team on Slack. Send a personalized confirmation email to the client after a brief delay, ensuring no lead falls through the cracks without manual copy-pasting.
- Trigger: Triggered by an event (Event · on new form submission)
- Autonomy: Fully hands-off
- Expected setup effort: about an afternoon
- Tools/services involved:
  - Tally: Collect quote requests via webhook
  - n8n: Orchestrate automation workflow
  - Airtable: Store leads and track status
  - Slack: Notify sales team instantly
  - Gmail: Send confirmation email to client

## Known pitfalls, handle each one explicitly in your implementation
1. Tally form structure changes will break the field mapping, so add a validation step or monitor the webhook payload schema regularly. 
2. The five-minute delay might cause clients to feel ignored if they expect instant confirmation, so consider sending a quick 'received' acknowledgment first. 
3. Gmail API quotas can be exceeded with high volume, implement a retry mechanism with exponential backoff to handle temporary blocks. 
4. Airtable field types must match the incoming data exactly or the record creation will fail silently, validate all input types before insertion.

## Reference implementation
https://n8n.io/workflows/5458 (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-quote-request-processing/ via usecasesforagents.com