You are helping me build the following AI agent workflow.

## Goal
Client Onboarding Webhook to Email Alert: Receives new client onboarding data via webhook, validates it, queues it in RabbitMQ, and sends a formatted Gmail alert to the team.

## Specification
- What it does: Receives client onboarding JSON payloads via a webhook trigger. Validates the input against a defined schema, publishes valid events to RabbitMQ for decoupled processing, and sends formatted Gmail notifications upon successful consumption. Includes error handling with dead-letter queues for invalid or failed messages.
- Trigger: Triggered by an event (Event · on webhook payload)
- Autonomy: Fully hands-off
- Expected setup effort: a few focused days
- Tools/services involved:
  - n8n: Workflow orchestration and logic execution
  - RabbitMQ: Message queuing and event distribution
  - Gmail: Sending notification emails to clients or staff
  - Code: JSON Schema validation and data processing

## Known pitfalls, handle each one explicitly in your implementation
1. Gmail API quotas can be exceeded quickly during testing so implement a delay or batch size limit.
2. Invalid JSON payloads will crash the workflow if you do not wrap validation in a try-catch block.

## Reference implementation
https://n8n.io/workflows/15316 (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/client-onboarding-webhook-to-email-alert/ via usecasesforagents.com