You are helping me build the following AI agent workflow.

## Goal
Sales Outreach and Prospect Research: On new sales call booking, researches prospect tech stack via Tavily, matches products.

## Specification
- What it does: Get ready to book new sales calls by instantly researching your prospect's tech stack and matching relevant products. You receive personalized email drafts complete with testimonials, while all details are automatically saved in Google Sheets for easy follow-up.
- Trigger: Triggered by an event (Manual · on new sales call booking)
- Autonomy: You stay in control
- Expected setup effort: under an hour
- Tools/services involved:
  - Google Sheets: Store prospect details and update outreach content
  - Tavily: Research company, tech stack, and updates
  - OpenAI Chat Model: Generate personalized email content using testimonials

## Known pitfalls, handle each one explicitly in your implementation
1. Tavily may return outdated tech stack data so verify the research timestamp before using it for claims.
2. Google Sheets API quotas are strict per minute, batch updates or add delays between row writes.

## Reference implementation
https://n8n.io/workflows/8014 (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-sales-outreach-and-prospect-research/ via usecasesforagents.com