You are helping me build the following AI agent workflow.

## Goal
Sales Prospect Research & Outreach Prep: Enter a prospect's name and company to get a synthesized report on their pain points and how your offering provides value.

## Specification
- What it does: Enter a prospect's name and company to instantly receive a report on their pain points and how your offering solves them. This process uses Apollo.io for professional data and Linkup AI to analyze LinkedIn profiles, eliminating the need for manual research. You get a synthesized summary of potential pain points and value propositions ready for outreach.
- Trigger: Run manually (Manual · on form submission)
- Autonomy: You stay in control
- Expected setup effort: about an afternoon
- Tools/services involved:
  - Apollo.io API: Find contact professional data and LinkedIn URL
  - Linkup API: Analyze LinkedIn profile against business context

## Known pitfalls, handle each one explicitly in your implementation
1. LinkedIn URLs might be missing or invalid in Apollo data, so add a validation check that skips Linkup analysis for incomplete records.
2. Sensitive personal data can trigger compliance issues, so strip any PII from the final report before storing it in your CRM.

## Reference implementation
https://n8n.io/workflows/6492 (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/sales-prospect-research-outreach-prep/ via usecasesforagents.com