Use this recipe when you already have raw leads and want fast, structured company + person context.
Workflow
- Seed leads from a CSV.
- Normalize company data first.
- Enrich person/role fields with a second pass.
- Add quality gates (domain/email validation) before downstream automation.
Keep each block single-purpose so failures are obvious and reruns are cheap.
Claude Code Prompt
I have leads.csv with person_first_name, person_last_name, and company_name.
Run a Deepline enrichment pipeline with this order:
1) company normalization
2) people enrichment
3) email validation
Start with rows 0-20 only and write output to leads-enriched.csv.
Before running, show the exact action plan and expected output columns.
After running, summarize:
- success/failure count by action
- 3 representative enriched rows
- any schema or quality risks before scaling
Why This Layout Is Reliable
- Keeps each step single-purpose.
- Allows quick pilot runs before running the full file.
- Makes failures easy to diagnose because each block maps to a clear provider.
