u/Matte_Ferra_001

Hey everyone,

I’ve been using Clay for a while and I’m starting to hit the limits of what you typically see in tutorials.

I’m trying to go deeper by studying real, complex Clay workflows — not to copy them, but to reverse engineer how they’re built and understand the reasoning behind them.

Specifically, I’m interested in setups that:

• combine multiple data sources (Clay + external APIs + scraping + enrichment)
• use scoring / prioritization logic
• include AI layers (classification, summarization, decision-making)
• are part of a larger GTM or outbound system
• handle messy data, edge cases, or multi-step enrichment flows

The goal is to understand things like:

• how you structure your tables and data model
• how you orchestrate multi-step enrichment without breaking everything
• how you decide what runs in Clay vs outside (n8n, scripts, etc.)
• how you keep costs under control at scale

I’m NOT looking for templates like “find emails from LinkedIn” — more like real production workflows or even partial breakdowns.