What if one simple AI prompt could give you a full campaign-ready lead list? With a few clicks, you extract structured leads directly from AI output.. Ai Fire 101, 🔥 Ai Fire Academy.
TL;DR
AI lead generation with Claude Code + Clay turns one clear request into a usable outbound list. Clay finds and enriches the leads, while Claude Code organizes the workflow and writes the outreach.
In this example, the workflow was built for Nuvora Goods, a fictional DTC brand selling modular storage boxes, foldable shelves, and desk accessories. The target list covered student housing operators, apartment property managers, campus-area retailers, and small home-organization stores.
The final CSV had 12 real leads, 16 columns, zero blank cells, and all 4 target segments covered. The most useful part was the Data Provenance column, which showed how each row was sourced and validated before sending.
Key points
Output: 12 real leads, 16 columns, zero blanks.
Common mistake: chasing 50 rows by accepting weak or fake data.
Practical takeaway: send the strongest verified rows first.
Table of Contents
Introduction
I sit down to “find 50 good leads,” and somehow end up with 12 tabs open, half-verified emails, messy company data, and a blank draft…
Finding, verifying, and writing personalized outreach for each lead is genuinely a lot of separate steps, and most tools make me do each one in a different place.
That’s the gap this workflow fills. With Claude Code + Clay, you start with one clear request. From there, the work splits cleanly.
|
Tool |
What it handles |
|---|---|
|
Clay |
Finds companies, verifies emails, enriches contacts, and pulls business data |
|
Claude Code |
Runs the workflow, organizes the lead list, and writes personalized outreach |
Then, the lead list will look like this:
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