How We Built a Full-Stack B2B Pipeline Generator with AI Agents

From Zero to Decision Maker: A Full-Stack Prospecting Workflow You Can Copy

April 20, 2025

Let’s say you’re trying to find:

Most people would spend hours jumping between databases and filters.

We don’t.

We ask our AI agent → and it gives us a curated list in seconds.

It’s an AI Agent built in a few hours using Cursor, and connected with Crustdata API.

We sync the company data directly to Clay.

Then we run a full enrichment layer.

With 16+ data sources tied to each record, we filter for real-time signals like:

Then we find the exact decision-makers:

And get their verified work emails — automatically.

It's full-stack prospecting.

And it works at scale.

🎥 Watch the Full Workflow Video

📚 Tools Used:

Crustdata: B2B Data for Companies and People as API— for AI-powered company discovery with hiring, funding, and growth signals. Tell them we recommended them!
Clay — for enrichment, and email verification
La Growth Machine - for multi-channel outreach (LinkedIn, Email, SMS).

🧰 Website’s technical stack:

OpenAI GPT-4.1 — for advanced agent reasoning and prompt interpretation (via OpenAI Agents SDK)
Cursor — developer-first AI IDE for shipping the front-end experience fast
Next.js — framework used to build the AI agent interface

💡 TIP for non-technicals: This could also be built with no-code AI Agent platforms like Relevance.ai (we’re proud partners) or N8N.

If you're doing enterprise prospecting, this can help you build smarter pipelines in 2025.