How to Scale Your AI Agency (Forward Deployed Engineer Model Breakdown)

📚 Grab Brandon’s board in the #1 community for AI entrepreneurs: https://bit.ly/4rmeaeP 📈 Become a Wildly Profitable AI Entrepreneur: https://bit.ly/4rw2syC 🤝 Ready to transform your business with AI? Let's talk: https://bit.ly/4qRjkzz 📋 Get our FREE 14-day playbook for finding high-impact AI opportunities in any business: https://bit.ly/14-day-playbook- Most AI agencies are stuck chasing new clients while the real money is in going deeper with the ones they already have. In this video, I sit down with Brandon Wong to break down the Forward Deployed Engineer model — the same approach that helped Palantir become a $50B company — and how he's applying it to scale his AI agency with zero ad spend. We cover how embedding directly inside client operations unlocks deals that remote pitches never could, why starting with simple automations beats selling complex AI agents, and how to structure long-term partnerships where clients become collaborators instead of just invoices. If you're building an AI agency and want a model that compounds instead of constantly restarting, this one's for you. Connect with Brandon:   / bwong5995   ⏱️ Timestamps: 00:00 What We're Covering 01:06 Palantir-style FDE for agencies 05:17 From one-offs to retainers 09:12 GTM without ads 19:54 Prototypes that close 33:51 Proving ROI and the product path

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FDE: The $1M/Year AI Job Explained

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How to Build & Sell AI Agents in 2026: Ultimate Beginner’s Guide

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How We’ll 2x Our LinkedIn In The Next 6 Months (Specific Tactics)

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The FDE Playbook for AI Startups with Bob McGrew

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The Simplified AI Agency Model That PRINTS $35,000/m on Autopilot (copy this)

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The ULTIMATE AI Consulting Course For Beginners (2026)

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Open Claw Runs My $11M Business: How To Get Rich In The New Era Of AI Agents (Even As A Beginner!)

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How to Build & Sell AI Automations: Ultimate Beginner’s Guide

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Model Context Protocol (MCP), clearly explained (why it matters)

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Colin Jarvis | Head of Forward Deployed Engineering at OpenAI: Trust. Product. Impact.

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