Stop Building AI Agents the Hard Way: Lessons from 25 Years in AI (w/ Rob Webster)

It's here! The culmination of our series on agents, and if you've ever wondered how to make the most of the AI agents in your business (without a huge budget or a team of developers), this is the episode for you.

This week on Early Adoptr, we are joined by Rob Webster, who has spent 25 years working at the intersection of data, machine learning, and marketing, including working on data and technology for brands like Dell, Tesco, and Coca-Cola. He now runs Tau Marketing Solutions, where he helps businesses adopt AI and build agents to solve real marketing problems. In this episode he joins Jess and Kyle and shares everything he has learned about making agents that actually work. From the "Fisher Price Agent" to building a daily action plan, the four components every working agent needs and why most agents fail, this episode is a goldmine of tips from years of experience.

We also cover a major deal between SpaceX and Cursor, and what it tells us about where the real competition in AI is playing out right now.

What You'll Learn

The two-prompt method Rob uses to turn a vague goal into a concrete daily action plan The four components every working agent needs and the reason most agent setups fail to produce useful output Why the most valuable skill in AI right now has nothing to do with technology, and how anyone can develop it What human-in-the-loop looks like as a working habit rather than a safety concept How to start with a "Fisher Price Agent" Rob's tips for getting unstuck when you hit a wall

Try Granola If you've ever sat in a meeting, taken what felt like decent notes, and then opened them afterwards and they didn't capture anything, Granola is the tool for you. It runs in the background, captures everything, and turns your notes into something you can actually use. Both Jess and Kyle use it, it plays really nicely with Claude, and it is one of our most highly recommended tools

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Timestamps:

00:00 What We've Been Up to This Week 03:16 Interview with Robert Webster 05:07 AI News: SpaceX and Cursor Deal 05:47 Meet Rob Webster 10:51 The Two-Prompt Method: Going from Vague Goal to Concrete Plan 13:28 The Four Components Every Working Agent Needs 18:14 Why Knowing What Good Looks Like Is the Real Skill 20:26 Human-in-the-Loop in Practice 26:20 Building a Co-CEO Agent: From Fisher Price to Advanced 33:01 Where to Start If You Are Not Technical 37:42 Takeaways 40:07 AI News of the Week: SpaceX & Cursor

Resources:

Rob Webster - https://www.linkedin.com/in/digitalstrategyleader/ TAU Marketing Solutions - https://taums.ai/ AI Agents in Media Planning and Buying: https://taums.ai/ai-agents-in-media-planning-and-buying/ Judging the Coming Wave of Agentic Adtech: https://taums.ai/judging-the-coming-wave-of-agentic-adtech/ Mastering the Messy Middle: https://taums.ai/mastering-the-messy-middle-with-a-balanced-approach-to-ai-implementation/ 10 Predictions for Marketing and AI in 2026 (Futureweek): https://futureweek.com/rob-webster-10-predictions-for-marketing-and-ai-in-2026/ The AI Land Grab interview (AdWorldNews): https://www.adworldnews.com/news/robert-webster-tau-marketing-ai-land-grab

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