Episode Details

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I sat down with Phil Goodwin, a completely non-technical designer who sold his last business this past November and, just months later, built a managed AI agent business he now runs under the name Sidecar. Phil walks through his exact stack, how he prices setup fees and monthly per-agent retainers, and the "guinea pig" pitch he used to land his very first paying clients without a following or an email list. We get into real client use cases (a one-man directional drilling company, a short-form video editor), the group-chat trick he uses so clients actually learn to talk to their agent, and a dead-simple weekly value tracker that quantifies exactly why a client should keep paying every month. By the end of this episode, you'll have a working blueprint for pricing, pitching, and delivering a managed agent offer even if you've never written a line of code.

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Timestamps

00:00 - Intro: The Promise of This Episode

00:41 - Phil's Non-Technical, Design-First Background

02:43 - What "Managed Agents" Actually Means

04:14 - Coaching Plus AI Employee, Not Plug-and-Play

05:31 - How Phil Built Agents for Himself, Then Friends

08:23 - Setup Fee Plus Per-Agent Pricing Model Explained

09:55 - Why "We Fix It Before You Notice" Is the Real Value Prop

11:53 - Real Client Use Cases Across Industries

12:30 - Drilling Company Client and the Telegram Group Chat Trick

15:21 - The Value Ledger: Tracking Hours and Dollars Saved Weekly

17:00 - Short-Form Video Editing Use Case

18:41 - Give Agents a Human-Readable Source of Truth, Not Just Markdown

19:53 - Finding First Clients Through Friends and Referrals

23:21 - Pick the Offer You Enjoy Fulfilling, Not Just the Lucrative One

24:31 - The Exact Text Phil Sends to Pitch Free "Guinea Pig" Work

26:29 - Pricing Breakdown: From $250/Month to a $1,500 Setup

29:37 - Should You Skip the Free Phase and Go Straight to Paid?

31:23 - Step One Advice: Pick Orgo and Land Your First Client

34:22 - Where to Find Phil and Sidecar

Key Points

Managed agents aren't plug-and-play. Phil's offer is a hybrid of coaching, consulting, and a deployed AI employee — he acts as the ongoing manager of the agent, not just the person who installed it, which is why clients pay a few grand a month instead of walking away after setup.

Phil started by pricing pure infrastructure setups at $500, then raised it to $1,000, $1,500, and $2,000 as people kept saying yes — but he learned that handing off infrastructure without ongoing coaching causes clients to abandon the agent within weeks because they don't know how to talk to it.

His current pricing model is a setup fee plus a per-agent monthly fee, a deliberate departure from flat unlimited-agent pricing (like the $5K/month unlimited model his podcast guest Nick uses) because most clients only need one or two agents, not unlimited access.

The single most valuable "pro tip" from this episode: have the agent maintain a value ledger that logs every task it completes and assigns it a time and dollar value, then send the client a weekly report. One client saved 63 hours and $6,300 in his very first week — a number that makes churn almost impossible.

Phil sets up a three-way Telegram group chat with himself, the client, and the agent, so the client can watch him interact with the agent and learn how to prompt it, while Phil can see exactly w