If you use BOTH the following link and code COREY, you'll get your first 3 days of Orgo free, then 20% off your first 3 months: https://www.orgo.ai/?r=COREY
I sit down with Phil Goodwin, a non-technical designer who sold his last business in November and, just a few months later, built a managed AI agent service called Sidecar that's now generating recurring revenue from small business clients across the country. We walk through exactly how Phil packages "digital employees" for business owners, why he acts as both the technician and the coach behind every agent he deploys, and the pricing structure he used to go from $250 setups with friends to real monthly retainers. Phil also breaks down the weekly ROI tracker he built into every agent that automatically reports back how many hours and dollars it saved the client that week. By the end of the episode, you will know exactly how to structure a managed agent offer, how to land your first paying client without an audience, and what infrastructure to use to get started this week.
Join our AI Operator Academy Community where we help entrepreneurs start and scale a profitable AI services business: https://www.skool.com/aioperatoracademy/about
We use Orgo to host every agent we deploy for clients — it gives your agent its own computer and is purpose-built for running managed agent services. Use our link and code COREY for a free trial period plus 20% off your first three months. https://orgo.ai
Links Mentioned: Orgo: https://orgo.ai Sidecar (Phil's managed agent service): https://sidecar.com FHL Creative (Phil's design background): https://x.com/fhlcreative
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 are a hybrid of a digital employee + coaching, justifying high monthly retainers.
• Reliability is key: Phil monitors agents so issues are fixed before the client even notices.
• 3-Way group chats (Phil, client, agent) train clients in real time on how to interact with AI.
• Built-in ROI: Weekly "value ledgers" prove exact hours and dollars saved to stop churn.
• Referral engine: Early free work for friends generated all of his first paying clients.
• Pricing scale: Evolved from $250/mo "guinea pig" deals to $2,000 setups + $1,000/mo per agent.
• No tech background needed: Pick infrastructure like Orgo and land your first client today.
Section Summaries
WHAT A MANAGED AI AGENT SERVICE ACTUALLY IS
Positioning AI agents as digital employees where you act as both manager and coach for high-ticket retainers.
BUILDING TRUST AND PROVING VALUE
How uptime monitoring, shared group chats, and a weekly "value ledger" keep client retention near 100%.
REAL-WORLD USE CASES
Concrete examples, from directional drilling company workflows to short-form video editing automations.
FINDING CLIENTS AND PRICING THE OFFER
How Phil landed 21 clients via friend referrals and scaled pricing from $250 deals to $1,500+ setups.
FIND ME ON SOCIAL
X/Twitter: https://x.com/GanimCorey
Instagram: https://www.instagram.com/coreyganim/
LinkedIn: https://www.linkedin.com/in/coreyganim/
FIND PHIL ON SOCIAL
Phil’s X: https://x.com/fhlcreative
Sidecar Website: https://www.runsidecar.com/
I sit down with Phil Goodwin, a non-technical designer who sold his last business in November and, just a few months later, built a managed AI agent service called Sidecar that's now generating recurring revenue from small business clients across the country. We walk through exactly how Phil packages "digital employees" for business owners, why he acts as both the technician and the coach behind every agent he deploys, and the pricing structure he used to go from $250 setups with friends to real monthly retainers. Phil also breaks down the weekly ROI tracker he built into every agent that automatically reports back how many hours and dollars it saved the client that week. By the end of the episode, you will know exactly how to structure a managed agent offer, how to land your first paying client without an audience, and what infrastructure to use to get started this week.
Join our AI Operator Academy Community where we help entrepreneurs start and scale a profitable AI services business: https://www.skool.com/aioperatoracademy/about
We use Orgo to host every agent we deploy for clients — it gives your agent its own computer and is purpose-built for running managed agent services. Use our link and code COREY for a free trial period plus 20% off your first three months. https://orgo.ai
Links Mentioned: Orgo: https://orgo.ai Sidecar (Phil's managed agent service): https://sidecar.com FHL Creative (Phil's design background): https://x.com/fhlcreative
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 are a hybrid of a digital employee + coaching, justifying high monthly retainers.
• Reliability is key: Phil monitors agents so issues are fixed before the client even notices.
• 3-Way group chats (Phil, client, agent) train clients in real time on how to interact with AI.
• Built-in ROI: Weekly "value ledgers" prove exact hours and dollars saved to stop churn.
• Referral engine: Early free work for friends generated all of his first paying clients.
• Pricing scale: Evolved from $250/mo "guinea pig" deals to $2,000 setups + $1,000/mo per agent.
• No tech background needed: Pick infrastructure like Orgo and land your first client today.
Section Summaries
WHAT A MANAGED AI AGENT SERVICE ACTUALLY IS
Positioning AI agents as digital employees where you act as both manager and coach for high-ticket retainers.
BUILDING TRUST AND PROVING VALUE
How uptime monitoring, shared group chats, and a weekly "value ledger" keep client retention near 100%.
REAL-WORLD USE CASES
Concrete examples, from directional drilling company workflows to short-form video editing automations.
FINDING CLIENTS AND PRICING THE OFFER
How Phil landed 21 clients via friend referrals and scaled pricing from $250 deals to $1,500+ setups.
FIND ME ON SOCIAL
X/Twitter: https://x.com/GanimCorey
Instagram: https://www.instagram.com/coreyganim/
LinkedIn: https://www.linkedin.com/in/coreyganim/
FIND PHIL ON SOCIAL
Phil’s X: https://x.com/fhlcreative
Sidecar Website: https://www.runsidecar.com/
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