Build With AI

Grab Nick's exact blueprint for scaling a managed AI agent business to $50k/month: https://corey-ganim.kit.com/5e8c982461
Use code COREY to get your first 3 days of Orgo.ai free then 20% off your first 3 months: https://www.orgo.ai/?r=COREY
I brought on Nick Vasilescu, co-founder of Orgo, and we built out the complete blueprint for a one-person managed AI agent business that can hit $50K a month in recurring revenue. The model is straightforward: charge $5K per month per client for unlimited agents, unlimited tokens, and unlimited infrastructure. You handle everything so the business owner never has to think about what a token is or how to set up Hermes. We walk through the full stack, the offer, how to find and close clients, how to onboard them using an effort versus impact matrix, and how to deploy and manage agent fleets on Orgo. Nick even sets up a Hermes agent from scratch in twenty-six seconds live on screen. If you want a business you can start this week with skills you already have, this episode gives you the whole thing.
Join our AI Operator Academy Community where we help entrepreneurs start and scale a profitable AI services business: https://www.skool.com/aioperatoracademy/about
Timestamps

00:00 – Intro and what you'll walk away with
01:14 – The $5K per month per client blueprint overview

01:46 – The biggest arbitrage: most businesses don't know what agents can do

03:11 – The offer: unlimited tokens, agents, and infrastructure

05:08 – Best industries for managed agents and how to pick a niche

06:07 – Go broad first, let the market pull you into a niche
08:06 – How to find clients: content, Upwork, and free work for case studies

09:43 – Why your first clients should be free

11:06 – Onboarding: voice recorder to workflow map to effort versus impact matrix

12:32 – The audit as a foot-in-the-door offer

14:49 – Steal this flow: free mini audit into paid audit into managed service
16:00 – The agent stack: Hermes, Composio, and Orgo

17:51 – Composio for one-click tool connections
19:53 – Orgo walkthrough: spinning up workspaces and agent computers
21:02 – How workspaces map to clients

22:25 – The client never sees Orgo, it's your operator layer
24:38 – Troubleshooting client agents from your phone

26:49 – Building industry-specific productized agent apps

27:59 – From audit transcript to deployed skill in ten minutes
28:36 – Orgo discount code for the audience

29:47 – Windows computers on Orgo: managing Codex and Claude Code for clients

32:35 – Cloning agent templates for instant productization
33:50 – Twenty-six second Hermes installation live on screen
37:16 – The full stack: Hermes, Composio, Orgo, Agent Mail
38:08 – Watchdogs: get alerted before your client notices a problem
39:31 – Why being a good communicator is your biggest edge

41:28 – Token cost management with Codex subscriptions
41:36 – The math: ten clients equals $50K MRR at 85% margins

43:04 – Why most people still won't take action
45:00 – Thinking long term: the cost of intelligence is going to zero

Key Points

The core offer is simple: unlimited tokens, unlimited agents, unlimited infrastructure for $5K a month. Business owners do not care about the technical details. They want their problem solved, and your job is to remove all complexity.

The best sales flow is a three-step funnel: a free mini audit that uncovers one pain point, a paid full audit for $1,000 that maps five to seven workflow opportunities, and then a $5K per month managed service where you credit the audit fee toward the first month.
The effort versus impact matrix is the key to onboarding. After the first call, you map every workflow the client mentions, plot them by value versus effort, and start with the ones in the high-value low-effort quadrant. That first win is the hook.
Orgo lets you manage fleets of agent computers across all your clients from one dashboard. Each client gets their own workspace. You can spin up a Hermes agent from a template in twenty-six seconds and clone golden snapshots to productize your setup across multiple clients in the same niche.
Composio solves the biggest fulfillment bottleneck in managed agents: connecting all of a client's tools. The client connects their apps in one place, gives you the API key, and your agent has access to everything.

The math works even with conservative assumptions. One new client every six weeks gets you to ten clients and $600K ARR in a year. Token costs per client run about $200 a month via a Codex subscription, leaving you with 85 percent or higher gross margins.

Nick's long-term thesis: the cost of intelligence is going to zero. Even if you lose money on tokens in month one, the spread will widen every month as models get cheaper. Think about where the puck is going.
 Hermes Agent: https://www.hermes.agent Agent Mail: https://agentmail.to Excalidraw business blueprint diagram: [placeholder - link to diagram]
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YouTube:@nickvasiles
Orgo: https://www.orgo.ai

LIMITED bonus from Hyperagent: First 1,000 people get $1,000 in free Hyperagent credits. Claim yours: https://www.hyperagent.com/corey
I brought on Alex McDonnell from HyperAgent, which is the new agentic platform built by the team at Airtable, and we walked through a full business model for selling AI services to local brick-and-mortar businesses. The play is simple: use agents to find businesses with great reviews but terrible or nonexistent websites, have HyperAgent build them a new site automatically, then lead with that as a free tripwire offer. We go deep on the real upsell, which is revenue-driving systems like speed to quote tools for landscapers and mechanics that close deals faster. By the end of this episode, you'll have a complete offer structure you can take to any local business owner 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

Timestamps
00:00 – Intro
00:43 – What HyperAgent is and the business model concept
02:19 – Why this outreach wasn't possible before AI agents
05:16 – The command center for managing agent-built prospects
07:59 – Website before and after: Veslo Family Restaurant
10:36 – How HyperAgent judges website quality on its own
15:10 – Speed to quote system for a landscaping business
19:53 – Why zero landscapers in your city have this yet
22:55 – Pricing the offer: $5-10K setup plus monthly retainer
26:14 – Live build: speed to quote for CS Automotive
27:35 – Plan mode vs execute mode in HyperAgent
30:39 – Running agents on a Kanban board in Airtable
33:30 – Selling the agent itself as the product
37:03 – Agent marketplace and the compute markup model
38:05 – Live result: the CS Automotive quote tool finishes
42:20 – Static artifacts as lead gen, always-on agents as the upsell

Key Points
The tripwire offer model works because agents can now build a full website for a local business in under an hour for about nine dollars in compute, turning what used to be a paid deliverable into a free lead gen tool.
HyperAgent doesn't just find businesses without websites. It has the judgment to recognize that a business has a website but it's bad, which is a much harder problem that most agentic tools couldn't solve even a few months ago.

The real money is not in the website. It's in upselling always-on revenue systems like speed to quote tools that help businesses close deals faster, priced as a $5-10K setup fee plus a monthly retainer of $200-1,000.
The landscaping speed to quote example is the standout: a customer submits a photo of their yard and gets back three design variations with toggleable features, live pricing, and financing options, all generated by an agent.
Every skill Alex builds for HyperAgent demos gets published for free on X and GitHub, so you can grab the landscaping build, install it, and take it to a client without building from scratch.
HyperAgent's long-term vision includes an agent marketplace where creators publish agents and earn a markup on compute costs, making distribution feel free to the end user while the builder still gets paid.

Airtable - System of record for managing agent workflows via Kanban boards - https://www.airtable.com
If this episode was valuable to you, it would mean a lot if you left a rating and review on Apple Podcasts or Spotify. It helps more entrepreneurs find the show.
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Grab the free cheat sheet of all eight objections plus a how-to-use-them section - https://corey-ganim.kit.com/a2e17c90d1
In this solo episode, I break down the eight most common objections you'll hear when pitching AI services to business owners, and I show you exactly how to destroy each one. I cover the QuickBooks analogy that handles "can't I just use ChatGPT myself," why skeptics need one concrete win in days instead of more hype, and the ROI flip that makes "it's too expensive" the easiest objection on the list. I also walk through the effort versus impact matrix for owners who tried AI and got bad results, the five pillars that prove no business is too specialized, and the exact framing for "let me think about it." By the end of this episode, you'll have a ready response for every objection standing between you and your next closed AI deal.

Join our AI Operator Academy Community where we help entrepreneurs start and scale a profitable AI services business https://www.skool.com/aioperatoracademy/about
Timestamps
00:00 – Intro
00:14 – Objection 1: Can't I just use ChatGPT myself?
01:25 – Objection 2: AI feels overhyped
02:05 – Free cheat sheet of all eight objections
02:33 – Objection 3: It's too expensive
03:46 – Objection 4: I don't have time right now
04:55 – Objection 5: I tried AI and got bad results
05:40 – The effort versus impact matrix
06:30 – Objection 6: My business is too specialized
06:50 – The five pillars of an AI operating system
07:30 – Objection 7: I don't want to replace my people
09:00 – Objection 8: Let me think about it
09:45 – The $999 AI assessment close
10:25 – Recap and how to grab the cheat sheet

Key Points

You destroy "can't I just use ChatGPT myself?" with the QuickBooks analogy: you could do your own books, taxes, and insurance, but you pay an expert because they know what to do and you don't want to spend the time learning.

"It's too expensive" is the easiest objection to overcome because you can always flip it to ROI. If a few thousand dollars buys back five hours a week or unlocks more revenue, the expensive option is doing nothing.

"I don't have time" is the objection that proves the pitch. The owner has no time because they're buried in the exact day-to-day tasks you'd be automating.

Most owners who tried AI and got bad results jumped straight into tinkering. The right way is auditing existing workflows with an effort versus impact matrix and stack-ranking exactly where AI makes sense.

No business is too specialized for AI. Every business runs on follow-up, quoting, scheduling, and emails, and every business runs on the same five pillars: sales, marketing, finance, operations, and intelligence.

Frame AI as automating tasks, not roles. It pulls the grunt work off the team so they can do the job they were actually hired for, and you never lead with replacing people.

"Let me think about it" is usually a smokescreen. Reframe the real decision: every week of waiting is more hours lost to a task that could be automated, and the cost of staying stuck compounds.

ChatGPT - https://chatgpt.com

Claude - https://claude.ai

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Grab the full mini assessment playbook in Notion for free, including the first-call script and the second-call prep checklist: https://corey-ganim.kit.com/0cea7ca381
In this solo episode, I hand over the complete free AI mini assessment framework I use to turn business owners into paid clients in two 15-minute calls. I walk through the three levers of ROI, the five questions to ask on the fact-finding call (including the ROI anchor and my favorite, the magic wand question), and how to pick the one bottleneck that sits at the intersection of high frequency and high friction. Then I break down the prescription tree, when to recommend an off-the-shelf tool, Claude Cowork, or a custom Claude skill, and the exact three things you bring to the follow-up call. By the end, you'll be able to run this assessment confidently in about 15 minutes and ask the money question that converts 30 to 50% of free assessments into paid work.
Join our AI Operator Academy Community: https://www.skool.com/aioperatoracademy/about

Timestamps
00:00 – Intro
00:14 – The lens: one bottleneck, one tool, one upsell
00:30 – The three levers of ROI
00:57 – Meeting one: the 15-minute fact-finding call
01:25 – The forking question
01:43 – The repetition question
01:58 – The friction question
02:10 – The ROI anchor question
02:45 – The magic wand question
03:35 – Closing call one and booking the follow-up
03:55 – Between meetings: frequency and friction research
04:43 – Meeting two: prescribing the one solution
05:15 – Finding off-the-shelf tools in AI directories
06:20 – Claude Cowork vs. a custom Claude skill
07:08 – The three things you bring to call two
07:40 – The money moment and the upsell question

Key Points

Every prescription has to pull one of three ROI levers: effectiveness (more revenue), efficiency (hours back in their week), or quality (happier customers). Let the owner pick the lever, then weight everything back to it.

Meeting one is pure discovery. Prescribe nothing. Ask the five questions, listen, and close by naming the one bottleneck with the highest opportunity back to them.

The ROI anchor: get the owner to quantify the pain in their own words. Two hours a week at $200 an hour is $400 a week they could get back, and that number does the selling for you.

The bottleneck worth fixing sits at the intersection of high frequency and high friction. That's the one you prescribe. Everything else stays in your back pocket.

The prescription tree: common tasks get an off-the-shelf tool, tasks involving judgment, writing, or research get Claude Cowork, and repeatable workflows unique to their business get a custom Claude skill.

When prescribing a custom Claude skill, tell them the what, not the how. That gap is your upsell.

Come to call two with three things, the name of the tool, what it costs, and the first step they could take this week, then ask the money question: hand it off, build it with you, or build it for you? 30 to 50% of the time, they say build it.

Free Notion template with the full mini assessment playbook, first-call script, and second-call prep checklist - [ADD NOTION TEMPLATE LINK]

There's An AI For That - AI tool directory searchable by industry to find off-the-shelf fixes - https://theresanaiforthat.com

Futurepedia - another AI tool directory for matching tools to client pain points - https://www.futurepedia.io

Claude Cowork - the prescription for tasks involving judgment, writing, or research - https://claude.com

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I brought on Ryan Doser — a non-technical marketer with over a decade of experience who built a real-world Claude Code SEO workflow that's generated $5,000 in passive revenue in under two months — to show exactly how this works, step by step. We walk through two full demos: how Ryan repurposes YouTube videos into SEO-optimized blog posts automatically via a WordPress MCP connection, and how he vibe-coded an entire local service business website from scratch using Claude Code, Astro, GitHub, and Cloudflare — no developer required. He also shows us how he's running the same WordPress workflow for a paying client that's now showing up number one in Google AI overviews for national keywords. By the end of this episode, you'll know exactly how to do this yourself, how to sell it as a service to local businesses, and where Ryan's $99 Claude Code Skill Stack fits into the equation.
Skool Community: https://www.skool.com/aioperatoracademy/about

Timestamps
00:00 – Intro and what you'll take away 
00:33 – Does this require coding knowledge? 
01:12 – Demo 1: WordPress Claude Code SEO workflow 
03:26 – Who to sell this to (creators vs. B2B clients) 
05:50 – How the blog post auto-publishes to WordPress 
07:15 – Google Search Console results and $5K in passive revenue 
09:38 – Breakdown of the revenue timeline and digital product 
11:42 – Real client example: MedX Dental IT 
13:34 – AI search results and ranking #1 in Google AI overviews 
14:50 – How to price this as a service and prove ROI 
16:42 – Demo 2: Local service businesses as the target niche 
19:47 – The fake septic tank site ranking on page one 
22:00 – Building and deploying with Astro, GitHub, and Cloudflare 
27:35 – Why this model beats time-saving automations 
31:23 – Why SEO is evergreen and the long-term pitch to clients 
33:00 – Live deploy: blog post goes from Claude Code to live site 
34:14 – Wrap-up and where to find Ryan

Key Points

Ryan is a non-technical marketer — no coding background. He built this entire workflow as a regular person figuring it out, which means anyone watching can do the same thing. If the barrier felt technical before, that framing matters.

The WordPress workflow is fully hands-off after one prompt. Claude Code scrapes a YouTube transcript, pulls screenshots from the video, compresses and uploads images to WordPress, writes the blog post with proper H2/H3 structure, assigns a category, sets the featured image, writes the meta description, and publishes a draft — all without touching the CMS.

Ryan made over $5,000 passively from a $99 digital product, with roughly 80% of that revenue attributed directly to blog traffic from AI-repurposed YouTube videos. He implemented this in late February and the traffic didn't even start building until mid-April - so the real window was about six weeks.

The fake Des Moines Septic site - built in a single three-to-four-hour Claude Code session two weeks before recording - was already ranking on page one of Google, beating legitimate businesses, Better Business Bureau, and HomeAdvisor for "septic tank pumping near me." That's the case study you use to land clients.

The client pitch for boring local service businesses is not immediate ROI - it's long-term compounding. Work done today pays dividends in year one, year two, and year five, even after the retainer ends. Business owners who think long-term immediately get this, and they're exactly who you want as clients.

The whole stack is nearly free. GitHub is free. Cloudflare has a generous free tier. VS Code is free. Astro is free. All you need is a Claude subscription - $100 a month gets you real output capacity. The arbitrage between a $100/month subscription and two or three clients paying $2,000–$5,000 a month each is hard to argue with.

Ryan's approach to client acquisition for local businesses: go in person. With AI-generated spam calls and emails everywhere, walking into a business and talking to the owner directly cuts through the noise. Even as a mediocre salesperson, ten in-person conversations with decision-makers will close at least one client.

Links Mentioned

Ryan's Claude Code Skill Stack — 25–30 marketing and content skills including the WordPress repurposing workflow and the local service site builder — https://ryandoser.com/

Ryan Doser's YouTube channel — real-world Claude Code workflows for marketing and content, with full walkthroughs of everything shown in this episode — https://www.youtube.com/@RyanDoserAI

AI Marketing Insiders community — Ryan's 1,000+ member community for marketers using AI — https://www.skool.com/ai-marketing-insiders

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Website: https://ryandoser.com/
AI Marketing Insiders: https://www.skool.com/ai-marketing-insiders