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Build With AI

Corey Ganim

Most AI podcasts talk about what's possible. Build With AI shows you how it's done, live. Each episode, host Corey Ganim brings on entrepreneurs and operators who share their screen and build real AI automations, workflows, and tool setups right in front of you. No boring slides. Nothing that hasn't been battle-tested. You'll watch actual implementations get built from scratch so you can follow along and do the same in your business. If you're a non-technical entrepreneur who wants to put AI to work without becoming a developer, hit play and build along with us.

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  • 20 episodes
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  • Yesterday · 17 min

    # 188 How to make f*ck you money SEOmaxxing boomer businesses

    Find the exact 10-page prompt I used to build this app here: Steal the prompt I used to build the SEO machine in Letaido All Ahrefs customers get 1 month of Letaido for free. Sign up for Ahrefs here: https://ahrefs.com/ Right now there's a massive opportunity in AI that most companies have no idea how to solve: they don't know how to show up in AI search results. In this solo episode, I walk through how to build a standalone app inside Latito (Ahrefs' new agentic tool) that finds exactly where your competitors are getting cited by ChatGPT, Gemini, and Perplexity while you're invisible, then writes, previews, and one-click publishes content to close that gap. I show the whole build end to end, from the exact prompt I used to generate the app, to pulling live opportunity data on real competitor sites, to publishing a finished article straight to my website. By the end of this episode, you'll have a repeatable system you can turn around and sell to local and mid-size businesses as an AI visibility audit, a content service, or a full monthly retainer. 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 - Why AI Search Visibility Is the Opportunity Right Now 01:30 - Introducing Latito: Ahrefs' Agentic SEO/GEO Tool 02:30 - The Exact Prompt Used to One-Shot the App Build 04:00 - Setting Up Brand, Competitors & Target Platforms 06:30 - Finding Opportunities: 47 AI Answers Analyzed in Seconds 08:00 - Breaking Down the Top Opportunity ("What is Poppy AI for?") 10:30 - How a Competitor's Article Is Winning AI Citations 12:00 - Generating a Competing Article Automatically 14:30 - Why AI Search Rewards Numbered Lists, Tables & FAQs 16:00 - Previewing the Article Before Going Live 18:00 - Turning Off Test Mode & Publishing to the Live Site 20:00 - Tracking Daily AI Citation Performance Over Time 21:30 - 4 Ways to Monetize This as a Service Key Points Traditional SEO has shifted into GEO/AEO (generative/AI engine optimization) — the game now is getting cited inside AI answers on ChatGPT, Gemini, Perplexity, and Copilot, not just ranking on a Google results page. The Latito app connects directly to Ahrefs' data to scan AI answers across all platforms, flag which competitors are getting cited, and surface content gaps as concrete "opportunities" ranked by how winnable they are. In one demo run against two real competitor sites, the app pulled 47 AI answers, found 47 answers where the brand was missing, and narrowed that down to 5 final content opportunities worth acting on. The app doesn't just diagnose the gap — it writes a full article (with meta description and URL slug), validates its own draft for quality, and lets you preview it live on your actual site before anything goes public. AI citation engines consistently favor a specific content structure: numbered lists, comparison tables, and FAQ sections at the end are what get pulled into AI answers, and the generated article included all three by default. Publishing is deliberately friction-heavy for safety — you have to verify facts and sources, then type PUBLISH in all caps before anything pushes live to the site via GitHub/Vercel. Once published, the app tracks daily whether your brand is mentioned, whether your page is cited, and your AI share of voice against competitors — the exact data needed to sell this as an ongoing retainer with a monthly ROI report. Latito - the agentic SEO/GEO tool from the makers of Ahrefs used to build this app - https://www.letito.app FIND ME ON SOCIAL X/Twitter: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim

  • Thursday · 26 min

    # 187 7 AI services boomer businesses are BEGGING for

    In this solo episode, I break down the exact 7 AI service offers that small business owners are lining up to pay for right now, starting with the one that requires zero AI experience to sell. I walk through the what, why, build process, and real pricing for each one, from the $999 AI assessment that converts 50-60% of clients into bigger engagements, to the AI concierge retainer that's currently my biggest personal income stream, to full implementations that can run $5,000 to $10,000 or more. I share real client stories along the way, including a fintech CEO whose weekly memo process we cut from two hours to 15 minutes, and an Amazon seller whose 25-step ad reporting process we trimmed to 10. By the end of this episode, you'll know exactly which offer to start with, how to price each one, and how they stack into each other so you're never stuck pitching something you're not ready to fulfill. 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: The 7 AI Offers Small Businesses Want 00:20 - Offer 1: The AI Assessment (What, Why, Build, Price) 02:40 - Free Report Template (audittemplate.ai) 04:00 - Offer 2: The AI Concierge (Corey's Top Income Offer) 06:30 - Turning Client Intake Forms into Claude Projects & Skills 07:40 - Concierge Pricing & Effective Hourly Rate Math 08:40 - Client Story: Automating a Fintech CEO's Weekly Memo 09:40 - Offer 3: Process Redesign (Fixing Broken Workflows First) 11:20 - Case Study: Cutting a 25-Step Amazon Ad Process to 10 12:20 - Offer 4: Simple Automation Builds with Zapier & Make.com 13:40 - Case Study: Automating a Wedding Venue's Asana Onboarding 14:50 - Offer 5: Knowledge Systems (Custom GPTs Trained on Client Data) 16:10 - Case Study: Business Broker's Custom GPT Cuts 500 Emails to 10 17:10 - Offer 6: Custom Workflows & Claude Skills 18:30 - Case Study: The Podcast Production Orchestrator Skill 19:50 - Offer 7: Full Implementation (Mix and Match Everything) 21:00 - Why You Start with the Assessment, Not the Full Build Key Points The AI assessment is the best offer to start with because it requires no AI expertise to sell. It's a paid diagnostic: a 45-minute interview uncovering bottlenecks, delivered as a report showing 3-7 off-the-shelf AI tools the business can implement immediately. Priced at $999, and 50-60% of clients convert into a bigger implementation engagement. The AI concierge is a done-with-you monthly retainer where you sit side by side with the business owner and turn their manual processes into Claude skills. Priced at $1,000-$2,000 a month for two 45-minute calls, which works out to $750-$1,250+ an hour, because you're pricing on hours saved for the client, not hours worked. Never automate a broken process. A process redesign strips the waste out of a workflow before any AI or automation touches it. One Amazon seller paid $3,500 just to cut his 25-step, 10-hour-a-week ad analysis process down to 10 steps and about an hour a week, before automation was ever on the table. Simple automation builds using Zapier or Make.com work best when the input and output are concrete and repeat the same way every time. A wedding venue business paid $1,500 to fully automate a manual Asana onboarding duplication task that was eating an hour of a project manager's time every week. Knowledge systems are custom GPTs or Claude projects trained on a client's content to answer repetitive questions. A business broker went from 500 buyer emails per listing to about 10 after we built a custom GPT trained on his marketing package, priced at $3,000. Custom workflows turn a client's existing scattered AI use into one-click Claude skills. One client's podcast production process, previously 30-45 minutes of manual copy-pasting into ChatGPT, became a five-minute run of an orchestrator skill. This tier prices at $3,000-$5,000, based on the deliverable, not the hours. Full implementation is the mix-and-match top tier, combining any of the previous six offers into one engagement priced at $5,000-$10,000 or more, plus a monthly retainer worth roughly 10% of the build price to maintain it. Don't pitch this until you've done 5-10 smaller projects first. Links mentioned Free AI assessment report template, the exact one used to deliver $999 assessments - https://www.audittemplate.ai Fathom, the AI notetaker used to transcribe discovery calls - https://fathom.video Claude, used to analyze call transcripts, find matching tools, and build client-specific Claude Projects and skills - https://claude.ai Gamma, one of the tools used to build assessment report deliverables - https://gamma.app Jotform, used to build the AI concierge client intake form - https://www.jotform.com Zapier, used for simple workflow automation builds - https://zapier.com Make.com, used for simple workflow automation builds - https://www.make.com Asana, the project management tool automated in the wedding venue case study - https://asana.com FIND ME ON SOCIAL X/Twitter: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim

  • Monday · 36 min

    # 186 How to sell managed AI agents as a service (recurring revenue)

    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 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. 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: 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 what tasks are being requested and coach in real time. Client acquisition ran entirely on free work and referrals — no social following required. Phil did free setups for close friends to get testimonials, and those friends referred him to paying clients in bigger cities, expanding a small-town Georgia network into clients across the country. Not every profitable offer is the right offer for you. Phil explicitly avoids multi-tool consulting and audits (the AI Concierge model) because it's not what he enjoys fulfilling — his advice is to find the intersection of what's lucrative and what you actually want to deliver. Orgo, an AI agent infrastructure platform - https://orgo.ai Watch Corey's prior episode with Nick, co-founder of Orgo, referenced in this conversation - https://www.youtube.com/@coreyganim Sidecar, Phil's managed AI agent service (Sidecar SMB, with an enterprise tier in development) - https://runsidecar.com FIND ME ON SOCIAL X/Twitter: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim FIND PHIL ON SOCIAL Phil’s X: https://x.com/fhlcreative Sidecar Website: https://www.runsidecar.com/

  • July 30 · 43 min

    # 185 I'm Starting an AI Agency from Scratch (Episode 1)

    Try Hyperagent for free ($1,000 free credits for first 1,000 signups): https://www.hyperagent.com/corey Want the exact prompts I used to build these agents? Download them free here: Steal the 4 Exact Prompts I Used to Launch an AI Services Business From Scratch. Copy, paste into Hyperagent, and your lead gen + outreach agents are live today. In this solo episode, I kick off a four episode series where I build an AI services business from scratch and prove exactly how many days it takes to land a paying client using 100% cold outreach, no audience, no network, and a hard cap of 60 minutes of work per day. I walk through why I'm targeting tree service companies in Charlotte, North Carolina, the dead-simple $500 offer I'm selling them (a website, an AI lead intake agent, and a Google Business Profile cleanup), and then build the first agent in the fleet live inside Hyper Agent, the Prospector, which scrapes the web, finds and cleans a full lead list, and gets our outreach machine ready to go. By the end of this episode, we have 98 verified leads, a live sales pipeline dashboard, and a full outreach script pack ready to start texting, calling, and knocking on doors in episode two. Timestamps 00:00 - Intro: Proving Anyone Can Land an AI Client 01:24 - Series Constraints: Cold Outreach Only, 60 Minutes a Day 02:19 - Why Tree Services in Charlotte Are the Target Niche 03:35 - Backup Niches: Pressure Washing, Junk Removal, Driveways 04:02 - The Offer: $500 Website Plus AI Lead Intake Plus GBP Cleanup 05:07 - The 5-Agent Fleet Hyper Agent Will Give Away in Episode 4 05:55 - Agent 1: The Prospector, Scraping and Cleaning Leads 06:31 - Agent 2: The Opener, Writing Texts, Calls, and Replies 07:16 - Agent 3: SiteSmith, Building Free Lead-Magnet Websites 08:17 - Agent 4: The Fulfiller, Delivering the Paid Engagement 08:56 - Agent 5: Account Manager, the $100/Month Upsell 09:49 - What Each of the Four Episodes Will Cover 13:03 - Building the Prospector Agent Live in Hyper Agent 19:03 - Running the Lead Scrape in Plan Mode 21:03 - Hyper Agent Auto-Discovers a Marketplace Skill on Its Own 24:26 - 8 Sub-Agents Dispatched to Research Leads in Parallel 24:52 - Results: 494 Businesses Found, 98 Qualified, $151 in Credits Spent 25:56 - Touring the Leads' Broken, Missing, or Hijacked Websites 30:03 - Reviewing the Auto-Branded Live Pipeline Dashboard 31:29 - Building the Opener Agent and Its No-Pitch First-Text Rules 37:04 - The Finished Outreach Scripts and Objection Responses 41:38 - Episode 1 Recap and What's Coming in Episode 2 Key Points The series has a strict scoreboard: the day counter only stops when a Stripe invoice is actually paid, not on a verbal yes, and every constraint (cold outreach only, 60 minutes a day) is designed to strip away any advantage so the process is copyable by anyone watching. Tree services in Charlotte were chosen because the industry hasn't been consolidated by private equity, it's high ticket (multiple thousands per job), buyers often hire whoever picks up the phone first during emergencies, and most operators don't have a working website. The offer is deliberately underpriced at $500 flat for a hosted website, a speed-to-quote AI lead intake agent, and a Google Business Profile cleanup, specifically so price can never be the reason the challenge fails. Five agents get built across the series and given away free in episode 4: the Prospector (finds and cleans leads), the Opener (writes texts, call scripts, and objection replies), SiteSmith (builds the free lead-magnet websites), the Fulfiller (delivers the paid engagement end to end), and the Account Manager (a $100/month maintenance upsell). The Prospector agent scraped 494 businesses, verified down to 98 qualified leads with mobile numbers and no working site, and did it by autonomously deploying 8 sub-agents to search different cities in parallel, all for about $151 in credits. While building the plan, Hyper Agent independently found and installed a "Small Business Website Builder" skill from its own marketplace, without being asked, because it judged the skill relevant to the task. The Opener agent's first-touch texts follow strict rules: under 160 characters, no links, no emojis, no mention of AI, websites, or marketing, signed only "Corey," written casually enough (using local phrasing like "y'all") to read as a neighbor texting, not a company pitching. FIND ME ON SOCIAL X/Twitter: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim

  • July 27 · 42 min

    # 184 How to make $5K per month per client selling managed AI agents

    Download the exact blueprint behind Nick’s always-on AI agent Dewey, with its own cloud computer, phone, email, payment card, and password vault and start texting your own in about two minutes (free). Nick and I both use Orgo to build and deploy our managed agents. 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. Orgo - Computers for AI agents | Orgo Nick Vasilescu is back on the pod, and this time he's showing exactly how his personal AI agent, Dewey, is running his managed agent business for him. I sat down with Nick, co-founder of Orgo, to break down how Dewey builds, deploys, and even supports client agents inside Slack and iMessage with zero hands-on work from Nick. We get into the full 80/20 tech stack he uses (harness, model, computer, memory, connectors), how he closed another $5K/month client and had their agent live within 48 hours of the wire hitting his account, and the B2B2B insight that's making these deployments sticky: building an agent for a client that they then resell to their own customers. By the end of this episode, you'll understand exactly what tools to stack together to build your own AI employee and how to turn that into a productized, recurring managed agent business. Timestamps: 00:00 - Intro & What You'll Learn From This Episode 01:29 - Meet Dewey, Nick's Personal AI Agent 02:03 - Watching Dewey Onboard a Client Agent Into Slack Live 04:00 - Hermes Maker Hiring Forward Deployed Engineers Signals Opportunity 09:02 - Orgo Elevator Pitch: Purpose-Built Cloud Computers for Agents 12:05 - Orgo Discount Code: 3 Days Free + 20% Off 3 Months 13:02 - Spinning Up Agents From Templates With the Nick Stack 15:32 - Productizing Agents So You're Not Rebuilding From Scratch 19:50 - Why a Client Pays $5K a Month for a Managed Agent 22:56 - The B2B2B Model: Reselling the Agent to Your Client's Customers 27:22 - Breaking Down the Full Agent Stack: Harness, Model, Computer, Memory & Connectors 33:01 - From Paid Invoice to Live Agent in 48 Hours 36:24 - Turning a Granola Call Transcript Into Agent Skills 39:27 - Why Paid Assessments Are the Perfect Lead-In Offer 41:02 - Where to Find Nick & Follow His Work Key Points The service layer of deploying AI agents into businesses is the real opportunity right now. Hermes's creators are hiring forward deployed engineers to deploy agents into enterprise, which validates that this is a venture-scale market — and the SMB and mid-market tier beneath enterprise is wide open. Dewey, Nick's personal agent, does the actual fulfillment work: he builds client agents from scratch, onboards them into Slack, texts customers on iMessage to fix issues, and manages the entire agent fleet without Nick touching a keyboard. Newer models are increasingly choosing computer use over MCPs or connectors because they're trained on human behavior — they operate a full desktop the way a person would, which is why Orgo gives agents a real computer instead of a headless sandbox. Nobody pays $5K a month for a managed agent unless it makes them money. The unlock isn't always a direct-revenue agent like sales or speed-to-lead — it can be a B2B2B model where you build the agent for a client, and they productize and resell it to their own customer base, creating true stickiness since their revenue now depends on your infrastructure. The core agent stack breaks down into a harness (OpenClaw or Hermes) powered by a model (Grok or GPT-5.6), running on a persistent computer (Orgo), with its own email and phone (Agent Mail, Agent Phone), a knowledge base (Obsidian), persistent memory (Honcho.dev), and tool connectors (Composio). Speed to value matters enormously: the same day a client wires their first payment, their agent should already be live and something should be visibly built for them — that immediate reciprocity builds trust fast. Building is commoditized. The real skill today is asking the right discovery questions, understanding a client's workflow, and knowing which tools to hand off to your agent — which is exactly why paid audits and assessments work so well as a lead-in offer. The Agent Bundle - bundle of Agent Card, Agent Mail, and Agent Phone (plus an Orgo computer) for around $20/month, from the "agent mafia" - https://www.theagentbundle.com Honcho.dev - managed persistent memory layer so an agent remembers context across Slack, Telegram, and every other channel - https://www.honcho.dev Composio - free tool connector layer that gives agents read/write access to Gmail, calendars, and other platforms - https://composio.dev Higgsfield - AI creative generation tool Dewey uses to make thumbnails and short explainer videos - https://higgsfield.ai vidIQ - YouTube research tool Dewey uses to find high-performing videos and build winning thumbnails - https://vidiq.com Latitude.so - observability platform for monitoring agent conversations and catching customer sentiment issues - https://latitude.so Obsidian - knowledge base tool Nick wires into his agent's stack - https://obsidian.md Apify - scraping connector used to source leads that get enriched via Clay - https://apify.com Clay - lead enrichment platform connected via MCP - https://www.clay.com FIND ME ON SOCIAL X/Twitter: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim FIND NICK ON SOCIAL X: https://x.com/nickvasiles YouTube: https://www.youtube.com/@nickvasiles Website: https://www.orgo.ai

  • July 23 · 1 hr

    # 183 The 3 Levels of AI Automation (full playbook)

    In this episode, I sit down with Greg and give away the entire playbook behind our AI Tools Assessment offer, the simplest AI-powered business model you can start in 2026 with zero AI skills, zero audience, and zero capital. I walk through the exact four-phase process we use to run a $999 assessment for small business owners, the client-facing report template (which you can download for free), and the six-item upsell menu that turns a $999 foot-in-the-door offer into $3K, $5K, and $10K+ engagements. I also break down my current AI Concierge retainer, which is generating me over $1,000 an hour, and the seven no-capital, no-audience client acquisition methods I'm using right now to fill my pipeline. By the end of this episode, you'll have the full stack: the offer, the fulfillment process, the upsells, and how to actually go get clients. Grab the free AI Tools Assessment report template (built in Claude Design, plug-and-play for your own clients): https://audittemplate.ai 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: The Simplest AI Business Model of 2026 02:00 - Why Give Away the Entire Playbook (Blue Ocean Opportunity) 03:30 - The AI Tools Assessment Offer Explained ($999, 45 Mins) 05:00 - The 5-Hour Guarantee & Average Client Results 09:00 - Phase 1: The Discovery Call & The Magic Wand Question 13:00 - Phase 2: Feeding the Transcript to Claude for Tool Research 15:00 - Quality Assurance & Making Judgment Calls 18:00 - Best Tool Directories: Futurepedia & There's An AI For That 19:30 - Phase 3: Building the Client Report in Claude Design 24:00 - Free Download: The AuditTemplate.ai Report Template 27:30 - The Effort vs. Impact Matrix & Quick Wins 32:00 - Why Most Recommendations Are Simple SaaS Tools (Not Big AI) 34:00 - Phase 4: The Review Call & The 3 Closing Questions 37:30 - Upsell 1: Process Redesign (Fixing Broken Workflows First) 39:00 - Upsell 2: Simple Zapier, Make & n8n Automations 41:00 - Upsell 3: Knowledge Systems (The Business Broker Example) 43:30 - Upsell 4: Custom Claude Skill Workflows & Retainers 46:00 - Upsell 5: Full Implementation Packages 47:30 - 7 Ways to Find Clients With No Capital or Audience 59:30 - The AI Concierge Offer: $1,000+/hr Done-With-You Consulting 1:05:00 - The AOA Framework: Audit, Optimize, Automate 1:07:00 - Why Niching Down Is the Key to Pricing Power 1:09:00 - Wrap-Up Key Points The AI Tools Assessment is a $999, 45-minute structured interview where you prescribe three to seven off-the-shelf AI tools that reclaim at least five hours a week for the client, backed by a 100% money-back guarantee if you can't find that time. The fulfillment process is four phases: a recorded discovery call to surface pain points, feeding that transcript to Claude to research matching tools, building a templated client report in Claude Design, and a review call that ends with three closing questions to surface the upsell. A confused mind doesn't buy, doesn't implement, and doesn't upsell. The report is built around an effort versus impact matrix that isolates "quick wins," a four-day quick start plan, and a financial impact slide that shows exact monthly ROI. There are six upsells after the assessment: process redesign, simple automation builds, knowledge systems, custom Claude skill workflows, retainers, and full implementation packages, with average tool costs around $60 a month against thousands of dollars in monthly ROI. Seven ways to find clients without capital or an audience: hosting a local AI meetup, door knocking, LinkedIn DMs that lead with pain instead of pitching, free mini-audits for your network, agency referral partnerships, AI office hours at co-working spaces, and posting your wins publicly. The AI Concierge offer is two 45-minute monthly calls plus Voxer access, teaching clients to use Claude Cowork and build their own Claude skills. It closed five of the first six people pitched and hit 8K MRR in ten days. Crediting the $999 assessment fee toward a bigger upsell, while quietly marking the upsell up to stay profitable, is one of the most effective ways to get a prospect off the fence. Links mentioned: Futurepedia.io, a large AI tool directory recently acquired by HubSpot - https://www.futurepedia.io TheresAnAIForThat.com, an AI tool directory searchable by industry - https://theresanaiforthat.com Gamma, the tool used early on to build assessment reports - https://gamma.app Claude, used to research tools from the discovery call transcript and to build client-facing skills - https://claude.ai Audittemplate.ai, free download of the exact AI Tools Assessment report template used in Claude Design - https://audittemplate.ai Fathom, the AI note taker used to record and transcribe discovery calls - https://fathom.video Sanebox, the most-prescribed tool for getting clients out of email overload - https://www.sanebox.com Zapier, used for simple one-to-three-step automation builds - https://zapier.com Make, used for automation builds as an alternative to Zapier - https://www.make.com n8n, another automation platform used for client workflow builds - https://n8n.io FIND ME ON SOCIAL X/Twitter: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim

  • July 20 · 1 hr 7 min

    # 182 The Ultimate AI Services Free Course ($0-$10K in 30 Days)

    Download the full AI Services Resource Library including every resource mentioned in this episode (free): Steal the Entire AI Services Resource Pack This is the full AI services business course, A to Z, completely free. I walk through exactly how I built a business that hit $8,000 in MRR in 10 days and now generates over $1,000 an hour, starting with one lunch conversation with a commercial real estate broker who offered to pay me to find AI opportunities in his business. I break down the entire three-offer ladder: the free mini assessment that gets you in the door, the $999 paid AI tools assessment, and the AI Concierge retainer that's now the majority of my personal income. You'll see the exact scripts, the Claude skills, the Notion and JotForm templates, and the pricing psychology behind all of it. By the end of this episode, you'll have a full playbook to go from zero to your first $5,000-$10,000 in revenue in 30 days. 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 the AI Concierge origin story 02:24 – The AOA framework: Audit, optimize, automate 04:43 – The three-offer ladder overview 07:06 – How the free mini assessment works 09:31 – The magic wand question 14:20 – Prescribing the right tool and teeing up the upsell 19:04 – Building a voice agent to run assessment interviews 21:26 – Using a Claude skill to score pain points and tools 23:47 – Inside the six-part assessment report 31:01 – Why $1,000 is the minimum assessment price 33:25 – Defining the AI Concierge retainer offer 40:30 – Automating the concierge backend with Claude skills 52:25 – Four ways to find your first clients 01:04:08 – The 30-day plan to your first $5K–$10K Key Points Every AI implementation has to pull one of three ROI levers: effectiveness, meaning it makes you more money, efficiency, meaning it saves you time, or quality, meaning it improves your product, service, or customer experience. If it doesn't hit one of those, it's not worth doing. The AOA framework governs everything: audit the process as it's done manually today, optimize by cutting the fat, and only then automate. Business owners who skip straight to automate usually fail because they never simplified the process first. The free 15-minute mini assessment is the tripwire offer. Ask about repetitive tasks, friction points, and hourly value, then close with the magic wand question. Done right, this converts 30-50% of people into the $999 paid assessment. Never charge less than $1,000 for the paid AI tools assessment. Pricing it at $200 and then $500 still got yeses, but clients didn't take the recommendations seriously until the price hit $1,000 and they had real financial skin in the game. The AI Concierge retainer runs $1,000-$2,000 a month for two 45-minute working sessions, and Corey's blended hourly rate across his five current clients comes out to roughly $1,250 an hour. Four Claude skills automate the entire concierge backend, intake to project files, call update, follow-up email, and an orchestrator called AI Concierge Post Call that chains the last two together, cutting admin work down to under five minutes per client per week. Both the assessment and the concierge offer run at about 99.8% net margin since the only real cost is a $20-a-month Claude subscription. Links Mentioned: AI Tools Assessment Report Template: https://audittemplate.ai SaneBox: https://sanebox.com Futurepedia: https://futurepedia.io There's An AI For That: https://theresanaiforthat.com FIND ME ON SOCIAL X/Twitter: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim

  • July 16 · 25 min

    # 181 Best AI startup idea of 2026 (I'm making $1,000/hour with it)

    Grab the Free report template: https://audittemplate.ai Grab the full Excalidraw diagram: AI Assessment framework (public) — Excalidraw Plus This is the full AI assessment masterclass. I walk through the four phases of the $999 AI tools assessment, the expansion menu of services you can sell after, seven ways to find clients without spending any money, and then the AI concierge upsell that is generating over a thousand dollars an hour for me right now. I have five clients on the concierge offer paying between twelve hundred and two thousand dollars a month each for two 45-minute calls. That is the entire deliverable. This episode gives you the full playbook end to end so you can go do this yourself. 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: The full AI assessment masterclass 00:30 – What is the AI tools assessment and how does it work? 01:30 – Phase 1: The 45-minute discovery call and key questions to ask 02:24 – Phase 2: AI analysis, Claude finds 3-7 tools from the transcript 03:30 – Using Futurepedia and There's an AI for That to fill gaps 04:00 – Phase 3: The report, nine slides in Claude Design 04:54 – Effort versus impact matrix, quick wins, financial impact 05:30 – Phase 4: The review call, walking through the report 06:00 – Three closing questions that convert 50-60% into paid work 06:30 – The expansion menu: what to sell after the assessment 07:00 – Process redesign at $3,000–$3,500 07:30 – Automation builds at $1,000–$7,000 08:00 – Knowledge systems at $3,000 with the business broker example 09:40 – Custom workflows: prompt packs, skill packs, templates at $3,000–$5,000 10:00 – Full implementation at $5,000–$10,000+ 10:30 – Seven ways to sell with no money and no audience 11:00 – Method 1: Host a local AI meetup 12:07 – Method 2: Door knock 30 businesses, the DM success story 13:00 – Method 3: LinkedIn DMs targeting CEOs with 10-50 employees 13:30 – Method 4: Free audits to your existing network 14:20 – Method 5: Agency partners, become the AI guy for your CPA 15:30 – Method 6: Free AI office hours at a co-working space 16:44 – Method 7: Post your wins on LinkedIn 18:00 – The AI concierge offer: done-with-you consulting at $1,200–$2,000/month 19:10 – The math: $750–$1,250 per hour effective rate 20:00 – Call 1: Onboarding to Claude Cowork with the plugin 21:00 – Every call after: AOA on their workflows one at a time 21:32 – What makes it feel premium: onboarding form, Notion hub, Voxer 23:56 – Why this is the best AI startup idea of 2026 Key Points The AI tools assessment is the front door. For $999, you sit down with a business owner for 45 minutes, pull out their pain points, have Claude find three to seven off-the-shelf tools, and deliver a nine-slide report. Fifty to sixty percent of the time, they want paid help implementing what you prescribed. The four phases are discovery call, AI analysis, report delivery, and review call. Phase two is where Claude does the heavy lifting by analyzing the transcript and finding tools. Phase four is where you close by asking which recommendation is most urgent, whether they want help, and what their timeline is. The expansion menu has five tiers: process redesign at three to three and a half thousand, automation builds at one to seven thousand, knowledge systems at three thousand, custom workflows at three to five thousand, and full implementations at five to ten thousand or more. Seven ways to sell with no money and no audience: host a local AI meetup, door knock local businesses, LinkedIn DMs targeting CEOs, free audits to your existing network, agency and referral partners, free AI office hours at a co-working space, and post your wins consistently on LinkedIn. The AI concierge is the highest dollar-per-hour offer. Two 45-minute calls per month at twelve hundred to two thousand dollars a month puts your effective hourly rate between $750 and $1,250. With five clients, total admin outside the calls is almost zero thanks to Claude skills that handle follow-up emails and Notion updates. The Notion hub is the renewal engine. After every call, a Claude skill logs the top three takeaways, action items, and an inventory of everything built. When the client looks at that ledger, they see undeniable value and keep renewing. Voxer is the high perceived value bonus that almost nobody uses. Five clients over three months generated a total of four Voxer messages. The 12-hour SLA makes it feel premium without adding real workload. Links Mentioned: Futurepedia: https://www.futurepedia.io There's an AI for That: https://theresanaiforthat.com Fathom: https://fathom.video Voxer: https://www.voxer.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. FIND ME ON SOCIAL X/Twitter: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim

  • July 13 · 21 min

    # 180 The single best way to get leads for your AI services business (full guide)

    Grab the AI for Business Meet up Prompt (free) This is the full playbook for hosting a local in-person AI for business meetup that generates leads and clients for your AI services business. I modeled this on my friend Andrew Hewitt's Triad Dev Connect event, which has generated eighty thousand dollars in attributed revenue over seven months at a cost of about four thousand dollars per year. I adapted his model for non-technical business owners and had Claude generate a single prompt that produces every deliverable from venue research to follow-up sequences to a full operating SOP. I walk through the entire prompt and every phase of the plan in this episode. The prompt is free in the description if you want to grab it and run it yourself. 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: How to use the AI prompt 01:00 – The Quarterly Rock: 3 events & closing a client by September 02:21 – The Strategy: Why this event exists (Leads, authority, & content) 03:30 – Target Audience (ICP): Reaching non-technical business owners 04:47 – Case Study: How Andrew made $80K from a monthly meetup in 7 months 07:30 – Phase 1: Venue research & the perfect pitch email 09:31 – Phase 2: Designing a high-impact 90-minute event format 10:30 – The Soft CTA: Pitching the free 15-minute AI assessment 12:30 – Phase 3: Marketing through local Facebook groups 14:17 – The Co-Host Strategy: Partnering with Facebook group owners 16:00 – Phase 4: Setting up Luma for lead capture & attribution 16:35 – Phase 5: Email follow-up sequences based on lead temperature 18:30 – Phase 6: Team execution & Standard Operating Procedures (SOPs) 19:01 – Phase 7: The Playbook Call with an active organizer 19:30 – Phase 8: Building a Scoreboard for weekly & monthly metrics 21:27 – Outro: Download the prompt for free! Key Points The entire event playbook is generated from a single Claude prompt. You give Claude the context about who you are, what you sell, and what your quarterly goal is, and it produces every deliverable: venue research, event format, marketing plan, follow-up sequences, attribution system, operating SOP, and a scoreboard. The model is proven. Andrew Hewitt's Triad Dev Connect in Winston-Salem has generated eighty thousand dollars in directly attributed revenue over seven months at a cost of about four thousand dollars per year. That works out to roughly eleven thousand dollars a month from one monthly event. The ICP is non-technical business owners. Every talk, demo, post, and email must pass the non-technical test. If a slide has code on it, that speaker does not speak. There is already a large developer-focused meetup in Charlotte, which means there is a massive gap for this audience. The marketing engine relies on local Facebook groups. Claude found nine Charlotte business groups with tens of thousands of members. The strategy is to join the groups, introduce yourself, then promote the event with three distinct post variations. The highest leverage move is getting one Facebook group owner to co-host and drive traffic. Attribution is built into the Luma registration. Three simple questions capture what the attendee does, what they want AI to fix, and how they heard about you. That data triages everyone into hot leads for services, warm leads for the community, nurture contacts for the newsletter, and no-shows who get a recap email and next month's date. The rock measurables keep it accountable: three events held this quarter, at least 25 attendees by the third event, full attribution tracking from event one, and at least one closed AI concierge or services client by September 30th. The operating SOP means you only do the heavy lift once. Claude produces a checklist from five weeks out to two days out covering everything from venue confirmation to post-event data entry. After event one, the team runs event two and three with zero input from you. Links Mentioned Luma: https://lu.ma 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. FIND ME ON SOCIAL: X/Twitter: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim

  • July 9 · 33 min

    # 179 The AI Operating System that sells itself (zero delivery work)

    Justin Brooke from Agent Skills is back on the podcast, and this time he walks us through the full business model behind selling AI systems as zip files with zero delivery work. His system is called CMO HQ, a marketing and sales operating system built entirely out of folders and markdown files that works with any AI, whether it is Claude, ChatGPT, Hermes, Codex, or anything else. The delivery model is dead simple: the customer buys from a sales page, receives a zip file with an operations manual and an installer dot MD file, hands that file to their AI of choice, and the AI builds out the entire system for them. No onboarding calls, no Loom walkthroughs, no custom setup. Justin shows us the full folder structure, the finance layer, a live content pipeline, and the actual installer file on screen. 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: Justin Brooke is back 00:23 - What CMO HQ is and why it works with any AI 01:23 - The folder structure: HQ, brands, finance, shared 03:30 - Brands folder: one per brand with intelligence, departments, and metrics 04:10 - The finance folder and why it matters for true marketing metrics 05:14 - The installer.md file that builds the whole system 05:45 - Why this is the simplest marketing OS out there 05:50 - Inside the finance folder: revenue, expenses, economics, reporting 06:48 - Connecting Google Ads, Kit, Thrivecart, and Xeny for full-picture data 07:56 - Building in iCloud for access from any device 09:27 - Marketing departments: paid, earned, and owned channels 10:00 - The sacred pipeline: active to review to publish 11:06 - Live example: faith-based niche site blog post end to end 13:30 - Automated performance reporting via MCP connections 15:18 - Why Justin does everything in Claude Cowork, not Claude Code 15:45 - How to sell any AI-generated asset to clients 16:25 - The delivery problem and why folders and files solve it 17:24 - The two-file delivery: operations manual plus installer.md 19:13 - Session transfer documents and how the system started 20:19 - Changelog.md for tracking business decisions 20:46 - The jobs to be done framework for building any system 22:01 - Jobs equal folders, instructions equal markdown files, which equal skills 23:26 - Why the nerds who want to build it themselves are not your customers 24:33 - Step one: jobs to be done, then vibe with Claude to build folders 26:00 - Three things every agent needs: memory, instructions, tools 26:18 - Why you should use a slide deck on every sales call 28:25 - The installer file walkthrough on screen 30:27 - Why this means zero delivery work 31:14 - Where to find Justin and Build Club 32:22 - Justin hangs out mostly on Twitter Key Points The entire system is folders and markdown files. No code, no complex frameworks, no platform lock-in. It works with Claude, ChatGPT, Hermes, Codex, or any other AI because all of them can read folders and files. The delivery model eliminates all fulfillment work. Customers buy from a sales page, receive a zip file containing an operations manual and an installer dot MD file, hand that installer to their AI, and the AI builds out the entire system. No calls, no custom setup, no support tickets. The installer dot MD file is the key innovation. It contains a greeting, an interview section that asks the customer about their business, and then the full folder structure with instructions. The AI reads it and builds everything automatically in one session. CMO HQ has four main sections: an HQ folder for personal and business identity, a brands folder with one subfolder per brand containing intelligence, departments, and metrics, a finance folder that connects to accounting and ad platforms for real financial reporting, and a shared folder for team collaboration. The jobs to be done framework is how you replicate this for any niche. Figure out what jobs need to be done in a business, make a folder for each job, put instructions in each folder, and you have a sellable system. Dentists, lawyers, agencies, any vertical works the same way. Three things every agent needs: memory so it knows what happened, instructions so it knows what to do, and tools so it can do the work. If you have those three things in folders and files, you can handle any job. The sales advice is simple and powerful: stop doing calls on the fly and use a slide deck for every sales call. It keeps you on pace, makes every call uniformly good by the fifth or sixth time, and becomes the training material when you hire a salesperson. Links Mentioned Agent Skills / Build Club: https://agentskills.ai Jake Van Cleef (ICM system and folders-and-files research): mentioned, search YouTube Ghost CMS: https://ghost.org 11 Labs: https://elevenlabs.io 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. FIND ME ON SOCIAL X/Twitter: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim FIND JUSTIN ON SOCIAL X/Twitter: https://x.com/agentskills_ai https://x.com/IMJustinBrooke Agent Skills: https://agentskills.ai

  • July 6 · 24 min

    # 178 Don't start an AI automation agency in 2026 (do this instead)

    Grab the assessment report template I use to deliver $999 AI assessments (free): https://audittemplate.ai/ Grab the full Excalidraw diagram I show in this video depicting the AI Offer Ladder: https://app.excalidraw.com/l/4z8Z2Lyybfg/8FAvEjYbuGc This is the full AI offer ladder that I use to sell AI services, from a free mini assessment all the way up to a two thousand dollar per month concierge retainer and beyond. I walk through all three tiers of the ladder step by step: the free mini assessment that converts thirty to fifty percent of the time, the paid assessment that we charge $999 for, and the AI concierge model that is my primary income source right now. I also cover four à la carte builds you can sell on top of the ladder, with real examples and exact pricing from engagements we have actually closed. If you want theof this offer ladder plus the assessment report template, both are linked below for free. 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: The three components of the AI offer ladder 00:30 – The free mini assessment: What it is and how it works 01:00 – Three levers of ROI: Effectiveness, efficiency, and quality 01:30 – Meeting one: Discovery call and the magic wand question 02:00 – Meeting two: Prescribing the fix 02:21 – Download the Excalidraw diagram for free 03:00 – Off-the-shelf tool vs. Claude Cowork vs. Claude skill: When to prescribe each 04:00 – Closing the free assessment: Gauging appetite for paid help 04:30 – Conversion data: 30 to 50 percent of free assessments convert to paid 04:44 – Step Two: The paid assessment at $999 05:30 – Annie: The voice agent that conducts the 45-minute interview 06:30 – Building the report in Claude Design 07:06 – Six parts of the paid assessment report 07:30 – The effort versus impact matrix and quick wins 08:30 – Quantifying ROI: Hourly Rate × Hours Saved − Tool Cost 09:29 – The 30-minute walkthrough call and the upsell moment 10:00 – Pricing progression: Free to $200 to $500 to $1,000 10:30 – Step Three: The AI concierge retainer 11:57 – Effective hourly rate: At $1,500/month is $1,000/hour 12:30 – JotForm intake as a hard requirement before call one 13:30 – Framework: AOA (Audit, Optimize, Automate) 14:06 – The call cadence and Voxer between sessions 15:30 – The Notion Hub as a renewal mechanism 16:26 – Two Claude skills that fill out Notion and draft follow-up emails in 30 seconds 17:00 – Concierge pricing: $1,000 to $2,000/month, capping at six clients 18:00 – À La Carte Build 1: Process optimization at $3,000 to $5,000 19:30 – À La Carte Build 2: Zapier or Make automation at $1,000 to $5,000 20:00 – À La Carte Build 3: Knowledge system or custom GPT at $3,000 21:00 – Case Study: Business broker custom GPT that cut 400 emails to 10 22:00 – À La Carte Build 4: Speed to lead agent 23:36 – Wrap-up and where to get the diagram and template Key Points The offer ladder has three tiers that build on each other. A free fifteen-minute mini assessment identifies one pain point and prescribes one tool. Thirty to fifty percent of those convert into a paid assessment at $999 that uncovers three to seven opportunities and delivers a full report. From there, clients can upsell into AI concierge at one to two thousand dollars a month. The free mini assessment is a two-meeting process. Meeting one is pure discovery for fifteen minutes. Between calls you research the bottleneck and find a tool. Meeting two you prescribe the fix and gauge appetite for paid help with three simple questions. The paid assessment report has six parts: executive summary, effort versus impact matrix, recommended tool stack, four-day quick wins plan, upsell opportunities for heavier builds, and a financial ROI slide that quantifies their monthly savings in dollars. The AI concierge model is two 45-minute calls per month where you run the AOA framework on every bottleneck: audit the manual process, optimize by cutting unnecessary steps, automate with a Claude skill. Two Claude skills handle the entire back end in thirty seconds. The math on concierge is compelling. At $1,500 per month for ninety minutes of call time, the effective hourly rate is $1,000 per hour. Capping at six clients means the maximum workload is nine hours of calls per month. Four à la carte builds can stack on top of the ladder: process optimization at three to five thousand dollars, Zapier or Make automation at one to five thousand, knowledge system or custom GPT at three thousand, and speed to lead agents that drive revenue directly. Links Mentioned Futurepedia: https://www.futurepedia.io There's an AI for That: https://theresanaiforthat.com JotForm: https://www.jotform.com Voxer: https://www.voxer.com Fathom: https://fathom.video 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. FIND ME ON SOCIAL: X/Twitter: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim

  • July 2 · 13 min

    # 177 Charge $999 to audit businesses with AI

    Grab the exact template I use to deliver the $999 AI audits here (free): https://corey-ganim.kit.com/fd0829de10 This is the actual AI tools assessment template that we deliver to clients after a $999 audit. Nine slides, built from scratch in Claude Design, walked through one by one so you can see exactly what goes on every slide and why. I cover the effort versus impact matrix, the tool stack recommendations, the four-day quick wins plan that gets clients to implement at least half the report in under a week, and the financial impact slide that shows them their monthly ROI in dollars. I also show you exactly how the assessment sets up the upsell into bigger projects, and at the end I give you the actual template file so you can duplicate it in Claude Design and start using it with your own clients. 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: The real AI tools assessment template 00:30 – Building the template in Claude Design and why we canceled Gamma 01:00 – How to auto-fill the template by dropping in a client transcript 01:30 – Slide 1: Title slide and the tweaks menu in Claude Design 02:00 – Slide 2: Executive summary with primary pain point and outcome 02:24 – The three levers of ROI: Effectiveness, efficiency, and quality 02:50 – Slide 3: The effort versus impact matrix 03:30 – Quick wins, fill-ins, major projects, and what to ignore 04:44 – Slide 4: Quick wins summary with pain point to tool mapping 05:30 – Slide 5: The full tool stack with cost, setup time, and time saved 06:30 – Slide 6: The four-day quick wins plan 07:02 – Why the four-day plan prevents implementation paralysis 07:30 – Slide 7: What comes after quick wins and the major projects upsell 08:30 – How to tee up the upsell on the review call 09:00 – Slide 8: Financial impact and the monthly net ROI calculation 09:20 – The ROI formula: Weekly Hours Returned × Hourly Rate − Tool Cost 10:30 – Slide 9: Next steps and the review call booking 11:00 – Three questions that close 50 percent of upsells on the review call 11:43 – How to duplicate the template in Claude Design using the HTML file 12:30 – Sixty seconds to a fully imported template Key Points The assessment template is nine slides built in Claude Design. You can drag and drop a client transcript into the Claude Design chat and it will auto-fill the entire template for you, making this nearly plug and play. The effort versus impact matrix is the light bulb moment for clients. It sorts all recommendations into four quadrants: quick wins that are high impact and low effort, fill-ins, things to ignore, and major projects that become your upsell opportunities. The tool stack slide is where you spend most of the review call. Each recommendation shows the pain point, the tool, a brief description, the monthly cost, setup complexity, and estimated weekly time saved. The four-day quick wins plan prevents implementation paralysis. Instead of overwhelming clients with six recommendations, you give them four things to do in four days that capture at least fifty percent of the report's value. The financial impact slide makes the ROI undeniable. Take the weekly hours returned times the client's self-reported hourly rate times four, then subtract the total monthly tool cost. A typical result: five hours per week at a hundred dollars per hour minus fifty dollars in tools equals $1,950 per month in net ROI from a $999 assessment. The major projects slide is the upsell. High impact, high effort solutions that need custom builds like Zapier automations, AI agents, or knowledge bases. On the review call, three simple questions close over fifty percent of clients: do you want my help implementing these, which will you tackle first, and how urgent is it. Links Mentioned: Claude Design: https://claude.ai SanBox: https://www.sanebox.com Fathom: https://fathom.video 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. FIND ME ON SOCIAL X/Twitter: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim

  • June 29 · 20 min

    # 176 How I run an $8K/month AI business in 5 minutes a day (full breakdown)

    Grab the free AI Concierge playbook including the full offer and fulfillment process:https://corey-ganim.kit.com/cde665995b This is the full AI concierge business model broken down step by step. You are going to see everything from the intake form to the Notion hub to the Claude skills that handle all the follow-up work in thirty seconds. I walk through the exact process I use with real clients: how to onboard them, how to run the first call, how to automate the entire back end, and how to earn the renewal without ever having to sell them again. Outside the calls themselves, I spend less than five minutes per client. This is the full playbook. 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 00:30 – Step 1: land the client from the AI assessment upsell 01:00 – Step 2: send the JotForm intake form before the first call 02:17 – The tool stack and team questions 03:00 – The outcomes section: what does winning look like in 90 days 04:00 – No form, no call: why the intake form is non-negotiable 04:36 – Step 3: the Notion hub walkthrough 06:00 – Open action items and the call log 07:00 – Tools and skills built on this call: the most important section 08:00 – How this works section and the 12-hour Voxer SLA 09:05 – Step 4: conducting the first strategy call 09:30 – Track 1: onboarding clients to Claude Cowork with the plugin 11:29 – Track 2: running AOA on the biggest bottleneck 12:00 – AOA framework: audit, optimize, automate 13:55 – Step 5: running the back-end skills in thirty seconds 14:30 – AI Concierge Follow-Up Email skill 15:00 – AI Concierge Call Update skill for Notion 15:30 – AI Concierge Post-Call orchestrator skill 16:14 – The follow-up email draft and one-click send 17:00 – Less than five minutes of post-call admin work 17:30 – Step 6: mind the gap, Voxer between calls 18:00 – Step 7: call two and beyond, stacking the build list 18:33 – Doubling the price for weekly call cadence 19:00 – Step 8: earning the renewal, the ledger does the talking 19:30 – The free checklist and AI Operator Academy Key Points The AI concierge model starts with a $999 AI assessment that upsells into an ongoing retainer. The intake form in JotForm acts as a mini audit so you arrive at the first call with a game plan instead of spending thirty minutes figuring out where to start. The Notion hub is the single source of truth for every client engagement. After each call, a Claude skill automatically fills in the top three takeaways, action items, and a detailed list of every tool and skill built on that call. That build log is the most important retention mechanism in the entire model. The AOA framework drives every strategy call: audit the process by having the client share their screen and show you the manual workflow, optimize by cutting unnecessary steps, then automate by turning it into a Claude skill or handing it to Cowork. Most clients hit their 90-day goal by call two or three. Three Claude skills handle the entire back end. AI Concierge Follow-Up Email drafts a recap email to the client. AI Concierge Call Update fills out the Notion hub from the call transcript. AI Concierge Post-Call runs both in parallel. Total time after each call is less than five minutes. The renewal sells itself. The build log inside Notion shows the client in unmistakable detail what they got for their money. You never have to pitch the renewal because the ledger does the talking. Between calls, Voxer is the async communication tool with a 12-hour SLA. Responding faster than promised is the easiest way to over-deliver and keep clients feeling supported. Links Mentioned: JotForm: https://www.jotform.com Notion: https://www.notion.so Fathom: https://fathom.video Voxer: https://www.voxer.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. FIND ME ON SOCIAL: X/Twitter: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim

  • June 25 · 53 min

    # 175 How I sell AI second brains for $5K each (full blueprint)

    Grab Adam's free build guide for building, packaging, and selling your first AI knowledge base: https://corey-ganim.kit.com/a49b7bd19d Adam Sandler from Viable Edge is back on the pod, and this time he walks through the full blueprint for selling AI-powered knowledge bases as a service. The pitch to clients is simple: I will clean up all of your company knowledge, organize it, structure it, and turn it into a living asset that powers every AI tool you use going forward. No Obsidian, no RAG, no vectors. Just markdown files on a local machine. Adam builds the whole thing live on screen using Claude Code with a fictional company, shows the seven note types every knowledge base needs, and breaks down the pricing tiers from a $750 audit to a $4,700 premium build. The real insight is that the knowledge base is not the end product. It is the foundation that opens the door to every future engagement with that client. 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 01:18 – Why Adam leads with the knowledge base on every engagement 02:55 – Knowledge base as a tripwire offer, same concept as the AI audit 04:12 – The pitch: clean up your company knowledge and make it a living asset 04:57 – You don't need Obsidian or RAG to start, markdown files are enough 06:12 – Why a provider-agnostic knowledge base protects clients from platform risk 07:00 – Token cost savings as a selling point for teams and enterprise 08:45 – Anthropic enterprise going to pay-as-you-go and why that matters 09:34 – The seven durable note types every knowledge base needs 13:19 – How the seven types simplify the what do I include question 14:13 – The spine concept: one foundational schema everything ladders up to 15:58 – Module-by-module walkthrough of Adam's mini course 16:58 – No client needs to touch Claude Code, this works in Cowork 18:06 – Coaching moments as value-adds during the build 18:29 – Live build: establishing the foundation with discovery prompts 20:16 – The discovery questions mapped to the seven note types 22:00 – Applying structure: from raw answers to schema 25:31 – Summary of the build process so far 27:01 – How to maintain the knowledge base after the initial build 27:38 – Pricing: audit, core build, and premium build tiers 29:09 – The knowledge audit as a foot-in-the-door offer 30:10 – Positioning options: department-by-department builds for larger clients 30:52 – The first knowledge base files and the index file 34:50 – Three layers of context: hot, durable, and disposable 35:47 – Setting up Cowork global instructions to recognize the knowledge base 38:33 – The ingest skill: automating information intake from multiple sources 39:47 – The curate skill: weekly health checks on the vault 41:26 – Provider portability as a major selling point 42:18 – Handling sensitive client information 43:41 – Upselling from the knowledge base: let the data tell you what to build next 46:16 – Light bulb moment: the knowledge base recommends its own next project 47:08 – Value-add opportunities: competitive insights, call transcript analysis 48:25 – Why solo practitioners can compete with startups in this space 50:09 – Second brain as a service is going to be one of the hottest AI offers 51:58 – Where to find Adam and the free guide Key Points The knowledge base solves the foundational problem every AI engagement runs into: where is the client's information and how is it organized? Starting here sets up every future project to succeed and gives you a reason to keep working with the client. There are seven durable note types that form the starting schema for any client: snapshot, people and contacts, ongoing conversations, preferences and rules, project history, decisions and rationale, and open loops. This framework answers the question of what to include and what to leave out. The spine is the one foundational piece of data everything else ladders up to. For most clients, it is their annual goals or objectives. Every other note in the knowledge base should be traceable back to it. No fancy technology is required to start. The entire build runs on markdown files. No Obsidian, no RAG, no vector databases. You can add sophistication later, but a simple implementation still delivers massive value and is easy to sell because there is zero technical friction for the client. The sales flow mirrors the AI audit model: a $750 knowledge audit maps where the client's information lives and what the schema should look like, then upsells into a $3,500 core build or $4,700 premium build. The audit fee gets credited toward the build. Two skills keep the knowledge base alive after the initial build. The ingest skill automatically processes new information from sources like Gmail, calendar, and an inbox folder. The curate skill runs weekly to flag stale notes, contradictions, open items, and gaps. The biggest upsell comes from the knowledge base itself. Once all of a client's context is in one place, you can query it for the top opportunities to implement AI next, and the client does not need to be sold because the data is making the case. 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. FIND ME ON SOCIAL X/Twitter: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim FIND ADAM ON SOCIAL YouTube: https://www.youtube.com/@viableedge

  • June 22 · 47 min

    # 174 Building a one-person AI agent business that makes $50K/month

    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] 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. FIND ME ON SOCIAL X/Twitter: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim FIND NICK ON SOCIAL X: https://x.com/nickvasiles YouTube:@nickvasiles Orgo: https://www.orgo.ai

  • June 18 · 45 min

    # 173 The $5K AI offer that costs $9 to fulfill (how to build and sell it)

    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. FIND ME ON SOCIAL X/Twitter: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim FIND ALEX ON SOCIAL X/Twitter: @hyperagentapp

  • June 15 · 11 min

    # 172 8 objections you'll get selling AI services (and how to destroy them)

    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 FIND ME ON SOCIAL X/Twitter: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim

  • June 12 · 9 min

    # 171 How I convert free mini assessments into $999 AI audits

    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 FIND ME ON SOCIAL X/Twitter: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim Click to enable keyboard move mode.

  • June 9 · 37 min

    # 170 Building an SEO business with Claude Code

    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 FIND ME ON SOCIAL X/Twitter: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim Skool Community: https://www.skool.com/aioperatoracademy/about FIND RYAN ON SOCIAL YouTube: https://www.youtube.com/@RyanDoserAI Website: https://ryandoser.com/ AI Marketing Insiders: https://www.skool.com/ai-marketing-insiders

  • June 5 · 14 min

    # 169 How I'm finding all my AI services clients

    In this solo episode, I walk through seven ways to land clients for your AI services business — starting with the method that personally got me seven qualified leads in about two hours of total effort. I cover everything from hosting a local AI meetup to knocking on doors to LinkedIn outreach to building agency partnerships, and I break down exactly what to say and do at each step. Every method ties back to one simple foot-in-the-door offer that converts cold strangers into paying clients. By the end, you'll know where to start, what to prioritize first, and how to stack these methods to build a real pipeline fast. Join AI Operator Academy where we go even deeper on selling AI services, finding clients, and building an AI Operating System: https://aoa.community/ https://app.excalidraw.com/l/4z8Z2Lyybfg/jhXBCxthrX Timestamps 00:00 – Intro 00:00 – Method 1: Host a local AI for small business meetup 02:24 – The follow-up that makes the meetup worth it 02:50 – Method 2: Door knocking local service businesses 04:47 – Method 3: LinkedIn outreach without being spammy 06:30 – Method 4: Free audits for people in your network 07:10 – Documenting wins and building early testimonials 08:10 – Method 5: Partnering with agencies, coaches, and consultants 09:35 – Method 6: Hosting AI office hours at a co-working space 11:56 – Method 7: Posting your wins on LinkedIn 13:30 – Where to start: the three methods to do first Key Points Hosting a local AI for small business meetup is the single best method to start with. Find a free venue (library, co-working space, or a realtor's office), set up an Eventbrite or Luma page, give a 20-minute talk on basic AI tools, and capture every name, phone number, and email at the door. The magic is in the follow-up within 24 hours. The foot-in-the-door offer that powers every method on this list is a free 15-minute mini AI assessment. You're not selling anything upfront — you're prescribing one simple AI tool specific to their business. That assessment is what converts conversations into paying clients. Door knocking local service businesses is the lowest-hanging fruit if you want a client today. One person went into 30 businesses, got five appointments, and landed two paying clients. If you do 10 walk-ins a week consistently, you will get clients. Partnering with marketing agencies, coaches, and consultants is the highest long-term value method on the list. These partners already have your future clients as their clients, and most of them have no good answer when those clients ask about AI. You become their go-to AI resource and offer a cut of any work they send your way. One good partner can send you 50 to 100 leads over the course of a year. Hosting AI office hours at a co-working space gives you free marketing and free exposure while positioning you as the local AI expert. You show up for two hours, answer member questions for free, and document every single question — those become your social media content and your client pipeline. Every free audit, every question you answer, every text message that says "wow, I didn't know that" is an early win and an early testimonial. Screenshot all of it. These are your case studies for landing the next client and building toward charging $999 for a full paid assessment. LinkedIn is the best platform for landing AI services clients. Post three to five times a week mixing wins, answers to common questions, and real education. Stay top of mind so that when someone needs an AI expert, you're the first person they call. Luma - Event registration platform for hosting and promoting your AI meetup - https://lu.ma Eventbrite - Free event pages to get attendees registered and confirmed - https://www.eventbrite.com AI Operator Academy - https://www.skool.com/aioperatoracademy/about FIND ME ON SOCIAL X/Twitter: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim