Build With AI

Corey Ganim
  • 5.0 (3)
  • Entrepreneurship
  • Updated weekly

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.

  1. 1 day ago

    # 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 engagement02:55 – Knowledge base as a tripwire offer, same concept as the AI audit04:12 – The pitch: clean up your company knowledge and make it a living asset04:57 – You don't need Obsidian or RAG to start, markdown files are enough06:12 – Why a provider-agnostic knowledge base protects clients from platform risk07:00 – Token cost savings as a selling point for teams and enterprise08:45 – Anthropic enterprise going to pay-as-you-go and why that matters09:34 – The seven durable note types every knowledge base needs13:19 – How the seven types simplify the what do I include question14:13 – The spine concept: one foundational schema everything ladders up to15:58 – Module-by-module walkthrough of Adam's mini course16:58 – No client needs to touch Claude Code, this works in Cowork18:06 – Coaching moments as value-adds during the build18:29 – Live build: establishing the foundation with discovery prompts20:16 – The discovery questions mapped to the seven note types22:00 – Applying structure: from raw answers to schema25:31 – Summary of the build process so far27:01 – How to maintain the knowledge base after the initial build27:38 – Pricing: audit, core build, and premium build tiers29:09 – The knowledge audit as a foot-in-the-door offer30:10 – Positioning options: department-by-department builds for larger clients30:52 – The first knowledge base files and the index file34:50 – Three layers of context: hot, durable, and disposable35:47 – Setting up Cowork global instructions to recognize the knowledge base38:33 – The ingest skill: automating information intake from multiple sources39:47 – The curate skill: weekly health checks on the vault41:26 – Provider portability as a major selling point42:18 – Handling sensitive client information43:41 – Upselling from the knowledge base: let the data tell you what to build next46:16 – Light bulb moment: the knowledge base recommends its own next project47:08 – Value-add opportunities: competitive insights, call transcript analysis48:25 – Why solo practitioners can compete with startups in this space50:09 – Second brain as a service is going to be one of the hottest AI offers51:58 – 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

    53 min

  2. 4 days ago

    # 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

    48 min

  3. 18 Jun

    # 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 SOCIALX/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

    46 min

  4. 15 Jun

    # 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

    12 min

  5. 12 Jun

    # 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.

    10 min

  6. 9 Jun

    # 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

    37 min

  7. 5 Jun

    # 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 Timestamps00:00 – Intro00:00 – Method 1: Host a local AI for small business meetup02:24 – The follow-up that makes the meetup worth it02:50 – Method 2: Door knocking local service businesses04:47 – Method 3: LinkedIn outreach without being spammy06:30 – Method 4: Free audits for people in your network07:10 – Documenting wins and building early testimonials08:10 – Method 5: Partnering with agencies, coaches, and consultants09:35 – Method 6: Hosting AI office hours at a co-working space11:56 – Method 7: Posting your wins on LinkedIn13:30 – 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/coreyganimInstagram: https://www.instagram.com/coreyganim/LinkedIn: https://www.linkedin.com/in/coreyganim/YouTube: https://www.youtube.com/@coreyganim

    15 min

  8. 2 Jun

    # 168 How to build a $10K/month AI consulting business in 90 days (step-by-step)

    In this solo episode, I walk through the exact offer I'm using to make over $1,000 an hour with AI consulting — the AI Concierge Offer — and break it down step by step so you can replicate it. I cover every piece of the infrastructure: the pre-call intake form I built in Jotform, the two 45-minute done-with-you strategy calls every month, the Voxer access setup with a real SLA, and the Notion documentation hub that tracks every automation we build together. I also show you how two Claude skills handle all my post-call follow-up in 30 seconds flat, and walk through exactly how I price this — from $1,000 a month to start, all the way up to where I'm at now at $2,000 a month with a 100% close rate. By the end of this episode, you'll have a complete blueprint to go build your own AI consulting business and land your first paying clients.  https://link.excalidraw.com/l/4z8Z2Lyybfg/8E8aGK6n25P  Timestamps 00:00 – Making over $1,000/hour with the AI Concierge Offer 01:40 – The pre-call intake form built in Jotform 03:40 – The two 45-minute done-with-you strategy calls 04:30 – The AOA framework: Audit, Optimize, Automate 06:00 – Voxer access and the 12-hour SLA 08:00 – The Notion documentation hub walkthrough 09:56 – How two Claude skills automate post-call follow-up 12:15 – Pricing: from $1,000 to $2,000/month and when to raise rates 14:23 – How to get the full templates and business model   Key Points   The AI Concierge Offer is a done-with-you consulting engagement, not done-for-you. Two 45-minute strategy calls per month plus unlimited Voxer access — that's roughly 1.5 hours of your time per client at $1,500/month, which works out to $1,000 an hour.   The AOA framework — Audit, Optimize, Automate — is the operating system for every client engagement. You fix the process first before you ever touch automation, so you're not just automating broken workflows.   A pre-call Jotform intake questionnaire sent before the first paid call surfaces the client's biggest bottlenecks and makes the first session actually productive from minute one. If they haven't filled it out, reschedule — it's not optional.   The Notion documentation hub is the renewal mechanism. When clients can see a running quantified list of every skill, workflow, and automation you built together, the $1,500 or $2,000/month fee is easy for them to justify.   Two Claude skills handle all post-call admin in 30 seconds — one populates the Notion call log from the transcript, the other pulls out action items and drafts a follow-up email to the client. Build the infrastructure once and it runs itself.   When you're closing 100% of your sales calls, your price is too low. Start at $1,000/month, move to $1,500 once you have two clients, and keep raising until people push back. Corey is currently at $2,000/month and still closing every pitch.   Cap yourself at six clients. More than that and service quality degrades — and at $2,000/month, six clients is $12,000/month for roughly 9 hours of strategy call time.   Links Mentioned   AI Operator Academy — community with the full AI Concierge Offer business model, Jotform template, Notion hub template, and both Claude skills included: https://www.skool.com/aioperatoracademy/about   Voxer — walkie-talkie style async voice messaging app used for client communication between strategy calls: https://www.voxer.com   Jotform — form builder used to create the pre-call AI concierge intake questionnaire: https://www.jotform.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

    15 min
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About

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.

Information

  • Creator
    Corey Ganim
  • Years Active
    2023 - 2026
  • Episodes
    175
  • Rating
    Explicit
  • Copyright
    © 2026 Corey Ganim
  • Show Website
    Build With AI

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