Build With AI

Corey Ganim
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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. hace 4 h

    # 179 The 'Zip File' business model for selling AI systems (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

    34 min

  2. hace 3 días

    # 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 ladder00:30 – The free mini assessment: What it is and how it works01:00 – Three levers of ROI: Effectiveness, efficiency, and quality01:30 – Meeting one: Discovery call and the magic wand question02:00 – Meeting two: Prescribing the fix02:21 – Download the Excalidraw diagram for free03:00 – Off-the-shelf tool vs. Claude Cowork vs. Claude skill: When to prescribe each04:00 – Closing the free assessment: Gauging appetite for paid help04:30 – Conversion data: 30 to 50 percent of free assessments convert to paid04:44 – Step Two: The paid assessment at $99905:30 – Annie: The voice agent that conducts the 45-minute interview06:30 – Building the report in Claude Design07:06 – Six parts of the paid assessment report07:30 – The effort versus impact matrix and quick wins08:30 – Quantifying ROI: Hourly Rate × Hours Saved − Tool Cost09:29 – The 30-minute walkthrough call and the upsell moment10:00 – Pricing progression: Free to $200 to $500 to $1,00010:30 – Step Three: The AI concierge retainer11:57 – Effective hourly rate: At $1,500/month is $1,000/hour12:30 – JotForm intake as a hard requirement before call one13:30 – Framework: AOA (Audit, Optimize, Automate)14:06 – The call cadence and Voxer between sessions15:30 – The Notion Hub as a renewal mechanism16:26 – Two Claude skills that fill out Notion and draft follow-up emails in 30 seconds17:00 – Concierge pricing: $1,000 to $2,000/month, capping at six clients18:00 – À La Carte Build 1: Process optimization at $3,000 to $5,00019:30 – À La Carte Build 2: Zapier or Make automation at $1,000 to $5,00020:00 – À La Carte Build 3: Knowledge system or custom GPT at $3,00021:00 – Case Study: Business broker custom GPT that cut 400 emails to 1022:00 – À La Carte Build 4: Speed to lead agent23:36 – 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

    25 min

  3. 2 jul

    # 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/coreyganimInstagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/YouTube: https://www.youtube.com/@coreyganim

    14 min

  4. 29 jun

    # 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 upsell01:00 – Step 2: send the JotForm intake form before the first call02:17 – The tool stack and team questions03:00 – The outcomes section: what does winning look like in 90 days04:00 – No form, no call: why the intake form is non-negotiable04:36 – Step 3: the Notion hub walkthrough06:00 – Open action items and the call log07:00 – Tools and skills built on this call: the most important section08:00 – How this works section and the 12-hour Voxer SLA09:05 – Step 4: conducting the first strategy call09:30 – Track 1: onboarding clients to Claude Cowork with the plugin11:29 – Track 2: running AOA on the biggest bottleneck12:00 – AOA framework: audit, optimize, automate13:55 – Step 5: running the back-end skills in thirty seconds14:30 – AI Concierge Follow-Up Email skill15:00 – AI Concierge Call Update skill for Notion15:30 – AI Concierge Post-Call orchestrator skill16:14 – The follow-up email draft and one-click send17:00 – Less than five minutes of post-call admin work17:30 – Step 6: mind the gap, Voxer between calls18:00 – Step 7: call two and beyond, stacking the build list18:33 – Doubling the price for weekly call cadence19:00 – Step 8: earning the renewal, the ledger does the talking19:30 – 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

    21 min

  5. 25 jun

    # 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

  6. 22 jun

    # 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

  7. 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

  8. 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
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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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  • Creador
    Corey Ganim
  • Años de actividad
    2023 - 2026
  • Episodios
    179
  • Clasificación
    Explícito
  • Copyright
    © 2026 Corey Ganim
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    Build With AI

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