Build With AI

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• # 178 Don't start an AI automation agency in 2026 (do this instead) 06.07.2026 24хв

  Find the Full Excalidraw diagram AI Offer Ladder (public) — Excalidraw Plus and the assessment report template audittemplate.aiThis 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/aboutTimestamps 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 templateKey PointsThe 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.videoIf 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
• # 177 Charge $999 to audit businesses with AI 02.07.2026 13хв

  Grab the exact template I use to deliver the $999 AI audits here (free): https://corey-ganim.kit.com/fd0829de10This 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/aboutTimestamps00:00 – Intro: The real AI tools assessment template00:30 – Building the template in Claude Design and why we canceled Gamma01:00 – How to auto-fill the template by dropping in a client transcript01:30 – Slide 1: Title slide and the tweaks menu in Claude Design02:00 – Slide 2: Executive summary with primary pain point and outcome02:24 – The three levers of ROI: Effectiveness, efficiency, and quality02:50 – Slide 3: The effort versus impact matrix03:30 – Quick wins, fill-ins, major projects, and what to ignore04:44 – Slide 4: Quick wins summary with pain point to tool mapping05:30 – Slide 5: The full tool stack with cost, setup time, and time saved06:30 – Slide 6: The four-day quick wins plan07:02 – Why the four-day plan prevents implementation paralysis07:30 – Slide 7: What comes after quick wins and the major projects upsell08:30 – How to tee up the upsell on the review call09:00 – Slide 8: Financial impact and the monthly net ROI calculation09:20 – The ROI formula: Weekly Hours Returned × Hourly Rate − Tool Cost10:30 – Slide 9: Next steps and the review call booking11:00 – Three questions that close 50 percent of upsells on the review call11:43 – How to duplicate the template in Claude Design using the HTML file12:30 – Sixty seconds to a fully imported templateKey PointsThe 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.videoIf 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/coreyganimInstagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/YouTube: https://www.youtube.com/@coreyganim
• # 176 How I run an $8K/month AI business in 5 minutes a day (full breakdown) 29.06.2026 20хв

  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/aboutTimestamps 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 AcademyKey PointsThe 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.comIf 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
• # 175 How I sell AI second brains for $5K each (full blueprint) 25.06.2026 53хв

   Grab Adam's free build guide for building, packaging, and selling your first AI knowledge base: https://corey-ganim.kit.com/a49b7bd19dAdam 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/aboutTimestamps 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 guideKey PointsThe 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/@coreyganimFIND ADAM ON SOCIAL YouTube: https://www.youtube.com/@viableedge
• # 174 Building a one-person AI agent business that makes $50K/month 22.06.2026 47хв

  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=COREYI 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/aboutTimestamps00:00 – Intro and what you'll walk away with01:14 – The $5K per month per client blueprint overview01:46 – The biggest arbitrage: most businesses don't know what agents can do03:11 – The offer: unlimited tokens, agents, and infrastructure05:08 – Best industries for managed agents and how to pick a niche06:07 – Go broad first, let the market pull you into a niche08:06 – How to find clients: content, Upwork, and free work for case studies09:43 – Why your first clients should be free11:06 – Onboarding: voice recorder to workflow map to effort versus impact matrix12:32 – The audit as a foot-in-the-door offer14:49 – Steal this flow: free mini audit into paid audit into managed service16:00 – The agent stack: Hermes, Composio, and Orgo17:51 – Composio for one-click tool connections19:53 – Orgo walkthrough: spinning up workspaces and agent computers21:02 – How workspaces map to clients22:25 – The client never sees Orgo, it's your operator layer24:38 – Troubleshooting client agents from your phone26:49 – Building industry-specific productized agent apps27:59 – From audit transcript to deployed skill in ten minutes28:36 – Orgo discount code for the audience29:47 – Windows computers on Orgo: managing Codex and Claude Code for clients32:35 – Cloning agent templates for instant productization33:50 – Twenty-six second Hermes installation live on screen37:16 – The full stack: Hermes, Composio, Orgo, Agent Mail38:08 – Watchdogs: get alerted before your client notices a problem39:31 – Why being a good communicator is your biggest edge41:28 – Token cost management with Codex subscriptions41:36 – The math: ten clients equals $50K MRR at 85% margins43:04 – Why most people still won't take action45:00 – Thinking long term: the cost of intelligence is going to zeroKey PointsThe 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/@coreyganimFIND NICK ON SOCIAL X: https://x.com/nickvasilesYouTube:@nickvasilesOrgo: https://www.orgo.ai
• # 173 The $5K AI offer that costs $9 to fulfill (how to build and sell it) 18.06.2026 45хв

  LIMITED bonus from Hyperagent: First 1,000 people get $1,000 in free Hyperagent credits. Claim yours: https://www.hyperagent.com/coreyI 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/aboutTimestamps 00:00 – Intro00:43 – What HyperAgent is and the business model concept02:19 – Why this outreach wasn't possible before AI agents05:16 – The command center for managing agent-built prospects07:59 – Website before and after: Veslo Family Restaurant10:36 – How HyperAgent judges website quality on its own15:10 – Speed to quote system for a landscaping business19:53 – Why zero landscapers in your city have this yet22:55 – Pricing the offer: $5-10K setup plus monthly retainer26:14 – Live build: speed to quote for CS Automotive27:35 – Plan mode vs execute mode in HyperAgent30:39 – Running agents on a Kanban board in Airtable33:30 – Selling the agent itself as the product37:03 – Agent marketplace and the compute markup model38:05 – Live result: the CS Automotive quote tool finishes42:20 – Static artifacts as lead gen, always-on agents as the upsellKey PointsThe 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.comIf 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/@coreyganimFIND ALEX ON SOCIAL X/Twitter:  @hyperagentapp 
• # 172 8 objections you'll get selling AI services (and how to destroy them) 15.06.2026 11хв

  Grab the free cheat sheet of all eight objections plus a how-to-use-them section - https://corey-ganim.kit.com/a2e17c90d1In 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/aboutTimestamps00:00 – Intro00:14 – Objection 1: Can't I just use ChatGPT myself?01:25 – Objection 2: AI feels overhyped02:05 – Free cheat sheet of all eight objections02:33 – Objection 3: It's too expensive03:46 – Objection 4: I don't have time right now04:55 – Objection 5: I tried AI and got bad results05:40 – The effort versus impact matrix06:30 – Objection 6: My business is too specialized06:50 – The five pillars of an AI operating system07:30 – Objection 7: I don't want to replace my people09:00 – Objection 8: Let me think about it09:45 – The $999 AI assessment close10:25 – Recap and how to grab the cheat sheetKey PointsYou 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.comClaude - https://claude.aiFIND ME ON SOCIALX/Twitter: https://x.com/coreyganimInstagram: https://www.instagram.com/coreyganim/LinkedIn: https://www.linkedin.com/in/coreyganim/YouTube: https://www.youtube.com/@coreyganim
• # 171 How I convert free mini assessments into $999 AI audits 12.06.2026 9хв

  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/0cea7ca381In 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/aboutTimestamps00:00 – Intro00:14 – The lens: one bottleneck, one tool, one upsell00:30 – The three levers of ROI00:57 – Meeting one: the 15-minute fact-finding call01:25 – The forking question01:43 – The repetition question01:58 – The friction question02:10 – The ROI anchor question02:45 – The magic wand question03:35 – Closing call one and booking the follow-up03:55 – Between meetings: frequency and friction research04:43 – Meeting two: prescribing the one solution05:15 – Finding off-the-shelf tools in AI directories06:20 – Claude Cowork vs. a custom Claude skill07:08 – The three things you bring to call two07:40 – The money moment and the upsell questionKey PointsEvery 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.comFuturepedia - another AI tool directory for matching tools to client pain points - https://www.futurepedia.ioClaude Cowork - the prescription for tasks involving judgment, writing, or research - https://claude.comFIND ME ON SOCIALX/Twitter: https://x.com/coreyganimInstagram: https://www.instagram.com/coreyganim/LinkedIn: https://www.linkedin.com/in/coreyganim/YouTube: https://www.youtube.com/@coreyganimClick to enable keyboard move mode.
• # 170 Building an SEO business with Claude Code 09.06.2026 37хв

  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/aboutTimestamps00:00 – 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 RyanKey PointsRyan 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 MentionedRyan'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/@RyanDoserAIAI Marketing Insiders community — Ryan's 1,000+ member community for marketers using AI — https://www.skool.com/ai-marketing-insidersFIND 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 Skool Community: https://www.skool.com/aioperatoracademy/aboutFIND RYAN ON SOCIALYouTube: https://www.youtube.com/@RyanDoserAI Website: https://ryandoser.com/ AI Marketing Insiders: https://www.skool.com/ai-marketing-insiders
• # 169 How I'm finding all my AI services clients 05.06.2026 14хв

  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.comAI Operator Academy - https://www.skool.com/aioperatoracademy/about FIND ME ON SOCIALX/Twitter: https://x.com/coreyganimInstagram: https://www.instagram.com/coreyganim/LinkedIn: https://www.linkedin.com/in/coreyganim/YouTube: https://www.youtube.com/@coreyganim  
• # 168 How to build a $10K/month AI consulting business in 90 days (step-by-step) 02.06.2026 15хв

  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 Timestamps00:00 – Making over $1,000/hour with the AI Concierge Offer01:40 – The pre-call intake form built in Jotform03:40 – The two 45-minute done-with-you strategy calls04:30 – The AOA framework: Audit, Optimize, Automate06:00 – Voxer access and the 12-hour SLA08:00 – The Notion documentation hub walkthrough09:56 – How two Claude skills automate post-call follow-up12:15 – Pricing: from $1,000 to $2,000/month and when to raise rates14:23 – 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 SOCIALX/Twitter: https://x.com/coreyganimInstagram: https://www.instagram.com/coreyganim/LinkedIn: https://www.linkedin.com/in/coreyganim/YouTube: https://www.youtube.com/@coreyganim
• # 167 I built an AI agent finance department (full build) 27.05.2026 43хв

  I brought on Mike Dion, a senior corporate finance professional who has helped automate more than 100,000 hours of work out of finance processes, to walk through how to build a fully functional AI agent finance department inside N8n — from scratch, with no coding background required. We build a CFO agent named Charles, give him a team of specialist sub-agents (FP&A, Accounting, and Treasury), and watch the delegation logic in action as Charles routes questions to the right specialist instead of answering everything himself. Mike also breaks down how to use ChatGPT to write your own system prompts, why you should give the CFO a reasoning model while using cheaper models for the sub-agents, and how to publish the finished chat so your whole team can access it. By the end of this episode, you'll have everything you need to replicate this AI finance department in under 45 minutes. Timestamps 00:00 – Intro 00:03 – What we're building: AI CFO inside N8n 00:23 – Mike's background and 100,000 hours of automation 00:52 – Why N8n over Make, Zapier, or Power Automate 02:00 – Setting up the chat trigger and naming the CFO 05:00 – Using ChatGPT to write the CFO system prompt 08:52 – Choosing the right AI model and saving on token costs 13:27 – Building the FP&A sub-agent (and what FP&A actually does) 16:36 – Adding the Accounting agent with code interpreter 19:25 – Building the Treasury agent 33:21 – Successful routing to FP&A and Treasury agents 38:19 – Publishing the chat and embedding it in Slack, Teams, or a website 39:22 – Mike's philosophy: train your team to build, don't just build for them 41:14 – Where to find Mike and his free Finance Automation Insider newsletter Key Points Using ChatGPT to write your own N8n system prompts is one of the fastest ways to get started — nothing knows ChatGPT better than ChatGPT itself, and what would have taken six hours of writing two years ago now takes minutes. The delegation logic is non-negotiable. If the CFO answers questions directly instead of routing them to a specialist, you lose access to any tools or context you've connected to those specialist agents — and you pay more for it. N8n can run completely free on a $4–5/month virtual private server, making this entire AI finance department buildable for nearly zero cost. You don't need a paid automation platform subscription. Setting the context window to 10 (five back-and-forth interactions) is a practical default — enough for most finance questions without ballooning your API costs on every run. You can publish the finished CFO chat and embed it directly in Slack, Microsoft Teams, or a company website. Your team sees a clean chat interface — all the N8n complexity stays invisible in the background. Links: F9 Finance YouTube channel — Mike's free weekly channel covering finance automation tools and builds: https://www.youtube.com/@F9Finance F9 Finance website — corporate automation training and the free Finance Automation Insider newsletter (includes 15 five-minute finance automations you can build with tools you already have): https://f9finance.com N8n — the free, self-hostable workflow automation tool used to build the AI CFO in this episode: https://n8n.io Join the Build With AI community — weekly AI implementations, live coaching, and no-fluff templates built for non-technical entrepreneurs: https://www.skool.com/buildwithai/about 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 MIKE ON SOCIAL YouTube: https://www.youtube.com/@F9Finance Website: https://f9finance.com
• # 166 AI agent focus groups are the future of marketing 19.05.2026 50хв

  I sat down with Justin Brooke, a 20-year advertising veteran who turned a $60 Google Ads campaign into a seven-figure agency — and then built an AI-powered prediction system that has since generated $260,000 for him personally. In this episode, Justin walks through his "predictive wear" framework: a multi-agent workflow that runs your ad copy and sales pages through a synthetic focus group of 13 detailed AI personas before a single dollar is spent on ads. We break down how the workflow is built in Mind Studio, why persona quality makes or breaks accuracy, and how Harvard, Stanford, and the New York Times have all validated this exact approach. By the end of this episode, you'll understand why running your marketing through a virtual focus group before it goes out the door may be the single highest-ROI move you can make right now.Timestamps03:29 – What "predictive wear" is and why Justin built it05:00 – Why you need multiple personas, not just one08:00 – How the 13-persona focus group workflow runs09:00 – The prediction engine: picking the winning ad variation10:00 – Harvard, Stanford, and the New York Times validate the method13:15 – The ROI: $260K personally, 4 to 6X ROAS for clients19:00 – What makes a persona accurate: the 1,400-word dossier24:04 – The copywriter prompt and "embody" vs. "pretend to be"33:00 – Sales page version: PDF upload and yes/no buyer scoring41:00 – Why some personas are successful and others are struggling45:00 – A $36,000 offer launched using this exact process48:00 – Final advice: do the work on the persona qualityKey PointsThe old way of advertising is learning by spending money — you write copy, run ads, and find out if it works after the budget is gone. Justin's predictive wear system flips this by running copy through a synthetic focus group of 13 AI personas before any ad spend, so you know what will convert before you go live.Harvard, Stanford, and the New York Times have all independently validated this approach. The New York Times uses the same synthetic audience process to test headlines and found 92% accuracy compared to their human focus groups — meaning this is not a fringe experiment, it is becoming standard practice for major publishers and brands.The cost is 13 to 20 cents per run. A top 1% copywriter charges $100 to $500 per ad. Justin's workflow produces three optimized variations in about 10 minutes for 13 cents, performs at or near the level of the best human copywriters for most use cases, and allows unlimited iteration — you run it until the copy converts.The system is also a copywriting trainer. Even with 20 years of experience, Justin says the feedback regularly surfaces blind spots and teaches him better approaches.Anyone can use this, not just expert copywriters. Because the workflow takes whatever you input — even a bad ad — and improves it based on real persona feedback, non-copywriters like a front-desk employee or a local business owner can now produce top-10% ad copy without prior training.Join the Build With AI community built for non-technical entrepreneurs: https://www.skool.com/buildwithai/aboutIf 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/coreyganimInstagram: https://www.instagram.com/coreyganim/LinkedIn: https://www.linkedin.com/in/coreyganim/YouTube: https://www.youtube.com/@coreyganimFIND JUSTIN ON SOCIALhttps://x.com/IMJustinBrookeWebsite: https://adskills.com
• # 165 I BLEW UP Instagram With AI Content (4M Views in 30 Days) 15.05.2026 32хв

  I sat down with Nick Puru to break down the exact Claude Code setup he used to pull 4 million views and ~6,000 newsletter signups in the last 30-45 days for his AI consultancy. Nick walks through his short-form content factory inside Claude Code — the CLAUDE.md "brain," his ICP file (an avatar he calls Patrick), his foundations doc full of algorithm lessons like "negativity always wins," and the three skills he uses to write captions, generate scripts, and review them. We get into how he tests three hooks per video with Instagram trial reels, the humanizer skill from Bader on GitHub that strips out AI tells like em-dashes and "it's not X, it's Y," and why he treats every Claude project like onboarding a new employee. By the end of this episode, you'll have a clear blueprint for building your own short-form content system in Claude Code — starting from a single CLAUDE.md file and expanding from there. Timestamps 00:00 – Intro 00:37 – 4 million views in 30 days 01:53 – Reels to ManyChat to newsletter funnel 03:31 – Tour of the Claude Code folder structure 05:02 – How the write script command works 06:29 – Why human-in-the-loop matters for content 07:38 – Inside the CLAUDE.md brain file 08:11 – Meet Patrick, Nick's ICP avatar 10:04 – Foundations file and "negativity always wins" 13:43 – Live generating a Claude Cowork script 15:44 – Testing three hooks with Instagram trial reels 18:48 – Most bare-bones version to start with 22:36 – Why ICP and brand voice are foundational 24:28 – The humanizer skill from Bader on GitHub 27:01 – Treating AI like a new employee 29:35 – Context beats prompting in 2026 31:13 – Where to find Nick Key Points Nick's short-form system drove ~4M views in 30 days and ~6,000 newsletter signups in 45 days for his AI consultancy — every video CTA pushes a lead magnet via a ManyChat flow that collects emails and hands off to an appointment setter. The whole system lives inside Claude Code as three skills: one writes scripts, one reviews them against a quality checklist, and one generates captions. Trigger them by typing things like "write script" in the terminal. The CLAUDE.md file is the brain. It holds the output format, writing rules, key principles, and a pointer to an ICP file built around an avatar named Patrick — a small-to-mid market business owner ($few hundred K to $15M, 2-50 staff) who has tried ChatGPT once or twice but doesn't know Claude Code. One of Nick's foundations is "negativity always wins" — the algorithm rewards a stronger emotional charge, but he warns against using it on every video or audiences pick up on it. He calls it in only when the angle fits. He tests three different hooks on the same body and CTA using Instagram trial reels, treats it like A/B testing titles and thumbnails on YouTube, and feeds the winners back into the system as analytics context. To kill AI tells like em-dashes, bullet points, and "it's not X, it's Y," Nick runs scripts through Bader's humanizer skill from GitHub. Corey adds a similar instruction in his agents.md to never use dashes. Treat Claude like a new employee, not a magic box. You wouldn't expect a hire to crush it on day one — you'd give them SOPs, business context, your website, and an ICP. Same playbook for building any Claude project, whether it's short-form, long-form, or LinkedIn posts. Bader's humanizer skill on GitHub - https://github.com/bader-research ManyChat for Instagram DM automation - https://manychat.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 YouTube: https://www.youtube.com/@nickpuru X: https://x.com/nickpuru LinkedIn: https://www.linkedin.com/in/nicholas-puruczky-113818198/
• # 164 How I Built an AI Voice Agent With Claude + Voiceflow (Zero Code) 12.05.2026 59хв

  Build your voice agent in 10 minutes (No code required) https://corey-ganim.kit.com/18da152cf4 In this episode, I sat down with Susan Westwater, co-founder of Pragmatic Digital and a conversational AI veteran since 2017, to build a working voice agent in Voiceflow live, with zero code. Susan walks through her exact prompt template for an appointment-scheduling agent, explains the difference between in-the-loop, on-the-loop, and fully autonomous agents, and shows how to separate your agent instructions from your knowledge base so you can update facts without breaking the whole build. We test the agent live (it called her cell phone mid-episode), connect it to a Google Sheet to capture customer intake, and talk about competitors like VAPI, ElevenLabs, and Voiceify. By the end, you'll have the exact playbook (and the template Susan is giving away) to spin up your own MVP voice agent in under an hour. Timestamps 03:42 – Inside Voiceflow and what makes it different 04:23 – Chatbot vs voice agent: listen, decide, act 05:30 – In the loop vs on the loop vs fully autonomous 09:09 – The system prompt: identity, purpose, and boundaries 11:54 – Voice, persona, and speech sculpting 13:22 – Separating agent instructions from knowledge base 17:14 – Stopping the agent from troubleshooting electrical issues 20:31 – Rules for collecting info one question at a time 23:21 – Pasting the prompt and one-shotting the build 26:34 – Voiceflow competitors: VAPI, ElevenLabs, Voiceify 30:22 – Connecting tools at each conversation step 33:13 – Why faster builds give up control 38:21 – Adding the knowledge base as a Word doc 43:13 – Sending customer intake to a Google Sheet 45:57 – Live phone call with the voice agent 50:09 – Branching, exit conditions, and iteration 54:52 – Custom voices, ElevenLabs integration, and voice security Key Points Keep two documents separate: agent instructions (how the agent behaves, its identity, persona, escalation rules) and knowledge base (the facts about your business). If pricing or hours change, you update one cell in your knowledge base instead of digging through a giant system prompt. The strength of a Voiceflow build lives in the prompt. Susan pastes her full instructions doc into the new project prompt and Voiceflow generates the entire conversation flow — greeting, qualification, intake, confirmation, escalation — with no coding. Be explicit about what the agent does NOT do. LLMs are trying to "win the game" (Susan's War Games analogy), so if you don't tell the electrical-appointment bot "do not troubleshoot," it will try to problem-solve its way out of every conversation. Collect intake one question at a time, use explicit confirmation on critical fields like callback numbers, and tell the agent to be empathetic but not apologetic — nobody wants a bot that says "I'm sorry" five times instead of solving the problem. Voiceflow — https://www.voiceflow.com Pragmatic Digital — Susan's agency helping brands operationalize conversational AI and applied AI for CX - https://www.pragmatic.digital VAPI — alternative voice agent platform - https://vapi.ai ElevenLabs - https://elevenlabs.io Voiceify — centralized library for chatbot, voice agent, and telephone deployments across web and mobile - https://voicify.com/ Twilio — phone number and telephony layer for connecting Voiceflow agents to real phone calls - https://www.twilio.com Make.com — automation platform that can connect to Voiceflow as a tool integration - https://www.make.com Robert Scoble on X https://x.com/Scobleizer Brian Roemmele on X https://x.com/BrianRoemmele 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 SUSAN ON SOCIAL X: https://x.com/sjw75 Website: https://www.pragmatic.digital
• # 163 I Built the ULTIMATE AI Second Brain (Karpathy's LLM Wiki Setup Guide) 08.05.2026 18хв

  🔗 Deploy your own Hermes agent on Hostinger -10% off any plan with code COREY10: http://hostinger.com/corey10 (use code COREY10)Grab the free step-by-step Hermes Second Brain setup guide here: https://corey-ganim.kit.com/60fc0fe6d9In this solo episode, I walk through exactly how I built the ultimate AI second brain using Hermes and its built-in LLM Wiki skill — inspired by Karpathy's wiki setup. I break down the three core operations of the Hermes agent (ingest, query, lint), the three layers of the knowledge base (raw sources, the wiki, schema/tags), and why I chose Hermes over Claude Code, OpenClaw, or Obsidian for this build. From there, I show the full one-click deploy on a Hostinger VPS, the OpenAI model setup, the Telegram bot integration via BotFather, and the Markdownload Chrome extension trick I use to feed any tweet, article, or webpage straight into the wiki. By the end of this episode, you'll have a clear, step-by-step path to deploy your own self-improving second brain that gets smarter the more you use it.Key PointsHermes ships with a built-in LLM Wiki skill that handles the second brain function out of the box — your job is to curate sources, the agent's job is to summarize, tag, and file them away.The knowledge base has exactly three layers: raw sources you give it (read-only), the agent-owned wiki of markdown files, and the schema/tags Hermes builds to make querying low-friction.Run the Lint command roughly once a month — it audits your wiki for contradictions, sources older than 90 days, and oversized files that should be split for more accurate retrieval.Deploy on a Hostinger VPS instead of locally — it's a one-click install with no terminal, cheaper than a Mac mini, always-on, and your data stays private.The simplest workflow for feeding the wiki: use the Markdownload Chrome extension to clip any tweet, article, or webpage to markdown, drag it into your Telegram chat with Hermes, and tell it to add it to the wiki.This is a compounding asset — on day 1 the knowledge base is the dumbest it'll ever be, but feed it consistently and by day 90 it becomes incredibly useful for retrieval.Hermes agent VPS deployment on Hostinger (use code COREY10 for 10% off) - https://www.hostinger.com/vps/hermes-agent-hostingMarkdownload Chrome extension - https://chromewebstore.google.com/detail/markdownload-markdown-web/pcmpcfapbekmbjjkdalcgopdkipoggdiTelegram BotFather - https://t.me/BotFatherOpenAI Codex - https://openai.com/codexFIND 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
• # 162 Cracking the X algorithm with Claude Code 05.05.2026 57хв

  Tom Crawshaw (8+ years in automations, $25M+ in attributed e-com revenue) cracks open the content system that's pulled him millions of views. We walk through the Claude Code skill he built that handles voice profile, copywriting principles, hook scoring, image prompts, and a humanizer pass from one slash command. He also surfaces a hidden Claude Code feature called /insights that audits your full usage history and tells you what to build next. You'll learn how to turn messy ChatGPT workflows into a real skill, why Whisperflow is non-negotiable, and the one slash command 99% of Claude Code users are sleeping on.Timestamps00:00 Intro00:30 Tom's automation background03:30 Skills vs. Projects on context08:30 Auto-updating voice profile from X11:00 Nano Banana plus Canva workflow23:30 Live demo: a Whisperflow post34:30 Hook scoring with copywriting principles46:30 The hidden /insights command54:30 Skills vs. n8n vs. LovableKey PointsSkills beat Claude Projects on context. Projects load every reference file on every message. A skill works like a book: Claude pulls only the chapter it needs, so a full pipeline runs in one chat.Tom's skill auto-updates his voice profile weekly. The X API pulls his last 7 days of posts, ranks by engagement, and rewrites the profile so the skill keeps drifting toward what's working./insights is the most slept-on feature in Claude Code. It audits your full session history and hands back a real report: what's working, where you're breaking your own rules, skills to build, and prompts to run.Image gen is 80% Nano Banana, 20% Canva. Generate fast in the AI tool, then finish in Canva with magic grab and magic erase.Whisperflow changed how Tom and Corey think, not just type. Speaking forces tighter thinking and makes prompts richer because adding context costs almost nothing.LinksClaude Code: https://www.anthropic.com/claude-codeWhisperflow: https://wisprflow.ai/Nano Banana: https://gemini.google.com/Canva: https://www.canva.com/n8n: https://n8n.io/Tom's site: https://learnn8nautomation.com/Build With AI: https://www.skool.com/buildwithai/aboutFIND ME ON SOCIALX: https://x.com/coreyganimInstagram: https://www.instagram.com/coreyganim/LinkedIn: https://www.linkedin.com/in/coreyganim/YouTube: https://www.youtube.com/@coreyganimTOM ON SOCIALX: https://x.com/TomCrawshaw01YouTube: https://www.youtube.com/@TheAIGrowthLabWebsite: https://learnn8nautomation.com/
• # 161 How I'm AI-maxxing boomer businesses to make f*ck you money 29.04.2026 36хв

  Free audit template Corey is giving away — https://audittemplate.ai In this episode, I sat down with Chris Koerner and outlined how I sell AI assessments to small businesses. Timestamps 00:00 – Intro 00:33 – The $1,000 AI audit pitch 01:10 – The lunch conversation that started it all 02:23 – Why 99 out of 100 owners need this 02:57 – Why Loom screen recording failed 04:25 – From Zoom calls to a voice agent 05:31 – Meet Annie, the AI interviewer 06:17 – Live demo of the voice agent 08:06 – How the voice agent was built (Retell + skills) 10:18 – Walking through a real assessment in Gamma 12:00 – The effort vs impact matrix 13:00 – Wedding venue saves 8 hours with Dash This 15:16 – Pricing journey: free to $1,000 17:30 – Why charging more makes upsells easier 18:02 – The full upsell menu breakdown 22:00 – Custom GPT knowledge system for a business broker 24:46 – Which industries this works best for 25:53 – Seven ways to find clients with no followers 26:39 – Hosting a local AI meetup 27:30 – Door-knocking businesses in 2026 29:25 – Using free audits to land warm contacts 30:30 – Running free AI office hours 31:30 – Hard-won lessons and the speed-to-lead upsell 34:36 – The simple Claude prompt that builds the audit 35:33 – Where to find Corey Key Points The business started from one lunch where a friend said he'd pay $1,000 just to be followed around for a day. After validating with 50–100 owners, Corey found 99 out of 100 small business owners need this — they just don't know which AI tools to use. The upsell menu is built into the report. Common follow-ons: process optimization ($3K–$5K), Zapier or Make automation builds ($1K–$3K), custom GPT knowledge systems, CRM setups (high-level CRM at $3K–$5K), and speed-to-lead AI agents tied directly to revenue. The seven-way client acquisition playbook works with zero followers: host a local AI meetup on Luma or Meetup.com, door-knock local businesses, run free audits for your network, host free AI office hours at coworking spaces or realtor offices, partner with well-connected locals, and lean on warm intros from your CEO peer group. You don't need to be an AI expert. As Corey puts it, you just need to be one step ahead of your average client — which is about seven days of studying. The realtor's office where he hosted his free AI meetup turned into paying assessment work. The Claude prompt to generate an audit is dead simple: attach the transcript, tell Claude to find off-the-shelf tools that fix the pain points, and point it at directories like Futurepedia or There's An AI For That. 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
• # 160 EASY Claude Cowork Setup (full beginner tutorial) 23.04.2026 26хв

  In this solo episode, I walk through the exact process of setting up Claude Cowork from scratch — the right way — using the free Cowork Onboarding plugin I built and made open source. I go step by step through the full onboarding flow, from picking your workspace folder and connecting tools, to building three core context files (About Me, Brand Voice, and Working Style), generating global instructions that tie everything together, setting up scheduled tasks like a daily morning briefing and quarterly context review, and running an optional security review to lock in sensible rules.Timestamps00:00 – Why Cowork is useless out of the box02:22 – Starting the onboarding flow from scratch03:30 – Choosing workspace folder and onboarding path04:37 – Workspace structure and file access permissions05:45 – Connecting Google Workspace tools (Gmail, Drive, Calendar)06:56 – Building context files: About Me, Brand Voice, Working Style10:58 – Linking existing brand materials from Google Drive12:44 – Generating global instructions from your context files15:00 – Skills and plugin recommendations from the marketplace17:24 – Setting up scheduled tasks: morning briefing and quarterly review19:46 – Running the optional security review23:23 – Wrapping up: what we built and the two manual steps leftKey PointsMost people skip the onboarding and then wonder why Cowork feels generic. The entire point of setting it up properly — building context files and global instructions — is so Claude never has to ask who you are again. Every session loads with that context automatically.The three context files (About Me, Brand Voice, Working Style) are the foundation of the whole setup. Without them, Cowork is writing responses for a stranger. With them, it knows your business, how you communicate, and how you like your deliverables structured.Global instructions are the piece most people miss. Once you paste your generated global instructions into Cowork's settings, every single session loads that context from the start — no repeating yourself, no re-explaining your preferences.Links MentionedFree Cowork Onboarding plugin — download it to run the full guided setup described in this episode: https://return-my-time.kit.com/f00d78554cBuild with AI community — get the full onboarding plugin including the self-assessment, workflow audit, and custom skill blueprints tailored to your business: https://www.skool.com/buildwithai/aboutWisprFlow — the talk-to-text tool used during the onboarding to answer Claude's questions faster: https://wisprflow.aiFind Me on SocialX/Twitter: https://x.com/coreyganimInstagram: https://www.instagram.com/coreyganim/LinkedIn: https://www.linkedin.com/in/coreyganim/YouTube: https://www.youtube.com/@coreyganim
• # 159 Build STUNNING Websites with Claude Code + Google Stitch (full walkthrough) 17.04.2026 1год 5хв

  I sit down with Leon van Zyl, who ran a web design company for 10 years and now teaches over 700 people how to build real applications with coding agents. We walk through his exact workflow for building professional, client-ready websites using Google Stitch for the design system and Claude Code for the build — no coding skills required. Leon shows the difference between a one-shot AI-generated site and what you get when you front-load the design system before touching code. By the end, you'll have a repeatable workflow for going from design concept to finished website — including custom AI images that match your brand.Links Mentioned:Google Stitch: https://stitch.withgoogle.comClaude Code: https://docs.anthropic.com/en/docs/claude-codeCursor: https://www.cursor.comNext.js: https://nextjs.orgStitch MCP Server Docs: https://stitch.withgoogle.com/docs/mcpStitch Skills: https://stitch.withgoogle.com/docs/skillsTimestamps00:00 – Intro00:06 – What you'll learn: design systems for client-ready websites02:04 – Jumping into the screen share02:25 – The problem: one-shot AI websites look terrible03:52 – The Stitch workflow result: side-by-side comparison07:32 – Starting from a vanilla Next.js project08:50 – What is Google Stitch and how to get started10:00 – Prompting Stitch with brand details, fonts, and colors13:00 – Why design systems matter for coding agents16:00 – Iterating on the homepage before building more pages17:44 – Sharing Stitch designs with clients for approval21:23 – Setting up the Stitch MCP server in Claude Code23:18 – What an MCP server actually is (simple explanation)25:56 – Pulling the design system into your project28:47 – Memory files: Claude.md vs Agents.md explained33:24 – Converting the Stitch design into a working website35:06 – Installing the Stitch React Components skill41:11 – When to use this workflow: client work vs personal projects44:27 – Viewing the finished website vs the Stitch mockup48:27 – Downloading and converting images to WebP for performance53:46 – Generating custom AI images with Nano Banana Pro58:14 – Final result with branded AI-generated hero image01:00:48 – Key takeaways and wrap-upFIND ME ON SOCIALX/Twitter: https://x.com/coreyganimInstagram: https://www.instagram.com/coreyganim/LinkedIn: https://www.linkedin.com/in/coreyganim/FIND LEON ON SOCIALYouTube: https://www.youtube.com/@leonvanzyl