Build With AI

Corey Ganim
  • 0.0 (0)
  • Emprendimiento
  • Cada semana

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 16 h

    How to Sign Your First AI Client (Zero Content or Cold Outreach)

    Grab the exact step-by-step plan to land local AI clients in 30 days: https://link.excalidraw.com/l/4z8Z2Lyybfg/2pMiTnq0qvf In this solo episode, I break down the highest-ROI play I've found for landing AI clients without posting content or sending a single cold email: hosting a monthly AI for Business meetup in your own city. I walk through how I built mine in Charlotte from 25-30 people at the first event to a partnership that's set to bring 50+ to the next one, and exactly how the meetup feeds into the two offers that actually make money, the $999 AI Tools Assessment and the $1,000-$2,000/month AI Concierge retainer. I share the free Claude prompt I used to build the entire event structure and marketing plan, the exact Facebook group script that gets you 10-15 signups, and the three biggest mistakes that kill this strategy before it compounds. By the end of this episode, you'll have a step-by-step plan to fill a room with local clients in the next 30 days. Join our AI Operator Academy Community where we help entrepreneurs start and scale a profitable AI services business: https://www.skool.com/aioperatoracademy/about Timestamps  00:00 - Intro: the AI for Business meetup opportunity 00:45 - What the meetup is and why it beats content or cold outreach 01:45 - The two ways clients come from this event 02:45 - Why non-technical local business owners are your ideal client 03:45 - The opportunity: everyone else is hiding behind a screen 05:15 - The offer stack: meetup as the front door 06:15 - The AI Tools Assessment explained ($999, 45 minutes) 07:15 - The AI Concierge retainer and AI Operator Academy 09:00 - The free Claude prompt that builds your whole event 10:15 - Pricing and margins on the assessment and concierge 11:45 - Step-by-step plan to fill your first meetup 13:45 - The hack: partnering with a local Facebook group owner 15:15 - How to close the room with a simple CTA 16:45 - Three pitfalls that kill this strategy (and the fixes) 19:00 - Your next step and how to join AI Operator Academy Key Points Hosting a free monthly AI for Business meetup at a local co-working space generates clients, referrals, partnerships, and speaking opportunities without any content creation or cold outreach. Clients come from this event in two ways: ideal clients who attend and want to buy, and other AI-niche people at the event who refer you business from their own networks, often more of the latter than the former. The meetup is the front door, not the offer. The real revenue comes from two back-end products: a $999 AI Tools Assessment (a 45-minute conversation that produces a report of three to seven off-the-shelf AI tools to reclaim 5-10 hours a week) and an AI Concierge retainer at $1,000-$2,000/month for done-with-you implementation. The math works out to roughly $500/hour on the assessment and $667-$1,333/hour on concierge work, meaning two assessments and one concierge client from a single meetup can mean $3,000-$4,000 in one evening. In-person trust compounds faster than digital trust. You can build more rapport in 30 seconds face-to-face than in six months of content or cold DMs, and most local business owners don't trust internet "experts" they've never shaken hands with. Partnering with the owner of a large local Facebook group as a co-host is the single biggest lever for turnout. Approaching a group owner with a done-for-you pitch (you bring the expertise, they bring their audience) can multiply attendance from 12-30 people to 50+. The three biggest ways this strategy fails: low turnout at event one (fix: co-host with a group owner and post in 5+ Facebook groups, not one), pitching too hard (fix: teach for 15-20 minutes before a soft 30-60 second CTA), and quitting after one event instead of locking a recurring monthly date so referrals can compound. 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

  2. hace 4 días

    I asked Codex to make me as much money as possible

    In this solo episode, I fire up Codex's voice mode with zero plan and challenge it to build me a real business from scratch in under 30 minutes, an idea to offer to a list of leads I could walk in and pitch today. I talk Codex through five AI service business ideas, land on a "local lead and reputation engine" for service businesses, and have it apply Alex Hormozi's $100 Million Offers framework to turn it into something a business owner would feel stupid saying no to. From there I built a live website using Codex Sites and went to find 10 real local businesses near me in Charlotte, with no digital presence, sorted by walking distance so I could hit all 10 in an hour. By the end of this episode, you'll see exactly how I went from nothing to a working offer, a website, and a prioritized prospect list, without touching my keyboard once. 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 - Setting the challenge: idea to offer to leads in 30 minutes 01:30 - Brainstorming five AI service business ideas with Codex 03:00 - Landing on appointment recovery plus review growth 05:00 - Applying Hormozy's $100 Million Offers framework 07:30 - Building the actual offer and pricing structure 09:30 - Crafting the one-liner pitch for walking in cold 11:00 - Choosing the tech stack: why GoHighLevel wins 13:00 - Working around businesses that already have a CRM 15:30 - Building a live website with Codex Sites in three minutes 18:00 - Walking through the finished Signal Local website 21:00 - Setting lead criteria: good reviews, poor digital presence 23:00 - Codex researches and ranks 10 local leads by proximity 25:00 - Reviewing King Auto Repair and Plaza Tire and Auto 27:00 - Why this is a no-brainer offer for mom-and-pop businesses 28:30 - Doing it all hands-free, even from your phone 29:30 - Join AI Operator Academy Key Points I never typed a single word. The entire idea, offer, website, and lead list were built through a live voice conversation with Codex, which means this same process works while driving, walking, or doing anything else. The strongest offer bundled two services into one: instant replies and follow-up texts for missed calls (speed to lead) plus automated, personalized review requests after every completed job. I had Codex run that combo through the $100 Million Offers framework to make it irresistible. GoHighLevel was the pick for the tech stack because it can either run standalone or sit alongside a business's existing CRM, and a huge number of local businesses, even established ones, aren't using a CRM at all. That gap is the lowest-hanging fruit. Codex Sites built a full one-to-two-page website with a logo, headline, value prop, and a working "book a consultation" button in about three minutes. Four years ago, that same site would have cost around $5,000 and taken three weeks. For lead-finding, the filter that matters isn't industry, it's digital presence. Good Google reviews plus no website (or a Google Business page that just links to Facebook) is the signal of a mom-and-pop shop that's leaving money on the table. Codex sorted the 10 leads by proximity to my neighborhood so I could walk the route in order instead of driving across town, and it added direct links to each business's Google Business page so I could pull them up instantly from my phone. Real example: King Auto Repair has a 4.5-star rating with 251 reviews and unanswered one-star complaints, but no website and no way to book online. The only way to do business with them is to show up or hope someone answers the phone. That's the entire opportunity in one business. 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

  3. hace 6 días

    How to make $10K/month selling AI services (step by step)

    In this solo episode, I walk through the exact three-stage roadmap I used to build my AI services business past $10K a month in under a year: the free mini assessment, the paid assessment, and the AI concierge model. I break down what each stage actually looks like on a call, how to price them (including the exact math that gets you to 10K/month), and the three biggest ways this business breaks if you're not careful. I also hand you my AOA framework - Audit, Optimize, Automate - which is literally how I turn a client's manual process into a Claude skill during every concierge engagement. By the end of this episode, you'll have the full playbook for landing your first AI services client and scaling to recurring revenue. Grab all the free resources mentioned in this video: https://corey-ganim.kit.com/6a4bf70e48 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 Overview of the three-stage roadmap to 10K/month 01:15 Stage 1: What a free mini assessment actually is 03:00 Stage 2: The paid assessment (3-7 tools vs. 1) 04:30 Stage 3: The AI concierge recurring revenue model 06:00 The AOA framework: Audit, Optimize, Automate 07:00 Why unlimited Voxer access is high perceived value 07:45 The math: How many clients you need to hit 10K/month 09:00 Who to sell this to (ideal client profile) 10:00 Action step: Text 10 business owners today 11:00 Three ways this business breaks (and how to avoid them) 12:00 How the free assessment call actually runs 14:00 How the paid assessment works and quantifying ROI 17:30 How AI concierge calls run using the AOA framework 19:30 Pricing strategy: Raise by $250 every time you get a yes 20:30 Recap and where to get the free resource library Key Points The business runs in three stages: a free mini assessment to get testimonials, a paid assessment ($500-$2,000) to prove deeper value, and AI concierge (done-with-you consulting) for recurring revenue. The free mini assessment is intentionally small: a 15-minute call to identify one pain point, followed by a 5-10 minute call to prescribe one tool or workflow. No implementation, no building — just a roadmap. Only do this for your first one to three contacts to earn testimonials. The paid assessment is "the free assessment on steroids" — a 45-60 minute discovery call that surfaces 3-7 opportunities, scored on an effort-versus-impact matrix to find the high-impact, low-effort quick wins. Priced at $500 to start, with $1,000 as the sweet spot and $2,000 as the ceiling once you have proof. AI concierge is where the real money is: two 45-minute strategy calls a month plus unlimited Voxer access, priced $1,000-$2,000/month, using the AOA framework (Audit the manual process, Optimize it, Automate it into a Claude skill inside Claude Cowork). The math to 10K/month: 10 AI concierge clients at $1,000/month, 7 at $1,430/month, or 5 at $2,000/month — all before counting a dime of assessment revenue. The best clients are owner-led service businesses doing $3-10M+ in revenue with repetitive manual work, visible bottlenecks, and budget — they already know they need AI, they just don't know where to start. The three ways this breaks: doing free implementation work instead of stopping at the roadmap, letting concierge calls turn into unlimited ad hoc Zoom sessions instead of a fixed cadence, and building a custom tool stack for every client instead of standardizing on Claude Cowork and Claude skills. Raise your price by $250 every time a prospect says yes — if someone pays $1,000, pitch the next person $1,250, and keep climbing until people start saying no. SaneBox – the AI email triage tool most commonly prescribed during assessments to cut hours of inbox time - https://www.sanebox.com AI Tools Assessment Report template – the free consulting-style report template used to deliver paid assessment roadmaps - https://audittemplate.ai Voxer – the walkie-talkie app used to offer unlimited AI concierge access with a 12-business-hour response window - https://voxer.com Claude Cowork – the tool used to build and standardize Claude skills for every AI concierge client - 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

  4. 10 ago

    This hidden Codex feature PRINTS cash (no one is doing this)

    In this solo episode, I break down a hidden Codex feature most people are sleeping on and show you exactly how to turn it into a client-getting machine. I walk through the entire offer from scratch: how to target local service businesses with bad or missing websites, how to use Codex Sites to build them a free homepage preview in under two minutes, and how to turn that free preview into a paid website, a monthly care plan, and eventually an AI assessment and managed AI services retainer. Then I open up Codex live, off the hip, and build a real homepage for an actual Charlotte pressure washing company using voice mode, find their broken quote form, fix it, and generate outreach templates to contact the owner directly. By the end of this episode, you'll have a full repeatable playbook you can run on literally any local service business in your area. 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 to the Hidden Codex Feature00:45 - Picking the Target: Local Service Businesses to Go After02:15 - Building the Free Codex Sites Homepage Preview03:45 - Pitching the 2-Minute Loom Walkthrough04:30 - Pricing the Full Paid Website Build05:15 - The $99–$299/Month Care Plan Upsell06:00 - Uncovering Speed to Lead & Follow-Up Problems07:30 - Selling the $1,000 Paid AI Assessment08:45 - 3 Pitfalls: What NOT to Do When Pitching10:30 - Live Demo: Talking to Codex in Voice Mode12:00 - Finding a Local Business & Building the Site14:30 - First Look at the AI-Generated Homepage Draft16:00 - Comparing It to the Real (Broken) Website18:00 - The Audit: Uncovering a Broken Quote Form20:00 - Iterating Live: Fixing Logo, Layout & Quote Form24:00 - Testing the New Speed to Quote Form27:30 - Finding the Owner's Contact Info & Socials30:00 - Drafting Outreach Email, Text & Cold Call Script33:00 - How to Attach the New Site to the Client's Domain35:00 - Wrap-Up & AI Operator Academy Invite Key Points The best prospects for this offer are mom-and-pop local service businesses selling a higher-ticket service (tree services, roofers, HVAC, commercial pressure washing) that have great Google reviews but a weak or missing website, and where you can reach the owner directly by phone. Codex Sites lets you build a fully custom, hosted homepage in minutes using nothing but voice chat, using only verified public information about the business so you're not misrepresenting them to a prospect. The free homepage preview is a foot-in-the-door offer, not the moneymaker. The real path is: free preview to paid website ($500–$1,000) to a $99–$299/month care plan to a $1,000 paid AI assessment to ongoing managed AI services that can run $1,000–$2,000+ a month. Never let Codex invent facts about a business, never promise traffic you can't control (sell trust instead), and never upsell before you've actually delivered — those are the three fastest ways to torch your credibility with a cold prospect. In the live demo, Codex found a real Charlotte pressure washing company, built a homepage with a working speed-to-quote form in about five minutes, and the form actually generated a real quote range ($975 to $3,225) and let the user text themselves the estimate — instantly beating the business's real website, whose quote form was completely broken. Codex can research the business owner's contact info, LinkedIn, and social channels, then draft a full outreach sequence (email, text, cold call script, DM script) for you, giving you seven-plus ways to get in front of a decision-maker without writing a single word yourself. If a prospect worries about the technical side of attaching a new website to their existing domain, the answer is the same as everything else in this workflow: ask Codex to handle it. It's turnkey and can be bundled into the price you charge for the build. 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

  5. 7 ago

    How to make f*ck you money SEOmaxxing boomer businesses

    Find the exact 10-page prompt I used to build this app here: Steal the prompt I used to build the SEO machine in Letaido All Ahrefs customers get 1 month of Letaido for free. Sign up for Ahrefs here: https://ahrefs.com/  Right now there's a massive opportunity in AI that most companies have no idea how to solve: they don't know how to show up in AI search results. In this solo episode, I walk through how to build a standalone app inside Latito (Ahrefs' new agentic tool) that finds exactly where your competitors are getting cited by ChatGPT, Gemini, and Perplexity while you're invisible, then writes, previews, and one-click publishes content to close that gap. I show the whole build end to end, from the exact prompt I used to generate the app, to pulling live opportunity data on real competitor sites, to publishing a finished article straight to my website. By the end of this episode, you'll have a repeatable system you can turn around and sell to local and mid-size businesses as an AI visibility audit, a content service, or a full monthly retainer. Join our AI Operator Academy Community where we help entrepreneurs start and scale a profitable AI services business: https://www.skool.com/aioperatoracademy/about Timestamps 00:00 - Why AI Search Visibility Is the Opportunity Right Now01:30 - Introducing Latito: Ahrefs' Agentic SEO/GEO Tool02:30 - The Exact Prompt Used to One-Shot the App Build04:00 - Setting Up Brand, Competitors & Target Platforms06:30 - Finding Opportunities: 47 AI Answers Analyzed in Seconds08:00 - Breaking Down the Top Opportunity ("What is Poppy AI for?")10:30 - How a Competitor's Article Is Winning AI Citations12:00 - Generating a Competing Article Automatically14:30 - Why AI Search Rewards Numbered Lists, Tables & FAQs16:00 - Previewing the Article Before Going Live18:00 - Turning Off Test Mode & Publishing to the Live Site20:00 - Tracking Daily AI Citation Performance Over Time21:30 - 4 Ways to Monetize This as a Service Key Points Traditional SEO has shifted into GEO/AEO (generative/AI engine optimization) — the game now is getting cited inside AI answers on ChatGPT, Gemini, Perplexity, and Copilot, not just ranking on a Google results page. The Latito app connects directly to Ahrefs' data to scan AI answers across all platforms, flag which competitors are getting cited, and surface content gaps as concrete "opportunities" ranked by how winnable they are. In one demo run against two real competitor sites, the app pulled 47 AI answers, found 47 answers where the brand was missing, and narrowed that down to 5 final content opportunities worth acting on. The app doesn't just diagnose the gap — it writes a full article (with meta description and URL slug), validates its own draft for quality, and lets you preview it live on your actual site before anything goes public. AI citation engines consistently favor a specific content structure: numbered lists, comparison tables, and FAQ sections at the end are what get pulled into AI answers, and the generated article included all three by default. Publishing is deliberately friction-heavy for safety — you have to verify facts and sources, then type PUBLISH in all caps before anything pushes live to the site via GitHub/Vercel. Once published, the app tracks daily whether your brand is mentioned, whether your page is cited, and your AI share of voice against competitors — the exact data needed to sell this as an ongoing retainer with a monthly ROI report. Latito - the agentic SEO/GEO tool from the makers of Ahrefs used to build this app - https://www.letito.app FIND ME ON SOCIAL X/Twitter: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/  LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim

  6. 6 ago

    7 AI services boomer businesses are BEGGING for

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

  7. 3 ago

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

    If you use BOTH the following link and code COREY, you'll get your first 3 days of Orgo free, then 20% off your first 3 months: https://www.orgo.ai/?r=COREY I sat down with Phil Goodwin, a completely non-technical designer who sold his last business this past November and, just months later, built a managed AI agent business he now runs under the name Sidecar. Phil walks through his exact stack, how he prices setup fees and monthly per-agent retainers, and the "guinea pig" pitch he used to land his very first paying clients without a following or an email list. We get into real client use cases (a one-man directional drilling company, a short-form video editor), the group-chat trick he uses so clients actually learn to talk to their agent, and a dead-simple weekly value tracker that quantifies exactly why a client should keep paying every month. By the end of this episode, you'll have a working blueprint for pricing, pitching, and delivering a managed agent offer even if you've never written a line of code. Join our AI Operator Academy Community where we help entrepreneurs start and scale a profitable AI services business: https://www.skool.com/aioperatoracademy/about Timestamps 00:00 - Intro: The Promise of This Episode 00:41 - Phil's Non-Technical, Design-First Background 02:43 - What "Managed Agents" Actually Means 04:14 - Coaching Plus AI Employee, Not Plug-and-Play 05:31 - How Phil Built Agents for Himself, Then Friends 08:23 - Setup Fee Plus Per-Agent Pricing Model Explained 09:55 - Why "We Fix It Before You Notice" Is the Real Value Prop 11:53 - Real Client Use Cases Across Industries 12:30 - Drilling Company Client and the Telegram Group Chat Trick 15:21 - The Value Ledger: Tracking Hours and Dollars Saved Weekly 17:00 - Short-Form Video Editing Use Case 18:41 - Give Agents a Human-Readable Source of Truth, Not Just Markdown 19:53 - Finding First Clients Through Friends and Referrals 23:21 - Pick the Offer You Enjoy Fulfilling, Not Just the Lucrative One 24:31 - The Exact Text Phil Sends to Pitch Free "Guinea Pig" Work 26:29 - Pricing Breakdown: From $250/Month to a $1,500 Setup 29:37 - Should You Skip the Free Phase and Go Straight to Paid? 31:23 - Step One Advice: Pick Orgo and Land Your First Client 34:22 - Where to Find Phil and Sidecar Key Points Managed agents aren't plug-and-play. Phil's offer is a hybrid of coaching, consulting, and a deployed AI employee — he acts as the ongoing manager of the agent, not just the person who installed it, which is why clients pay a few grand a month instead of walking away after setup. Phil started by pricing pure infrastructure setups at $500, then raised it to $1,000, $1,500, and $2,000 as people kept saying yes — but he learned that handing off infrastructure without ongoing coaching causes clients to abandon the agent within weeks because they don't know how to talk to it. His current pricing model is a setup fee plus a per-agent monthly fee, a deliberate departure from flat unlimited-agent pricing (like the $5K/month unlimited model his podcast guest Nick uses) because most clients only need one or two agents, not unlimited access. The single most valuable "pro tip" from this episode: have the agent maintain a value ledger that logs every task it completes and assigns it a time and dollar value, then send the client a weekly report. One client saved 63 hours and $6,300 in his very first week — a number that makes churn almost impossible. Phil sets up a three-way Telegram group chat with himself, the client, and the agent, so the client can watch him interact with the agent and learn how to prompt it, while Phil can see exactly what tasks are being requested and coach in real time. Client acquisition ran entirely on free work and referrals — no social following required. Phil did free setups for close friends to get testimonials, and those friends referred him to paying clients in bigger cities, expanding a small-town Georgia network into clients across the country. Not every profitable offer is the right offer for you. Phil explicitly avoids multi-tool consulting and audits (the AI Concierge model) because it's not what he enjoys fulfilling — his advice is to find the intersection of what's lucrative and what you actually want to deliver. Orgo, an AI agent infrastructure platform - https://orgo.ai Watch Corey's prior episode with Nick, co-founder of Orgo, referenced in this conversation - https://www.youtube.com/@coreyganim Sidecar, Phil's managed AI agent service (Sidecar SMB, with an enterprise tier in development) - https://runsidecar.com FIND ME ON SOCIAL  X/Twitter: https://x.com/coreyganim  Instagram: https://www.instagram.com/coreyganim/  LinkedIn: https://www.linkedin.com/in/coreyganim/  YouTube: https://www.youtube.com/@coreyganim FIND PHIL ON SOCIAL  Phil’s X: https://x.com/fhlcreative Sidecar Website: https://www.runsidecar.com/

  8. 30 jul

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

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

Ver todo (63)

Acerca de

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.

Información

  • Creador
    Corey Ganim
  • Años de actividad
    2023 - 2026
  • Episodios
    63
  • Clasificación
    Apto
  • Copyright
    © 2026 Corey Ganim
  • Mostrar sitio web
    Build With AI

También te podría interesar