Build With AI

Corey Ganim

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

  1. hace 8 h

    # 173 How to make real money AI maxxing boomer businesses

    LIMITED bonus from Hyperagent: First 1,000 people get $1,000 in free Hyperagent credits. Claim yours: https://www.hyperagent.com/corey I brought on Alex McDonnell from HyperAgent, which is the new agentic platform built by the team at Airtable, and we walked through a full business model for selling AI services to local brick-and-mortar businesses. The play is simple: use agents to find businesses with great reviews but terrible or nonexistent websites, have HyperAgent build them a new site automatically, then lead with that as a free tripwire offer. We go deep on the real upsell, which is revenue-driving systems like speed to quote tools for landscapers and mechanics that close deals faster. By the end of this episode, you'll have a complete offer structure you can take to any local business owner this week. Join our AI Operator Academy Community where we help entrepreneurs start and scale a profitable AI services business: https://www.skool.com/aioperatoracademy/about Timestamps 00:00 – Intro 00:43 – What HyperAgent is and the business model concept 02:19 – Why this outreach wasn't possible before AI agents 05:16 – The command center for managing agent-built prospects 07:59 – Website before and after: Veslo Family Restaurant 10:36 – How HyperAgent judges website quality on its own 15:10 – Speed to quote system for a landscaping business 19:53 – Why zero landscapers in your city have this yet 22:55 – Pricing the offer: $5-10K setup plus monthly retainer 26:14 – Live build: speed to quote for CS Automotive 27:35 – Plan mode vs execute mode in HyperAgent 30:39 – Running agents on a Kanban board in Airtable 33:30 – Selling the agent itself as the product 37:03 – Agent marketplace and the compute markup model 38:05 – Live result: the CS Automotive quote tool finishes 42:20 – Static artifacts as lead gen, always-on agents as the upsell Key Points The tripwire offer model works because agents can now build a full website for a local business in under an hour for about nine dollars in compute, turning what used to be a paid deliverable into a free lead gen tool. HyperAgent doesn't just find businesses without websites. It has the judgment to recognize that a business has a website but it's bad, which is a much harder problem that most agentic tools couldn't solve even a few months ago. The real money is not in the website. It's in upselling always-on revenue systems like speed to quote tools that help businesses close deals faster, priced as a $5-10K setup fee plus a monthly retainer of $200-1,000. The landscaping speed to quote example is the standout: a customer submits a photo of their yard and gets back three design variations with toggleable features, live pricing, and financing options, all generated by an agent. Every skill Alex builds for HyperAgent demos gets published for free on X and GitHub, so you can grab the landscaping build, install it, and take it to a client without building from scratch. HyperAgent's long-term vision includes an agent marketplace where creators publish agents and earn a markup on compute costs, making distribution feel free to the end user while the builder still gets paid. Airtable - System of record for managing agent workflows via Kanban boards - https://www.airtable.com If this episode was valuable to you, it would mean a lot if you left a rating and review on Apple Podcasts or Spotify. It helps more entrepreneurs find the show. FIND ME ON SOCIALX/Twitter: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim FIND ALEX ON SOCIAL X/Twitter:  @hyperagentapp

    46 min
  2. hace 3 días

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

    Grab the free cheat sheet of all eight objections plus a how-to-use-them section - https://corey-ganim.kit.com/a2e17c90d1 In this solo episode, I break down the eight most common objections you'll hear when pitching AI services to business owners, and I show you exactly how to destroy each one. I cover the QuickBooks analogy that handles "can't I just use ChatGPT myself," why skeptics need one concrete win in days instead of more hype, and the ROI flip that makes "it's too expensive" the easiest objection on the list. I also walk through the effort versus impact matrix for owners who tried AI and got bad results, the five pillars that prove no business is too specialized, and the exact framing for "let me think about it." By the end of this episode, you'll have a ready response for every objection standing between you and your next closed AI deal. Join our AI Operator Academy Community where we help entrepreneurs start and scale a profitable AI services business https://www.skool.com/aioperatoracademy/about Timestamps 00:00 – Intro 00:14 – Objection 1: Can't I just use ChatGPT myself? 01:25 – Objection 2: AI feels overhyped 02:05 – Free cheat sheet of all eight objections 02:33 – Objection 3: It's too expensive 03:46 – Objection 4: I don't have time right now 04:55 – Objection 5: I tried AI and got bad results 05:40 – The effort versus impact matrix 06:30 – Objection 6: My business is too specialized 06:50 – The five pillars of an AI operating system 07:30 – Objection 7: I don't want to replace my people 09:00 – Objection 8: Let me think about it 09:45 – The $999 AI assessment close 10:25 – Recap and how to grab the cheat sheet Key Points You destroy "can't I just use ChatGPT myself?" with the QuickBooks analogy: you could do your own books, taxes, and insurance, but you pay an expert because they know what to do and you don't want to spend the time learning. "It's too expensive" is the easiest objection to overcome because you can always flip it to ROI. If a few thousand dollars buys back five hours a week or unlocks more revenue, the expensive option is doing nothing. "I don't have time" is the objection that proves the pitch. The owner has no time because they're buried in the exact day-to-day tasks you'd be automating. Most owners who tried AI and got bad results jumped straight into tinkering. The right way is auditing existing workflows with an effort versus impact matrix and stack-ranking exactly where AI makes sense. No business is too specialized for AI. Every business runs on follow-up, quoting, scheduling, and emails, and every business runs on the same five pillars: sales, marketing, finance, operations, and intelligence. Frame AI as automating tasks, not roles. It pulls the grunt work off the team so they can do the job they were actually hired for, and you never lead with replacing people. "Let me think about it" is usually a smokescreen. Reframe the real decision: every week of waiting is more hours lost to a task that could be automated, and the cost of staying stuck compounds. ChatGPT - https://chatgpt.com Claude - https://claude.ai FIND ME ON SOCIAL X/Twitter: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim

    12 min
  3. hace 6 días

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

    Grab the full mini assessment playbook in Notion for free, including the first-call script and the second-call prep checklist: https://corey-ganim.kit.com/0cea7ca381 In this solo episode, I hand over the complete free AI mini assessment framework I use to turn business owners into paid clients in two 15-minute calls. I walk through the three levers of ROI, the five questions to ask on the fact-finding call (including the ROI anchor and my favorite, the magic wand question), and how to pick the one bottleneck that sits at the intersection of high frequency and high friction. Then I break down the prescription tree, when to recommend an off-the-shelf tool, Claude Cowork, or a custom Claude skill, and the exact three things you bring to the follow-up call. By the end, you'll be able to run this assessment confidently in about 15 minutes and ask the money question that converts 30 to 50% of free assessments into paid work. Join our AI Operator Academy Community: https://www.skool.com/aioperatoracademy/about Timestamps 00:00 – Intro 00:14 – The lens: one bottleneck, one tool, one upsell 00:30 – The three levers of ROI 00:57 – Meeting one: the 15-minute fact-finding call 01:25 – The forking question 01:43 – The repetition question 01:58 – The friction question 02:10 – The ROI anchor question 02:45 – The magic wand question 03:35 – Closing call one and booking the follow-up 03:55 – Between meetings: frequency and friction research 04:43 – Meeting two: prescribing the one solution 05:15 – Finding off-the-shelf tools in AI directories 06:20 – Claude Cowork vs. a custom Claude skill 07:08 – The three things you bring to call two 07:40 – The money moment and the upsell question Key Points Every prescription has to pull one of three ROI levers: effectiveness (more revenue), efficiency (hours back in their week), or quality (happier customers). Let the owner pick the lever, then weight everything back to it. Meeting one is pure discovery. Prescribe nothing. Ask the five questions, listen, and close by naming the one bottleneck with the highest opportunity back to them. The ROI anchor: get the owner to quantify the pain in their own words. Two hours a week at $200 an hour is $400 a week they could get back, and that number does the selling for you. The bottleneck worth fixing sits at the intersection of high frequency and high friction. That's the one you prescribe. Everything else stays in your back pocket. The prescription tree: common tasks get an off-the-shelf tool, tasks involving judgment, writing, or research get Claude Cowork, and repeatable workflows unique to their business get a custom Claude skill. When prescribing a custom Claude skill, tell them the what, not the how. That gap is your upsell. Come to call two with three things, the name of the tool, what it costs, and the first step they could take this week, then ask the money question: hand it off, build it with you, or build it for you? 30 to 50% of the time, they say build it. Free Notion template with the full mini assessment playbook, first-call script, and second-call prep checklist - [ADD NOTION TEMPLATE LINK] There's An AI For That - AI tool directory searchable by industry to find off-the-shelf fixes - https://theresanaiforthat.com Futurepedia - another AI tool directory for matching tools to client pain points - https://www.futurepedia.io Claude Cowork - the prescription for tasks involving judgment, writing, or research - https://claude.com FIND ME ON SOCIAL X/Twitter: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim Click to enable keyboard move mode.

    10 min
  4. 9 jun

    # 170 Building an SEO business with Claude Code

    I brought on Ryan Doser — a non-technical marketer with over a decade of experience who built a real-world Claude Code SEO workflow that's generated $5,000 in passive revenue in under two months — to show exactly how this works, step by step. We walk through two full demos: how Ryan repurposes YouTube videos into SEO-optimized blog posts automatically via a WordPress MCP connection, and how he vibe-coded an entire local service business website from scratch using Claude Code, Astro, GitHub, and Cloudflare — no developer required. He also shows us how he's running the same WordPress workflow for a paying client that's now showing up number one in Google AI overviews for national keywords. By the end of this episode, you'll know exactly how to do this yourself, how to sell it as a service to local businesses, and where Ryan's $99 Claude Code Skill Stack fits into the equation. Skool Community: https://www.skool.com/aioperatoracademy/about Timestamps 00:00 – Intro and what you'll take away 00:33 – Does this require coding knowledge? 01:12 – Demo 1: WordPress Claude Code SEO workflow 03:26 – Who to sell this to (creators vs. B2B clients) 05:50 – How the blog post auto-publishes to WordPress 07:15 – Google Search Console results and $5K in passive revenue 09:38 – Breakdown of the revenue timeline and digital product 11:42 – Real client example: MedX Dental IT 13:34 – AI search results and ranking #1 in Google AI overviews 14:50 – How to price this as a service and prove ROI 16:42 – Demo 2: Local service businesses as the target niche 19:47 – The fake septic tank site ranking on page one 22:00 – Building and deploying with Astro, GitHub, and Cloudflare 27:35 – Why this model beats time-saving automations 31:23 – Why SEO is evergreen and the long-term pitch to clients 33:00 – Live deploy: blog post goes from Claude Code to live site 34:14 – Wrap-up and where to find Ryan Key Points Ryan is a non-technical marketer — no coding background. He built this entire workflow as a regular person figuring it out, which means anyone watching can do the same thing. If the barrier felt technical before, that framing matters. The WordPress workflow is fully hands-off after one prompt. Claude Code scrapes a YouTube transcript, pulls screenshots from the video, compresses and uploads images to WordPress, writes the blog post with proper H2/H3 structure, assigns a category, sets the featured image, writes the meta description, and publishes a draft — all without touching the CMS. Ryan made over $5,000 passively from a $99 digital product, with roughly 80% of that revenue attributed directly to blog traffic from AI-repurposed YouTube videos. He implemented this in late February and the traffic didn't even start building until mid-April - so the real window was about six weeks. The fake Des Moines Septic site - built in a single three-to-four-hour Claude Code session two weeks before recording - was already ranking on page one of Google, beating legitimate businesses, Better Business Bureau, and HomeAdvisor for "septic tank pumping near me." That's the case study you use to land clients. The client pitch for boring local service businesses is not immediate ROI - it's long-term compounding. Work done today pays dividends in year one, year two, and year five, even after the retainer ends. Business owners who think long-term immediately get this, and they're exactly who you want as clients. The whole stack is nearly free. GitHub is free. Cloudflare has a generous free tier. VS Code is free. Astro is free. All you need is a Claude subscription - $100 a month gets you real output capacity. The arbitrage between a $100/month subscription and two or three clients paying $2,000–$5,000 a month each is hard to argue with. Ryan's approach to client acquisition for local businesses: go in person. With AI-generated spam calls and emails everywhere, walking into a business and talking to the owner directly cuts through the noise. Even as a mediocre salesperson, ten in-person conversations with decision-makers will close at least one client. Links Mentioned Ryan's Claude Code Skill Stack — 25–30 marketing and content skills including the WordPress repurposing workflow and the local service site builder — https://ryandoser.com/ Ryan Doser's YouTube channel — real-world Claude Code workflows for marketing and content, with full walkthroughs of everything shown in this episode — https://www.youtube.com/@RyanDoserAI AI Marketing Insiders community — Ryan's 1,000+ member community for marketers using AI — https://www.skool.com/ai-marketing-insiders FIND ME ON SOCIAL X/Twitter: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim Skool Community: https://www.skool.com/aioperatoracademy/about FIND RYAN ON SOCIAL YouTube: https://www.youtube.com/@RyanDoserAI Website: https://ryandoser.com/ AI Marketing Insiders: https://www.skool.com/ai-marketing-insiders

    37 min
  5. 5 jun

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

    In this solo episode, I walk through seven ways to land clients for your AI services business — starting with the method that personally got me seven qualified leads in about two hours of total effort. I cover everything from hosting a local AI meetup to knocking on doors to LinkedIn outreach to building agency partnerships, and I break down exactly what to say and do at each step. Every method ties back to one simple foot-in-the-door offer that converts cold strangers into paying clients. By the end, you'll know where to start, what to prioritize first, and how to stack these methods to build a real pipeline fast. Join AI Operator Academy where we go even deeper on selling AI services, finding clients, and building an AI Operating System: https://aoa.community/ https://app.excalidraw.com/l/4z8Z2Lyybfg/jhXBCxthrX Timestamps00:00 – Intro00:00 – Method 1: Host a local AI for small business meetup02:24 – The follow-up that makes the meetup worth it02:50 – Method 2: Door knocking local service businesses04:47 – Method 3: LinkedIn outreach without being spammy06:30 – Method 4: Free audits for people in your network07:10 – Documenting wins and building early testimonials08:10 – Method 5: Partnering with agencies, coaches, and consultants09:35 – Method 6: Hosting AI office hours at a co-working space11:56 – Method 7: Posting your wins on LinkedIn13:30 – Where to start: the three methods to do first Key Points Hosting a local AI for small business meetup is the single best method to start with. Find a free venue (library, co-working space, or a realtor's office), set up an Eventbrite or Luma page, give a 20-minute talk on basic AI tools, and capture every name, phone number, and email at the door. The magic is in the follow-up within 24 hours. The foot-in-the-door offer that powers every method on this list is a free 15-minute mini AI assessment. You're not selling anything upfront — you're prescribing one simple AI tool specific to their business. That assessment is what converts conversations into paying clients. Door knocking local service businesses is the lowest-hanging fruit if you want a client today. One person went into 30 businesses, got five appointments, and landed two paying clients. If you do 10 walk-ins a week consistently, you will get clients. Partnering with marketing agencies, coaches, and consultants is the highest long-term value method on the list. These partners already have your future clients as their clients, and most of them have no good answer when those clients ask about AI. You become their go-to AI resource and offer a cut of any work they send your way. One good partner can send you 50 to 100 leads over the course of a year. Hosting AI office hours at a co-working space gives you free marketing and free exposure while positioning you as the local AI expert. You show up for two hours, answer member questions for free, and document every single question — those become your social media content and your client pipeline. Every free audit, every question you answer, every text message that says "wow, I didn't know that" is an early win and an early testimonial. Screenshot all of it. These are your case studies for landing the next client and building toward charging $999 for a full paid assessment. LinkedIn is the best platform for landing AI services clients. Post three to five times a week mixing wins, answers to common questions, and real education. Stay top of mind so that when someone needs an AI expert, you're the first person they call. Luma - Event registration platform for hosting and promoting your AI meetup - https://lu.ma Eventbrite - Free event pages to get attendees registered and confirmed - https://www.eventbrite.com AI Operator Academy - https://www.skool.com/aioperatoracademy/about FIND ME ON SOCIAL X/Twitter: https://x.com/coreyganimInstagram: https://www.instagram.com/coreyganim/LinkedIn: https://www.linkedin.com/in/coreyganim/YouTube: https://www.youtube.com/@coreyganim

    15 min
  6. 2 jun

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

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

    15 min
  7. 27 may

    # 167 I built an AI agent finance department (full build)

    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

    44 min
  8. 19 may

    # 166 AI agent focus groups are the future of marketing

    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

    50 min

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

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