Corey Ganim

This week I crossed 50,000 followers on X. Hard to believe, because when I started posting about AI, I had 15k. Every one of them came from my old life: selling on Amazon. Most of you know me as an AI guy. You probably know nothing about how I got here. Here are a few things about my background that might help you, especially if you feel stuck right now. -I graduated college in 2017 with two degrees, entrepreneurship and marketing. Both basically worthless - My first job out of college was at IBM selling data storage. I was 22, making $70k a year, which felt like great money at the time -It didn't take long to realize I hated corporate life and didn't want that to be my future -I stuck around long enough to go through a year and a half of IBM's Global Sales School, widely considered one of the best sales training programs in the world. I got paid to learn how to sell -Right after graduation I began a side hustle selling used books on Amazon. I fell in love with it -in 2019 I quit IBM to sell on Amazon full time, even though I was barely making any money doing it -I moved across the country and back in with my mom to chase it -I did not have immediate success, I got down to my last $1,000 in savings and had to take a $15/hour job at my uncle's insurance agency to keep the lights on. Still building Amazon on the side (January 2020) -COVID hit and accelerated ecom. By August 2020 I quit the insurance job and went back to Amazon full time, this time actually making money -That year I did $990k in sales, the next year over 3M, the next year over 4M -In January 2023 I started posting content online. There was a huge gap in the market. Almost nobody was teaching the sales and relationship side of selling on Amazon -That summer I partnered with @cleartheshelf and @entreresource to launch my first info product, the Wholesale Challenge -I had never sold an info product. I was brand new to content and marketing -The Challenge was a 7-day cohort-based live training. $300 on the front end, with a $1,000 upsell webinar on the back -I had never run a webinar in my life. I closed 52% of the room and we collected $110k in pure profit in under 45 minutes -That was the moment I finally understood the power of building an audience, marketing, a personal brand, and putting out a genuinely good product -About a year later I launched a mastermind and coaching program called The Wholesale Network -we grew it to over $350k in ARR in under a year and a half -By the middle of 2025 I was completely burned out on Amazon after doing it for almost 9 years -selling on Amazon taught me every fundamental of business and I wouldn't trade those years for anything, but I knew it was time to move on (I just had no idea what was next) -I sold The Wholesale Network to a partner, liquidated my Amazon storefront, and set out to figure out what I actually wanted to do with my life -started experimenting heavily with AI, started building no-code automations with tools like Zapier and Make -in January of this year OpenClaw took off and I was in the right place at the right time. My business partner found it on day two, back when it was still called clawdbot -We started experimenting immediately and got about two weeks ahead of everyone else -When it went viral, we were positioned to create the best content on how to actually use it, because we were already using it in our own business -My following doubled in two weeks just from sharing what we were doing -Since then we've built a real business: AI assessments, AI concierge consulting, and our AI Operator Academy community, which now has over 50 members -We're partnering with top-tier brands, growing on every channel, and have more opportunities than we know what to do with -All of it traces back to one thing: investing in the Build With AI podcast, social media, personal branding, and partnerships -A year ago I genuinely didn't know what I was going to do with my life. I was pretty depressed. My entire identity was wrapped up in being an Amazon seller, and once that wasn't my path anymore, I felt completely lost I'm writing this to tell you something simple: if you don't know what's next, keep moving forward. Keep putting in the work. Keep talking to people. Keep building your brand. The opportunities will show up. And when they do, you'll be in a position to capitalize. love yall

If a college kid can do this, you can too. You just need to learn 3 skills: -how to audit workflows and understand how they work -how to optimize those workflows and cut out the waste -how to automate those workflows with AI It's not rocket science and there's really no excuse for getting left behind. 3 ways to win: -sell these services to businesses -learn how to implement them into your existing business -learn the skills to become the most valuable employee on the market

Claude/ChatGPT could cost $10,000/month and it would still be the biggest steal in history

A college student quoted a private equity CEO $25,000/month for AI consulting, hoping the CEO would counter at $10,000. To his surprise the CEO was genuinely interested in the $25K offer. James Larson and his 2 co-founders (also both in college) were on that call trying not to smile. They ended up settling at $15K/month for the first 6 months. They future paced the CEO's expectations by mentioning a maintenance plan of at least $5K/month once the engagement ends. James is 23 and still a full-time student at BYU. Here's his exact system you can copy: THE WAY IN He asked his network for intros to companies doing $10M+. Then he asked those owners for advice, NOT A SALES CALL. Most CEOs are willing to give ambitious young people advice, and many of those casual conversations turn into sales conversations. THE ASSESSMENT They charged for it from day 1. They started at $1,000 then recently closed one at $5,000. They survey every department head before they do the actual assessment so they begin the assessment already knowing their pain points and software. Then they record a 30-minute call with each one and ask for real examples of their work. THE MAP James and his co-founders rank every workflow by ROI, using the numbers their client gave them. This client got 19 workflows and a conservative estimate of $255K to $285K back in year one. THE DEMO They build working demos on their clients' real documents and show the whole C-suite on one call. This is what got the room excited. THE PRICE They like to quote 3 tiers at prices higher than feels comfortable. During our interview I advised James to take the price he's comfortable with, double it, and let them negotiate down from there. The whole sales cycle for this $15K/month deal took about 6 weeks. They have a ton of similar deals in the pipeline and the future is bright for these guys! James screen shared his entire business model on the Build With AI podcast. Full video below. youtu.be/JhUDD9i1X3o (Also available on the Build With AI podcast wherever you get your pods)

One of our biggest competitive advantages that I rarely talk about: Our Signal Stack. It's a short list of sources Claude Code/Codex reads every week so that we're always up to date on the market, our competitors, trends, etc. Here are the sources we use + the setup: Customers: -Where our buyers talk about the problems we solve -Their words -Their venues -Their tone Competitors -5-10 competitors or substitutes -What they're shipping -What they're charging -What they're hiring for Market -Regulatory shifts -Sector economics -Events that change what buyers prioritize Internal -CRM -Fathom call transcripts -Slack -Customer feedback Every source has to pass 3 tests: -Specific: covers our problem space, not "AI" generally -Recent: not old/outdated -Decision-relevant: we can make informed decisions based on the data The setup: 1) We have Claude read our business context files 2) We had it interview us about our market (10 questions) 3) It then sorts our sources into 4 buckets, each with a one-line "why this exists" 4) DON'T SKIP THIS STEP: It cuts every source without a "why" 5) We schedule a brief for Monday at 8am 6) It gets a monthly check for dead URLs, drifted sources, and duplicates Highly recommend you set this up for yourself, also something good to set up for clients for an additional fee or just a value-add on top of your existing service(s).

GPT 6 advice (incognito mode, no context/bias)

Starting to get 50% (or more) of my daily work done via iMessage. I pinned text threads with my Dot and my Instinct, and any time I need to get a business task done I just text my Dot. Any time I need to get personal work done I text my Instinct. So much of working with AI revolves around personal preference and I much prefer to work inside the platform I already use most. I found that when I removed all friction of having to jump between platforms (Slack, ChatGPT, Claude, etc.) I'm able to get work done much quicker.

The Grok Bot setter we run on our free community (works for any business with inbound leads): The trigger: -Someone new comes in (free community, email list, etc) -Bot sends them a DM written in our actual typing style, imperfections included -One message, one free offer The offer: -Something personalized they get by filling out a short form -Ours is a custom scaling plan. Yours could be an audit, a quote, a teardown, etc. -We add 2 specific questions to the form: "want it by text?" and "interested in working with us?" The reply loop: -The bot checks for replies every hour -It categorizes each reply and drafts a response into a Notion queue -Every draft gets a status: Pending, Approved, or Revised -Simple replies ("thanks", "send it over") get auto-approved -Anything marked Revised, the bot studies what we changed and updates its own rules The follow-up: -No reply gets a follow up at 3 days, 7 days, and 1 month -They reply: they exit follow-up and go back into the reply loop The weekly dashboard: -DMs sent -Replies -Response rate -Free offers requested -Free offers delivered -Conversion to paid after DM -Conversion to paid after free offer The hourly reply checker burns through Grok But usage quickly so we're having our Dot do this part of the process since it's usage isn't currently charged.

Huge! How to set this up:

8 open source GitHub repos you can turn into a cash-flowing AI service business overnight. Below are the exact offers you can sell. All of them are solopreneur-friendly. Most of them cost $0 to $20 a month to run. 1) Voice Studio (92.5K stars). A free local ElevenLabs alternative. Sell creators with 10K-250K subs a "Spanish channel in a box": every video dubbed in their own voice. github.com/debpalash/VoiceSt… 2) Cloudflare's Security Audit Skill (51.2K stars). Turns Claude Code into a security auditor. Sell audits to founders who built on Lovable, Bolt, Replit, or Cursor. github.com/cloudflare/securi… 3) Anthropic's free plugins (33K stars). Wire the sales plugin into a team's HubSpot or Close. Call prep drops from 20 minutes to 2. github.com/anthropics/knowle… 4) Agent Reach (105K stars). Reads Reddit, X, YouTube, and LinkedIn with zero API fees. Sell a daily list of 5 people asking for what your client sells, replies drafted in their voice. github.com/Panniantong/Agent… 5) Metabase (50K stars). QuickBooks, CRM, and ad accounts in one owner dashboard, plus a Monday KPI email. Sell to $2-20m businesses running on gut feel. github.com/metabase/metabase 6) Paperless NGX (47.2K stars). Digitize the file cabinets, auto-file everything new, put Claude on top of the archive. CPA firms, law firms, title companies. github.com/paperless-ngx/pap… 7) Invoice Ninja (10.3K stars). Open-source FreshBooks. Payment links, reminders at 3, 7, 14, and 30 days, Claude-drafted escalation emails. Sell to anyone sitting on $50K+ in late invoices. github.com/invoiceninja/invo… 8) Dub (25K stars). A unique QR code on every mailer, yard sign, and truck wrap. Home service companies finally see which channel made money. github.com/dubinc/dub.link Two things that make this work: 1) Lead with a free deliverable. A 60-second dubbed clip. 5 real Reddit threads. A mocked-up dashboard. Let a high-value sample do the selling for you. 2) Don't run all 8. Pick one and go deep. I'd start with Agent Reach because it can get your client a new customer tomorrow. Full breakdown below. Enjoy! (also available on the Build With AI podcast wherever you get your pods)

If you want to get clients, make connections, build trust, etc... You NEED to be hosting in person events. This is my 4th month in a row hosting a local in-person AI For Business meetup in my city (Charlotte, NC). I've made great friends, built valuable connections, and established myself as a local AI thought leader in 4 short months. These are the exact steps I took to launch my meetup, and I highly encourage you to copy my process in your city/town: 1. Define your target audience. Mine is non-technical business owners. There are lots of meetups for devs, none for non-technical folks. 2. Pick a name for your meetup. I called mine AI For Business so people know exactly what they're getting by hearing the name. Don't overthink it. 3. Book a location to host the meetup. I rented a room at a local coworking space. 4. Create a registration page on Luma or Meetup. Make it clear what someone will take away from attending. Be specific. 5. Market your event in local business owner Facebook groups and by DMing people on LinkedIn/texting people direct invites. 6. Prepare a brief demo/presentation. At my first one I shared an Excalidraw diagram explaining what Skills are and how to build them. At this month's event we built a Brand Voice skill live on my computer. Again, don't overcomplicate this step. 7. Follow up with everyone who attended, ask what they liked/disliked then incorporate that feedback into the next one. A few additional tips: -Your first event may flop. It's ok, this is a long game. Keep doing them once a month and it'll grow. -Find a well-connected person to co-host the event with you. The first one I ever did I co-hosted with a realtor. She invited all her friends/clients. -Most people know nothing about AI. When you prepare your presentation, dumb it down then dumb it down again. Keep things SIMPLE. Hopefully this helps you get your own local AI event/meetup off the ground. It has been a very fulfilling venture for me and my plan is to grow it exponentially and keep running it for years to come.

This wasn’t your typical AI podcast. It was so refreshing to zoom out and talk about how AI is affecting the world around us and what that means not just for founders but for normal people too. The world as we know it will be entirely different in 5 years. Hopefully this interview gets your mind spinning about how you fit into that world.

The most underrated thing you can do with Claude Code right now: Remotion Recaps It's been super useful asking Claude to turn its own output into a 2-minute video. I've been doing this for plans, audits, research, call breakdowns, etc. Works especially well if you hate reading long text output. An exercise you can do right now: Open Claude Code. Point it at any doc, transcript, article, or link. Then paste this: "Read [link or file]. Turn it into a 90-second to 2-minute Remotion video that explains the core ideas to me, so I don't have to read the whole thing. - Write the script first: 6-10 scenes, 2-5 short lines each. - One idea per scene: big headline, a few labeled cards, a progress bar so I know where we are. - Add a voiceover and time each scene to its audio. - Render the video as a shareable Claude artifact so I can share it with my team if needed." Just did this with a 20+ page build plan doc for a project I'm working on. 64 sections became 9 scenes and 2 minutes of video. The default voice it uses is Mac voice which sounds super robotic. If you want a better voice ask Claude to use Treg to find a higher quality voice (will cost ~$0.05 or less). This is really useful for making Claude SHOW you its work in a visual format.

I run 6 Grok Bots that fire 14 routines a week across 11 connected apps. Here's the full breakdown of my top 10 use cases, including the schedule each one runs on. Full video walks through every bot, skill, and connector inside my actual setup. Run the business 1. Chief of Staff bot. The only bot I talk to. It delegates to the other 5 and catches any conflicts in my schedule. 2. Sunday week plan (skill) runs every Sunday at 8am. It plans my week in Todoist around my day themes (writing, video, sales, admin) using Google Calendar. 3. Second brain audit (skill) runs every Friday at 6:15pm. It compares the week's work across every bot against my second brain on GitHub and suggests edits so Claude and Codex stay in sync. Grow revenue 4. Newsjack bot runs a morning scan of news stories and journalist requests. On day two it went through 243 media requests and had 2 pitch packs ready in my voice. 5. Connector bot runs every Friday at 8am. It reads my Notion CRM, email, calendar, meeting notes, and DMs. Tells me who's due for a check-in, drafts it, and flags intros where both sides win. 6. Speed to Lead bot. Runs 3 different routines handling lead follow up, building call briefs, and nudging cold prospects when they go quiet for 2-3 days. Make content 7. X Research bot runs every Monday and Thursday. It pulls trending posts in my niche plus my own outliers into a Notion database. 8. Analytics bot syncs my X, YouTube, LinkedIn, and Kit numbers into one Notion database. 9. My X article finder skill lets me give a bot a topic then it pulls 5 recent X Articles that performed well so I can study the titles and thumbnails. Bonus 10. Facebook Marketplace bot answers buyers in Messenger, sets up the meetup or the sale, and preps shipping. It helps me turn garage clutter into cash. Every use case is built from the same 4 blocks: -a bot -a routine (the schedule) -a skill (the checklist) -a connector (the apps) The only bot that auto-sends anything is Facebook Marketplace Bot. It has a custom rule that allows it to override my "never send without my approval" setting so it can arrange sales without my involvement. (full video/audio also available on the Build With AI podcast)

I built a Grok Bot that acts as en elite fitness coach. It includes: -My full athlete profile -A complete exercise library -In-depth training and nutrition playbooks based on @Mindpump's public methodology (Mind Pump is my favorite fitness podcast, the hosts have 20+ years of training experience and they 100% know their stuff. This Bot is trained on all their publicly available knowledge). I worked out the kinks then turned it into a free Grok Bot template called Fitness Coach. Install it and it: 1. Interviews you, one question at a time 2. Builds your profile and a starting training block 3. Sets your calories, macros, and meal timing 4. Writes your first session 5. Coaches each workout and logs your top sets I've been having a ton of fun with it! You can grab the free template here: x.ai/bot/RJaAVGv0DKddKYaJQuG…

4 more interesting takeaways: 1. Sell before you build. There’s nothing worse than spending time/money building something nobody wants. Get someone to pay you first, then figure out how to deliver. 2. This group is ahead of 99.9% of people in terms of AI knowledge and a few of them had zero experience building skills. I’ve said it before and I’ll keep saying it, if you know how to build skills with AI (automated workflows), you’re in the top 0.1%. 3. Multiple different industries were represented at this event (HR, finance, tech, services, retail, etc.) but most everyone struggles with the same few problems, mainly distribution, funnel architecture, and consistent deal flow. 4. The folks in the room who were farthest ahead owned their distribution. That could be a huge IG audience, engaged email list, consistent website traffic, or something else entirely. But the common denominator between the most advanced people was a consistent stream of interested eyeballs.