Corey Ganim
@coreyganim • 63,156 subscribers
Helping non-technical entrepreneurs turn AI into ROI. Previous founder of a $16M eCom startup.
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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. (Also available on the Build With AI podcast wherever you get your pods)
Corey Ganim266,916 views • 6 days ago
This guy did $1,000,000 in 30 days as an AI data broker. His model: frontier labs have used all the data on the internet and need private company data to keep improving. His firm finds businesses with the right data then de-identifies it, packages it, and sells it to the labs. Ryan Lock “RL” runs one of the hottest startups in this space (Polyshares) and walked me through his entire business model on the pod. Here's what I learned: 1. Making an intro to a data buyer is only step one. Technical due diligence on how the business actually operates is where the value gets built. 2. Labs buy the full workflow. Client email to internal Slack debate to resolution, including the fixes the team rejected. 3. He targets companies with 50+ employees, 3+ years on the same software, US-based, English. Below 50 employees = fixed legal and diligence costs kill the deal. 4. Remote-first white collar wins. If the work happens on the phone, the lab just sees "ticket created, ticket closed." 5. Depth of history beats raw volume. 20 years in business means nothing if they switched software 3 years ago. 6. Never let sellers de-identify their own data. Names become "employee 632" so relationships survive. DIY versions wreck the value. 7. Use a third party to de-identify. They hold the raw files for about a week, then delete them. That kills the biggest objection. 8. Never sign a perpetual license. 24 months of exclusivity is the typical buyer ask. 9. Time the exclusivity to the exit. Selling in 2 years? Match the term so the new owner inherits a dataset they can license again. 10. Demand rotates. A few weeks ago labs wanted heavy construction. Now it's video game companies. His 2 key takeaways: 1. Act like a sell-side broker, not a lead seller. Organize and present the owner's data like an M&A deal and you can earn an advisory fee on top of the finder's fee. 2. The buyer pool could explode. If enterprises start training their own models, buyers go from maybe 10 labs to hundreds of thousands. Ryan is doing this at a level most of the people hyping it on X are not, and we had a blast going deep on it. Go follow Ryan Lock “RL” (Also available on the Build With AI podcast wherever you get your pods)
Corey Ganim100,937 views • 29 days ago
This guy sells AI employees to small businesses. He's a non-technical designer with no audience, spends $0 on ads, has no tech background. Yet he's still done 21 agent setups in 6 months, almost all from referrals. His model: install one AI agent as a digital employee, then get paid monthly to manage it and coach the owner. Setup fee plus a per-agent monthly rate. Phil came on the Build With AI pod to walk us through the whole playbook. Here's what I learned: 1. The product is the coaching, not the agent. Owners treat AI like Google. You get paid to manage it so they never have to. 2. Raise your price every yes. $500 setups became $1,000. Now he's targeting $2,000 setups plus $1,000/month per agent. 3. Give the agent a value ledger. It logs every task and sends a weekly ROI report. One client's first week: 63 hours saved, $6,300 in value. 4. Put yourself in the group chat. Telegram group with Phil, the client, and the agent. The client learns by watching him talk to it. 5. The agents handle real multi-step work. One prompt: find the invoice email, extract the PDF into Excel, save to Dropbox, send the link. Done in 10 minutes. 6. Uptime is a selling point. The best prospects tried agents themselves and quit when they broke. Phil fixes it before the client notices. 7. Free work is the referral engine. Friends in his small Georgia town told friends in Atlanta and Dallas. Now he has clients nationwide. 8. The pitch is one text. "I'm testing a managed agent service. Want to be a guinea pig? I'll charge you less." First client: $250/month. 9. Make the agent write to Excel, not its own markdown. A shared source of truth is the difference between a demo and a system. 10. Phil builds his agents on Orgo. $29/month gets your agent a computer with pre-built templates. Phil's agent handles the Orgo admin itself. His 2 key takeaways: 1. You only need to be one step ahead. If you've built an agent for yourself, you know more than the owner who never has. Charge from day one. 2. Visible ROI is the retention strategy. A weekly "you saved $6,300" report re-sells the retainer every single week. Phil is doing this at a level most technical people are not, and we had a blast going deep on it. Go follow Phil Full video below. (Also available on the Build With AI podcast wherever you get your pods)
Corey Ganim226,472 views • 3 months ago
Watch me get rejected for 5 minutes straight cold calling prospects for AI services. Enjoy.
Corey Ganim144,325 views • 2 months ago
I'm making $8,000 a month building Claude skills for other people's businesses. I call it the AI Concierge. I have 5 clients paying $1,200 to $2,000 a month each. My effective rate is about $1,200 an hour. Every engagement runs on one framework I call AOA: Audit, Optimize, Automate. Here's the entire model: 1) Most people skip straight to Automate. That's the fun part. It's also how you end up automating a broken process. 2) Audit first. The client shares their screen and walks the process in painful detail while I take notes in a Google Doc and interrupt with a million questions. 3) Capture the plumbing, not just the steps. Who owns each step, which tool it runs in, where the data lives, and whether that tool can connect to Claude. 4) Hand the audit doc to Claude and ask it to find a better way. Then push back. Claude's first synopsis is usually partly wrong, and the client catches it. 5) Cut the fat. Most processes are 15 steps and only need to be 11. Most clients use 3 tools where 2 would do. 6) One home per fact. One client stored customer data in ClickUp and the CRM. We killed the ClickUp copy. Duplicates are just human error waiting to happen. 7) Have Claude write the build plan. It splits the process into skills, scaffolds each one, and lists next steps. Then you lock the doc. 8) A skill is a markdown file plus reference files. A reference file is just an example of what good looks like. Claude builds all of it. 9) Build one skill at a time from the build plan. If the audit was done right, Claude one shots it. Test on a real run, let Claude interview you, iterate. Version 2 is usually the keeper. 10) Draft first, never auto send. A speed to lead skill drafts replies for review on day one. It earns auto send later. Two things that make this work: 1) Audit and Optimize are 80% of the work. Automate is the 20%. You have to earn the right to build. 2) Skills do one thing well. Split at every point a human or a wait interrupts the chain, then let an orchestrator run them back to back. Full step-by-step playbook for starting a profitable AI Concierge business (free): Full breakdown below. Enjoy!
Corey Ganim71,827 views • 1 month ago
HOW TO SELL "SECOND BRAIN AS A SERVICE" FOR $5K + (FULL COURSE) The model: build businesses a structured knowledge base out of plain markdown files, then charge to maintain it. No fancy database, Obsidian, or RAG. It becomes the foundation for every other AI project you sell them afterward. A $750 audit turns into a $3,500 build turns into a client who keeps paying you to add more. Adam Sandler came on the pod and walked through the entire playbook live. Here's what I learned: 1. Lead with the knowledge base, not the agent. Every prospect wants a CFO agent. Nobody has the context to make one work. Solve "where does the info live?" first and you've teed up every future build. 2. Sell it with AI out of the pitch. "I'll organize all your scattered company knowledge into one living asset." Their files are everywhere and they hate it. That closes on its own. 3. Zero technical friction. Just markdown files on their machine. No signup, no vault, no vectors. Technical drop-off kills AI deals. This deletes it. 4. Seven note types are your starting schema. Snapshot, people, rules, project history, decisions, open loops, links. Walk in with this and you already have a point of view. 5. Find the spine. The one thing everything ladders up to. Usually their annual goals. 6. Portability is the pitch. Fable got pulled and everyone panicked. A knowledge base outside Anthropic or OpenAI plugs into any model. Sells itself. 7. Token savings close the enterprise. One source means you stop re-pasting context every session. Real money, especially with pay-as-you-go API pricing. 8. The audit is the tripwire. Charge to map where their knowledge lives, then roll the fee into the build. Half the build is already done. 9. Two skills run it on autopilot. Ingest pulls from Gmail, calendar, and CRM. Curate does a weekly cleanup pass. That's the flywheel. 10. The knowledge base tells you what to sell next. Ask it for the top 3 AI opportunities. It finds the gap ("inbound takes 22 hours") and the next build sells itself. His 2 key takeaways: 1. Build one for yourself first. One source of truth, built once, every tool connected. Live the unlock and you'll sell it with conviction. 2. Don't let startups scare you off. Off-the-shelf can't learn how your client's business works. That domain knowledge is the moat you charge for. Adam is quietly building one of the best AI service offers out there and we had a blast going deep on it. Go follow Adam Sandler Full video below. (Also available on the Build With AI podcast wherever you get your pods)
Corey Ganim105,458 views • 4 months ago
$999 AI audits. Near-zero cost. 99 out of 100 businesses need one. The full system: → AI voice agent (built on Retell. ai) calls the business owner → Runs a 20-30 min interview on their day-to-day → Transcript pipes to Claude: "find off-the-shelf tools that fix these pain points" → Drop the output into Gamma doc → 48hr turnaround, then a 30-min follow-up call → That call upsells: process optimization ($3-5K), Zapier builds ($1-3K), CRM setup ($3-5K), custom GPT knowledge systems DO NOT SKIP THIS STEP: Do at least 5-10 audits yourself before building the voice agent. This lets you perfect your question bank, get a feel for common pain points, and get familiar with your most recommended tools. Full breakdown on Chris Koerner's Koerner Office Podcast (full video below).
Corey Ganim143,796 views • 6 months ago
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. 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. 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. 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. 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. 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. 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. 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. 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)
Corey Ganim11,402 views • 11 days ago
7 ways to become THE go-to AI consultant in your city: (even if you have zero audience and zero capital) 1) Door-knock local businesses. One guy knocked 30 doors and signed 2 clients in a week. 99.9% of people won't do it. That's the arbitrage. 2) LinkedIn outreach, done locally. Target owners with 10 to 50 employees, never pitch in message one. 20 DMs a day is a paying client in 3 weeks or less. 3) Free audits for your warm network. Text 10 owners you know, 6 reply, 1 to 3 book. My first 3 clients came this way. 4) Partner with CPAs, agencies, and consultants. Give them 10% of every deal. A sales team you pay nothing unless they send leads. 5) AI office hours at a coworking space. My friend did 3 in a month. His last one: 20 people, one closed deal, multiple more in the pipeline. 6) Post your wins on social. A win is as small as a screenshot of you answering an AI question. 3 to 5 posts a week for 90 days. 7) Host an AI for Business meetup. Mine took 90 minutes, cost $100, and produced 7 leads and a paying client within a week. One more very important point: You don't need to be an expert, but you do need to be credible. Local owners will pay the first credible person who shows up with a plan. Two things that make this work: 1) Face to face beats cold everything. Shake their hand and you win by default. 2) Every method feeds the same ladder. Free mini assessment, $1,000 to $2,000 paid assessment, then consulting at $1,000 an hour. Full breakdown below.
Corey Ganim60,405 views • 2 months ago
I'm making over $1,000 an hour with one AI offer. The entire thing runs on Claude Opus 4.8. I call it the AI Concierge. Clients pay me $1,500+ a month for two 45-minute calls where we build their AI systems live, on their screen. I have 4 clients. I'm capping at 6. Here's the entire model: 1) The intake form is the audit. A 10-minute JotForm (built by Claude) surfaces their time sinks and hands me 1-3 AI opportunities before call one. 2) Done-with-you, not done-for-you. They share their screen. We build skills, set up Cowork, and write context files together. They learn to drive. (Done-for-you is the upsell.) 3) Every session runs through AOA: Audit, Optimize, Automate. Fix the process first, then turn it into a skill. Automating chaos just gives you faster chaos. 4) Day one has to move the needle. We ship at least one skill or automation on call one. No first-call win, dead engagement. 5) Unlimited Voxer between calls. They send a voice message, I reply in under 12 business hours. A 24/7 partner, not a guy they see twice a month. 6) The Notion hub is the renewal mechanism. Every call logs a quantified list of what we built. "Call one: 2 skills, 3 context files, Cowork live" makes $1.5K a month a no-brainer. 7) I never fill Notion out by hand. Two Claude skills log the call, pull the action items, and draft the recap email. 30 seconds. 8) Pricing ladder: $1,000/month, then $1,500 at 2 clients, then $1,800. At $1,500 you're already at $1,000/hour. If everyone says yes then you're priced too low. Two things that make this work: 1) Build the fulfillment infrastructure once. An afternoon. Then it runs itself outside the calls. 2) The value must be visible. People renew what they can measure. Full breakdown below. Go watch.
Corey Ganim105,227 views • 5 months ago
I'm making over $10K a month selling AI services. I got there in under a year with a three-stage model: a free assessment, a paid assessment, and an AI Concierge retainer. My lowest paying client is $1,200 a month. My highest is $2,000. Here's the entire model: 1) Stage one: a free 15-minute mini assessment. One pain point, one prescribed fix. Do 1 to 3 max, purely for testimonials. 2) Stage two: the paid assessment. 45 minutes, 3 to 7 opportunities scored on effort vs impact, sold for $1,000 to $2,000. (I open sourced my paid assessment template. It's yours (free) at 3) Do the ROI math in their words. $250 an hour times 5 hours a week in email is $1,250 a week. Cut it to 1 hour and they can't argue. 4) Stage three: AI Concierge. Two 45-minute calls a month at $1,000 to $2,000. That's $750 to $1,250 an hour. 5) Add unlimited Voxer access. Feels like an AI expert in their pocket, so they pay top dollar. They barely use it. 6) Every call runs AOA: Audit, Optimize, Automate. Cut the 14-step process to 11, then turn it into a Claude skill. 7) Standardize on one ecosystem. Everything runs in Claude Cowork building Claude skills. No custom stack per client, no vendor lock-in. 8) Target owner-led service businesses doing $3M to $10M. Repetitive work, visible bottlenecks, real budget. 9) Your first client is in your phone. Text 10 business owners you know. 10 texts equals 5 to 6 free assessments, 2 to 3 paid, 1 concierge client. 10) Raise your price $250 with every yes. My next client won't be under $2,500 a month. Two things that make this work: 1) Boundaries are the offer. Free stops at the roadmap, concierge stops at two calls. Everything else is billed separately. 2) Every stage sells the next one. The free assessment promises seven more fixes. The paid report walkthrough pitches the retainer. Full breakdown below. (also available on the Build With AI podcast wherever you get your pods)
Corey Ganim60,377 views • 2 months ago
Karpathy dropped a viral post about building a "second brain" with AI. We built it live in under 20 minutes. The system: 1. Three folders: raw/ (brain dump), wiki/ (AI organizes it), outputs/ (query results) 2. One-click install: npx skills add NicholasSpisak/second-brain 3. Obsidian Web Clipper to capture any article with one click 4. Run "ingest" and the AI reads everything in raw/, builds wiki pages, and maps connections automatically 5. Query your own knowledge base like talking to an expert 6. Monthly lint command catches contradictions and gaps before they compound Day 1 it's basic. Day 90 it's a company asset nobody else has. Free skill in the YouTube description that scaffolds the whole thing in 60 seconds. Video below, YouTube link in the replies.
Corey Ganim128,845 views • 7 months ago
HOW TO MAKE $50K/MONTH SELLING MANAGED AI AGENTS (FULL COURSE) The model: sell managed AI agents to businesses for $5K/month each. You handle the infrastructure, they get an employee that never sleeps. 10 clients puts you at $50K MRR with 85%+ margins, run entirely by you and a fleet of agents. Nick Vasilescu is doing exactly this, and he came on the pod to walk through the whole playbook. Here's what I learned: 1. The arbitrage is that nobody knows this is possible. 99% of business owners are still asking ChatGPT what the weather is. One working agent hooks them on the spot. 2. Sell abundance. Unlimited agents, unlimited infrastructure. They don't care what an MCP is, they care that their problem is gone. 3. Don't niche too early. Say yes to everyone and let the market pull you. You find the niche by doing reps, not guessing. 4. Paid audit into managed service. Charge $1K to map every automation opportunity, then credit it toward month one. Qualifies the lead, makes the upsell a no-brainer. 5. First call, don't sell. Record it, map the workflow tip to tail, find the automation with the most value and least effort. Start there. 6. The stack is Hermes + Composio + Orgo. Composio connects all their apps in one click. Orgo spins up a working Hermes agent in 26 seconds. 7. Productize with a golden snapshot. Build one perfect agent, clone it, and every copy comes over one for one with auth intact. 8. Turn client call transcripts into skills in 10 minutes. Feed the recording to Claude Code, write the skill, port it to the client's agent via Orgo MCP. 9. Watchdogs make you look elite. Get alerted before the client notices anything broke. "Already fixed it" is why they keep paying you. 10. You become their guy. You drive more outcomes than their own employees, they credit every win to you, and churn drops to almost nothing. His 2 key takeaways: 1. Bet on cost going to zero. They launched unlimited tokens when it was barely profitable because they knew they'd capture the spread. Build for where the puck is going. 2. One client every six weeks gets you to $600K a year. The model isn't hard, it's just unevenly executed. That's the entire opportunity. Nick is crushing this model and we had a blast diving deep on how you can do the same. Go follow Nick Vasilescu Full video below. (Also available on the Build With AI podcast wherever you get your pods)
Corey Ganim85,723 views • 4 months ago
I analyzed 8 open source GitHub repos you can turn into a paying service (zero code required). Here's a breakdown of each one including a sample offer, pricing, and a link to the repo. Full video explains how I'd find clients (using Treg) and exactly who to target for each offer. 1. ListMonk: win-back emails for dentists, HVAC, and med spas with 2,000+ past customers. $750 setup + $400/mo 2. Postiz: 12-16 posts/mo in the client's voice for businesses with a dead feed. $250 setup + $500/mo 3. WhisperX: weekly call scorecards (booking rate, missed upsells, rep coaching) for home service shops. $500 setup + $500/mo 4. Pipecat: after-hours AI receptionist for plumbers, HVAC, locksmiths, towing. $1,500 setup + $400/mo 5. Docling: invoices auto-coded into QuickBooks for contractors and bookkeepers. $1,500 setup + $300/mo 6. ComfyUI: 7-image listing sets for Amazon and Shopify brands. $750 per set 7. Browser Use: daily permit portal tracker for builders, remodelers, pool and solar installers. $1,500 setup + $250/mo 8. Anthropic's finance repo: listing packs (teaser, marketing package, buyer list) for business brokers. $1,000 per pack I think the repo with the most potential is ListMonk. You could even position this offer as a rev share where you take a small cut of the leads you reactivate so the client has zero up front risk. I purposely made the pricing estimates for these offers super conservative, you could charge more for each of these for the right client (I've sold a version of #8 for $3,000). The main thing to remember for all of these: Your buyer DOES NOT CARE about AI or GitHub. They only care about the outcome.
Corey Ganim14,726 views • 20 days ago
This guy made $260K off one AI agent workflow. The whole thing runs on a virtual focus group of 13 AI personas trained to be his customers. He pastes any ad or sales page in, they critique it, the system rewrites it, and a prediction engine picks the winner before he spends a dollar on traffic. Justin Brooke ❤️🔥 came on the pod to walk us through it. Here's what I learned: 1) He built a virtual focus group. 13 AI personas critique your ad in parallel, a copywriter agent rewrites it three ways, a prediction engine picks the winner. 13 cents per run. 2) The accuracy is academically validated. Harvard, Stanford, and the NYT have published studies on this. NYT clocked it at 92% accuracy versus human focus groups. 3) Multiple personas beat one ICP. Every copy book preaches one persona. The math says otherwise. Same room of buyers has men, women, young, old, local, software. The mix is the point. 4) The personas are not prompts. They're 1,400 word dossiers with demographics, pain points, empathy maps, and decision making process. Skip the dossier work and you get garbage. 5) Wash everything before it ships. Every ad, sales page, LinkedIn post, tweet. A top 1% copywriter charges $500 an ad. This is 13 cents. 6) "Embody" beats "pretend" as a prompt verb. Machines hear "pretend" as fake-be-this-thing. They hear "embody" as become it. 7) The copywriter agent formats output like an internal team email. Quoted feedback, brief insights, three rewrites. Way more useful than the default AI report format. 8) Each persona votes yes or no on buying. His Black Friday offer scored 7 yeses out of 13. Did $36,000 in revenue. The nos were the wrong-fit personas anyway. 9) It doubles as a copywriting school. The rewrites sometimes contain bullets better than yours and you just steal them. Justin has 20 years in direct response and openly admits the AI catches him slipping. 10) Where to start: build the personas first. Take a weekend, use Claude deep research, write 5 to 13 real dossiers with empathy maps. The prompt is the easy part. His 2 key takeaways: 1) Prediction before deployment is the next layer of marketing. Just like we all added tracking to our ads, virtual testing before spend will be the new default. 2) The ROI is instant. SEO and content agents pay back in months. This one tells you tomorrow if your ad got better. Justin is doing this at a level most marketers are not. Go follow Justin Brooke ❤️🔥. Full video below. (Also available on the Build With AI podcast wherever you get your pods)
Corey Ganim84,491 views • 5 months ago
7 AI SERVICES BOOMER BUSINESSES ARE BEGGING TO BUY IN 2026 1) AI Tools Assessment: $999. One 45-minute interview, then a report with 3 to 7 off-the-shelf tools they can implement immediately. 50 to 60% convert into implementation. (grab the exact template I use to deliver the assessment at 2) AI Concierge: $1,000 to $2,000 a month for two 45-minute calls turning their manual processes into Claude skills. At $1,500 a month you're making $1,000 an hour. 3) Process Redesign: $3,500 to fix a broken workflow before you touch AI. One client went from 25 steps to 10. Never automate a broken process. 4) Automation Builds: $1,000 to $3,000 in Zapier or Make. One $1,500 build took a project manager out of client onboarding entirely. 5) Knowledge Systems: $3,000 baseline. A business broker went from 500 buyer emails per listing to 10 with one custom GPT. 6) Custom Workflows: $3,000 to $5,000. One client's 45-minute podcast workflow now runs off one orchestrator skill in 5 minutes. 7) Full Implementation: $5,000 to $10,000+ mixing everything above. Skills + automation builds + knowledge systems. Mix and match based on client needs. Two things that make this work: 1) The assessment is always the baseline. Start there and let it tell you what to sell next. 2) Anchor on hours saved, not hours worked. Nobody pays $1,000 an hour for your time. They pay it to get theirs back. Full breakdown below. (also available on the Build With AI podcast wherever you get your pods)
Corey Ganim49,298 views • 3 months ago