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Corey Ganim

@coreyganim • 55,724 subscribers

Simplifying AI for non-technical entrepreneurs. Built an eCom biz to $16 M+ revenue. Built (then sold) a coaching biz to $340 k ARR.

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I built an AI prospector that finds ugly yards, renders a landscaping upgrade into the photo, and mails the homeowner a personalized postcard showing the before/after, fully autonomous. here's how landscapers can close $8k-15k jobs with this system: - scans satellite imagery to find single-family homes with bare dirt yards - scores each property as upgrade-ready based on lot size, build year, and existing landscaping - renders a photorealistic landscaping upgrade into the actual yard (lawn, flagstone pathway, flower beds, hedges) - pulls the homeowner direct from ATTOM property records, confirms owner-occupied - calculates the ROI: $8,500 investment, +$38,500 home value lift, 217% return - generates and mails a 6x9 glossy postcard with the before/after render, ROI breakdown, and QR code via Lob every step from sourcing to outreach is automated. built it with Perplexity Computer in one session.

I built an AI prospector that finds ugly yards, renders a landscaping upgrade into the photo, and mails the homeowner a personalized postcard showing the before/after, fully autonomous. here's how landscapers can close $8k-15k jobs with this system: - scans satellite imagery to find single-family homes with bare dirt yards - scores each property as upgrade-ready based on lot size, build year, and existing landscaping - renders a photorealistic landscaping upgrade into the actual yard (lawn, flagstone pathway, flower beds, hedges) - pulls the homeowner direct from ATTOM property records, confirms owner-occupied - calculates the ROI: $8,500 investment, +$38,500 home value lift, 217% return - generates and mails a 6x9 glossy postcard with the before/after render, ROI breakdown, and QR code via Lob every step from sourcing to outreach is automated. built it with Perplexity Computer in one session.

138,607 views

Perplexity Computer in 60 seconds: 1. It's a cloud-based AI employee that runs tasks in the background. 2. 19 models working together. Claude for reasoning, GPT-5.2 for research, Grok for speed tasks. You don't pick. It routes automatically. 3. 400+ connectors. Gmail, Slack, Notion, Salesforce, HubSpot. One click to enable each. 4. Credits, not tokens. Simple tasks cost ~30. Complex builds cost 1,000+. Vague prompts waste them. Specific prompts save them. 5. Spaces = persistent project folders. Upload context once, every task inherits it. 6. Scheduled tasks run on autopilot. "Every Monday, prep my calendar." Set it and forget it. The PRD hack alone (in the article) will save you hundreds in credits. Full breakdown in the article below.

Perplexity Computer in 60 seconds: 1. It's a cloud-based AI employee that runs tasks in the background. 2. 19 models working together. Claude for reasoning, GPT-5.2 for research, Grok for speed tasks. You don't pick. It routes automatically. 3. 400+ connectors. Gmail, Slack, Notion, Salesforce, HubSpot. One click to enable each. 4. Credits, not tokens. Simple tasks cost ~30. Complex builds cost 1,000+. Vague prompts waste them. Specific prompts save them. 5. Spaces = persistent project folders. Upload context once, every task inherits it. 6. Scheduled tasks run on autopilot. "Every Monday, prep my calendar." Set it and forget it. The PRD hack alone (in the article) will save you hundreds in credits. Full breakdown in the article below.

106,105 views

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you are literally insane if you try to sell anything other than this if you're brand new to AI services

566,253 views • 1 month ago

The clearest explanation of Claude Managed Agents you'll find. Everyone's talking about it. Nobody's explaining it well. In 12 minutes we cover: - What it actually is (platform as a service for AI agents) - Who it's for and who should avoid it (4 personas) - Live console walkthrough (sessions, analytics, costs) - Real cost breakdown ($2.58 to fulfill a $1,000 service) We also built a free Google Doc that deploys your first managed agent when you hand it to Claude Code. You can grab it in the podcast show notes (Build With AI podcast) or YouTube description (video link below).

The clearest explanation of Claude Managed Agents you'll find. Everyone's talking about it. Nobody's explaining it well. In 12 minutes we cover: - What it actually is (platform as a service for AI agents) - Who it's for and who should avoid it (4 personas) - Live console walkthrough (sessions, analytics, costs) - Real cost breakdown ($2.58 to fulfill a $1,000 service) We also built a free Google Doc that deploys your first managed agent when you hand it to Claude Code. You can grab it in the podcast show notes (Build With AI podcast) or YouTube description (video link below).

775,977 views • 3 months ago

I charge $999 to ask a business owner questions for 45 minutes. Then Claude does the analysis in 5 minutes. I call it the AI Tools Assessment. It finds 3 to 7 off-the-shelf tools that reclaim 5 to 10 hours a week, and it's the front door to upsells from $3,500 projects to $2,000/month retainers. Here's the entire model: 1) The discovery call is questions only. "Walk me through yesterday." "What tasks do you dread?" "Where does work pile up?" No pitching. A free AI notetaker captures the transcript. 2) Claude runs the entire analysis. Paste the transcript, run one skill, and it pulls the pain points and prescribes the tools in about 5 minutes. It catches patterns you missed on the call. 3) When Claude whiffs on a tool, and fill the gaps. Thousands of tools, grouped by industry. 4) The report is 9 slides. Executive summary, effort vs impact matrix, tool recommendations, a 4-day quick win plan, and the financial impact. I open sourced the template free at 5) I go for the close on the review call. Three questions: which of these is most urgent, do you want to DIY or get help, and what's your timeline? 50 to 60% of clients ask you to implement it for them. 6) Process redesign sells for $3,500 with zero automation. One e-commerce client had an 18-step ad workflow. We cut it to 9 steps. Fixed the process, didn't touch AI, charged $3,500. 7) Knowledge systems are $3K builds. A business broker got 400 emails per listing. We trained a custom GPT on the marketing package, and buyers called it the best broker experience they've had. 8) You don't need an audience to sell this. One guy walked into 30 local businesses offering a free 15-minute mini assessment. 5 meetings, 2 clients. The free mini assessment is the hook for every channel. 9) Co-working spaces are the cheat code. Dennis in our community hosted his first free AI office hours this week. 9 people showed up, 2 became warm leads. 10) AI Concierge is the best upsell of all. Two 45-minute calls a month at $1,200 to $2,000. I have 5 clients and my blended rate is about $1,100 an hour at 99.9% net margin. Two things that make this work: 1) Sell the diagnosis before the cure. The $999 assessment is a paid discovery call that qualifies the buyer and tees up every upsell on the menu. 2) High perceived value can cost you nothing. Unlimited Voxer access sells the retainer. In 3 months across 5 clients I've gotten 4 messages. Full breakdown below. watch, implement, make money. (also available on the Build With AI podcast wherever you get your pods)

I charge $999 to ask a business owner questions for 45 minutes. Then Claude does the analysis in 5 minutes. I call it the AI Tools Assessment. It finds 3 to 7 off-the-shelf tools that reclaim 5 to 10 hours a week, and it's the front door to upsells from $3,500 projects to $2,000/month retainers. Here's the entire model: 1) The discovery call is questions only. "Walk me through yesterday." "What tasks do you dread?" "Where does work pile up?" No pitching. A free AI notetaker captures the transcript. 2) Claude runs the entire analysis. Paste the transcript, run one skill, and it pulls the pain points and prescribes the tools in about 5 minutes. It catches patterns you missed on the call. 3) When Claude whiffs on a tool, and fill the gaps. Thousands of tools, grouped by industry. 4) The report is 9 slides. Executive summary, effort vs impact matrix, tool recommendations, a 4-day quick win plan, and the financial impact. I open sourced the template free at 5) I go for the close on the review call. Three questions: which of these is most urgent, do you want to DIY or get help, and what's your timeline? 50 to 60% of clients ask you to implement it for them. 6) Process redesign sells for $3,500 with zero automation. One e-commerce client had an 18-step ad workflow. We cut it to 9 steps. Fixed the process, didn't touch AI, charged $3,500. 7) Knowledge systems are $3K builds. A business broker got 400 emails per listing. We trained a custom GPT on the marketing package, and buyers called it the best broker experience they've had. 8) You don't need an audience to sell this. One guy walked into 30 local businesses offering a free 15-minute mini assessment. 5 meetings, 2 clients. The free mini assessment is the hook for every channel. 9) Co-working spaces are the cheat code. Dennis in our community hosted his first free AI office hours this week. 9 people showed up, 2 became warm leads. 10) AI Concierge is the best upsell of all. Two 45-minute calls a month at $1,200 to $2,000. I have 5 clients and my blended rate is about $1,100 an hour at 99.9% net margin. Two things that make this work: 1) Sell the diagnosis before the cure. The $999 assessment is a paid discovery call that qualifies the buyer and tees up every upsell on the menu. 2) High perceived value can cost you nothing. Unlimited Voxer access sells the retainer. In 3 months across 5 clients I've gotten 4 messages. Full breakdown below. watch, implement, make money. (also available on the Build With AI podcast wherever you get your pods)

48,217 views • 10 days 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)

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)

105,458 views • 1 month 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)

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)

84,747 views • 1 month ago

I just built an AI agent in under 10 minutes using Claude Cowork. It knows my business. It connects to my tools. It has memory. I'm packaging the full step-by-step process into something. More soon.

I just built an AI agent in under 10 minutes using Claude Cowork. It knows my business. It connects to my tools. It has memory. I'm packaging the full step-by-step process into something. More soon.

227,220 views • 4 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.

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.

103,805 views • 1 month ago

Someone’s gonna make $1,000,000 in 2026 with this AI business model (Full model explained + how to find clients) 👇

Someone’s gonna make $1,000,000 in 2026 with this AI business model (Full model explained + how to find clients) 👇

123,881 views • 2 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).

$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).

143,317 views • 3 months 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)

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)

83,916 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.

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.

128,710 views • 3 months ago

This is how a $999 AI audit becomes a $2,500 service overnight. What I'd build with Fable 5 on Hyperagent: an interactive audit deliverable. The play: 1. Run your normal 45-min discovery call. Ask "where does your time go?" 2. Hand the transcript to Fable 5 on Hyperagent. It loops unsupervised and builds a live map of the client's entire operation. 3. Every process animated. Time sinks pulsing red. Dollar leaks counted in real time on screen. 4. Walk the client through THEIR business bleeding money. Toggle the "after automation" view. Watch the leaks stop. 5. The roadmap sells itself. Upsell the $2,500-5,000 implementation on the spot. Same audit. Same call. The deliverable went from a 6-page PDF to something the client screen-records and sends to their business partner. Built the demo below in one prompt while I walked my dog. #HyperagentPartner

This is how a $999 AI audit becomes a $2,500 service overnight. What I'd build with Fable 5 on Hyperagent: an interactive audit deliverable. The play: 1. Run your normal 45-min discovery call. Ask "where does your time go?" 2. Hand the transcript to Fable 5 on Hyperagent. It loops unsupervised and builds a live map of the client's entire operation. 3. Every process animated. Time sinks pulsing red. Dollar leaks counted in real time on screen. 4. Walk the client through THEIR business bleeding money. Toggle the "after automation" view. Watch the leaks stop. 5. The roadmap sells itself. Upsell the $2,500-5,000 implementation on the spot. Same audit. Same call. The deliverable went from a 6-page PDF to something the client screen-records and sends to their business partner. Built the demo below in one prompt while I walked my dog. #HyperagentPartner

54,552 views • 1 month ago

Nick Huber (Nick Huber) installed 7 AI tools across his companies. He kept 2. Fathom and Zapier. Got rid of the rest. His take: "Every Fortune 500 CEO is running around saying 'we need AI.' You ask them to do what? They don't know." His electricity bill in Athens, Georgia is up 60% since 2023. Six increases in 24 months. 20+ data centers under construction in the region. His math: ChatGPT should cost $250/month if it weren't subsidized by VC money. Meanwhile, a 19-year-old bought a bulldozer, started a land clearing business, and cashed a $15,000 check in 6 weeks. 99.9% of AI startups will never make $15,000 in revenue. His full breakdown on why the bubble will pop, what actually works in business, and why he thinks luck is only 10% of success in the video below: (also available on the Build With AI podcast anywhere you get your pods)

Nick Huber (Nick Huber) installed 7 AI tools across his companies. He kept 2. Fathom and Zapier. Got rid of the rest. His take: "Every Fortune 500 CEO is running around saying 'we need AI.' You ask them to do what? They don't know." His electricity bill in Athens, Georgia is up 60% since 2023. Six increases in 24 months. 20+ data centers under construction in the region. His math: ChatGPT should cost $250/month if it weren't subsidized by VC money. Meanwhile, a 19-year-old bought a bulldozer, started a land clearing business, and cashed a $15,000 check in 6 weeks. 99.9% of AI startups will never make $15,000 in revenue. His full breakdown on why the bubble will pop, what actually works in business, and why he thinks luck is only 10% of success in the video below: (also available on the Build With AI podcast anywhere you get your pods)

68,419 views • 3 months ago

This guy runs his entire marketing department out of folders and markdown files. No code or crazy automations. He calls it CMOHQ, it works with any AI (Claude, ChatGPT, Hermes, Codex), and he sells the whole thing as a zip file. He went 3 weeks without opening his laptop and the business kept running. Justin Brooke ❤️‍🔥 is back on the pod to walk us through the entire system. Here's what I learned: 1. The whole OS is folders and markdown files. He tried n8n, LangChain, and CrewAI. Too technical for a copywriter. 2. One HQ folder for who you are. One folder per brand with intelligence, departments, and metrics inside. Say "work in the FaithFunnels brand" and Claude switches context. 3. He built the finance folder from a YouTube transcript. It ingests ThriveCart, Kit, Google Ads, and Zeni exports and auto-generates max CPA, spend ceilings, and dashboards. 4. Build it in iCloud, not on a Mac Mini. It's just text files. Phone, laptop, office, same brain. 5. Nothing skips the pipeline. Pope mentions "digital sobriety," Claude writes the article, he approves, it publishes to Ghost via MCP with an ElevenLabs audio version. 6. Reporting is wired in through MCPs. Kit, Google Analytics, Microsoft Clarity. Clicks to leads to sales, plus a monthly P&L drop. 7. He uses Claude Cowork, not Claude Code. 90% of the features, and his work is mostly writing anyway. 8. Start with Jobs To Be Done. Every job becomes a folder. Every folder gets instructions. 9. Delivery is the product. The zip holds an ops manual and an installer.md that interviews the buyer and builds their system. Zero onboarding calls. 10. If they want to build it themselves, they're not your customer. Millionaires look at the system and say "can I just pay you?" His 2 key takeaways: 1. Every agent needs three things: memory, instructions, and tools. Get those right and you can replicate any process in any business. 2. Stop doing sales calls on the fly. Run a slide deck, tweak one slide per call, and by call five it's dialed in and trainable. That's how you get out of sales. Justin has been marketing for 20 years and this is the simplest AI operating system I've seen. Go follow Justin Brooke ❤️‍🔥 Full video below. (Also available on the Build With AI podcast wherever you get your pods)

13,753 views • 17 days ago

How I'm making $1,000/hour as an AI Concierge: (full model explained 👇)

How I'm making $1,000/hour as an AI Concierge: (full model explained 👇)

39,851 views • 2 months ago

$Tom Crawshaw has been building automations for 9 years with $25 million in client revenue to his name. He just walked me through his Claude Code content system that's generating millions of views and tens of thousands of followers. Here's what I learned: 1. Skills beat Projects in Claude. Projects load every context file on every message and burn your token window. Skills work like a book where the LLM reads the table of contents and pulls only the chapter it needs for the job. Same context, fraction of the tokens. 2. He has a /content-create slash command that runs the entire pipeline. Voice profile, copywriting principles, hook generation, image direction. One command. He doesn't write anything from scratch anymore. 3. His voice profile auto-updates weekly. He wrote a script that hits the X API every 7 days, pulls his top-performing posts by engagement, and rewrites his voice profile based on what's actually working. The profile evolves on its own. 4. He distilled a master copywriter's entire body of work into a single markdown file. Grabbed every Alen Sultanic post he could find, dropped it into Claude, asked for the core principles, fed it into the skill. Now every post he writes runs through those principles automatically. 5. The hook generator scores 16 hooks per post against 7 criteria. Curiosity loops, specificity, sensory, credibility, voice match, and a couple of others. He never picks the #1 by default. Sometimes he splices the first line of one hook with the body of another. The taste is still his. 6. /insights is a native Claude Code command nobody talks about. It analyzes every session you've ever run and produces a full report on your usage patterns, where things break down, and prompts you can paste back into Claude to fix them. I had never heard of it. I'm running it tonight. 7. He spends most of his time on hooks and images. If those two suck, the body copy doesn't matter. Nobody reads it. 8. Image generation is never one-shot. He keeps a folder of reference images that have worked before and feeds them into Nano Banana/GPT Image 2 every time. Then he takes the 80-90% output and finishes it in Canva using "magic grab" to move logos and clean up text. Last mile is human every time. 9. The humanizer step is non-negotiable. Strip em dashes. Kill the "it's not X, it's Y" pattern. Cut the triple negatives. Cut "no fluff." He still has to remind Claude mid-session because it drifts. If you're not auditing for AI tells, you're shipping slop. 10. Wisprflow is the most important tool in his stack. Not a content tool. An everything tool. His test for whether you should be using it: do you talk faster than you type? You do. Everyone does. Bonus fact he dropped: QWERTY was designed 200 years ago to slow typing down so old typewriters wouldn't jam. We've been carrying that forward ever since. Voice is finally undoing it. This was an inside look at how a serious operator Tom is using Claude Code to run a content engine. The good, the bad, the iteration, all of it. I hope you enjoy this one as much as I did. Go watch it.$

Tom Crawshaw has been building automations for 9 years with $25 million in client revenue to his name. He just walked me through his Claude Code content system that's generating millions of views and tens of thousands of followers. Here's what I learned: 1. Skills beat Projects in Claude. Projects load every context file on every message and burn your token window. Skills work like a book where the LLM reads the table of contents and pulls only the chapter it needs for the job. Same context, fraction of the tokens. 2. He has a /content-create slash command that runs the entire pipeline. Voice profile, copywriting principles, hook generation, image direction. One command. He doesn't write anything from scratch anymore. 3. His voice profile auto-updates weekly. He wrote a script that hits the X API every 7 days, pulls his top-performing posts by engagement, and rewrites his voice profile based on what's actually working. The profile evolves on its own. 4. He distilled a master copywriter's entire body of work into a single markdown file. Grabbed every Alen Sultanic post he could find, dropped it into Claude, asked for the core principles, fed it into the skill. Now every post he writes runs through those principles automatically. 5. The hook generator scores 16 hooks per post against 7 criteria. Curiosity loops, specificity, sensory, credibility, voice match, and a couple of others. He never picks the #1 by default. Sometimes he splices the first line of one hook with the body of another. The taste is still his. 6. /insights is a native Claude Code command nobody talks about. It analyzes every session you've ever run and produces a full report on your usage patterns, where things break down, and prompts you can paste back into Claude to fix them. I had never heard of it. I'm running it tonight. 7. He spends most of his time on hooks and images. If those two suck, the body copy doesn't matter. Nobody reads it. 8. Image generation is never one-shot. He keeps a folder of reference images that have worked before and feeds them into Nano Banana/GPT Image 2 every time. Then he takes the 80-90% output and finishes it in Canva using "magic grab" to move logos and clean up text. Last mile is human every time. 9. The humanizer step is non-negotiable. Strip em dashes. Kill the "it's not X, it's Y" pattern. Cut the triple negatives. Cut "no fluff." He still has to remind Claude mid-session because it drifts. If you're not auditing for AI tells, you're shipping slop. 10. Wisprflow is the most important tool in his stack. Not a content tool. An everything tool. His test for whether you should be using it: do you talk faster than you type? You do. Everyone does. Bonus fact he dropped: QWERTY was designed 200 years ago to slow typing down so old typewriters wouldn't jam. We've been carrying that forward ever since. Voice is finally undoing it. This was an inside look at how a serious operator Tom is using Claude Code to run a content engine. The good, the bad, the iteration, all of it. I hope you enjoy this one as much as I did. Go watch it.

36,120 views • 2 months ago

🚨 BREAKING: 7-figure SaaS founder (Craig Hewitt) open-sourced his entire Claude Code marketing system. It's called SEO Machine (seomachine. io): → Research a keyword → Analyze competitors → Write a full article → All with one command Free to download. Just add your context files. Full breakdown of how he uses Claude Code for SEO, marketing, and content on the Build With AI podcast (full video below). Podcast also available on YouTube/your fav podcast platform.

🚨 BREAKING: 7-figure SaaS founder (Craig Hewitt) open-sourced his entire Claude Code marketing system. It's called SEO Machine (seomachine. io): → Research a keyword → Analyze competitors → Write a full article → All with one command Free to download. Just add your context files. Full breakdown of how he uses Claude Code for SEO, marketing, and content on the Build With AI podcast (full video below). Podcast also available on YouTube/your fav podcast platform.

54,463 views • 4 months ago

I tested Perplexity Computer vs Claude Cowork head to head. Same prompts. Same tasks. 3 rounds. → Competitive research into a client deliverable → Extracting clean data from 10 messy files → Building a polished PDF report from scratch One costs $200/mo. The other costs $20. One of them is not worth the price. The other might be the best deal in AI right now. Full breakdown on the Build With AI podcast/YouTube (and in the video below).

I tested Perplexity Computer vs Claude Cowork head to head. Same prompts. Same tasks. 3 rounds. → Competitive research into a client deliverable → Extracting clean data from 10 messy files → Building a polished PDF report from scratch One costs $200/mo. The other costs $20. One of them is not worth the price. The other might be the best deal in AI right now. Full breakdown on the Build With AI podcast/YouTube (and in the video below).

52,016 views • 4 months ago

After 8.5 years I am drawing my Amazon selling career to a close. Please watch this video. It explains everything. If you're interested in the offer mentioned in the video, I've included a link to it in the next tweet. Post coming soon on what's next for me. Love yall ❤️

After 8.5 years I am drawing my Amazon selling career to a close. Please watch this video. It explains everything. If you're interested in the offer mentioned in the video, I've included a link to it in the next tweet. Post coming soon on what's next for me. Love yall ❤️

76,847 views • 9 months ago

I’m giving away the full template that I use to deliver my $999 AI Assessment reports. Completely free. I just rebuilt it from the ground up in Claude Design. -Download the free template -Ask Claude Design to "import it as-is" -fill in with your client details This video explains exactly how to upload the template to Claude Design and how to position each section of the report. Download it at

I’m giving away the full template that I use to deliver my $999 AI Assessment reports. Completely free. I just rebuilt it from the ground up in Claude Design. -Download the free template -Ask Claude Design to "import it as-is" -fill in with your client details This video explains exactly how to upload the template to Claude Design and how to position each section of the report. Download it at

20,311 views • 1 month ago