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Corey Ganim

@coreyganim48,919 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.

Shorts

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.

138,192 görüntüleme

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 görüntüleme

Videos

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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 Ganim

100,474 görüntüleme • 7 gün önce

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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 Ganim

55,765 görüntüleme • 19 gün önce

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