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Before we automate a workflow, we always audit the client's current process. This client used 17 steps to pay one invoice. For them, that was a simple workflow. The audit took 2 to 3 weeks of interviews and process mining. After the redesign: - 17 steps to 7 -... show more

The Startup Ideas Podcast (SIP) 🧃

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28,181 görüntüleme • 25 gün önce •via X (Twitter)

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Andrea Macrì profil fotoğrafı

Andrea Macrì25 gün önce

Where is the course?

pml3 profil fotoğrafı

pml325 gün önce

This isn't new. Most enterprise IDP tools run this out of the box. We set this process up with Tungsten(Kofax) TotalAgility because the client was already licensed for it. Solves the same problem and is secure Easier buy-in. No interviews needed. Exactly what the client wants.

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Thomas Truszkowski | AI Geek (sarcasm included)25 gün önce

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Asmir25 gün önce

once it's 7 steps the agent has fewer places to be wrong, so the audit is also what makes the automation safe to trust

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How does an FDE audit a real workflow? We did one for a $5B public software company with 150+ products. Step 1: Read their process document. - Theirs had 7 steps: build the quote, submit, Deal Desk, approve, send, negotiate, sign. Step 2: Interview more than one person. - One person can tell you the wrong story. Step 3: Put process mining agents on the CRM. The agents found 20 steps and 7 loops. - 61% of requests go from step four or five back to step one. - Legal sends the request back 12% of the time. - 30% of the time, a new quote must get approval again. Step 4: Map the real workflow. - 4 of our deployed engineers did this. - The CRO and CFOs told us, "I feel like you understand our department better than we do." Before this map, no one in the department had seen the workflow this clearly. Do this audit before you use AI, so you know which process is broken.

How does an FDE audit a real workflow? We did one for a $5B public software company with 150+ products. Step 1: Read their process document. - Theirs had 7 steps: build the quote, submit, Deal Desk, approve, send, negotiate, sign. Step 2: Interview more than one person. - One person can tell you the wrong story. Step 3: Put process mining agents on the CRM. The agents found 20 steps and 7 loops. - 61% of requests go from step four or five back to step one. - Legal sends the request back 12% of the time. - 30% of the time, a new quote must get approval again. Step 4: Map the real workflow. - 4 of our deployed engineers did this. - The CRO and CFOs told us, "I feel like you understand our department better than we do." Before this map, no one in the department had seen the workflow this clearly. Do this audit before you use AI, so you know which process is broken.

The Startup Ideas Podcast (SIP) 🧃

10,078 görüntüleme • 29 gün önce

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!

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 Ganim

71,218 görüntüleme • 1 ay önce

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)

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 Ganim

49,298 görüntüleme • 2 ay önce

Most people sell one AI service and cap their income there. Here's the upsell menu that turns a $999 client into an $8K one: - Process redesign: Cut a broken 16-step process down to 7. No automation yet. $3,000–$3,500. - Automation build: A simple Zapier or Make flow for cut-and-dry tasks. ~$1,500. - Knowledge system: Train a custom GPT on their docs. - Custom workflow: Build Claude skills for their proprietary process. Bolt on a monthly retainer to maintain them. - Full implementation: Any combination of the above. ~$8,000. The $999 assessment is just the door. Everything after it is the real money.

Most people sell one AI service and cap their income there. Here's the upsell menu that turns a $999 client into an $8K one: - Process redesign: Cut a broken 16-step process down to 7. No automation yet. $3,000–$3,500. - Automation build: A simple Zapier or Make flow for cut-and-dry tasks. ~$1,500. - Knowledge system: Train a custom GPT on their docs. - Custom workflow: Build Claude skills for their proprietary process. Bolt on a monthly retainer to maintain them. - Full implementation: Any combination of the above. ~$8,000. The $999 assessment is just the door. Everything after it is the real money.

The Startup Ideas Podcast (SIP) 🧃

12,622 görüntüleme • 3 ay önce

Most kids only see the fish when it hits the plate. Today, the boys learned what happens BEFORE that. After fishing, we taught them how to properly skin and fillet a catfish. Some of the boys even got hands-on and did it themselves with men there walking them through the process. It ain’t the prettiest part of getting food on the table, but that’s the point. They need to understand where food comes from and the work that happens before we get to enjoy it. Another life skill in the toolbox.

Most kids only see the fish when it hits the plate. Today, the boys learned what happens BEFORE that. After fishing, we taught them how to properly skin and fillet a catfish. Some of the boys even got hands-on and did it themselves with men there walking them through the process. It ain’t the prettiest part of getting food on the table, but that’s the point. They need to understand where food comes from and the work that happens before we get to enjoy it. Another life skill in the toolbox.

King Randall, I.

41,635 görüntüleme • 27 gün önce

My cousins and my brother and I were exploring Coney Island, we saw the sights, hung out at the arcades and before we went back to the apartment we decided to go and get something to eat, we had some money on us but not much so we decided to see what we could get at one of the vendors. This was back in the early 90’s when most of them had dollar slices of pizza wherever we went. So we got 4 pieces of pizza, should have been $4 because that’s the price we were used to. The guy wanted to charge us $24 at $6 a slice. We argues with him because one of my cousins already took a bite being so hungry. But at the least we owed $4. We gave the other slices back and refused them but had to pay for the partially eaten one, it was embarrassing that an adult would try that on a bunch of kids. We told our uncle what happened and he went back and yelled at the vendor. He was familiar with them because he used to get slices all the time from the same guy and he never charged my uncle that price. I couldn’t imagine paying that exurban amount, like this guy who was being charged $54 for a hotdog by one of the vendors. At first he thought it was a typo and it was $5.40 but the vendor. Learned it up when he said no it was $54. Would you have paid that amount? I would have walked away, clearly he was trying to possibly scam a the man for looking like a tourist. Part of the experience when visiting a new area is the street food but it’s becoming more and more a chore avoiding places like this.

My cousins and my brother and I were exploring Coney Island, we saw the sights, hung out at the arcades and before we went back to the apartment we decided to go and get something to eat, we had some money on us but not much so we decided to see what we could get at one of the vendors. This was back in the early 90’s when most of them had dollar slices of pizza wherever we went. So we got 4 pieces of pizza, should have been $4 because that’s the price we were used to. The guy wanted to charge us $24 at $6 a slice. We argues with him because one of my cousins already took a bite being so hungry. But at the least we owed $4. We gave the other slices back and refused them but had to pay for the partially eaten one, it was embarrassing that an adult would try that on a bunch of kids. We told our uncle what happened and he went back and yelled at the vendor. He was familiar with them because he used to get slices all the time from the same guy and he never charged my uncle that price. I couldn’t imagine paying that exurban amount, like this guy who was being charged $54 for a hotdog by one of the vendors. At first he thought it was a typo and it was $5.40 but the vendor. Learned it up when he said no it was $54. Would you have paid that amount? I would have walked away, clearly he was trying to possibly scam a the man for looking like a tourist. Part of the experience when visiting a new area is the street food but it’s becoming more and more a chore avoiding places like this.

SonnyBoy🇺🇸

362,822 görüntüleme • 3 ay önce

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

Corey Ganim

55,321 görüntüleme • 4 ay önce

AOC: We get to these extremes through these small erosions and steps. When everyone says makes an exception here or makes an exception there, and then before you know it, you have masked agents roaming the streets of this country that do not feel entitled to identify themselves or do not feel like as though they answer to the American people at all. That is dangerous. It does not go without saying that the people that they went after first are some of the most vulnerable activists in the United States, which is to say, pro-palestinian organizers and young people, especially those who who are on green cards or visas… And the idea that we would allow our freedom of speech to be violated and create exceptions to that for people who are advocating for the lives of Palestinians, it erodes at the very core of American identity, too, because this is a land of the free, but only as long as we defend it and make it so

AOC: We get to these extremes through these small erosions and steps. When everyone says makes an exception here or makes an exception there, and then before you know it, you have masked agents roaming the streets of this country that do not feel entitled to identify themselves or do not feel like as though they answer to the American people at all. That is dangerous. It does not go without saying that the people that they went after first are some of the most vulnerable activists in the United States, which is to say, pro-palestinian organizers and young people, especially those who who are on green cards or visas… And the idea that we would allow our freedom of speech to be violated and create exceptions to that for people who are advocating for the lives of Palestinians, it erodes at the very core of American identity, too, because this is a land of the free, but only as long as we defend it and make it so

Acyn

37,566 görüntüleme • 1 yıl önce

To celebrate the release of the Araxys skin, here is my anim process for it. We went through many iterations for the anim until we found one that looks and feels the best for this skin. Props to the vfx and audio for making this gun shine. VALORANT

To celebrate the release of the Araxys skin, here is my anim process for it. We went through many iterations for the anim until we found one that looks and feels the best for this skin. Props to the vfx and audio for making this gun shine. VALORANT

Billy Vu Lam

723,912 görüntüleme • 3 yıl önce

It’s moving season for many of our service members. We understand that the process is difficult and needs to be fixed. That’s why we are overhauling the PCS process to make it easier for our service members and their families.

It’s moving season for many of our service members. We understand that the process is difficult and needs to be fixed. That’s why we are overhauling the PCS process to make it easier for our service members and their families.

Secretary of War Pete Hegseth

648,545 görüntüleme • 1 yıl önce

I'm excited to share The Hardest Part - our first campaign that celebrates Opendoor’s mission to tilt the world in favor of homeowners. A home holds birthdays, first steps, late nights, quiet mornings. Selling it isn’t just a transaction. It’s a goodbye to a chapter of your life. We make the process simple, so the only hard part left is saying goodbye.

I'm excited to share The Hardest Part - our first campaign that celebrates Opendoor’s mission to tilt the world in favor of homeowners. A home holds birthdays, first steps, late nights, quiet mornings. Selling it isn’t just a transaction. It’s a goodbye to a chapter of your life. We make the process simple, so the only hard part left is saying goodbye.

Morgan Brown

59,952 görüntüleme • 8 ay önce

Today, Box is announcing major new AI agent capabilities to let customers tap into the full value of their unstructured data. First, we’re announcing all new updates to the Box AI Studio to make it even easier to build AI agents that tap into your enterprise content for any job function, business process, or industry specific use case. We are also expanding our set of foundational agents that customers will be able to use to work with their enterprise content, including new features like search and research on unstructured data. Next, we’re announcing Box Extract to enable customers to use AI agents seamlessly for complex data extraction from any type of document or content. This makes it easier than ever to pull out data from contracts, invoices, research data, marketing assets, medical charts, and more. Finally, we’re introducing Box Automate, a new workflow automation solution within Box that lets you deploy AI agents across enterprise content-centric workflows. With Box Automate, you can design your business process in a simple drag and drop builder and then drop in AI agents at any step in the process. This ensures agents execute tasks at the right steps in a workflow every time. Best of all, our AI agents and workflow tools are designed to work across any system our customers work within, whether it’s leveraging pre-built integrations, Box APIs, or the new Box MCP Server. Ultimately, all of these capabilities come together to transform how companies can work with their enterprise content. Software has historically only been good at automating work that deals with structured data, which is why ERP, CRM, and HR systems have been mainstays of enterprise software for so long. The data in these systems fits neatly into a database, and the workflows are very ripe for automation. But it turns out most of the work in the world deals with unstructured data. It’s ideating through research documents, working with a client on contracts, reviewing details for a new product launch, looking at a patient’s healthcare record to make a diagnosis, working through due diligence documents for an M&A deal, and so on. For the first time ever, we can begin to bring all new insights and automation to this work with AI agents. At Box, we’re incredibly excited to be on this journey to help customers transform how they work with their most important data.

Today, Box is announcing major new AI agent capabilities to let customers tap into the full value of their unstructured data. First, we’re announcing all new updates to the Box AI Studio to make it even easier to build AI agents that tap into your enterprise content for any job function, business process, or industry specific use case. We are also expanding our set of foundational agents that customers will be able to use to work with their enterprise content, including new features like search and research on unstructured data. Next, we’re announcing Box Extract to enable customers to use AI agents seamlessly for complex data extraction from any type of document or content. This makes it easier than ever to pull out data from contracts, invoices, research data, marketing assets, medical charts, and more. Finally, we’re introducing Box Automate, a new workflow automation solution within Box that lets you deploy AI agents across enterprise content-centric workflows. With Box Automate, you can design your business process in a simple drag and drop builder and then drop in AI agents at any step in the process. This ensures agents execute tasks at the right steps in a workflow every time. Best of all, our AI agents and workflow tools are designed to work across any system our customers work within, whether it’s leveraging pre-built integrations, Box APIs, or the new Box MCP Server. Ultimately, all of these capabilities come together to transform how companies can work with their enterprise content. Software has historically only been good at automating work that deals with structured data, which is why ERP, CRM, and HR systems have been mainstays of enterprise software for so long. The data in these systems fits neatly into a database, and the workflows are very ripe for automation. But it turns out most of the work in the world deals with unstructured data. It’s ideating through research documents, working with a client on contracts, reviewing details for a new product launch, looking at a patient’s healthcare record to make a diagnosis, working through due diligence documents for an M&A deal, and so on. For the first time ever, we can begin to bring all new insights and automation to this work with AI agents. At Box, we’re incredibly excited to be on this journey to help customers transform how they work with their most important data.

Aaron Levie

91,863 görüntüleme • 1 yıl önce

"It's the dumbest thing I've ever heard, but we have to take it through the league process to get that changed." Kerr wants to see rule a change after the Rockets went at Steph's thumb all night

"It's the dumbest thing I've ever heard, but we have to take it through the league process to get that changed." Kerr wants to see rule a change after the Rockets went at Steph's thumb all night

Warriors on NBCS

1,217,328 görüntüleme • 1 yıl önce

HERMES AGENT /LEARN IS ONE OF THE MOST UNDERRATED FEATURE. SHOW IT A WORKFLOW ONCE. IT SAVES THE SKILL. REPEATS IT FOREVER WITHOUT RE-EXPLAINING. you publish a YouTube video: write the title, create the thumbnail, write the description, set tags, schedule it. do it once with Hermes watching. type /learn. Hermes distills that workflow into a reusable skill. next time you say "publish this video," the agent follows the exact same steps. no re-explaining. no missed steps. WHAT YOU CAN TEACH IT: → show it your publishing workflow → /learn → give it an article → /learn → walk it through a client onboarding process → /learn → feed it API documentation → /learn → show it how you process invoices → /learn anything you do more than twice should become a /learn skill. THREE WAYS TO USE /LEARN: from a workflow you walked through: do the task once in chat. then /learn. Hermes extracts the procedure from the conversation. from a directory: /learn ~/docs/youtube-publishing/ reads every file. creates the skill. from a URL: /learn https:// any-documentation-page. com reads the page. distills the skill. the skill saves to ~/.hermes/skills/ with a SKILL.md containing: → when to trigger → step-by-step procedure → pitfalls to avoid → verification steps available as a slash command from that moment. WHY THIS CHANGES DAILY WORK: before /learn: you explain the same process to the agent every time you start a new session. session ends. context lost. start over. after /learn: you explain once. the skill persists. every future session already knows the procedure. the agent follows it without prompting. the boring repetitive tasks you do every week become one-command skills you never think about again. comment LEARN and I'll send you the full guide on turning any workflow into a permanent Hermes skill. full Hermes architecture deep-dive in the article 👇

HERMES AGENT /LEARN IS ONE OF THE MOST UNDERRATED FEATURE. SHOW IT A WORKFLOW ONCE. IT SAVES THE SKILL. REPEATS IT FOREVER WITHOUT RE-EXPLAINING. you publish a YouTube video: write the title, create the thumbnail, write the description, set tags, schedule it. do it once with Hermes watching. type /learn. Hermes distills that workflow into a reusable skill. next time you say "publish this video," the agent follows the exact same steps. no re-explaining. no missed steps. WHAT YOU CAN TEACH IT: → show it your publishing workflow → /learn → give it an article → /learn → walk it through a client onboarding process → /learn → feed it API documentation → /learn → show it how you process invoices → /learn anything you do more than twice should become a /learn skill. THREE WAYS TO USE /LEARN: from a workflow you walked through: do the task once in chat. then /learn. Hermes extracts the procedure from the conversation. from a directory: /learn ~/docs/youtube-publishing/ reads every file. creates the skill. from a URL: /learn https:// any-documentation-page. com reads the page. distills the skill. the skill saves to ~/.hermes/skills/ with a SKILL.md containing: → when to trigger → step-by-step procedure → pitfalls to avoid → verification steps available as a slash command from that moment. WHY THIS CHANGES DAILY WORK: before /learn: you explain the same process to the agent every time you start a new session. session ends. context lost. start over. after /learn: you explain once. the skill persists. every future session already knows the procedure. the agent follows it without prompting. the boring repetitive tasks you do every week become one-command skills you never think about again. comment LEARN and I'll send you the full guide on turning any workflow into a permanent Hermes skill. full Hermes architecture deep-dive in the article 👇

YanXbt

13,150 görüntüleme • 3 ay önce

I just talked to a guy using AI to make thousands per client, doing something that all of us can do. This might be the easiest way to make money with AI right now. You don’t have to be an expert, you just need to be 1-2 steps ahead of your client. Corey went from a friend offering to pay him $1,000 for AI help, to turning that into a repeatable offer using What he uses: - voice agents - Claude - And a clean client report That's it. We talked about how the assessment works, what kinds of AI tools and simple software get recommended, and why the real money often comes from the upsell after the initial audit. Corey also shared practical ways to get your first customers, including local meetups, office hours, free assessments, and even door knocking. Finally, as if that wasn’t enough, we talked about why you do not need to be a real AI expert to sell this This episode with Corey Ganim, is a banger!

I just talked to a guy using AI to make thousands per client, doing something that all of us can do. This might be the easiest way to make money with AI right now. You don’t have to be an expert, you just need to be 1-2 steps ahead of your client. Corey went from a friend offering to pay him $1,000 for AI help, to turning that into a repeatable offer using What he uses: - voice agents - Claude - And a clean client report That's it. We talked about how the assessment works, what kinds of AI tools and simple software get recommended, and why the real money often comes from the upsell after the initial audit. Corey also shared practical ways to get your first customers, including local meetups, office hours, free assessments, and even door knocking. Finally, as if that wasn’t enough, we talked about why you do not need to be a real AI expert to sell this This episode with Corey Ganim, is a banger!

Chris Koerner

184,899 görüntüleme • 6 ay önce

It's not exactly a secret that I've been having a hard time lately. There's been a lot to process, grieve, adjust to. But the one constant through all of it is that I can go back to music and feel like myself again. To listen to me wail for 6 minutes:

It's not exactly a secret that I've been having a hard time lately. There's been a lot to process, grieve, adjust to. But the one constant through all of it is that I can go back to music and feel like myself again. To listen to me wail for 6 minutes:

Aiden Dawn

12,276 görüntüleme • 11 ay önce

Thought Kenny had an encouraging answer when asked about Jaylon Tyson (h/t Ethan Sands): "We need him to have that edge. We're going to keep trusting him. It's part of the process for a young guy going through his first real involvement in the process. He'll get it."

Thought Kenny had an encouraging answer when asked about Jaylon Tyson (h/t Ethan Sands): "We need him to have that edge. We're going to keep trusting him. It's part of the process for a young guy going through his first real involvement in the process. He'll get it."

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