Write something
Pinned
2d •
New Episode: Your Competitors Are Already Using AI for This
Here's the uncomfortable part nobody wants to sit with: a prospect calls your business, nobody picks up, and they don't leave a voicemail and wait. They scroll down to the next name in the Google search and call them instead. There's no brand loyalty for someone who hasn't bought from you yet. The business that answers first usually wins. In this one Ryan and I dig into a real client we're helping right now. Service business, multiple locations, a CRM they actually like. The software does about three-quarters of what they need. It's that last 25% (after-hours phone, appointment reminders, upselling before the visit) that quietly leaks money. 🎯 The one thing An AI voice agent that answers the phone at 9pm, recognizes the caller, pulls up their history, and books or upsells them is not a someday thing anymore. It exists today, it sounds human now, and the only real question is whether you're the one using it or the competitor who took your lead is. Risk read: 🟡 use with caution If you do one thing this week: 1. Call your own business after hours from a number nobody recognizes and see what actually happens to that lead. 2. Make a short list of what your CRM does NOT do for you yet (booking, reminders, upsell prompts, after-hours capture). 3. Ask your CRM one direct question: do you have an AI roadmap, and what's the date. If the answer is "maybe Q4," that tells you something. Tell me the one gap in your lead handling that's been bugging you the longest. 👇 🗳️ Quick poll: where does your business lose the most leads?
Poll
1 member has voted
1
0
Pinned
8d •
New Episode: What Is an LLM (And Why It Makes Things Up)
Episode 2 of the AI Dictionary is live, and this one is foundational. If you use ChatGPT, Claude, or any AI writing tool, you're already using an LLM. Most people never get told what that actually is. Ryan and Paul break it down in plain English: what an LLM really is, how the big three differ, what to trust it with, and the part nobody warns you about, where it quietly gets things wrong. 📋 TL;DR An LLM (Large Language Model) is trained on a massive pile of text and learns to predict and generate language. The big three: ChatGPT (OpenAI), Claude (Anthropic), Gemini (Google). They're great for drafts, summaries, and brainstorming, but they hallucinate, which is a polite way of saying they make things up with total confidence. They also carry real privacy implications. If you're on ChatGPT Plus, your chats train the model unless you opt out in Settings, Data Controls. 🚨 BAS Risk Rating: 🟡 MEDIUM Hallucination is real and well documented. It's manageable with the right habits, but never skip the human review pass. Three things to do this week: 1. Open your ChatGPT settings right now. Go to Settings, Data Controls, and turn off training if you're on Plus. 2. From here on, treat every AI output as a first draft. Not a fact, not a final answer. 3. If you're pasting any real business data into these tools, move up to a Team or Enterprise tier where your data isn't used for training. Drop your questions and your best "it made that up" story below. We read every one. 👇 🗳️ Quick poll: Have you ever caught an AI confidently making something up?
Poll
2 members have voted
1
0
Pinned
21d •
Welcome to the Blueprint Automation Systems Community. Let's Do This Right.
Hey. We're Ryan and Paul, and we built this place because we got sick of watching smart business owners get either ripped off or left behind when it comes to AI and automation. Quick intros: Paul DiRienzo owns MetroWest Academy of Jiu Jitsu outside Boston. He's been running a brick-and-mortar business for nearly 20 years, dealing with staff, clients, cash flow, and every operational nightmare you can imagine. He's not a tech guy. He's an operator. And that's exactly why he belongs here. Paul will be the first to call BS when something doesn't make sense in the real world, and he's the reason half of what we teach actually works for people who just want to run their business. Ryan Morency is the other half. Twenty-plus years of building systems across 3D visualization, real estate, and now consulting brick-and-mortar owners on automation and AI. He figures out what the tech can do, and Paul's the gut check on whether you should do it. That tension is kind of the whole point. Between us, we've got about 40 years of operating experience. We've made expensive mistakes so you don't have to. We're not here to sell you on AI hype. We're here to help you figure out what's actually worth your time and money. This community is free to join. No pitch fest. No fluff. Just operators helping operators. Now, your turn. Drop a post and introduce yourself. Tell us: - Who you are - What kind of business you run - What's eating most of your time or energy right now - And honestly, what's your gut feeling on AI? Curious? Skeptical? Both? No wrong answers. We read everything. Welcome aboard! -- Ryan & Paul
2
0
8h •
The phone-to-computer workflow Paul runs today
Ryan said it straight: it's only a matter of time until Cowork is on your phone. Then he showed what he's already doing. He talks to his phone on the way to the dojo. That message goes to his computer. The computer is running Cowork. By the time he gets home from training, the folder of screenshots he asked it to organize is done. That's not a concept. That's his current setup. The full mobile version of this isn't live yet. But the workaround already exists and Ryan is already using it. If you do one thing this week: 1. Think about a task you do every week that requires you to be at your desk. 2. Ask if a phone message to a running AI agent could handle it. 3. Watch the clip below. Paul explains the exact workflow. What's one task you'd offload if you could just text your computer about it?
0
0
8h •
AI Agents Explained: The Employee That Never Sleeps
Most AI just talks. This kind actually works. An AI agent answers the phone, books the appointment, chases the lead, and updates your system while you're doing something else. It's the closest thing yet to an employee who never sleeps and never calls in sick. In this episode we break down what an agent really is, where it earns its keep in a small business right now, and the one setup mistake that turns it into a lawsuit. 🎯 The one thing An LLM talks. An agent does. The difference is tools. Bolt an LLM onto your calendar, your phone, your CRM, give it a goal, and it stops being a chatbot you talk to and starts being something that does the work. That's the whole idea. Risk read: 🔴 advanced only. Agents are the highest-ROI move in small-business AI right now, and also where the most can go wrong if you rush the build. Disclosure rules are law, not a vibe. If you do one thing this week: 1. Pick one small, well-scoped job you know cold. The 9pm-Sunday call that goes to voicemail. The lead that waits till Monday. 2. Start it read-only. Let it draft, not send. Watch it work before you give it the keys to anything. 3. Check your state's rule on AI voice disclosure before you ever put it on a real phone line. "I didn't know" is the expensive answer. What's the first job you'd hand an agent, and what's stopping you from building it this month? 👇 🗳️ Quick poll: where would you point your first AI agent?
Poll
Cast your vote
0
0
1-30 of 62
powered by
skool.com/blueprint-automation-systems-2678
AI and automation strategies for small business owners. Real talk on what's worth building, what to skip, and what actually moves the needle.
Suggested communities
Powered by