hey friends. Looking for people who can build out voice agents for businesses. We have the ground work laid out in terms of the platform, the cost, capabilities etc. Minimal Technical Experience: Low level automation experience who's passionate about AI and helping businesses If you align with that or more, keep reeding. Two roles we're hiring for that can also mix together. 1. Agent Architect - you take a document with the outline of what the client or business needs, and you build it out. Optionally, you can be a direct contact to the client or business for maintenance and ongoing support. (so long as your communication works well) 2. Sales / Client Relationships - we get 10-20 leads a day and do not have the bandwith to deal with 1000's of users, bugs, feature requests, developing and managing items on our roadmap, security and sales / support on top of that. We need representatives who have good communication skills 3. Both - if you have automation exp and good communication skills Remote is completely fine, I handle everything from a little room inside of my apartment and my team is spread across the globe. Please comment which role you think fits you best, and send me a dm for details. I already get a lot of DM's as it is, so it makes it easy for me to go straight to dm's from the comment section. But if you don't send a DM first, i won't be able to DM past 10 people.

If you're running your business through OpenClaw right now, you're driving a Ferrari engine inside a Honda chassis. The model isn't the problem. The harness around it is. And that difference is why most entrepreneurs using OpenClaw are only unlocking a fraction of what this technology can actually do. In my latest video, I break down the fundamental architecture gap between OpenClaw — an indie-built wrapper — and Claude Code, a harness backed by billions in engineering from Anthropic. Every feature you think makes OpenClaw special, Claude Code does natively and better. Here's what the video covers: - Why wrappers and harnesses aren't the same thing — and why that distinction changes everything - The specific features OpenClaw bolts on that Claude Code was trained to do out-of-the-box - How OpenClaw performance flatlines as complexity scales while Claude Code compounds - The structured memory + database setup that gives your AI assistant real business context Watch the full breakdown here → https://youtu.be/qJg3CuqEvek

I've been working with plumbing companies recently and honestly this niche is almost unfair to build for. The problems are so obvious and the owners are so desperate for help that the conversations basically close themselves. Here's what I keep hearing from every single one of them. Their guys are out on jobs all day. Hands covered in PVC cement, crawling under houses, driving between calls. Phone rings and nobody can answer. Not because they're lazy. Because you literally cannot pick up a phone when you're elbow deep in a drain line. The numbers on this are wild. Plumbing companies miss 27 to 40 percent of their calls during business hours. And 78 percent of those people don't leave a voicemail. They just call the next plumber. Each one of those missed calls is worth somewhere between 500 and 1,200 bucks. That adds up to 50 to 120 thousand dollars a year in revenue that just walks out the door. Then you've got emergencies. Burst pipes at 2am. Water heaters dying on Sunday morning. These are the highest margin jobs in the entire business and they're the ones most likely to go to voicemail. A customer with water pouring across their basement floor is not waiting until Monday. They're calling every plumber in Google until someone picks up. Whoever answers first wins. That's the whole game. And then there's the one nobody talks about. Past customers. Most plumbing companies have hundreds of people in their system who haven't been contacted in over a year. 65 percent of customers forget their plumber's name after six months. Which is honestly impressive because how many plumbers do you know by name. But these people are 10x more likely to book than a cold lead and they spend 31 percent more. One contractor ran a single reactivation campaign and pulled in 38k plus another 29k in upsells. From people already sitting in his CRM doing absolutely nothing. So here's the agent setup that's been working. First agent is inbound. Picks up every call, figures out what they need, books the appointment, sends a confirmation text. Answers common questions from a knowledge base loaded with the business info. Pricing, service areas, availability. Covers all the gaps when the team is in the field and after hours when the office is closed.

Had a plumbing company owner tell me he was losing 15 calls a day because his guys were all out on jobs. That's what got me started on this The same problems keep coming up. Their techs are out on jobs all day and nobody's answering the phone. After hours calls go straight to voicemail. And they've got hundreds of past customers sitting in their database that haven't been contacted in over a year. The biggest thing I learned is speed matters more than anything in this niche. When someone's AC goes out in July they're calling three companies. Whoever picks up first gets the job. If you call back in two hours they already booked someone else. So here's the agent setup that's been working. First agent handles inbound around the clock. Picks up, figures out what they need, books the appointment, sends a confirmation text. Covers the gaps when the team is in the field and after hours when nobody's in the office. Second agent is strictly for emergencies. Burst pipe, no heat, stuff that can't wait. It recognizes the urgency and transfers straight to whoever is on call instead of letting it hit voicemail. Third agent is outbound. You load up past customers, set a calling window, and it reaches out before peak season. Reminds them they're due for maintenance and books them in. One company I worked with filled their entire June calendar in a week running this. If anyone's building for home services or thinking about it, happy to share more about how these are structured. The scripts, knowledge base setup, and call routing logic are all pretty repeatable once you've done it once.

A little while back we got hit with 600 calls in under an hour. $1,000 in usage fees. It was just a recording playing over and over again. This was our first time dealing with something like this. It came out of nowhere and caught us completely off guard. By the time we realized what was happening, the damage was done. I've seen chat-based AI systems get spammed before, but phone attacks? Those cost real money to execute at scale... unless you own the phone lines. 🫠 So what would you have done? I spent a lot of time thinking through this. What would a real call center or business do if their phones suddenly started ringing nonstop with the same recorded message? They'd catch on pretty quick. I extracted the main elements real people use to solve these problems: 1. Call centers & businesses know their normal volume. Calls per day, per hour, per minute, busiest times. We needed to track these metrics too and build a system that could use them to detect attacks. 2. Pattern recognition. If you picked up just TWO calls that sounded identical, even from different numbers, you'd know something was up and hang up immediately. The solution: A live supervision system We built an extremely low-cost monitoring layer that watches active calls in real time. An Algorithm + LLM analyzes: Call duration and how long it's been going Time between turns (if there's 30+ seconds of silence over just 2 turns, that's a red flag) Interruptions (how often the caller interrupts, which helps identify recordings) Recent global activity for that number, plus a snapshot of the last hour (example: "calls in last hour: 334, average for this hour: 34, pattern: nonsensical caller asking why sneezing makes the world rotate differently") Plus other safeguards like progressive throttling if the same number calls repeatedly, with automatic cutoffs after a threshold. This can apply to area codes and a lot of the times the first 3 digits of the number are also the same which helps you pick up and stop these attacks earlier on.