David Katic

I've just hired a real Alien to be my latest brand ambassador! Wasn't expensive at all 🤣 . ps. Ai video is pretty cool!

Real world AI example #12 I sat down with a property manager recently who oversees about 180 rental properties. I asked her the same question I ask everyone: what is the one task that eats up most of your day? Without hesitation she said voicemails. On any given day she gets 20 to 30 voicemails from tenants. Leaking taps, broken locks, noise complaints, lease questions. The list never ends. Her process was to listen to every single one, write down the details, categorise the issue, and then either action it herself or assign it to someone on her team. By the time she got through them all it was lunchtime and she had not started on any actual work. So I put together a solution for her. We set up an AI system that transcribes every voicemail as it comes in, pulls out the key details, and categorises it automatically. Maintenance requests get sorted by urgency. A burst pipe goes straight to the top with an alert. A request to fix a squeaky door goes into the standard queue. Lease enquiries get flagged separately and linked to the relevant tenancy file. Each morning she opens a clean summary instead of a voicemail inbox. She can see at a glance what is urgent, what is routine, and what needs her personal attention versus what can be delegated. When I walked her through the system, her reaction said it all. She said "You have no idea how much I needed this. I am actually excited to start my mornings again." The time saving is around 90 minutes a day. That is nearly 8 hours a week she is getting back just by removing the manual processing of voicemails. If you work in a role where messages and requests pile up faster than you can process them, AI can turn that chaos into a system. It is one of those changes where you wonder how you ever managed without it. If there is something in your business you would like to automate, DM me or comment below and I will share some ideas. #ai #propertymanagement #productivity #automation

@TheMattBerman @Meta @HubSpot @Calendly Money

this cowork agent knows which ads will print money 😱 here's the system that knows what meta doesn't: step 1: pull the raw data → pulls @Meta ads, GA4 + your source of truth (ie @hubspot, @Calendly or a csv) → assumes broken UTMs, disconnected tools, no data eng step 2: map ads by angle → agent re-groups every ad by MESSAGE family (teardown, save-time, founder-led, etc.) → your best message is usually scattered across 3 campaigns + 2 audiences. meta can't see that. → now you can answer the only thing that matters: which angle is producing $ step 3: score buyers not clicks → not CTR. not CPL. not ROAS. → bookings. signups. revenue. whatever moves YOUR business. → 4 questions every day: what's real, what's fake, what's leaking, what's underfed step 4: the 4 outcome truths → REAL WINNER: strong clicks + strong buyers = scale → FAKE WINNER: strong clicks + garbage buyers = cut. no hesitation. → LEAK: good ad + broken page = rebuild page → UNDERFED: quiet crusher at 9% of budget = feed it step 5: find what's breaking → tells you exactly where it breaks: ad, page, or follow-through → last week it caught a founder-psychology ad landing on a generic SaaS page converting 34% below account average → not "something's off." but specific. actionable. step 6: 1 minute brief → 60 seconds brief. lands in cowork/telegram → every rec ships with a confidence tag. low data = no rec step 7: memory that compounds → week 1 finds the obvious fake winners → week 4 it pre-flags curiosity hooks before they become the next fake winner → every cycle is smarter than the last input: meta account + GA4 + one outcome source output: real winners. fake winners. leaks. what to do next. the old way: → triple whale: $300/mo → northbeam: $500/mo → hyros: $500/mo → data analyst: $8K/mo = $9,300/mo of "it depends" this: $0 I packaged the entire system as the Outcome Kit. 3 claude cowork agents + 12 skills: - data reader (meta + GA4 + outcomes. source truth only) - diagnostician (angle mapping + 4 outcome truths scoring) - brief writer (concrete moves + pattern memory) also works with @openclaw and hermes (@nousresearch). giving it away free. comment MONEY + like + follow (must follow so i can DM)

Another real-world AI example. One of my clients is a building company that gets a steady flow of enquiries through their website and social media. The problem was not lead volume. It was lead quality. Their sales team was spending hours every week on calls with people who were just browsing, had no budget, or wanted something the company does not offer. That is time they could have spent with serious buyers. So we introduced an AI qualification step. When a new enquiry comes in, the AI starts a conversation over SMS or web chat. It asks a few key questions: What type of project are you looking at? What is your rough budget range? What is your timeframe? Do you own the land already? The AI keeps the conversation natural. It does not feel like a form. It feels like chatting with someone helpful. Based on the answers, the system scores the lead and sends the sales team a short summary with a recommendation: hot, warm, or not ready. In the first month, the sales team reported they were spending 50 percent less time on unqualified calls. And their conversion rate on the calls they did take went up noticeably because they were only speaking to people who were genuinely ready. The real win was not just saving time. It was giving the sales team confidence that every call on their list was worth making. If your team is drowning in enquiries but struggling to convert, the issue might not be your sales process. It might be what happens before the sales process starts. DM me or comment below if you want to explore this for your business. #AI #LeadGeneration #SalesAutomation #BusinessAutomation #SmallBusiness #AIForBusiness

I pulled the numbers on a website AI chatbot we launched for a home services client 60 days ago. The result surprised even me. 26.3% of all chat conversations turned into booked leads. Not website visits. Not newsletter signups. Actual leads sitting in their CRM ready to be quoted. Here is why this works. Most websites make people hunt for answers. They land on a page with a question in their head and a service menu in front of them. If the answer is not obvious in about 10 seconds, they leave. The chatbot flips that. The visitor types their question the way they would ask a mate at a barbecue. The bot answers in plain English, asks a few natural follow up questions, and quietly captures the details my client needs to quote the job. No forms. No "submit and we will get back to you within 48 hours". No friction. The other thing I love about this setup is the data. Every conversation is a window into what cold traffic actually cares about. You see the real objections, the real confusion, the real buying signals. This allows us to change the website to make it easier to answer those questions because we know what people are looking for. That alone is worth the price of admission. AI is not going to replace your sales team. But it will happily work the 8pm shift on a Tuesday while your sales team is at home eating dinner. #ai #chatbot #leadgeneration

Real world AI use: a tradie client of mine was losing jobs he did not even know about. Not because of pricing. Not because of reviews. Because of missed calls. When you are up a ladder, you cannot answer the phone. And when a homeowner has a leak, they are not leaving a voicemail. They are ringing the next name on Google. We switched on a simple AI system last month. If a call is missed, an automatic text goes out within seconds: "Sorry we missed your call, what can we help with?" From there, the AI asks a few quick questions, captures the job details, and drops the full conversation into his phone. Customer feel like someone is going to get back to them. In the first three weeks, it recovered 14 jobs that would have otherwise walked. Nothing fancy. No big platform. Just AI plugging the leaks between the phone and the inbox. If missed calls are costing you work, this is one of the easiest wins in the whole AI space. Happy to share how it is set up, just drop a comment or DM. #AIForBusiness #Automation #SmallBusiness #Tradies

@everestchris6 SKILL

My OpenClaw agent runs a complete website agency on autopilot: • Scrapes 100s of local businesses from Google Maps • Pulls up their site from the Wayback Machine, flags any site that hasn't changed since 2020 • Builds them a fully custom website in minutes • Screenshots their old site vs the new one side by side • Sends the outreach email automatically • Runs 24/7 with zero manual work Businesses with old websites are easier to sell than ones with no website, they already paid for one before Reply "SKILL" and I'll send you the free skill file that runs this entire agency on autopilot (must be following)

Another real-world example of AI in action. We recently reviewed the performance of a website chatbot for a property client, and the data was very clear. The bot converted 22.9% of chats into leads. Think about that for a second. These were not random website visitors clicking around with no intent. These were people who had real questions, wanted answers quickly, got the information they needed, and then a meaningful percentage turned into leads. That is exactly where AI can be so powerful. Most websites make people work too hard. Visitors arrive with a question in mind. They do not want to dig through page after page hoping they find the answer. They want clarity, and they want it now. When a bot can answer those questions instantly, it removes friction. And once the visitor feels understood and informed, the next step becomes much easier: enquiry. What made this even more interesting was the after-hours data. 45.7% of all chats happened out of hours. And even more importantly, 75% of the leads captured by the bot came in out of hours. That is a huge insight. It means a big chunk of buying intent is happening when the business is not open, the team is not available, and no one is there to answer questions. So if your website is just sitting there after 5pm, you are likely missing opportunities. This is why I keep saying AI on websites is not just a nice add-on. It is becoming critical infrastructure for lead generation. People have questions 24/7. If you can answer them in real time, you give yourself a much better chance of turning interest into action. Real-world AI is not about hype. It is about outcomes. In this case, the outcome was simple: answer questions faster, capture more leads, and win opportunities that would otherwise be lost after hours. #AI #LeadGeneration #Chatbots #SalesAutomation #CustomerExperience #PropertyMarketing #BusinessGrowth #MarketingAutomation #WebsiteConversion #DigitalStrategy

Another real-world example of AI capturing a job that could have easily been lost: I recently launched an AI system for an electrical company that does emergency call-out work. Over the weekend we saw it in action. An emergency call came in from a hotel that had lost power. As you can imagine, that’s a pretty urgent situation. The on-call electrician missed the call. Normally that could mean the job is lost as the caller simply tries the next electrician. But this time our AI system stepped in. When the call wasn’t answered, an automatic message went out: “Sorry we missed your call. How can we help?” The hotel replied saying they had an emergency power issue and needed an electrician urgently. The AI asked a few quick questions, collected the name, the hotel details, and a short description of the problem. When the electrician checked their phone, they could immediately see the chat transcript in their mobile app. Within seconds they understood: • Who the customer was • That it was a hotel • That the issue was loss of power They called back straight away and organised the call-out. What could have easily been a missed opportunity turned into a real job. It’s a simple example, but an important one. Businesses spend a lot on marketing and reputation to generate calls. Systems like this help make sure those opportunities aren’t lost. If there’s something in your business you’d like to automate with AI, feel free to DM me or comment below and I’m happy to share some ideas. #ArtificialIntelligence #AIForBusiness #BusinessAutomation #AIinBusiness #Automation #SmallBusiness

@sarfraj_ab75685 SKILL

@dimitarangg CLAUDE

claude code can automate your ENTIRE cold outreach system & book you 30-40+ calls MONTHLY but most of you don't even know how to set it up properly so i'm giving away a detailed 54-page doc on EXACTLY this like + comment “CLAUDE” and i'll send it over asap (must follow + RT for priority access)

@fin465 @ProductHunt @origamichat Launch

We built Claude Code for Lead Generation… We hit #1 on @ProductHunt & took @origamichat from slow growth to 2x MRR every week since I wrote up the exact guide we used to hit #1 and get thousands of users to sign up in a day. Complete blueprint to #1. I’ll dm it to you Just comment “Launch” RT so other founders get the blueprint

@WorkflowWhisper ANTIGRAVITY

antigravity is quietly becoming the most dangerous tool in automation. i've been testing it for 2 weeks and here's what nobody's talking about: you can build entire n8n workflows without ever opening n8n. not drag and drop. not templates. not watching a 45-minute youtube tutorial from some course seller. you describe what you want. antigravity builds it. here's what i shipped this week from a single antigravity session: → restaurant reservation no-show recovery system (texts customer, offers reschedule, logs to CRM) - 8 min → real estate lead scoring pipeline (scrapes zillow inquiries, scores by budget, routes to agents) - 12 min → fitness studio class waitlist + auto-fill (cancellation triggers SMS to next 3 on list) - 6 min → HVAC seasonal maintenance reminder engine (customer history → personalized outreach → booking link) - 9 min → auto-invoice generator that fires the moment a job is marked complete - 4 min 5 workflows. 39 minutes total. zero nodes dragged. consultants would quote $12K-$25K for this package and deliver it in 6-8 weeks. the entire game just shifted and most people building automations haven't noticed yet. i put together a free PDF breaking down exactly how to set this up: → antigravity → n8n deployment pipeline (step by step) → all 5 prompts above (copy-paste ready) → 4 advanced prompts for multi-system workflows → how to connect it to synta MCP for self-healing → pricing guide for selling these to local businesses comment "ANTIGRAVITY" and i'll send it. (must be following for DM)

@everestchris6 video

I built an openclaw tool that automatically builds websites for leads it scrapes from google maps, auto-records the website as a video, and sends it to them as a cold pitch... It literally screen records the website that was made for THEIR business, so the lead will feel it's personalized This is an all encompassing machine to sign clients and fulfill all in one loop Reply "video" and I'll DM you a free prompt to build it yourself. (must be following)

Here is how, step by step, I used AI to rebuild my entire agency website. No developer. No agency. No $15K invoice. It took 4 hours. Not 4 weeks. 4 hours. But here's what most people get wrong about using AI to build a website: They start building before they start thinking. Building a website is like building a house. You need an architect AND a builder. AI is an incredible builder - it writes code fast, deploys instantly, and never takes a sick day. But it's a terrible architect. YOU are the architect. You need to get crystal clear on: -> What problem do you solve? -> Who do you solve it for? -> What's your offer? -> Why should they choose you? Get that right FIRST. Then hand the blueprint to AI and let it build. The best part? I gave feedback in plain English. No coding. Just "move this here" and "change those words" and AI did the rest. And if you're not techy? Keep Claude Desktop open alongside Claude Code. It's like having a teacher on hand 24/7 to walk you through every step. I've created a step-by-step PDF guide showing exactly how I did it, including every tool I used and my 10 secrets to designing a homepage that actually converts. Want a copy? Comment "AI WEBSITE" below and I'll send it to you. (Must be a connection or follower so I can DM you) #AI #WebDesign #SmallBusiness #DigitalMarketing #AIAutomation

@everestchris6 Skill

My OpenClaw bot runs a full website sales business 24/7: - Finds local businesses without a website - Builds them a custom site automatically - Emails them the preview link - Runs every day on autopilot Most local businesses don't have a website. This skill finds them and pitches them automatically Reply "skill" and I'll send you a free skill file that scrapes leads, builds sites, and sends emails on autopilot. (must be following)

@WorkflowWhisper RETAINER

the 10 most profitable workflows local businesses are buying right now. i've built 47 of these in the last 3 weeks using synta. here's what they pay, what each does, and how fast they deploy: → missed call text-back ($800-1,500) - 3 min client gets a reply in 60 seconds instead of never calling back → review request automation ($500-1,200) - 4 min google reviews triple within the first month → appointment no-show recovery ($1,200-2,500) - 5 min recovers 30-40% of lost revenue automatically → AI receptionist + call routing ($2,000-4,000) - 8 min 24/7 coverage. zero missed calls. zero salaries. → instant quote generator ($1,500-3,000) - 7 min response time drops from 2 days to 2 minutes → client onboarding sequence ($1,800-3,500) - 9 min forms, doc collection, payments - one workflow handles all of it → invoice follow-up + payment recovery ($1,000-2,000) - 4 min late payments drop by 60% without a single awkward phone call → social proof collector ($600-1,200) - 3 min auto-requests testimonials and publishes to google/socials → lead scoring + routing ($1,500-3,000) - 6 min hot leads hit your phone. cold leads get nurtured automatically. → weekly owner dashboard ($1,200-2,500) - 5 min revenue, reviews, leads, appointments - one email every monday morning average build time: 5.4 minutes. average revenue per workflow: $1,750. close rate when you build it live in front of them: 70%. every single one self-heals through synta's MCP. no debugging. no maintenance calls from clients at 11pm. i put together a free PDF with: → all 10 copy-paste prompts (word for word what i type into synta) → pricing calculator by complexity + industry → the live demo script that closes 7 out of 10 → objection handling for "i'll think about it" → synta MCP setup walkthrough (5 min) comment "RETAINER" and i'll send it. synta(.)io - describe the workflow in plain english. it builds, deploys, and fixes itself. (must be following for DM)

Whats the most annoying part of your day? I'll give you some ideas on how to automate it. Let me know in the comments (or DM if you'd prefer). #ai #business #technology #chatgpt

@WorkflowWhisper Local

sonnet 4.5 just mass-produced $23,400 in local business contracts. in one weekend. here's exactly what happened: friday night i made a list of 30 local businesses within 15 miles. not tech companies. not startups. a laundromat. a pest control guy. a dentist office. two landscapers. a funeral home. a dog groomer. a commercial cleaner. a physical therapy clinic. a pool company. saturday morning i called 12 of them and asked one question: "what's the most annoying part of your day?" every single one had an answer within 4 seconds. the pool company: "we lose 11 jobs a week because nobody follows up cancellations." the PT clinic: "insurance verification takes 3 hours every morning." the cleaning company: "we quote in 2 days. our competitor quotes in 2 hours." i didn't pitch anything. i didn't mention AI. i didn't say the word "automation." i said: "what if that was fixed by monday?" then i opened synta, typed exactly what they told me, and built each workflow in 4-11 minutes while they watched. results from saturday alone: → pool company: $2,500 setup + $500/mo retainer → PT clinic: $3,800 (saving them $19K/yr in labor) → cleaning company: $2,200 setup + $400/mo → dog groomer: $450 one-time → pest control: $1,800 setup + $300/mo 5 closed. 7 more scheduled for next week. total: $10,750 upfront + $1,200/mo recurring projected year 1: $23,400+ zero proposals. zero decks. zero "let me get back to you." they watched it work. they paid on the spot. i documented the entire framework: → the 1-question discovery script → all 6 copy-paste workflow prompts → what to charge (pricing guide by complexity) → synta MCP setup (how every workflow self-heals) comment "LOCAL" and i'll send the full PDF. consultants charge $15K for a discovery workshop. i just gave you the playbook for free. synta(.)io

Real World AI use: I just launched a new AI automation system for a plumbing client recently. His biggest frustration wasn’t marketing. It was missed calls. He’d be on the phone with one customer and another would ring. Or his admin team would be tied up. If they missed the call, that was often the end of it. And as most business owners know, a missed call can easily mean a missed sale. So we introduced something simple. If a call isn’t answered, our AI system automatically sends a text message: “Sorry we missed your call. How can we help?” From there, AI handles the conversation: • Finds out what the customer needs • Collects details and address • Clarifies the job • Confirms someone will call back The other day it happened for the first time for my client. A missed call came in. The bot engaged. The customer wanted a plumbing quote. The AI gathered everything. When the plumber called back, he wasn’t starting cold. He already knew the situation. That customer became a real lead. What stood out most was this: the caller felt heard. Instead of leaving a voicemail and wondering if anyone would respond, they were instantly engaged. You can spend a lot on marketing. But if you don’t capture every opportunity, you’re leaking revenue. If there’s something in your business you’d like to use AI for, DM me or comment below and I’ll share some ideas. ps. I'm often asked why I don't use voice ai instead of text. Lot's of reasons but the key one is that text message has a 99% open rate and is the most effective. I've tested it and the data is clear for this use case. #ai #business #technology #chatgpt

One of my clients is a solar installer. He’s been installing panels for years and has a database of 5,000 past customers. Right now, there’s a government program in Australia heavily subsidising home battery installations (around 30%). Naturally, he wants to let his existing clients know. But calling 5,000 people? That’s weeks of work and most wouldn’t be ready anyway. So we set up a smarter approach. We used AI to send a simple SMS to past clients explaining the battery rebate and inviting them to reply if they wanted more information. When someone replies, the AI handles the conversation: • Answers common questions (cost, size, compatibility with existing solar) • Explains how the rebate works • Qualifies interest • Identifies who is genuinely ready to move forward Only the warm, interested prospects go to the sales team. No mass cold calling. No wasted time. Just focused conversations with people who’ve already put their hand up. We’re also pacing the outreach (10 to 30 chats per day) so it’s manageable and controlled. Your existing database is often your best revenue opportunity. The question is how to activate it efficiently. If there’s something in your business you’d like to automate, DM me or comment below and I’ll share some ideas. #ai #business #technology #chatgpt #smallbusiness