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21 contributions to AI Automation Agency Hub
2 months ago I couldn’t build anything…
Now I’ve got multiple working systems running on n8n + agents… so I figured it’s time to actually show what I’ve been building. Not perfect, but real. ⸻ 1. Prop Rooms Built a social betting app after a messy Super Bowl pool. Now we actually use it instead of spreadsheets and group chats. (Live at proprooms.com, free to use) ⸻ 2. YouTube Digest Agent Daily 7am report that filters and summarizes videos from channels I follow. Went from ~2 hours of YouTube → 5 minutes of decisions. (Screenshots of today’s report below) ⸻ 3. LinkedIn Content System One idea → research → 3 post versions → stored in Notion. Removes the blank page problem completely. ⸻ 4. Post Evaluator Agent Reads all 3 versions, ranks them, tells me why one is best + if it needs an image. This used to be manual… now it’s instant. Built this one in ~30 minutes using Codex, which was a big shift for me. ⸻ 5. Auto Posting Workflow Approve a post in Notion → it gets published to LinkedIn automatically (with error handling, image upload, etc.) ⸻ 6. Agent Hub This is what ties everything together. One interface to control all my agents from anywhere using simple commands. (Screenshots attached) ⸻ Biggest takeaway: Once the foundation started to click, everything got way faster. Early builds took me 1–2 days. Now I can spin up new workflows in under an hour. ⸻ Still early, still learning — but this is the first time I feel confident enough to actually share what I’m building. If anyone else is building similar stuff, would be cool to connect 🤝 Happy to break any of these down if there’s interest.
2 months ago I couldn’t build anything…
1 like • Apr 28
Nice! You’ve managed to do a lot in a short space of time. I’ve been going at it a a few months too now and don’t feel like I’m near what you’ve been doing. I haven’t even really touched agents yet. Interested to know what your learning path looked like - what you was reading, watching etc and what made you do some of things you chose. What’s next? Where do you want to monetise?
1 like • Apr 29
@Bryson Humphrey Nice! I recently built a missed call-text back service for trades but soon found out there is quite a lot of that out there. It’s fairly straightforward and a good starting point for most people I think, that’s why. I jazzed it up a bit by have it collect details and then send a two different alerts for urgent or quotes and added a google review feature to get the up local rankings. I’m struggling to get people to even test it at the moment but I’m learning loads. Next steps for me is working on voice systems and also automation tasks for myself. I’m kinda the same as you in that I want to do as much as I can as quickly as I can to spot opportunities in other peoples businesses to be confident in kind of auditing and building
I built a fully automated website-selling machine for UK tradespeople. Here's exactly how it works.
Six weeks ago I had an idea: tradespeople in the UK are notoriously bad at having websites. Plumbers, tilers, electricians - great at the trade, invisible online. Meanwhile they're losing jobs to competitors who show up on Google. So I built a system to fix that automatically. Here's what it does end to end, with zero human involvement: 🔍 Step 1 - Lead discovery. A scraper hits Google Maps and pulls tradespeople across 40+ UK cities: plumbers, electricians, plasterers, roofers, tilers. Filters out anyone who already has a website. Scores each lead by rating, review count and trade category. 🤖 Step 2 - AI site generation Claude (Anthropic's model) writes bespoke copy for each business — unique tagline, services, about section, colour palette. No templates. Each site feels built for that specific business. 🚀 Step 3 - Automatic deployment The site deploys to Netlify on a custom subdomain: businessname.preview.[MY DOMAIN].co.uk. A screenshot is taken automatically for WhatsApp previews. 📱 Step 4 - Outreach The lead gets a WhatsApp message with their site screenshot attached: "I built [Business] a website. No website = lost jobs. £299 one-off. YES or STOP." 🧠 Step 5 - Intent classification Replies are classified automatically: positive, negative, unknown. Positive triggers a preview link send. Payment link goes out. Day 3 and Day 7 follow-up sequences run automatically. 📞 Step 6 - Call list A dashboard surfaces warm leads for manual follow-up, sorted by temperature: payment link sent → said YES → preview viewed. The whole stack: Python, FastAPI, SQLite + GCS, Cloud Run, Twilio, Netlify, Anthropic API, Stripe. 8,500+ messages sent. Running 24/7 on £5/month infrastructure. I'll post the real numbers and what I'd do differently next.
I built a fully automated website-selling machine for UK tradespeople. Here's exactly how it works.
1 like • Apr 22
Looking forward to see how this played out in your next post
Sent 20 cold emails today
After weeks of building, the system is finally live. Missed call text-back, lead qualification, logging — all working end to end. So I moved on to outreach. First I tried local trades Facebook groups to get a feel for the market and that wasn’t good. There is a lot of this that don’t get good feedback from the tradespeople in those groups and most are not getting any responses at all. Seems like they’ve seen it all before and pitched to many times. Then moved to cold email — 10 plumbers, 10 mechanics across Northamptonshire. Deliberately split across two niches to see which gets more traction and what resonates with each, I plan more services that have missed calls to see what gets best response. Before I sent anything I spent time in those Facebook groups and what I found was… a lot. Missed call systems, lead automation, AI assistants — all different price ranges, all saying almost identical things. And the comments from tradespeople were pretty telling. They’d seen enough of it. That stung a bit. But after feeling disheartened by it as first I thought that Ive gained skills building this that I didn’t have months ago so I’m going to try and force my way in somehow :) The automations work. The system does what it’s supposed to do, it still solves a problem and can still be helpful. So instead of trying to do the same thing, I’m trying to find a gap and force a hole through it. Different positioning, simpler message personal rather than slick. And while the emails do their thing, I’m using the time to start learning voice. Which — yes — also seems busy out there also. But that’s a problem for future me. One step at a time. If anyone has any advice of landing my first 3 beta clients for free for 3 months, feel free to let me know.
Helping Contractors Win with AI Automation
Who I Am My name is Mark Gignac, based in Hudson Falls / Queensbury, New York. I’m what I call a “Blue-Collar Systems Architect,” with 41 years in construction. I’ve built 14 houses from the ground up and completed everything from full gut renovations to major remodeling projects. I’ve spent my life in the trades and running jobs, so I understand exactly how local service businesses operate—because I’ve lived it. My Goal My mission is to equip local service businesses—the small crews, specialists, and independent operators—with Agentic AI systems that allow them to compete with and outperform large corporate competitors. I focus on helping them move faster, respond to every opportunity, and stop leaving money on the table by automating the parts of the business that usually get missed. My Why After 41 years in construction, my body is starting to tap out. I’ve been through 26 surgeries and a traumatic brain injury, and that forced me to make a shift into the digital world. I also have ADHD and dyslexia, and traditional business systems—especially writing and communication—have always been a challenge for me. I can read enough to get by, but expressing things clearly wasn’t easy. AI changed that. It’s become my tool—my support system—that allows me to take decades of real-world experience and turn it into systems, automation, and digital infrastructure that actually work. It removes barriers and lets me operate at a much higher level. I’m building this not just for myself, but for my family—and to prove that AI isn’t just for tech companies. It’s for the people in the trades, the ones out there doing the real work every day. Current Status I’ve already deployed my first “sentient” AI-powered website for a local contractor, designed to capture, respond to, and qualify leads automatically. Right now, I’m working to position a local waste company to compete against larger corporate competitors by using AI-driven systems to improve visibility, lead capture, and response time—giving them an edge they’ve never had before.
2 likes • Apr 15
Sounds like you found a way to overcome some of your challenges! AI can level the field now, that one of the great things about it is that think. I’m in a similar path. What have you built so far and what’s your roadmap? Good luck 👍
Testing an AI Voice Agent for Real Contractors
Hey guys, excited to be here. I own a pond construction/service company and recently started building an AI voice agent to handle missed calls, qualify leads, and book appointments. It’s live now and I’m testing it with real contractors, still refining, but the potential here is crazy. If anyone else is working on AI for service businesses, I’d love to connect and exchange ideas.
1 like • Apr 15
Hey, good luck! I’ve just went live with my own yesterday too and looking for beta in the UK. Mine is for tradespeople. I haven’t done the booking part yet as I want to make sure the rest of it works ok but it’s similar. I’ll follow along and see how you get on, maybe we can get some tips of each other. Good luck 👍
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Daniel Copeland
3
4points to level up
@daniel-copeland-9580
Building Deltry Automations between nightshifts. Lead recovery for UK tradespeople. Founding beta open. deltryautomations.co.uk

Active 22d ago
Joined Mar 17, 2026
UK
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