⚡ BOTTOM LINE UP FRONT
This week's issue covers:
1. Nash, a purpose-built construction AI that lives in Slack and never forgets when someone leaves
2. The ATOMS Framework for scoring which parts of your business AI can and can't replace
3. Three things you can do before Friday to get ahead of this
The real threat isn't robots. It's tech-savvy operators from other industries who will enter construction with better systems and out-operate builders who never got organized.
⚡ FEATURED STORY
Every growing construction company hits the same wall: key people leave and the knowledge goes with them. Milan's answer was Nash — an AI agent trained on construction logic, not general use.
His framing: "It's a truck, not a Mercedes." ChatGPT is built for everyone. Nash is built for job sites.
What it does:
→ Translates field voice memos into formal client communication
→Pulls tagged JobTread files into searchable memory
→Generates Monday team summaries from daily logs
→Flags schedule slippage every morning before it compounds
Nash is currently in pilot testing with custom builders and commercial electricians. Watch the episode here →
⚡ BUILDER DOING IT RIGHT
Milan Vladic isn't a tech guy who got curious about construction — he's a builder who learned to code, and that changes everything about how Nash was designed. It doesn't ask anyone to change their behavior. It lives in Slack, connects to JobTread, and works the way builders already work.
General AI can do almost anything, which is exactly why it doesn't know your cost codes, your trade relationships, or how your PMs actually talk about a job. Purpose-built AI trained on your own data builds a moat. The longer you wait to start, the harder that moat is to close.
⚡ THREE MOVES THIS WEEK
1. Find out what's walking out the door with your people.
Think about the last time a key PM left. How many hours went into rebuilding context — schedules, scopes, client history? Most builders find that number is 2–3x higher than they'd guessed, and that math makes a knowledge system look a lot more affordable.
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2. Pick one report to automate this week.
Every company has a weekly report that pulls from the same inputs every time. A crew recap, a change order log, a client update. Map out what data it needs and where that data lives — that's the hard part done, regardless of what tool you use to finish it.
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3. Run your work through the ATOMS Framework:
Before deciding what to delegate to AI, score each activity:
A — Anatomical: Requires a body on site
T — Trust: Value drops to zero if AI-generated
O — Occasion: Tied to an unrepeatable moment
M — Messy: Requires real-time judgment in ambiguous situations
S — Scarce: Value comes from a constraint no one can copy
High score = protect your time here. Low score = automate it before someone else does. Check it out here →
⚡ TOOL OF THE WEEK - NASH BY BUILDER’S EDGE
Milan built Nash because no AI tool actually understood construction. It lives in Slack, connects to JobTread, and remembers everything — scope sheets, daily logs, change orders — so your team can ask questions about any job without hunting through folders. Field crews send voice memos, Nash turns them into client-ready communication. Still in pilot, but worth getting on the list early. Free to join the waitlist. Join here →
🔥 THE VALUE VAULT
Claude AI — AI Chatbot
If you're only using ChatGPT, try Claude. It handles long documents better — paste in a full contract, a set of meeting notes, or your last 10 proposals and ask it anything.
Granola — AI Note Taking
Automatic call and meeting transcription. The Week 1 AI workflow. Five minutes to set up. Free to start.
Apollo.io — The AI Sales Platform
275 million contacts, automated outreach, and AI-written emails in one platform. Find your exact buyer and follow up without lifting a finger.
You don't have to figure this out alone.
Beyond the Bid Circle is a peer community for builders scaling with systems and AI—the same builders who've escaped the 60-hour grind. Swap war stories, shortcuts, and real strategies with people who get it.
"Skate to where the puck is going — prepare your data and workflows for an AI-integrated future before you need to."
P.S. — If your team is still losing project context every time someone leaves — or your PMs are running on memory instead of a system — the knowledge moat Milan describes is harder to build than it looks. That's exactly what the 6-Week MAP™ is designed to fix. We help builders get the capture system in place first, then build the operations that scale around it. If that's the conversation you need, let's have it. it out here →
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