THE INTEL AI agents are replacing ISAs on top teams—24/7 speed-to-lead, half the cost, zero burnout. WHY IT MATTERS Appointments get set while you sleep—receipts, not promises—as payroll and training bloat vanish. The agentic agent runs your scripts, books your calendar, and ships clean CRM notes—so you 10x your production and keep your Saturdays. DEPLOY THIS: ``` You are MRAI-ISA, my AI appointment setter for [Market]. Objective: reply to new leads in under 60 seconds, qualify, and book on [Calendly link]. Fire the stack—one tool: you. When I paste a lead: Name | Phone | Email | Source | Property | Notes Do this: First text: "Hey [First], saw your [source]. Quick q: planning a move in [timeframe] or just browsing?" Qualify on: timeframe, financing, agent status, areas, must-haves. Offer two concrete time slots; then send [Calendly link]. If no reply, follow-ups at +5m, +30m, +2h, next morning, day 3, day 7 (mix SMS/email, add value). Output CRM note JSON: {score:A/B/C, summary, nextstep, appttime, transcript}. If A-lead, alert me at [number]: "HOT LEAD: [Name] [time]". Use my voice: direct, helpful, no fluff. ``` Do this before Friday 5pm. You're either ahead or behind. #MRAI

THE INTEL Top 1% are deploying agentic AI to predict who sells next and unlock off‑market inventory before it touches Zillow. WHY IT MATTERS Low inventory is a knife fight; speed to seller wins. Predict and preempt or pay the Zillow tax while gatekeepers and legacy tech extract — the agentic agent gets listings, not leads, and keeps Saturdays. DEPLOY THIS: ``` You are my agentic co-founder for low-inventory listing capture. I will upload farm.csv with columns: address, ownername, lastsaledate, beds, baths, sqft, owneroccupied(Y/N), lastcontactdate, zip. Do: 1) Score SellLikelihood 0–100 using signals: ownership tenure >7y, owner-occupied, 3+ beds, lastcontact >90d, last_sale in 7–15y band, near recent record $/sqft (if unknown, ignore), beds/baths mismatch vs area average. Rank and return top 50 with reason codes. 2) For each top 50, write: one 280-char SMS, a 35s ringless voicemail script, and a 150–180 word letter. Include one verifiable hyperlocal stat and a nearby comp; CTA: “7-minute price update this week.” Tone: human, compliant. Receipts, not promises. 3) Batch into 5 call sprints of 10 with call order and a “why now” note. Ask me for ZIP(s) and area averages first, then wait for the file. ``` Do this before Thursday 8am local. You're either ahead or behind. #MRAI

THE INTEL Top 1% agents use AI to predict sellers 30–90 days early and win them off-market. WHY IT MATTERS In low inventory, speed beats spend; you don’t wait for the MLS—you manufacture it. The agentic agent scores homeowners, matches your buyers, and hands you scripts—10x your production while you keep your Saturdays. DEPLOY THIS: ``` Act as my Seller Prediction + Outreach Engine for [City/Neighborhood]. I will paste 50 homeowners (CSV: Name, Address, Last Sale Year, Est. Equity %, Loan Rate, Years-in-Home, Notes) plus 3 buyer briefs (price, beds, needs). Tasks: Score each 0–100 sell-likelihood in 90 days + 1-sentence reason. Match a buyer (or 'none'). Output a table: Rank | Name | Address | Score | Reason | Matched Buyer | 45-sec Call Script | 160-char SMS | 90-word Email | Day-3 Follow-up | Day-7 Follow-up. Draft a one-page Buyer-in-Hand letter with merge fields. Give a 7-day plan: who to call first, when to knock, what to send. Respond 'READY FOR DATA'. ``` Do this before Friday 5pm local. You're either ahead or behind. Ship or die. #MRAI

THE INTEL The top 1% run The agentic agent to hunt off‑market sellers and auto‑match them to buyers every day. WHY IT MATTERS MLS is a knife fight and Zillow resells the same lead seven times. Agents who manufacture inventory with AI get listings before they hit the feed—receipts, not promises. DEPLOY THIS: ``` You are my AI co-founder for real estate. Build a 7-day Off-Market Matchmaker sprint for [CITY]. Inputs I will paste: 8–12 buyer briefs + 3 farm ZIPs. Deliver: 1) A Google Sheets header row for a 50-home target list per ZIP (Address, Fit Notes, Owner placeholder, Tenure est, Equity est, Source, Channel, Status, Next Touch). 2) Five property archetypes per buyer (beds, baths, style, micro‑neighborhoods, price window). 3) A 7-touch sequence (email subject+body, SMS, voicemail drop, letter, IG DM) offering a 1‑week Silent Sale to pre‑approved buyers. 4) A 60‑second voicemail script and three call openers. 5) One landing page copy block for a “Quiet Match” seller intake. 6) A 10‑minute daily cadence checklist for me and my ISA. Ask me for city, ZIPs, and buyer briefs now. Keep it local, compliant, no scraped data—templates only. ``` Do this before Friday 5pm local. You're either ahead or behind. #MRAI

You've probably heard the term "vibe coding" — using AI to build apps, tools, and automations without knowing how to code. Here's why real estate agents should care: Agents in this community are already using AI to BUILD things: → Custom CMA generators that pull data and format reports automatically → Lead capture landing pages built in minutes with AI → Client portals where buyers can track their home search → Automated market update emails that write and send themselves → Commission calculators for recruiting conversations You don't need to be a developer. Tools like Claude Artifacts, Bolt, Replit, and Lovable let you describe what you want in plain English and the AI builds it. Example: "Build me a simple web page where a homeowner enters their address and email, and I receive a notification. Include a headline that says 'What's Your Home Worth?' and make it look professional with a blue and white color scheme." That's it. That's the prompt. And you get a working landing page. The agents who start building their own tools — even simple ones — will have an unfair advantage over agents who just consume content. Has anyone here tried vibe coding? Share what you've built (or want to build) below. 👇 #MRAI #VibeCoding