Built a full AI system for real estate agents | 9 agents, one dashboard

I built a full AI command center for real estate agents.

9 AI agents. One system.

Here's everything it does:

🤖 LeadIQ — scores every inbound lead 0–100 automatically

📩 NurtureBot — generates 7-touch email + SMS sequences

🏠 ListingGenius — writes MLS copy + all social variants

📊 MarketPulse — full market analysis report in seconds

⚖️ DealCoach — analyzes offers, gives negotiation scripts

🔥 ReviveBot — reactivates dead leads with personalized outreach

👁️ ShowingIQ — turns buyer feedback into seller-ready summaries

📬 WeeklyPulse — auto-generates client update emails

📈 SourceIQ — tells agents exactly where to spend their marketing budget

Every agent auto-scores leads on creation.

Every call is logged with tokens, latency, and output.

The whole system runs on Next.js + Supabase + GPT-4o.

I documented the full architecture in a system audit — pages, API routes, database schema, env config, known issues, and a 30-second demo script.

Dropping the full audit doc in the comments for free.

If you're building AI systems for real estate (or any vertical), this is the exact stack and structure I'd recommend.

👇 What agent would you find most valuable if you were a real estate agent?

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Built a full AI system for real estate agents | 9 agents, one dashboard

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