Digital Employee · Real EstateRoadmap · TBD
Teresa.
The real estate Digital Employee. Roadmap.
Not a listings feed — an AI with the agency of a real-estate professional: built to carry transactions, portfolio operations, and investment strategy, not just surface properties.
Teresa is the Digital Employee for real estate. The Eve-RealEstate compound reasoning model continues to develop; Teresa will be productized into a customer-facing Operating System in a future product cycle.
Not just the first order. The whole role.
A real-estate professional is never only a closer. The work runs from the transaction, to the compliance and portfolio operations around it, to the investment strategy above it. Teresa is built to reason across all three orders — first-order dealwork is where it starts, not where it stops.
First order
Transactions & advisory
The deal work: property and market analysis, valuation reasoning, listing and offer preparation, and source-grounded client advisory.
Second order
Compliance & portfolio operations
The work around the deal: disclosure and regulatory compliance, lease and contract administration, and the operations of managing a portfolio.
Third order
Investment & development strategy
The stakes of the asset: investment underwriting, development and capital strategy, and portfolio-level risk and return decisions.
An AI with agency — and the architecture to back it.
Teresa is on the roadmap — but the architecture it will ship on is already running in production across the live Digital Employees: the same compound reasoning, the same dedicated memory, the same bounded agency.
Compound reasoning
Backed by Eve-Fusion™
Teresa will run on Eve-RealEstate — the same Eve-Fusion compound architecture every MindHYVE Digital Employee shares: five models per request — a Phi-3 classifier, a Phi-4 reasoner trained on the matching Eve-Genesis edition, and three composed frontier models. Reasoning depth no single model delivers.
Eve-RealEstate →Dedicated memory
Its own Azure AI Search
Every MindHYVE Digital Employee gets its own dedicated Azure AI Search instance for infinite memory recall — and Teresa will be no exception, carrying its full working context forward instead of forgetting it between turns.
Bounded by the OS
Agency in the employee, control in the OS
Teresa will reason with full agency inside its Operating System — and the OS layer is where the bounds live: review gates, tamper-evident audit trails, and the regulatory posture its industry requires. Agency in the employee, control in the OS.
One request, five models, one answer.
Eve-RealEstate is a compound, not a single model. Press Run to watch a request move through it — or click any stage to inspect it.
Stage 1 / 8 · Request
A user asks
A request enters through the Digital Employee’s Operating System — the surface that frames, scopes, and governs everything that follows.
The AI reasons. The human decides. The OS records.
Teresa is on the roadmap — here is how bounded agency is designed to work once it ships. Step through it.
Step 1 · Agency
Teresa reasons
Teresa works the case with full agency — reasons through it and drafts the valuation. No human in the loop yet.
On the roadmap