
The LLM is the brain. The harness makes it an expert.
Most conversations about AI stop at the model. The model is the brain. The agent gives it arms and legs. The harness makes it an expert, and the harness is the part you should be asking about.

Most conversations about AI stop at the model. The model is the brain. The agent gives it arms and legs. The harness makes it an expert, and the harness is the part you should be asking about.

About 20% of single-family homes in urban cores are already upzoned. Across five markets that is 169,510 homes, 847,550 units of permitted capacity, and roughly 3,390 on the market at any time.

Zoning capacity is an economic asset, but it is often priced slowly and unevenly. How residual land value reveals parcels still trading like houses on land worth considerably more.
Finding opportunities is only the beginning. As deal pipelines grow, investment teams need one place to organize, compare, track, and move every opportunity forward.

Turning a plain-English investment thesis into a property shortlist requires agents, deterministic algorithms, structured zoning data, and human judgment working together.

A 13,000 SF warehouse site in Wynwood tests whether NRD-1 parking reductions can unlock a 20,000 SF boutique office project.

An assembled 6,990 SF site in South of Fifth may support a 9-unit multifamily project, even without short-term rentals. The model shows a workable rental scenario, a potentially stronger condominium strategy, and an interesting affordable-density question.

A small land listing in South of Fifth may have a path to a 5-unit boutique condominium project. The opportunity is compelling because parking may not be required, but the 4,000 SF lot size creates a zoning caveat that could require a variance.

Every real estate investor finds opportunity differently. Traditional software forces them into one workflow. AI agents let the analysis adapt to the investor instead.

Real estate deal evaluation has two jobs: gathering the information and making the judgment. AI agents are changing where the human role begins.

Deepblocks started by building nine separate products for real estate investment analysis. Today, most of those products have become infrastructure for AI agents that deliver completed workflows instead of more dashboards.

A 4,950 SF Edgewater parcel tests whether strong location, larger hotel rooms, and stacked parking can overcome a tight site and lot-area variance.

A narrow D2-zoned Little River industrial site raises a practical question: can 56,000 SF of storage/distribution space work operationally, financially, and physically on a constrained urban lot?