LandAIForYou
the agency──────est. 2026 · < 20 clients / year

We work with a small
number of investors,
deeply.

Every engagement is a build, not a consultation. We write code, ship infrastructure, and stay on the hook for it. If we can't make you demonstrably faster on real parcels within six weeks, we don't take the project.

start an engagementsee capabilities
[01]process

Six weeks to a shipped system.

No 'discovery decks'. We build against real parcels from day one. Here's the shape of an engagement.

01
week 1

discovery

We sit with your acquisitions team, read your buy box, and instrument the workflow you already run. No deck. We leave with a list of the exact decisions AI could sharpen.
02
weeks 2–3

prototype

A working assistant, agent, or MCP server against your data. Ugly on purpose. We iterate on capability, not chrome, until it's obviously useful on real parcels.
03
weeks 4–5

eval + harden

We build the evaluation harness your buyer can trust — completeness scores, gap categorisation, per-county baselines. We optimise until scores stop moving.
04
week 6

ship

Deployed to your infra or ours: Modal, Vercel, your VPC, a private MCP. Docs, runbooks, and an on-call channel for the first month.
[02]capabilities

What we actually build.

Not a menu. Combinations of these show up on nearly every engagement.

C-01

Custom MCP servers

Plug your internal data — CRM, appraisal notes, GIS layers — into any AI client via the same MCP surface we use for landaiforyou.

C-02

Agents that browse

Real browser automation for portals that don't expose APIs: Tyler, Eagle, Paydici, county-specific one-offs. Rate-limited, retried, evaluated.

C-03

Deterministic report pipelines

For cases where an LLM is overkill: fully deterministic pipelines stitching parcel data, Google, USGS, FEMA, NFHL, county GIS.

C-04

Eval infrastructure

Completeness scoring across 80+ fields, per-county baselines, gap categorisation into six reason codes. Regression tests for AI, effectively.

C-05

Operator co-pilots

Browser-embedded assistants that watch your acquisitions team work, autofill forms, and flag parcels before your team wastes time on them.

C-06

Model routing + guardrails

Route between models by cost and complexity. Redact PII. Cache aggressively. Prevent hallucinated deeds, addresses, and owners.

[03]in production

Two builds, from the first year.

Anonymised at the client's request. Numbers are theirs, not ours.

case · 001anonymised
client

A mid-market land fund

problem

Team of four analysts producing ~30 diligence reports a week, ~2.5 hours each.

what we built

landaiforyou MCP wired into Claude Desktop, per-county skills for their top 40 markets, human-in-loop review on flagged parcels.

3.4×
reports per analyst-hour
case · 002anonymised
client

A rural title company

problem

Six weeks to complete a title search on a legacy county; senior staff bottlenecked on deed chain research.

what we built

Custom title-search agent with 20-year chain reconstruction, PDF downloads for every link, summary notes reviewed by staff.

4 days
avg. turnaround, down from 6 weeks
[04]principles

Non-negotiables, on every engagement.

  1. 01We ship working code against your real data by week 2, or we walk.
  2. 02Every claim the AI makes is traceable to a source — a deed image, a portal, a public dataset. No 'trust me'.
  3. 03You own the code, the evals, the prompts. We're not building a black box you have to rent from us forever.
  4. 04If we don't beat your current process on speed and accuracy in a head-to-head, we refund and unwind. Fully.
accepting engagements

Two slots open this quarter.

book a working session