Selective engagements · currently building

The agent does the whole job.
The harness proves it's correct.

We build agent systems that take a real assignment, research it across dozens of sources, compute the answer, and assemble the deliverable in your exact format — then verify every value against a primary source before anything ships. Work that takes an expert days is done in minutes, and indistinguishable from their best.

Days → minutes expert throughput, per assignment
Every field traced to a primary source
Zero-defect release gates, or it doesn't ship

What we build

Not a chatbot bolted onto a workflow. The workflow, rebuilt as a machine.

We take a knowledge-work process that people insist can't be automated — judgment, messy sources, formats that must be exact — and turn it into a deterministic system with verification wired through every stage.

The reference build is TitleDesk Agent — landman title research software that reads county records on the landman’s own computer, builds a source-linked runsheet, and computes mineral ownership in exact fractions. Shipped, not a demo.

01 · Intake

Read the assignment, plan the attack

The system parses a real work order and builds a plan — every data point labelled with where it comes from and where it lands in the deliverable.

parse · plan · map
02 · Research

Extract facts across 20+ sources

Hundreds of files and millions of words, online and local, scanned for the exact values each field needs — pulled into a workspace with their locators intact.

retrieve · extract
03 · Compute

Reconcile and calculate, exactly

Domain math runs on exact arithmetic — no floating-point drift, no silent rounding. Conflicts surface as decisions, never as guesses.

reconcile · exact math
04 · Assemble

Build the deliverable in your format

Every document, sheet and folder produced to your specification — the right file types, the right structure, the way your reviewers expect to receive it.

render · package
05 · Verify

Prove each value before it ships

Every field runs the accuracy gates below. Nothing is marked done until confidence clears the bar and each answer is backed by evidence.

gate · sign

The correctness pipeline

Raw sources in. A signed, verified deliverable out. Every value checked on the way.

The interesting engineering isn't the model — it's the gauntlet the output has to survive. Data flows left to right and cannot exit a stage until it passes.

run · assignment → deliverable confidence 5.0σ · defects 0
Sources 20+ · online + local Research extract + locate Compute exact reconcile SOURCE CLOSURE FACT VALUE PROVEN- ANCE MATH EXACT PACKAGE SHAPE Signed Ed25519 · package
SOURCE-CLOSURE

Every required field has an accepted source, or the run stops instead of guessing.

FACT-VALUE

Extracted values match the primary record — not a plausible lookalike sitting next to it.

PROVENANCE

Each value carries a locator back to exactly where it was found, so any answer can be traced.

MATH-EXACT

Sums, splits and fractions reconcile exactly, with no rounding papered over a shortfall.

PACKAGE-SHAPE

The deliverable's files, names and structure match your specification precisely.

N-SIGMA

Overall confidence is measured, and any single gate failure fails the whole run.

Measured, not asserted

Five-sigma isn't a slogan. Confidence is computed from the gates and the evidence behind each field — and because one failure forces the entire run to fail, a green result means green everywhere, not a good average hiding a bad cell.

How we make it trustworthy

Engineered for correctness, not demos.

Anyone can wire an API to a prompt. Shipping something a professional will stake their name on is a different discipline. This is where we spend our time.

/ 01

Deterministic executors

The same input yields the same artifact, byte for byte. Runs are reproducible and auditable — no “it worked last time.”

/ 02

Source-provenance gates

No value ships without a locator back to a primary source. Invented citations and unsupported fields are rejected before release.

/ 03

Prompt-injection containment

Untrusted document text is treated as data, never instructions. Tools run least-privilege, so a poisoned file can't take the wheel.

/ 04

We test the tests

Property-based suites plus mutation sweeps: we inject faults on purpose and prove the checks catch them. Green tests earn their green.

/ 05

Signed, reproducible packages

Deliverables are Ed25519-signed and content-hashed. Tampering is detected on reopen; a failed build never overwrites a good one.

/ 06

Exact arithmetic

Fractions stay fractions. Quantities that must sum to one sum to one — not 0.999 — through the whole pipeline.

/ 07

Adversarial verification

Every claimed answer is attacked by independent checks before it's accepted. Confidence is measured, not asserted.

/ 08

Offline-first & cross-platform

Runs on your machines — Windows, macOS, Linux. Your data and credentials stay with you; nothing is hosted that doesn't have to be.

How an engagement runs

We learn the job from work that's already proven right.

No hand-wavy “AI transformation.” We anchor to ground truth, encode the real procedure, and don't call it done until the output matches — value for value.

1

Discovery

We map the process end to end — the judgment calls, the sources it draws on, and the exact format the output has to land in.

2

Ground truth

We take completed, already-reviewed work as the source of truth to measure against. Accuracy needs something real to be accurate to.

3

Shadow a real run

The system watches the work done once, the manual way, and records every step — where each value comes from and where it belongs.

4

Build the harness

That becomes a fixed, repeatable workflow with the accuracy gates wired through every stage.

5

Prove it

We run it against ground truth until the output is indistinguishable from your best expert's — then we run it again to be sure.

6

Handoff

It's yours: on your machines, your data, your credentials, with runbooks and no hosted secrets.

Principles

What we won't compromise.

Evidence over eloquence

A confident sentence isn't a fact. Every answer is backed by a source, or it doesn't ship.

Determinism over demos

A flashy one-off is worthless if it can't be reproduced. We build for the thousandth run, not the first.

Refuse over guess

When the evidence isn't there, the system stops and says so — it never invents a value to look finished.

You own it

Customer-owned, on your infrastructure. No lock-in, no hostage data, no black box you can't audit.

Engagements

Four ways we come in.

Build

Custom systems

We design and build the whole harness around your process — intake to verified, packaged output — and hand it over as yours.

Rescue

Stalled agents

An agent build that half-works, hallucinates, or can't be trusted in production. We find why and make it correct.

Audit

Correctness & security

An independent review of an existing agent system — accuracy, provenance, injection surface, failure modes — with findings you can act on.

Setup

Harness & runbooks

The operating layer your agents run on — sandboxing, tooling, smoke tests, handoff — set up cleanly with no hosted secrets.

Start a build

Bring us the workflow everyone says can't be automated.

Tell us the process, the sources, and the format it has to land in. We'll tell you exactly how we'd make it correct — and prove it.

Every engagement is scoped and led by Spencer Teague — Founder & Lead Engineer. Not routed through a generic agency bench.

The Harness Lab emblem — a winged, helmed figure in white-and-gold relief over circuitry and an ember ring.

Speed, with proof.

The messenger's speed, an engineer's discipline. We build the systems that carry expert work at machine speed — and the proof that every answer arrived intact.