AI ENGINES FOR WORK THAT IS HARD TO WRITE DOWN
We build AI engines for the commercial decisions your best people make from experience: the formula, the job plan, the quote, the call. The engine proposes, your expert reviews, and every correction makes the next proposal better.
Every engine we deliver runs the same four-stop loop. The expert stays in charge; the system does the arithmetic, remembers the corrections, and shows its work.
The engine takes the job inputs and drafts a complete answer: quantities, selections, a price, a plan.
Your expert reads the draft the way they would read a trainee's: accept it, or change a line.
Each change is written down as a rule or an example, with the conditions it applied under.
The next proposal applies what was captured. Agreement goes up; review time goes down.
Each demo runs in your browser on synthetic data. Change the inputs, correct the engine, and watch the next proposal change.
E-101 · DESIGN ENGINE
A cementer looks at a well's casing, depths, and temperature and decides the slurry, how many sacks, how much water and displacement, and what to charge.
From a job description to quantities, recipe, and a first-pass price.
E-102 · TRIAGE ENGINE
A dispatcher reads a customer's call-out, decides which crew and equipment to send, how urgent it is, and when to promise arrival.
Read the request, pick the crew, set the priority, promise a window.
E-103 · SELECTION ENGINE
An engineer or buyer looks at the conditions (soil, pressure, size, budget) and picks the material or product that will work, from a catalog they know by heart.
Pick the right material, product, or spec from the conditions.
E-104 · FEEDBACK ENGINE
Not one decision but the habit around all of them: who reviews what, how a correction becomes a rule, and how you know when the engine can be trusted.
The loop itself: queue, corrections, rules, and the agreement curve.
Demo data is synthetic. Rates, recipes, and rules are placeholders that your expert replaces.
Three short courses, each with hands-on exercises on the live demos. Start at 101 if feedback loops are new to you; go to 301 if you are deciding what to build.
TE 101
Owners, managers, and experts who have never built an AI system.
5 lessons · about 45 minutes
TE 201
Experts and the people who will work with them: estimators, engineers, dispatchers, and their managers.
5 lessons · about 90 minutes
TE 301
Owners and technical leads deciding what to build and how to run it.
5 lessons · about two hours
Fixed scope per engine. Your expert's time is the scarce input, so we spend it on corrections, not meetings.
01 · WEEK 1
A thirty-minute call, then a one-page scope: the decision, the inputs, the tables you already use, and what a good answer looks like.
02 · WEEKS 2–3
The deterministic core: your tables and formulas, encoded and tested. It proposes; you review. Usually it is already useful.
03 · WEEKS 4–5
Review queue, rule capture, and the agreement dashboard. Corrections start compounding.
04 · WEEK 6+
Optional: a first-pass estimator your customers can use, bounded by the rules your expert approved.
Thirty minutes. You describe the job your expert does from experience; we tell you whether an engine fits and what it would take to build the first one.