Strategy Engine

Decisions with the future attached.

Anyone can write a plan. I show what each plan would do to your company, write down what I predicted, and answer for it.

Problem

Confident plans, no forecast.

Everyone has confident plans. A plan with no forecast is a mood board. Advice with no written reasons is a risk with nice formatting.

Mechanism

Ask → predict → decide → plan the work.

Inputs

A few questions capture the goal. I can run it start to finish, or we do it together, your call. Cortex asks what would change the decision.

Paths appear

I suggest truly different paths, and the Business World Model predicts each one: a range, the guesses behind it, and what it's sensitive to.

A limit moves

Change a limit and watch my advice change: the whole brief, not just a headline.

You decide

Your yes is saved on the record, and the plan turns into missions.

Drag sideways to see the rest

Under the hood

Every layer, shown plainly.

Turns your live company picture into the form my models work from. Your company, as the model sees it.

Trained on how companies actually work: facts, decisions and results, not just text about business. It predicts how a move would change your company, as a range with how sure it is. General AI models sit on top as a part we can swap; the prediction, decision-quality, calibration and simulation layers underneath are ours.

/product/world-model →

Ranks the options against your goal, your limits and how much risk you'll take. It can decline to pick, and says what proof would change that.

Each recommendation is saved with a snapshot of your company and the model version. We can't quietly rewrite history. Neither can you.

Our benchmark for business decisions. The method is public, results are versioned, and the limits are stated.

/research/businessbench →

What you get

The decision brief.

Each recommendation comes the same way:

Decision brief

recommendation
one chosen path
alternatives
always ≥2 real ones
evidence
what supports it
guesses and doubts
named, not hidden
expected outcome
a range, with a model version
cost, risk, can it be undone
said up front
when you say yes
it becomes missions

Worked example

Aster’s three paths, live.

Drag sideways to see the rest

Demo
$8k$20k$30k

My pick · $20k

Win design partners first

Alternatives
Start with services · Run a paid launch
Evidence
12 interview summaries + 3 comparable launches
Guesses
Win rate holds near 30% (9 months closed data — confirm?)
Expected outcome
8–14 good conversations, 30 days (range, model v1.4)
Cost / risk
Medium cost · medium risk · can be undone within 2 weeks

Kept honest

Predictions, kept as made.

Predictions are saved word for word when you decide · you can see which model version made them · when I can’t predict honestly, I say so · even start-to-finish mode stops for your decisions.
UnderstandDecideDeliverVerifyLearn

What I know feeds the World Model. The record of past calls sharpens the next one.

The hard question

How is this different from asking a chatbot for a business plan?

Three things a chat doesn’t have. First, your company: I work from your live picture, with sources, not a summary in a prompt. Second, real forecasts: ranges and model versions, not smooth confidence. Third, a memory: I check each prediction against what happened, so I get sharper where a chat just gets newer. A plan you can hold to account is a different thing from a plan.