Great Bear Strategy Engine
Turn a strategy into a testable object.
Define the current state, branch into plausible responses, shear the assumptions, compare actions, and return after the outcome to learn what held up.
The unit of work
Everything starts as a Strategy Case
A Strategy Case is a strategy written down precisely enough to be tested: the current state, the proposed action, the assumptions it rests on, and the constraints it must respect. Once a plan is a case, the engine has a stable object to operate on — and every interface we are building, from the web workspace to file inputs and agent tools, is designed to read and write the same versioned case.
The loop
Define, branch, shear, compare, act, resolve
Six steps, run in order, every time. The loop is the product; the verticals change the vocabulary.
- Definecapture the plan, its assumptions, and its constraints as a Strategy Case.
- Branchgenerate Scenario Branches: the plausible and adversarial responses inside a declared family.
- Shearrun Shear Tests that push each assumption until the plan degrades or breaks.
- Comparescore candidate actions across branches on the measures the case declares.
- Acthand a recommended action, its trigger, and its downside to the person who decides.
- Resolveafter the outcome, score what the system said against what happened.
Stress discipline
Shear Tests find the assumption that fails first
Most plans fail at an assumption, not at the average. A Shear Test stresses one assumption at a time — and the combinations that plausibly move together — to produce a Shear Profile: a map of how the plan degrades, which assumption carries the risk, and where the cliff sits. Robustness claims are always scoped to the declared branch family, assumptions, constraints, and evidence tier — never to the world at large.
Compounding
Resolved cases become a Decision Graph
When outcomes arrive, each case records what was predicted, what was observed, and the evidence tier that supports any comparison. Valid comparative evidence contributes to Decision Fidelity; every resolution can contribute provenance to a Decision Graph. The intended graph is a private, versioned record of state, action, prediction, and outcome. The outcome-resolution system is in development.
Command
People decide; the engine stress-tests
Great Bear recommends, compares, and flags. It does not execute. Every public prototype ends at a human decision, and every recommendation carries its trigger and its downside, so disagreement can be specific.
See the loop on a real tactic
Great Bear Football runs the whole loop on a worked tactical case, clearly labelled as illustrative.