PROBLEM SOLVING HARNESS

Problem Solving Harness

A harness designed to help you learn in the age of AI. It steers your learning process so you can use tools like AI to outsource certain parts of the work without accidentally outsourcing the learning itself.

Guardrails sit in the flow. You stay in the driver's seat when you pull data from different sources. The harness does not build content or a course for you — it steers you into the right learning actions and the internal model updates that make knowledge actually held.

That policy is epistemic foraging: learning as reducing uncertainty, rather than optimizing for tests and practice repetition.

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Problem Solving Harness workspace map with knowledge blocks, simulation, and expansion tools — Workspace · Map · Blocks
Build and navigate a living knowledge map. Expand, connect, and steer practice from the blocks you actually hold.

Problem Solving Harness practice session with chapter map, tools, and a guided project workspace — Workspace · Map · Blocks
Build and navigate a living knowledge map. Expand, connect, and steer practice from the blocks you actually hold.

POLICY
Epistemic foraging
An active search for information that shrinks what you do not know, instead of optimizing for tests and practice repetition. The harness forages for the next genuine gap.
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UNSYS MODEL
Unsys model
A generative model of the concept you are trying to learn or verify: hidden states, observations, priced edges, and policies. Calibrate, Learn, and Verify freeze that model and act on it.
Open the model
FREE ENERGY PRINCIPLE
Uncertainty minimization
Learning is reducing uncertainty. The Free Energy Principle is the influence: persist by minimizing surprise, and treat work as shrinking what is still unknown rather than chasing a test score.
Read the science