What problem does it solve? It prevents the common failure of picking a standard architecture off the shelf and reverse-engineering a justification, by forcing each line of a new block's mechanism to be derived from a concrete failure of the simplest baseline. ## Core Features & Use Cases - Eight-question derivation method: Walks through episode definition, dumb-solution cost analysis, cross-domain solution imports, plain-language quantities, forced vs free choices, learning/inference clocks, capacity and failure modes, and readout probes. - Artifact-driven workflow: Each question produces a concrete artifact (episodes, cost table, forced-move list, failure mode, probe) that lands in block notes, DESIGN.md contracts, and known-answer tests. - Worked examples: Four complete derivations (Hopfield, Boltzmann machine, TEM/hippocampus, attention) in references/worked-examples.md show each question answered in a different domain. - Use Case: Before registering a new candidate block or opening an [INVENT] block, run the eight questions to produce the block's contract, its known-answer tests, and a one-delta ladder of candidates. ## Quick Start Ask the AI to apply the intuitive block design method to derive a new memory block for your model before writing its contract.