Context before action
A person or agent starts with the relevant goal, inputs, constraints, and unknowns instead of guessing from an isolated prompt.
Foundation
A shared knowledge architecture for people and AI agents.
LogicBasics turns scattered operational knowledge into reusable, versioned, relational objects that guide action, preserve context, and make work easier to review.
The proposal
Knowledge should lead somewhere.
Useful project knowledge is often split between files, documentation, prompts, chats, examples, and personal memory. The problem is not only storing information. It is finding the right context, in the right sequence, when someone needs to act.
Evidence before confidence
Work produces decisions, validation evidence, risks, and next steps—not only polished-looking output.
Knowledge before implementation
Pages, Packs, files, and future APIs are delivery formats. The Knowledge Object is the durable unit of meaning.
How the system fits together
Choose an outcome, follow a Guided Path, use the connected Knowledge Objects, produce an artifact, validate it, and reuse the knowledge in the Library or a portable Pack.
Library and Guided Paths
The Library helps people discover what applies. Guided Paths sequence real objects toward an outcome instead of leaving visitors to navigate folders.
Knowledge Objects
Skills explain how to act; Templates shape artifacts; Recipes compose work; Checklists validate it. Relationships make dependencies and next steps visible.
Packs and tiers
Packs are generated, portable distributions of canonical objects. Base and Premium describe availability and depth; they are not the product identity.
Designed for two careful consumers
People see explanations, stages, inputs, expected outputs, and validation criteria.
AI agents receive structured references and context contracts, then must report evidence and unresolved risks.