Repository
A source container. It may contain one product, many capabilities, patterns, infrastructure and assumptions.
This map breaks Actionist into separable systems: visual components, taste learning, curated software capabilities, autonomous repo conversion, client discovery, deterministic assembly, host services, editing, verification and continuous learning.
The client experiences one conversation. Underneath, several independent systems exchange typed outputs.
Select a part to inspect what it owns, what research already tells us, what remains unresolved, and what a dedicated agent lane would work on. Notes are stored only in this browser.
Most architecture confusion came from using “block,” “repo,” “component” and “template” interchangeably.
A source container. It may contain one product, many capabilities, patterns, infrastructure and assumptions.
A visual/interaction primitive such as a sidebar, hero, footer, table, card, picker or form state.
A bounded outcome-bearing function with declared inputs, outputs, state expectations and host requirements.
How a capability is delivered: service, module, transplant, package, adapter, generated pattern or custom delta.
An app-level workflow skeleton such as case management, client portal, CRM, scheduling or finance operations.
The exact compatible capabilities, bindings, components, routes, data resources and glue required for one app.
The gallery supplies visual pieces and inspiration. The preference learner discovers the client's design DNA.
A repository must be understood and assigned a reuse shape before it enters the reusable shelf.
Use typed data capabilities; keep Postgres as the default for new transactional state we own.
Compatibility, dependency and authority elimination should be deterministic before AI chooses alternatives.
A deliberately chosen first shelf may teach us more than another million metadata records.
Demand appears stronger and reusable supply thinner than for generic dashboards, making it a better test.