How this knowledge base is organized
Add canonical categories.yaml (14 cats, plain PointSav voice) + wiki-structure EN/ES + cross-wiki placement rule; reconcile naming-convention §4/§13 (security+ai split, categories.yaml as source of truth)
@@ -0,0 +1,93 @@ --- schema: foundry-doc-v1 title: "How this knowledge base is organized" slug: wiki-structure category: reference type: topic content_type: topic quality: complete short_description: "A reader's map of the platform knowledge base: fourteen areas covering what PointSav builds, how it is built, why it can be trusted, and how customers run it — written so both engineers and financial readers can navigate it." status: active bcsc_class: public-disclosure-safe language_protocol: PROSE-TOPIC paired_with: wiki-structure.es.md --- PointSav builds operating systems and services for regulated businesses that need to own their data, their AI, and their record-keeping outright. The platform runs on customer hardware, is built to produce continuous-disclosure-grade records by structure, and operates fully without AI for buyers that require an air-gap. This knowledge base documents that platform. The articles are technical — written for developers first — but the map below is written for everyone, including readers arriving from the corporate knowledge base with no engineering background. Each area name says plainly what it holds. ## What it is and how it's built - **How It's Built** — how the platform is put together: a three-part build that separates what comes in, the record-keeping core, and optional AI — and the principle behind it: customers own their running instance outright, on their own hardware. Start here for the big picture, including how the business model follows from the architecture. - **Building Blocks** — the reusable pieces the platform is built from. If an article elsewhere names a mechanism you don't recognize, its definition lives here. - **Design Patterns** — the named, repeatable shapes the platform reuses to solve coordination and ownership problems, written up once and referenced everywhere. ## Why it can be trusted - **Security and Trust** — how the platform is protected and how its records are verified: identity and permissions, cryptographic verification, isolation boundaries, how data is handled and kept private, and the supply-chain controls designed to keep code honest from contributor to production. - **How AI Is Used and Contained** — the platform's most distinctive design choice, stated plainly: the core data pipeline runs entirely without AI, and where AI is used it cannot write to the authoritative record. These articles explain the boundary that enforces that, how requests are routed between models, and the small, customer-side models designed to learn a customer's own environment. ## The platform, piece by piece - **Operating Systems** — the operating systems PointSav ships, one article per system. - **Platform Services** — the always-on background services, one article per service: what it does and what data it owns. - **Applications** — the applications people actually use, from the public knowledge sites to the internal consoles. - **Where It Runs** — where everything physically runs: customer hardware, deployment, storage, telemetry, and the shared compute network that pools hardware across sites. - **Design and Brand** — how the platform looks and speaks: design philosophy, visual vocabulary, and brand surfaces. ## How decisions are made - **Governance and Standards** — how engineering decisions are made and recorded: decision records, licensing and legal structure, and disclosure discipline. Readers from the financial community will find the compliance material here. ## Working with the platform - **How You Run It** — step-by-step instructions for the hands-on work: installing, configuring, deploying, operating. Customers run their own instance, so these are written for a reader at a keyboard. - **Glossary and Reference** — every term defined in plain words, plus the catalogues used across the knowledge base. The fastest route to an unfamiliar term. - **Research** — long-form research papers, published as working drafts under a standing preprint notice: complete arguments rather than documentation. Every article is published in English and Spanish. Category pages list their articles alphabetically; each opens with a curated guide to the area before the full list.