Docyrus Platform

Docyrus is an AI-native Backend Platform as a Service (BPaaS) for building B2B web/mobile apps, client portals, internal tools, AI agents, chatbots, and integrations — without building backend infrastructure from scratch. This skill is the architecture map: the building blocks, how they fit, and which dedicated skill owns each how-to.

Core Building Blocks

The platform is composed of building blocks that compose into apps:

• Apps — Top-level containers that group data sources, automations, agents, and custom queries into a deployable unit.
• Data Sources — Structured collections of records with typed schemas. Four types: simple, advanced, external (connected DBs/APIs), and system (pre-built). Every data source — internal or external — is exposed through one unified CRUD endpoint.
• Fields — 45+ field types defining each data source's schema: text, numbers, dates, selections, relations, files, formulas, nested data, and more.
• Enumerations — Reusable option sets for selection fields (color, icon, ordering).
• Custom Queries — SQL-based analytics templates with variable interpolation, runtime filters, and multi-database targeting.
• Automations — Event-driven workflows: triggers (record changes, schedule, webhook, email, webform, button) → action-node chains (email, notifications, record ops, HTTP, AI, scripts).

Detailed building-block specifications: references/core-building-blocks.md.

Which skill for which task