Sprinter Platform Documentation
Architecture, features, integrations, and operational guides for the Sprinter Platform.
Sprinter Platform Docs
Sprinter is a structured intelligence engine for capturing, connecting, and prioritizing data. It powers products like Amble (PE/consulting) through a reusable platform layer.
Start Here
- Overview — what Sprinter is and how it works
- Architecture — system design, request flow, module boundaries
- Data Model — database schema, tables, relationships
Platform Features
Every module documented with architecture, API reference, and agent instructions.
| System | Description |
|---|---|
| Entity System | DB-driven entity types, CRUD, field configs, relations |
| View System | Config-driven flat block layouts for list and workspace views |
| Block System | 20+ composable rendering primitives |
| Tool System | Registry-based tools with permission gating |
| Agent System | Code + DB agents, heartbeat, delegation, connections |
| Chat | Multi-agent conversations with AI SDK v6 |
| Actions | Visible work units for humans, agents, schedules, and integrations |
| Sessions | Unified runtime execution and transcript layer |
| Responses | Reviewed field-population and scoring outputs |
| Document Processing | Upload, parse, chunk, embed, search pipeline |
| Feed | Personalized entity feed with ranking |
| Capture | Natural language to structured entity creation |
| Navigation | Dynamic sidebar customization |
| Multi-Tenant | Workspace isolation and switching |
| Auth & Permissions | RBAC for users and agents |
| Realtime | Presence, live updates, notifications |
| Dashboard | KPI widgets and chart visualizations |
| Admin | Tenant, members, roles, entity types, agents |
Integrations
- Supabase — Auth, Postgres, RLS, Storage, Realtime
- AI Providers — Anthropic, OpenAI, Google, xAI, DeepSeek
- Inngest — Background jobs and event-driven functions
- Sentry — Error tracking and monitoring
- External Agents — OpenClaw, A2A, MCP connections
Runbooks
- Deploy — Vercel deployment and pre-deploy checklist
- Migrate — Database migration workflow
- Seed — Entity types, demo data, and agents
- New Product — Fork Sprinter for a new venture
Roadmap
- Spec-First Workflow — How features go from idea to spec to implementation to documentation
- Feature Backlog — All planned work, organized by priority
- Specs — Design documents for upcoming features
Reference
- Contributing — Coding standards, testing, PR process
- For Coding Agents — How AI agents should navigate these docs