What teams use Foundation for
Foundation is a structured workspace for software design. Product managers, engineers, and architects use it to document intent before code exists—and keep that intent readable throughout development.
Use cases
Brainstorm & Design Workshops
Collaborative brainstorming sessions with AI that transform raw ideas into structured PRDs with actionable next steps.
- Upload design files, notes, and references for AI analysis
- Mermaid diagrams auto-generated from descriptions
- Brainstorm outputs feed directly into PRD creation
Product Requirements Documents
Structured PRDs that surface assumptions, constraints, and risks before they reach engineering—convert from brainstorm sessions or start fresh.
- Guided section-by-section workflow
- AI reviews for gaps and contradictions
- Linked directly to technical designs
Technical Design Documents
Architecture decisions documented with intent, not reconstructed from code after the fact.
- Mermaid diagrams auto-generated from descriptions
- Connected to the PRD they implement
- Readable by Claude, Cursor, and other AI coding agents via MCP
API Specifications
Document endpoints, payloads, and contracts in a format engineers and AI agents can read directly.
- Structured API spec sections
- Export to Markdown and PDF
- Version history for every change
System Architecture
High-level design decisions captured with context—why, not just what.
- Architecture diagrams via Mermaid
- Decisions linked to product requirements
- Full audit trail of design evolution
Migration Planning
Document migration scope, risks, and rollback plans before touching production systems.
- Structured risk and constraint sections
- Before/after architecture diagrams
- Export to Linear, Jira, or Notion
Compliance Documentation
Create auditable records of design decisions with explicit rationale and version history.
- Full version history and audit trail
- No silent AI edits—all suggestions are explicit
- Export to PDF and DOCX for formal review
Design first. Build with confidence.
Start with a structured template. AI fills gaps and surfaces risks. Your team builds from a shared, documented understanding.