From your first PRD draft to a fully AI-powered product knowledge base — the complete workflow, step by step.
Open Laminar and type a one-line description of the feature you're building — what it does, who it's for, and why it matters. Laminar's AI reads your entire existing feature catalog and PRD history before writing. The output is a complete structured PRD: overview, requirements, edge cases, and open questions — not a blank template you spend another hour filling in.
Laminar exposes an MCP server that any compatible coding agent can connect to. Once connected, tools like Cursor, GitHub Copilot, or Claude Code can pull the current feature spec, approved PRD, and related docs directly into context — no copy-pasting, no stale prompts. Your agent always builds against the live, approved requirements.
When a PR merges to main, Laminar attributes the code change to related features and PRDs — no manual tagging required. To see what may have drifted, open any feature and go to the Reconciliation tab. Laminar computes a freshness score on demand, showing you exactly which specs are still accurate and which sections need a review.
Laminar tracks every PRD through a structured lifecycle: draft (private, AI-editable) → in review (stakeholders comment and approve) → approved → staged (tied to a planned release) → live (the canonical source of truth for the shipped feature). Each transition is one click. Once a PRD is live, hit 'Update docs' to push the approved content to your developer portal and make it immediately available to every AI tool connected to your knowledge base.
When your features and PRDs are structured, current, and code-linked, every AI tool in your stack gets meaningfully better. Release notes, support triage, onboarding guides, codebase Q&A, stakeholder briefings — all draw from the same live Laminar knowledge base. The investment in keeping docs accurate pays dividends across your entire product org.
Create your workspace and draft your first PRD in under 10 minutes. No credit card required.