Is Distill really in beta, or is that marketing?
Really in beta. Access is invitation-only while we run early-access trials with PMs. Everything you see on this page is shipped and usable — but the product is still evolving quickly, and pricing hasn’t been set yet.
What frameworks are supported?
Five today: RICE, Value/Effort, MoSCoW, Kano, and Cost of Delay. You can switch between them per prioritisation round without losing previously captured scores. Signal Convergence compares rankings across frameworks so you can spot the ideas that consistently rise to the top.
How does the AI generation actually work?
You pick the ideas you’re building — one or several — and Distill generates a seven-section PRD grounded in those ideas and their feedback. The AI cites specific feedback inline, so every claim is traceable. You can edit any section before publishing, and version history keeps a full record of changes.
Which AI model do you use?
Distill has a provider-agnostic LLM layer. The current beta uses Google’s Gemini tier for generation and embedding-based models for duplicate detection. The abstraction means we can switch providers without you changing anything.
Where is my data stored?
Production runs on Supabase (PostgreSQL). Workspaces are tenant-isolated via row-level security, not just by application code. If you’re in the EU and need a DPA before joining the beta, mention it in your access request.
What does it cost?
Nothing, during the beta. Pricing will be set based on what actually matters to the PMs we work with during early access — we’re not charging until we’re confident the product clears that bar.
What integrations are on the roadmap?
Slack, Jira, Linear, GitHub, and public roadmaps are all planned. None ship in the current beta — the focus so far has been on the core loop: collect, prioritise, generate. Integrations come next.