Turn product vision, OKRs, and discovery into AI-ready specs

Overview⁠

Connects Product Vision, Strategy and OKRs to Linear tasks

How it works⁠

Delvyn Studio is a Product Operating Model platform that turns product strategy, OKRs, bets, and discovery learnings into AI-ready specs that AI coding agents can build from directly. It’s built for teams shipping alongside AI, where the bottleneck has shifted from build capacity to specification clarity.

The Delvyn Studio MCP server exposes your workspace — products, bets, OKRs, learning captures, and specs — so Linear can pull spec context into issues and push status back. Product managers write once in Delvyn Studio; the spec, the outcome, and the linked KRs surface where engineers already work.

Typical flows: (1) A Delvyn spec becomes a Linear parent issue with sub-issues auto-created from bets. (2) At-risk KRs surface on the Linear cycle they belong to, cycle-pace-aware. (3) Discovery learnings captured against a Delvyn product attach as Linear issue comments so context stays with the work.

Configure⁠

Delvyn Studio requests read and write access to your Linear workspace. This allows creating issues, reading teams and labels, and managing issue metadata. You can revoke access at any time from Linear’s authorized applications settings.