From product vision to AI-ready spec
Delvyn turns your strategy, OKRs, and discovery into structured specifications that AI coding agents (Copilot, Claude Code, Cursor) implement directly — pushed straight to GitHub and Linear.
Teams waste 40–60% of AI agent output when specs lack product context. Delvyn closes that gap. The spec is the product.
Your AI agents can implement a feature in minutes. But who ensures they're building the right feature?
Specification Quality Gap
Vague prompts produce vague code. AI agents need structured, context-rich specifications to deliver quality results.
Based on early adopter data, up to 40–60% of AI output is wasted due to poor specs
Missing Product Context
AI agents lack your product vision, strategy, and OKRs. Without context, they build features that don't align.
3x rework cost when agents build the wrong feature
No Learning Loop
Every implementation starts from scratch. Teams lose learnings from past builds, repeating the same mistakes.
Same mistakes repeated sprint after sprint
See the difference context makes
Same feature. Same AI agent. Completely different results.
prompt.txt
"Add a dashboard page with some charts showing OKR progress"
agent-spec.md
"Build an OKR progress dashboard. Product vision: team alignment through transparency. Key results tracked: revenue growth, NPS, deployment frequency. Use existing BarChart from recharts. Follow design system tokens..."
The difference isn't the AI agent — it's the specification. Delvyn Studio generates specs that include your product vision, strategy, OKRs, and technical context so agents build correctly on the first try.
Four pillars of AI-native product excellence
A unified model that connects product thinking to AI agent execution.
Vision & Strategy
Define where you're going and why. Export strategic context as AI agent context files that keep every implementation aligned.
Discovery & Ideas
Validate before you build. Structure risks and assumptions for AI implementation with proven discovery frameworks.
OKR Framework
Set measurable outcomes with machine-readable acceptance criteria. AI agents know exactly what success looks like.
Agent Specification Engine
CoreGenerate structured specs from your product context. Push to GitHub, Linear, or Jira. AI agents implement with full strategic alignment.
From product vision to AI agent implementation
Every stage feeds into the next. AI agents receive full strategic context, not just task descriptions.
Strategy flows into specifications. Specifications flow into implementations. Learnings flow back into better strategy.
Every implementation makes your next spec better
Capture learnings, identify patterns, and improve specification quality over time. The more you build, the smarter your specs become.
Specify
Generate context-rich agent specs
AI Builds
Copilot or Claude Code implement
Learn
Capture what worked and what didn't
Better Specs
Next iteration starts smarter
Delvyn Studio isn't another project management tool. It's the thinking layer that makes your existing tools smarter.
Keep Linear, Jira, and GitHub exactly as they are. Delvyn Studio adds the strategic context that turns task descriptions into implementation-ready agent specifications.
Vision, strategy, and OKRs in Delvyn Studio
Generate agent specs, push to GitHub or Linear
AI agents build in your existing workflow
Native integrations for AI-native teams
Push agent specifications directly to the tools your AI coding agents use.
GitHub
Push specs to Copilot Agent
Linear
Create issues for Claude Code & Copilot
Jira
Sync work items & track progress
Works with GitHub Copilot Agent, Claude Code, and any AI coding assistant.
The thinking layer your tools are missing
Your project management tool handles execution. Delvyn Studio handles what to execute and why.
Linear excels at execution with AI agents. Productboard manages roadmaps. Delvyn Studio ensures those agents build the right things — with structured vision, strategy, and agent-ready specs.
Different roles, one platform
Whether you set the vision or implement the code, Delvyn Studio bridges the gap.
Product Leaders
VP Product, Product Managers, CPOs
Bridge the gap between product strategy and engineering execution. Define vision, set OKRs, and know that AI agents are building features aligned with your strategic goals.
Engineering Managers
Engineering Leads, Tech Leads, Staff Engineers
Get implementation-ready specs that AI coding agents can act on immediately. No more ambiguous tickets. No more back-and-forth on requirements.
Only need OKRs?
OKR Studio is a focused, standalone OKR platform for teams that want goal management without the full product operating model.
OKR-First Teams
Starting at $9/user/month