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Studiograph interface

The intelligence layer between your design practice and AI.

Translate your operations, methods, and design craft into a structured knowledge graph that AI agents can act on.

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The problem

AI output feels generic because it lacks your context

ChatGPT and Cursor can generate functional interfaces and write passable proposals. But without context about your specific methods and standards, the output is interchangeable. It could have come from any team.

The knowledge that makes your work distinctive — operational methods, component behaviors, aesthetic point of view — lives in people's heads, scattered documents, and tribal memory. It's not accessible to AI.

Operational Knowledge

How you scope projects, write proposals, staff teams, manage clients, produce case studies — the methods that make your practice run.

Design Knowledge

Your component behaviors, interaction patterns, aesthetic instincts — the thousands of implicit rules that make your work yours and not someone else's.

How it works

Two interconnected layers of organizational knowledge

Studiograph captures everything a design team knows — both how you run the business and how you do the work — as a structured interconnected graph that AI agents can act on.

Operational Graph

How your design team runs its business — encoded as structured, composable files organized into executable workflows.

Design Graph

The craft that defines your creative output — documented as enforceable design laws rather than suggestions.

What it's for

Built for product design teams

Design is where AI's context gap is most visible and most costly.

Independent Studios

Client-facing practices where scaling beyond the principals' capacity is the primary growth constraint.

Boutique Agencies

Teams specializing in design systems where institutional knowledge walks out the door with every departing team member.

In-House Teams

Product design teams looking to systematize design operations and accelerate AI-assisted workflows without sacrificing quality.

Architecture

Built on principles that last.

No vendor lock-in. No black boxes. Your knowledge
stays yours.

Markdown native

All knowledge stored as plain files with structured metadata — no vendor lock-in, readable for decades.

Version controlled

Full history, branching, collaboration, and audit trails via Git.

Model independent

Use the best AI model for each task — reasoning for architecture, writing for docs, code for implementation.

Local first

Data stays on your team's own infrastructure. You own your knowledge graph.

Be the first to bring your practice to life.

Studiograph is in early access. Join the waitlist and we'll reach out when we're ready for you.

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