Agents move fast.
Parallel work compounds quickly. So do conflicts, stale context, and unintended changes.
Waymark · In active development
A system for governing AI coding agents: isolated workspaces, credentials held outside the agent's reach, and human approval where it counts. In active development, and used to build CADMedic.
Product Lab
The exact production plan and validation evidence are waiting.
Artifact, target, checks, and rollback proof are ready.
Isolated worktreesEvery agent works in a clean, bounded workspace.
Broker-owned credentialsAgents never receive your production secrets.
Verified deliveryChecks and evidence travel with every change.
The new delivery problem
The answer is not another agent. It is a trusted boundary between agent intent and privileged action.
Parallel work compounds quickly. So do conflicts, stale context, and unintended changes.
A productive coding agent should not need the keys to your repositories or infrastructure.
Safe release work needs exact artifacts, scoped authority, rollback proof, and durable evidence.
One governed path
Every run follows the same visible path—from scoped intent to verified delivery.
Plan, build, test, and review in isolated workspaces.
Policy, credentials, commands, evidence, and recovery stay outside agent reach.
Choose where work stops, where a human approves, and what can proceed automatically.
Native mission control
Studio turns issues, agent runs, checks, approvals, and releases into one operational picture on your Mac.
Explore StudioManaged worktrees isolate every run from your checkout and from other agents.
A native Broker evaluates every sensitive action before it can execute.
Validation, approvals, release identity, and outcomes remain connected.
Stale proof, scope drift, unsafe commands, or cleanup failures halt the path.
Built with Waymark
I use Studio to coordinate real CADMedic backlog work, agent implementation, independent review, validation, and privileged delivery preparation. CADMedic is built and in internal testing, and it is where I find out which parts of Waymark hold up.
Real backlog · multiple repositories · production boundaries
One continuous governed pathIssue → agents → reviews → tests → PR → merge → delivery
Designed for many agents
Use the models and harnesses that fit the work. Waymark keeps privileged execution, policy, and evidence consistent around them.
Specialized roles work in isolated lanes without sharing a privileged execution surface.
The native boundary owns credentials, commands, policy, and durable evidence.
Automate routine reversible work. Stop safely when the evidence no longer matches.
Architecture you can inspect
Explore the module boundary, data tiers, process sandbox, RepoSeatbelt recovery, and fail-closed delivery model behind Waymark.
In active development
Waymark is in active development. If your organization is working out how to let AI agents do real work safely, I'd like to hear about it, whether to compare notes or to discuss Waymark itself.