A shared place to move AI work forward.

Bring projects, work orders and the context behind them into one workspace. See what needs attention and inspect what has been done.

Command Center

Interactive illustration · fictional data
Command CenterIllustrative product preview

See the whole picture.
Direct the next step.

Command Center
Work orderLinked to this project
Harness evidenceLinked to this project
Project context

Supplier onboarding

A scoped workflow change is ready for human review.

Review ready

Your next step

Review the implementation evidenceA decision you direct

The workspace brings the evidence. You direct what happens next.

Context stays connected. The decision stays yours.Choose a project, inspect its sources, then bring the next action into focus.

Inspect this project’s context

Harness evidence · example excerpt

Scope
Add a reviewer step before a supplier can become active.
Record
A supplier stays pending until a reviewer confirms the details. The review decision is attached to the supplier record.
Human review
Inspect the change and its checks. Release remains a separate human decision.

Next actions to consider

  1. Review the implementation evidence
  2. Confirm the supplier approval flow
  3. Decide the next step

Illustrative workspace. Focusing an action only changes this preview; it does not approve work, dispatch an agent, or release a change.

Command Center mechanism story selected.
What it does today

Work orders come with a review step.

Work orders can be reviewed and approved in a queue before AI execution. Approving one needs an owner, admin or member role; viewers cannot. The approval is written into the work order itself.

  • Projects
  • Work orders
  • Sessions
  • Gateway keys
  • Gateway usage
  • Vault
Agent sessions in view
See running and idle sessions with their current task, model and cost against a hard budget. Open one to follow its live output.
Gateway keys and usage
Create, rotate and revoke keys tied to the signed-in person. Usage breaks down by person, model and provider, app and day, with budget headroom. People see their own usage; operators see the team’s.
Project knowledge in a vault
Each project keeps a markdown knowledge vault with a list or graph view, backlink counts and broken-link badges.

Drawn from the current product source, not the illustration above. What is enabled depends on your configured environment.

From a project to the work, context and evidence behind it.

A team needs to coordinate several AI-assisted workstreams and understand which results are ready for human review.

Projects with a next step

Organize work orders around the projects your team is actually delivering.

Context without the chase

Inspect sessions, knowledge and audit records from the same workspace.

Connected model access

Set up gateway access and explore attributed usage and budget headroom.

Make it work
in your environment.

The workspace is configured for your team. Product surfaces and integrations depend on the selected environment and setup.

Explore implementation services

Start with a real workflow.

Talk to Odin