Aglet

Turn production evidence into work your team can finish.

Aglet brings production and customer Signals into one governed loop: prioritize a Work Item, give people or agents the right context, and verify what changed.

Create your first Project See the first step

Human approval stays in control. Unknowns stay visible.

See one useful Signal become an actionable Work Item.

Create a Project, issue an ingestion key, send a synthetic error, and open the grouped work it creates. The first result is concrete, inspectable, and yours to direct.

  1. 01

    Create a Project

    Start with one clearly bounded environment and the people who can act on it.

  2. 02

    Send a known test

    Use a synthetic error to confirm the path without mixing in customer data.

  3. 03

    Choose what happens next

    Review evidence, assign a Work Item, and keep any Proposed Action behind an Approval.

Every step leaves a trail you can verify.

Signals with context

Group production and customer evidence into a shared view of what changed, who is affected, and how fresh the evidence is.

Work with boundaries

Turn a Signal into a Work Item, then make ownership, Agent Runs, Proposed Actions, and Approval requirements explicit.

Verification you can trust

Record what was tested and what remains unknown after a change. A result is not complete just because an action ran.

Keep the memory between deploys.

Review new and regressed Signals, direct people or agents, approve bounded actions, and watch Verification close the loop. The value compounds as decisions, evidence, and outcomes stay connected.

Preview access starts with one small Project and a bounded test path. Paid plans can expand projects, retention, integrations, policies, and agent modes after pricing is validated.

Make the next useful decision easier to see.

Bring one real production question. Leave with a clear first Work Item and an honest next step.

Create your first Project