Review pressure needs a visible queue before delivery status can be trusted.

Agent Harness already treats review as part of the product surface. The workflow model keeps a dedicated review state, the project detail view counts tasks sitting there, and the kanban board exposes review as its own lane. That matters because AI-assisted delivery gets noisy when it talks about progress without showing how much work is waiting for approval.

LockedIn Labs overview

Canonical company and studio context for governed product engineering and delivery review.

Operating-model article

Source-backed context for how enterprise AI work stays inspectable instead of purely automated.

Live control surface

Return to the dashboard for project scans, task flow, branch context, and review lanes.

Grounded in the current build

This note is based on behavior already visible in the product code and UI, not on a future roadmap.

Review is a first-class workflow state

The current product model separates backlog, in-progress, review, and done. Review is not inferred after the fact; it already exists as a distinct delivery lane in the workflow model.

Project detail surfaces review counts explicitly

The project view counts review tasks alongside backlog, in-progress, and done. That keeps approval pressure visible instead of burying it inside total task volume.

The board keeps a dedicated review column

The kanban interface includes a review column, which means the product already treats approval and inspection pressure as something teams need to see and manage directly.

Status language breaks when review backlog is hidden

A project can look active and healthy while decisions are actually stalled in review. AI-assisted delivery needs the queue itself to be visible before it can describe momentum honestly.

Coordination without review visibility creates false certainty

If an agent proposes next steps without showing how much work is sitting in review, the system can sound confident while ignoring the real approval bottleneck.

Release pressure is shaped by review capacity

The issue is not just how many tasks exist. It is whether the team has enough review capacity to move implementation toward merge and release safely.

Review visibility helps teams challenge automation

When review pressure is visible, humans can decide whether the next useful action is more implementation, more cleanup, or simply getting the right reviewer into the lane.