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Expand AI use with scope, review and spending defined.

Releezy Loop organizes agent execution with spending limits and activity records. Releezy Reviewer supports code review, and Releezy Guardian follows the work that reaches the repository.

Plan adoption in my team Explore the controls
Set the conditions for each run
Set the conditions for each run

Start with what the agent can do.

Define the project and task instructions. Releezy Loop runs the agent in an isolated environment, with publishing controlled by the platform.

Set limits for execution.

Configure spending limits and follow execution records. The history lets you investigate resource use in the context of the task.

Make feedback part of delivery.

The Releezy Loop review queue resumes the original agent to address feedback. Releezy Reviewer produces findings to support PR evaluation.

Each control has a job to do.

Consistent adoption defines execution conditions, organizes review and follows the result.

Bounded execution

Project, instructions and spending limits guide work in Releezy Loop. Audit events provide a record of activity.

Review in the workflow

Releezy Reviewer produces findings. The Loop review queue lets the original agent address feedback and checks replies and thread resolution.

Results you can follow

Releezy Guardian observes PRs, reviews and durability. Your team uses that evidence to decide how to evolve adoption.

Expand from a well-defined use case.

Start with one class of task and make responsibility for following the result explicit.

  1. Configure execution

    Choose the project, instructions and spending limits for the first use case.

    Releezy Loop

  2. Define the review

    Configure project criteria for review agents and keep PR evaluation in the team’s workflow.

    Releezy Reviewer

  3. Observe before expanding

    Examine the history and agree on the adjustments needed for the next class of task.

    Releezy Guardian

Frequently asked questions.

What should we define before the first run?

Choose the project, task instructions, spending limit and who follows the review. Releezy Loop organizes execution in an isolated environment, with publishing controlled by the platform.

How does feedback return to the task?

Releezy Reviewer produces review findings. In Releezy Loop, the review queue can resume the original agent to address feedback received on the PR.

How do we decide when to expand?

Your team uses delivery, review and durability history from Releezy Guardian to assess the result. The responsible people decide the next scope and configure the conditions for the next stage.

Set the conditions for expanding AI use.

Let’s choose an initial workflow and the execution and review controls it needs.

Plan adoption in my team