Context for each project.
Guide the agent with instructions and a work scope. Execution takes place in an isolated environment for the project.
Explore the platform
Delegate work to AI. Give execution structure.
Releezy Loop coordinates coding agents to work on your project’s tasks. Define instructions, set spending limits and follow the work from execution to review feedback.
More capacity starts with a clear operation.
Choose the work, prepare context and follow what the agent does. Technical leadership keeps ownership of execution criteria.
Visible spending.
Set limits and see execution costs. Build a concrete basis for discussing the use of AI resources.
Continuity through review.
The agent from a run can resume work to address review feedback. The team follows and assesses the changes.
From a task to work ready for review.
Releezy Loop organizes execution. Your team defines what needs to be done and the criteria for accepting the change.
Prepare the task.
Choose the project and give the agent the problem, context and relevant constraints.
Follow execution.
Observe progress, consumption and work records within the defined limits.
Lead the review.
Assess changes and use feedback to guide the next adjustment before delivery.
Execution that fits your process.
Is Loop another code editor?
Releezy Loop coordinates agent work from project tasks. Its role is to organize execution, context, visibility and controls for the team.
How do I limit AI consumption?
Set spending limits and track run costs. These controls are part of agent operations.
What happens when review requests changes?
Releezy Loop can resume the agent responsible for the run to work on feedback. Changes remain within the project’s evaluation workflow.
Give your team an operation for AI.
Bring a type of task. Let’s show how to organize its execution with agents.