AI RUNNER

Features

From intent to verified execution.

AI Runner combines repository reasoning, controlled execution, approvals, and verification in one autonomous engineering workflow.

Autonomous workflow

Reason. Act. Verify.

AI Runner works through engineering objectives while keeping execution observable and important changes under explicit control.

01

Repository reasoning

Inspect source code, configuration, workspace context, and project structure before deciding how to proceed.

02

Controlled execution

Execute terminal operations and controlled changes through deterministic runtime boundaries.

03

Verification loops

Continue from execution into verification so outcomes can be checked against the engineering objective.

Stay in control

Autonomy without giving up oversight.

Approval

Explicit checkpoints

Review controlled mutations individually, approve sequentially, reject a proposed action, or stop execution.

Speed

Auto-Approve

Reduce repeated manual approvals when appropriate while keeping execution inside AI Runner's runtime controls.

Models

Provider choice

Work with supported models from OpenAI, Anthropic, and Google through a unified AI Runner workflow.

AI Runner

Engineering work, carried through.