Mock demo for engineering leads
Let the agent plan. You decide what runs.
AI coding agents are fast, and a fast agent with a wrong idea is expensive. This demo shows the pause that sits between the idea and the action: a plan you can read, question and approve one step at a time.
Proposed plan · 6 steps
Illustration with synthetic data.
How a reviewed run works
The agent proposes
Before touching anything, the coding agent writes a plan: every read, edit, command and deploy as a separate step.
A person decides
Each step carries a risk label and its blast radius. Approve it, reject it, or leave a note for the agent.
Only approved steps run
Rejected steps are skipped and anything that depended on them is held back instead of guessed at.
The decision is recorded
Who approved what, what was held back and how the run ended goes into a searchable ledger.
Why it matters
Review a plan in two minutes instead of untangling a finished change in an hour, and keep your own keys and models.
What you can try here
Three synthetic tasks, a plan for each, and a simulated run that respects your decisions. Nothing leaves your browser.
Based on a real capability
Plan mode with annotatable plans and an audit trail exists in VibeControls, a control plane for AI-native engineering teams.