Agent Action Policy

Reviewable action logs and rollback plans for every step an AI agent takes

Problem

More people are asking how to control their AI agents, while open-source safety layers and prompt injection defenses are appearing, showing real worry about agents acting freely in live environments. Existing tools focus on blocking, but ordinary users still lack a readable log of what the agent changed and how to undo it.

Solution

A lightweight execution recorder placed between the agent and the real environment, logging every tool call, file change, and API request into a timeline with impact scope. Each task ends with a readable summary and rollback suggestions, plus one-click file restore.

Users

Indie developers and small teams connecting AI agents to email, documents, and codebases

MVP

Record tool calls and file changes; generate timeline view; support single-step rollback; output risk summary at task completion

Revenue

Open-source core with cloud sync and team audit subscription from $10/month

Why now

Agents are moving from demos to real workflows, making safety and traceability a blocker, but big-vendor solutions skew to enterprise compliance; indie developers can start with readability for individuals and small teams