I built SnapFlow after seeing how risky it is to let AI make changes to cloud infrastructure. AI can generate a plausible plan, but “plausible” isn’t enough when one wrong command can cause downtime, security issues, or data loss. The original idea was an AI DevOps copilot. As I tested it, the bigger problem became clear: teams don’t only need AI to plan changes, they need independent proof that the change was safe and worked as intended. So SnapFlow evolved into a verified execution layer. It separates AI planning from independent auditing, keeps humans in control of risky actions, uses secure cloud connections without storing credentials, and creates an audit trail for every run. We’ve been testing it on real engineering workflows, learning from both successful and failed runs, and shaping the product around the trust and safety requirements of production infrastructure. We’re launching to meet DevOps and engineering teams who want to automate more without handing production blindly over to an AI agent. I’d love your feedback, especially on where you’d want verification or human approval in your own infrastructure workflow.

SnapFlow

The verified execution layer for cloud infrastructure.

The verified execution layer for cloud infrastructure.