An AI agent shipped 11 features in 6 hours without a single human approval. Feature 12 was a database migration. It took prod down in under 4 minutes. The AI did exactly what we configured it to do. We just hadn't decided what it shouldn't touch. We built a tool called Relay. It takes a software project from idea to deployed code. You give it a concept, it creates GitHub issues, coordinates AI models for each step, pushes to the repo, and runs the full cycle from planning to review to deploy. The team ran it in auto mode and loved what they saw. 11 features. 6 hours. No standups. No tickets rotting in backlog. Then the migration task came up. The model had 94% confidence. Every step passed automated review. What we hadn't defined: which types of changes required a human decision regardless of confidence score. We never drew that line before shipping. The fix was answering 3 questions we now require before any team goes into auto mode: A) What decision types require human sign-off regardless of model confidence? B) Who is the named owner when an exception gets flagged — not a team, a person? C) What is the rollback window and who can trigger it in the first 30 minutes? That's why Relay has two modes: auto and guided. Guided mode builds the approval checkpoints into the workflow before the first task runs. You define which steps the AI owns and which steps a human must touch. The prod outage was a design gap. The AI filled it perfectly. Have you had a similar experience with AI? #AIWorkflows #DevOps #AIAgents #SoftwareDevelopment #AI