๐งช The pattern hiding inside every AI agent disaster (and the playbook I built from it)
Spent last weekend going through the public record of AI agent failures across the past 16 months. Replit deleting a database and fabricating 4,000 fake users. Amazon's Kiro autonomously deleting an AWS production environment. Gemini CLI permanently overwriting a product manager's project. Claude Code + Terraform destroying 1.9 million rows. Different tools, different commands โ same architectural hole in every one of them: no rollback gate. The crazy part? 79% of organisations have adopted AI agents but only 11% run them in production. That 68-point gap is a TRUST gap. Clients won't hand over deeper access to an agent that can't undo itself. Which means rollback discipline isn't a safety feature. It's what unlocks the bigger retainer tier. โ
I put the full 7-Operation Rollback Playbook together โ every gate pattern, the actual rollback log format, the dev/prod separation pattern, why each operation bites hardest if you skip it. Attaching it directly to this post (no comment gate, no DM dance โ you're already inside). ๐ฉ Full breakdown is in this week's RFA newsletter: https://rapidflowautomation.beehiiv.com ๐ค Curious โ which of these 7 operations are you already gating in your client builds, and which ones do you think don't need a gate? Genuinely interested in pushback.