AI Agent Governance Framework — Ship Autonomous Agents Without Getting Burned
Most teams shipping AI agents are one bad afternoon away from a public incident.This is the operational playbook I use to keep a 24/7 fleet of autonomous agents in production without recurring fires — covering scope boundaries, blast-radius control, audit trails, human-in-the-loop checkpoints, kill switches, and the eight failure modes that actually bite (not the ones LLM safety papers worry about).What you get:• The Eight-Layer Governance Stack — from prompt-level guardrails up to org-level incident response• The Trust Ladder — a tiered permission model for letting agents do progressively more without losing control• Blast-Radius Worksheets — fill-in templates for scoping any new agent before it ships• The Kill-Switch Spec — what a real one looks like, why "just stop the process" isn't enough• Audit & Replay Patterns — so when something goes sideways you can answer "what did the agent see and decide" in minutes, not days• The Eight Failure Modes — with concrete mitigations for each• A 60-day rollout plan from "we have agents" to "we have a governance program"Written by Adrian Gercak, builder of Heso (multi-agent orchestration) and OpenClaw (browser bridge for Claude). Based on operating a real fleet at 753 messages/day, 485 tool calls/day, 0.13% error rate.For: engineering leads, founders, and platform teams who already have agents in production (or are about to) and want a defensible governance posture before something breaks publicly.Format: long-form playbook delivered as on-page content. Read it once, reference it forever.
Get it → adriangercak.gumroad.com