MARCUS PATMAN
Expertise · 06

Agent
Governance

Not more agents — the harness that governs them. Agent governance is the difference between an impressive demo and an engineering system you'd let touch production.

What I mean by it

Direct answer Agent governance is the control system around AI agents: independent review of every change, fail-closed gates, isolated execution, persistent auditable memory, and human merge authority. Trust is never transferred — it is earned per diff, per verdict.

I learned this the direct way. In 2025 my agentic environment (Turbo Flow) scaled to 60+ agents and 215+ tools — and the bottleneck stopped being capability. It was governance: who checks the work, where does context live, and who is allowed to press merge. Turbo Rig is my answer.

The control loop

1 Specification→ 2 Builder (isolated worktree)→ 3 Independent gate, cross-family→ 4 REVISE loop until APPROVE→ 5 Human merge→ 6 Verify in production

Compressed: 215 tools → 60+ agents → 3 roles → 1 independent gate → human merge.

The evidence

868Gate verdicts / week
79%Verdicts: REVISE
141PRs merged, human-merged
104Isolated lanes
89.7%Pass rate · cross-family
71.6%Baseline pass rate

7-day window Sept 14–21, 2026 (5 repos) + 116-task controlled study · published by Adventure Wave Labs

The two numbers I'd want any skeptic to start with: 79% of verdicts are REVISE — the gate rejects most agent output, which is exactly what an honest gate should do — and cross-family review moved pass rates from 71.6% to 89.7% in a controlled 116-task study. Governance isn't overhead; it's the yield.

Where this lives

Common questions

Isn't a 79% rejection rate wasteful?

Inverse it: without the gate, that 79% ships to production and becomes incident review. The REVISE loop is cheaper than the rollback loop — and the $416 total review spend for that measured week is a rounding error against engineering time.

What would you tell a team starting with coding agents?

Write the constitution before you grant the tools: what agents may touch, what they may never do, who reviews, who merges. Then make the gate independent of the builder — different model family if possible. Everything else is tuning.

Does governance slow agentic work down?

It slows the merge down and speeds everything else up: less rework, fewer incidents, durable context across sessions. 141 human-merged PRs in a week is not a throughput problem.