/method
One reliability loop, applied at every layer.
The stack changes. Observe, automate, validate, recover, and hand off stay.
// the operating loop
DEPENDENCIESUnderstand what the system rests on, from network and storage through software and people.
STATEMake desired state, ownership, and change history explicit.
OBSERVEInstrument the real system so drift and failure become visible.
AUTOMATETurn the repeatable path into a paved road with rollback points.
VALIDATEUse evidence and an independent check before promoting change.
RECOVERDesign the failure path before the system needs it.
HAND OFFLeave operators able to run and improve the system without its author beside them.
For agentic work the same discipline is published in four tiers: brief the agent, lay the rails, gate the work, govern the loop. The twelve factors are at 12factoragentops.com.
// operator beliefs
Seven from running the platforms. The discipline came first; the beliefs are what survived it.
01AI is a slop cannon
Raw output is cheap, infinite, and wrong somewhere. Validation, provenance, and release discipline forge slop into trust.
RECEIPTThe AgentOps repo runs the loop on itself: a fresh verdict records what changed and which checks support it.
02Zero-trust for AI output
Treat model output like untrusted network traffic: validation gates before execution, always. The agent that wrote the code never grades its own work.
RECEIPTAgentOps binds a fresh verdict to unchanged acceptance, the actual changed files, and evidence for each acceptance check.
03Air-gapped is harder
Air-gapped delivery removes the easy fallback. Constraints manufacture reliability.
RECEIPTSelf-hosted models served on a 100+ GPU fleet under air-gapped operational constraints.
04Git is institutional memory
Commits record what changed. Beads record why. A maintained wiki preserves the reviewed patterns worth reusing.
RECEIPTAgentOps keeps intent snapshots, candidate manifests, evidence references, and fresh verdicts as ordinary inspectable files.
05Context is a budget
Always-on instructions compete with the task itself. Keep universal rules small and load procedures or references only when the work needs them.
RECEIPTAgentOps skills carry procedures and references on demand; the active bead stays the durable source of intent.
06Run the platform like a fab
Maximum throughput at maximum yield, gates at every step. Tokens, deploys, decisions: same discipline.
RECEIPTGitOps promotion across 100+ clusters: 58 applications, automated rollback, full artifact traceability.
07Evidence over narrative
Every claim traces to an artifact. If it can't be shown, it isn't said.
RECEIPTEvery number on this site maps to one receipts inventory; /work states each case as problem, constraint, built, number.
// teacher beliefs
Five from teaching it: flag officers first, then engineers, now everyone else.
08Plain words are a technical skill
If it can't be explained simply, it isn't understood yet. Briefing a flag officer and teaching an engineer are the same discipline: respect the listener, kill the jargon, keep the truth.
RECEIPTThree years of daily technical briefings to flag officers, SES, and O-6 leadership.
09Primitives first, no magic
Frameworks hide the thing you'll be debugging at 2 a.m. Teach the raw parts; let people earn their abstractions.
RECEIPT/training runs live in a terminal, no slides, and every session ends with a runnable artifact the team keeps.
10The multiplier ethos
The metric that matters: everyone near you ships faster. Developers, and now AI users, the new developers.
RECEIPTOnboarding docs that cut engineer ramp-up from ~3 months to ~1 week.
11The mission
Models make capability cheap. The job is getting dependable AI into constrained environments without burning the house down.
RECEIPT/ai-partner translates the same production discipline into plain language for people who will never read a runbook.
12Same bottleneck, new workforce
DevOps made software delivery reviewable and recoverable. Agent delivery still ships on hope unless the same gates exist.
RECEIPT12-Factor AgentOps: the DevOps playbook rewritten for agent delivery, public at 12factoragentops.com.
// see it run
Real Claude Code and Codex sessions running the AgentOps loop end to end. Nineteen seconds, silent, lightly edited for pace.
// one public receipt
The beliefs, operationalized as inspectable artifacts.
AgentOps
An operating loop for coding agents: one intent, one bounded build, one fresh verdict, plus a Go CLI, portable skills, and marketplace kits · 400+ stars on GitHub. This site, the CLI, and the kits were built with the workflow they document.
// independent practice
I also run this loop with engineering teams on coding-agent workflows. Start at /training.