A2B explained
Business-first explanations of controlled agent execution without hiding the technical reality.
Creator of A2B · AI agent governance
I build A2B: control for AI agents before they act.
A2B is an AI agent governance protocol with a reference implementation architecture. Its core invariant is Identity → Policy-before-execution → Immutable Ledger.
What this site documents
A practical record of the concept, the controls behind it, and the engineering discipline required to move beyond a demo.
Build in public
Progress notes, prototypes and explicit limitations from A2B and its reference implementation.
Engineering foundations
DevOps, reliability and production lessons that support credible agent governance.
From concept to implementation
A2B is the umbrella protocol. Operator is the first hosted control product in development. The broader agent2business.ai platform remains a future direction.
A2B protocol
The governance model for identity, pre-execution policy and durable evidence.
Understand A2B →A2B Operator
The first hosted A2B control product. It is under active development and is not offered as a public subscription.
View current direction →Public work
Code, writing and project traces that make progress and limitations visible.
Visit GitHub →Latest writing
A2B, controlled AI agents, production infrastructure and the lessons connecting them.
A2B Workflows12 min read
How I Automate Follow-Up Without Losing Control
A practical first-person guide to follow-up automation: how I think about AI follow-up workflows, approvals, scheduling, and control before I let anything run inside a real business.
Read article →Kubernetes10 min read
k8s Platform Components: Practical Breakdown for Reliable Cluster Operations
A practical, human-first breakdown of k8s platform components: how standardization reduces drift, improves reliability, and makes Kubernetes operations calmer.
Read article →DevOps Engineering11 min read
How I Build Production DevOps Systems (Kubernetes, Terraform, GitOps, Observability)
A practical first-person blueprint for building production DevOps systems with Kubernetes, Terraform, GitOps, and observability, based on real incident lessons.
Read article →Follow work that is already public
New writing stays here. Code and project traces go to GitHub; shorter professional updates go to LinkedIn.