Release notes for an AI-native company.

Alignment Hub, AI Ops, LS Hub, a code name we dropped after three days, LS HQ, and on October 25, Living Security OS. Each name fit until the system outgrew it. The last one describes what it is: the way the company runs.

The week of October 19 to 25 produced 1,133 commits, more than the first five months combined. A small team working with agents now ships at a pace I couldn’t have staffed for. Velocity is now a measure of people and agents together.

When agents do the work, people approve it one card at a time, with the agent’s recommendation on the card. We added swipe-to-approve and removed it the same day. Fast approval without context is how mistakes get through.

Marketing moved into loops for content, SEO, social, partners and events. Since that week there has been no separate marketing plan. The plan is the system, and it updates from signals.

When the data shows an account slipping, an agent now drafts the plan to turn it around, from everything it can read. A person reviews it and decides. This is the use case that made me trust agents with work that matters to customers.

I wrote a design standard and made tests enforce it. Retired patterns can’t come back. A rule the build enforces holds up when agents are shipping hundreds of changes a week.

The weekly forecast spreadsheet is gone. A loop now preps the forecast call from live data, and the forecast lives in the system. Nobody rebuilds it by hand on Sunday night anymore.

Feedback got its own board and an agent working it. Requests get picked up without anyone triaging them first. Triage was the first job I fully handed to an agent.

I turned the app into a platform with connectors, models and a shell other apps plug into. The next day, people across the company mounted ten apps. The use case I hadn’t seen: non-engineers composing their own tools.

The weekly update agent drafted each person’s Monday message from what it could already see, before asking them anything. That became the pattern for everything after: derive first, then ask one question.

Three months of almost no growth. The design depended on people typing updates into forms every week on top of their real work. A system that waits for people to type stalls. I stopped designing for it.

Sixteen loops went live in two days. Engineering signals, metrics, work in progress and Slack read on their own schedule. The system started noticing things while we worked.

I connected Claude to everything in the app. The use case shifted from filling in forms to asking questions across all of it. The same week I invited the team to build their own apps from a single Slack command.

The plan had five features. All five shipped in three days. That reset my sense of what a CEO can build personally, and how fast.

I started by replacing the spreadsheet we used for leadership planning. The first use case was small: AI suggesting values on a form. I thought of AI as a helper inside a tool.