The agent infrastructure we built, battle-tested on ourselves, now powering three client projects

Agent Infra didn't start as a product. It started as frustration.

Running an AI consultancy means living across email, calendar, meeting recordings, invoicing, document storage, and project management — simultaneously. Every client conversation generates follow-ups. Every meeting has action items. Every project needs tracking. For a small team, the operational overhead can eat the day.

So we built what we needed: an agent infrastructure that connects to every tool in our workflow and handles the operational heavy lifting through AI. Meeting analysis, proposal drafting, action item tracking, financial overviews — all automated, all connected.

Before we ever offered Agent Infra to a client, we ran our entire business on it. Every intake, every proposal, every project, every invoice. If something broke, we felt it immediately. If something was slow, we fixed it the same day.

That's the difference between a product built from theory and one built from daily use. We don't demo features we don't use ourselves. Every capability exists because we needed it — and proved it works under real conditions.

Today, Agent Infra powers three active client projects — each completely different:

For Ever, it drives intelligent operations and workflow automation — connecting their tools and processes through AI agents that handle what used to require manual coordination.

For Trojan Monkeys, the creative agency, it powers their creative engine — helping a fast-moving team stay on top of briefs, projects, and client communication without drowning in admin.

And for a learning platform, it's becoming a buddy for teachers — an AI assistant that helps educators prepare lessons, track student progress, and spend more time teaching instead of managing spreadsheets.

Agent Infra isn't a SaaS product with a login screen. It's infrastructure — the layer that connects AI to the tools and workflows a business already uses. Each deployment looks different because each business is different.

What stays the same is the core: agents that understand context, connect to real data sources, and do useful work autonomously. Built by a team that uses it every single day.