Pick how much we own once it works.

One trigger, one job of AI judgment, one delivered result, wired into a tool you already use. The test: if it fits the sentence "when X happens, AI does one job and delivers one result into your tool," it's one system. A carousel agent, a weekly newsletter draft, a Monday ad-spend report, each is one system.

You can, and you'll have a chat window, not a system. ChatGPT waits for you to open it, prompt it, check it, and paste the result wherever it needs to go. That's you, operating a tool, every day. What we build runs without you: it triggers itself, pulls from and writes back to your tools, and delivers the result where it belongs. You already have access to AI; what you don't have is someone making it run.

One named system, mapped in week one, built through weeks two to four, installed and handed to a trained owner on your team in week five, then hardened against real usage in week six. One per sprint, not two small ones. Between sprints, a request queue handles small fixes and additions.

The AI writes the code in hours. That was never the hard part. The six weeks is for your business: your real workflow, your tools, your data, and your team actually using it on a Tuesday when nobody's watching. You'll see working versions within days and we iterate them weekly, but "live" means running on real data with a real user, not demonstrated.

Bounded means a single trigger-to-output loop: one trigger, one output, one or two tools, no database or dashboard built from scratch, and we can scope it without a discovery phase. The moment it needs several systems handing off as one pipeline, a custom dashboard or data store, or discovery before we can even scope it, it stops being bounded and belongs in a wider engagement.

A free call attracts tyre-kickers; a paid diagnosis attracts people serious about fixing the problem, and it means we do real work before we meet, so the call is substance rather than discovery. It's credited in full against your first month if you proceed. Either way, you keep the plan.

One named system built and installed every six weeks, a dedicated implementer on the build, a weekly working session where the next build gets specified, and your team trained to run what we ship. Plus us running and maintaining everything already live: fixing breaks, updating prompts, and adapting as tools change.

Yes, and that's the point. Every build ships with a one-page runbook and a trained named owner on your team. A system with no named owner on the client side is how week two kills you. You stay out of the tools; someone who isn't you learns to run and change it.

No. Cutting the team and leaning entirely on AI doesn't make a business lean, it makes it a one-person business with better tools. The whole approach assumes a team that becomes more capable, not smaller.

A person we've trained and certified on the exact systems we build, placed onto your team. The difference from a raw VA is the training: you skip teaching someone the tools and re-teaching them every time something changes. We vouch for their training; you direct their work.

Because AI doesn't stay still. Models update, tools change their APIs, integrations drift, and your business moves. A one-time build works for a while and then quietly stops. The monthly keeps everything running, current and improving. You're paying for it to keep working, not for a file.

Show up to the weekly session and give us the access we ask for, and if the first sprint's system isn't live in six weeks, we keep working until it is at no extra charge. If we're asking you for money every month, we should have something on the line too.

Yes, and most people do. Start with the audit to see how we think, move to an ongoing engagement when you want the work off your plate, and widen the scope when you're ready to hand over a whole function. Three months to start, then month to month.