We turn your idea into a working, tested app or AI assistant, live on the web. Then we build in the habit most AI projects skip: every correction worth keeping becomes a rule, a test or a skill, so the same mistake doesn’t come back.
It does good work, you fix three things, and the next day it starts from zero. The model is smart. The workflow around it isn’t. We fix the workflow.
Your project is run like a small engineering team: planned, built in parallel, checked by someone who didn’t build it, and only then put live.
Your idea becomes a plan: who uses it, what success looks like, and small, testable steps, mapped so independent work can run in parallel.
Product, engineering, design, testing and launch specialists. They’re AI agents we direct and check, each given only what its task needs.
Every step ends with real code, test results and screenshots. “Done” means it works, not that it was written.
A separate reviewer checks the work line by line against the plan, plus our 5-point security quick scan, before you see it.
First on a private preview link. Your real site or system changes only after you approve it in writing.
You own the code, the accounts and the domain, with a plain-English report of what works, what’s left, and what we’d improve next.
A normal AI project ends when the chat ends, and most of what it learned disappears. Ours ends with one more step: did this run teach us anything worth keeping?
A one-off fix stays with the task. A mistake that shows up twice becomes a rule. A rule we can check becomes an automatic test. A procedure that repeats becomes a skill. We don’t pay for the same lesson twice, and neither do you.
What it built: the app, the answer, the document.
What was decided, what’s still open, and the next step.
What went wrong, and what a person had to correct.
Should this become a skill, a rule, a test or a memory?
Not a demo, a slide deck or a promise: working software and the system that keeps it improving.
“It feels smarter” isn’t a measure. On Automation Care you get these every month. If they aren’t moving, we tell you, and we fix the process.
How often a result is right the first time, with no correction.
How often a mistake we already fixed comes back. This should fall toward zero.
Minutes your team spends checking the AI’s work. This should shrink.
What each accepted result really costs to produce.
How many of your corrections became lasting rules, tests or skills.
No. It’s a working app or assistant built around your business, your data and your rules, using the right model for each job (Claude, GPT, Gemini or a private open model). It ships with tests, guardrails and a hand-off to a person.
No, and that’s on purpose. It can propose an improvement after a mistake. A person reviews and approves every change, and then every past mistake is re-checked to prove nothing broke.
You do. The code, the accounts, the domain and the AI keys are set up in your name. If you ever leave, everything stays with you.
Model usage is billed to your own account, and a monthly spending cap is built in. We estimate it in your quote, so there are no surprises.
It depends on what you need. After a free consultation you get a written, fixed quote with a timeline, and you approve it before any work begins.
Only if you want it to. Any feature that emails or messages customers ships switched off, and you turn it on, with consent and unsubscribe built in.
A free consultation. Plain English, no pressure, and a fixed quote before any work begins.
Hi! Tell me what’s going on with your business tech and I’ll point you to the right service. A website, IT trouble, a security worry, or AI?
AI-generated guidance. For bookings, email [email protected].