We don’t build magic buttons.
We build reliable engines.
AI automation is not about AI. It is about finding the boring, repeated work that sits between your tools, and making a small, cheap connection that does that work automatically. The AI part is small. The connection part is everything.
The Three Rules of Good Automation
Internalize these, and you won’t build bad automations.
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Automate the boring, never the judgment
If a task has a clear right answer a junior could do, it’s automatable. If it needs your strategic judgment, it’s not.
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The AI is the typist, you are the editor
Every customer-facing output goes through a “draft → review → send” pattern. Shipping raw AI output is how you lose clients.
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Small, observable, and reversible
Build one automation at a time. Run it for two weeks. Watch it. Then build the next. Never wire up five at once.
The 5-Step Build Process
01
Spot it (The Audit)
Pick a workflow you did last week. Write down every step, in order, including the tools you opened. Find the copy-paste steps.
02
Frame it (Trigger → Action → Output)
Every automation is three parts: something happens (Trigger), AI processes it (Action), the result goes somewhere (Output).
03
Pick the Tools
You need a connector (Make.com), an AI engine (GPT-4o-mini), and a place for the output (Airtable or Gmail). No complex coding required.
04
Build it (The 90-Minute Build)
Wire the modules together, paste our tested prompts, run a test with sample data, and turn on the schedule.
05
Maintain it (15-Min Friday Routine)
Automations break when APIs change. A simple 15-minute check every Friday keeps your systems running for years.