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AI

The part of your AI workflow
everyone skips.

Creative on one side, structure on the other, and a loop between them. The step people leave out is the one that tells you whether any of it is working.

Two sides. On one, AI: creative, fast, random, about 70% right. On the other, structure: slow, rigid, and generally correct. Most people pick a side and stall there. The useful thing is the loop between them, and there is one step in that loop that almost nobody builds.

Neither side is the answer on its own

Sit only on the AI side and you will spend your afternoons generating ideas, refining ideas, and being told your ideas are excellent. It feels enormously productive. At the end of the week nothing about how your business runs has changed.

Sit only on the structured side and you have your spreadsheets and your process documents and your standard operating procedures, all correct, all slow, and none of them getting better because nothing is feeding them.

What you want is a circuit. Ideas come out of the creative side, get filtered by you, harden into structure, get used in the real world, and what you learn from that use goes back around.

Going around the loop

Iterate on the creative side

Start where the tool is strong. Work an idea, push on it, take branches. This one is good, that one is wrong, drop it, follow the third. Remember the whole time that every step is 70%. If you are not enough of an expert to catch the bad third, you will follow it all the way to the end and be wrong in a very polished way.

Come out the other side with something you, as the expert, actually approve of.

Move it into structure, and use markdown

Now get it out of the chat window. And be careful what you move it into, because this is the spreadsheet problem again. Word documents, PowerPoint, Excel: they all carry a heavy underlying markup that spends your context budget without giving you anything.

Markdown files are the right bridge. Almost no overhead, readable by you, efficiently readable by the model. They are not as pretty as a formatted document. That is the only thing they give up.

Keep them inside a project in whatever tool you are using, so the file and the conversations that produced it live together rather than scattered across threads you will never find again.

Take it into the real world

Then actually use it. A customer has a bad experience, a job runs long, a month closes badly. Real conditions do things to a plan that no amount of iteration in a chat window will surface.

The step everyone skips

Here it is: report back on whether it worked.

That is it. That is the missing piece. Not a dashboard, not a project. A defined moment where somebody who saw the thing operate in the real world says whether it did what it was supposed to.

Without a report back you do not have a system. You have something you made up, running unsupervised, that nobody has checked.

Skip it and here is what happens, and it is remarkably consistent. The idea was 70% right. Nobody caught the bad 30%, because catching it was nobody's job. The process runs on the flawed version for a month, then two, then six. Everybody can feel that it is not helping. Nobody can point at why. And at the end of it somebody says: I hate AI, this thing is terrible, we are not using it.

The tool was never the problem. The loop was open.

Who should close it

Your staff, mostly. This is where the people conversation from last week pays off. Managers and employees are the ones standing in the real world half of the diagram. They see whether the drafted follow up actually made sense for that customer, whether the summary matched the call, whether the triage put the lead in the right place.

Which means you need a clean line between what is an AI idea and what is something you have adopted and are running on. That line is the quality control point, and it is the most valuable thing an employee can own in this whole arrangement.

What to actually put in place

Creative side for ideas. Your judgment as the filter. Markdown for structure. The real world for truth. And a report back that closes the circuit.

Next week, the last in this series: MCP servers, and how to get your CRM, ops and marketing data into one place so the loop has something real to run on.

Service · 02 · CatalystOS

An operating system for your business.

Custom CRM and AI agents built around the way you already work, with the structure underneath so the answers hold up.

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