What Did You Feed It? The AI Mistake Most Founders Make

A founder showed me his tools last month. Eleven subscriptions. He was proud of the stack.

I asked one question. What did you feed it.

Silence. Then a small confession. Nothing much. Just the questions.

That is the most common mistake I see. Teams buy AI like they buy software. Then they use it like a search engine. They type a request and expect judgement in return.

AI does not think for you. It needs context, criteria and control. Without those three, you are paying a monthly fee for better guesses.

I have seen this pattern across retail, distribution and brand relaunch work in several markets. The tool is never the problem. The absence of criteria is.

Context first

Context is not a technical step. It is a business decision.

Most teams skip it because it is slow and unglamorous. You must write down what you sell, to whom, at what price, with which promises. You must describe your voice, your boundaries, your non negotiables. You must list the objections you hear every week.

Then the tool has something to work with.

A prompt fed with real information returns real options. A prompt fed with nothing returns generic advice you could have found anywhere.

Three points that change the result

First. Build the prompt before you build the question.

Your prompt is an asset, not a sentence. Treat it like the brief you would give a new hire. Include your market, your customer, your tone and your limits. Add examples of work you consider good, and examples of work you reject. Update it every month.

This takes discipline. It also separates companies that get value from companies that collect subscriptions. The teams that invest a few hours here move faster later. The ones that skip it keep starting from zero.

Second. Decide where the human stays.

AI drafts. AI summarizes. AI prepares. AI cleans data. Let it do those things. It returns hours you can spend on people.

But some decisions never leave human hands. Pricing. Hiring. Apologies. Anything that touches trust. A machine can write an apology. It cannot mean one. Your customer feels the difference, even when they cannot name it.

Write the list of decisions that stay human. Put it on the wall. That single document prevents most of the damage I see.

Third. Measure outcomes, not activity.

A team that produces twice the content and keeps the same customers has not improved. It has added noise.

Track what pays. Conversion, retention, repeat purchase, margin, and the hours returned to your people. If a tool cannot move one of those, question it. Do not defend it because it was expensive. Do not defend it because everyone talks about it.

I have watched companies grow revenue by meaningful percentages while keeping a small team. The tool was not the hero. The governance was.

What nobody sells you

AI will not fix a vague brand. It will amplify it.

If your values are a page on your website and nothing else, the tool will produce content that sounds like everyone else. You get speed and you lose recognition.

Values must be operational. Which territories do you protect. What price do you refuse to break. Which partner do you defend even when it costs you. Those decisions are the input. AI is only the amplifier.

I run LATIN FLASH LDA with a simple rule. Technology with criteria. I do not sell smoke. I do not sell growth without purpose.

Before you add another tool, do the unglamorous work. Write the context. Set the criteria. Keep control.

Then the tool becomes useful. And the human stays in charge.

Here is my question for you. If your AI were switched off tomorrow, would your team still know what to sell, to whom and why.

Answer that honestly. It tells you where the real work is.

Read the previous article in this series: Why Most Founders Use AI Wrong