Make AI More Useful And Understand What Your Customer Needs

Make AI More Useful Before Asking For Another Idea. AI can produce another list before your tea gets cold.

The more valuable job is helping you understand the person who might actually need what you know.

By Starting With The Customer, Make AI More Useful

A clever answer is not automatically a useful answer.

Start with the human problem before asking the machine to create anything.

Make AI More Useful By Asking Better Questions

Your AI Personal Assistance Crew becomes more valuable when you stop asking it to think instead of you.

Give it something real to investigate.

The Great AI Idea Machine Never Seems To Run Out Of Paper. An entertaining little routine is happening at kitchen tables and spare-room desks everywhere. Somebody opens an AI assistant, types, “Give me ten ideas for my next blog post,” and before the kettle has finished boiling, there they are. Ten ideas. Feeling ambitious, our new publisher asks for another ten. Then twenty headlines. Then perhaps a thirty-day content calendar because we have accidentally become the editor of a national newspaper before breakfast. It is impressive, certainly. The machine never sighs, never says it has run out of inspiration, and never disappears to the pub because the deadline is getting uncomfortable. The trouble is that somebody else can sit down ten minutes later and ask a very similar question.

Today’s part of the masterclass calls this sort of idea generation the “low-hanging fruit” of using AI. The point isn’t that asking for an outline or a few ideas is wrong. Those things can be enormously useful. The warning is that they are the obvious use of the technology and may produce material built from information the AI has already learned rather than something distinctive to your own market, customer or experience. The masterclass wants us to use AI at a more involved level than simply asking it to fill an empty page.

Make AI More Useful Before Mistaking More Ideas For Progress

Ideas have a peculiar ability to make us feel productive. A notebook containing forty possible products looks more businesslike than a notebook containing one, even when the person with one idea has actually finished his. The same can happen with artificial intelligence. Twenty headlines become fifty. Five possible niches become fifteen. Before long, your AI assistant has produced enough plans to keep a small department occupied until Christmas while the original piece of useful work remains exactly where it started. There is no shortage of possibilities. There is a shortage of decisions about which possibility deserves becoming real.

That matters particularly for the everyday learner coming online with decades of experience already sitting behind them. The interesting material is not necessarily hiding inside the AI. It may be sitting in the story of the business you once ran, the mistake you learned never to repeat, the shortcut an older tradesman taught you, the way you calmed an awkward customer or the lesson that took twenty years before it finally made sense.

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Asking AI to replace that material with generic ideas would be like having a cupboard full of seasoned ingredients and ordering a packet mix because it’s quicker. Make AI More Useful by giving it your raw material rather than asking it to invent your identity.

The Customer Was Sitting There Before The Keyword Arrived

The masterclass then makes a useful turn. It asks what content is actually trying to achieve. Whether the vehicle is YouTube, a podcast or another form of content, the answer it gives is not simply ranking for a keyword. It says the larger aim is to build trust with the people watching or reading. That changes the job considerably. If trust matters, our first concern cannot merely be what sentence an algorithm might like. We need some idea of the problem the person on the other side of the screen is trying to solve and the goal they are trying to reach.

That does not mean keywords stop mattering. They help people find the door. But once somebody has walked through it, repeating the words painted on the sign above the entrance will not keep them there. They need to recognise something of themselves in what follows. A retiree searching for help with AI may technically type “best AI tools for beginners,” but behind those five words could be a much more human worry. Perhaps he fears wasting money. Perhaps she has opened three platforms and found every one confusing. Perhaps both have begun wondering whether this new digital world arrived twenty years too late for them. The keyword found the visitor. Understanding keeps the conversation alive.

A Reader Can Smell A Brochure Before Reaching The Second Paragraph

We have all encountered the opposite. You click an article because the headline appears to understand the question in your head, only to discover the page exists mainly to march you towards somebody’s affiliate button. The wording may be polished. Every heading may have been optimised. There might even be little green ticks glowing reassuringly somewhere behind the scenes. Yet within two paragraphs you know the writer is more interested in the product than the predicament that brought you there. Nobody has committed a crime. It simply feels like a brochure pretending to be a conversation.

The masterclass argues that content that builds trust begins with a firm understanding of what the customer is trying to do or solve. That is a useful standard for our own work because it forces the sales machinery to wait outside for a moment. Before recommending anything, could we describe what life looks like for the person who might need it? What have they already tried? What is irritating them? What are they afraid of getting wrong? What would count as a small victory by teatime? Those answers provide better writing material than another list of “ten trending topics.”

Make AI More Useful By Giving It Something Real To Investigate

Ten Thousand Views Cannot Shake Your Hand.

The masterclass finishes this argument by putting the numbers back in perspective. For the type of commercial content it discusses, its concern is not simply collecting likes, comments or enormous view counts. It wants real people to watch useful content, follow real links, join a real list and eventually investigate real products or services. It explicitly distinguishes that model from an entertainment or inspiration channel where audience volume itself may play a different role.

That is wonderfully compatible with our own calm approach. We do not need every retiree in Britain. We need the person who recognises the problem we are discussing today. If fifty people watch and five think, That’s exactly where I’m stuck, those five are worth paying attention to. One may return tomorrow. One may join the list. One may eventually become the first customer for something created from a lifetime of experience. That is not viral marketing. It is relationship building, and AI can help us do it more thoughtfully if we stop asking it merely to manufacture more noise.

Open to See This Video, And This Is What’s Already Built,
Trained & Waiting For Your First Command.

Apprentice Task: Give Your Crew A Real Person To Understand

Today’s Apprentice Task begins with one person, not one tool. Take a sheet of paper and describe the person you want today’s piece of content to help. Do not begin with age, gender, or marketing jargon. Begin with the problem. Then write three undesirable effects that might be happening because that problem remains unsolved. Underneath those, describe their current reality in two or three ordinary sentences. What does the problem look like during their actual day? Finally, write one paragraph describing their future reality after making useful progress. Keep it believable. We are looking for improvement, not a lottery win.

Now give that information to one member of your AI Personal Assistance Crew and ask it to help you investigate what you may have missed. Ask for additional frustrations, fears, obstacles, and small desirable outcomes that could reasonably follow from the situation you described. Then comes the important human part: check the answers. Keep what sounds true. Reject what sounds invented, exaggerated, or completely unlike your reader.

You have now used AI in a different way

You did not ask it for an idea.

You gave it a human situation to investigate.

And that, Pal, is how we make AI more useful.

The machine helps us examine the road.

The human still decides where it leads.

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Make AI More Useful And Understand What Your Customer Needs: Make AI More Useful Before Asking For Another Idea. AI can produce another list before your tea gets cold. The more valuable job is helping you understand the person who might actually need what you know. By Starting With The Customer, Make AI More Useful