Keep the idea yours

Sarvesh Pathak

Head of AI Development

Published

5 min read

AI is very good at brainstorming and planning, and it makes work faster.

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When AI quietly replaces your own idea


Short answer: AI is very good at brainstorming and planning, and it makes work faster. The risk is that each round of suggestions pulls you a little further from the idea you started with, until you are building something polished, well-researched and average. Use AI to do the work faster. Keep the original thinking yours, and check your plan against it.

I have worked in software engineering since 2014. I started with C and C++, then Java, Python, React and React Native, and every modern stack along the way. I have seen a lot of change. The shift happening now feels different from anything before it.

The biggest change is speed. That part is real. When you brainstorm with AI, it gives you better suggestions, faster. But one thing worries me.

People slide into AI dependency without deciding to

Most people never consciously decide to depend on AI. They slide into it. Slowly, they lose the one real edge they have over it: their own thinking.

A senior business leader I know told me he is now unsure whether he can write an email himself. He used to be articulate. He wrote excellent emails. After months of auto-suggested replies and agents drafting everything, he can feel that muscle getting weaker.

Before AI, leaders had executive assistants. The assistant took work off their plate: scheduling, paperwork, keeping up with more people. The thinking stayed with the leader. Today people are offloading the thinking itself. "My agent knows everything about the company, so it can think for me."

That works, up to a point. The trouble starts when you stop checking how the AI reached its answer. It does a good job the first few times, so you assume it always will, and the auditing stops. Delegating the work is fine. Delegating the thinking is where the risk begins.

The mango tree and the banyan tree

Using AI for planning and brainstorming is a good idea, as long as you stay aware of the thought you started from.

Say you are planning a product. You have a small seed of an idea and want to grow it, so you give an AI the full context and ask for a plan. Sometimes the plan is good. Sometimes it is shaped mostly by what the model has seen before.

You start liking its suggestions. With each round you drift a little further from the original idea. You meant to plant a mango tree. You had the seed. After enough back and forth, leaning a little more into the AI's way of thinking each time, you end up planting a banyan.

AI makes the average sound brilliant

The purple shirt problem

This drift is not unusual. It happens offline too. You walk into a shop to buy a black shirt. Then you see an ad with someone your height, or your favourite actor, wearing a purple shirt, and it looks great. You walk out with the purple shirt you never wanted.

That is good marketing, and it is how personalised ads on social media work.

Advertising and product thinking are different things, but the pattern is the same: a quiet shift away from what you came in for.

Why AI suggestions pull you towards the average

AI is useful. But it learns from what already exists in the world. Its suggestions draw on things that have been written, said or built somewhere before. That makes it a strong research partner and a weak source of genuinely new ideas.

If you start with an original idea and refine it with AI over ten iterations, you usually end up with a polished, averaged version. You will probably like it, because it comes back backed by research and data. It is convincing. And somewhere along the way, the out-of-the-box thought you began with has gone.

Do not use a food processor to cut a tomato

AI is a powerful tool, yet we often use it for tiny jobs, like a two-line email that simple autocomplete handled well years ago. You do not use a food processor to cut one tomato. Save the power for the work that needs it, and keep the small thinking in practice.

How to use AI for planning without losing your idea

  1. Write the seed down first. Before you open an AI tool, write your idea in three or four sentences. That is your reference point.
  2. Ask for options, not answers. Ask AI to stress-test or extend your idea, not to replace it with a plan of its own.
  3. Check every few rounds. Compare the current plan with your original note. Is it still the same idea?
  4. Audit the reasoning. Ask how it reached a suggestion, and decide whether you agree.
  5. Do the small thinking yourself. Write the short emails and the rough first drafts. That keeps the muscle working.

Keep the thinking yours

Use AI to move faster. Use it to take work off your plate. But keep the thinking yours, keep auditing it and keep checking: are you still growing your mango tree, or did you quietly end up with a banyan?

At Incredible Visibility we use AI in every product we plan and build. We start every engagement with the client's original idea written down, and we keep coming back to it. If you have a seed of a product you want to grow, talk to us.

FAQ

Does using AI for brainstorming make ideas less original?

It can. AI suggestions draw on existing material, so repeated rounds tend to pull an idea towards familiar patterns. Writing your original idea down first and checking back against it keeps it yours.

What is AI dependency at work?

It is relying on AI for thinking you used to do yourself, such as drafting, deciding or planning, until you stop checking its output. It usually happens gradually, not by choice.

How should teams use AI for product planning?

Use it to research, stress-test and extend an idea you already hold. Keep a written statement of the original idea, review the AI's reasoning and make the final calls yourself.

Is it fine to let AI draft emails and documents?

For routine work, yes. The risk is losing the skill entirely. Keep writing some things yourself so the ability stays sharp.

About the author

Sarvesh Pathak

Sarvesh Pathak

Head of AI Development

Sarvesh Pathak leads AI development at Incredible Visibility, where he is the architect behind Mayavi and SCAI to SandCloud AI. He has been building software since 2014.

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