01/07/2026
A Custom GPT sounds more technical than it actually is. When you first hear โbuild a Custom GPTโ, it can sound like something only a developer, AI expert or very technical person would do.
But the builder itself is surprisingly understandable.
The more important question is not, โCan I use the tool?โ
It is, โDo I know what I want this GPT to become?โ
When you create a Custom GPT, the main pieces are:
Name - This gives the GPT its identity. Not just a clever title, but a clear signal of what it is there to help with.
Description - This explains what the GPT does. It helps the user understand when to use it and what kind of support to expect.
Instructions - This is the most important part. It tells the GPT how to behave, what role to take, what to prioritise, what to avoid, how to structure answers, and what standards to follow.
Conversation starters - These are suggested prompts that help someone begin using it well. They are useful because many people stare at a blank box and think, โWhat do I ask?โ
Knowledge files - These are the documents, notes, frameworks, examples or reference materials the GPT can use. This is where your expertise, process, IP or business context can start to become much more accessible.
Capabilities - These are the extra things you may allow it to do, such as browsing, analysing files, creating images or working with data.
Testing - This is where you check whether the GPT actually behaves in the way you intended.
Does it understand the task?
Does it follow the instructions?
Does it give useful answers?
Does it stay within the right boundaries?
Does it sound right?
So, in simple terms, a Custom GPT is made from:
Identity.
Purpose.
Instructions.
Starting prompts.
Knowledge.
Capabilities.
Testing.
That is why I find this space so interesting.
The builder is not the hard part.
The strategic thinking behind the builder is where the value sits.
For founders, experts, educators and consultants, this matters because your best thinking is often scattered across notes, documents, courses, calls, frameworks and your own head.
A Custom GPT can begin to organise some of that into a focused support tool.
Not to replace your judgement.
But to make your judgement easier to access and apply.
That is the shift from playing with AI to starting to build with it.