GPTs in ChatGPT: personalized AI without coding

A GPT is your own version of ChatGPT that you configure once with instructions and material, then reuse the same way every time. Instead of explaining the role, tone, and background to the chat from scratch on every visit, all of that is already baked into the GPT. So you build yourself a specialized helper for a recurring task. And it works without a single line of code.

How to set up a GPT

The setup is quickly explained. Four steps are enough:

1. 01Set the goal: What is the GPT for? Customer support, creative content, technical questions. The clearer the task, the better the result.
2. 02Give instructions: Describe how it should answer. Language, tone, fixed terms, things it should avoid.
3. 03Add material: Hand it the documents it should rely on. Your FAQ, a product description, or a style guide, for example.
4. 04Test and sharpen: Run a few real questions through it and adjust the instructions until the answers land.

Setting it up actually happens as a conversation: in the configurator, ChatGPT asks what the GPT should do and builds it with you.

Five use cases

The list could go on. Five examples that work well in practice:

1. 01Customer support: Fed with your own FAQ and help texts, a GPT answers recurring questions instantly and at consistent quality, around the clock.
2. 02Ad copy: Writing ad copy takes time. A GPT that knows your brand and tone delivers variants as a starting point, leaving you to pick and polish.
3. 03Explaining use cases: You have a product and want to make it tangible for different customers. Name the audience, and the GPT writes fitting application examples.
4. 04Technical questions: Questions about a specific setup, say a Raspberry Pi running Linux, can be bundled into a specialized GPT that already knows the context and does not need to be re-explained each time.
5. 05Translation: A GPT that translates whatever you type into a fixed target language, with no further instruction, saves you a few steps every day in multilingual communication.

Keep it to yourself or share it

A GPT can stay private, just for you. But it can also be shared, by link or within a team. That is the real lever for everyday work: everyone draws on the same well-built helper instead of each person tinkering with their own prompts. It keeps results consistent and saves the ramp-up.

Bonus: call a GPT mid-chat

You do not have to open a GPT separately. In an ongoing conversation, an @ followed by the name is enough, and the chosen GPT takes over the next answer while the previous context stays intact. For example: “@CustomerSupportGPT, how do I reset the password?” That way you pull in the right helper without losing the thread.

What the free and paid versions can do

Something has changed here since this post first appeared, so here is where things stand: creating and sharing your own GPTs still only works on the paid plans. Using ready-made GPTs, your own or the ones from the GPT Store, is now possible on the free version too, within its usage limit. The @ in chat stays reserved for the paid versions. So if you just want to try things out, you get far for free. If you want to build your own, you need a subscription.

GPTs are a good place to start, because the effort is small and the effect is felt right away. Pick a task you already handle every week and pour it into a GPT once. These are exactly the kinds of exercises we run in workshops: on real tasks from everyday work, with something that stays with the team afterward.