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NavigationHome»Generative AI»Crafting Your Own AI: How to use the GPT Store to build your custom GPT
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Crafting Your Own AI: How to use the GPT Store to build your custom GPT

Walter SchärerBy Walter Schärer15. April 20243 Mins Read
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OpenAI provides an app store-like platform for publishing and sharing GPTs, custom applications that take advantage of the underlying OpenAI infrastructure.

GPTs - OpenAI's customizable ChatGPTs

GPTs are customized versions of ChatGPT that you can customize for your specific purpose. GPTs allow non-technical users to create their own customized version of ChatGPT for specific tasks.

The GPT store allows you to share your custom GPT with others or use someone else’s GPT.

How to create a GPT - in plain English

In ChatGPT, press «Explore» in the top left corner.

How to create a GPT in OpenAI's ChatGPT
Press "Explore" to create a GPT

Press «Create a GPT» to build your custom generative AI agent.

This will take you to the page where you can enter the instructions that your GPT should execute under the «Create» tab using text prompts. Just have a conversation as if you were asking ChatGPT, including the back and forth that you would have with any expert coder. Or a gen AI tool, for that matter…

Meanwhile, your GPT application will be built automatically in the background.

Under the «Configure» tab you can edit and possibly change what ChatGPT understands your need is.

And in the preview window on the right, you can see and test a preview of your personal GPT, including an app icon that DALL-E 3 automatically generates from your instructions.

Custom GPT that classifies web content
My custom GPT for web content classification

Use cases for the GPT

My first GPT

  • reads a list of URLs that I provide by CSV file or by copy and pasting
  • visits the corresponding websites (Using the Bing browser)
  • reads and interprets the contents (Using GPT and my custom instructions)
  • classifies the pages into categories that I specified
  • returns a CSV with the newly categorized pages

And all this without having written a single line of code. Simply by wording my requirements in plain Englisch.

There are plenty of other use cases, because practically everything that can be done with a keyboard should be automatable with a multimodal GPT:

GPTs can

  • Query ChatGPT’s expertise (of course…)
  • surf the web
  • upload and download data
  • analyze and manipulate data (ChatGPT Code Explorer)
  • recognize the content of images
  • create images in the first place (DALL-E 3)

Limitations

As of November 2023, GPTs are only available as a beta. While the functionality delivers impressive results, the connection between the downstream services regularly fails.

This means that GPTs are not yet suitable for productive systems.

However, you should acquire an initial feel for the simplicity of the system and the wealth of possible applications immediately. For example, GPTs partially replace applications in Jupyter notebooks.

How to use Anaconda and Jupyter Notebooks to run code – as a non-technical person

For beginners: Create and execute code to manipulate data, such as in online marketing. Do it easily with Anaconda or Databricks and Jupyter Notebooks.

So how do you prepare for the opportunities and risks of the coming workplace revolution?

OpenAI
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Walter Schärer
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Walter Schärer ist ein Generative AI Marketing Manager und Solutions Architect und bloggt bei webmemo.ch über Trends in künstlicher Intelligenz KI.

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Über Walter Schärer — Translating complexity into clarity

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Dies ist Walter Schärers Blog über Online-Themen wie AI, Digital Marketing, Search Engine Optimierung (SEO), Content Marketing und Performance Marketing.

Walter Schärer arbeitet seit 1994 als Scrum Product Owner und Online-Manager im Web-Umfeld.

  • Von HTML / VRML kam er via
  • Powerpoint / Word zu
  • Confluence / Jira dann
  • Trello / Whiteboard (Edding 500) und organisiert sich aktuell mit
  • Asana / Google Drive, wenn er nicht gerade mit
  • ChatGPT / MidJourney oder
  • WordPress / Elementor experimentiert.

«Programmierung» begann er mit

  • NoCode von Make und IFTTT,
  • LowCode von ChatGPT, Lovable und Databutton mit Upgrade zu tatsächlicher Programmierung in
  • Python auf Anaconda und dann in
  • Google Colab / Gemini / Claude Sonnet sowie
  • Visual Studio Code / GitHub Copilot / Claude Code / Cursor Composer 1

Die Inhalte dieses Blogs spiegeln meine persönliche Meinung und sind von keinem Arbeitgeber beeinflusst.

© 2010 - 2025 Webmemo Consulting | Walter Schärer | Crafted — not generated.
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