Integrating LLM engines in your Delphi app with Chatterbox

But the real changes happened under the hood.

I’ve refactored the codebase to fully separate the AI client logic from both the UI and the network layer. And what does that mean for you? It means you can now use the Chatterbox AI libraries directly in your own code.

Let me say that again, loud and clear:

You can now use Chatterbox AI libraries from your code!

To test this, I created a very basic demo called EngineDemo. And naturally, for this announcement, I had to explain how the demo uses the Chatterbox libraries.

Since this was a brand-new development that the AI had no prior knowledge of, I decided to revisit an experiment I mentioned in a previous post—one that was only partially successful. This time, I took a different approach. But more on that in the next post.

For now, take a look at what ChatGPT had to say on the topic. Just keep in mind: this wasn’t a simple “click and publish” process. ChatGPT and I had a long back-and-forth, and the result of that collaboration is the article below.

Delphi and AI [8]: Write me an article about ComputeCore

This was supposed to be an article comparing three major AI players in their ability to write technical articles. In preparation, however, I made some mistakes ... :(

When I prepared for the initial article, I asked them to fetch the data from https://github.com/gabr42/ComputeCore/blob/main/ComputeCore.pas and write about it. (See the end of this article for the initial query and results.) At that moment, however, that link was not public yet. All three AIs ignored that and happily wrote about the code they knew nothing about. It was only Claude that complained about the bad link but I missed that while checking the results. 

So I decided to rerun the experiment on all platforms. I started by asking the engines the following question: 

Can you accesss https://github.com/gabr42/ComputeCore/blob/main/ComputeCore.pas and provide an overview of the code in one paragraph?

This worked with ChatGPT but both Claude and Gemini complied that they cannot access the link. I had to rerun the query with the link to the raw file for the latter two to work:

Can you accesss https://raw.githubusercontent.com/gabr42/ComputeCore/refs/heads/main/ComputeCore.pas and provide an overview of the code in one paragraph?

Analyzing the answer shows that the answers were not done purely on the basis of the linked code. Both Claude and Gemini have included details that they got from my previous article on ComputeCode.

In the answers below I marked hallucinated misinformation with red and information that was obviously retreived from different sources with blue.