The term "AI" is now widely used to make our tools seem more powerful. While I recognize the benefits of integrating AI into SF, it does not yet seem to be functioning stably in all areas. This could be due to a combination of insufficient documentation, lack of validation, or limited personal experience.
Here are two examples:
Create a sample data model with AI
I recorded the description in Dutch (if this needs to be in English, please mention it in the instructions). The result after performing this enrichment is: "ERROR: The data model is not valid JSON." This error message is meaningless to me. Is there another way to zoom in on what is going wrong?
![](https://uploads-eu-west-1.insided.com/thinkwise-en/attachment/d3ac9767-23c8-4456-a110-755b54a4c8b8.png)
Add comments to code with AI
As a developer, I currently have no idea what will be changed apart from the comment lines being added or revised in the template. It would be helpful if this screen already showed what is going to be changed by means of a comparison. Currently, you can only guess and compare different templates afterwards.
![](https://uploads-eu-west-1.insided.com/thinkwise-en/attachment/38ac3aea-0ea7-4edd-ab87-c6118fd81b79.png)
I don't want to forget to mention that there are certainly already some great working applications that have been released.