RageFormatter Q&A

Last Update: 23th August 2023

• What is RageFormatter?

  RageFormatter is an ironic webapp designed to convert your angry messages into polite ones. Suitable for your workplace and ready to send to your boss or colleagues. Follow the tutorial here if you want to learn how to use it.

• Do you save my messages or data?

  Absolutely No! RageFormatter does not store any data and is completely anonymous. Your messages however might be part of OpenAI or Google collections, but never connected directly to you. Rageformatter is safe and built with no commercial intensions.

• Who developed RageFormatter?

  RageFormatter is a side-project created by Davide Lupis and is powered by the OpenAI LLM model. The project is completely OpenSource and if you want you can visit the GitHub repository and contribute.

• How optimized is the model?

  The model is functioning, but it's still being optimized. If itdoesn't provide the desired output, feel free to try again! If the answer is truncated is because you have reached a pre defined token limit for your answer. These limits ensure the website to work properly for all users.

• Why the conversion isn't it working?

  In order to provide a decent response to all users and prevent abuses, There's a limit for the number of requests. If the webapp it's not working, you might have reached that limit. Just try again later or consider helping us with a donation to keep the app running. More about donations is explained below.

• How do i get good answers ?

  For best results, is suggested to provide a clear context. The model needs an ordinary work situation to analyze, not just random words. Define the subject and situation adequately. For example, think about the email you need to send or a future conversation with your boss.

• Can i use RageFormatter on mobile?

  Absolutely! The website is responsive and you can use it in all type of devices. You might encounter small differences but the tool will work in the same way.

• Why do you need donations ?

  Each time the model transforms your message there is an interaction with the OpenAI LLM, which means that we encounter a small cost. Even if the cost of a single call is small, the whole project needs to make a breakeven with revenues or it will stop.