ConradAI Product Information

Conrad AI is a semi-serious social media aid that uses a language model to predict the potential consequences of your posts before you share them. Inspired by the fictional Conrad app from The Simpsons, Conrad AI aims to help users anticipate outcomes and potential reactions to their social content. You can share your draft posts and receive predicted consequences, with up to 500 characters left in the prompt for input. Users can post their results with the hashtag #ConradAI. Made with 😉 by Jan Hillesheim, available in dark_mode and light_mode.


How Conrad AI Works

  1. Enter or paste your draft post (up to the platform’s character limit).
  2. Submit to receive predicted consequences and potential reactions across audiences.
  3. Use the insights to adjust your post before sharing, or decide to proceed as is.

Note: The tool uses a large language model (LLM) to analyze social dynamics, potential misinterpretations, and possible outcomes such as misunderstandings, backlash, or positive engagement.

How to Use Conrad AI

  1. Enter your post draft. Keep it within the character limit (up to approximately 500 characters left for the prompt).
  2. Get predictions. Review the predicted consequences and warnings generated by the model.
  3. Adjust and post. Refine your post based on the insights, then share with greater awareness of potential outcomes.

Safety and Ethical Considerations

  • Use as a decision-support tool, not as a substitute for your judgment.
  • Avoid publishing content that could cause harm, harass, or discriminate against individuals or groups.
  • Respect privacy and consent when posting about real people or sensitive events.

Core Features

  • Predicts potential consequences of social media posts
  • Warnings about misunderstandings, backlash, or misinterpretations
  • Character-limit aware input to guide concise drafting
  • Simple, tweet/post-focused interface inspired by a playful, fictional concept
  • Ability to share results publicly with #ConradAI to gather community feedback
  • Compatible with both dark_mode and light_mode environments